{"pageNumber":"196","pageRowStart":"4875","pageSize":"25","recordCount":40782,"records":[{"id":70222554,"text":"70222554 - 2022 - ShakeMap operations, policies, and procedures","interactions":[],"lastModifiedDate":"2022-02-15T15:34:51.442975","indexId":"70222554","displayToPublicDate":"2021-06-22T06:33:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"ShakeMap operations, policies, and procedures","docAbstract":"<p><span>The US Geological Survey’s ShakeMap is used domestically and globally for post-earthquake emergency management and response, engineering analyses, financial instruments, and other decision-making activities. Recent developments in the insurance, reinsurance, and catastrophe bond sectors link payouts of potentially hundreds of millions of dollars to ShakeMap products. Similarly, building codes, post-earthquake building damage forensic evaluations, and geotechnical evaluations often rely on estimated peak response-spectral values for site-specific evaluations that may lead to costly analyses, retrofits, or other expenditures. Given such activities, financial, engineering, and other technical users demand processing specifications and a metadata trail for actuarial, escrow, and forensic purposes for each significant earthquake. Recent inquiries include how and why maps change with time, how to interpret metadata, and how to obtain the creation and update history of various map layers. Similarly, the collection of ShakeMap scenarios and historical ShakeMaps—either created in earlier versions or rerun as part of the latest version of the ShakeMap Atlas—warrant a full explanation of the inputs, processing, and archiving given their contribution to fragility curve development and loss model calibration. For these reasons, in addition to event-specific ShakeMap metadata and a comprehensive online ShakeMap Manual, we have crafted this practice paper to answer several of the most frequently asked technical questions. We also describe an application programming interface (API) for accessing site-specific shaking metrics and their uncertainties for earthquake forensic purposes in a consistent fashion. In all, we describe the advantages of employing ShakeMaps for these critical purposes as well as describe their limitations and uncertainties, offering an extensive set of instructions and disclaimers that can be referenced by ShakeMap users.</span></p>","language":"English","publisher":"Sage Journals","doi":"10.1177/87552930211030298","usgsCitation":"Wald, D.J., Worden, C., Thompson, E.M., and Hearne, M., 2022, ShakeMap operations, policies, and procedures: Earthquake Spectra, v. 38, no. 1, p. 756-777, https://doi.org/10.1177/87552930211030298.","productDescription":"22 p.","startPage":"756","endPage":"777","ipdsId":"IP-129253","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":436064,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94RJYCS","text":"USGS data release","linkHelpText":"ShakeMap Sampling Tool"},{"id":387671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Napa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.4041748046875,\n              38.21444607848999\n            ],\n            [\n              -122.16247558593751,\n              38.21444607848999\n            ],\n            [\n              -122.16247558593751,\n              38.37611542403604\n            ],\n            [\n              -122.4041748046875,\n              38.37611542403604\n            ],\n            [\n              -122.4041748046875,\n              38.21444607848999\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820543,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254936,"text":"70254936 - 2022 - Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity","interactions":[],"lastModifiedDate":"2024-06-11T15:07:14.9712","indexId":"70254936","displayToPublicDate":"2021-06-18T10:00:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity","docAbstract":"<p><span>Climate change is impacting both the distribution and abundance of vegetation, especially in far northern latitudes. The effects of climate change are different for every plant assemblage and vary heterogeneously in both space and time. Small changes in climate could result in large vegetation responses in sensitive assemblages but weak responses in robust assemblages. But, patterns and mechanisms of sensitivity and robustness are not yet well understood, largely due to a lack of long-term measurements of climate and vegetation. Fortunately, observations are sometimes available across a broad spatial extent. We develop a novel statistical model for a multivariate response based on unknown cluster-specific effects and covariances, where cluster labels correspond to sensitivity and robustness. Our approach utilizes a prototype model for cluster membership that offers flexibility while enforcing smoothness in cluster probabilities across sites with similar characteristics. We demonstrate our approach with an application to vegetation abundance in Alaska, USA, in which we leverage the broad spatial extent of the study area as a proxy for unrecorded historical observations. In the context of the application, our approach yields interpretable site-level cluster labels associated with assemblage-level sensitivity and robustness without requiring strong a priori assumptions about the drivers of climate sensitivity.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1111/biom.13507","usgsCitation":"Scharf, H.R., Raiho, A.M., Pugh, S., Roland, C.A., Swanson, D., Stehn, S.E., and Hooten, M., 2022, Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity: Biometrics, v. 78, no. 4, p. 1427-1440, https://doi.org/10.1111/biom.13507.","productDescription":"14 p.","startPage":"1427","endPage":"1440","ipdsId":"IP-119567","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -148.99881777589104,\n              64.00887382817564\n            ],\n            [\n              -150.90884155174135,\n              64.041197362661\n            ],\n            [\n              -151.7868734550507,\n              64.08774410941011\n            ],\n            [\n              -152.9460496500005,\n              63.782134495939545\n            ],\n            [\n              -152.88639840190885,\n              62.28110828523958\n            ],\n            [\n              -151.75861699267762,\n              62.28489348947565\n            ],\n            [\n              -151.1597743848834,\n              62.454907128588\n            ],\n            [\n              -150.91883926563864,\n              62.618022201463916\n            ],\n            [\n              -150.27292809489717,\n              62.65550366893268\n            ],\n            [\n              -148.80774431364787,\n              63.44079256086752\n            ],\n            [\n              -148.99881777589104,\n              64.00887382817564\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"78","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Scharf, Henry R.","contributorId":206652,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","email":"","middleInitial":"R.","affiliations":[{"id":37371,"text":"Colorado State University, Department of Statistics","active":true,"usgs":false}],"preferred":false,"id":902931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raiho, Ann M.","contributorId":171526,"corporation":false,"usgs":false,"family":"Raiho","given":"Ann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pugh, Sierra","contributorId":338067,"corporation":false,"usgs":false,"family":"Pugh","given":"Sierra","email":"","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":902933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roland, Carl A.","contributorId":338070,"corporation":false,"usgs":false,"family":"Roland","given":"Carl","email":"","middleInitial":"A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, David K.","contributorId":338073,"corporation":false,"usgs":false,"family":"Swanson","given":"David K.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stehn, Sarah E.","contributorId":338076,"corporation":false,"usgs":false,"family":"Stehn","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":902930,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70221167,"text":"70221167 - 2022 - Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada","interactions":[],"lastModifiedDate":"2022-03-15T15:55:06.481082","indexId":"70221167","displayToPublicDate":"2021-06-03T07:44:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada","docAbstract":"<p><span>Rip currents can move unsuspecting swimmers offshore rapidly and represent a significant risk to beach users worldwide, including along the northern coast of Prince Edward Island (PEI), Canada. Although many rip currents are ephemeral and/or spatially variable in response to changes in the nearshore bar morphology and wave and tidal forcing, it is possible for rip channels to be geologically controlled and quasi-permanent in morphology, location, and flow. Several rip channels along the northern coast of PEI appear in the same location from year to year and correspond to elongated lakes, rivers, or swales behind the modern coastal dune system. Given their persistent location and alignment with back dune hydrology, ground-penetrating radar surveys were collected along Brackley and Cavendish Beaches in July 2019 to determine whether persistent rip channels are associated with now-buried river channels extending beneath the modern dunes and continuing offshore. Strong reflectors similar to V-shaped river valleys are present in alongshore transects at both beaches. These infilled valleys align with back-dune hydrology and persistent rip channels, suggesting modern rip channels are structurally controlled and maintained by antecedent geology. This link provides important guidance to beach access management and the distribution of lifesaving strategies along the affected beaches.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02723646.2021.1923389","usgsCitation":"Wernette, P., and Houser, C., 2022, Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada: Physical Geography, v. 43, no. 2, p. 145-162, https://doi.org/10.1080/02723646.2021.1923389.","productDescription":"18 p.","startPage":"145","endPage":"162","ipdsId":"IP-118879","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":386200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Prince Edward Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -64.434814453125,\n              45.909122123907295\n            ],\n            [\n              -61.85852050781249,\n              45.909122123907295\n            ],\n            [\n              -61.85852050781249,\n              47.16730970131578\n            ],\n            [\n              -64.434814453125,\n              47.16730970131578\n            ],\n            [\n              -64.434814453125,\n              45.909122123907295\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wernette, Phillipe Alan 0000-0002-8902-5575","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":259274,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe Alan","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Chris 0000-0002-7880-7619","orcid":"https://orcid.org/0000-0002-7880-7619","contributorId":259276,"corporation":false,"usgs":false,"family":"Houser","given":"Chris","email":"","affiliations":[{"id":52343,"text":"University of Windsor, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":816926,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226839,"text":"70226839 - 2022 - Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","interactions":[],"lastModifiedDate":"2022-01-25T17:32:36.593574","indexId":"70226839","displayToPublicDate":"2021-06-03T06:50:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (<i>Lavinia exilicauda chi</i>)","title":"Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","docAbstract":"<div>Stable isotopes recorded in fish eye lenses are an emerging tool to track dietary shifts coincident with use of diverse habitats over the lifetime of individuals. Eye lenses are metabolically inert, sequentially deposited, archival tissues that can open avenues to chronicle contaminant exposures, diet histories, trophic dynamics and migratory histories of individual fishes. In this study, we demonstrated that trophic histories reconstructed using eye lenses can resolve key uncertainties regarding diet and trophic habitat shifts. Clear Lake hitch (<i>Lavinia exilicauda chi</i>), a threatened cyprinid, inhabits a single lake (Clear Lake, Lake County, California) and utilizes tributary streams for reproduction. Bayesian mixing models applied to δ<sup>13</sup>C and δ<sup>15</sup>N recorded in eye lenses uncovered ontogenetic diet shifts that corresponded with shifts in occupation of habitats providing spawning (tributary streams), rearing (littoral lake), and growth (pelagic lake) functions. The reconstruction of size-structured trophic and habitat information can provide vital information needed to manage and conserve imperiled species such as the Clear Lake hitch.</div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0318","usgsCitation":"Young, M.J., Violette, V.L., Clause, J.K., Bell-Tilcock, M., Whitman, G., Johnson, R.C., and Feyrer, F.V., 2022, Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi): Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 1, p. 21-30, https://doi.org/10.1139/cjfas-2020-0318.","productDescription":"10 p.","startPage":"21","endPage":"30","ipdsId":"IP-119498","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":449808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2020-0318","text":"Publisher Index Page"},{"id":392943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.00292968749999,\n              38.8824811975508\n            ],\n            [\n              -122.53601074218751,\n              38.8824811975508\n            ],\n            [\n              -122.53601074218751,\n              39.1854331703021\n            ],\n            [\n              -123.00292968749999,\n              39.1854331703021\n            ],\n            [\n              -123.00292968749999,\n              38.8824811975508\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"79","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Violette, Veronica L. 0000-0002-7390-4655 vviolette@usgs.gov","orcid":"https://orcid.org/0000-0002-7390-4655","contributorId":222824,"corporation":false,"usgs":true,"family":"Violette","given":"Veronica","email":"vviolette@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clause, Justin Kinsey 0000-0003-0205-0821","orcid":"https://orcid.org/0000-0003-0205-0821","contributorId":270125,"corporation":false,"usgs":true,"family":"Clause","given":"Justin","email":"","middleInitial":"Kinsey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell-Tilcock, Miranda 0000-0002-2714-2100","orcid":"https://orcid.org/0000-0002-2714-2100","contributorId":270127,"corporation":false,"usgs":false,"family":"Bell-Tilcock","given":"Miranda","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":828453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, George","contributorId":215401,"corporation":false,"usgs":false,"family":"Whitman","given":"George","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":828454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Rachel C.","contributorId":196877,"corporation":false,"usgs":false,"family":"Johnson","given":"Rachel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":828455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232697,"text":"70232697 - 2022 - Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy","interactions":[],"lastModifiedDate":"2022-07-12T13:31:32.868472","indexId":"70232697","displayToPublicDate":"2021-06-01T08:25:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy","docAbstract":"<p>A central challenge in applied ecology is understanding the effect of anthropogenic fatalities on wildlife populations and predicting which populations may be particularly vulnerable and in greatest need of management attention. We used 3 approaches to investigate potential effects of fatalities from collisions with wind turbines on 14 raptor species for both current (106 GW) and anticipated future (241 GW) levels of installed wind energy capacity in the United States. Our goals were to identify species at relatively high vs low risk of experiencing population declines from turbine collisions and to also compare results generated from these approaches. Two of the approaches used a calculated turbine-caused mortality rate to decrement population growth, where population trends were derived either from the North American Breeding Bird Survey or a matrix model parameterized from literature-derived demographic values. The third approach was potential biological removal, which estimates the number of fatalities that allow a population to reach and maintain its optimal sustainable population set by management concerns. Different results among the methods reveal substantial gaps in knowledge and uncertainty in both demographic parameters and species-specific estimates of fatalities from wind turbines. Our results suggest that, of the 14 species studied, those with relatively higher potential of population-level impacts from wind turbine collisions included barn owl, ferruginous hawk, golden eagle, American kestrel, and red-tailed hawk. Burrowing owl, Cooper’s hawk, great horned owl, northern harrier, turkey vulture, and osprey had a relatively lower potential for population impacts, and results were not easily interpretable for merlin, prairie falcon, and Swainson’s hawk. Projections of current levels of fatalities to future wind energy scenarios at 241 GW of installed capacity suggest some species could experience population declines because of turbine collisions. Populations of those species may benefit from research to identify tools to prevent or reduce raptor collisions with wind turbines.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3531","usgsCitation":"Diffendorfer, J., Stanton, J.C., Beston, J.A., Thogmartin, W.E., Loss, S., Katzner, T., Johnson, D., Erickson, R.A., Merrill, M., and Corum, M.D., 2022, Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy: Ecosphere, v. 12, no. 6, e03531, 17 p., https://doi.org/10.1002/ecs2.3531.","productDescription":"e03531, 17 p.","ipdsId":"IP-108806","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3531","text":"Publisher Index Page"},{"id":403472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":846312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beston, Julie A. jbeston@usgs.gov","contributorId":5673,"corporation":false,"usgs":true,"family":"Beston","given":"Julie","email":"jbeston@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":846314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":846315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loss, Scott R.","contributorId":140471,"corporation":false,"usgs":false,"family":"Loss","given":"Scott R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":846316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":846317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":846318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846319,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":846320,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Corum, Margo D. 0000-0002-9038-3935","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":210593,"corporation":false,"usgs":true,"family":"Corum","given":"Margo","email":"","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":846321,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70221324,"text":"70221324 - 2022 - Material properties and triggering mechanisms of an andesitic lava dome collapse at Shiveluch Volcano, Kamchatka, Russia, revealed using the finite element method","interactions":[],"lastModifiedDate":"2022-06-01T15:05:16.853818","indexId":"70221324","displayToPublicDate":"2021-06-01T07:36:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3306,"text":"Rock Mechanics and Rock Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Material properties and triggering mechanisms of an andesitic lava dome collapse at Shiveluch Volcano, Kamchatka, Russia, revealed using the finite element method","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Shiveluch volcano (Kamchatka, Russia) is an active andesitic volcano with a history of explosive activity, dome extrusion, and structural collapse during the Holocene. The most recent major (&gt; 1&nbsp;km<sup>3</sup>) dome collapse occurred in November 1964, producing a ~ 1.5&nbsp;km<sup>3</sup><span>&nbsp;</span>debris avalanche that traveled over 15&nbsp;km from the vent and triggered a phreatic explosion followed by a voluminous (~ 0.8&nbsp;km<sup>3</sup>) eruption of juvenile pyroclastic material. Seismic records suggest that the collapse was likely triggered by a magnitude 5.1 earthquake associated with the ascent of magma into the edifice. The geomechanical properties of the pre-1964 dome are unknown; accordingly, the mechanics of the collapse are poorly understood. This project employs numerical slope stability modeling using the finite&nbsp;element method to constrain probable ranges of geomechanical properties for the materials involved in the collapse, considering earthquake loading as the most likely triggering mechanism. Model results show good agreement with the 1964 collapse geometry considering Geological Strength Index and horizontal pseudo-static seismic coefficient ranges of 30–60 and 0.05–0.15&nbsp;g, respectively, representing variably fractured and altered dome rocks under moderate earthquake loading, confirming that ground acceleration alone could have triggered the dome collapse. Deep-seated rotational sliding is the dominant failure mode, but local extension within the dome during failure appears to play an important role in the development of the collapse. The findings of this work allow for better forward modeling of potential future collapses, the results of which can be incorporated into regional hazard and risk assessments.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00603-021-02513-z","usgsCitation":"Wallace, C.S., Schaefer, L.N., and Villeneuve, M., 2022, Material properties and triggering mechanisms of an andesitic lava dome collapse at Shiveluch Volcano, Kamchatka, Russia, revealed using the finite element method: Rock Mechanics and Rock Engineering, v. 55, p. 2711-2728, https://doi.org/10.1007/s00603-021-02513-z.","productDescription":"18 p.","startPage":"2711","endPage":"2728","ipdsId":"IP-129017","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":386390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Shiveluch Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              159.93896484375,\n              56.05976947910657\n            ],\n            [\n              162.75146484375,\n              56.05976947910657\n            ],\n            [\n              162.75146484375,\n              57.06463027327855\n            ],\n            [\n              159.93896484375,\n              57.06463027327855\n            ],\n            [\n              159.93896484375,\n              56.05976947910657\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","noUsgsAuthors":false,"publicationDate":"2021-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, Cory S 0000-0002-2816-6323","orcid":"https://orcid.org/0000-0002-2816-6323","contributorId":260115,"corporation":false,"usgs":false,"family":"Wallace","given":"Cory","email":"","middleInitial":"S","affiliations":[{"id":52508,"text":"Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO, USA","active":true,"usgs":false}],"preferred":false,"id":817311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":817312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villeneuve, Marlène C.","contributorId":260116,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Marlène C.","affiliations":[{"id":52510,"text":"Chair of Subsurface Engineering, Montanuniversität Leoben, Leoben, Austria","active":true,"usgs":false}],"preferred":false,"id":817313,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222097,"text":"70222097 - 2022 - Genomic signatures of thermal adaptation are associated with clinal shifts of life history in a broadly distributed frog","interactions":[],"lastModifiedDate":"2022-06-16T15:13:14.247326","indexId":"70222097","displayToPublicDate":"2021-05-28T07:19:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Genomic signatures of thermal adaptation are associated with clinal shifts of life history in a broadly distributed frog","docAbstract":"<ol class=\"\"><li>Temperature is a critical driver of ectotherm life-history strategies, whereby a warmer environment is associated with increased growth, reduced longevity and accelerated senescence. Increasing evidence indicates that thermal adaptation may underlie such life-history shifts in wild populations. Single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) can help uncover the molecular mechanisms of temperature-driven variation in growth, longevity and senescence. However, our understanding of these mechanisms is still limited, which reduces our ability to predict the response of non-model ectotherms to global temperature change.</li><li>In this study, we examined the potential role of thermal adaptation in clinal shifts of life-history traits (i.e. life span, senescence rate and recruitment) in the Columbia spotted frog<span>&nbsp;</span><i>Rana luteiventris</i><span>&nbsp;</span>along a broad temperature gradient in the western United States.</li><li>We took advantage of extensive capture–recapture datasets of 20,033 marked individuals from eight populations surveyed annually for 14–18&nbsp;years to examine how mean annual temperature and precipitation influenced demographic parameters (i.e. adult survival, life span, senescence rate, recruitment and population growth). After showing that temperature was the main climatic predictor influencing demography, we used RAD-seq data (50,829 SNPs and 6,599 putative CNVs) generated for 352 individuals from 31 breeding sites to identify the genomic signatures of thermal adaptation.</li><li>Our results showed that temperature was negatively associated with annual adult survival and reproductive life span and positively associated with senescence rate. By contrast, recruitment increased with temperature, promoting the long-term viability of most populations. These temperature-dependent demographic changes were associated with strong genomic signatures of thermal adaptation. We identified 148 SNP candidates associated with temperature including three SNPs located within protein-coding genes regulating resistance to cold and hypoxia, immunity and reproduction in ranids. We also identified 39 CNV candidates (including within 38 transposable elements) for which normalized read depth was associated with temperature.</li><li>Our study indicates that both SNPs and structural variants are associated with temperature and could eventually be found to play a functional role in clinal shifts in senescence rate and life-history strategies in<span>&nbsp;</span><i>R. luteiventris</i>. These results highlight the potential role of different sources of molecular variation in the response of ectotherms to environmental temperature variation in the context of global warming.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13545","usgsCitation":"Cayuela, H., Dorant, Y., Forester, B.R., Jeffries, D.L., McCaffery, R.M., Eby, L., Hossack, B., Gippet, J., Pilliod, D., and Funk, W., 2022, Genomic signatures of thermal adaptation are associated with clinal shifts of life history in a broadly distributed frog: Journal of Animal Ecology, v. 91, no. 6, p. 1222-1238, https://doi.org/10.1111/1365-2656.13545.","productDescription":"17 p.","startPage":"1222","endPage":"1238","ipdsId":"IP-127735","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":449813,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13545","text":"Publisher Index Page"},{"id":387294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Cayuela, Hugo","contributorId":245931,"corporation":false,"usgs":false,"family":"Cayuela","given":"Hugo","email":"","affiliations":[{"id":49366,"text":"1Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Pavillon Charles-Eugène-Marchand, Québec, QC G1V 0A6, Canada","active":true,"usgs":false}],"preferred":false,"id":819498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorant, Yann","contributorId":261214,"corporation":false,"usgs":false,"family":"Dorant","given":"Yann","email":"","affiliations":[{"id":52775,"text":"Université Laval, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":819499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forester, Brenna R.","contributorId":261215,"corporation":false,"usgs":false,"family":"Forester","given":"Brenna","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":819500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jeffries, Dan L","contributorId":261216,"corporation":false,"usgs":false,"family":"Jeffries","given":"Dan","email":"","middleInitial":"L","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":819501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":819502,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eby, Lisa A","contributorId":251751,"corporation":false,"usgs":false,"family":"Eby","given":"Lisa A","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":819503,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":819504,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gippet, Jérôme M W","contributorId":261217,"corporation":false,"usgs":false,"family":"Gippet","given":"Jérôme M W","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":819505,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":819506,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Funk, W Chris","contributorId":261218,"corporation":false,"usgs":false,"family":"Funk","given":"W Chris","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":819507,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70224261,"text":"70224261 - 2022 - Estimating the influence of oyster reef chains on freshwater detention at the estuary scale using Landsat-8 imagery","interactions":[],"lastModifiedDate":"2022-01-06T17:19:15.625237","indexId":"70224261","displayToPublicDate":"2021-05-26T07:17:34","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":"Estimating the influence of oyster reef chains on freshwater detention at the estuary scale using Landsat-8 imagery","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Oyster reef chains grow in response to local hydrodynamics and can redirect flows, particularly when reef chains grow perpendicular to freshwater flow paths. Singularly, oyster reef chains can act as porous dams that may facilitate nearshore accumulation of fresh or low-salinity water, in turn creating intermediate salinities that support oyster growth and estuarine conditions. However, oyster-driven freshwater detention has only been confirmed by limited, point-scale observational data, and simplified models. Oyster reef-driven freshwater detention in real ecosystems at the estuary scale remains largely unexplored. In this study, we analyzed the visible bands in 30-m resolution remote sensing (RS) images recorded by the Operational Land Imager aboard Landsat-8 to characterize the freshwater detention effect of oyster reef chains across a set of hydrologic conditions. Our results support prior findings indicating that 30-m resolution RS images recorded by the Operational Land Imager aboard Landsat-8 are useful for analyzing coastal dynamics after atmospheric correction, despite having been originally designed for terrestrial studies. Statistical models of water-leaving reflectance revealed that freshwater detention by oyster reefs was evident across the estuary, with the greatest effect occurring in the region closest to shore. Additionally, statistical modeling results and spatial patterns apparent in the satellite images suggested that reef-driven freshwater detention occurred under high riverine discharge conditions, but was less evident when flow was low. Beyond offering insight on the potential role of oyster reefs as mediators of estuarine hydrology, this study presents a transferable methodological framework for exploring estuarine biophysical feedbacks in blackwater river estuaries using satellite remote sensing.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s12237-021-00959-6","usgsCitation":"Alonso, A., Nelson, N.G., Yurek, S., Kaplan, D., Olabarrieta, M., and Frederick, P., 2022, Estimating the influence of oyster reef chains on freshwater detention at the estuary scale using Landsat-8 imagery: Estuaries and Coasts, v. 45, p. 1-16, https://doi.org/10.1007/s12237-021-00959-6.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-120934","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":489117,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2078.1/246633","text":"External Repository"},{"id":389328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Suwannee Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.353271484375,\n              29.13776825498331\n            ],\n            [\n              -82.67211914062499,\n              29.13776825498331\n            ],\n            [\n              -82.67211914062499,\n              29.551955878093022\n            ],\n            [\n              -83.353271484375,\n              29.551955878093022\n            ],\n            [\n              -83.353271484375,\n              29.13776825498331\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2021-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Alonso, Alice","contributorId":265791,"corporation":false,"usgs":false,"family":"Alonso","given":"Alice","email":"","affiliations":[{"id":54799,"text":"Earth and Life Institute, Universite catholique de Louvain, Louvain-la-Neuve, Belgium","active":true,"usgs":false}],"preferred":false,"id":823387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Natalie G.","contributorId":265792,"corporation":false,"usgs":false,"family":"Nelson","given":"Natalie","email":"","middleInitial":"G.","affiliations":[{"id":54801,"text":"Biological and Agricultural Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":823388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216738,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":823389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaplan, David","contributorId":218612,"corporation":false,"usgs":false,"family":"Kaplan","given":"David","affiliations":[],"preferred":false,"id":823390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":211373,"corporation":false,"usgs":false,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":823391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frederick, Peter C","contributorId":150013,"corporation":false,"usgs":false,"family":"Frederick","given":"Peter C","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":823392,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223759,"text":"70223759 - 2022 - A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations: comment","interactions":[],"lastModifiedDate":"2022-02-15T15:36:21.539096","indexId":"70223759","displayToPublicDate":"2021-05-03T08:43:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations: comment","docAbstract":"<p><span>In a recent paper, Schoolmaster, Zirbel, and Cronin (SZC) (2020</span><span></span><span>) claim “Formal causal analysis show[s] that biodiversity–ecosystem function (BEF) correlations are non-causal associations.” If this conclusion is accepted as true, it suggests a reconsideration of much of our current understanding of how biodiversity relates to the functioning of ecosystems. On the surface, it is easy to spot clear signs of something problematic with SZC’s presentation. They claim, for example, that (1) species richness is incapable of having a causal effect on ecosystem functioning on theoretical grounds, and (2) that trait diversity cannot be causally influenced by species diversity. These remarkable claims are counter to existing thought and evidence. We point to logical errors that lead them to a misapply causal analysis and produce erroneous conclusions.</span></p>","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/ecy.3378","usgsCitation":"Grace, J.B., Loreau, M., and Schmid, B., 2022, A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations: comment: Ecology, v. 103, no. 2, e03378, https://doi.org/10.1002/ecy.3378.","productDescription":"e03378","ipdsId":"IP-118978","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488956,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":388863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"editors":[{"text":"Inouye, Brian D.","contributorId":95409,"corporation":false,"usgs":true,"family":"Inouye","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":822558,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":822554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loreau, Michel","contributorId":17464,"corporation":false,"usgs":false,"family":"Loreau","given":"Michel","email":"","affiliations":[{"id":48706,"text":"Theoretical and Experimental Ecology Station (UMR 5371), National Centre for Scientific Research (CNRS), Paul Sabatier University (UPS), Moulis, France","active":true,"usgs":false}],"preferred":false,"id":822557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmid, Bernhard","contributorId":265329,"corporation":false,"usgs":false,"family":"Schmid","given":"Bernhard","affiliations":[{"id":54647,"text":"Department of Geography, Remote Sensing Laboratories, University of Zurich","active":true,"usgs":false}],"preferred":false,"id":822555,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228997,"text":"70228997 - 2022 - Cognitive and behavioral coping in response to wildlife disease: The case of hunters and chronic wasting disease","interactions":[],"lastModifiedDate":"2022-05-13T14:45:39.989544","indexId":"70228997","displayToPublicDate":"2021-04-30T09:45:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Cognitive and behavioral coping in response to wildlife disease: The case of hunters and chronic wasting disease","docAbstract":"<p><span>The transactional model of stress and coping (TMSC) provides a conceptual framework for understanding adaptations to stressors like chronic wasting disease (CWD). Understanding hunter response to stressors is important because decreased participation and satisfaction can affect individual well-being, cultural traditions, agency revenue, and local economies. Using TMSC, we explored how deer hunters coped with CWD. We also compared involvement, and impacts and emotions related to CWD, inside and outside a CWD management zone. Then we examined coping related to CWD presence, and if the disease affected human health. Most hunters would cope using product shift (i.e., eating meat after a negative test result) rather than displacement (i.e., hunting elsewhere) or dropout. Hunters who may be displaced reported lower involvement in deer hunting, and increased worry about CWD. Results suggest that CWD information and testing may increase hunter worry. Funding expanded testing without prompting displacement or dropout are important management considerations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2021.1919340","usgsCitation":"Schroeder, S., Landon, A., Cornicelli, L., Fulton, D.C., and McInenly, L., 2022, Cognitive and behavioral coping in response to wildlife disease: The case of hunters and chronic wasting disease: Human Dimensions of Wildlife, v. 27, no. 3, p. 251-272, https://doi.org/10.1080/10871209.2021.1919340.","productDescription":"22 p.","startPage":"251","endPage":"272","ipdsId":"IP-119986","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.2030029296875,\n              43.52465500687185\n            ],\n            [\n              -91.23046875,\n              43.84245116699039\n            ],\n            [\n              -91.60400390625,\n              44.09547572946637\n            ],\n            [\n              -92.0379638671875,\n              44.41808794374846\n            ],\n            [\n              -92.3016357421875,\n              44.512176171071054\n            ],\n            [\n              -92.7740478515625,\n              44.75453548416007\n            ],\n            [\n              -92.8509521484375,\n              44.81691551782855\n            ],\n            [\n              -93.1146240234375,\n              44.933696389694674\n            ],\n            [\n              -93.1365966796875,\n              45.19752230305682\n            ],\n            [\n              -93.636474609375,\n              45.16267407976458\n            ],\n            [\n              -93.515625,\n              44.735027899515465\n            ],\n            [\n              -93.0322265625,\n              44.69989765840318\n            ],\n            [\n              -92.74658203125,\n              44.19795903948531\n            ],\n            [\n              -92.3785400390625,\n              43.667871610117494\n            ],\n            [\n              -92.318115234375,\n              43.50872101129684\n            ],\n            [\n              -91.2030029296875,\n              43.52465500687185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":280190,"corporation":false,"usgs":false,"family":"Schroeder","given":"Susan A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":836094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Adam","contributorId":280191,"corporation":false,"usgs":false,"family":"Landon","given":"Adam","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":836095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornicelli, Louis J.","contributorId":280192,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis J.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":836096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836093,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McInenly, Leslie","contributorId":280193,"corporation":false,"usgs":false,"family":"McInenly","given":"Leslie","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":836097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224968,"text":"70224968 - 2022 - Mechanisms controlling climate warming impact on the occurrence of hypoxia in Chesapeake Bay","interactions":[],"lastModifiedDate":"2023-01-18T15:38:30.872009","indexId":"70224968","displayToPublicDate":"2021-03-01T10:18:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms controlling climate warming impact on the occurrence of hypoxia in Chesapeake Bay","docAbstract":"<p>A<span>Climate change represents an increasing stressor on estuarine and coastal ecosystems. A series of simulations were run using the Integrated Compartment Water Quality Model to determine the magnitude of various mechanisms controlling the effect of climate warming on dissolved oxygen (DO) in the Chesapeake Bay. The results suggested that the average hypoxic volume in the summer would increase by 9% (410&nbsp;Mm</span><sup>3</sup><span>) from 1995 to 2025 as air temperature increases by 1.06°C and water temperature by 0.9°C. The change in DO solubility contributes 55% of the total climate warming effect, biological rates 33%, and stratification 11%. The Rappahannock Shoal, a hydraulic control point, plays a major role in determining the effect of climate warming on DO in the Bay. Due to the abrupt change in bathymetry, the convergence between seaward-moving freshwater and landward-moving saltwater causes downwelling and enhanced vertical mixing which introduces surface water of higher temperature to the deep channel and accelerates organic matter remineralization and oxygen consumption in deep waters. Surface water DO concentrations will decrease under climate warming conditions due to lower DO solubility, reducing DO flux to the deep channel and contributing to hypoxia development. These findings provide critical information for future management decision making regarding the effects of climate warming on DO in Chesapeake Bay and other estuaries.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12907","usgsCitation":"Tian, R., Cerco, C., Bhatt, G., Linker, L.C., and Shenk, G.W., 2022, Mechanisms controlling climate warming impact on the occurrence of hypoxia in Chesapeake Bay: Journal of the American Water Resources Association, v. 58, no. 6, p. 855-875, https://doi.org/10.1111/1752-1688.12907.","productDescription":"21 p.","startPage":"855","endPage":"875","ipdsId":"IP-126223","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":390385,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","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              -77.662353515625,\n              36.88840804313823\n            ],\n            [\n              -75.60791015625,\n              36.88840804313823\n            ],\n            [\n              -75.60791015625,\n              39.54641191968671\n            ],\n            [\n              -77.662353515625,\n              39.54641191968671\n            ],\n            [\n              -77.662353515625,\n              36.88840804313823\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tian, Richard 0000-0002-9416-8669","orcid":"https://orcid.org/0000-0002-9416-8669","contributorId":261309,"corporation":false,"usgs":false,"family":"Tian","given":"Richard","email":"","affiliations":[{"id":52807,"text":"U.S. Environmental Protection Agency Chesapeake Bay Program","active":true,"usgs":false}],"preferred":false,"id":824914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cerco, Carl 0000-0001-7855-3287","orcid":"https://orcid.org/0000-0001-7855-3287","contributorId":261306,"corporation":false,"usgs":false,"family":"Cerco","given":"Carl","email":"","affiliations":[{"id":52804,"text":"U.S. Army Corps of Eng.","active":true,"usgs":false}],"preferred":false,"id":824915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhatt, Gopal 0000-0002-6627-793X","orcid":"https://orcid.org/0000-0002-6627-793X","contributorId":252963,"corporation":false,"usgs":false,"family":"Bhatt","given":"Gopal","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":824916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":824917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824918,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227954,"text":"70227954 - 2022 - River floodplain abandonment and channel deepening coincide with the onset of clear-cut logging in a coastal California redwood forest","interactions":[],"lastModifiedDate":"2022-03-28T16:47:00.826195","indexId":"70227954","displayToPublicDate":"2021-02-02T09:48:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"River floodplain abandonment and channel deepening coincide with the onset of clear-cut logging in a coastal California redwood forest","docAbstract":"<p><span>Changes in both land use and climate can alter the balance of transport capacity and sediment supply in rivers. Hence, the primary driver of recent incision or aggradation in alluvial channels is often unclear. The San Lorenzo River on the central coast of California is one location where both climate and land use—specifically, clear-cut forestry of coastal redwoods—could explain recent vertical incision and floodplain abandonment. At our field site on the San Lorenzo, we estimate the magnitude of recent incision using both the ratio of bankfull to critical Shields numbers (</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; altimg=&quot;urn:x-wiley:01979337:media:esp5299:esp5299-math-0001&quot; display=&quot;inline&quot; location=&quot;graphic/esp5299-math-0001.png&quot;><msubsup><mi>&amp;#x3C4;</mi><mi mathvariant=&quot;italic&quot;>bf</mi><mo>*</mo></msubsup><mo>/</mo><msubsup><mi>&amp;#x3C4;</mi><mi>c</mi><mo>*</mo></msubsup></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msubsup\"><span id=\"MathJax-Span-4\" class=\"mi\">\uD835\uDF0F</span><sup><span id=\"MathJax-Span-5\" class=\"mo\">∗</span></sup><sub><span id=\"MathJax-Span-6\" class=\"mi\">\uD835\uDC4F\uD835\uDC53</span></sub></span><span id=\"MathJax-Span-7\" class=\"mo\">/</span><span id=\"MathJax-Span-8\" class=\"msubsup\"><span id=\"MathJax-Span-9\" class=\"mi\">\uD835\uDF0F</span><sup><span id=\"MathJax-Span-10\" class=\"mo\">∗</span></sup><sub><span id=\"MathJax-Span-11\" class=\"mi\">\uD835\uDC50</span></sub></span></span></span></span></span><span>) and the geomorphically effective discharge, calculated from historical gauge data. The Shields number ratio suggests that the normalized bankfull stress of the San Lorenzo River is in the upper 1–2% of West Coast rivers, and the effective discharge corresponds to flow depths ~2–4 m below current bankfull conditions. Radiocarbon ages from detrital charcoal in floodplain sediment reveal active floodplain deposition during the 1600s and possibly into the 1800s, constraining the timing of incision to the last few centuries. Multiple hanging tributaries above the mainstem San Lorenzo River, along with patterns in vegetation on terrace surfaces, corroborate our estimates of the magnitude and timing of incision. Taken together, our findings suggest that floodplain abandonment in this reach was mainly due to methods employed during logging that increased shear stress on the channel bed and reduced sediment storage capacity. We suggest that direct channel modifications in rivers can counterbalance increases in sediment delivery due to clear-cutting, resulting in channel incision rather than aggradation. Today, a young, lower surface appears to be forming adjacent to the San Lorenzo River, which we interpret as an incipient floodplain that is in equilibrium with modern sediment supply and transport capacity.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5299","usgsCitation":"Chapman, W.A., Finnegan, N.J., Pfeiffer, A.M., and La Selle, S., 2022, River floodplain abandonment and channel deepening coincide with the onset of clear-cut logging in a coastal California redwood forest: Earth Surface Processes and Landforms, v. 47, no. 4, p. 994-1012, https://doi.org/10.1002/esp.5299.","productDescription":"19 p.","startPage":"994","endPage":"1012","ipdsId":"IP-127500","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":449846,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5299","text":"Publisher Index Page"},{"id":436066,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZT7ZOX","text":"USGS data release","linkHelpText":"Vibracore CT scans from the San Lorenzo River"},{"id":395272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Lorenzo River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.09209442138673,\n              37.02379869410646\n            ],\n            [\n              -122.04591751098631,\n              37.02379869410646\n            ],\n            [\n              -122.04591751098631,\n              37.08065395744942\n            ],\n            [\n              -122.09209442138673,\n              37.08065395744942\n            ],\n            [\n              -122.09209442138673,\n              37.02379869410646\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Chapman, William A. L. 0000-0003-1056-4830","orcid":"https://orcid.org/0000-0003-1056-4830","contributorId":273226,"corporation":false,"usgs":false,"family":"Chapman","given":"William","email":"","middleInitial":"A. L.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":832690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finnegan, Noah J.","contributorId":198803,"corporation":false,"usgs":false,"family":"Finnegan","given":"Noah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfeiffer, Allison M. 0000-0002-3974-132X","orcid":"https://orcid.org/0000-0002-3974-132X","contributorId":273227,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"Allison","email":"","middleInitial":"M.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":832692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":832693,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224637,"text":"70224637 - 2022 - Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment","interactions":[],"lastModifiedDate":"2021-10-01T13:05:23.963158","indexId":"70224637","displayToPublicDate":"2020-11-25T08:01:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment","docAbstract":"<p id=\"sp0130\"><span>Tungsten&nbsp;(W) is used in a variety of industrial and technological applications and has been identified as a critical mineral for the United States, India, the European Union, and other countries. These countries rely on W imports mostly from China, which leaves them vulnerable to supply disruption. Consequently, the&nbsp;U.S.&nbsp;government has a current initiative to understand domestic resource potential. The eastern Alaska portion of the Yukon-Tanana Upland (YTU), is prospective for W&nbsp;skarn&nbsp;deposits, the major source of global W supply. The&nbsp;regional geology&nbsp;consists of juxtaposed&nbsp;Paleozoic&nbsp;lithotectonic packages that were reaccreted to North America in the&nbsp;</span>Mesozoic<span>. Multiple subsequent episodes of arc-related&nbsp;magmatism&nbsp;intruded the lithotectonic packages, accompanied by W skarn formation mostly associated with 100–90 Ma intrusions; major W skarn deposits in Canada are part of the same metallogenic event (e.g., Mactung, Cantung). In this paper, we present an assessment for undiscovered W skarn resources for parts of the lesser-explored western (Alaskan) portion of the YTU.</span></p><p id=\"sp1130\"><span>We used GIS proximity analysis to map the intersection of&nbsp;pluton&nbsp;and carbonate-bearing rocks to define three permissive tracts for W skarn deposits. The permissive tracts were qualitatively assessed by mineral potential mapping using region-wide sediment&nbsp;geochemistry&nbsp;and mineral concentrate datasets. This analysis showed that much of the western YTU has high potential for undiscovered W skarn deposits, whereas the eastern and southern YTU had only isolated areas of medium to high potential. Historical production and the quality of the geochemistry data of the western YTU tract (ca. 9200 km</span><sup>2</sup><span>) permitted a quantitative assessment of undiscovered W resources. Probabilistic estimates by a panel of 20 experts predicted a 70% chance of one to three undiscovered W skarn deposits in the western YTU tract. The rationale for favorability employed by the expert panel included favorable&nbsp;lithology, previous production, clustering of previously mined deposits, W placers in the area, lack of recent exploration, pan concentrates containing W minerals, and W geochemical anomalies. Estimates were combined with a global grade and tonnage model for W skarns in a Monte Carlo simulation and provided a median estimate of undiscovered resources of 94 kt WO</span><sub>3</sub>. If the undiscovered W skarn deposits are located close to infrastructure (e.g., near Fairbanks, or close to roads and/or power grid), application of an economic filter indicates that the median total economically recoverable WO<sub>3</sub><span>&nbsp;</span>is 63 kt with a net present value (NPV) of $330 million USD (2008 dollars). Whereas if deposits are far from infrastructure, median recoverable WO<sub>3</sub><span>&nbsp;</span>is only 30 kt and the NPV is $44 million.</p><p id=\"sp2130\">Our models for contained WO<sub>3</sub><span>&nbsp;resources and NPV estimates for the western YTU tract are considerably lower than the known resources in skarns in adjacent areas in Canada. Estimates for the western YTU are also lower than preliminary estimates for undiscovered W skarn deposits in areas of the western conterminous United States. We speculate that lower permeability and continuity of favorable&nbsp;carbonate rock&nbsp;horizons in the relatively higher-grade metamorphic country rocks in the Alaska portion of the YTU may explain some of the differences in prospectivity. More detailed geologic mapping, modern geochemistry, and&nbsp;geophysical surveys&nbsp;are needed to refine the resource potential of the whole YTU. Regardless, quantitative&nbsp;mineral resource&nbsp;assessment provides a useful tool for making first-order regional estimates of undiscovered resources, identifying target areas for new data acquisition, and guiding research on the fundamental controls of district-scale metallogenic endowments.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2020.106700","usgsCitation":"Case, G.N., Graham, G.E., Marsh, E.E., Taylor, R., Green, C.J., Brown, P.J., and Labay, K.A., 2022, Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment: Journal of Geochemical Exploration, v. 232, 106700, 21 p., https://doi.org/10.1016/j.gexplo.2020.106700.","productDescription":"106700, 21 p.","ipdsId":"IP-119358","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":449855,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2020.106700","text":"Publisher Index Page"},{"id":436068,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TDKQE4","text":"USGS data release","linkHelpText":"Qualitative Mineral Potential Map of Tungsten Skarn in the Yukon-Tanana Uplands, Eastern Alaska, USA, 2021"},{"id":390107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.3359375,\n              63.35212928507874\n            ],\n            [\n              -141.240234375,\n              63.35212928507874\n            ],\n            [\n              -141.240234375,\n              67.23806155909902\n            ],\n            [\n              -154.3359375,\n              67.23806155909902\n            ],\n            [\n              -154.3359375,\n              63.35212928507874\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"232","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":824473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, Erin E. 0000-0001-5245-9532 emarsh@usgs.gov","orcid":"https://orcid.org/0000-0001-5245-9532","contributorId":1250,"corporation":false,"usgs":true,"family":"Marsh","given":"Erin","email":"emarsh@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Ryan D. 0000-0002-8845-5290","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":201948,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Carlin J. 0000-0002-6557-6268 cjgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6557-6268","contributorId":193013,"corporation":false,"usgs":true,"family":"Green","given":"Carlin","email":"cjgreen@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Philip J. 0000-0002-2415-7462 pbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-2415-7462","contributorId":759,"corporation":false,"usgs":true,"family":"Brown","given":"Philip","email":"pbrown@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":824477,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":217714,"corporation":false,"usgs":true,"family":"Labay","given":"Keith","email":"klabay@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":824478,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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":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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":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":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    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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 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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":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":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":818565,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70224463,"text":"ofr20211093 - 2021 - Hydrogeologic framework, water levels, and selected contaminant concentrations at Valmont TCE Superfund Site, Luzerne County, Pennsylvania, 2020","interactions":[],"lastModifiedDate":"2026-03-25T17:39:09.333201","indexId":"ofr20211093","displayToPublicDate":"2022-08-09T07:20:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1093","displayTitle":"Hydrogeologic Framework, Water Levels, and Selected Contaminant Concentrations at Valmont TCE Superfund Site, Luzerne County, Pennsylvania, 2020","title":"Hydrogeologic framework, water levels, and selected contaminant concentrations at Valmont TCE Superfund Site, Luzerne County, Pennsylvania, 2020","docAbstract":"<p>The Valmont TCE Superfund Site, Luzerne County, Pennsylvania is underlain by fractured and folded sandstones and shales of the Pottsville and Mauch Chunk Formations, which form a fractured-rock aquifer recharged locally by precipitation. Industrial activities at the former Chromatex Plant resulted in trichloroethene (TCE) contamination of groundwater at and near the facility, which was identified in 1987 and led to listing as a Superfund site by the U.S. Environmental Protection Agency (EPA) in 1989. To address the problem of TCE concentrations in nearby residential wells that exceed the maximum contaminant level (MCL) of 5 micrograms per liter (μg/L), alternate water supplies were provided. A 2015 review of initial characterization and subsequent remediation by the EPA identified the need for an updated understanding of the complex hydrogeology and the conceptual site model. Additional contaminants present in groundwater at the site include some other volatile organic compounds (VOCs) and per- and polyfluoroalkyl substances (PFAS), predominantly consisting of perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) present in concentrations that exceeded the EPA Health Advisory (HA) level of 5 nanograms per liter (ng/L) for combined PFOA and PFOS.</p><p>In response to a request from the EPA in 2019, the U.S. Geological Survey (USGS) prepared cross sections and maps to provide more information about the hydrogeologic framework at and near the site and assist in improving the conceptual site model using water level and contaminant data collected by the EPA in 2020. The cross sections present lithologic correlations from available geophysical logs collected in wells from 2002 to 2014; they show alternating intervals of relatively elevated and reduced natural gamma activity that correspond to changes in lithology, with water-bearing zones and well screens commonly located at lithologic contacts, sometimes near thin coal seams. Water-bearing zones commonly are associated with fractures at or near lithologic contacts but also may be associated with fractures at or near apparent faulting. Recent (March 2020) water-level data shown on cross sections and maps indicate large downward vertical gradients and apparent radial gradients laterally to the northeast, northwest, and southwest that generally following topography. Recent (February to March 2020) data for TCE groundwater concentration shown on cross sections and maps indicate the highest TCE concentrations (greater than 3,000 μg/L and as much as 75,000 μg/L) and combined PFOA and PFOS concentrations (greater than 1,000 ng/L and up to at least 2,350 ng/L) are from shallow (less than 60 feet [ft] below land surface [bls]) and intermediate depth (60 to 100 ft bls) wells near the center of the former Chromatex Plant. TCE and PFAS (as combined PFOA and PFOS) contamination is present at greater depths, as much as 304 ft bls, as evidenced by samples collected from one well (a reconstructed former production well) near the plant, that contained concentrations of about 240 μg/L and 508 ng/L, respectively. The 2020 data also indicate that TCE and PFAS concentrations which exceed drinking-water MCL or HA levels are present in groundwater depths of less than 200 ft in an area that extends predominantly in a northeast direction from the former Chromatex Plant, and is apparently influenced by hydraulic gradients, lithology, and geologic structure.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211093","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Senior, L.A., Fiore, A.R., and Bird, P.H., 2021, Hydrogeologic framework, water levels, and selected contaminant concentrations at Valmont TCE Superfund Site, Luzerne County, Pennsylvania, 2020 (ver. 1.1, August 2022): U.S. Geological Survey Open-File Report 2021–1093, 80 p., https://doi.org/10.3133/ofr20211093.","productDescription":"Report: xii, 80 p.; 17 Plates: 17.00 x 11.00 inches or 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2020"},{"id":389682,"rank":15,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2021/1093/ofr20211093_plate13.pdf","text":"Plate 13","size":"0.99 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Section B-Bʹ with generalized potentiometric surfaces and trichloroethene concentrations, Valmont TCE Superfund Site, Luzerne County, Pennsylvania, February-March 2020"}],"country":"United States","state":"Pennsylvania","county":"Luzerne 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1.0: September 30, 2021; Version 1.1: August 9, 2022","contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/pa-water\" data-mce-href=\"https://www.usgs.gov/centers/pa-water\">Pennsylvania Water Science Center</a><br>U.S. Geological Survey<br>215 Limekiln Road<br>New Cumberland, PA 17070-2424</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Setting</li><li>Hydrogeologic Framework, Water Levels, and Selected Contaminant Concentrations</li><li>Limitations and Data Gaps</li><li>Summary</li><li>References Cited</li><li>Appendix 1 Supplementary Geophysical Log Figures</li><li>Appendix 2 Supplementary Hydrologic Data</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-09-30","revisedDate":"2022-08-09","noUsgsAuthors":false,"publicationDate":"2021-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science 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,{"id":70231402,"text":"70231402 - 2021 - The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast","interactions":[],"lastModifiedDate":"2022-05-10T11:41:41.779579","indexId":"70231402","displayToPublicDate":"2022-05-05T06:39:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast","docAbstract":"<p>Diminishing sea ice is impacting the wave field across the Arctic region. Recent observation- and model-based studies highlight the spatiotemporal influence of sea ice on offshore wave climatologies, but effects within the nearshore region are still poorly described. This study characterizes the wave climate in the central Beaufort Sea coast from 1979 to 2019 by utilizing a wave hindcast model that uses ERA5 winds, waves, and ice concentrations as input. The spectral wave model SWAN (Simulating Waves Nearshore) is calibrated and validated based on more than 10 000 in situ time point measurements collected over a 13-year time period across the region, with friction variations and empirical coefficients for newly implemented empirical ice formulations for the open-water and shoulder seasons. Model results and trends are analyzed over the 41-year time period using the non-parametric Mann–Kendall test, including an estimate of Sen's slope. The model results show that the reduction in sea ice concentration correlates strongly with increases in average and extreme wave conditions. In particular, the open-water season extended by ∼96 d over the 41-year time period (∼2.4 d yr−1), resulting in a 5-fold increase in the yearly cumulative wave power. Moreover, the open-water season extends later into the year, resulting in relatively more open-water conditions during fall storms with high wind speeds. The later freeze-up results in an increase in the annual offshore median wave heights of 1 % yr−1 and an increase in the average number of rough wave days (defined as days when maximum wave heights exceed 2.5 m) from 1.5 in 1979 to 13.1 d in 2019. Trends in the nearshore areas deviate from the patterns offshore. Model results indicate a saturation limit for high wave heights in the shallow areas of Foggy Island Bay. Similar patterns are found for yearly cumulative wave power.</p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-16-1609-2022","usgsCitation":"Nederhoff, C.M., Erikson, L.H., Engelstad, A.C., Bieniek, P.A., and Kasper, J., 2021, The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast: The Cryosphere, v. 16, p. 1609-1629, https://doi.org/10.5194/tc-16-1609-2022.","productDescription":"21 p.","startPage":"1609","endPage":"1629","ipdsId":"IP-130100","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":449907,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-16-1609-2022","text":"Publisher Index Page"},{"id":400377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.4130859375,\n              68.92681148621786\n            ],\n            [\n              -141.1083984375,\n              68.92681148621786\n            ],\n            [\n              -141.1083984375,\n              71.10254274232307\n            ],\n            [\n              -153.4130859375,\n              71.10254274232307\n            ],\n            [\n              -153.4130859375,\n              68.92681148621786\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2022-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":842511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engelstad, Anita C 0000-0002-0211-4189","orcid":"https://orcid.org/0000-0002-0211-4189","contributorId":268303,"corporation":false,"usgs":true,"family":"Engelstad","given":"Anita","email":"","middleInitial":"C","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bieniek, Peter A.","contributorId":210907,"corporation":false,"usgs":false,"family":"Bieniek","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":842514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kasper, Jeremy L. 0000-0003-0975-6114","orcid":"https://orcid.org/0000-0003-0975-6114","contributorId":208630,"corporation":false,"usgs":false,"family":"Kasper","given":"Jeremy L.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":842515,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230006,"text":"70230006 - 2021 - Towards improving an Area of Concern: Main-channel habitat rehabilitation priorities for the Maumee River","interactions":[],"lastModifiedDate":"2022-03-23T13:44:44.222736","indexId":"70230006","displayToPublicDate":"2022-03-23T08:20:57","publicationYear":"2021","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":"Towards improving an Area of Concern: Main-channel habitat rehabilitation priorities for the Maumee River","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">The Maumee River watershed in the Laurentian Great Lakes Basin has been impacted by decades of pollution and habitat modification due to human settlement and development. As such, the lower 35&nbsp;km of the Maumee River and several smaller adjacent watersheds comprising over 2000&nbsp;km<sup>2</sup><span>&nbsp;were designated the Maumee Area of Concern (AOC) under the revised Great Lakes Water Quality Agreement in 1987. As part of pre-rehabilitation assessments in the Maumee AOC, we assessed fish and invertebrate communities in river km 24–11 of the Maumee River to identify: 1) areas that exhibit the highest biodiversity, 2) habitat characteristics associated with high biodiversity areas, 3) areas in need of protection from further degradation, and 4) areas that could feasibly be rehabilitated to increase biodiversity. Based on benthic trawl data, shallow water habitats surrounding large island complexes had the highest fish diversity and&nbsp;catch per unit effort&nbsp;(CPUE).&nbsp;Electrofishing&nbsp;displayed similar fish diversity and CPUE patterns across habitat types early in the study but yielded no discernable fish diversity or CPUE patterns towards the end of our study. Although highly variable among study sites,&nbsp;macroinvertebrate&nbsp;density was greatest in shallow water habitats &lt;2.5&nbsp;m and around large island complexes. Our results provide valuable baseline data that could act as a foundation for developing rehabilitation strategies in the lower Maumee River and for assessing the effectiveness of future aquatic habitat rehabilitation projects. In addition to increasing in-channel habitat, watershed-scale improvements of water quality might be necessary to ensure rehabilitation strategies are successful.</span></p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.08.001","usgsCitation":"Shane, K.D., Oubre, M.J., Crail, T.D., Miner, J., Mayer, C.M., Sasak, T.E., DeBruyne, R.L., Miller, J., Roseman, E., and Hintz, W.D., 2021, Towards improving an Area of Concern: Main-channel habitat rehabilitation priorities for the Maumee River: Journal of Great Lakes Research, v. 47, no. 5, p. 1429-1436, https://doi.org/10.1016/j.jglr.2021.08.001.","productDescription":"8 p.","startPage":"1429","endPage":"1436","ipdsId":"IP-128035","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":449910,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.08.001","text":"Publisher Index Page"},{"id":436073,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P968J0SQ","text":"USGS data release","linkHelpText":"Pre-rehabilitation Biological Assessment of the Lower Maumee River, Ohio, 2019"},{"id":397450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Audubon Islands, Clark Island, Corbutt Island, Delaware/Horseshoe Complex, Grassy Island, Marengo Island, Maumee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.68097305297852,\n              41.542890979671085\n            ],\n            [\n              -83.67822647094725,\n              41.539550372172926\n            ],\n            [\n              -83.6195182800293,\n              41.55496712080976\n            ],\n            [\n              -83.57711791992188,\n              41.573077102858136\n            ],\n            [\n              -83.57831954956055,\n              41.5922090855108\n            ],\n            [\n              -83.55566024780273,\n              41.60568795028221\n            ],\n            [\n              -83.54227066040039,\n              41.62031895877235\n            ],\n            [\n              -83.5426139831543,\n              41.630969271956126\n            ],\n            [\n              -83.5762596130371,\n              41.62827478065122\n            ],\n            [\n              -83.59445571899414,\n              41.61852234700827\n            ],\n            [\n              -83.59634399414061,\n              41.61210546784207\n            ],\n            [\n              -83.60115051269531,\n              41.60209386160467\n            ],\n            [\n              -83.61145019531249,\n              41.59246585209231\n            ],\n            [\n              -83.6195182800293,\n              41.57590231604443\n            ],\n            [\n              -83.63908767700194,\n              41.57654439271643\n            ],\n            [\n              -83.64887237548828,\n              41.57256341445687\n            ],\n            [\n              -83.65007400512695,\n              41.56524291087755\n            ],\n            [\n              -83.66294860839844,\n              41.561132790922635\n            ],\n            [\n              -83.671875,\n              41.56203190200195\n            ],\n            [\n              -83.68595123291016,\n              41.55342561137423\n            ],\n            [\n              -83.68097305297852,\n              41.542890979671085\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shane, Keith D.","contributorId":289155,"corporation":false,"usgs":false,"family":"Shane","given":"Keith","email":"","middleInitial":"D.","affiliations":[{"id":62060,"text":"Department of Environmental Sciences and Lake Erie Center, The University of Toledo 6200 Bay Shore Rd., Oregon OH 43616","active":true,"usgs":false}],"preferred":false,"id":838628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oubre, Melissa J.","contributorId":289156,"corporation":false,"usgs":false,"family":"Oubre","given":"Melissa","email":"","middleInitial":"J.","affiliations":[{"id":62061,"text":"Department of Biological Sciences, Bowling Green State University, Life Sciences Building, N. 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