{"pageNumber":"465","pageRowStart":"11600","pageSize":"25","recordCount":184606,"records":[{"id":70223282,"text":"sir20215064 - 2021 - Geohydrology and water quality of the stratified-drift aquifers in West Branch Cayuga Inlet and Fish Kill Valleys, Newfield, Tompkins County, New York","interactions":[],"lastModifiedDate":"2021-08-30T15:07:53.555341","indexId":"sir20215064","displayToPublicDate":"2021-08-30T10:00:00","publicationYear":"2021","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":"2021-5064","displayTitle":"Geohydrology and Water Quality of the Stratified-Drift Aquifers in West Branch Cayuga Inlet and Fish Kill Valleys, Newfield, Tompkins County, New York","title":"Geohydrology and water quality of the stratified-drift aquifers in West Branch Cayuga Inlet and Fish Kill Valleys, Newfield, Tompkins County, New York","docAbstract":"<p>From 2011 to 2016, the U.S. Geological Survey, in cooperation with the Town of Newfield and the Tompkins County Planning Department, performed a study of the stratified-drift aquifers in the West Branch Cayuga Inlet and Fish Kill Valleys in Newfield, Tompkins County, New York. Both confined and unconfined aquifers were identified, mostly in the valleys. The confined aquifer consists of a discontinuous sand and gravel layer that overlies bedrock and is commonly confined by overlying fine-grained sediments. The unconfined aquifer consists of surficial ice contact sand and gravel, alluvial silt, sand and gravel, and areas where several large tributary streams deposited alluvial fans in the valley, all of which were deposited during and after the last glacial recession.</p><p>The unconfined aquifers are primarily recharged by direct infiltration of precipitation at the land surface, by surface runoff and shallow subsurface flow from adjacent hillsides, and by seepage loss from streams crossing the aquifer, especially on alluvial fans. The confined aquifers are primarily recharged by groundwater stored in the overlying sand and gravel aquifer that slowly seeps downward through the underlying confining layer. Other sources of recharge are precipitation that falls directly on the surficial confining unit and adjacent valley walls, which then slowly seeps downward and enters the confined aquifer, and groundwater flow from bordering till and bedrock and from bedrock below the valley. There may also be some recharge where confining units are absent or where parts of the confining units contain sediments with moderate permeability.</p><p>The groundwater naturally discharges to the Fish Kill and West Branch Cayuga Inlet streams and to wetlands overlying the aquifer boundaries, with additional losses due to evapotranspiration. Groundwater is pumped from the aquifers by domestic, municipal, and agricultural wells. Approximately 57.9 million gallons per year was withdrawn from the stratified-drift (sand and gravel) aquifers.</p><p>Groundwater samples were collected from 11 wells, and surface water samples were collected at 2 sites, one each from Fish Kill and West Branch Cayuga Inlet. None of the common ions (for example, sodium, chloride, and magnesium) exceeded existing drinking water standards at either surface water site. The concentration of nitrate plus nitrite detected was 0.4 milligram per liter as nitrogen in the West Branch Cayuga Inlet site. Total phosphorus was detected at 0.01 milligram per liter as phosphate for both sites. Of the 11 wells sampled, 8 were finished in confined sand and gravel aquifers, 1 was finished in unconfined sand and gravel, and 2 were finished in shale bedrock. Groundwater quality in the study area generally met Federal and State drinking-water standards. However, of the 11 samples taken, 2 exceeded the U.S. Environmental Protection Agency drinking water advisory taste threshold of 20 milligrams per liter for sodium, 8 exceeded the secondary maximum contaminant level of 300 micrograms per liter for iron, and 9 exceeded the secondary maximum contaminant level of 50 micrograms per liter for manganese.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215064","collaboration":"Prepared in cooperation with the Town of Newfield and the Tompkins County Planning Department","usgsCitation":"Fisher, B.N., Heisig, P.M., and Kappel, W.M., 2021, Geohydrology and water quality of the stratified-drift aquifers in West Branch Cayuga Inlet and Fish Kill Valleys, Newfield, Tompkins County, New York: U.S. Geological Survey Scientific Investigations Report 2021–5064, 42 p., https://doi.org/10.3133/sir20215064.","productDescription":"Report: vii, 42 p.; 2 Tables; 2 Data Releases","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-103464","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":388165,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5064/coverthb.jpg"},{"id":388166,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5064/sir20215064.pdf","text":"Report","size":"5.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5064"},{"id":388167,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94Y3E81","text":"USGS data release","linkHelpText":"Geospatial datasets for the geohydrology and water quality of the stratified-drift aquifers in West Branch Cayuga Inlet/Fish Kill aquifers in Newfield, Tompkins County, New York"},{"id":388169,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2021/5064/sir20215064_table03.01.csv","text":"Table 3.1","size":"4.74 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Physical properties and concentrations of common ions, nutrients, radiochemical properties, and dissolved gases in groundwater samples from confined aquifers in the West Branch Cayuga Inlet and Fish Kill Creek Valleys, Newfield, Tompkins County, New York"},{"id":388217,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5064/images/"},{"id":388218,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5064/sir20215064.XML"},{"id":388170,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2021/5064/sir20215064_table03.02.csv","text":"Table 3.2","size":"2.98 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Concentrations of trace elements in groundwater samples from confined aquifers in the West Branch Cayuga Inlet and Fish Kill Creek Valleys, Newfield, Tompkins County, New York"},{"id":388168,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N6AZ4E","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio and depth-to-bedrock for geohydrology and water quality of the stratified-drift aquifer in West Branch Cayuga Inlet and Fish Kill Valleys, Newfield, Tompkins County, New York, July 2011–November 2016"}],"country":"United States","state":"New York","otherGeospatial":"West Branch Cayuga Inlet and Fish Kill Valleys","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.83333333,\n              42.1666\n            ],\n            [\n              -76.83333333,\n              42.8333\n            ],\n            [\n              -76.00,\n              42.83333333\n            ],\n            [\n              -76.00,\n              42.1666\n            ],\n            [\n              -76.83333333,\n              42.1666\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Investigation</li><li>Depositional History and Framework of Glacial and Postglacial Deposits</li><li>Quality of Surface Water and Groundwater in the Stratified-Drift Aquifer in Newfield</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li><li>Appendix 2</li><li>Appendix 3</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-08-30","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, Benjamin N. 0000-0003-1308-1906","orcid":"https://orcid.org/0000-0003-1308-1906","contributorId":220916,"corporation":false,"usgs":true,"family":"Fisher","given":"Benjamin","email":"","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821597,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227498,"text":"70227498 - 2021 - Swipe left on the “big one”: Better dates for Cascadia quakes","interactions":[],"lastModifiedDate":"2022-01-20T14:43:43.472662","indexId":"70227498","displayToPublicDate":"2021-08-30T08:32:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7458,"text":"Eos Science News","active":true,"publicationSubtype":{"id":10}},"title":"Swipe left on the “big one”: Better dates for Cascadia quakes","docAbstract":"<p><span>Improving our understanding of hazards posed by future large earthquakes on the Cascadia Subduction Zone requires advancements in the methods and sampling used to date and characterize past events.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021EO162183","usgsCitation":"Pearl, J.K., and Staisch, L.M., 2021, Swipe left on the “big one”: Better dates for Cascadia quakes: Eos Science News, no. 102, HTML Document, https://doi.org/10.1029/2021EO162183.","productDescription":"HTML Document","ipdsId":"IP-128367","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":451033,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021eo162183","text":"Publisher Index Page"},{"id":394578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -136.58203125,\n              38.65119833229951\n            ],\n            [\n              -119.83886718750001,\n              38.65119833229951\n            ],\n            [\n              -119.83886718750001,\n              55.87531083569679\n            ],\n            [\n              -136.58203125,\n              55.87531083569679\n            ],\n            [\n              -136.58203125,\n              38.65119833229951\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"102","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pearl, Jessie K. 0000-0002-1556-2159","orcid":"https://orcid.org/0000-0002-1556-2159","contributorId":242893,"corporation":false,"usgs":true,"family":"Pearl","given":"Jessie","email":"","middleInitial":"K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":831188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":831189,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227494,"text":"70227494 - 2021 - Book review of \"A most remarkable creature: The hidden life and epic journey of the world’s smartest birds of prey\"","interactions":[],"lastModifiedDate":"2022-01-20T14:31:48.234308","indexId":"70227494","displayToPublicDate":"2021-08-30T08:31:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Book review of \"A most remarkable creature: The hidden life and epic journey of the world’s smartest birds of prey\"","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jofo.12377","usgsCitation":"Andersen, D.E., 2021, Book review of \"A most remarkable creature: The hidden life and epic journey of the world’s smartest birds of prey\": Journal of Field Ornithology, v. 92, no. 3, p. 305-306, https://doi.org/10.1111/jofo.12377.","productDescription":"2 p.","startPage":"305","endPage":"306","ipdsId":"IP-130276","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":394576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70223824,"text":"70223824 - 2021 - Early Pleistocene climate-induced erosion of the Alaska Range formed the Nenana Gravel","interactions":[],"lastModifiedDate":"2021-11-26T17:55:00.772513","indexId":"70223824","displayToPublicDate":"2021-08-30T07:32:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Early Pleistocene climate-induced erosion of the Alaska Range formed the Nenana Gravel","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>The Pliocene-Pleistocene transition resulted in extensive global cooling and glaciation, but isolating this climate signal within erosion and exhumation responses in tectonically active regimes can be difficult. The Nenana Gravel is a foreland basin deposit in the northern foothills of the Alaska Range (USA) that has long been linked to unroofing of the Alaska Range starting ca. 6 Ma. Using<span>&nbsp;</span><sup>26</sup>Al/<sup>10</sup>Be cosmogenic nuclide burial dating, we determined the timing of deposition of the Nenana Gravel and an overlying remnant of the first glacial advance into the northern foothills. Our results indicate that initial deposition of the Nenana Gravel occurred at the onset of the Pleistocene ca. 2.34 Ma and continued until at least ca. 1.7 Ma. The timing of initial deposition is correlative with expansion of the Cordilleran ice sheet, suggesting that the deposit formed due to increased glacial erosion in the Alaska Range. Abandonment of Nenana Gravel deposition occurred prior to the first glaciation extending into the northern foothills. This glaciation was hypothesized to have occurred ca. 1.5 Ma, but we found that it occurred ca. 0.39 Ma. A Pleistocene age for the Nenana Gravel and marine oxygen isotope stage 10 age for the oldest glaciation of the foothills necessitate reanalysis of incision and tectonic rates in the northern foothills of the Alaska Range, in addition to a shift in perspective on how these deposits fit into the climatic and tectonic history of the region.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49094.1","usgsCitation":"Sortor, R., Goehring, B., Bemis, S., Ruleman, C.A., Caffee, M., and Ward, D., 2021, Early Pleistocene climate-induced erosion of the Alaska Range formed the Nenana Gravel: Geology, v. 49, no. 12, p. 1473-1477, https://doi.org/10.1130/G49094.1.","productDescription":"5 p.","startPage":"1473","endPage":"1477","ipdsId":"IP-125642","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":451039,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/109812","text":"External Repository"},{"id":388993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.490234375,\n              62.471723714758724\n            ],\n            [\n              -144.4482421875,\n              62.471723714758724\n            ],\n            [\n              -144.4482421875,\n              64.11060221954634\n            ],\n            [\n              -152.490234375,\n              64.11060221954634\n            ],\n            [\n              -152.490234375,\n              62.471723714758724\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Sortor, Rachel","contributorId":265483,"corporation":false,"usgs":false,"family":"Sortor","given":"Rachel","email":"","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":822797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goehring, Brent","contributorId":265484,"corporation":false,"usgs":false,"family":"Goehring","given":"Brent","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":822798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bemis, Sean","contributorId":265486,"corporation":false,"usgs":false,"family":"Bemis","given":"Sean","affiliations":[{"id":54689,"text":"Virginia Polytechnical Institute and State University","active":true,"usgs":false}],"preferred":false,"id":822799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":822800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caffee, Marc","contributorId":265488,"corporation":false,"usgs":false,"family":"Caffee","given":"Marc","affiliations":[{"id":54691,"text":"Purdue University, PRIME laboratory","active":true,"usgs":false}],"preferred":false,"id":822801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ward, Dylan","contributorId":265490,"corporation":false,"usgs":false,"family":"Ward","given":"Dylan","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":822802,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232171,"text":"70232171 - 2021 - The role of genome duplication in big sagebrush growth and fecundity","interactions":[],"lastModifiedDate":"2022-06-09T12:27:29.793763","indexId":"70232171","displayToPublicDate":"2021-08-30T07:26:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"The role of genome duplication in big sagebrush growth and fecundity","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><h3 id=\"ajb21714-sec-0010-title\" class=\"article-section__sub-title section1\">Premise</h3><p>Adaptive traits can be dramatically altered by genome duplication. The study of interactions among traits, ploidy, and the environment are necessary to develop an understanding of how polyploidy affects niche differentiation and to develop restoration strategies for resilient native ecosystems.</p><h3 id=\"ajb21714-sec-0020-title\" class=\"article-section__sub-title section1\">Methods</h3><p>Growth and fecundity were measured in common gardens for 39 populations of big sagebrush (<i>Artemisia tridentata</i>) containing two subspecies and two ploidy levels. General linear mixed-effect models assessed how much of the trait variation could be attributed to genetics (i.e., ploidy and climatic adaptation), environment, and gene–environment interactions.</p><h3 id=\"ajb21714-sec-0030-title\" class=\"article-section__sub-title section1\">Results</h3><p>Growth and fecundity variation were explained well by the mixed models (80% and 91%, respectively). Much of the trait variation was attributed to environment, and 15% of variation in growth and 34% of variation in seed yield were attributed to genetics. Genetic trait variation was mostly attributable to ploidy, with much higher growth and seed production in diploids, even in a warm-dry environment typically dominated by tetraploids. Population-level genetic variation was also evident and was related to the climate of each population's origin.</p><h3 id=\"ajb21714-sec-0040-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>Ploidy is a strong predictor growth and seed yield, regardless of common-garden environment. The superior growth and fecundity of diploids across environments raises the question as to how tetraploids can be more prevalent than diploids, especially in warm-dry environments. Two hypotheses that may explain the abundance of tetraploids on the landscape include selection for drought resistance at the seedling stage, and greater competitive ability in water uptake in the upper soil horizon.</p></div></div>","language":"English","publisher":"Botanical Society of America","doi":"10.1002/ajb2.1714","usgsCitation":"Richardson, B., Germino, M., Warwell, M.V., and Buerki, S., 2021, The role of genome duplication in big sagebrush growth and fecundity: American Journal of Botany, v. 108, no. 8, p. 1405-1416, https://doi.org/10.1002/ajb2.1714.","productDescription":"12 p.","startPage":"1405","endPage":"1416","ipdsId":"IP-121824","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":451041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.1714","text":"Publisher Index Page"},{"id":401968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Bryce 0000-0001-9521-4367","orcid":"https://orcid.org/0000-0001-9521-4367","contributorId":195702,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":844436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew","contributorId":292386,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warwell, Marcus V","contributorId":292387,"corporation":false,"usgs":false,"family":"Warwell","given":"Marcus","email":"","middleInitial":"V","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":844438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buerki, Sven","contributorId":257075,"corporation":false,"usgs":false,"family":"Buerki","given":"Sven","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70238839,"text":"70238839 - 2021 - Surface energy balance of sub-Arctic roads with varying snow regimes and properties in permafrost regions","interactions":[],"lastModifiedDate":"2022-12-14T14:01:54.669694","indexId":"70238839","displayToPublicDate":"2021-08-30T07:25:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Surface energy balance of sub-Arctic roads with varying snow regimes and properties in permafrost regions","docAbstract":"<p><span>Surface energy balance (SEB) strongly influences the thermal state of permafrost, cryohydrological processes, and infrastructure stability. Road construction and snow accumulation affect the energy balance of underlying permafrost. Herein, we use an experimental road section of the Alaska Highway to develop a SEB model to quantify the surface energy components and ground surface temperature (GST) for different land cover types with varying snow regimes and properties. Simulated and measured ground temperatures are in good agreement, and our results show that the quantity of heat entering the embankment center and slope is mainly controlled by net radiation, and less by the sensible heat flux. In spring, lateral heat flux from the embankment center leads to earlier disappearance of snowpack on the embankment slope. In winter, the insulation created by the snow cover on the embankment slope reduces heat loss by a factor of three compared with the embankment center where the snow is plowed. The surface temperature offsets are 5.0°C and 7.8°C for the embankment center and slope, respectively. Furthermore, the heat flux released on the embankment slope exponentially decreases with increasing snow depth, and linearly decreases with earlier snow cover in fall and shorter snow-covered period in spring.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ppp.2129","usgsCitation":"Chen, L., Voss, C., Fortier, D., and McKenzie, J.M., 2021, Surface energy balance of sub-Arctic roads with varying snow regimes and properties in permafrost regions: Permafrost and Periglacial Processes, v. 32, no. 4, p. 681-701, https://doi.org/10.1002/ppp.2129.","productDescription":"21 p.","startPage":"681","endPage":"701","ipdsId":"IP-121759","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":410466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Yukon","otherGeospatial":"Beaver Creek area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -140.9,\n              62.4\n            ],\n            [\n              -140.9,\n              62.3\n            ],\n            [\n              -140.85,\n              62.3\n            ],\n            [\n              -140.85,\n              62.4\n            ],\n            [\n              -140.9,\n              62.4\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Lin","contributorId":299914,"corporation":false,"usgs":false,"family":"Chen","given":"Lin","email":"","affiliations":[],"preferred":false,"id":858867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":858868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fortier, Daniel","contributorId":194641,"corporation":false,"usgs":false,"family":"Fortier","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":858869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenzie, Jeffrey M.","contributorId":176299,"corporation":false,"usgs":false,"family":"McKenzie","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":858870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248735,"text":"70248735 - 2021 - Resilience of terrestrial and aquatic fauna to historical and future wildfire regimes in western North America","interactions":[],"lastModifiedDate":"2023-09-19T12:25:00.745005","indexId":"70248735","displayToPublicDate":"2021-08-30T07:22:16","publicationYear":"2021","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":"Resilience of terrestrial and aquatic fauna to historical and future wildfire regimes in western North America","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Wildfires in many western North American forests are becoming more frequent, larger, and severe, with changed seasonal patterns. In response, coniferous forest ecosystems will transition toward dominance by fire-adapted hardwoods, shrubs, meadows, and grasslands, which may benefit some faunal communities, but not others. We describe factors that limit and promote faunal resilience to shifting wildfire regimes for terrestrial and aquatic ecosystems. We highlight the potential value of interspersed nonforest patches to terrestrial wildlife. Similarly, we review watershed thresholds and factors that control the resilience of aquatic ecosystems to wildfire, mediated by thermal changes and chemical, debris, and sediment loadings. We present a 2-dimensional life history framework to describe temporal and spatial life history traits that species use to resist wildfire effects or to recover after wildfire disturbance at a metapopulation scale. The role of fire refuge is explored for metapopulations of species. In aquatic systems, recovery of assemblages postfire may be faster for smaller fires where unburned tributary basins or instream structures provide refuge from debris and sediment flows. We envision that more-frequent, lower-severity fires will favor opportunistic species and that less-frequent high-severity fires will favor better competitors. Along the spatial dimension, we hypothesize that fire regimes that are predictable and generate burned patches in close proximity to refuge will favor species that move to refuges and later recolonize, whereas fire regimes that tend to generate less-severely burned patches may favor species that shelter in place. Looking beyond the trees to forest fauna, we consider mitigation options to enhance resilience and buy time for species facing a no-analog future.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8026","usgsCitation":"Jager, H.I., Long, J.W., Malison, R.L., Murphy, B., Rust, A.J., Silva, L., Sollmann, R., Steel, Z.L., Bowen, M., Dunham, J., Ebersole, J.L., and Flitcroft, R.L., 2021, Resilience of terrestrial and aquatic fauna to historical and future wildfire regimes in western North America: Ecology and Evolution, v. 11, no. 18, p. 12259-12284, https://doi.org/10.1002/ece3.8026.","productDescription":"26 p.","startPage":"12259","endPage":"12284","ipdsId":"IP-131638","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":451046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8026","text":"Publisher Index Page"},{"id":420946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"18","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Jager, Henriette I.","contributorId":206774,"corporation":false,"usgs":false,"family":"Jager","given":"Henriette","email":"","middleInitial":"I.","affiliations":[{"id":37400,"text":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee","active":true,"usgs":false}],"preferred":false,"id":883374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Jonathan W.","contributorId":329818,"corporation":false,"usgs":false,"family":"Long","given":"Jonathan","email":"","middleInitial":"W.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":883375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malison, Rachel L 0000-0001-6803-8230","orcid":"https://orcid.org/0000-0001-6803-8230","contributorId":329819,"corporation":false,"usgs":false,"family":"Malison","given":"Rachel","email":"","middleInitial":"L","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":883376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Brendan P.","contributorId":301152,"corporation":false,"usgs":false,"family":"Murphy","given":"Brendan P.","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":883377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rust, Ashley J.","contributorId":219575,"corporation":false,"usgs":false,"family":"Rust","given":"Ashley","email":"","middleInitial":"J.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":883378,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Silva, Luiz 0000-0002-2329-5601","orcid":"https://orcid.org/0000-0002-2329-5601","contributorId":329820,"corporation":false,"usgs":false,"family":"Silva","given":"Luiz","email":"","affiliations":[{"id":40173,"text":"Charles Sturt University","active":true,"usgs":false}],"preferred":false,"id":883379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sollmann, Rahel 0000-0002-1607-2039","orcid":"https://orcid.org/0000-0002-1607-2039","contributorId":244998,"corporation":false,"usgs":false,"family":"Sollmann","given":"Rahel","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":883380,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Steel, Zachary L 0000-0002-1659-3141","orcid":"https://orcid.org/0000-0002-1659-3141","contributorId":329821,"corporation":false,"usgs":false,"family":"Steel","given":"Zachary","email":"","middleInitial":"L","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":883381,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowen, Mark D","contributorId":329822,"corporation":false,"usgs":false,"family":"Bowen","given":"Mark D","affiliations":[{"id":78723,"text":"Thomas Gast & Associates Environmental Consultants","active":true,"usgs":false}],"preferred":false,"id":883382,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":883383,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":883384,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Flitcroft, Rebecca L. 0000-0003-3341-996X","orcid":"https://orcid.org/0000-0003-3341-996X","contributorId":172180,"corporation":false,"usgs":false,"family":"Flitcroft","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":883385,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70253092,"text":"70253092 - 2021 - GeoAI in the US Geological Survey for topographic mapping","interactions":[],"lastModifiedDate":"2024-04-18T12:16:33.943595","indexId":"70253092","displayToPublicDate":"2021-08-30T07:14:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3618,"text":"Transactions in GIS","active":true,"publicationSubtype":{"id":10}},"title":"GeoAI in the US Geological Survey for topographic mapping","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Geospatial artificial intelligence (GeoAI) can be defined broadly as the application of artificial intelligence methods and techniques to geospatial data, processes, models, and applications. The application of these methods to topographic data and phenomena is a focus of research in the US Geological Survey (USGS). Specifically, the USGS has researched and developed applications in terrain feature extraction, hydrographic network extraction, and semantic modeling. This article is a documentation of the recent work and current state of research and development. The article helps define the accomplishments and directions of research and applications in fields of GeoAI for topographic mapping within the USGS and more broadly.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/tgis.12830","usgsCitation":"Usery, E., Arundel, S., Shavers, E.J., Stanislawski, L., Thiem, P.T., and Varanka, D.E., 2021, GeoAI in the US Geological Survey for topographic mapping: Transactions in GIS, v. 26, no. 1, p. 25-40, https://doi.org/10.1111/tgis.12830.","productDescription":"16 p.","startPage":"25","endPage":"40","ipdsId":"IP-126887","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":427902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Usery, E. Lynn 0000-0002-2766-2173","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":204684,"corporation":false,"usgs":true,"family":"Usery","given":"E. Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":899123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":899124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":899125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":210088,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":899126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thiem, Philip T. 0000-0002-3324-2589","orcid":"https://orcid.org/0000-0002-3324-2589","contributorId":287990,"corporation":false,"usgs":true,"family":"Thiem","given":"Philip","email":"","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":899127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":899128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223822,"text":"70223822 - 2021 - Visitors count! Guidance for protected areas on the economic analysis of visitation","interactions":[],"lastModifiedDate":"2021-09-09T13:24:14.45928","indexId":"70223822","displayToPublicDate":"2021-08-29T08:10:09","publicationYear":"2021","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Visitors count! Guidance for protected areas on the economic analysis of visitation","docAbstract":"The value of protected areas is often hidden from direct view. Once managers understand the number and behaviour of visitors they host, and the revenues and costs they generate, informed decisions on management plans and tourism strategies can be made.\nDemonstrating the positive impact of protected areas on the local economy\ncan lead to greater buy-in and ownership of conservation practices and\nplaces, less poaching and land encroachment, and may also help offset\nsome of the human-wildlife conflict where it occurs.\nDrawing on case studies from around the world, Visitors Count! aims to\nbuild awareness, knowledge and capacity internationally on how to best\nundertake economic evaluations of tourism in protected areas, and thereby\ncontribute towards a globally acknowledged standard methodology.","language":"English","publisher":"UNESCO","isbn":"9789231004650","usgsCitation":"Spenceley, A., Schagner, J.P., Engels, B., Cullinane Thomas, C., Engelbauer, M., Erkkonen, J., Job, H., Kajala, L., Majewski, L., Metzler, D., Mayer, M., Rylance, A., Woltering, M., Scheder, N., Smith-Christensen, C., and Beraldo Souza, T., 2021, Visitors count! Guidance for protected areas on the economic analysis of visitation, 111 p.","productDescription":"111 p.","ipdsId":"IP-097435","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":388999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":388982,"type":{"id":15,"text":"Index Page"},"url":"https://unesdoc.unesco.org/ark:/48223/pf0000378568?posInSet=1&queryId=04dc875b-f9c1-4f60-9776-b77034373026"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Spenceley, Anna","contributorId":265521,"corporation":false,"usgs":false,"family":"Spenceley","given":"Anna","affiliations":[],"preferred":false,"id":822862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schagner, Jan Philipp","contributorId":265522,"corporation":false,"usgs":false,"family":"Schagner","given":"Jan","email":"","middleInitial":"Philipp","affiliations":[],"preferred":false,"id":822863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engels, Barbara","contributorId":265523,"corporation":false,"usgs":false,"family":"Engels","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":822864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engelbauer, Mauel","contributorId":265524,"corporation":false,"usgs":false,"family":"Engelbauer","given":"Mauel","email":"","affiliations":[],"preferred":false,"id":822866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erkkonen, Joel","contributorId":265525,"corporation":false,"usgs":false,"family":"Erkkonen","given":"Joel","email":"","affiliations":[],"preferred":false,"id":822867,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Job, Hubert","contributorId":265526,"corporation":false,"usgs":false,"family":"Job","given":"Hubert","email":"","affiliations":[],"preferred":false,"id":822868,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kajala, Liisa","contributorId":265527,"corporation":false,"usgs":false,"family":"Kajala","given":"Liisa","email":"","affiliations":[],"preferred":false,"id":822869,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Majewski, Lisa","contributorId":265528,"corporation":false,"usgs":false,"family":"Majewski","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":822870,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Metzler, Daniel","contributorId":265482,"corporation":false,"usgs":false,"family":"Metzler","given":"Daniel","email":"","affiliations":[{"id":54688,"text":"Munich University of Applied Sciences","active":true,"usgs":false}],"preferred":false,"id":822871,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mayer, Marius","contributorId":265529,"corporation":false,"usgs":false,"family":"Mayer","given":"Marius","email":"","affiliations":[],"preferred":false,"id":822872,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rylance, Andrew","contributorId":265530,"corporation":false,"usgs":false,"family":"Rylance","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":822873,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Woltering, Manuel","contributorId":265531,"corporation":false,"usgs":false,"family":"Woltering","given":"Manuel","email":"","affiliations":[],"preferred":false,"id":822874,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Scheder, Niklas","contributorId":265532,"corporation":false,"usgs":false,"family":"Scheder","given":"Niklas","email":"","affiliations":[],"preferred":false,"id":822875,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Smith-Christensen, Cecile","contributorId":265533,"corporation":false,"usgs":false,"family":"Smith-Christensen","given":"Cecile","email":"","affiliations":[],"preferred":false,"id":822876,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Beraldo Souza, Thiago","contributorId":265534,"corporation":false,"usgs":false,"family":"Beraldo Souza","given":"Thiago","email":"","affiliations":[],"preferred":false,"id":822877,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70229529,"text":"70229529 - 2021 - American eel personality and body length influence passage success in an experimental fishway","interactions":[],"lastModifiedDate":"2022-03-11T12:32:47.498359","indexId":"70229529","displayToPublicDate":"2021-08-28T10:51:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"American eel personality and body length influence passage success in an experimental fishway","docAbstract":"<ol class=\"\"><li>Millions of dams impair watershed connectivity across the globe and have severely affected migratory fish populations. Fishways offer upstream passage opportunities, but artificial selection may be imposed by these structures. Using juvenile American eel<span>&nbsp;</span><i>Anguilla rostrata</i><span>&nbsp;</span>as a model species, we consider whether individual differences in behaviour (i.e. personality) and fish size can predict passage success.</li><li>We evaluated the expression of bold and exploratory behaviours using open field and emergence assays in the laboratory. Then we assessed the propensity for individuals to volitionally climb through an experimental fishway to understand if personality and fish size could predict climbing success.</li><li>We demonstrate personality in juvenile eels, and swimming speed in the open field was negatively associated with climbing propensity. Slower swimmers were up to 60% more likely to use the passage device suggesting that more exploratory eels incurred greater passage success. For successful climbers, climbing time was negatively associated with fish length.</li><li><i>Synthesis and applications</i>. Our results suggest fish may segregate at barriers based on personality and size. Preventing a subset of individuals from accessing upstream habitat is likely to have negative consequences for fish populations and aquatic ecosystems. Selection may be alleviated by increasing passage opportunities, maximizing fishway attraction and avoiding inefficient passage solutions.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14009","usgsCitation":"Mensinger, M.A., Brehm, A.M., Mortelliti, A., Blomberg, E., and Zydlewski, J.D., 2021, American eel personality and body length influence passage success in an experimental fishway: Journal of Applied Ecology, v. 58, no. 12, p. 2760-2769, https://doi.org/10.1111/1365-2664.14009.","productDescription":"10 p.","startPage":"2760","endPage":"2769","ipdsId":"IP-126473","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":397007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Mensinger, Matthew A.","contributorId":288336,"corporation":false,"usgs":false,"family":"Mensinger","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":837768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehm, Allison M.","contributorId":288337,"corporation":false,"usgs":false,"family":"Brehm","given":"Allison","email":"","middleInitial":"M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":837769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortelliti, Alessio","contributorId":288338,"corporation":false,"usgs":false,"family":"Mortelliti","given":"Alessio","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":837770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blomberg, Erik J.","contributorId":288339,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":837771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":837767,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224565,"text":"70224565 - 2021 - Groundwater, biodiversity, and the role of flow system scale","interactions":[],"lastModifiedDate":"2022-01-06T17:22:41.248645","indexId":"70224565","displayToPublicDate":"2021-08-28T07:33:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater, biodiversity, and the role of flow system scale","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Groundwater-dependent ecosystems and species (GDEs) are found throughout watersheds at locations of groundwater discharge, yet not all GDEs are the same, nor are the groundwater systems supporting them. Groundwater moves along a variety of flow paths of different lengths and with different contributing areas, ranging from shorter local flow paths with low discharge and large seasonal variability to streams, springs and wetlands to longer regional flow paths with potentially larger discharge and low seasonal variability, commonly at low basin elevations. How does this variation in physical hydrology affect the type and distribution of GDEs? Using data on hypsographic position, groundwater-dependent species distributions, groundwater pumping and streamflow from Oregon, USA, we provide a conceptual model and initial supporting evidence demonstrating that spatial variation in groundwater flow path scales, illustrated using basin hypsography, is a driver of non-random distribution of GDEs across watersheds. Further, we posit that the spatial variation in primary stressors to groundwater (e.g. pumping and climate change) will differentially affect GDEs depending on their hypsographic position. Furthermore, because of their use for irrigation and municipal water supply, regional groundwater systems and associated species are more likely to be studied and receive regulatory protection. Our initial data point to a disproportionate focus on larger discharge, lower elevation GDEs, which leads to a bias in our understanding of the full suite of biodiversity associated with groundwater discharge as well as their stressors and potential mechanisms for protection.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/eco.2342","usgsCitation":"Aldous, A.R., and Gannett, M.W., 2021, Groundwater, biodiversity, and the role of flow system scale: Ecohydrology, v. 14, no. 8, e2342, 14 p., https://doi.org/10.1002/eco.2342.","productDescription":"e2342, 14 p.","ipdsId":"IP-117907","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":451049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2342","text":"Publisher Index Page"},{"id":389865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Aldous, Allison R 0000-0002-8670-6017","orcid":"https://orcid.org/0000-0002-8670-6017","contributorId":266015,"corporation":false,"usgs":false,"family":"Aldous","given":"Allison","email":"","middleInitial":"R","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":824080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70224265,"text":"70224265 - 2021 - Taxonomic and functional differences between winter and summer crustacean zooplankton communities in lakes across a trophic gradient","interactions":[],"lastModifiedDate":"2021-10-06T16:02:30.076217","indexId":"70224265","displayToPublicDate":"2021-08-28T07:10:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2430,"text":"Journal of Plankton Research","active":true,"publicationSubtype":{"id":10}},"title":"Taxonomic and functional differences between winter and summer crustacean zooplankton communities in lakes across a trophic gradient","docAbstract":"<p class=\"chapter-para\">Despite increasing interest in winter limnology, few studies have examined under-ice zooplankton communities and the factors shaping them in different types of temperate lakes. To better understand drivers of zooplankton community structure in winter and summer, we sampled 13 lakes across a large trophic status gradient for crustacean zooplankton abundance, taxonomic and functional community composition and C/N stable isotopes. Average winter zooplankton densities were one-third of summer densities across the study lakes. Proportionally, cladocerans were more abundant in summer than winter, with the opposite pattern for calanoids and cyclopoids. In green (eutrophic) lakes, zooplankton densities were higher under the ice than in brown (dystrophic) and blue (oligotrophic) lakes, suggesting better conditions for zooplankton in productive lakes during winter. Overall, zooplankton communities were more similar across lakes under the ice than during the open water season. Feeding group classification showed a decrease in herbivore abundance and an increase in predators from summer to winter. C/N stable isotope results suggested higher lipid content in overwintering zooplankton and potentially increased reliance on the microbial loop by winter zooplankton. Our results show substantial variation in the seasonality of zooplankton communities in different lake types and identify some of the factors responsible for this variation.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/plankt/fbab050","usgsCitation":"Shchapov, K., Wilburn, P., Bramburger, A., Silsbe, G., Olmanson, L., Crawford, C., Litchmann, E., and Ozersky, T., 2021, Taxonomic and functional differences between winter and summer crustacean zooplankton communities in lakes across a trophic gradient: Journal of Plankton Research, v. 43, no. 5, p. 732-750, https://doi.org/10.1093/plankt/fbab050.","productDescription":"19 p.","startPage":"732","endPage":"750","ipdsId":"IP-129395","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":451050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/41624","text":"External Repository"},{"id":389326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.41650390625,\n              44.793530904744074\n            ],\n            [\n              -90.615234375,\n              44.793530904744074\n            ],\n            [\n              -90.615234375,\n              48.56024979174329\n            ],\n            [\n              -94.41650390625,\n              48.56024979174329\n            ],\n            [\n              -94.41650390625,\n              44.793530904744074\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Shchapov, Kirill","contributorId":265794,"corporation":false,"usgs":false,"family":"Shchapov","given":"Kirill","email":"","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":823401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilburn, P.","contributorId":265795,"corporation":false,"usgs":false,"family":"Wilburn","given":"P.","email":"","affiliations":[{"id":54804,"text":"NASA Ames","active":true,"usgs":false}],"preferred":false,"id":823402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bramburger, A.","contributorId":265796,"corporation":false,"usgs":false,"family":"Bramburger","given":"A.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":823403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silsbe, G.","contributorId":265798,"corporation":false,"usgs":false,"family":"Silsbe","given":"G.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":823404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olmanson, L.","contributorId":265799,"corporation":false,"usgs":false,"family":"Olmanson","given":"L.","affiliations":[{"id":33108,"text":"University of Minnesota Twin Cities","active":true,"usgs":false}],"preferred":false,"id":823405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":823406,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Litchmann, E.","contributorId":265800,"corporation":false,"usgs":false,"family":"Litchmann","given":"E.","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":823407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ozersky, T.","contributorId":265801,"corporation":false,"usgs":false,"family":"Ozersky","given":"T.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":823408,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263865,"text":"70263865 - 2021 - LiDAR and paleoseismology solve earthquake mystery in the Pacific Northwest, USA","interactions":[],"lastModifiedDate":"2025-02-27T14:14:12.482234","indexId":"70263865","displayToPublicDate":"2021-08-28T00:00:00","publicationYear":"2021","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":"LiDAR and paleoseismology solve earthquake mystery in the Pacific Northwest, USA","docAbstract":"<p><span>One of the largest historical earthquakes in the U.S. Pacific Northwest occurred on December 15, 1872 near the south end of Lake Chelan. Lack of recognized surface deformation suggested that the earthquake occurred on a blind, perhaps deep, fault. New LiDAR data revealed a NW-side-up scarp along the north side of Spencer Canyon near Entiat, Washington. Landslides triggered during the earthquake impounded small ponds in Spencer Canyon; the larger of the two landslides obliterated a portion of the scarp. Tree-ring counts show that the oldest trees on each landslide are 130 and 128&nbsp;years old, and lend credence to the idea that the earthquake triggered the landslides. Trenches across the scarp exposed a NW-dipping thrust fault offsetting young soils and Mesozoic bedrock. Radiocarbon and tree ring data shows that the last fault movement was between 1856 and 1873 CE, and was most likely during the 1872 CE earthquake.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL093318","usgsCitation":"Sherrod, B.L., Blakely, R., and Weaver, C., 2021, LiDAR and paleoseismology solve earthquake mystery in the Pacific Northwest, USA: Geophysical Research Letters, v. 48, no. 16, e2021GL093318, 9 p., https://doi.org/10.1029/2021GL093318.","productDescription":"e2021GL093318, 9 p.","ipdsId":"IP-097563","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487175,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gl093318","text":"Publisher Index Page"},{"id":482509,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Idaho, Montana, Oregon, Washington","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -128.51232932665914,\n              52.80136491932822\n            ],\n            [\n              -128.51232932665914,\n              42.07755395865152\n            ],\n            [\n              -111.38444038177542,\n              42.07755395865152\n            ],\n            [\n              -111.38444038177542,\n              52.80136491932822\n            ],\n            [\n              -128.51232932665914,\n              52.80136491932822\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"16","noUsgsAuthors":false,"publicationDate":"2021-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakely, Richard J.","contributorId":351509,"corporation":false,"usgs":false,"family":"Blakely","given":"Richard J.","affiliations":[{"id":36625,"text":"Emeritus","active":true,"usgs":false}],"preferred":false,"id":928753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, Craig S.","contributorId":224057,"corporation":false,"usgs":false,"family":"Weaver","given":"Craig S.","affiliations":[],"preferred":false,"id":928754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70223484,"text":"ofr20211077 - 2021 - Water quality, instream habitat, and the distribution of suckers in the upper Lost River watershed of Oregon and California, summer 2018","interactions":[],"lastModifiedDate":"2021-08-30T11:54:50.759707","indexId":"ofr20211077","displayToPublicDate":"2021-08-27T10:32:27","publicationYear":"2021","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":"2021-1077","displayTitle":"Water Quality, Instream Habitat, and the Distribution of Suckers in the Upper Lost River Watershed of Oregon and California, Summer 2018","title":"Water quality, instream habitat, and the distribution of suckers in the upper Lost River watershed of Oregon and California, summer 2018","docAbstract":"<h1>Executive Summary</h1><p class=\"p1\">Endangered Lost River (<i>Deltistes luxatus) </i>and shortnose (<i>Chasmistes brevirostris</i>) suckers primarily use lotic habitats during the spring spawning season in the Upper Klamath Lake watershed. However, summer-time surveys of the upper Lost River watershed in 1972, 1975 and 1989–90 indicated that adults of both endangered species use tributaries of Clear Lake Reservoir (hereafter: Clear Lake) year-round. Adult shortnose suckers have also been documented to use tributaries of Gerber Reservoir year-round. We surveyed the tributaries of Clear Lake and Gerber Reservoir to provide up-to-date information on the timing, distribution, and habitat use within the upper Lost River drainage by these two endangered sucker species.</p><p class=\"p1\">Contrary to previous studies, this study did not capture any Lost River suckers in the Clear Lake tributaries. Genetics samples from suckers collected during this study were used to verify that no Lost River suckers were captured. At the time of this study, genetics could not identify the differences between shortnose and the non-endangered Klamath largescale suckers (<i>Catostomus snyderi</i>), therefore, morphology was used to separate these two species. Furthermore, the shortnose suckers and the Klamath largescale suckers documented in the upper Lost River drainage are more similar to Klamath largescale suckers than shortnose suckers that exist in the Upper Klamath Lake recovery unit. Therefore, the suckers we documented during our surveys were most likely Klamath largescale suckers.</p><p class=\"p1\">We captured suckers, age-0 to age-9, in the Clear Lake tributaries within stream pools and flooded meadows behind water retention structures. However, no suckers were collected in small reservoirs sampled upstream of Clear Lake. Suckers were found in habitats with mud and fine substrate at depths of 0.5–3.0 meters, with most captured at 1.0 meter or less. Suckers co-occurred with nonnative species, which were more abundant in our survey than in previous surveys in the tributaries to Clear Lake.</p><p class=\"p2\">Gerber Reservoir tributaries yielded more suckers per unit effort than Clear Lake tributaries. All suckers captured in the tributaries of Gerber Reservoir were identified as Klamath Largescale suckers. The suckers in tributaries to Gerber Reservoir were collected in similar habitat as those in Clear Lake tributaries and were age-0 to age-6.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211077","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation","usgsCitation":"Martin, B.A., Burdick, S.M., Staiger, S.T., and Kelsey, C., 2021, Water quality, instream habitat, and the distribution of suckers in the upper Lost River watershed of Oregon and California, summer 2018: U.S. Geological Survey Open-File Report 2021–1077, 29 p., https://doi.org/10.3133/ofr20211077.","productDescription":"v, 29 p.","onlineOnly":"Y","ipdsId":"IP-122858","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":388609,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1077/coverthb.jpg"},{"id":388610,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1077/ofr20211077.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1077"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Lost River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.27783203125,\n              41.63186741069748\n            ],\n            [\n              -120.73974609374999,\n              41.63186741069748\n            ],\n            [\n              -120.73974609374999,\n              42.66628070564928\n            ],\n            [\n              -122.27783203125,\n              42.66628070564928\n            ],\n            [\n              -122.27783203125,\n              41.63186741069748\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2021-08-27","noUsgsAuthors":false,"publicationDate":"2021-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Barbara A. 0000-0002-9415-6377 barbara_ann_martin@usgs.gov","orcid":"https://orcid.org/0000-0002-9415-6377","contributorId":2855,"corporation":false,"usgs":true,"family":"Martin","given":"Barbara","email":"barbara_ann_martin@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staiger, Stephen T. 0000-0002-3777-2421 sstaiger@usgs.gov","orcid":"https://orcid.org/0000-0002-3777-2421","contributorId":264884,"corporation":false,"usgs":true,"family":"Staiger","given":"Stephen","email":"sstaiger@usgs.gov","middleInitial":"T.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelsey, Caylen M. 0000-0003-0470-0963 ckelsey@usgs.gov","orcid":"https://orcid.org/0000-0003-0470-0963","contributorId":258179,"corporation":false,"usgs":true,"family":"Kelsey","given":"Caylen","email":"ckelsey@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223458,"text":"ofr20211083 - 2021 - Evaluation of movement and survival of juvenile steelhead (Oncorhynchus mykiss) and coho salmon (Oncorhynchus kisutch) in the Klickitat River, Washington, 2018–2019","interactions":[],"lastModifiedDate":"2021-08-30T11:46:21.021396","indexId":"ofr20211083","displayToPublicDate":"2021-08-27T08:30:54","publicationYear":"2021","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":"2021-1083","displayTitle":"Evaluation of Movement and Survival of Juvenile Steelhead (<em>Oncorhynchus mykiss</em>) and Coho Salmon (<em>Oncorhynchus kisutch</em>) in the Klickitat River, Washington, 2018–2019","title":"Evaluation of movement and survival of juvenile steelhead (Oncorhynchus mykiss) and coho salmon (Oncorhynchus kisutch) in the Klickitat River, Washington, 2018–2019","docAbstract":"<p class=\"p1\">A 2-year telemetry study was conducted April–July in 2018 and 2019 to evaluate migration behavior and survival of juvenile steelhead (<i>Oncorhynchus mykiss</i>) and coho salmon (<i>O. kisutch</i>) in the Klickitat River, Washington. A total of 612 natural-origin steelhead, collected in a smolt trap on the Klickitat River, were tagged, released, and monitored as they outmigrated through the lower 17 kilometers (km) of the Klickitat River, and in the 52 km reach between the mouth of the Klickitat River and Bonneville Dam. The primary goal of the steelhead study was to estimate survival through the Klickitat River delta, the 2 km reach located at the confluence of the Klickitat and Columbia rivers. A total of 400 hatchery-origin coho salmon were tagged and released at the Klickitat Hatchery and monitored during migration through the lower 68 km of the Klickitat River and in the Columbia River to Bonneville Dam. The primary goals of the coho salmon study were (1) to estimate survival through the Klickitat River delta and (2) to determine residence time in the Klickitat River to assess potential for interactions with rearing natural-origin fish.</p><p class=\"p1\">Many tagged steelhead and coho salmon moved quickly downstream and left the Klickitat River shortly after release. Median elapsed time from release to Klickitat River exit ranged from 1.4 to 1.5 days for steelhead, and from 5.1 to 12.9 days for coho salmon during the two-year study. Ten percent of the tagged coho salmon in 2018 remained in the Klickitat River for 21.9–29.2 days before entering the Columbia River. In 2019, ten percent of the tagged coho salmon remained in the Klickitat River for 36.0–45.5 days before entering the Columbia River. This suggests that some hatchery fish spend considerable time in the river after hatchery release. Migration rates were consistently slow for both species in the Klickitat River delta compared to upstream reaches of the free-flowing Klickitat River and downstream reaches of the Columbia River. Similarly, reach-specific survival was highest in free-flowing reaches of the Klickitat River and lowest near the Klickitat River delta. Cumulative survival from release to sites located downstream of the Klickitat River delta were 0.78 for juvenile steelhead in both 2018 and 2019, and 0.57 and 0.61 for juvenile coho salmon in 2018 and 2019. Standardized survival estimates (survival per 100 river kilometers) were 0.243 in 2018 and 0.302 in 2019 for steelhead, and 0.100 in 2018 and 0.153 in 2019 for coho salmon. These estimates of standardized survival are low compared to similar estimates from other rivers in Washington, Oregon, Idaho, and California. This study provided new information about survival and residence time of juvenile steelhead and coho salmon in the Klickitat River. Additional studies would be helpful to understand factors affecting outmigration survival and overlap between hatchery-origin and natural-original juvenile steelhead and coho salmon in the system.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211083","collaboration":"Prepared in cooperation with Yakama Nation Fisheries","usgsCitation":"Evans, S.D., Lindley, D.S., Kock, T.J., Hansen, A.C., Perry, R.W., Zendt, J.S., and Romero, N., 2021, Evaluation of movement and survival of juvenile steelhead (Oncorhynchus mykiss) and coho salmon (Oncorhynchus kisutch) in the Klickitat River, Washington, 2018–2019: U.S. Geological Survey Open-File Report 2021–1083, 20 p., https://doi.org/10.3133/ofr20211083.","productDescription":"vi, 17 p.","onlineOnly":"Y","ipdsId":"IP-126889","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":388572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1083/coverthb.jpg"},{"id":388573,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1083/ofr20211083.pdf","text":"Report","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1083"}],"country":"United States","state":"Washington","otherGeospatial":"Klickitat River, Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.70654296874999,\n              45.583289756006316\n            ],\n            [\n              -120.69580078124999,\n              45.583289756006316\n            ],\n            [\n              -120.71777343749997,\n              45.98169518512228\n            ],\n            [\n              -121.75048828124997,\n              45.96642454131025\n            ],\n            [\n              -121.70654296874999,\n              45.583289756006316\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li><li>Appendix 1. Travel Time, Survival, and Detection Probability Tables</li></ul>","publishedDate":"2021-08-27","noUsgsAuthors":false,"publicationDate":"2021-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Scott D. 0000-0003-0452-7726 sdevans@usgs.gov","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":4408,"corporation":false,"usgs":true,"family":"Evans","given":"Scott","email":"sdevans@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindley, David S.","contributorId":264839,"corporation":false,"usgs":false,"family":"Lindley","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":16959,"text":"Yakama Nation Fisheries Program, Klickitat Field Office, 1575 Horseshoe Bend Road, Klickitat, WA  98628","active":true,"usgs":false}],"preferred":false,"id":822075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zendt, Joseph S","contributorId":147934,"corporation":false,"usgs":false,"family":"Zendt","given":"Joseph S","affiliations":[{"id":16959,"text":"Yakama Nation Fisheries Program, Klickitat Field Office, 1575 Horseshoe Bend Road, Klickitat, WA  98628","active":true,"usgs":false}],"preferred":false,"id":822079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Romero, Nicolas","contributorId":73561,"corporation":false,"usgs":true,"family":"Romero","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":822080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70223457,"text":"ofr20181094 - 2021 - Development of demographic models to analyze populations with multi-year data—Using Agassiz’s Desert Tortoise (Gopherus agassizii) as a case study","interactions":[],"lastModifiedDate":"2021-08-30T11:40:21.500348","indexId":"ofr20181094","displayToPublicDate":"2021-08-27T08:20:51","publicationYear":"2021","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":"2018-1094","displayTitle":"Development of Demographic Models to Analyze Populations with Multi-Year Data—Using Agassiz’s Desert Tortoise (<i>Gopherus agassizii</i>) as a Case Study","title":"Development of demographic models to analyze populations with multi-year data—Using Agassiz’s Desert Tortoise (Gopherus agassizii) as a case study","docAbstract":"<p>We developed a model for analyzing multi-year demographic data for long-lived animals and used data from a population of Agassiz’s desert tortoise (<i>Gopherus agassizii</i>) at the Desert Tortoise Research Natural Area in the western Mojave Desert of California as a case study. The study area was 7.77 square kilometers and included two locations: inside and outside the fenced boundary. The wildlife-permeable, protective fence was designed to prevent entry from vehicle users and sheep grazing. We collected mark-recapture data from 1,123 tortoises during seven annual surveys consisting of two censuses each over a 34-year period. Additional data were collected when marked tortoises were recovered dead and removed between survey years. We used a Bayesian modeling framework to develop a multistate Jolly-Seber model because of its ability to handle unobserved (latent) states and modified this model to incorporate the additional data from non-survey years. Three size-age states (juvenile, immature, adult), sex (female, male), two location states (inside and outside the fenced boundary), and three survival states (not-yet-entered, entered/alive, and dead/removed) were incorporated into the model. We calculated population densities and estimated probabilities of growth of the tortoises from one size-age state to a larger size-age state, survival after 1 year and 5 years, and detection. Our results show a declining population with low estimates for survival after 1 year and 5 years. The probability for tortoises to move from outside to inside the boundary fence was greater than for tortoises to move from inside the fence to outside. The probability for detecting tortoises differed by size-age state and was lowest for the smallest tortoises and highest for the adult tortoises. The framework for the model can be used to analyze other animal populations where vital rates are expected to vary depending on multiple individual states.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181094","usgsCitation":"Berry, K.H., and Yee, J.L., 2021, Development of demographic models to analyze populations with multi-year data—Using Agassiz’s Desert Tortoise (Gopherus agassizii) as a case study: U.S. Geological Survey Open-File Report 2018–1094, 55 p., https://doi.org/10.3133/ofr20181094.","productDescription":"vi, 55 p.","numberOfPages":"55","onlineOnly":"Y","ipdsId":"IP-086643","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":388564,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2018/1094/images"},{"id":388563,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2018/1094/ofr20181094.xml"},{"id":388562,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1094/ofr20181094.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":388561,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1094/covrthb.jpg"}],"contact":"<p>Director,<br><a href=\"https://www.usgs.gov/%20centers/%20werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/ centers/ werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Results&nbsp;&nbsp;</li><li>Discussion&nbsp;&nbsp;</li><li>Potential Future Developments of the Models&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1&nbsp;</li><li>Appendix 2&nbsp;</li><li>Appendix 3</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-08-27","noUsgsAuthors":false,"publicationDate":"2021-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":822069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":822070,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70224524,"text":"70224524 - 2021 - An efficient Bayesian framework for updating PAGER loss estimates","interactions":[],"lastModifiedDate":"2021-09-27T11:01:08.524796","indexId":"70224524","displayToPublicDate":"2021-08-27T08:03:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7565,"text":"Earthquake Spectra Journal","active":true,"publicationSubtype":{"id":10}},"title":"An efficient Bayesian framework for updating PAGER loss estimates","docAbstract":"<p><span>We introduce a Bayesian framework for incorporating time-varying noisy reported data on damage and loss information to update near real-time loss estimates/alerts for the U.S. Geological Survey’s Prompt Assessment of Global Earthquakes for Response (PAGER) system. Initial loss estimation by PAGER immediately following an earthquake includes several uncertainties. Historically, the PAGER’s alerting on fatality and economic losses has not incorporated location-specific reported data on physical damage or casualties for a given earthquake. The proposed framework provides the ability to include early reports on fatalities at any given time and improve the overall impact forecast for the earthquake. The reported data on fatalities or damage are generally incomplete and noisy, especially in the early hours of the disaster. To address these challenges, we develop a recursive Bayesian updating framework that takes into account the loss projection model and the measurement and model uncertainties. The framework is applied to loss data for three example earthquakes, and the results show that the proposed updating improves the loss estimates and alert level to the correct level within the first day of the earthquake.</span></p>","language":"English","publisher":"Sage Journals","doi":"10.1177/8755293020944177","usgsCitation":"Noh, H.Y., Jaiswal, K.S., Engler, D.T., and Wald, D.J., 2021, An efficient Bayesian framework for updating PAGER loss estimates: Earthquake Spectra Journal, v. 36, no. 4, p. 1719-1742, https://doi.org/10.1177/8755293020944177.","productDescription":"24 p.","startPage":"1719","endPage":"1742","ipdsId":"IP-118585","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":389706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Noh, Hae Young","contributorId":265961,"corporation":false,"usgs":false,"family":"Noh","given":"Hae","email":"","middleInitial":"Young","affiliations":[{"id":54844,"text":"Carnegie Mellon University (now at Stanford University)","active":true,"usgs":false}],"preferred":false,"id":823863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engler, Davis T. 0000-0002-7133-3545","orcid":"https://orcid.org/0000-0002-7133-3545","contributorId":265962,"corporation":false,"usgs":true,"family":"Engler","given":"Davis","email":"","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224924,"text":"70224924 - 2021 - Flooding duration and volume more important than peak discharge in explaining 18 years of gravel–cobble river change","interactions":[],"lastModifiedDate":"2022-01-06T17:24:33.238441","indexId":"70224924","displayToPublicDate":"2021-08-27T07:22:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Flooding duration and volume more important than peak discharge in explaining 18 years of gravel–cobble river change","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Floods play a critical role in geomorphic change, but whether peak magnitude, duration, volume, or frequency determines the resulting magnitude of erosion and deposition is a question often proposed in geomorphic effectiveness studies. This study investigated that question using digital elevation model differencing to compare and contrast three hydrologically distinct epochs of topographic change spanning 18 years in the 37-km gravel–cobble lower Yuba River in northern California, USA. Scour and fill were analysed by volume at segment and geomorphic reach scales. Each epoch's hydrology was characterized using 15-min and daily averaged flow to obtain distinct peak and recurrence, duration, and volume metrics. Epochs 1 (1999–2008) and 3 (2014–2017) were wetter than average with large floods reaching 3206 and 2466 m<sup>3</sup>/s, respectively, though of different flood durations. Epoch 2 (2008–2014) was a drought period with only four brief moderate floods (peak of 1245 m<sup>3</sup>/s). Total volumetric changes showed that major geomorphic response occurred primarily during large flood events; however, total scour and net export of sediment varied greatly, with 20 times more export in epoch 3 compared to epoch 1. The key finding was that greater peak discharge was not correlated with greater net and total erosion; differences were better explained by duration and volume above floodway-filling stage. This finding highlights the importance of considering flood duration and volume, along with peak, to assess flood magnitude in the context of flood management, frequency analysis, and resulting geomorphic changes.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5230","usgsCitation":"Gervasi, A., Pasternack, G., and East, A.E., 2021, Flooding duration and volume more important than peak discharge in explaining 18 years of gravel–cobble river change: Earth Surface Processes and Landforms, v. 46, no. 15, p. 3194-3212, https://doi.org/10.1002/esp.5230.","productDescription":"9 p.","startPage":"3194","endPage":"3212","ipdsId":"IP-129882","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":390233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"lower Yuba River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.695556640625,\n              38.78406349514289\n            ],\n            [\n              -120.17944335937499,\n              38.78406349514289\n            ],\n            [\n              -120.17944335937499,\n              39.6606850221923\n            ],\n            [\n              -121.695556640625,\n              39.6606850221923\n            ],\n            [\n              -121.695556640625,\n              38.78406349514289\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"15","noUsgsAuthors":false,"publicationDate":"2021-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gervasi, Arielle","contributorId":267178,"corporation":false,"usgs":false,"family":"Gervasi","given":"Arielle","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":824622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pasternack, Gregory","contributorId":267179,"corporation":false,"usgs":false,"family":"Pasternack","given":"Gregory","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":824623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":824624,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70223456,"text":"fs20213047 - 2021 - Michigan and Landsat","interactions":[],"lastModifiedDate":"2023-01-24T11:48:11.924537","indexId":"fs20213047","displayToPublicDate":"2021-08-26T14:49:39","publicationYear":"2021","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":"2021-3047","displayTitle":"Michigan and Landsat","title":"Michigan and Landsat","docAbstract":"<p>Water means a lot to Michigan, often called the Great Lakes State. The name “Michigan” comes from an Ojibwe word meaning large, or great, water or lake. As the only State touching four of the five Great Lakes—Michigan, Superior, Huron, and Erie—it claims the longest freshwater coastline in the United States.</p><p>Yet Michigan is not just about water—forests, agriculture, mines, cities, and even sand dunes stretch across the State’s landscape. Much of what happens on the land does connect in some way with Michigan’s inland and coastal waters. Michigan relies on a healthy environment to support its residents, abundant tourists, and diverse species of wildlife that call the State and its surrounding waters home. From hundreds of miles above, Landsat satellites provide a clearer picture of the connections among land, water, and the people and wildlife that inhabit the State.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213047","usgsCitation":"U.S. Geological Survey, 2021, Michigan and Landsat (ver. 1.1, January 2023): U.S. Geological Survey Fact Sheet 2021–3047, 2 p., https://doi.org/10.3133/fs20213047.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-126134","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":412223,"rank":6,"type":{"id":39,"text":"HTML 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href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Helping Control an Invasive Species</li><li>Showing Coastal Land Cover Changes</li><li>Monitoring Algae Issues</li><li>Informing the Public About a Catastrophe</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-08-26","revisedDate":"2023-01-23","noUsgsAuthors":false,"publicationDate":"2021-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological 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,{"id":70223431,"text":"70223431 - 2021 - Pollinator communities vary with vegetation structure and time since management within regenerating timber harvests of the Central Appalachian Mountains","interactions":[],"lastModifiedDate":"2021-08-27T13:15:05.97235","indexId":"70223431","displayToPublicDate":"2021-08-26T11:08:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Pollinator communities vary with vegetation structure and time since management within regenerating timber harvests of the Central Appalachian Mountains","docAbstract":"Native pollinator populations across the United States are increasingly threatened by a multitude of ecological stressors. Although the drivers behind pollinator population declines are varied, habitat loss/degradation remains one of the most important threats. Forested landscapes, where the impacts of habitat loss/degradation are minimized, are known to support robust pollinator populations in eastern North America. Within heavily forested landscapes, timber management is already implemented as a means for improving forest health and enhancing wildlife habitat, however, little is known regarding the characteristics within regenerating timber harvests that affect forest pollinator populations. In 2018-19, we monitored insect pollinators in 143 regenerating (≤ 9 growing seasons post-harvest) timber harvest sites across Pennsylvania. During 1,129 survey events, we observed over 9,100 bees and butterflies, 220 blooming plant taxa, and collected over 2,200 pollinator specimens. Bee and butterfly abundance were positively associated with season-wide floral abundance and negatively associated with dense vegetation that inhibits the growth of understory floral resources. Particularly in late summer, few pollinators were observed in stands > 6 years post-harvest, with models predicting five times more bees in 1-year-old harvests than in 9-year-old harvests. Pollinator species diversity was positively associated with floral diversity and percent forb cover, and negatively associated with percent tall (>1m) sapling cover. These results suggest that regenerating timber harvests promote abundant and diverse pollinator communities in the Appalachian Mountains, though pollinator abundance declined quickly as woody stems regenerated. Ultimately, our findings contribute to a growing body of literature suggesting that dynamic forest management producing an even mix of age classes would benefit forest pollinator populations in the Central Appalachian Mountains.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2021.119373","usgsCitation":"Mathis, C.L., McNeil, D.J., Lee, M.R., Grozinger, C.M., King, D.I., Otto, C., and Larkin, J., 2021, Pollinator communities vary with vegetation structure and time since management within regenerating timber harvests of the Central Appalachian Mountains: Forest Ecology and Management, v. 495, 119373, 12 p., https://doi.org/10.1016/j.foreco.2021.119373.","productDescription":"119373, 12 p.","onlineOnly":"N","ipdsId":"IP-127927","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":451052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Jr.","contributorId":37620,"corporation":false,"usgs":false,"family":"McNeil","given":"Darin","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":822062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Monica R.","contributorId":264824,"corporation":false,"usgs":false,"family":"Lee","given":"Monica","email":"","middleInitial":"R.","affiliations":[{"id":54565,"text":"Indiana Un of Penns","active":true,"usgs":false}],"preferred":false,"id":822063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grozinger, Christina M.","contributorId":214374,"corporation":false,"usgs":false,"family":"Grozinger","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":822064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, David I.","contributorId":34390,"corporation":false,"usgs":false,"family":"King","given":"David","email":"","middleInitial":"I.","affiliations":[{"id":18918,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA, 01003, USA","active":true,"usgs":false},{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":822065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":822066,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larkin, Jeffery A.","contributorId":210725,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffery A.","affiliations":[{"id":38140,"text":"Department of Biology, Indiana University of Pennsylvania, Indiana, PA 15705, US","active":true,"usgs":false}],"preferred":false,"id":822067,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70223408,"text":"70223408 - 2021 - Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska","interactions":[],"lastModifiedDate":"2021-08-26T15:50:24.140426","indexId":"70223408","displayToPublicDate":"2021-08-26T10:40:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Negligible evidence for detrimental effects of <i>Leucocytozoon</i> infections among Emperor Geese (<i>Anser canagicus</i>) breeding on the Yukon-Kuskokwim Delta, Alaska","title":"Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska","docAbstract":"<p><span>Emperor Geese (</span><i>Anser canagicus</i><span>) are iconic&nbsp;waterfowl&nbsp;endemic to Alaska and adjacent areas of northeastern Russia that are considered to be near threatened by the International Union for Conservation. This species has been identified as harboring diverse viruses and parasites which have, at times, been associated with disease in other avian taxa. To better assess if disease represents a vulnerability for Emperor Geese breeding on the Yukon-Kuskokwim Delta, Alaska, we evaluated if&nbsp;haemosporidian&nbsp;parasites were associated with decreased mass or survival among adult female nesting birds captured during 2006–2016. Through molecular analyses, we detected genetically diverse&nbsp;</span><span><i>Leucocytozoon</i></span><span>,&nbsp;</span><span><i>Haemoproteus</i></span><span>, and&nbsp;</span><i>Plasmodium</i><span>&nbsp;parasites in 28%, 1%, and 1% of 607 blood samples screened in triplicate, respectively. Using regression analysis, we found evidence for a small effect of&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;infection on the mass of incubating adult female Emperor Geese. The estimated mass of infected individuals was approximately 43&nbsp;g (95% CI: 20–67&nbsp;g), or approximately 2%, less than uninfected birds when captured during the second half of incubation (days 11–25). We did not, however, find support for an effect of&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;infection on survival of adult female nesting Emperor Geese using a multi-state hidden Markov framework to analyze mark-resight and recapture data. Using parasite mitochondrial DNA&nbsp;cytochrome&nbsp;</span><i>b</i><span>&nbsp;sequences, we identified 23&nbsp;haplotypes&nbsp;among infected Emperor Geese.&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;haplotypes clustered into three phylogenetically supported clades designated as ‘</span><i>L. simondi</i><span>&nbsp;clade A’, ‘</span><i>L. simondi</i><span>&nbsp;clade B’, and ‘other&nbsp;</span><i>Leucocytozoon</i><span>’. We did not find evidence that parasites assigned to any of these clades were associated with differential mass measures among nesting adult female Emperor Geese. Collectively, our results provide negligible evidence for&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;parasites as causing detrimental effects to adult female Emperor Geese breeding on the Yukon-Kuskokwim Delta.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2021.08.006","usgsCitation":"Ramey, A.M., Bucheit, R., Uher-Koch, B.D., Reed, J., Pacheco, M.A., Escalante, A., and Schmutz, J., 2021, Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska: International Journal for Parasitology: Parasites and Wildlife, v. 16, p. 103-112, https://doi.org/10.1016/j.ijppaw.2021.08.006.","productDescription":"10 p.","startPage":"103","endPage":"112","ipdsId":"IP-130428","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":451055,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2021.08.006","text":"Publisher Index Page"},{"id":436223,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B5JUBW","text":"USGS data release","linkHelpText":"Blood Parasite Infection, Body Mass, and Survival Data from Emperor Geese (Anser canagicus), Yukon-Kuskokwim Delta, Alaska, 2006-2016"},{"id":388545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon-Kuskokwim Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -166.728515625,\n              60.646262316136976\n            ],\n            [\n              -163.23486328125,\n              60.646262316136976\n            ],\n            [\n              -163.23486328125,\n              63.28800124531419\n            ],\n            [\n              -166.728515625,\n              63.28800124531419\n            ],\n            [\n              -166.728515625,\n              60.646262316136976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":821973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bucheit, Raymond","contributorId":264772,"corporation":false,"usgs":false,"family":"Bucheit","given":"Raymond","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":821974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":821975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, John 0000-0002-3239-6906","orcid":"https://orcid.org/0000-0002-3239-6906","contributorId":214852,"corporation":false,"usgs":true,"family":"Reed","given":"John","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":821976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pacheco, M. Andreina","contributorId":264773,"corporation":false,"usgs":false,"family":"Pacheco","given":"M.","email":"","middleInitial":"Andreina","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":821977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Escalante, Ananias","contributorId":264774,"corporation":false,"usgs":false,"family":"Escalante","given":"Ananias","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":821978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmutz, Joel 0000-0002-6516-0836","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":264776,"corporation":false,"usgs":false,"family":"Schmutz","given":"Joel","affiliations":[{"id":54549,"text":"retired from USGS Alaska Science Center","active":true,"usgs":false}],"preferred":false,"id":821979,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228842,"text":"70228842 - 2021 - Insect pathogenic fungi for biocontrol of plague vector fleas: A review","interactions":[],"lastModifiedDate":"2022-02-23T16:36:17.916881","indexId":"70228842","displayToPublicDate":"2021-08-26T10:32:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10126,"text":"Journal of Integrated Pest Management","active":true,"publicationSubtype":{"id":10}},"title":"Insect pathogenic fungi for biocontrol of plague vector fleas: A review","docAbstract":"<p class=\"chapter-para\">Bubonic plague is a lethal bacterial disease of great historical importance. The plague organism,<span>&nbsp;</span><i>Yersinia pestis</i>, is primarily transmitted by fleas (Siphonaptera). In natural settings, where its range expands,<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>resides in association with wild rodents and their fleas (sylvatic plague). While chemical insecticides are used against plague vector fleas, biological approaches have not been as critically evaluated. Benign and cost-effective control methods are sorely needed, particularly where imperiled species are at risk. Here we explore the potential of two representative insect pathogenic fungi,<span>&nbsp;</span><i>Beauveria bassiana</i><span>&nbsp;</span>Vuillemin 1912 (Hypocreales: Cordycipitaceae) and<span>&nbsp;</span><i>Metarhizium anisopliae</i><span>&nbsp;</span>Metschnikoff 1879 (Hypocreales: Clavicipitaceae), each already used commercially worldwide in large-scale agricultural applications, as candidate biopesticides for application against fleas. We review the life cycles, flea virulence, commercial production, and field application of these fungi, and ecological and safety considerations. Pathogenic fungi infections among natural flea populations suggest that conditions within at least some rodent burrows are favorable, and laboratory studies demonstrate lethality of these fungi to at least some representative flea species. Continued study and advancements with these fungi, under appropriate safety measures, may allow for effective biocontrol of plague vector fleas to protect imperiled species, decrease plague outbreaks in key rodent species, and limit plague in humans.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jipm/pmab028","usgsCitation":"Eads, D.A., Jaronski, S., Biggins, D.E., and Wimsatt, J., 2021, Insect pathogenic fungi for biocontrol of plague vector fleas: A review: Journal of Integrated Pest Management, v. 12, no. 1, p. 1-10, https://doi.org/10.1093/jipm/pmab028.","productDescription":"30, 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-127322","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jipm/pmab028","text":"Publisher Index Page"},{"id":396355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":835684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaronski, Stefan 0000-0002-7789-0406","orcid":"https://orcid.org/0000-0002-7789-0406","contributorId":279882,"corporation":false,"usgs":false,"family":"Jaronski","given":"Stefan","email":"","affiliations":[{"id":37295,"text":"USDA APHIS","active":true,"usgs":false}],"preferred":false,"id":835685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":835686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wimsatt, Jeffrey","contributorId":173421,"corporation":false,"usgs":false,"family":"Wimsatt","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":835687,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223403,"text":"sir20215090 - 2021 - Estimates of water use associated with continuous oil and gas development in the Permian Basin, Texas and New Mexico, 2010–19","interactions":[],"lastModifiedDate":"2021-12-14T12:26:17.570498","indexId":"sir20215090","displayToPublicDate":"2021-08-26T10:24:57","publicationYear":"2021","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":"2021-5090","displayTitle":"Estimates of Water Use Associated with Continuous Oil and Gas Development in the Permian Basin, Texas and New Mexico, 2010–19","title":"Estimates of water use associated with continuous oil and gas development in the Permian Basin, Texas and New Mexico, 2010–19","docAbstract":"<p>In 2015, the U.S. Geological Survey started a topical study to quantify water use in areas of continuous oil and gas (COG) development. The first phase of the study was completed in 2019 and analyzed the Williston Basin. The second phase of the study analyzed the Permian Basin using the same techniques and approaches used for the Williston Basin analysis. The Permian Basin was selected for the second phase of water-use analysis for the following reasons: (1) the basin has the largest undiscovered technically recoverable oil and gas resource in the United States, (2) the basin has a continuous resource in tight shale that primarily produces oil, and (3) the basin is within the contiguous United States. This study used data from 60 counties in Texas and New Mexico with spatial coverage based on the Permian Basin extent defined by the U.S. Energy Information Administration, a representation of the geologically defined Permian Basin.</p><p>Data from several sources were used in the analysis of direct, indirect, and ancillary water use associated with COG development in the Permian Basin and are available in an associated data release. Hydraulic fracturing water-use data were used to determine the start of the recent (before 2019) COG development boom in oil production in the Permian Basin in the same way that the data were used for the Williston Basin study. Water-use data were aggregated by county and year, which were the sampling units used in the analysis.</p><p>The water-use analysis of the Permian Basin contained three elements: (1) estimates of water use, in million gallons, by county and year; (2) coefficients of water use from regression models, in million gallons per developed oil and gas well; and (3) performance (based on goodness-of-fit metrics) of the regression models in estimating the observed water use.</p><p>Coefficients from the linear and quantile regression models of direct, indirect, and ancillary water use in the Permian Basin were produced as aggregate values for the counties and years. The mean estimate of direct water use had a 95-percent confidence interval of 4.13–5.45 million gallons (Mgal) per developed oil and gas well. The coefficient from the linear regression model of indirect water use was 0.111 Mgal per well, with a 95-percent confidence interval of 0.104–0.117 Mgal per well. The mean estimate of ancillary water use in the Permian Basin was 1.09 Mgal per well, with a 95-percent confidence interval of 1.05–1.13 Mgal per well. Model performance was evaluated with goodness-of-fit metrics including coefficient of determination (<i>R</i><sup>2</sup>), root mean square error, and the ratio of root mean square error to standard deviation of observations computed from leave-one-out cross validation of the linear and quantile regression models of direct, indirect, and ancillary water use. Model performance for direct water use was acceptable, with an <i>R</i><sup>2</sup> value of 0.91. The model performance of indirect water use was acceptable, with an <i>R</i><sup>2</sup> value of 0.89. Values of <i>R</i><sup>2</sup> for the ancillary water-use categories were at least 0.89.</p><p>Annual mean estimates for hydraulic fracturing, cementing, drilling, indirect, and ancillary water use per well for the years 2010–17 were comparable between the Permian and Williston Basins. Hydraulic fracturing water use increased similarly from 2010 to 2015 in the Permian Basin and the Williston Basin, increasing from 0.6 Mgal per well in 2010 to 5.4 Mgal per well in 2015 in the Permian Basin and from 1.4 Mgal per well in 2010 to 4.7 Mgal per well in 2015 in the Williston Basin.</p><p>By design, the Permian water-use assessment is a simplification of a complex and continually developing system and therefore has uncertainty and limitations in the interpretation of results. Despite the modeling limitations, the results summarized in the report, when compared to other studies, compare well with water-use estimations. The favorable comparison highlights the transferability of the water-use methodology to other areas of COG development.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215090","programNote":"Water Availability and Use Science Program","usgsCitation":"Valder, J.F., McShane, R.R., Thamke, J.N., McDowell, J.S., Ball, G.P., Houston, N.A., and Galanter, A.E., 2021, Estimates of water use associated with continuous oil and gas development in the Permian Basin, Texas and New Mexico, 2010–19: U.S. Geological Survey Scientific Investigations Report 2021–5090, 27 p., https://doi.org/10.3133/sir20215090.","productDescription":"Report: vii, 27 p.; Data Releases: 3; Dataset","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-126972","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water 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continuous oil and gas development, Permian Basin, United States, 1980–2019"},{"id":391022,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/fs20213053","text":"FS 2021–3053","size":"4.37 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021–3053","linkHelpText":"— Estimates of Water Use Associated with Continuous Oil and Gas Development in the Permian Basin, Texas and New Mexico, 2010–19, with Comparisons to the Williston Basin, North Dakota and Montana"},{"id":388523,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the 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Basin</li><li>Limitations of Water-Use Analysis of the Permian Basin</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-08-26","noUsgsAuthors":false,"publicationDate":"2021-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Valder, Joshua F. 0000-0003-3733-8868","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":220912,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McShane, Ryan R. 0000-0002-3128-0039 rmcshane@usgs.gov","orcid":"https://orcid.org/0000-0002-3128-0039","contributorId":195581,"corporation":false,"usgs":true,"family":"McShane","given":"Ryan","email":"rmcshane@usgs.gov","middleInitial":"R.","affiliations":[{"id":5050,"text":"WY-MT Water Science 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,{"id":70223402,"text":"fs20213045 - 2021 - Hydrologic conditions in Kansas, water year 2020","interactions":[],"lastModifiedDate":"2021-08-30T12:00:28.9731","indexId":"fs20213045","displayToPublicDate":"2021-08-26T09:02:09","publicationYear":"2021","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":"2021-3045","displayTitle":"Hydrologic Conditions in Kansas, Water Year 2020","title":"Hydrologic conditions in Kansas, water year 2020","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Federal, State, and local agencies, maintains a long-term network of hydrologic monitoring stations in Kansas. 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 \"}}]}","contact":"<p><a data-mce-href=\"mailto:%20dc_ks@usgs.gov\" href=\"mailto:%20dc_ks@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/kswsc\" href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p>","tableOfContents":"<ul><li>Preceding Conditions and Precipitation</li><li>Drainage Basin Runoff and Streamflow Conditions</li><li>Reservoirs</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-08-26","noUsgsAuthors":false,"publicationDate":"2021-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Chantelle 0000-0001-6415-7320","orcid":"https://orcid.org/0000-0001-6415-7320","contributorId":225019,"corporation":false,"usgs":true,"family":"Davis","given":"Chantelle","email":"","affiliations":[{"id":353,"text":"Kansas Water Science 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,{"id":70224579,"text":"70224579 - 2021 - Marine distribution and foraging habitat highlight potential threats at sea for Endangered Bermuda Petrel Pterodroma cahow","interactions":[],"lastModifiedDate":"2021-09-29T13:45:54.460103","indexId":"70224579","displayToPublicDate":"2021-08-26T08:45:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Marine distribution and foraging habitat highlight potential threats at sea for Endangered Bermuda Petrel <i>Pterodroma cahow</i>","title":"Marine distribution and foraging habitat highlight potential threats at sea for Endangered Bermuda Petrel Pterodroma cahow","docAbstract":"<p><span>Marine spatial planning relies on detailed spatial information of marine areas to ensure effective conservation of species. To enhance our understanding of marine habitat use by the highly pelagic Bermuda petrel&nbsp;</span><i>Pterodroma cahow</i><span>, we deployed GPS tags on 6 chick-rearing adults in April 2019 and constructed a habitat suitability model using locations classified as foraging to explore functional responses to a selection of marine environmental variables. We defined 15 trips for 5 individuals, ranging from 1-6 trips per bird, that included both short and long foraging excursions indicative of a dual foraging strategy that optimizes chick feeding and self maintenance. The maximum distance birds flew from Bermuda during foraging trips ranged from 61 to 2513 km (total trip lengths: 186-14051 km). Behaviourally deduced foraging habitat was best predicted at shorter distances from the colony, under warmer sea surface temperature, greater sea surface height, and in deeper water compared to transiting locations; our model results indicated that suitable foraging habitat exists beyond the core home range of the population, as far north as the highly productive Gulf Stream frontal system, and within the territorial waters of both the USA and Canada. Our results are crucial to inform management decisions and international conservation efforts by better identifying potential threats encountered at sea by this globally rare seabird and highlighting jurisdictions potentially responsible for mitigating those threats.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01139","usgsCitation":"Raine, A., Gjerdrum, C., Pratte, I., Madeiros, J., Felis, J.J., and Adams, J., 2021, Marine distribution and foraging habitat highlight potential threats at sea for Endangered Bermuda Petrel Pterodroma cahow: Endangered Species Research, v. 45, p. 337-356, https://doi.org/10.3354/esr01139.","productDescription":"20 p.","startPage":"337","endPage":"356","ipdsId":"IP-124810","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":451059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01139","text":"Publisher Index Page"},{"id":389951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bermuda, Canada, United States","otherGeospatial":"Nonsuch Island, Horn Rock","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -63.54492187500001,\n              31.39115752282472\n            ],\n            [\n              -49.7021484375,\n              43.77109381775651\n            ],\n            [\n              -46.8896484375,\n              48.86471476180277\n            ],\n            [\n              -55.06347656249999,\n              45.182036837015886\n            ],\n            [\n              -61.962890625,\n              43.004647127794435\n            ],\n            [\n              -69.345703125,\n              40.613952441166596\n            ],\n            [\n              -72.99316406249999,\n              38.34165619279595\n            ],\n            [\n              -72.99316406249999,\n              34.34343606848294\n            ],\n            [\n              -66.4013671875,\n              30.90222470517144\n            ],\n            [\n              -63.54492187500001,\n              31.39115752282472\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Raine, André F","contributorId":266026,"corporation":false,"usgs":false,"family":"Raine","given":"André F","affiliations":[{"id":54862,"text":"Archipelago Research and Conservation, Kauai, Hawai’i 96716, USA","active":true,"usgs":false}],"preferred":false,"id":824149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gjerdrum, Carina","contributorId":266027,"corporation":false,"usgs":false,"family":"Gjerdrum","given":"Carina","email":"","affiliations":[{"id":54863,"text":"Canadian Wildlife Service, Dartmouth, Nova Scotia B2Y 2N6, Canada","active":true,"usgs":false}],"preferred":false,"id":824150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratte, Isabeau","contributorId":266028,"corporation":false,"usgs":false,"family":"Pratte","given":"Isabeau","email":"","affiliations":[{"id":54863,"text":"Canadian Wildlife Service, Dartmouth, Nova Scotia B2Y 2N6, Canada","active":true,"usgs":false}],"preferred":false,"id":824151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madeiros, Jeremy","contributorId":196171,"corporation":false,"usgs":false,"family":"Madeiros","given":"Jeremy","email":"","affiliations":[],"preferred":false,"id":824152,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":824153,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824154,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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