{"pageNumber":"431","pageRowStart":"10750","pageSize":"25","recordCount":184582,"records":[{"id":70232999,"text":"70232999 - 2022 - Diagenesis of Vera Rubin ridge, Gale crater, Mars from Mastcam multispectral images","interactions":[],"lastModifiedDate":"2022-07-15T14:02:52.557747","indexId":"70232999","displayToPublicDate":"2020-11-01T08:44:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Diagenesis of Vera Rubin ridge, Gale crater, Mars from Mastcam multispectral images","docAbstract":"<p>Images from the Mars Science Laboratory (MSL) mission of lacustrine sedimentary rocks of Vera Rubin ridge on “Mt. Sharp” in Gale crater, Mars, have shown stark color variations from red to purple to gray. These color differences crosscut stratigraphy and are likely due to diagenetic alteration of the sediments after deposition. However, the chemistry and timing of these fluid interactions is unclear. Determining how diagenetic processes may have modified chemical and mineralogical signatures of ancient Martian environments is critical for understanding the past habitability of Mars and achieving the goals of the MSL mission. Here we use visible/near-infrared spectra from Mastcam and ChemCam to determine the mineralogical origins of color variations in the ridge. Color variations are consistent with changes in spectral properties related to the crystallinity, grain size, and texture of hematite. Coarse-grained gray hematite spectrally dominates in the gray patches and is present in the purple areas, while nanophase and fine-grained red crystalline hematite are present and spectrally dominate in the red and purple areas. We hypothesize that these differences were caused by grain-size coarsening of hematite by diagenetic fluids, as observed in terrestrial analogs. In this model, early primary reddening by oxidizing fluids near the surface was followed during or after burial by bleaching to form the gray patches, possibly with limited secondary reddening after exhumation. Diagenetic alteration may have diminished the preservation of biosignatures and changed the composition of the sediments, making it more difficult to interpret how conditions evolved in the paleolake over time.</p>","language":"English","publisher":"AGU","doi":"10.1029/2019JE006322","usgsCitation":"Horgan, B.H., Johnson, J., Fraeman, A.A., Rice, M., Seeger, C., Bell, J., Bennett, K.A., Cloutis, E., Edgar, L.A., Frydenvang, J., Grotzinger, J.P., L’Haridon, J., Jacob, S., Mangold, N., Rampe, E.B., Rivera-Hernandez, F., Sun, V.Z., Thompson, L., and Wellington, D., 2022, Diagenesis of Vera Rubin ridge, Gale crater, Mars from Mastcam multispectral images: JGR Planets, v. 125, no. 11, e2019JE006322, 33 p., https://doi.org/10.1029/2019JE006322.","productDescription":"e2019JE006322, 33 p.","ipdsId":"IP-122293","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":449866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019je006322","text":"Publisher Index Page"},{"id":403787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale crater, Mars, Mt. Sharp, Vera Rubin ridge","volume":"125","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Horgan, Briony H. N. 0000-0001-6314-9724","orcid":"https://orcid.org/0000-0001-6314-9724","contributorId":258276,"corporation":false,"usgs":false,"family":"Horgan","given":"Briony","email":"","middleInitial":"H. N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":846638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Jeffrey R.","contributorId":71688,"corporation":false,"usgs":true,"family":"Johnson","given":"Jeffrey R.","affiliations":[],"preferred":false,"id":846639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraeman, Abigail A.","contributorId":200404,"corporation":false,"usgs":false,"family":"Fraeman","given":"Abigail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":846640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Melissa","contributorId":172306,"corporation":false,"usgs":false,"family":"Rice","given":"Melissa","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":846641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seeger, Christina","contributorId":293198,"corporation":false,"usgs":false,"family":"Seeger","given":"Christina","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":846642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, James F.","contributorId":174126,"corporation":false,"usgs":false,"family":"Bell","given":"James F.","affiliations":[{"id":27362,"text":"ASU SESE","active":true,"usgs":false}],"preferred":false,"id":846643,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":846644,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cloutis, Edward A.","contributorId":147771,"corporation":false,"usgs":false,"family":"Cloutis","given":"Edward A.","affiliations":[{"id":16930,"text":"University of Winnipeg","active":true,"usgs":false}],"preferred":false,"id":846645,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":846649,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Frydenvang, Jens","contributorId":173225,"corporation":false,"usgs":false,"family":"Frydenvang","given":"Jens","email":"","affiliations":[{"id":27196,"text":"LANL","active":true,"usgs":false}],"preferred":false,"id":846646,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grotzinger, John P.","contributorId":181502,"corporation":false,"usgs":false,"family":"Grotzinger","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":846650,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"L’Haridon, Jonas","contributorId":229498,"corporation":false,"usgs":false,"family":"L’Haridon","given":"Jonas","email":"","affiliations":[{"id":41660,"text":"Université de Nantes","active":true,"usgs":false}],"preferred":false,"id":846647,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jacob, Samantha","contributorId":293199,"corporation":false,"usgs":false,"family":"Jacob","given":"Samantha","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":846651,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mangold, Nicolas","contributorId":52903,"corporation":false,"usgs":false,"family":"Mangold","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":846648,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rampe, Elizabeth B.","contributorId":229501,"corporation":false,"usgs":false,"family":"Rampe","given":"Elizabeth","email":"","middleInitial":"B.","affiliations":[{"id":27209,"text":"NASA Johnson Space Center","active":true,"usgs":false}],"preferred":false,"id":846656,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rivera-Hernandez, Frances","contributorId":270378,"corporation":false,"usgs":false,"family":"Rivera-Hernandez","given":"Frances","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":846652,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sun, Vivian Z. 0000-0003-1480-7369","orcid":"https://orcid.org/0000-0003-1480-7369","contributorId":237064,"corporation":false,"usgs":false,"family":"Sun","given":"Vivian","email":"","middleInitial":"Z.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":846653,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Thompson, Lucy","contributorId":200401,"corporation":false,"usgs":false,"family":"Thompson","given":"Lucy","affiliations":[],"preferred":false,"id":846654,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wellington, Danika F. 0000-0002-2130-0075","orcid":"https://orcid.org/0000-0002-2130-0075","contributorId":237074,"corporation":false,"usgs":false,"family":"Wellington","given":"Danika F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":846655,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70229974,"text":"70229974 - 2022 - Condition of resident fish communities in the Eighteenmile Creek Area of Concern, New York","interactions":[],"lastModifiedDate":"2022-03-22T14:18:22.544128","indexId":"70229974","displayToPublicDate":"2020-10-24T09:12:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Condition of resident fish communities in the Eighteenmile Creek Area of Concern, New York","docAbstract":"<p><span>The lower 3.5&nbsp;km of Eighteenmile Creek, a tributary to Lake Ontario in New York, was designated as an Area of Concern (AOC) in 1985 under the Great Lakes Water Quality Agreement due to extensive contamination of bed sediments by polychlorinated biphenyls (PCBs) and other toxicants. Five beneficial use impairments (BUIs) have been identified in this AOC, including degraded fish and wildlife populations. We surveyed fish communities in the Eighteenmile Creek AOC and in a comparable section of a nearby reference stream (Oak Orchard Creek) during June 2019 to infer whether legacy contaminants are currently impairing fish communities in the AOC to an extent that they differ from the regional reference condition. Estimates of community abundance, biomass, diversity, and fish condition from each system were compared using a noninferiority testing framework. Biomass, diversity, and fish condition in the Eighteenmile Creek AOC were similar or superior to that in Oak Orchard Creek, while abundance was 20% lower in the AOC. These findings and those of a 2007 sampling effort suggest that fish communities in the Eighteenmile Creek AOC are not impaired despite recent studies indicating that PCBs are bioaccumulating in fish tissues at 1–2 orders of magnitude above background levels. Future assessments in the Eighteenmile Creek AOC might focus on the condition of benthic&nbsp;</span>macroinvertebrate<span>&nbsp;communities and potential toxicity of local contaminants to piscivorous wildlife in order to fully address the remaining aspects of the fish and wildlife populations beneficial use impairment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.10.003","usgsCitation":"George, S.D., Baldigo, B., Collins, S.F., Clarke, D., and Winterhalter, D., 2022, Condition of resident fish communities in the Eighteenmile Creek Area of Concern, New York: Journal of Great Lakes Research, v. 48, no. 2, p. 404-411, https://doi.org/10.1016/j.jglr.2020.10.003.","productDescription":"4 p.","startPage":"404","endPage":"411","ipdsId":"IP-114543","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":449869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.10.003","text":"Publisher Index Page"},{"id":397394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Eighteenmile Creek Area of Concern, Oak Orchard Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.75961303710938,\n              43.26120612479979\n            ],\n            [\n              -78.6785888671875,\n              43.26120612479979\n            ],\n            [\n              -78.6785888671875,\n              43.36612409315009\n            ],\n            [\n              -78.75961303710938,\n              43.36612409315009\n            ],\n            [\n              -78.75961303710938,\n              43.26120612479979\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.24359893798828,\n              43.326925957023846\n            ],\n            [\n              -78.17493438720703,\n              43.326925957023846\n            ],\n            [\n              -78.17493438720703,\n              43.37460952707158\n            ],\n            [\n              -78.24359893798828,\n              43.37460952707158\n            ],\n            [\n              -78.24359893798828,\n              43.326925957023846\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Scott F.","contributorId":172292,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":838544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarke, David","contributorId":289100,"corporation":false,"usgs":false,"family":"Clarke","given":"David","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":838545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winterhalter, Dylan R. 0000-0003-1774-8034","orcid":"https://orcid.org/0000-0003-1774-8034","contributorId":251765,"corporation":false,"usgs":true,"family":"Winterhalter","given":"Dylan R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229117,"text":"70229117 - 2022 - Novel circoviruses detected in feces of Sonoran felids","interactions":[],"lastModifiedDate":"2022-03-02T12:10:44.33026","indexId":"70229117","displayToPublicDate":"2020-09-30T18:38:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Novel circoviruses detected in feces of Sonoran felids","docAbstract":"<p><span>Sonoran felids are threatened by drought and habitat fragmentation. Vector range expansion and anthropogenic factors such as habitat encroachment and climate change are altering viral evolutionary dynamics and exposure. However, little is known about the diversity of viruses present in these populations. Small felid populations with lower genetic diversity are likely to be most threatened with extinction by emerging diseases, as with other selective pressures, due to having less adaptive potential. We used a metagenomic approach to identify novel circoviruses, which may have a negative impact on the population viability, from confirmed bobcat (</span><span class=\"html-italic\">Lynx rufus</span><span>) and puma (</span><span class=\"html-italic\">Puma concolor</span><span>) scats collected in Sonora, Mexico. Given some circoviruses are known to cause disease in their hosts, such as porcine and avian circoviruses, we took a non-invasive approach using scat to identify circoviruses in free-roaming bobcats and puma. Three circovirus genomes were determined, and, based on the current species demarcation, they represent two novel species. Phylogenetic analyses reveal that one circovirus species is more closely related to rodent associated circoviruses and the other to bat associated circoviruses, sharing highest genome-wide pairwise identity of approximately 70% and 63%, respectively. At this time, it is unknown whether these scat-derived circoviruses infect felids, their prey, or another organism that might have had contact with the scat in the environment. Further studies should be conducted to elucidate the host of these viruses and assess health impacts in felids</span></p>","language":"English","publisher":"Elsevier","doi":"10.3390/v12091027","usgsCitation":"Payne, N., Kraberger, S., Fontenele, R., Schmidlin, K., Bergeman, M.H., Cassaigne, I., Culver, M., Varsani, A., and Van Doorslaer, K., 2022, Novel circoviruses detected in feces of Sonoran felids: Viruses, v. 12, no. 9, 1027. 9 p., https://doi.org/10.3390/v12091027.","productDescription":"1027. 9 p.","ipdsId":"IP-122664","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449871,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v12091027","text":"Publisher Index Page"},{"id":396618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.23583984374999,\n              31.11879439598953\n            ],\n            [\n              -112.60986328125,\n              31.11879439598953\n            ],\n            [\n              -112.60986328125,\n              32.24997445586331\n            ],\n            [\n              -114.23583984374999,\n              32.24997445586331\n            ],\n            [\n              -114.23583984374999,\n              31.11879439598953\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Payne, Natalie","contributorId":287191,"corporation":false,"usgs":false,"family":"Payne","given":"Natalie","email":"","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":836553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraberger, Simona","contributorId":287192,"corporation":false,"usgs":false,"family":"Kraberger","given":"Simona","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":836554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fontenele, Rafaela S.","contributorId":287193,"corporation":false,"usgs":false,"family":"Fontenele","given":"Rafaela S.","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":836555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidlin, Kara","contributorId":287194,"corporation":false,"usgs":false,"family":"Schmidlin","given":"Kara","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":836556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergeman, Melissa H.","contributorId":287195,"corporation":false,"usgs":false,"family":"Bergeman","given":"Melissa","email":"","middleInitial":"H.","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":836557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cassaigne, Ivonne","contributorId":287196,"corporation":false,"usgs":false,"family":"Cassaigne","given":"Ivonne","affiliations":[{"id":61499,"text":"pc","active":true,"usgs":false}],"preferred":false,"id":836558,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":836552,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Varsani, Arvind","contributorId":287197,"corporation":false,"usgs":false,"family":"Varsani","given":"Arvind","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":836559,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van Doorslaer, Koenraad","contributorId":287199,"corporation":false,"usgs":false,"family":"Van Doorslaer","given":"Koenraad","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":836560,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70215192,"text":"70215192 - 2022 - Why let the dogs out? Exploring variables associated with dog confinement and general characteristics of the free-ranging owned-dog population in a peri-urban area","interactions":[],"lastModifiedDate":"2022-08-01T16:44:05.974441","indexId":"70215192","displayToPublicDate":"2020-09-27T08:04:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7152,"text":"Journal of Applied Animal Welfare Science","active":true,"publicationSubtype":{"id":10}},"title":"Why let the dogs out? Exploring variables associated with dog confinement and general characteristics of the free-ranging owned-dog population in a peri-urban area","docAbstract":"<div class=\"hlFld-Abstract test\"><div class=\"abstractSection abstractInFull\"><p>Free-ranging dogs (FRDs), are a problem in several countries, with impacts on humans, domestic animals, and wildlife, although increasing evidence suggests that most FRDs are owned. Therefore, understanding dog ownership on a fine scale is critical. The main objectives of this study were to explore dog management in rural localities from central Chile focusing on modeling owner-related variables associated with dog confinement and characterize confined and FRDs populations. Interviews (170) were carried out in Paine municipality, reporting a human:dog ratio of 1.5:1, and dogs in most households (85.9%, 146/170). Thirty-seven percent (54/146) of those households did not confine their dog(s) to some degree, and 41% (196/472) of surveyed dogs were FRD. Based on multivariable logistic regression models, non-confinement was decreased by (i) negative opinion of owners toward roaming behavior of their dogs, (ii) negative opinion toward FRDs, among others. Dog confinement increased along with owners' concerns about the impacts of their dogs on others. Owned-FRDs tended to have poorer general care than confined dogs. Our findings represent a contribution to the understanding of the human dimensions behind FRDs and provide critical quantitative elements to consider when planning effective control strategies.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10888705.2020.1820334","usgsCitation":"Astorga, F., Poo-Munoz, D.A., Organ, J.F., and Medina-Vogel, G., 2022, Why let the dogs out? Exploring variables associated with dog confinement and general characteristics of the free-ranging owned-dog population in a peri-urban area: Journal of Applied Animal Welfare Science, v. 25, no. 4, p. 311-325, https://doi.org/10.1080/10888705.2020.1820334.","productDescription":"15 p.","startPage":"311","endPage":"325","ipdsId":"IP-065140","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":379294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-68.63401,-52.63637],[-68.63335,-54.8695],[-67.56244,-54.87001],[-66.95992,-54.89681],[-67.29103,-55.30124],[-68.14863,-55.61183],[-68.63999,-55.58002],[-69.2321,-55.49906],[-69.95809,-55.19843],[-71.00568,-55.05383],[-72.2639,-54.49514],[-73.2852,-53.95752],[-74.66253,-52.83749],[-73.8381,-53.04743],[-72.43418,-53.7154],[-71.10773,-54.07433],[-70.59178,-53.61583],[-70.26748,-52.93123],[-69.34565,-52.5183],[-68.63401,-52.63637]]],[[[-68.21991,-21.49435],[-67.82818,-22.87292],[-67.10667,-22.73592],[-66.98523,-22.98635],[-67.32844,-24.0253],[-68.41765,-24.51855],[-68.386,-26.18502],[-68.5948,-26.50691],[-68.29554,-26.89934],[-69.00123,-27.52121],[-69.65613,-28.45914],[-70.01355,-29.36792],[-69.91901,-30.33634],[-70.53507,-31.36501],[-70.0744,-33.09121],[-69.81478,-33.27389],[-69.81731,-34.19357],[-70.38805,-35.16969],[-70.36477,-36.00509],[-71.12188,-36.65812],[-71.11863,-37.57683],[-70.81466,-38.553],[-71.41352,-38.91602],[-71.68076,-39.80816],[-71.91573,-40.83234],[-71.7468,-42.05139],[-72.1489,-42.25489],[-71.91542,-43.40856],[-71.46406,-43.78761],[-71.79362,-44.20717],[-71.3298,-44.40752],[-71.22278,-44.78424],[-71.65932,-44.97369],[-71.55201,-45.56073],[-71.91726,-46.88484],[-72.44736,-47.73853],[-72.33116,-48.24424],[-72.64825,-48.87862],[-73.41544,-49.31844],[-73.32805,-50.37879],[-72.97575,-50.74145],[-72.30997,-50.67701],[-72.3294,-51.42596],[-71.9148,-52.00902],[-69.49836,-52.14276],[-68.57155,-52.29944],[-69.46128,-52.29195],[-69.94278,-52.53793],[-70.8451,-52.8992],[-71.00633,-53.83325],[-71.42979,-53.85645],[-72.55794,-53.53141],[-73.70276,-52.83507],[-74.94676,-52.26275],[-75.26003,-51.62935],[-74.97663,-51.0434],[-75.47975,-50.37837],[-75.60802,-48.67377],[-75.18277,-47.71192],[-74.12658,-46.93925],[-75.6444,-46.64764],[-74.69215,-45.76398],[-74.35171,-44.10304],[-73.24036,-44.45496],[-72.7178,-42.38336],[-73.3889,-42.11753],[-73.70134,-43.36578],[-74.33194,-43.22496],[-74.01796,-41.79481],[-73.6771,-39.94221],[-73.21759,-39.25869],[-73.50556,-38.28288],[-73.58806,-37.15628],[-73.16672,-37.12378],[-72.55314,-35.50884],[-71.86173,-33.90909],[-71.43845,-32.4189],[-71.66872,-30.92064],[-71.37008,-30.09568],[-71.48989,-28.86144],[-70.90512,-27.64038],[-70.72495,-25.70592],[-70.40397,-23.629],[-70.09125,-21.39332],[-70.16442,-19.75647],[-70.37257,-18.34798],[-69.85844,-18.09269],[-69.59042,-17.58001],[-69.10025,-18.26013],[-68.96682,-18.98168],[-68.44223,-19.40507],[-68.75717,-20.37266],[-68.21991,-21.49435]]]]},\"properties\":{\"name\":\"Chile\"}}]}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Astorga, Francisca","contributorId":206755,"corporation":false,"usgs":false,"family":"Astorga","given":"Francisca","email":"","affiliations":[{"id":37392,"text":"Department of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":801127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poo-Munoz, Daniela Alejandra","contributorId":242930,"corporation":false,"usgs":false,"family":"Poo-Munoz","given":"Daniela","email":"","middleInitial":"Alejandra","affiliations":[],"preferred":false,"id":801128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":801129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Medina-Vogel, Gonzalo","contributorId":221069,"corporation":false,"usgs":false,"family":"Medina-Vogel","given":"Gonzalo","email":"","affiliations":[],"preferred":false,"id":801130,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70218172,"text":"70218172 - 2022 - Spatial and temporal variability in lake trout diets in Lake Ontario as revealed by stomach contents and stable isotopes","interactions":[],"lastModifiedDate":"2022-03-28T15:24:23.610407","indexId":"70218172","displayToPublicDate":"2020-09-08T10:16:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variability in lake trout diets in Lake Ontario as revealed by stomach contents and stable isotopes","docAbstract":"<p><span>Lake trout (</span><i>Salvelinus namaycush</i><span>) are an ecologically and economically important piscivore with reported differences in diet and feeding behaviour throughout its range. Eleven stomach content and stable isotope-based metrics were used to describe diets of 349 lake trout between two years (2013 and 2018) and among geographic zones (west, central, east, Kingston basin) in Lake Ontario. Using individual (e.g., volumetric, %V) and aggregate (e.g., index of relative importance, %IRI) diet metrics, we found an overwhelming dominance of alewife (</span><i>Alosa pseudoharengus</i><span>) in lake trout diets among some zones in 2013 (%V&nbsp;=&nbsp;23.3 – 92.7; %IRI&nbsp;=&nbsp;12.2 – 99.5) and all zones in 2018 (%V&nbsp;=&nbsp;83.9 – 96.7; %IRI&nbsp;=&nbsp;96.5 – 100). Round goby (</span><i>Neogobius melanostomus</i><span>) and rainbow smelt (</span><i>Osmerus mordax</i><span>) were secondary lake trout prey items with relative diet percentages only marginally reflected by spatial and temporal variation in prey abundance (round goby: %V&nbsp;=&nbsp;1.0 – 33.3, %IRI&nbsp;=&nbsp;0.1 – 13.2; rainbow smelt: %V&nbsp;=&nbsp;2.5 – 54.0, %IRI&nbsp;=&nbsp;0.1 – 54.0). Carbon (δ</span><sup>13</sup><span>C) and nitrogen (δ</span><sup>15</sup><span>N) isotopic niche areas and orientations were similar across all year-zone combinations reinforcing temporal and spatial consistency in lake trout diet. The findings of this study advance the time series in describing Lake Ontario lake trout diets and can be used to complement stock assessments and management decisions associated with carrying capacity for the diverse salmonid community.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.08.004","usgsCitation":"Nawrocki, B.M., Metcalfe, B.W., Holden, J.P., Lantry, B.F., and Johnson, T., 2022, Spatial and temporal variability in lake trout diets in Lake Ontario as revealed by stomach contents and stable isotopes: Journal of Great Lakes Research, v. 48, no. 2, p. 392-403, https://doi.org/10.1016/j.jglr.2020.08.004.","productDescription":"12 p.","startPage":"392","endPage":"403","ipdsId":"IP-118045","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":383274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.925537109375,\n              43.265206318396025\n            ],\n            [\n              -79.8101806640625,\n              43.281204464332745\n            ],\n            [\n              -79.5904541015625,\n              43.18515250937298\n            ],\n            [\n              -79.3597412109375,\n              43.16512263158296\n            ],\n            [\n              -79.1839599609375,\n              43.193162620926074\n            ],\n            [\n              -78.9532470703125,\n              43.27320591705845\n            ],\n            [\n              -78.6236572265625,\n              43.329173667843904\n            ],\n            [\n              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(OMNRF)","active":true,"usgs":false}],"preferred":false,"id":810309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metcalfe, Brent W.","contributorId":251688,"corporation":false,"usgs":false,"family":"Metcalfe","given":"Brent","email":"","middleInitial":"W.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":810310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holden, Jeremy P.","contributorId":251689,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":810311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":810312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Timothy B.","contributorId":251690,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy B.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":810313,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70219050,"text":"70219050 - 2022 - Diversity of diatoms, benthic macroinvertebrates, and fish varies in response to different environmental correlates in Arctic rivers across North America","interactions":[],"lastModifiedDate":"2022-01-25T16:40:12.805959","indexId":"70219050","displayToPublicDate":"2020-08-13T08:18:12","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Diversity of diatoms, benthic macroinvertebrates, and fish varies in response to different environmental correlates in Arctic rivers across North America","docAbstract":"<ol class=\"\"><li>Climate change poses a significant threat to Arctic freshwater biodiversity, but impacts depend upon the strength of organism response to climate‐related drivers. Currently, there is insufficient knowledge about Arctic freshwater biodiversity patterns to guide assessment, prediction, and management of biodiversity change.</li><li>As part of the Circumpolar Biodiversity Monitoring Program's first freshwater assessment, we evaluated diversity of diatoms, benthic macroinvertebrates, and fish in North American Arctic rivers. Alpha diversity was assessed in relation to temperature, water chemistry, bedrock geology, and glaciation history to identify important environmental correlates. Biotic composition was compared among groups to evaluate response to environmental gradients.</li><li>Macroinvertebrate α‐diversity declined strongly with increasing latitude from 48°N to 82°N, whereas diatom and fish diversity peaked around 70°N without a clear latitudinal decline. Macroinvertebrate diversity was significantly positively related to air temperature. Diatom diversity was related to bedrock geology and temperature, whereas fish diversity was related to glaciation history.</li><li>Fish and macroinvertebrate assemblages differed between sites in western Canada, where invertebrate composition was more variable, and Alaska, where fish composition was more variable. In sites with both diatom and macroinvertebrate data, diatom composition was distinct in Alaska, where richness was highest in former glacial refugia. Macroinvertebrate composition was distinct in lowest‐latitude eastern and high‐latitude western Canadian sites where temperature was highest.</li><li>Temperature, precipitation, geology, calcium, and substrate size were important environmental correlates for diatoms and macroinvertebrates, although the relative importance of each correlate differed. Diatom taxa were most strongly associated with water chemistry, whereas benthic invertebrate composition related most strongly to precipitation and temperature.</li><li>This large‐scale study provides the most substantial integration and analysis of river diatom, macroinvertebrate, and fish data from the North American Arctic to date. Findings suggest that macroinvertebrates will show the strongest response to climate‐related shifts in temperature, whereas diatoms and fish are more likely to respond to climate‐induced shifts in nutrients and hydraulic connectivity. However, significant gaps in data coverage limited our ability to reliably evaluate spatial patterns and detect change. These gaps could be reduced by improving collaborative efforts between the U.S.A. and Canada to harmonise future monitoring.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13600","usgsCitation":"Lento, J., Laske, S.M., Lavoie, I., Bogan, D., Brua, B., Campeau, S., Chin, K., Culp, J.M., Levenstein, B., Power, M., Saulnier-Talbot, E., Shaftel, R., Swanson, H.K., Whitman, M., and Zimmerman, C.E., 2022, Diversity of diatoms, benthic macroinvertebrates, and fish varies in response to different environmental correlates in Arctic rivers across North America: Freshwater Biology, v. 67, no. 1, p. 95-115, https://doi.org/10.1111/fwb.13600.","productDescription":"21 p.","startPage":"95","endPage":"115","ipdsId":"IP-111444","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":449875,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/fwb.13600","text":"External 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Canada, Watershed Hydrology and Ecology Research Division","active":true,"usgs":false}],"preferred":false,"id":812582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campeau, Stephane","contributorId":255564,"corporation":false,"usgs":false,"family":"Campeau","given":"Stephane","email":"","affiliations":[{"id":51589,"text":"Department of Environmental Sciences, Université du Québec à Trois-Rivières","active":true,"usgs":false}],"preferred":false,"id":812583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chin, Krista","contributorId":255565,"corporation":false,"usgs":false,"family":"Chin","given":"Krista","email":"","affiliations":[{"id":51590,"text":"Cumulative Impacts Monitoring Program, Government of the Northwest Territories","active":true,"usgs":false}],"preferred":false,"id":812584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Culp, Joseph M.","contributorId":255566,"corporation":false,"usgs":false,"family":"Culp","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":51591,"text":"Environment and Climate Change Canada and Wilfrid Laurier University, Department of Biology and Department of Geography and Environmental Studies,","active":true,"usgs":false}],"preferred":false,"id":812585,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Levenstein, Brianna","contributorId":255567,"corporation":false,"usgs":false,"family":"Levenstein","given":"Brianna","email":"","affiliations":[{"id":51592,"text":"Canadian Rivers Institute and Department of Biology, University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":812586,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Power, Michael","contributorId":216899,"corporation":false,"usgs":false,"family":"Power","given":"Michael","email":"","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":812587,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Saulnier-Talbot, Emilie","contributorId":255568,"corporation":false,"usgs":false,"family":"Saulnier-Talbot","given":"Emilie","email":"","affiliations":[{"id":51593,"text":"Laboratoire de paléoécologie aquatique, Centre d'études nordiques (CEN), Université Laval, Canada","active":true,"usgs":false}],"preferred":false,"id":812588,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shaftel, Rebecca 0000-0002-4789-4211","orcid":"https://orcid.org/0000-0002-4789-4211","contributorId":248594,"corporation":false,"usgs":false,"family":"Shaftel","given":"Rebecca","email":"","affiliations":[{"id":37194,"text":"University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":812589,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Swanson, Heidi K.","contributorId":203350,"corporation":false,"usgs":false,"family":"Swanson","given":"Heidi","email":"","middleInitial":"K.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":812590,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Whitman, Matthew","contributorId":19257,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","affiliations":[],"preferred":false,"id":812591,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center 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,{"id":70262423,"text":"70262423 - 2022 - Comparative genomic analyses and a novel linkage map for cisco (Coregonus artedi) provides insight into chromosomal evolution and rediploidization across salmonids","interactions":[],"lastModifiedDate":"2025-01-17T17:14:42.574738","indexId":"70262423","displayToPublicDate":"2020-08-01T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10934,"text":"G3 Genes, Genomes, Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Comparative genomic analyses and a novel linkage map for cisco (Coregonus artedi) provides insight into chromosomal evolution and rediploidization across salmonids","docAbstract":"<p><span>Whole-genome duplication (WGD) is hypothesized to be an important evolutionary mechanism that can facilitate adaptation and speciation. Genomes that exist in states of both diploidy and residual tetraploidy are of particular interest, as mechanisms that maintain the ploidy mosaic after WGD may provide important insights into evolutionary processes. The Salmonidae family exhibits residual tetraploidy, and this, combined with the evolutionary diversity formed after an ancestral autotetraploidization event, makes this group a useful study system. In this study, we generate a novel linkage map for cisco (</span><i>Coregonus artedi</i><span>), an economically and culturally important fish in North America and a member of the subfamily Coregoninae, which previously lacked a high-density haploid linkage map. We also conduct comparative genomic analyses to refine our understanding of chromosomal fusion/fission history across salmonids. To facilitate this comparative approach, we use the naming strategy of protokaryotype identifiers (PKs) to associate duplicated chromosomes to their putative ancestral state. The female linkage map for cisco contains 20,292 loci, 3,225 of which are likely within residually tetraploid regions. Comparative genomic analyses revealed that patterns of residual tetrasomy are generally conserved across species, although interspecific variation persists. To determine the broad-scale retention of residual tetrasomy across the salmonids, we analyze sequence similarity of currently available genomes and find evidence of residual tetrasomy in seven of the eight chromosomes that have been previously hypothesized to show this pattern. This interspecific variation in extent of rediploidization may have important implications for understanding salmonid evolutionary histories and informing future conservation efforts.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1534/g3.120.401497","usgsCitation":"Blumstein, D., Campbell, M., Hale, M., Sutherland, B., Garrett J. McKinney, Stott, W., and Larson, W., 2022, Comparative genomic analyses and a novel linkage map for cisco (Coregonus artedi) provides insight into chromosomal evolution and rediploidization across salmonids: G3 Genes, Genomes, Genetics, v. 10, no. 8, p. 2863-2878, https://doi.org/10.1534/g3.120.401497.","productDescription":"16 p.","startPage":"2863","endPage":"2878","ipdsId":"IP-112496","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481097,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1534/g3.120.401497","text":"Publisher Index Page"},{"id":480754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Blumstein, Danielle M.","contributorId":349243,"corporation":false,"usgs":false,"family":"Blumstein","given":"Danielle M.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":924170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Matthew A.","contributorId":349244,"corporation":false,"usgs":false,"family":"Campbell","given":"Matthew A.","affiliations":[{"id":7097,"text":"University of Alaska-Fairbanks","active":true,"usgs":false}],"preferred":false,"id":924171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hale, Matthew C.","contributorId":349245,"corporation":false,"usgs":false,"family":"Hale","given":"Matthew C.","affiliations":[{"id":25471,"text":"Texas Christian University","active":true,"usgs":false}],"preferred":false,"id":924172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutherland, Ben J.G.","contributorId":349246,"corporation":false,"usgs":false,"family":"Sutherland","given":"Ben J.G.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":924173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrett J. McKinney","contributorId":349247,"corporation":false,"usgs":false,"family":"Garrett J. McKinney","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":924174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stott, Wendylee 0000-0002-5252-4901 wstott@usgs.gov","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":191249,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":924175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924169,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70222132,"text":"70222132 - 2022 - Environmental evolution of peat in the Sacramento – San Joaquin Delta (California) during the Middle and Late Holocene as deduced from pollen, diatoms and magnetism","interactions":[],"lastModifiedDate":"2022-04-11T16:29:49.277945","indexId":"70222132","displayToPublicDate":"2020-05-31T06:55:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Environmental evolution of peat in the Sacramento – San Joaquin Delta (California) during the Middle and Late Holocene as deduced from pollen, diatoms and magnetism","docAbstract":"<p><span>We studied the sequence of climatic and hydrological events associated with the formation of peat during the Holocene, using pollen, diatoms and environmental magnetism from peat cores at three locations in the Sacramento-San Joaquin Delta of California: Browns Island, Franks Wetland and Webb Track Levee. Our data show that peat first formed under relatively dry conditions in a freshwater environment before 6.5 ka BP. Subsequently, pollen accumulation rates were highest prior to intervals with high peat accretion rates but are inversely correlated with organic accumulation rate. Intervals of high peat accretion were preceded by pulses of terrigenous material. During intensive drainage episodes, high flows delivered abundant, coarser-grained sediment to the marshes, which inundated the existing vegetation and decreased the rate of biochemical decay. The build-up of undecomposed organic material led to the acceleration of peat accretion. Our data support the rarely discussed hypothesis that most of the peat in the Sacramento-San Joaquin Delta formed in freshwater marshes that were fed by rivers draining from the Sierra Nevada, rather than in saltwater wetlands resulting from sea level rise and estuarine submergence. This result has important implications for current attempts to remediate and restore the Delta ecosystem.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2020.05.012","usgsCitation":"Delusina, I., Starratt, S.W., and Verosub, K.L., 2022, Environmental evolution of peat in the Sacramento – San Joaquin Delta (California) during the Middle and Late Holocene as deduced from pollen, diatoms and magnetism: Quaternary International, v. 621, p. 50-61, https://doi.org/10.1016/j.quaint.2020.05.012.","productDescription":"12 p.","startPage":"50","endPage":"61","ipdsId":"IP-090434","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2020.05.012","text":"Publisher Index Page"},{"id":387320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","city":"Sacramento","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.728515625,\n              38.39764411353178\n            ],\n            [\n              -121.23138427734375,\n              38.39764411353178\n            ],\n            [\n              -121.23138427734375,\n              38.732661120482334\n            ],\n            [\n              -121.728515625,\n              38.732661120482334\n            ],\n            [\n              -121.728515625,\n              38.39764411353178\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"621","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Delusina, Irina","contributorId":261263,"corporation":false,"usgs":false,"family":"Delusina","given":"Irina","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":819619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":819620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verosub, Kenneth L","contributorId":261264,"corporation":false,"usgs":false,"family":"Verosub","given":"Kenneth","email":"","middleInitial":"L","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":819621,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210168,"text":"70210168 - 2022 - Understanding rates of change: A case study using fossil pollen records from California to assess the potential for and challenges to a regional data synthesis","interactions":[],"lastModifiedDate":"2022-03-28T15:18:58.547052","indexId":"70210168","displayToPublicDate":"2020-05-15T09:23:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Understanding rates of change: A case study using fossil pollen records from California to assess the potential for and challenges to a regional data synthesis","docAbstract":"<p><span>Insights into the rates at which ecosystems and vegetation respond to a changing climate is fundamental to anticipating impacts of projected climate change. Characterization of vegetation change over millennia to centuries has potential to make an important contribution toward this goal, and regional scale syntheses of fossil pollen data can provide the foundation for this understanding. However, challenges of data analysis and integration are nontrivial. Here we present a case study in which publicly available fossil pollen data for California are assessed and analyzed. The data are selected according to a clearly defined selection criteria, and a Rate of Change (RoC) value is calculated to assess rates of vegetation change in California from ~15k BP (before A.D. 1950) to the present. Our results highlight several challenges presented by the extant data sets, including temporal sampling variation within and between records, large age control uncertainties, and sparse, geographically biased coverage. Recommendations for methodological refinements to better characterize ecological rates of change include increasing sampling frequency, maintaining a consistent temporal spacing within records, and applying probabilistic approaches to existing pollen data sets.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2020.04.044","usgsCitation":"Anderson, L., Wahl, D., and Bhattacharya, T., 2022, Understanding rates of change: A case study using fossil pollen records from California to assess the potential for and challenges to a regional data synthesis: Quaternary International, v. 621, p. 26-36, https://doi.org/10.1016/j.quaint.2020.04.044.","productDescription":"11 p.","startPage":"26","endPage":"36","ipdsId":"IP-102226","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449879,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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T.","contributorId":96920,"corporation":false,"usgs":true,"family":"Bhattacharya","given":"T.","email":"","affiliations":[],"preferred":false,"id":789462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210442,"text":"70210442 - 2022 - Mapping the extent and methods of small-scale emerald mining in the Panjshir Valley, Afghanistan","interactions":[],"lastModifiedDate":"2022-01-25T16:34:48.069644","indexId":"70210442","displayToPublicDate":"2020-02-12T07:29:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1753,"text":"Geocarto International","active":true,"publicationSubtype":{"id":10}},"title":"Mapping the extent and methods of small-scale emerald mining in the Panjshir Valley, Afghanistan","docAbstract":"Emerald mining in the Panjshir Valley, Afghanistan, has occurred for thousands of years, yet few records exist documenting the detailed spatial extent, techniques, or productivity of small-scale miners. This study proposes new methods to map and monitor the extent and changes in small-scale mining in remote and inaccessible terrain by integrating multispectral remote sensing analysis with archival geologic data and three-dimensional topographic change detection to examine emerald deposit zones and mining activity in the Panjshir Valley. Specifically, previously mapped geologic units known to host emeralds were re-analyzed using Landsat multispectral analysis to investigate the potential distribution of mining activity. Interpretation of very fine-resolution satellite imagery showed that mining activity is becoming more concentrated and transitioning from traditional tunneling methods to mechanized surface excavation. Finally, topographic change analysis of mechanized mine sites was combined with archival grade data to estimate production and consider improved recovery methods by small-scale miners.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10106049.2020.1716394","usgsCitation":"DeWitt, J.D., Chirico, P.G., O’Pry, K.L., and Bergstresser, S.E., 2022, Mapping the extent and methods of small-scale emerald mining in the Panjshir Valley, Afghanistan: Geocarto International, v. 37, no. 1, p. 246-267, https://doi.org/10.1080/10106049.2020.1716394.","productDescription":"22 p.","startPage":"246","endPage":"267","ipdsId":"IP-109069","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":449883,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10106049.2020.1716394","text":"Publisher Index Page"},{"id":375305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Afghanistan","otherGeospatial":"Panjshir Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              67.763671875,\n              34.125447565116126\n            ],\n            [\n              70.9716796875,\n              34.125447565116126\n            ],\n            [\n              70.9716796875,\n              35.99578538642032\n            ],\n            [\n              67.763671875,\n              35.99578538642032\n            ],\n            [\n              67.763671875,\n              34.125447565116126\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"DeWitt, Jessica D. 0000-0002-8281-8134 jdewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-8134","contributorId":5804,"corporation":false,"usgs":true,"family":"DeWitt","given":"Jessica","email":"jdewitt@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":790309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G. 0000-0001-8375-5342","orcid":"https://orcid.org/0000-0001-8375-5342","contributorId":63838,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter","email":"","middleInitial":"G.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":790310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Pry, Kelsey L. 0000-0002-1589-4372","orcid":"https://orcid.org/0000-0002-1589-4372","contributorId":219734,"corporation":false,"usgs":false,"family":"O’Pry","given":"Kelsey","email":"","middleInitial":"L.","affiliations":[{"id":33043,"text":"Natural Systems Analysts, Inc.","active":true,"usgs":false}],"preferred":false,"id":790320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergstresser, Sarah E. 0000-0003-0182-5779 sbergstresser@usgs.gov","orcid":"https://orcid.org/0000-0003-0182-5779","contributorId":195556,"corporation":false,"usgs":true,"family":"Bergstresser","given":"Sarah","email":"sbergstresser@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":790321,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228803,"text":"70228803 - 2022 - An 11,300 yr record of paleoclimatology and paleoceanography of the central California coast in a gravity core from Pioneer Seamount","interactions":[],"lastModifiedDate":"2022-03-28T16:52:44.014385","indexId":"70228803","displayToPublicDate":"2019-12-24T08:07:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"An 11,300 yr record of paleoclimatology and paleoceanography of the central California coast in a gravity core from Pioneer Seamount","docAbstract":"<p><span>Diatom, pollen, silicoflagellate, and biogenic&nbsp;opal&nbsp;analyses from a 155&nbsp;cm-long gravity core from Pioneer&nbsp;Seamount, offshore Santa Cruz, California (PS1410-06&nbsp;GC, latitude 37.3°N, longitude 123.4°W, water depth 2165&nbsp;m) are compiled for the last ~11,300 years and compared with those of&nbsp;ODP&nbsp;1019 and TN062-O550 from northern California. The relative abundance record of the subtropical diatom&nbsp;</span><i>Fragilariopsis doliolus</i><span>&nbsp;has similar bimodal&nbsp;Holocene&nbsp;patterns in all three cores, suggesting that&nbsp;sea surface temperatures&nbsp;(SST) were lower during the middle part of the Holocene than they were during the later and earlier parts. The relative abundance of coastal redwood (</span><i>Sequoia sempervirens</i><span>) pollen, a proxy for fog and coastal upwelling, displays stepwise increases in ODP 1019 and TN062-O550 between&nbsp;~&nbsp;4000 and 3000&nbsp;cal&nbsp;yr. BP, but its relative abundance in PS1410-06&nbsp;GC increases gradually throughout the past 10,200&nbsp;yr without any major steps. Similarly, biogenic silica (opal) displays stepwise increases at ~3600 and 2900&nbsp;cal&nbsp;yr. BP in ODP 1019 and TN062-O550, respectively, whereas opal increases more gradually in PS1410-06&nbsp;GC during the past 10,100&nbsp;yr with relatively minor steps at ~3100 and ~2600&nbsp;cal&nbsp;yr. BP. Together, coastal redwood and opal argue for a more gradual late Holocene increase in coastal upwelling along the coast of central California compared with that off northern California, where onshore-offshore gradients are more distinct.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2019.12.019","usgsCitation":"Barron, J.A., Addison, J.A., Heusser, L.E., Bukry, D., Schwartz, V.E., and Wagner, A., 2022, An 11,300 yr record of paleoclimatology and paleoceanography of the central California coast in a gravity core from Pioneer Seamount: Quaternary International, v. 621, p. 74-83, https://doi.org/10.1016/j.quaint.2019.12.019.","productDescription":"10 p.","startPage":"74","endPage":"83","ipdsId":"IP-109697","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2019.12.019","text":"Publisher Index Page"},{"id":396236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Guide Seamount, Pioneer Seamount","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.5,\n              36.9\n            ],\n            [\n              -123.2,\n              36.9\n            ],\n            [\n              -123.2,\n              37.4\n            ],\n            [\n              -123.5,\n              37.4\n            ],\n            [\n              -123.5,\n              36.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"621","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":835538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":835539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heusser, Linda E.","contributorId":178365,"corporation":false,"usgs":false,"family":"Heusser","given":"Linda","email":"","middleInitial":"E.","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":835540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bukry, David 0000-0003-4540-890X","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":30980,"corporation":false,"usgs":true,"family":"Bukry","given":"David","affiliations":[],"preferred":false,"id":835541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Valerie Evelyn 0000-0003-2874-8435","orcid":"https://orcid.org/0000-0003-2874-8435","contributorId":279639,"corporation":false,"usgs":true,"family":"Schwartz","given":"Valerie","email":"","middleInitial":"Evelyn","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":835542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Amy","contributorId":279638,"corporation":false,"usgs":false,"family":"Wagner","given":"Amy","email":"","affiliations":[{"id":57324,"text":"California State University - Sacramento","active":true,"usgs":false}],"preferred":false,"id":835543,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70238135,"text":"70238135 - 2022 - The use of dye-tracing studies to delineate the recharge area for Manitou Cave in northwestern Alabama","interactions":[],"lastModifiedDate":"2022-11-14T13:03:38.753842","indexId":"70238135","displayToPublicDate":"2019-11-14T07:01:15","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The use of dye-tracing studies to delineate the recharge area for Manitou Cave in northwestern Alabama","docAbstract":"In 2010 the U.S. Fish and Wildlife (USFWS) was petitioned to federally list the Manitou Cave Snail, (Antrorbis breweri ), a stygobiont endemic to Manitou Cave in northwestern Alabama. When an agency is tasked with determining whether to add a species to the Endangered Species List, one of the components examined is potential threats to the biota. Knowing the recharge area for a cave or spring is critical to identifying potential threats because of the interconnectivity between surface activities and groundwater quality/quantity in karst areas.  Potential threats to water quality and quantity in Manitou Cave include recent subdivision developments, a nearby active quarry, land clearing, and several major highways.  The 1.7 km-long cave is currently owned by a non-profit organization, Manitou Cave of Alabama, which oversees management, restoration, research, and documentation activities.  In 2016, talks began between state and federal agencies and the new management in an effort to initiate new research to determine whether the snail merited listing.  In 2019, a cooperative project between USFWS and the U.S. Geological Survey was started to delineate a recharge area for Manitou Cave through dye tracing.  The current research will be used by USFWS to determine primary threats and to inform the decision of whether and how to list the Manitou Cave Snail under the Endangered Species Act.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2019 National Cave and Karst Management Symposium Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"National Cave & Karst Management Symposium","conferenceDate":"October 7-11, 2019","conferenceLocation":"Bristol, Virginia","language":"English","publisher":"National Cave & Karst Management Symposium","usgsCitation":"Miller, B., 2022, The use of dye-tracing studies to delineate the recharge area for Manitou Cave in northwestern Alabama, <i>in</i> 2019 National Cave and Karst Management Symposium Proceedings, Bristol, Virginia, October 7-11, 2019, p. 56-74.","productDescription":"19 p.","startPage":"56","endPage":"74","ipdsId":"IP-115097","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":409324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409313,"type":{"id":15,"text":"Index Page"},"url":"https://nckms.org/wp-content/uploads/2020/10/2019NCKMSProceedings.pdf"}],"country":"United States","state":"Alabama","otherGeospatial":"Manitou Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.40345257170874,\n              34.70325069158092\n            ],\n            [\n              -85.94727581389631,\n              34.70325069158092\n            ],\n            [\n              -85.94727581389631,\n              34.31375304165839\n            ],\n            [\n              -85.40345257170874,\n              34.31375304165839\n            ],\n            [\n              -85.40345257170874,\n              34.70325069158092\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Benjamin 0000-0003-4795-3442 bvmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-4795-3442","contributorId":197345,"corporation":false,"usgs":true,"family":"Miller","given":"Benjamin","email":"bvmiller@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856966,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216083,"text":"70216083 - 2022 - Long-term annual aerial surveys of submersed aquatic vegetation (SAV) support science, management, and restoration","interactions":[],"lastModifiedDate":"2022-08-01T16:45:18.469042","indexId":"70216083","displayToPublicDate":"2019-11-04T12:31:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Long-term annual aerial surveys of submersed aquatic vegetation (SAV) support science, management, and restoration","docAbstract":"Aerial surveys of coastal habitats can uniquely inform the science and management of shallow, coastal zones, and when repeated annually, they reveal changes that are otherwise difficult to assess from ground-based surveys. This paper reviews the utility of a long-term (1984-present) annual aerial monitoring program for submersed aquatic vegetation (SAV) in Chesapeake Bay, its tidal tributaries, and nearby Atlantic coastal bays, USA. We present a series of applications that highlight the program’s importance in assessing anthropogenic impacts, gauging water quality status and trends, establishing and evaluating restoration goals, and understanding the impact of commercial fishing practices on benthic habitats. These examples demonstrate how periodically quantifying coverage of this important foundational habitat answers basic research questions locally as well as globally, and provides essential information to resource managers. New technologies are enabling more frequent and accurate aerial surveys at greater spatial resolution and lower cost. These advances will support efforts to extend the applications described here to similar issues in other areas","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00651-w","usgsCitation":"Orth, R.J., Dennison, W.C., Gurbisz, C., Hannam, M.P., Keisman, J.L., Landry, J.B., Lefcheck, J., Moore, K.A., Murphy, R., Patrick, C.J., Testa, J., Weller, D.E., Wilcox, D.J., and Batiuk, R., 2022, Long-term annual aerial surveys of submersed aquatic vegetation (SAV) support science, management, and restoration: Estuaries and Coasts, v. 45, p. 1012-1027, https://doi.org/10.1007/s12237-019-00651-w.","productDescription":"16 p.","startPage":"1012","endPage":"1027","ipdsId":"IP-105295","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":449886,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-019-00651-w","text":"Publisher Index Page"},{"id":380173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.431640625,\n              37.31775185163688\n            ],\n            [\n              -75.43212890625,\n              37.31775185163688\n            ],\n            [\n              -75.43212890625,\n              39.639537564366684\n            ],\n            [\n              -77.431640625,\n              39.639537564366684\n            ],\n            [\n              -77.431640625,\n              37.31775185163688\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Orth, Robert J.","contributorId":140562,"corporation":false,"usgs":false,"family":"Orth","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":803963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennison, William C.","contributorId":140570,"corporation":false,"usgs":false,"family":"Dennison","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":803964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gurbisz, Cassie","contributorId":199774,"corporation":false,"usgs":false,"family":"Gurbisz","given":"Cassie","email":"","affiliations":[],"preferred":false,"id":803965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hannam, Michael P.","contributorId":199775,"corporation":false,"usgs":false,"family":"Hannam","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":803966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landry, J. Brooke","contributorId":199776,"corporation":false,"usgs":false,"family":"Landry","given":"J.","email":"","middleInitial":"Brooke","affiliations":[],"preferred":false,"id":803968,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lefcheck, Jonathan S. 0000-0002-8787-1786","orcid":"https://orcid.org/0000-0002-8787-1786","contributorId":205448,"corporation":false,"usgs":false,"family":"Lefcheck","given":"Jonathan S.","affiliations":[{"id":37107,"text":"Bigelow Laboratory for Ocean Science, East Boothbay, ME","active":true,"usgs":false}],"preferred":false,"id":803969,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moore, Kenneth A.","contributorId":140569,"corporation":false,"usgs":false,"family":"Moore","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":803970,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":803971,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Patrick, Christopher J.","contributorId":199778,"corporation":false,"usgs":false,"family":"Patrick","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":803972,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Testa, Jeremy","contributorId":199779,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","affiliations":[],"preferred":false,"id":803973,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weller, Donald E.","contributorId":206834,"corporation":false,"usgs":false,"family":"Weller","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":803975,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilcox, David J.","contributorId":140565,"corporation":false,"usgs":false,"family":"Wilcox","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":803976,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Batiuk, Richard A.","contributorId":244451,"corporation":false,"usgs":false,"family":"Batiuk","given":"Richard A.","affiliations":[{"id":48913,"text":"CoastWise Partners","active":true,"usgs":false}],"preferred":false,"id":803977,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70207507,"text":"70207507 - 2022 - Circumpolar patterns of Arctic freshwater fish biodiversity: A baseline for monitoring","interactions":[],"lastModifiedDate":"2022-01-25T16:32:30.429897","indexId":"70207507","displayToPublicDate":"2019-10-01T16:08:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Circumpolar patterns of Arctic freshwater fish biodiversity: A baseline for monitoring","docAbstract":"<ol class=\"\"><li>Climate change, biological invasions, and anthropogenic disturbance pose a threat to the biodiversity and function of Arctic freshwater ecosystems. Understanding potential changes in fish species distribution and richness is necessary, given the great importance of fish to the function of freshwater ecosystems and as a resource to humans. However, information gaps limit large-scale studies and our ability to determine patterns and trends in space and time. This study takes the first step in determining circumpolar patterns of fish species richness and composition, which provides a baseline to improve both monitoring and conservation of Arctic freshwater biodiversity.</li><li>Information on species presence/absence was gathered from the Circumpolar Biodiversity Monitoring Program's Freshwater Database and used to examine patterns of freshwater fish γ-, α-, and β-diversity across 234° of longitude in the Arctic. The metrics of diversity provided information on species richness and composition across hydrobasins, ecoregions, and Arctic zones.</li><li>Circumpolar patterns of fish species biodiversity varied with latitude, isolation, and coarse ecoregion characteristics; patterns were consistent with historic and contemporary barriers to colonisation and environmental characteristics. Gamma-diversity was lower in the high Arctic compared to lower latitude zones, but α-diversity did not decrease with increasing latitude below 71°N, reflecting glacial history. Alpha-diversity was reduced to a single species, Arctic charr<span>&nbsp;</span><i>Salvelinus alpinus</i>, in ecoregions above 71°N, where γ-diversity was the lowest. Beta-diversity indicated little variation in the composition and richness of species across the High Arctic; at lower latitudes, ecoregions contained more species, although species composition turned over across large spatial extents.</li><li>In an analysis of five ecoregions in the circumpolar Arctic, physical isolation, and ecoregion area and topography were identified as strong drivers of γ-, α-, and β-diversity. Physical isolation reduced the γ- and α-diversity, and changes in β-diversity between adjacent locations were due mainly to losses in species richness, rather than due to differences in species composition. Heterogeneity of habitats, environmental gradients, and geographic distance probably contributed to patterns of fish dissimilarity within and across ecoregions.</li><li>This study presents the first analysis of large-scale patterns of freshwater fish biodiversity in the circumpolar Arctic. However, information gaps in space, time, and among taxonomic groups remain. Future inclusion of extensive archive and new data will allow future studies to test for changes and drivers of the observed patterns of biodiversity. This is important given the potential impacts of ongoing and accelerating climate change, land use, and biotic exchange on Arctic fish biodiversity.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13405","usgsCitation":"Laske, S.M., Amundsen, P., Christoffersen, K., Erkinaro, J., Gudbergsson, G., Hayden, B., Heino, J., Holmgren, K., Kahilainen, K.K., Lento, J., Orell, P., Ostergren, J., Power, M., Rafikov, R., Romakkaniemi, A., Svenning, M., Swanson, H.K., Whitman, M., and Zimmerman, C.E., 2022, Circumpolar patterns of Arctic freshwater fish biodiversity: A baseline for monitoring: Freshwater Biology, v. 67, no. 1, p. 176-193, https://doi.org/10.1111/fwb.13405.","productDescription":"18 p.","startPage":"176","endPage":"193","ipdsId":"IP-102863","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":449889,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70236839,"text":"70236839 - 2022 - Zoning Verification in Mexico City Using Strong Motions of the M7.1 Puebla-Morelos Earthquake of September 19, 2017","interactions":[],"lastModifiedDate":"2022-09-20T13:56:18.051634","indexId":"70236839","displayToPublicDate":"2018-12-31T08:55:52","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Zoning Verification in Mexico City Using Strong Motions of the M7.1 Puebla-Morelos Earthquake of September 19, 2017","docAbstract":"Mexico City suffers extensive damage from large earthquakes that originate at far distances due mainly to densely built areas on a filled lakebed. Seismic design codes in Mexico recognize the site-specific issues in Mexico City by acknowledging zones that represent lakebed as being riskier compared to other Mexico City areas. At the time of the 19 September 1985 M8.1 Michoacán Earthquake, (a) the seismic zoning map comprised only three zones (Hills [now Zone I], Transition [now Zone II] and Lake Zone [now Zone III] and (b) a limited number of permanent strong motion stations (~6) existed. Since, 1985 the seismic zonation maps have evolved: (a) the Lake Zone (now Zone III) into 4 sub-zones (a, b, c and d) and (b) the number of strong motion stations has increased significantly (~25) and recorded the 19 September 2017 M7.1 Puebla-Morelos earthquake.  To identify the site frequency [f] (period [T]) at the specific location of a strong motion station within a particular zone or sub-zone (Zone I, II and III a,b,c,d), two well-known methods (H/H and H/V) for determining spectral ratios are employed using these records. The predominant site periods identified by both methods are in good agreement with those interpolated from the zoning-site period maps of Mexico City in the 2004 Seismic Design Code.  Such verification is a testament to the benefits of improved zoning and greater distribution of strong motion network stations, and sets a good example for applications in other seismic regions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applied Technology Council workshop Nov 2018","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th U.S.-Japan-New Zealand Workshop on the Improvement of Structural Engineering and Resilience","conferenceDate":"November 12-14, 2018","conferenceLocation":"Queenstown, New Zealand","language":"English","publisher":"Applied Technology Council","collaboration":"University of Oregon; Universidad Nacional Autónoma de México","usgsCitation":"Celebi, M., Sahakian, V., Melgar, D., and Quintanar, L., 2022, Zoning Verification in Mexico City Using Strong Motions of the M7.1 Puebla-Morelos Earthquake of September 19, 2017, <i>in</i> Applied Technology Council workshop Nov 2018, Queenstown, New Zealand, November 12-14, 2018, p. P5-4-1-P5-4-8.","productDescription":"8 p.","startPage":"P5-4-1","endPage":"P5-4-8","ipdsId":"IP-100364","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","city":"Mexico City","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.062744140625,\n              17.444991866993263\n            ],\n            [\n              -98.294677734375,\n              17.444991866993263\n            ],\n            [\n              -98.294677734375,\n              20.612219573881042\n            ],\n            [\n              -103.062744140625,\n              20.612219573881042\n            ],\n            [\n              -103.062744140625,\n              17.444991866993263\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sahakian, Valerie J.","contributorId":208097,"corporation":false,"usgs":false,"family":"Sahakian","given":"Valerie J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":852385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melgar, Diego","contributorId":193030,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","email":"","affiliations":[],"preferred":false,"id":852386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quintanar, Luis","contributorId":208095,"corporation":false,"usgs":false,"family":"Quintanar","given":"Luis","email":"","affiliations":[{"id":37714,"text":"Instituto de Geofísica, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":852387,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70237021,"text":"70237021 - 2022 - Preliminary study of correlation of natural periods and damping percentages of tall buildings in several countries","interactions":[],"lastModifiedDate":"2022-09-28T16:21:50.447035","indexId":"70237021","displayToPublicDate":"2018-10-01T11:19:56","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary study of correlation of natural periods and damping percentages of tall buildings in several countries","docAbstract":"<p>Fundamental periods (T) and critical damping percentages (ζ) of 41 tall buildings in several countries form the basis of this preliminary study. Correlation between building height and fundamental period for steel and reinforced concrete buildings clearly shows a linear variation but with a large standard deviation, most likely due to considerable variation in the designs of structural systems. No credible correlation was attainable for critical damping percentages against the heights of the buildings. 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,{"id":70237033,"text":"70237033 - 2022 - Responses of the Carquinez, California suspension bridge during the MW6.0 South Napa earthquake of August 24, 2014","interactions":[],"lastModifiedDate":"2022-09-28T16:48:43.850791","indexId":"70237033","displayToPublicDate":"2017-01-01T11:29:16","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Responses of the Carquinez, California suspension bridge during the MW6.0 South Napa earthquake of August 24, 2014","docAbstract":"The behavior of the suspension bridge in Carquinez, CA, during the Mw6.0 24 August 2014 South Napa, CA earthquake is studied using data recorded by an extensive array of accelerometers. Modes, corresponding frequencies and damping are identified and compared with previous studies that used ambient data of the deck only plus mathematical models. Data are systematically analyzed for vertical, transverse and torsional motions of the deck, and transverse, longitudinal and torsional motions of the towers.  The transverse and vertical fundamental mode frequencies of the deck are the same (0.17Hz) due to coupling. Higher frequencies for transverse and vertical coupled modes are the same at 0.46Hz and 0.98Hz. Tower translational frequencies are 0.39Hz in the transverse direction and 0.46 Hz in the longitudinal direction, and are coupled with those of the deck. Coupling of torsional modes of the tower and deck are identified. A beating effect is observed, particularly for torsional motions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the sixteenth World Conference on Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"16th World Conference on Earthquake","conferenceDate":"January 9-13, 2017","conferenceLocation":"Santiago, Chile","language":"English","publisher":"National Information Centre of Earthquake Engineering","usgsCitation":"Celebi, M., Ghahari, S.F., and Taciroglu, E., 2022, Responses of the Carquinez, California suspension bridge during the MW6.0 South Napa earthquake of August 24, 2014, <i>in</i> Proceedings of the sixteenth World Conference on Earthquake Engineering, Santiago, Chile, January 9-13, 2017, 30, 12 p.","productDescription":"30, 12 p.","ipdsId":"IP-071784","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":407446,"type":{"id":15,"text":"Index Page"},"url":"https://www.wcee.nicee.org/wcee/sixteenth_conf_Santiago/"}],"country":"United States","state":"California","otherGeospatial":"Carquinez Suspension Bridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.23169803619385,\n              38.05038912975082\n            ],\n            [\n              -122.2309684753418,\n              38.049611852048756\n            ],\n            [\n              -122.22659111022949,\n              38.05228159747128\n            ],\n            [\n              -122.224702835083,\n              38.05420780901275\n            ],\n            [\n              -122.2243595123291,\n              38.05576225855872\n            ],\n            [\n              -122.22556114196776,\n              38.0677912298829\n            ],\n            [\n              -122.22633361816406,\n              38.069784604330586\n            ],\n            [\n              -122.22873687744139,\n              38.072825240387616\n            ],\n            [\n              -122.22980976104736,\n              38.0723860452116\n            ],\n            [\n              -122.22762107849121,\n              38.0677912298829\n            ],\n            [\n              -122.22710609436035,\n              38.05437677251913\n            ],\n            [\n              -122.23169803619385,\n              38.05038912975082\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":853120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghahari, S. F.","contributorId":147707,"corporation":false,"usgs":false,"family":"Ghahari","given":"S.","email":"","middleInitial":"F.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":853199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taciroglu, E.","contributorId":147710,"corporation":false,"usgs":false,"family":"Taciroglu","given":"E.","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":853200,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250895,"text":"70250895 - 2021 - Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region","interactions":[],"lastModifiedDate":"2024-01-11T14:37:26.712196","indexId":"70250895","displayToPublicDate":"2024-01-11T08:27:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region","docAbstract":"<p><span>The Sulphide Queen carbonatite deposit at Mountain Pass in southeast California is a world class rare earth element (REE) resource. This study images electrical resistivity structure of the REE deposit and surrounding area to characterize resources under cover. An east-west elongated grid (35&nbsp;×&nbsp;15&nbsp;km) of 65 wideband magnetotelluric stations spanning from eastern Shadow Valley to eastern Ivanpah Valley were collected and modeled in three-dimensions (3-D). Gravity, aeromagnetic, and geologic data are used to inform interpretation of structures in the resistivity model, including the following observations. Shadow Valley is filled with conductive sediment that locally dips southward to a depth of 1&nbsp;km. The Kingston Range-Halloran Hills detachment fault dips westward at ∼15 degrees. The REE deposit is a moderate low resistivity zone dipping southwest to a possible depth of ∼1&nbsp;km, and is bounded by the North and South faults and bisected by the Middle fault. Ivanpah Dry Lake is underlain by a north striking southward dipping sedimentary basin. Two possible zones of mineralization are observed in Ivanpah Valley, one along the western edge of Ivanpah Dry Lake and one on the western edge of valley along a new inferred fault. The brittle-ductile transition is imaged at ∼10&nbsp;km below mean sea level. No deep electrically conductive structures are imaged to be related to the REE deposit likely due to the complex geologic history of the Mojave terrane. Future studies should regional target Proterozoic rocks and search within for geophysical signatures similar to Mountain Pass.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC010029","usgsCitation":"Peacock, J., Denton, K., and Ponce, D.A., 2021, Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region: Geochemistry, Geophysics, Geosystems, v. 22, no. 11, e2021GC010029, 16 p., https://doi.org/10.1029/2021GC010029.","productDescription":"e2021GC010029, 16 p.","ipdsId":"IP-132719","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gc010029","text":"Publisher Index Page"},{"id":424329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mountain Pass","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115,\n              36\n            ],\n            [\n              -116,\n              36\n            ],\n            [\n              -116,\n              35\n            ],\n            [\n              -115,\n              35\n            ],\n            [\n              -115,\n              36\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denton, Kevin 0000-0001-9604-4021","orcid":"https://orcid.org/0000-0001-9604-4021","contributorId":207718,"corporation":false,"usgs":true,"family":"Denton","given":"Kevin","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":891969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70218463,"text":"70218463 - 2021 - Projected change in rangeland fractional component cover across the sagebrush biome under climate change through 2085","interactions":[],"lastModifiedDate":"2021-06-10T13:56:04.581613","indexId":"70218463","displayToPublicDate":"2024-01-01T10:12:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Projected change in rangeland fractional component cover across the sagebrush biome under climate change through 2085","docAbstract":"<p><span>Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are unknown. While many studies have projected the effects of climate change using several modeling approaches, none has evaluated the impacts to fractional component cover at a 30-m resolution across the full sagebrush (</span><i>Artemisia</i><span>&nbsp;spp.) biome. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2018 reference period in conjunction with soils and topography data to develop empirical models describing the spatiotemporal variation in component cover. To investigate the ramifications of future change across the western United States, we extended models based on historical relationships over the reference period to model landscape effects based on future weather conditions from two emission scenarios and three time periods (2020s, 2050s, and 2080s). We tested both generalized additive models (GAMs) and regression tree models, finding that the former led to superior spatial and statistical results. Our results indicate more xeric vegetation across most of the study area, with an increasing dominance of non-sagebrush shrubs, annual herbaceous cover, and bare ground over herbaceous and sagebrush cover in both the representative concentration pathway (RCP) 4.5 and 8.5 scenarios. In general, both scenarios yielded similar results, but RCP 8.5 tended to be more extreme, with greater change relative to the reference period. Results demonstrate that in cool sites some degree of warming to growing season maximum temperature or nongrowing season minimum temperature could be beneficial to sagebrush and shrub growth. However, warming nongrowing season maximum temperature was beneficial to shrub, but not to sagebrush growth. Our results inform rangeland managers of potential future vegetation composition, cover, and species distributions, which could improve prioritization of conservation and restoration efforts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3538","usgsCitation":"Rigge, M.B., Shi, H., and Postma, K., 2021, Projected change in rangeland fractional component cover across the sagebrush biome under climate change through 2085: Ecosphere, v. 12, no. 6, e03538, 25 p., https://doi.org/10.1002/ecs2.3538.","productDescription":"e03538, 25 p.","ipdsId":"IP-120420","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":449892,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3538","text":"Publisher Index Page"},{"id":436071,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P134RA6V","text":"USGS data release","linkHelpText":"Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods"},{"id":383685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.765625,\n              42.45588764197166\n            ],\n            [\n              -103.35937499999999,\n              44.02442151965934\n            ],\n            [\n              -104.2822265625,\n              44.653024159812\n            ],\n            [\n              -102.9638671875,\n              45.521743896993634\n            ],\n            [\n              -102.48046875,\n              47.87214396888731\n            ],\n            [\n              -104.32617187499999,\n              48.1367666796927\n            ],\n            [\n              -105.99609375,\n              48.980216985374994\n            ],\n            [\n              -111.357421875,\n              48.951366470947725\n            ],\n            [\n              -114.521484375,\n              47.42808726171425\n            ],\n            [\n              -115.1806640625,\n              46.10370875598026\n            ],\n            [\n              -115.57617187499999,\n              45.30580259943578\n            ],\n            [\n              -117.5537109375,\n              47.39834920035926\n            ],\n            [\n              -119.00390625,\n              48.83579746243093\n            ],\n            [\n              -122.03613281249999,\n              44.84029065139799\n            ],\n            [\n              -121.5087890625,\n              42.74701217318067\n            ],\n            [\n              -121.2451171875,\n              40.38002840251183\n            ],\n            [\n              -119.17968749999999,\n              36.87962060502676\n            ],\n            [\n              -117.1142578125,\n              36.13787471840729\n            ],\n            [\n              -113.90625,\n              35.06597313798418\n            ],\n            [\n              -110.1708984375,\n              36.94989178681327\n            ],\n            [\n              -109.599609375,\n              35.782170703266075\n            ],\n            [\n              -108.06152343749999,\n              34.34343606848294\n            ],\n            [\n              -105.9521484375,\n              35.209721645221386\n            ],\n            [\n              -104.765625,\n              42.45588764197166\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":811015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":192768,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":817368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Postma, Kory 0000-0001-8058-498X","orcid":"https://orcid.org/0000-0001-8058-498X","contributorId":252852,"corporation":false,"usgs":true,"family":"Postma","given":"Kory","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":817369,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243274,"text":"70243274 - 2021 - Developing a set of indicators to identify, monitor, and track impacts and change in forests of the United States","interactions":[],"lastModifiedDate":"2023-05-05T12:06:05.676027","indexId":"70243274","displayToPublicDate":"2023-03-10T07:04:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Developing a set of indicators to identify, monitor, and track impacts and change in forests of the United States","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>United States forestland is an important ecosystem type, land cover, land use, and economic resource that is facing several drivers of change including climatic. Because of its significance, forestland was identified through the National Climate Assessment (NCA) as a key sector and system of concern to be included in a system of climate indicators as part of a sustained assessment effort. Here, we describe 11 informative core indicators of forests and climate change impacts with metrics available or nearly available for use in the NCA efforts. The recommended indicators are based on a comprehensive conceptual model which recognizes forests as a land use, an ecosystem, and an economic sector. The indicators cover major forest attributes such as extent, structural components such as biomass, functions such as growth and productivity, and ecosystem services such as biodiversity and outdoor recreation. Interactions between humans and forests are represented through indicators focused on the wildland-urban interface, cost to mitigate wildfire risk, and energy produced from forest-based biomass. Selected indicators also include drought and disturbance from both wildfires and biotic agents. The forest indicators presented are an initial set that will need further refinement in coordination with other NCA indicator teams. Our effort ideally will initiate the collection of critical measurements and observations and lead to additional research on forest-climate indicators.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10584-021-02993-6","usgsCitation":"Anderson, S.M., Heath, L.S., Emery, M.R., Hicke, J., Littell, J., Lucier, A., Masek, J.G., Peterson, D.L., Pouyat, R., Potter, K.M., Robertson, G., and Sperry, J., 2021, Developing a set of indicators to identify, monitor, and track impacts and change in forests of the United States: Climatic Change, v. 165, 13, 16 p., https://doi.org/10.1007/s10584-021-02993-6.","productDescription":"13, 16 p.","ipdsId":"IP-124478","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467217,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://link.springer.com/10.1007/s10584-021-02993-6","text":"External Repository"},{"id":416754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","noUsgsAuthors":false,"publicationDate":"2021-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Sarah M.","contributorId":304860,"corporation":false,"usgs":false,"family":"Anderson","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":871764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heath, Linda S.","contributorId":172940,"corporation":false,"usgs":false,"family":"Heath","given":"Linda","email":"","middleInitial":"S.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":871765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emery, Marla R.","contributorId":236950,"corporation":false,"usgs":false,"family":"Emery","given":"Marla","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":871766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hicke, Jeffrey A.","contributorId":245595,"corporation":false,"usgs":false,"family":"Hicke","given":"Jeffrey A.","affiliations":[{"id":49228,"text":"University of Idaho,  Department of Geography and Environmental Science Program","active":true,"usgs":false}],"preferred":false,"id":871767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":871768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lucier, Alan","contributorId":245597,"corporation":false,"usgs":false,"family":"Lucier","given":"Alan","email":"","affiliations":[{"id":49229,"text":"National Council for Air and Steam Improvement, Inc","active":true,"usgs":false}],"preferred":false,"id":871769,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Masek, Jeffrey G.","contributorId":197725,"corporation":false,"usgs":false,"family":"Masek","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":871770,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peterson, David L. davep@usgs.gov","contributorId":292421,"corporation":false,"usgs":false,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":871771,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pouyat, Richard","contributorId":245598,"corporation":false,"usgs":false,"family":"Pouyat","given":"Richard","affiliations":[{"id":49230,"text":"national program leader air quality research, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":871772,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Potter, Kevin M.","contributorId":167660,"corporation":false,"usgs":false,"family":"Potter","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":24794,"text":"Department of Forestry and Environmental Resources, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":871773,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robertson, Guy","contributorId":245599,"corporation":false,"usgs":false,"family":"Robertson","given":"Guy","email":"","affiliations":[{"id":49231,"text":"national sustainability program leader, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":871774,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sperry, Jinelle","contributorId":245600,"corporation":false,"usgs":false,"family":"Sperry","given":"Jinelle","affiliations":[{"id":49232,"text":"U.S. Army Corps of Engineers, Research Development Center,","active":true,"usgs":false}],"preferred":false,"id":871775,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70247507,"text":"70247507 - 2021 - Partial differential equation driven dynamic graph networks for predicting stream water temperature","interactions":[],"lastModifiedDate":"2023-08-10T12:22:01.499669","indexId":"70247507","displayToPublicDate":"2023-01-24T07:20:46","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Partial differential equation driven dynamic graph networks for predicting stream water temperature","docAbstract":"<div class=\"abstract-text row g-0\"><div class=\"col-12\"><div class=\"u-mb-1\"><div>This paper presents a physics-guided machine learning approach that incorporates partial differential equations (PDEs) in a graph neural network model to improve the prediction of water temperature in river networks. The standard graph neural network model often uses pre-defined edge weights based on distance or similarity measures. Such static graph structure can be limited in capturing multiple processes in a physical system that interact and evolve over time. The limitation to represent underlying physical processes can severely affect the performance of the predictive model, especially when we have access to limited training data. To better capture the dynamic interactions among multiple segments in a river network, we built a dynamic graph model, where the graph structure is driven by the PDE that describes underlying physical processes. We further combine the dynamic graph structure and the recurrent layers to model temporal dependencies and improve the prediction. We demonstrate the effectiveness of the proposed method in a subnetwork of the Delaware River Basin. In particular, we show that the proposed method outperforms existing physics-based and machine learning models in temperature prediction using sparse observation data for training. The proposed method has also been shown to produce better performance when generalized to different seasons.</div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2021 IEEE International Conference on Data Mining (ICDM)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IEEE International Conference on Data Mining (ICDM)","conferenceDate":"December 7-10, 2021","conferenceLocation":"Auckland, New Zealand","language":"English","publisher":"Institute of Electrical and Electronics Engineers","doi":"10.1109/ICDM51629.2021.00011","usgsCitation":"Bao, T., Jia, X., Zwart, J.A., Sadler, J.M., Appling, A.P., Oliver, S.K., and Johnson, T.T., 2021, Partial differential equation driven dynamic graph networks for predicting stream water temperature, <i>in</i> 2021 IEEE International Conference on Data Mining (ICDM), Auckland, New Zealand, December 7-10, 2021, p. 11-20, https://doi.org/10.1109/ICDM51629.2021.00011.","productDescription":"10 p.","startPage":"11","endPage":"20","ipdsId":"IP-130754","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":419700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bao, Tianshu","contributorId":318090,"corporation":false,"usgs":false,"family":"Bao","given":"Tianshu","email":"","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":879901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jia, Xiaowei 0000-0001-8544-5233","orcid":"https://orcid.org/0000-0001-8544-5233","contributorId":237807,"corporation":false,"usgs":false,"family":"Jia","given":"Xiaowei","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":879902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sadler, Jeffrey Michael 0000-0001-8776-4844","orcid":"https://orcid.org/0000-0001-8776-4844","contributorId":260092,"corporation":false,"usgs":true,"family":"Sadler","given":"Jeffrey","email":"","middleInitial":"Michael","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":879905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Taylor T. 0000-0001-8021-9923","orcid":"https://orcid.org/0000-0001-8021-9923","contributorId":318093,"corporation":false,"usgs":false,"family":"Johnson","given":"Taylor","email":"","middleInitial":"T.","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":879907,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256778,"text":"70256778 - 2021 - Fine-scale weather patterns drive reproductive success in the Brown Pelican","interactions":[],"lastModifiedDate":"2024-09-06T16:03:47.59938","indexId":"70256778","displayToPublicDate":"2022-12-23T10:54:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale weather patterns drive reproductive success in the Brown Pelican","docAbstract":"<p><span>In the northern Gulf of Mexico, island restoration and creation have been used to mitigate potential negative effects of anthropogenic and environmental stressors to breeding seabirds. The long-term success of such projects can be enhanced when data are available to elucidate how site-specific and larger-scale factors may contribute to reproductive success. Nest-specific daily survival rate (DSR) of Eastern Brown Pelicans (</span><i>Pelecanus occidentalis carolinensis</i><span>) during incubation (i.e., pre-hatch;&nbsp;</span><i>n</i><span>&nbsp;= 245) and brood-rearing (i.e., post-hatch;&nbsp;</span><i>n</i><span>&nbsp;= 185) were measured at two breeding islands in the northern Gulf of Mexico USA in 2017 and 2018 in relation to macro- and micro- scale habitat and environmental measurements. DSR of nests during incubation ranged from 91-99%, and the DSR during brood-rearing exceeded 99% each year. Regional weather variables occurred in top-performing models more often and with more significance compared to microhabitat variables. Results suggest that reproductive success of Brown Pelicans may respond at least in part to weather factors that occur outside of the scope of habitat structure as it is typically incorporated into the restoration or creation of breeding habitat, indicating that climate conditions are likely an important factor in the success of restoration efforts.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.044.0202","usgsCitation":"Streker, R., Lamb, J., Dindo, J., and Jodice, P.G., 2021, Fine-scale weather patterns drive reproductive success in the Brown Pelican: Waterbirds, v. 44, no. 2, p. 153-166, https://doi.org/10.1675/063.044.0202.","productDescription":"14 p.","startPage":"153","endPage":"166","ipdsId":"IP-112416","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":449897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.044.0202","text":"Publisher Index Page"},{"id":433565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Cat Island, Gaillard Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.21140334799445,\n              30.323486762297065\n            ],\n            [\n              -88.21140334799445,\n              30.318872526999428\n            ],\n            [\n              -88.20869591533123,\n              30.318872526999428\n            ],\n            [\n              -88.20869591533123,\n              30.323486762297065\n            ],\n            [\n              -88.21140334799445,\n              30.323486762297065\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.02240138633157,\n              30.52620636279063\n            ],\n            [\n              -88.0537680271092,\n              30.52620636279063\n            ],\n            [\n              -88.0537680271092,\n              30.488155985064907\n            ],\n            [\n              -88.02240138633157,\n              30.488155985064907\n            ],\n            [\n              -88.02240138633157,\n              30.52620636279063\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Streker, R.A.","contributorId":279819,"corporation":false,"usgs":false,"family":"Streker","given":"R.A.","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamb, J.S.","contributorId":279814,"corporation":false,"usgs":false,"family":"Lamb","given":"J.S.","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dindo, J.","contributorId":341823,"corporation":false,"usgs":false,"family":"Dindo","given":"J.","email":"","affiliations":[{"id":48711,"text":"Dauphin Island Sea Lab","active":true,"usgs":false}],"preferred":false,"id":908931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908932,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228336,"text":"70228336 - 2021 - Genetic and morphological characterization of the freshwater mussel clubshell species complex (Pleurobema clava and Pleurobema oviforme) to inform conservation planning","interactions":[],"lastModifiedDate":"2022-02-09T16:41:08.092853","indexId":"70228336","displayToPublicDate":"2022-10-20T10:25:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7470,"text":"Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic and morphological characterization of the freshwater mussel clubshell species complex (<i>Pleurobema clava</i> and <i>Pleurobema oviforme</i>) to inform conservation planning","title":"Genetic and morphological characterization of the freshwater mussel clubshell species complex (Pleurobema clava and Pleurobema oviforme) to inform conservation planning","docAbstract":"<p><span>The shell morphologies of the freshwater mussel species&nbsp;</span><i>Pleurobema clava</i><span>&nbsp;(federally endangered) and&nbsp;</span><i>Pleurobema oviforme</i><span>&nbsp;(species of concern) are similar, causing considerable taxonomic confusion between the two species over the last 100&nbsp;years. While&nbsp;</span><i>P.&nbsp;clava</i><span>&nbsp;was historically widespread throughout the Ohio River basin and tributaries to the lower Laurentian Great Lakes,&nbsp;</span><i>P.&nbsp;oviforme</i><span>&nbsp;was confined to the Tennessee and the upper Cumberland River basins. We used two mitochondrial DNA (mtDNA) genes, 13 novel nuclear DNA microsatellite markers, and shell morphometrics to help resolve this taxonomic confusion. Evidence for a single species was apparent in phylogenetic analyses of each mtDNA gene, revealing monophyletic relationships with minimal differentiation and shared haplotypes. Analyses of microsatellites showed significant genetic structuring, with four main genetic clusters detected, respectively, in the upper Ohio River basin, the lower Ohio River and Great Lakes, and upper Tennessee River basin, and a fourth genetic cluster, which included geographically intermediate populations in the Ohio and Tennessee river basins. While principal components analysis (PCA) of morphometric variables (i.e., length, height, width, and weight) showed significant differences in shell shape, only 3% of the variance in shell shape was explained by nominal species. Using Linear Discriminant and Random Forest (RF) analyses, correct classification rates for the two species' shell forms were 65.5% and 83.2%, respectively. Random Forest classification rates for some populations were higher; for example, for North Fork Holston (HOLS), it was &gt;90%. While nuclear DNA and shell morphology indicate that the HOLS population is strongly differentiated, perhaps indicative of cryptic biodiversity, we consider the presence of a single widespread species the most likely biological scenario for many of the investigated populations based on our mtDNA dataset. However, additional sampling of&nbsp;</span><i>P.&nbsp;oviforme</i><span>&nbsp;populations at nuclear loci is needed to corroborate this finding.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8219","usgsCitation":"Morrison, C., Johnson, N., Jones, J.W., Eackles, M.S., Aunins, A.W., Fitzgerald, D.B., Hallerman, E.M., and King, T.L., 2021, Genetic and morphological characterization of the freshwater mussel clubshell species complex (Pleurobema clava and Pleurobema oviforme) to inform conservation planning: Ecology & Evolution, v. 11, no. 21, p. 15325-15350, https://doi.org/10.1002/ece3.8219.","productDescription":"26 p.","startPage":"15325","endPage":"15350","ipdsId":"IP-124957","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":449898,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.8219","text":"External Repository"},{"id":436072,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P928BVHR","text":"USGS data release","linkHelpText":"Novel genetic resources for Clubshell freshwater mussels (Pleurobema clava, P. oviforme) for enhanced conservation"},{"id":395678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Kentucky, Ohio, Pennsylvania, Tennessee, Virginia, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.5166015625,\n              34.994003757575776\n            ],\n            [\n              -80.2880859375,\n              34.994003757575776\n            ],\n         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0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":218986,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Jess W","contributorId":238525,"corporation":false,"usgs":false,"family":"Jones","given":"Jess","email":"","middleInitial":"W","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":833821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eackles, Michael S. 0000-0001-5624-5769 meackles@usgs.gov","orcid":"https://orcid.org/0000-0001-5624-5769","contributorId":218936,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":833822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":833823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fitzgerald, Daniel Bruce 0000-0002-3254-7428","orcid":"https://orcid.org/0000-0002-3254-7428","contributorId":245718,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Daniel","email":"","middleInitial":"Bruce","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":833824,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hallerman, Eric M.","contributorId":202528,"corporation":false,"usgs":false,"family":"Hallerman","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":833825,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"King, Timothy L.","contributorId":199023,"corporation":false,"usgs":false,"family":"King","given":"Timothy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":833826,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70219040,"text":"ofr20201144 - 2021 - Eelgrass (Zostera marina) and seaweed assessment Alaska Peninsula-Becharof National Wildlife Refuges, 2010","interactions":[],"lastModifiedDate":"2022-09-26T15:33:19.498345","indexId":"ofr20201144","displayToPublicDate":"2022-09-23T12:42:52","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":"2020-1144","displayTitle":"Eelgrass (<em>Zostera marina</em>) and Seaweed Assessments at Alaska Peninsula-Becharof National Wildlife Refuges, 2010","title":"Eelgrass (Zostera marina) and seaweed assessment Alaska Peninsula-Becharof National Wildlife Refuges, 2010","docAbstract":"<p class=\"p1\">We conducted the first assessment of eelgrass and seaweed distribution and abundance along the coast of the Alaska Peninsula-Becharof National Wildlife Refuges in Chignik Lagoon and Mud Bay. Areal extent of eelgrass, as determined from remote-sensing techniques, was estimated to be 2,414 hectares in Chignik Lagoon and 188 hectares in Mud Bay, and eelgrass was the dominant marine macrophyte in each of the embayments. During an embayment-wide point survey of Chignik Lagoon, eelgrass and seaweeds were observed on 76 and 62 percent of survey points, respectively. Average percent cover was greater for eelgrass (82 percent) than for seaweeds (37 percent) when each was present at a survey point. In contrast, eelgrass and seaweeds were distributed nearly equally in Mud Bay, occurring on 64 and 70 percent of the points, respectively, and when present, cover of eelgrass and seaweeds were 70 and 60 percent, respectively. Brown and red seaweeds, such as Polysiphonia pacifica, Saccharina latissima, Neorhodomela oregona, and Eudesme borealis, were the most common seaweeds in Chignik Lagoon, while green seaweeds, particularly Kornmannia leptoderma and Cladophora sericea, were dominant in Mud Bay. Standing crop of eelgrass was 44 percent greater in Chignik Lagoon (98.0±6.4 grams dry weight per square meter) than in Mud Bay (68.3±6.7 grams dry weight per square meter) in 2010. Five types of macro-invertebrates were assessed during the point survey. At least one of these macro-invertebrates was observed on 45 percent of points in Chignik Lagoon and 64 percent of points in Mud Bay. Gastropods were the most common of the macro-invertebrates, occurring on 40–57 percent of points in each of the embayments. This assessment of eelgrass and seaweeds can serve as a baseline for determining future changes in the distribution and abundance of these marine macrophytes in Chignik Lagoon and Mud Bay.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201144","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Ward, D.H., Hogrefe, K.R., Donnelly,T.F., Fairchild, L.L., and Britton, R., 2022, Eelgrass (<em>Zostera marina</em>) and seaweed assessment Alaska Peninsula-Becharof National Wildlife Refuges, 2010: U.S. Geological Survey Open-File Report 2020–1144, 14 p., https://doi.org/10.3133/ofr20201144.","productDescription":"Report v, 14 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-118490","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":405810,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20211034","text":"OFR 2021-1034 —","description":"OFR 2021-1034","linkHelpText":"Inventory of eelgrass (<em>Zostera marina</em>) and seaweeds at the end of the Alaska Peninsula, August–September 2012"},{"id":405809,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20201143","text":"OFR 2020-1143 —","description":"OFR 2020-1143","linkHelpText":"Eelgrass (<em>Zostera marina</em>) and seaweed abundance along the coast of Nunivak Island, Yukon Delta National Wildlife Refuge, Alaska, 2010"},{"id":405808,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20201114","text":"OFR 2020-1114 —","description":"OFR 2020-1114","linkHelpText":"Eelgrass (<em>Zostera marina</em>) and Seaweed Abundance along the Coast of Togiak National Wildlife Refuge, Alaska, 2008–10"},{"id":384519,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1144/coverthb1.jpg"},{"id":384520,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1144/ofr20201144.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1144"},{"id":384521,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WEK4JI","text":"USGS data release","description":"USGS data release","linkHelpText":"Imagery and mapping data of eelgrass (<em>Zostera marina</em>) distribution, Alaska and Baja California, Mexico"},{"id":384522,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9URZJYW","text":"USGS data release","description":"USGS data release","linkHelpText":"Point sampling data for eelgrass (<em>Zostera marina</em>) and seaweed distribution and abundance in bays adjacent to the Alaska Peninsula-Becharof National Wildlife Refuges, Alaska, 2010"},{"id":405806,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20201035","text":"OFR 2020-1035 —","description":"OFR 2020-1035","linkHelpText":"Abundance and distribution of eelgrass (<em>Zostera marina</em>) and seaweeds at Izembek National Wildlife Refuge, Alaska, 2007–10"},{"id":405807,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20201080","text":"OFR 2020-1080 —","description":"OFR 2020-1080","linkHelpText":"Distribution of eelgrass (<em>Zostera marina</em>) in coastal waters adjacent to Togiak National Wildlife Refuge, Alaska"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Peninsula-Becharof National Wildlife Refuges","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              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Cited</li></ul>","publishedDate":"2022-09-23","noUsgsAuthors":false,"publicationDate":"2022-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","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":812533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hogrefe, Kyle R. khogrefe@usgs.gov","contributorId":4264,"corporation":false,"usgs":true,"family":"Hogrefe","given":"Kyle","email":"khogrefe@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology 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,{"id":70221733,"text":"70221733 - 2021 - Process-based models and studies of coastal change to inform habitat restoration and climate change adaptation","interactions":[],"lastModifiedDate":"2024-02-21T15:00:56.081497","indexId":"70221733","displayToPublicDate":"2022-09-01T08:57:46","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Process-based models and studies of coastal change to inform habitat restoration and climate change adaptation","docAbstract":"<p>Puget Sound salmon and estuary recovery strategies identify tens of thousands of acres of floodplain and estuary habitat restoration needed to re-establish ecosystem functions lost or degraded from western land use (Simenstad et al., 2011); the extent for nearshore habitat remains uncertain. Sediment is critical for shaping the structure and functions of these ecosystems and the success of many habitat recovery strategies. This is particularly important in the Pacific Northwest, where high sediment flux through the coastal zone makes it a more dynamic ecosystem driver than other regions where estuary restoration guidance has been developed and especially for extensive marshes and floodplains that have subsided due to lost sediment delivery from placement of flow control (flood protection) structures (Grossman et al., 2020). Fluvial sediment delivery to Puget Sound is expected to greatly increase in many systems under projected climate change (Lee et al., 2016), requiring better models and tools to evaluate complex ecosystem responses. </p><p>Guidance for estuary habitat recovery (e.g., Clancy et al., 2009) rests on a paradigm of restoring historic habitats and connectivity by simply removing or lowering levees assuming sediment delivery and accumulation will occur. Outcomes of several restoration projects and studies show that restoring “opportunity” for sediment delivery may not be enough. Improved knowledge and predictive models of land-use and climate change effects on sediment budgets, sediment properties, and coastal change can refine restoration guidance to evaluate quantitative expectations for sediment flux, composition, accumulation, and timing critical to achieving more effective recovery, resilience, and community support.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The 2021 Puget Sound nearshore restoration summit proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"The 2021 Puget Sound Nearshore Restoration Summit","conferenceDate":"March 10-25, 2021","conferenceLocation":"Olympia, WA","language":"English","publisher":"Washington Department of Fish and Wildlife","usgsCitation":"Grossman, E.E., 2021, Process-based models and studies of coastal change to inform habitat restoration and climate change adaptation, <i>in</i> The 2021 Puget Sound nearshore restoration summit proceedings, Olympia, WA, March 10-25, 2021, p. 133-135.","productDescription":"3 p.","startPage":"133","endPage":"135","ipdsId":"IP-130897","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":425816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":425815,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wdfw.wa.gov/publications/02339","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818565,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}