{"pageNumber":"237","pageRowStart":"5900","pageSize":"25","recordCount":41062,"records":[{"id":70222952,"text":"70222952 - 2021 - Late Pleistocene baldcypress (Taxodium distichum) forest deposit on the continental shelf of the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2021-08-10T13:45:44.888124","indexId":"70222952","displayToPublicDate":"2021-05-03T08:40:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1068,"text":"Boreas","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Late Pleistocene baldcypress (<i>Taxodium distichum</i>) forest deposit on the continental shelf of the northern Gulf of Mexico","title":"Late Pleistocene baldcypress (Taxodium distichum) forest deposit on the continental shelf of the northern Gulf of Mexico","docAbstract":"<p><span>Approximately 13&nbsp;km south of Gulf Shores, Alabama (United States), divers found&nbsp;</span><i>in situ</i><span>&nbsp;baldcypress (</span><i>Taxodium distichum</i><span>) stumps 18&nbsp;m below the ocean surface. These trees could have only lived when sea level fell during the Pleistocene subaerially exposing the tectonically stable continental shelf. Here we investigate the geophysical properties along with microfossil and stratigraphical analyses of sediment cores to understand the factors that lead to this wood’s preservation. The stumps are exposed in an elongated depression (~100&nbsp;m long, ~1&nbsp;m deep) nested in a trough of the northwest–southeast trending Holocene sand ridges and troughs with 2–5&nbsp;m vertical relief and ~0.5&nbsp;km wavelength. Radiocarbon ages of the wood were infinite thus optically stimulated luminescence (OSL) dating was used to constrain the site’s age. Below the Holocene sands (~0.1–4&nbsp;m thick), separated by a regional erosional unconformity, are Late Pleistocene mud-peat (72±8&nbsp;ka OSL), mud-sand (63±5, 73±6&nbsp;ka OSL), and palaeosol (56±5&nbsp;ka OSL) facies that grade laterally from west to east, respectively. Foraminiferal analysis reveals the location of the terrestrial-marine transitional layer above the Pleistocene facies in an interbedded sand and mud facies (3940±30 (1σ)&nbsp;</span><sup>14</sup><span>C a BP), which is part of a lower shoreface or marine-dominated estuarine environment. The occurrence of palaeosol and swamp facies of broadly similar ages and elevation suggests the glacial landscape possessed topographic relief that allowed wood, mud and peats to be preserved for ~50&nbsp;ka of subaerial exposure before transitioning to the modern marine environment. We hypothesize that rapid sea-level rise occurring ~60 or ~40&nbsp;ka ago provided opportunities for local flood-plain aggradation to bury the swamp thus preserving the stumps and that other sites may exist in the northern Gulf of Mexico shelf.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/bor.12524","usgsCitation":"DeLong, K., Gonzalez, S., Obelcz, J., Truong, J.T., Bentley, S.J., Xu, K., Reese, C.A., Harley, G.L., Caporaso, A., Shen, Z., and Middleton, B., 2021, Late Pleistocene baldcypress (Taxodium distichum) forest deposit on the continental shelf of the northern Gulf of Mexico: Boreas, v. 50, no. 3, p. 871-892, https://doi.org/10.1111/bor.12524.","productDescription":"22 p.","startPage":"871","endPage":"892","ipdsId":"IP-109473","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":452440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.lsu.edu/geo_pubs/1946","text":"Publisher Index Page"},{"id":387806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi","otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.38427734374999,\n              27.0982539061379\n            ],\n            [\n              -84.19921875,\n              27.0982539061379\n            ],\n            [\n              -84.19921875,\n              31.034108344903512\n            ],\n            [\n              -91.38427734374999,\n              31.034108344903512\n            ],\n            [\n              -91.38427734374999,\n              27.0982539061379\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"DeLong, Kristine L.","contributorId":263459,"corporation":false,"usgs":false,"family":"DeLong","given":"Kristine L.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":820886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Suyapa","contributorId":263462,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Suyapa","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":820887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obelcz, Jeffrey B.","contributorId":263465,"corporation":false,"usgs":false,"family":"Obelcz","given":"Jeffrey B.","affiliations":[{"id":53993,"text":"U.S. Naval Research Lab, Stennis Space Center","active":true,"usgs":false}],"preferred":false,"id":820888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Truong, Jonathan T.","contributorId":263466,"corporation":false,"usgs":false,"family":"Truong","given":"Jonathan","email":"","middleInitial":"T.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":820889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bentley, Samuel J. Sr.","contributorId":263467,"corporation":false,"usgs":false,"family":"Bentley","given":"Samuel","suffix":"Sr.","email":"","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":820890,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, Kehui","contributorId":223696,"corporation":false,"usgs":false,"family":"Xu","given":"Kehui","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":820891,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reese, Carl A.","contributorId":263468,"corporation":false,"usgs":false,"family":"Reese","given":"Carl","email":"","middleInitial":"A.","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":820892,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harley, Grant L.","contributorId":204186,"corporation":false,"usgs":false,"family":"Harley","given":"Grant","email":"","middleInitial":"L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":820893,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caporaso, Alicia","contributorId":263469,"corporation":false,"usgs":false,"family":"Caporaso","given":"Alicia","email":"","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":820894,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shen, Zhixiong","contributorId":263470,"corporation":false,"usgs":false,"family":"Shen","given":"Zhixiong","email":"","affiliations":[{"id":24750,"text":"Coastal Carolina University","active":true,"usgs":false}],"preferred":false,"id":820895,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206922,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820896,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70221398,"text":"70221398 - 2021 - Refining the coarse filter approach: Using habitat-based species models to identify rarity and vulnerabilities in the protection of U.S. biodiversity","interactions":[],"lastModifiedDate":"2021-06-15T10:28:49.88002","indexId":"70221398","displayToPublicDate":"2021-05-03T07:59:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Refining the coarse filter approach: Using habitat-based species models to identify rarity and vulnerabilities in the protection of U.S. biodiversity","docAbstract":"<p><span>Preserving biodiversity and its many components is a priority of conservation science and how to efficiently allocate resources to preserve healthy populations of as many species, habitats, and ecosystems as possible. We used the&nbsp;U.S.&nbsp;Geological Survey (USGS) Gap Analysis Project (GAP) species models released in 2018, which identify predicted habitats for terrestrial&nbsp;vertebrates&nbsp;in the conterminous United States, to illustrate hotspots of biodiversity for the major taxonomic groups. This collection represents the first complete compilation of terrestrial vertebrate species models for the conterminous United States (U.S. Geological Survey (USGS), 2018a). We used the species models but not the available&nbsp;</span>subspecies<span>&nbsp;models; this resulted in the inclusion of 282 amphibian models, 621 bird models, 365 mammal models, and 322 reptiles in our analysis. We also used population trend information and made spatial queries to characterize species in three dimensions: geographic range (small or large), habitat breadth (narrow or wide), and population trend (decreasing vs stable or increasing). This characterization allowed us to divide the species into eight groups (A-H) with similar characteristics. Group A species (large geographic range, wide habitat breadth, and stable or increasing population trend) are species that are common now with no indication of becoming rare. Species B-H have theoretical or known characteristics that could lead them to become rare with the H species exhibiting small geographic range, narrow habitat breadth, and decreasing population trend. Finally, we evaluated the prevalence of mapped habitat on protected lands for each species, exploring the patterns of representation in the rare species groups by&nbsp;ecoregion. The species we identified with population and habitat use characteristics that potentially predispose them to being or becoming rare represented a large percentage of each taxon. Potentially rare species were widely distributed among ecoregions. Of the 20 ecoregions in the country, 14 have a greater number of rare species than the national average for at least one taxon. Protection of the habitat for the majority of these rare species is below that recommended (17% of available habitat) by the Convention on Biological Diversity (CBD). The Everglades ecoregion was the only ecoregion that protected more than half of its rare or potentially rare species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2021.e01598","usgsCitation":"Davidson, A., Dunn, L., Gergely, K., McKerrow, A., Williams, S.G., and Case, M., 2021, Refining the coarse filter approach: Using habitat-based species models to identify rarity and vulnerabilities in the protection of U.S. biodiversity: Global Ecology and Conservation, v. 28, e01598, 19 p., https://doi.org/10.1016/j.gecco.2021.e01598.","productDescription":"e01598, 19 p.","ipdsId":"IP-101927","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":452441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2021.e01598","text":"Publisher Index Page"},{"id":386468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -127.61718749999999,\n              25.16517336866393\n            ],\n            [\n              -63.984375,\n              25.16517336866393\n            ],\n            [\n              -63.984375,\n              51.83577752045248\n            ],\n            [\n              -127.61718749999999,\n              51.83577752045248\n            ],\n            [\n              -127.61718749999999,\n              25.16517336866393\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davidson, Anne","contributorId":197967,"corporation":false,"usgs":false,"family":"Davidson","given":"Anne","email":"","affiliations":[],"preferred":false,"id":817517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunn, Leah","contributorId":217944,"corporation":false,"usgs":false,"family":"Dunn","given":"Leah","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":817518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gergely, Kevin 0000-0002-4379-2189","orcid":"https://orcid.org/0000-0002-4379-2189","contributorId":208371,"corporation":false,"usgs":true,"family":"Gergely","given":"Kevin","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":817519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":817520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Steven G. 0000-0003-3760-6818","orcid":"https://orcid.org/0000-0003-3760-6818","contributorId":215501,"corporation":false,"usgs":false,"family":"Williams","given":"Steven","email":"","middleInitial":"G.","affiliations":[{"id":39268,"text":"North Carolina State University, NC Cooperative Fish & Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":817521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Case, Mackenzie 0000-0002-5657-9133","orcid":"https://orcid.org/0000-0002-5657-9133","contributorId":260200,"corporation":false,"usgs":false,"family":"Case","given":"Mackenzie","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":817522,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223682,"text":"70223682 - 2021 - Horizontal-to-vertical spectral ratios from California sites: Open-source database and data interpretation to establish site parameters","interactions":[],"lastModifiedDate":"2021-09-01T12:51:44.044038","indexId":"70223682","displayToPublicDate":"2021-05-03T07:46:33","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Horizontal-to-vertical spectral ratios from California sites: Open-source database and data interpretation to establish site parameters","docAbstract":"<p class=\"\">Frequency-dependent horizontal-to-vertical spectral ratios (HVSR) of Fourier amplitudes from three-component recordings can provide information on one or more site resonant frequencies and relative levels of amplification at those frequencies. Such information is potentially useful for predicting site amplification but is not present in site databases that have been developed over the last 15–20 years for the Next-Generation Attenuation (NGA) projects, which instead use the time-averaged shear-wave velocity (VS) in the upper 30 m of the site (VS30) as the primary site parameter and are supplemented with basin depth terms where available. As a consequence, HVSR parameters are also not used in NGA ground motion models.</p><p class=\"\">In order for HVSR-based parameters to be used in future versions of site databases, a publicly accessible repository of this information is needed. We adapt a relational database developed to archive and disseminate VS data to also include HVSR. The database provides relevant microtremor-based HVSR data (mHVSR) and supporting metadata. We consider the most relevant data to be the frequency-dependent mHVSR, where the horizontal is taken as the median component and also as a function of horizontal azimuth (referred to as polar plots). Relevant metadata includes site location information, details about the equipment used to make the measurements, and processing details related to windowing, anti-trigger routines, and filtering. We describe the database schema developed to organize and present this information.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"GIRS 2021-06","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"California Geological Survey","doi":"10.34948/N3KW20","usgsCitation":"Wang, P., Zimmaro, P., Gospe, T., Ahdi, S.K., Yong, A., and Stewart, J.P., 2021, Horizontal-to-vertical spectral ratios from California sites: Open-source database and data interpretation to establish site parameters, xi, 64 p., https://doi.org/10.34948/N3KW20.","productDescription":"xi, 64 p.","ipdsId":"IP-128357","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":388720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Pengfei","contributorId":217351,"corporation":false,"usgs":false,"family":"Wang","given":"Pengfei","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":822308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmaro, Paolo","contributorId":219068,"corporation":false,"usgs":false,"family":"Zimmaro","given":"Paolo","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":822309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gospe, Tatiana","contributorId":265142,"corporation":false,"usgs":false,"family":"Gospe","given":"Tatiana","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":822310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahdi, Sean Kamran 0000-0003-0274-5180","orcid":"https://orcid.org/0000-0003-0274-5180","contributorId":265143,"corporation":false,"usgs":true,"family":"Ahdi","given":"Sean","email":"","middleInitial":"Kamran","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":822311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yong, Alan 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":204730,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":822312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Jonathan P.","contributorId":100110,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":822313,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70220341,"text":"70220341 - 2021 - Anthropogenic edge effects in habitat selection by sun bears in a protected area","interactions":[],"lastModifiedDate":"2021-05-06T12:35:39.45181","indexId":"70220341","displayToPublicDate":"2021-05-03T07:27:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic edge effects in habitat selection by sun bears in a protected area","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Wildlife populations in southeast Asia are increasingly experiencing a broad array of anthropogenic threats, and mammalian carnivores are particularly vulnerable. Populations of the Malayan sun bear<span>&nbsp;</span><i>Helarctos malayanus</i><span>&nbsp;</span>are estimated to have declined by 30% over the last 30 years from forest conversion to industrial plantations and mortality associated with human–bear conflicts and illegal wildlife trade. However, the effects of industrial plantations on habitat selection and activity patterns of mammals that live at the protected area-plantation interface, including sun bears, are not well known. We investigated habitat selection and activity patterns of sun bears in Tabin Wildlife Reserve in Sabah, Malaysia. We deployed 83 remote camera sites to record sun bear detections during two sampling periods (2012–2013 and 2017). We used generalized linear models to examine relationships between sun bear presence and site covariates representing physical, environmental and anthropogenic elements of the landscape. Relative probability of sun bear presence was positively associated with distance to roads and elevation. Because most roads were on the reserve boundary and often associated with oil palm plantations, proximity to roads likely served as a surrogate measure of human accessibility and activity in peripheral areas of the reserve. Supporting that interpretation, sun bears close to the reserve boundary were primarily active at night, whereas daytime activity was more common for bears in the interior. Our findings indicate that sun bears alter behaviour and habitat selection likely in response to anthropogenic activities at the edges of Tabin Wildlife Reserve (112 200 ha). Because the ratio of edge to interior increases steeply with declining habitat area, smaller protected areas bordered by plantations are predicted to have greater impacts on sun bear behaviour and, potentially, population persistence. Effective conservation actions may benefit from management to improve the security of edge habitats for sun bears and other vulnerable species.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.2981/wlb.00776","usgsCitation":"Tee, T., van Manen, F.T., Kretzschmar, P., Sharp, S.P., Wong, S.T., Gadas, S., and Ratnayeke, S., 2021, Anthropogenic edge effects in habitat selection by sun bears in a protected area: Wildlife Biology, v. 2, wlb.00776, 12 p., https://doi.org/10.2981/wlb.00776.","productDescription":"wlb.00776, 12 p.","ipdsId":"IP-119797","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":452447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00776","text":"Publisher Index Page"},{"id":385472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Malaysia","otherGeospatial":"Tabin Wildlife Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              118.09478759765625,\n              4.8036277791704\n            ],\n            [\n              119.11651611328124,\n              4.8036277791704\n            ],\n            [\n              119.11651611328124,\n              5.473831889192798\n            ],\n            [\n              118.09478759765625,\n              5.473831889192798\n            ],\n            [\n              118.09478759765625,\n              4.8036277791704\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tee, T. L","contributorId":257897,"corporation":false,"usgs":false,"family":"Tee","given":"T. L","affiliations":[{"id":52167,"text":"Sunway University, Malaysia","active":true,"usgs":false}],"preferred":false,"id":815229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":815230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kretzschmar, P.","contributorId":257898,"corporation":false,"usgs":false,"family":"Kretzschmar","given":"P.","email":"","affiliations":[{"id":40817,"text":"Leibniz Institute for Zoo and Wildlife Research, Germany","active":true,"usgs":false}],"preferred":false,"id":815231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharp, S. P.","contributorId":257899,"corporation":false,"usgs":false,"family":"Sharp","given":"S.","email":"","middleInitial":"P.","affiliations":[{"id":52168,"text":"Lancaster University, UK","active":true,"usgs":false}],"preferred":false,"id":815232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wong, S. T.","contributorId":257900,"corporation":false,"usgs":false,"family":"Wong","given":"S.","email":"","middleInitial":"T.","affiliations":[{"id":52170,"text":"Bornean Sun Bear Conservation Centre, Sabah, Malaysia","active":true,"usgs":false}],"preferred":false,"id":815233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gadas, S.","contributorId":257901,"corporation":false,"usgs":false,"family":"Gadas","given":"S.","email":"","affiliations":[{"id":52171,"text":"Sabah Wildlife Department, Sabah, Malaysia","active":true,"usgs":false}],"preferred":false,"id":815234,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ratnayeke, S.","contributorId":257902,"corporation":false,"usgs":false,"family":"Ratnayeke","given":"S.","affiliations":[{"id":52167,"text":"Sunway University, Malaysia","active":true,"usgs":false}],"preferred":false,"id":815235,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256215,"text":"70256215 - 2021 - Constraints on deep, CO2-rich degassing at arc volcanoes from solubility experiments on hydrous basaltic andesite of Pavlof Volcano, Alaska Peninsula, at 300 to 1200 MPa","interactions":[],"lastModifiedDate":"2024-07-29T15:34:20.353523","indexId":"70256215","displayToPublicDate":"2021-05-01T10:15:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Constraints on deep, CO<sub>2</sub>-rich degassing at arc volcanoes from solubility experiments on hydrous basaltic andesite of Pavlof Volcano, Alaska Peninsula, at 300 to 1200 MPa","title":"Constraints on deep, CO2-rich degassing at arc volcanoes from solubility experiments on hydrous basaltic andesite of Pavlof Volcano, Alaska Peninsula, at 300 to 1200 MPa","docAbstract":"<p>The solubility of CO<sub>2</sub><span>&nbsp;</span>in hydrous basaltic andesite was examined in<span>&nbsp;</span><i>f</i><sub>O2</sub>-controlled experiments at a temperature of 1125 °C and pressures between 310–1200 MPa. Concentrations of dissolved H<sub>2</sub>O and CO<sub>2</sub><span>&nbsp;</span>in experimental glasses were determined by ion microprobe calibrated on a subset of run glasses analyzed by high-temperature vacuum manometry. Assuming that the solubility of H<sub>2</sub>O in mafic melt is relatively well known, estimates of<span>&nbsp;</span><span class=\"inline-formula no-formula-id\">\uD835\uDC4BH2Ofluid</span><span>&nbsp;</span>and<span>&nbsp;</span><span class=\"inline-formula no-formula-id\">\uD835\uDC43H2Ofluid</span><span>&nbsp;</span>in the saturating fluid were modeled, and by difference, values for<span>&nbsp;</span><span class=\"inline-formula no-formula-id\">\uD835\uDC4BCO2fluid</span><span>&nbsp;</span>and<span>&nbsp;</span><span class=\"inline-formula no-formula-id\">\uD835\uDC43CO2fluid</span><span>&nbsp;</span>were obtained (<i>X</i><sub>CO2</sub><span>&nbsp;</span>~0.5–0.9);<span>&nbsp;</span><i>f</i><sub>CO2</sub><span>&nbsp;</span>could be then calculated from the fluid composition, temperature, and pressure.</p><p>Dissolved H<sub>2</sub>O over a range of 2.3–5.5 wt% had no unequivocal influence on the dissolution of CO<sub>2</sub><span>&nbsp;</span>at the pressures and fluid compositions examined. For these H<sub>2</sub>O concentrations, dissolved CO<sub>2</sub><span>&nbsp;</span>increases with<span>&nbsp;</span><i>f</i><sub>CO2</sub><span>&nbsp;</span>following an empirical power-law relation: dissolved CO<sub>2</sub><span>&nbsp;</span>(ppmw) =<span>&nbsp;</span><span class=\"inline-formula no-formula-id\">14.9−3.5+4.5</span>[<i>f</i><sub>CO2</sub><span>&nbsp;</span>(MPa)]<sup>0.7±0.03</sup>. The highest-pressure results plot farthest from this equation but are within its 1 standard-error uncertainty envelope.</p><p>We compare our experimental data with three recent CO<sub>2</sub>-H<sub>2</sub>O solubility models:<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"B46\">Papale et al. (2006)</a>;<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"B26\">Iacono-Marziano et al. (2012)</a>; and<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"B21\">Ghiorso and Gualda (2015)</a>. The<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"B46\">Papale et al. (2006)</a><span>&nbsp;</span>and<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"B26\">Iacono-Marizano et al. (2012)</a><span>&nbsp;</span>models give similar results, both over-predicting the solubility of CO<sub>2</sub><span>&nbsp;</span>in a melt of the Pavlof basaltic andesite composition across the<span>&nbsp;</span><i>f</i><sub>CO2</sub><span>&nbsp;</span>range, whereas the<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"B21\">Ghiorso and Gualda (2015)</a><span>&nbsp;</span>model under-predicts CO<sub>2</sub><span>&nbsp;</span>solubility. All three solubility models would indicate a strong enhancement of CO<sub>2</sub><span>&nbsp;</span>solubility with increasing dissolved H<sub>2</sub>O not apparent in our results. We also examine our results in the context of previous high-pressure CO<sub>2</sub><span>&nbsp;</span>solubility experiments on basaltic melts. Dissolved CO<sub>2</sub><span>&nbsp;</span>correlates positively with mole fraction (Na+K+Ca)/Al across a compositional spectrum of trachybasalt-alkali basalt-tholeiite-icelandite-basaltic andesite. Shortcomings of current solubility models for a widespread arc magma type indicate that our understanding of degassing in the deep crust and uppermost mantle remains semi-quantitative. Experimental studies systematically varying concentrations of melt components (Mg, Ca, Na, K, Al, Si) may be necessary to identify solubility reactions, quantify their equilibrium constants, and thereby build an accurate and generally applicable solubility model.</p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2021-7531","usgsCitation":"Mangan, M., Sisson, T.W., Hankins, W., Shimizu, N., and Vennemann, T.W., 2021, Constraints on deep, CO2-rich degassing at arc volcanoes from solubility experiments on hydrous basaltic andesite of Pavlof Volcano, Alaska Peninsula, at 300 to 1200 MPa: American Mineralogist, v. 106, no. 5, p. 762-773, https://doi.org/10.2138/am-2021-7531.","productDescription":"12 p.","startPage":"762","endPage":"773","ipdsId":"IP-114111","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":431567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Pavlov Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -162.06884587926007,\n              55.51723314455435\n            ],\n            [\n              -162.06884587926007,\n              55.30017649761001\n            ],\n            [\n              -161.7326394583513,\n              55.30017649761001\n            ],\n            [\n              -161.7326394583513,\n              55.51723314455435\n            ],\n            [\n              -162.06884587926007,\n              55.51723314455435\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"106","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mangan, Margaret","contributorId":340414,"corporation":false,"usgs":false,"family":"Mangan","given":"Margaret","affiliations":[{"id":81605,"text":"USGS retiree, no present affiliation","active":true,"usgs":false}],"preferred":false,"id":907121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":907122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hankins, W. Ben 0000-0001-9881-9468","orcid":"https://orcid.org/0000-0001-9881-9468","contributorId":28618,"corporation":false,"usgs":true,"family":"Hankins","given":"W. Ben","affiliations":[],"preferred":true,"id":907123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimizu, Nobumichi","contributorId":177010,"corporation":false,"usgs":false,"family":"Shimizu","given":"Nobumichi","email":"","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":907124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vennemann, Torsten W.","contributorId":190168,"corporation":false,"usgs":false,"family":"Vennemann","given":"Torsten","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":907125,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70220240,"text":"70220240 - 2021 - Sedex hydrothermal systems triggered upheavals to marine chemistry and mass extinctions: Applications for ore genesis research and mineral exploration","interactions":[],"lastModifiedDate":"2024-02-20T15:45:36.307468","indexId":"70220240","displayToPublicDate":"2021-05-01T09:37:12","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":17165,"text":"Geological Society of Nevada Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Sedex hydrothermal systems triggered upheavals to marine chemistry and mass extinctions: Applications for ore genesis research and mineral exploration","docAbstract":"<p>New USGS research reveals that the discharge of metal-rich brine that formed sedex deposits on ancient seafloors had profound effects on global ocean chemistry and biologic evolution. For example, brine expulsion caused short-duration positive excursions (“spikes”) in the global marine Sr isotope record. While these spikes are unexplained by conventional oceanic models, our chronostratigraphic correlations of major sedex events, combined with mass balance evidence and oceanographic modeling, confirm that the flux of radiogenic Sr from sedex brines during ore formation was sufficient to cause these once enigmatic 87Sr/86Sr spikes. Recognition that the timing of peak <sup>87</sup>Sr/<sup>86</sup>Sr spikes correlates exactly with global δ<sup>13</sup>C (and δ<sup>18</sup>O) spikes, climate change, deposition of metal-rich black shales and ironstones, metal-induced malformation (teratology) of marine organisms, and mass extinctions, establishes a causal relationship between sedex deposits and these dramatic events in earth history. The relationships among these features are not fully understood. However, our new model demonstrates that the flux of key biolimiting nutrients and metals contained in sedex brines exceeds that of the total modern riverine flux to the ocean. Undoubtably, these immense nutrient fluxes spurred ocean eutrophication, which, ultimately, through a series of positive feedback mechanisms, may be a previously unrecognized trigger of global ocean anoxic events (OAEs) that produced these chemical and biological perturbations. A derivative result from this integrative research is the recognition that OAEs resulted in the formation of “bathtub rim” deposits at redox boundaries along continental margins that concentrated various redox sensitive critical minerals. For example, we have identified midcontinent phosphorite deposits that contains heavy REE grades and tonnages that rival any REE deposit in the world. </p><p>The recognition that sedex-forming fluid expulsion events are recorded in the global marine isotopic, geologic, and biological records, defines a new approach to the study of and exploration for sedex deposits. Traditional ore genesis research, coupled with chronostratigraphic correlation and high-resolution <sup>87</sup>Sr/<sup>86</sup>Sr isotope chemostratigraphy can be used to answer long-standing questions about geologic processes responsible for formation of these extraordinary deposits. This approach allows us to constrain, for the first time, the age, duration, and fluxes of fluids and metals vented into the ocean by these giant hydrothermal systems. Accordingly, the fact that large mineralizing events are recorded in the marine sedimentary record opens the tantalizing prospect that we have the ability to conduct effective resource assessments and define prospective basins anywhere in the world. This innovative approach allows for identification of favorable stratigraphic ages and basins and remote evaluation of the size (and, thus, the mineral potential) of undiscovered mineral deposits. This methodology could be applied on regional basin-wide assessments, to evaluate sedimentary basin prospectivity, resource favorability of specific horizons therein, and to the evaluation of the potential of early-stage prospects.</p>","language":"English","publisher":"Geological Society of Nevada","usgsCitation":"Emsbo, P., 2021, Sedex hydrothermal systems triggered upheavals to marine chemistry and mass extinctions: Applications for ore genesis research and mineral exploration: Geological Society of Nevada Newsletter, v. 37, no. 5.","productDescription":"1 p.","startPage":"3","ipdsId":"IP-129204","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":425795,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gsnv.org/information/newsletter-archive/"},{"id":425796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","edition":"May","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Emsbo, Poul 0000-0001-9421-201X pemsbo@usgs.gov","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":997,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","email":"pemsbo@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":814875,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70221141,"text":"70221141 - 2021 - Putting people first: Using social science to reduce risk","interactions":[],"lastModifiedDate":"2021-06-03T13:33:50.668126","indexId":"70221141","displayToPublicDate":"2021-05-01T08:29:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8920,"text":"Wildfire Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Putting people first: Using social science to reduce risk","docAbstract":"Wildland-urban interface residents, who occupy the areas where wildlands meet and mix with human development, are both contributors to and recipients of the disastrous effects of wildland fires. They contribute through fire starts, flammable homes, unmitigated properties, opposition to mitigation on nearby public lands, and land use planning efforts. We argue that successful, sustainable wildland fire solutions are only possible if the WUI residents are engaged. In this article, we describe an evidence-based quantitative social science model to illustrate how to put people at the center of wildland fire solutions. Our hope is to spur greater use of social science in evidence-based wildland fire programs.","language":"English","publisher":"International Association of Wildland Fire","usgsCitation":"Champ, P.A., Barth, C.M., Brenkert-Smith, H., Falk, L.C., Gomez, J., and Meldrum, J., 2021, Putting people first: Using social science to reduce risk: Wildfire Magazine, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-118653","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":386177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386164,"type":{"id":15,"text":"Index Page"},"url":"https://www.iawfonline.org/article/putting-people-first-using-social-science-to-reduce-risk/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":816835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Christopher M.","contributorId":195487,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":816836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":816837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falk, Lilia C.","contributorId":210655,"corporation":false,"usgs":false,"family":"Falk","given":"Lilia","email":"","middleInitial":"C.","affiliations":[{"id":38125,"text":"West Region Wildfire Council","active":true,"usgs":false}],"preferred":false,"id":816838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gomez, Jamie","contributorId":218078,"corporation":false,"usgs":false,"family":"Gomez","given":"Jamie","email":"","affiliations":[{"id":38125,"text":"West Region Wildfire Council","active":true,"usgs":false}],"preferred":false,"id":816839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":816840,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70224283,"text":"70224283 - 2021 - Habitat heterogeneity, temperature, and primary productivity drive elevational gradients in avian species diversity","interactions":[],"lastModifiedDate":"2021-09-20T13:03:59.742321","indexId":"70224283","displayToPublicDate":"2021-05-01T08:02:54","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Habitat heterogeneity, temperature, and primary productivity drive elevational gradients in avian species diversity","docAbstract":"<h3 id=\"ece37341-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Anticipating and mitigating the impacts of climate change on species diversity in montane ecosystems requires a mechanistic understanding of drivers of current patterns of diversity. We documented the shape of elevational gradients in avian species richness in North America and tested a suite of a priori predictions for each of five mechanistic hypotheses to explain those patterns.</p><h3 id=\"ece37341-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>United States</p><h3 id=\"ece37341-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We used predicted occupancy maps generated from species distribution models for each of 646 breeding birds to document elevational patterns in avian species richness across the six largest U.S. mountain ranges. We used spatially explicit biotic and abiotic data to test five mechanistic hypotheses proposed to explain geographic variation in species richness.</p><h3 id=\"ece37341-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Elevational gradients in avian species richness followed a consistent pattern of<span>&nbsp;</span><i>low elevation plateau-mid-elevation peak</i><span>&nbsp;</span>(as per McCain, 2009). We found support for three of the five hypotheses to explain the underlying cause of this pattern: the habitat heterogeneity, temperature, and primary productivity hypotheses.</p><h3 id=\"ece37341-sec-0005-title\" class=\"article-section__sub-title section1\">Main Conclusions</h3><p>Species richness typically decreases with elevation, but the primary cause and precise shape of the relationship remain topics of debate. We used a novel approach to study the richness-elevation relationship and our results are unique in that they show a consistent relationship between species richness and elevation among 6 mountain ranges, and universal support for three hypotheses proposed to explain the underlying cause of the observed relationship. Taken together, these results suggest that elevational variation in food availability may be the ecological process that best explains elevational gradients in avian species richness in North America. Although much attention has focused on the role of abiotic factors, particularly temperature, in limiting species’ ranges, our results offer compelling evidence that other processes also influence (and may better explain) elevational gradients in species richness.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7341","usgsCitation":"Dillon, K., and Conway, C.J., 2021, Habitat heterogeneity, temperature, and primary productivity drive elevational gradients in avian species diversity: Ecology and Evolution, v. 11, no. 11, p. 5985-5997, https://doi.org/10.1002/ece3.7341.","productDescription":"13 p.","startPage":"5985","endPage":"5997","ipdsId":"IP-105630","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":452474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7341","text":"Publisher Index Page"},{"id":389477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dillon, Kristen G.","contributorId":265813,"corporation":false,"usgs":false,"family":"Dillon","given":"Kristen G.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":823449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":823448,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70220573,"text":"70220573 - 2021 - Wetlands in intermittently closed estuaries can build elevations to keep pace with sea-level rise","interactions":[],"lastModifiedDate":"2021-05-19T12:19:42.854496","indexId":"70220573","displayToPublicDate":"2021-05-01T07:18:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Wetlands in intermittently closed estuaries can build elevations to keep pace with sea-level rise","docAbstract":"<p><span>Sea-level rise is a threat to&nbsp;coastal ecosystems, which have important conservation and economic value. While&nbsp;marsh&nbsp;response to sea-level rise has been well characterized for perennially open&nbsp;estuaries, bar-built intermittently-closed estuaries and their sea-level rise response are seldom addressed in the literature – despite being common globally. We seek to advance the conceptual understanding of sea-level rise response of marshes by incorporating the unique nature of intermittently-closed estuaries in a marsh model. We hypothesize that intermittently-closed-estuary marshes may be more resilient to sea-level rise than open-estuary marshes due to greater initial elevation capital and higher accretion rates due to closure events. Using California, USA as a case study,&nbsp;spatial analysis&nbsp;shows that marshes in intermittently-closed-estuaries had significantly greater elevations (x̄&nbsp;=&nbsp;1.93&nbsp;m&nbsp;±&nbsp;0.2 standard error, n&nbsp;=&nbsp;14) than marshes in permanently open estuaries (x̄&nbsp;=&nbsp;0.94&nbsp;m&nbsp;±&nbsp;0.1 standard error, n&nbsp;=&nbsp;8; P&nbsp;=&nbsp;0.003). We then used a process-based model to determine marsh elevation change under 840 simulated responses to sea-level rise to 2100. Our modeling shows that regular annual mouth closure can promote accretion rates and increase marsh elevations fast enough to match even high rates of sea-level rise, as&nbsp;fluvial sediment&nbsp;pulses can be captured in the estuary. Modeled&nbsp;</span>suspended sediment<span>&nbsp;concentration had the strongest effect on accretion, followed by probability of annual mouth closure. Intermittently closed estuaries are critical environments where marshes may be sustained under high rates of sea-level rise, thus reducing the anticipated global loss of these important ecosystems. Our results begin to fill an important gap in the knowledge about marsh accretion and identify research needs to inform coastal management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2021.107386","usgsCitation":"Thorne, K., Buffington, K., Jones, S., and Largier, J.L., 2021, Wetlands in intermittently closed estuaries can build elevations to keep pace with sea-level rise: Estuarine, Coastal and Shelf Science, v. 257, 107386, 12 p., https://doi.org/10.1016/j.ecss.2021.107386.","productDescription":"107386, 12 p.","ipdsId":"IP-129328","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":452476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2021.107386","text":"Publisher Index Page"},{"id":385750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"257","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Scott 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":215602,"corporation":false,"usgs":true,"family":"Jones","given":"Scott","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Largier, John L.","contributorId":175121,"corporation":false,"usgs":false,"family":"Largier","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":816060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222106,"text":"70222106 - 2021 - Differential reliance on aquatic prey subsidies influences mercury exposure in riparian arachnids and songbirds","interactions":[],"lastModifiedDate":"2021-07-20T12:21:56.724805","indexId":"70222106","displayToPublicDate":"2021-05-01T07:17:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Differential reliance on aquatic prey subsidies influences mercury exposure in riparian arachnids and songbirds","docAbstract":"<p><span>Cross-ecosystem subsidies move substantial amounts of nutrients between ecosystems. Emergent aquatic insects are a particularly important prey source for riparian songbirds but may also move aquatic contaminants, such as mercury (Hg), to riparian food webs. While many studies focus on species that eat primarily emergent aquatic insects, we instead study riparian songbirds with flexible foraging strategies, exploiting both aquatic and terrestrial prey sources. The goal in this study is to trace reliance on aquatic prey sources and correlate it to Hg concentrations in common riparian arachnids (Families Tetragnathidae, Opiliones, and Salticidae) and songbirds (Common Yellowthroat&nbsp;</span><i>Geothlypis trichas</i><span>, Spotted Towhee&nbsp;</span><i>Pipilo maculatus</i><span>, Swainson's Thrush&nbsp;</span><i>Catharus ustulatus</i><span>, Song Sparrow&nbsp;</span><i>Melospiza melodia</i><span>, and Yellow Warbler&nbsp;</span><i>Setophaga petechia</i><span>). We used stable isotopes of δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N and Bayesian mixing models in MixSIAR to determine the reliance of riparian predators on aquatic prey sources. Using mixed effects models, we found that arachnid families varied in their reliance on aquatic prey sources. While songbird species varied in their reliance on aquatic prey sources, songbirds sampled earlier in the season consistently relied more on aquatic prey sources than those sampled later in the season. For both arachnids and songbirds, we found a positive correlation between the amount of the aquatic prey source in their diet and their Hg concentrations. While the seasonal pulse of aquatic prey to terrestrial ecosystems is an important source of nutrients to riparian species, our results show that aquatic prey sources are linked with higher Hg exposure. For songbirds, reliance on aquatic prey sources early in the breeding season (and subsequent higher Hg exposure) coincides with timing of egg laying and development, both of which may be impacted by Hg exposure.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7549","usgsCitation":"Jackson, A.K., Eagles-Smith, C., and Robinson, W.D., 2021, Differential reliance on aquatic prey subsidies influences mercury exposure in riparian arachnids and songbirds: Ecology and Evolution, v. 11, no. 11, p. 7003-7017, https://doi.org/10.1002/ece3.7549.","productDescription":"15 p.","startPage":"7003","endPage":"7017","ipdsId":"IP-115217","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":452478,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7549","text":"Publisher Index Page"},{"id":436387,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FD0GOV","text":"USGS data release","linkHelpText":"Mercury Concentrations and Stable Isotopes in Riparian Songbirds and Invertebrates from the Willamette River, Oregon, 2013"},{"id":387295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, Allyson K. 0000-0002-0821-8261","orcid":"https://orcid.org/0000-0002-0821-8261","contributorId":5964,"corporation":false,"usgs":false,"family":"Jackson","given":"Allyson","email":"","middleInitial":"K.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":819548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":819549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, W Douglas 0000-0003-2240-0606","orcid":"https://orcid.org/0000-0003-2240-0606","contributorId":261239,"corporation":false,"usgs":false,"family":"Robinson","given":"W","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":819550,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70214541,"text":"70214541 - 2021 - Aeolian processes and landforms across the Solar System: Science and technology requirements for the next decade","interactions":[],"lastModifiedDate":"2021-10-11T21:06:12.607708","indexId":"70214541","displayToPublicDate":"2021-04-30T16:03:52","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":9373,"text":"Bulletin of the AAS","active":true,"publicationSubtype":{"id":1}},"title":"Aeolian processes and landforms across the Solar System: Science and technology requirements for the next decade","docAbstract":"Discussions of planetary atmospheric-surface interactions (including aeolian processes and phenomena and the resulting landforms) are often tied to a specific planetary body. Considering this, a series of workshops were initiated in 2008 to facilitate an interdisciplinary and interplanetary body approach to further our understanding of aeolian processes, phenomena, and landforms (Titus et al., 2008,  2010, 2012, 2015, 2017). The most recent workshop, held 12-13 May 2020, transitioned to a virtual format due to the COVID-19 pandemic, with a specific focus on the planetary aeolian community’s vision for the next decade. Discussions centered around dynamics and resulting landforms, missions and models, and facilities. Participants determined that a planetary aeolian goals-and-objectives document was needed that was inclusive of multiple planetary bodies, processes, and phenomena that all intersect where the surface meets the atmosphere. This white paper is the first iteration of that vision, with definition of Goals/Objectives that organize the broad range of existing and needed planetary aeolian studies.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planetary science and astrobiology decadal survey 2023-2032","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Academy of Science","doi":"10.3847/25c2cfeb.038c0952","usgsCitation":"Titus, T.N., Diniega, S., Fenton, L., Neakrase, L., Nienhuis, J., Radebaugh, J., Williams, K.E., and Zimbelman, J.R., 2021, Aeolian processes and landforms across the Solar System: Science and technology requirements for the next decade: Bulletin of the AAS, v. 53, no. 4, Whitepaper #188, 8 p., https://doi.org/10.3847/25c2cfeb.038c0952.","productDescription":"Whitepaper #188, 8 p.","ipdsId":"IP-120466","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/25c2cfeb.038c0952","text":"Publisher Index Page"},{"id":390408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":799850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diniega, S.","contributorId":238737,"corporation":false,"usgs":false,"family":"Diniega","given":"S.","affiliations":[{"id":27365,"text":"NASA Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":799851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenton, L.K.","contributorId":206378,"corporation":false,"usgs":false,"family":"Fenton","given":"L.K.","email":"","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":799852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neakrase, Lynn","contributorId":190649,"corporation":false,"usgs":false,"family":"Neakrase","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":799853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nienhuis, J.","contributorId":241663,"corporation":false,"usgs":false,"family":"Nienhuis","given":"J.","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":799854,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Radebaugh, J","contributorId":241664,"corporation":false,"usgs":false,"family":"Radebaugh","given":"J","affiliations":[{"id":48387,"text":"BYU","active":true,"usgs":false}],"preferred":false,"id":799855,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":799856,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zimbelman, James R.","contributorId":196265,"corporation":false,"usgs":false,"family":"Zimbelman","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":799857,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70211230,"text":"70211230 - 2021 - Current activity on the Martian surface: A key subject for future exploration","interactions":[],"lastModifiedDate":"2021-10-12T15:08:55.173485","indexId":"70211230","displayToPublicDate":"2021-04-30T10:05:48","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":9373,"text":"Bulletin of the AAS","active":true,"publicationSubtype":{"id":1}},"title":"Current activity on the Martian surface: A key subject for future exploration","docAbstract":"<p>One of the fundamental discoveries in Mars science in the last decade has been the extent and importance of current surface activity. Recent results have shifted our view of Mars from a world where the most interesting geologic events were in the distant past (similar to the Moon) to a world that undergoes active evolution and one where understanding the present is key to deciphering the planet’s history. When input was requested for the last Planetary Science Decadal Survey, some observations of surface changes had been published, but the number of detections was small and their significance not fully appreciated. Since that time, detections have proliferated, driven primarily by the long-term operation of the Mars Reconnaissance Orbiter (MRO) and the High Resolution Imaging Science Experiment (HiRISE) as well as landed observations of aeolian activity. In addition to observed changes, theory suggests that additional important surface processes are likely active but not yet observed because orbital data are limited in space and time and landed studies are rare. </p><p>Understanding current Martian surface processes is a fundamental science question in itself, as it provides a test for physical and terrestrial analog-based models of specific geological processes acting under non-Earth planetary and environmental conditions. It is also an essential step for reading Mars’ geologic history and providing input to climate models: without understanding current dynamic processes, we cannot understand how they have varied during recent climate cycles, nor how they are reflected in ancient rock or modern ice records. Understanding the rates and types of current surface activity is also highly relevant to selecting geological samples, setting Planetary Protection rules, and understanding the hazards and environment that would be experienced by future human explorers.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planetary science and astrobiology decadal survey 2023-2032","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Academy of Sciences","doi":"10.3847/25c2cfeb.72861191","usgsCitation":"Dundas, C.M., Byrne, S., Chojnacki, M., Diniega, S., Daubar, I.J., Hamilton, C.W., Hansen, C.J., McEwen, A.S., Portyankina, G., and Sizemore, H.G., 2021, Current activity on the Martian surface: A key subject for future exploration: Bulletin of the AAS, v. 53, no. 4, Whitepaper #157, 8 p., https://doi.org/10.3847/25c2cfeb.72861191.","productDescription":"Whitepaper #157, 8 p.","startPage":"2023","endPage":"2032","ipdsId":"IP-119571","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452513,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/25c2cfeb.72861191","text":"Publisher Index Page"},{"id":390419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":793282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":793283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chojnacki, Matthew","contributorId":201621,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":793284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diniega, Serina","contributorId":212017,"corporation":false,"usgs":false,"family":"Diniega","given":"Serina","email":"","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":793285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daubar, Ingrid J.","contributorId":204233,"corporation":false,"usgs":false,"family":"Daubar","given":"Ingrid","email":"","middleInitial":"J.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":793286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamilton, Christopher W.","contributorId":196266,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":793287,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hansen, Candice J.","contributorId":70235,"corporation":false,"usgs":false,"family":"Hansen","given":"Candice","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":793288,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":793289,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Portyankina, Ganna","contributorId":200703,"corporation":false,"usgs":false,"family":"Portyankina","given":"Ganna","email":"","affiliations":[],"preferred":false,"id":793290,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sizemore, Hanna G 0000-0002-6641-2388","orcid":"https://orcid.org/0000-0002-6641-2388","contributorId":229472,"corporation":false,"usgs":false,"family":"Sizemore","given":"Hanna","email":"","middleInitial":"G","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":793291,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70220248,"text":"ofr20211016 - 2021 - Community for Data Integration 2019 annual report","interactions":[],"lastModifiedDate":"2021-04-29T17:31:53.359011","indexId":"ofr20211016","displayToPublicDate":"2021-04-29T13:15:00","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":"2021-1016","displayTitle":"Community for Data Integration 2019 Annual Report","title":"Community for Data Integration 2019 annual report","docAbstract":"<p>The Community for Data Integration is a community of practice whose purpose is to advance the U.S. Geological Survey’s data integration capabilities. In fiscal year 2019, the Community for Data Integration held 9 monthly forums, facilitated 11 collaboration areas, held several workshops and training events, and funded 14 projects. The activities supported the U.S. Geological Survey priorities of enabling integrated predictive science, producing FAIR (Findable, Accessible, Interoperable, Reusable) data, building modular and reusable tools, building authoritative national datasets for hazards or assets, and developing tools and methods for biosurveillance of emerging invasive species and health threats. Through these efforts, community members were informed of new and emerging technologies and data topics that helped them in their professional responsibilities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20211016","usgsCitation":"Hsu, L., and Liford, A.N., 2021, Community for Data Integration 2019 Annual Report: U.S. Geological Survey Open-File Report 2021–1016, 19 p., https://doi.org/10.3133/ofr20211016.","productDescription":"iv, 19 p.","onlineOnly":"Y","ipdsId":"IP-119547","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":385363,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1016/ofr20211016.pdf","text":"Report","size":"2.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1016"},{"id":385362,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1016/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/\" data-mce-href=\"https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/\">Science Analytics and Synthesis</a><br>U.S. Geological Survey<br>P.O. Box 25046, Mail Stop 302<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Monthly Forums</li><li>Collaboration Areas</li><li>Special Events and Training</li><li>Annual Community for Data Integration Request for Proposals</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Presentations and Speakers</li></ul>","publishedDate":"2021-04-29","noUsgsAuthors":false,"publicationDate":"2021-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":814885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liford, Amanda N. 0000-0002-6992-2543","orcid":"https://orcid.org/0000-0002-6992-2543","contributorId":257671,"corporation":false,"usgs":true,"family":"Liford","given":"Amanda","email":"","middleInitial":"N.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":814886,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70220300,"text":"70220300 - 2021 - Quantifying Great Lakes sea lamprey populations using an index of adults","interactions":[],"lastModifiedDate":"2022-01-06T17:46:34.159965","indexId":"70220300","displayToPublicDate":"2021-04-29T10:18:10","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":"Quantifying Great Lakes sea lamprey populations using an index of adults","docAbstract":"<p><span>Effective control of aquatic&nbsp;invasive species&nbsp;requires knowledge of the population throughout the infested area. Lake-wide assessments of invasive sea lampreys (</span><i>Petromyzon marinus</i><span>) are used to assess their status in the Laurentian Great Lakes, informing fisheries managers and decision makers in the sea lamprey control program. Initially these assessments focused on an estimate of absolute abundance, but later switched to an estimate of relative abundance as an index. In this paper, we describe the recently developed index of sea lamprey abundance and the reasons for its use. Rather than trying to estimate spawning run sizes of all Great Lakes tributaries, the index instead estimates run sizes of a small subset of index streams. Streams chosen for the index had large spawning runs and a history of trapping operations that consistently yielded mark-recapture estimates. This change enabled the sea lamprey control program to abandon a previously used regression model that predicted run size on streams with no sea lamprey traps. Further research is needed to determine how strongly correlated the index is with actual patterns in the lake-wide population of adult sea lampreys.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.04.009","usgsCitation":"Adams, J.V., Barber, J.M., Bravener, G.A., and Lewandoski, S.A., 2021, Quantifying Great Lakes sea lamprey populations using an index of adults: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. S335-S346, https://doi.org/10.1016/j.jglr.2021.04.009.","productDescription":"12 p.","startPage":"S335","endPage":"S346","ipdsId":"IP-121369","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":452530,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.04.009","text":"Publisher Index Page"},{"id":385421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie, Lake Huron, Lake Michigan, Lake Ontario, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.9814453125,\n              44.77793589631623\n            ],\n            [\n              -79.1455078125,\n              44.653024159812\n            ],\n            [\n              -80.85937499999999,\n              46.34692761055676\n            ],\n            [\n              -83.49609375,\n              46.5286346952717\n            ],\n            [\n              -84.55078125,\n              48.37084770238366\n            ],\n            [\n              -88.11035156249999,\n              49.18170338770663\n            ],\n            [\n              -92.8125,\n              46.86019101567027\n            ],\n            [\n              -92.373046875,\n              46.01222384063236\n            ],\n            [\n              -88.857421875,\n              46.58906908309182\n            ],\n            [\n              -87.0556640625,\n              46.195042108660154\n            ],\n            [\n              -88.154296875,\n              45.02695045318546\n            ],\n            [\n              -88.154296875,\n              44.276671273775186\n            ],\n            [\n              -87.890625,\n              41.705728515237524\n            ],\n            [\n              -86.6162109375,\n              41.31082388091818\n            ],\n            [\n              -85.95703125,\n              44.33956524809713\n            ],\n            [\n              -84.5068359375,\n              45.120052841530544\n            ],\n            [\n              -83.8037109375,\n              44.809121700077355\n            ],\n            [\n              -84.0234375,\n              43.54854811091286\n            ],\n            [\n              -82.880859375,\n              43.51668853502906\n            ],\n            [\n              -83.49609375,\n              41.96765920367816\n            ],\n            [\n              -83.408203125,\n              41.04621681452063\n            ],\n            [\n              -78.662109375,\n              42.4234565179383\n            ],\n            [\n              -78.44238281249999,\n              43.100982876188546\n            ],\n            [\n              -76.1572265625,\n              43.068887774169625\n            ],\n            [\n              -75.9814453125,\n              44.77793589631623\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"Suppl 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":815063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Jessica M.","contributorId":173285,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":815064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bravener, Gale A","contributorId":174546,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","email":"","middleInitial":"A","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":815065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewandoski, Sean A.","contributorId":221007,"corporation":false,"usgs":false,"family":"Lewandoski","given":"Sean","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":815066,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220384,"text":"70220384 - 2021 - A morphodynamic model to evaluate long-term sandbar rebuilding using controlled floods in the Grand Canyon","interactions":[],"lastModifiedDate":"2021-05-10T12:33:29.88236","indexId":"70220384","displayToPublicDate":"2021-04-29T07:28:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A morphodynamic model to evaluate long-term sandbar rebuilding using controlled floods in the Grand Canyon","docAbstract":"<div class=\"article-section__content en main\"><p>Controlled floods released from dams have become a common restoration strategy in river systems worldwide. Here we present a morphodynamic model of sandbar volume change for a subset of sandbars of the Colorado River in Grand Canyon National Park, where controlled floods are part of a management strategy focused on sandbar maintenance. We simulate sandbars as a triangular wedge, where deposition and erosion are modeled using physically based approaches that are driven by nearly continuous observations of flow and suspended sand concentration. We optimize an eddy exchange coefficient and erosion rate parameter by comparing model predictions to measured bar volumes. The model captures most of the variability in observed volume changes, and demonstrates the importance of flood frequency and sand concentration on average bar size. The model is easily implemented and adaptable, providing a means for predicting the future behavior of sandbars under a variety of streamflow and sediment supply scenarios.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL093007","usgsCitation":"Mueller, E., and Grams, P.E., 2021, A morphodynamic model to evaluate long-term sandbar rebuilding using controlled floods in the Grand Canyon: Geophysical Research Letters, v. 48, no. 9, e2021GL093007, 10 p., https://doi.org/10.1029/2021GL093007.","productDescription":"e2021GL093007, 10 p.","ipdsId":"IP-126897","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":385539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.7252197265625,\n              35.79108281624994\n            ],\n            [\n              -111.5826416015625,\n              35.79108281624994\n            ],\n            [\n              -111.5826416015625,\n              36.4566360115962\n            ],\n            [\n              -112.7252197265625,\n              36.4566360115962\n            ],\n            [\n              -112.7252197265625,\n              35.79108281624994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Mueller, Erich R. 0000-0001-8202-154X","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":207750,"corporation":false,"usgs":false,"family":"Mueller","given":"Erich R.","affiliations":[{"id":37626,"text":"Department of Geography, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":815315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":815316,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70220377,"text":"70220377 - 2021 - Single-well production history matching and geostatistical modeling as proxy to multi-well reservoir simulation for evaluating dynamic reservoir properties of coal seams","interactions":[],"lastModifiedDate":"2021-05-10T11:46:07.912396","indexId":"70220377","displayToPublicDate":"2021-04-29T06:40:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Single-well production history matching and geostatistical modeling as proxy to multi-well reservoir simulation for evaluating dynamic reservoir properties of coal seams","docAbstract":"<p id=\"sp0070\"><span>Reservoir properties of&nbsp;coal seams&nbsp;such as gas and water&nbsp;effective permeabilities&nbsp;and gas content, as well as spatial distributions thereof, affect the success of gas production and CO</span><sub>2</sub>-enhanced gas recovery (EGR) with simultaneous CO<sub>2</sub><span>&nbsp;sequestration. These properties change during production and injection operations due to variations in&nbsp;reservoir pressure, matrix shrinkage/swelling, and water saturation and are therefore referred to as dynamic properties. Predicting distribution of such important reservoir properties and how they evolve during production, or injection, at unsampled locations can be particularly important for field development and project economics.</span></p><p id=\"sp0075\">In this work, dynamic properties of Black Creek coal seam of Black Warrior Basin, Alabama were mapped using pointwise results from single-well production history matching of 45 wells and classical<span>&nbsp;</span>geostatistics<span>. It is explored if this approach can be a proxy, with its limitations, to multi-well&nbsp;reservoir simulation. For this purpose, a reservoir model was built using available reservoir, well and production data to compare its results with those of the geostatistical maps for the same properties. Despite the expected local discrepancies due to differences between the two approaches, the results showed similar patterns and global distributions. Specific results showed that despite long-time operation of the wells in this area, there were still areas with high gas content and low gas effective permeability within the modeled time interval that might have benefited from further development using additional wells.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2021.103766","usgsCitation":"Karacan, C.O., 2021, Single-well production history matching and geostatistical modeling as proxy to multi-well reservoir simulation for evaluating dynamic reservoir properties of coal seams: International Journal of Coal Geology, v. 241, 103766, 10 p., https://doi.org/10.1016/j.coal.2021.103766.","productDescription":"103766, 10 p.","ipdsId":"IP-124559","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":385530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Alabama","city":"Tuscaloosa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.8082275390625,\n              32.9764120829052\n            ],\n            [\n              -86.912841796875,\n              32.9764120829052\n            ],\n            [\n              -86.912841796875,\n              33.669496972795535\n            ],\n            [\n              -87.8082275390625,\n              33.669496972795535\n            ],\n            [\n              -87.8082275390625,\n              32.9764120829052\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"241","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815294,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70228991,"text":"70228991 - 2021 - Nest site selection of White-tailed Hawks (Geranoaetus albicaudatus) on Texas barrier islands","interactions":[],"lastModifiedDate":"2022-02-25T16:01:59.173106","indexId":"70228991","displayToPublicDate":"2021-04-28T09:55:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Nest site selection of White-tailed Hawks (<i>Geranoaetus albicaudatus</i>) on Texas barrier islands","title":"Nest site selection of White-tailed Hawks (Geranoaetus albicaudatus) on Texas barrier islands","docAbstract":"<p><span>The distribution of the White-tailed Hawk (</span><i>Geranoaetus albicaudatus</i><span>) in the United States is restricted to the prairies and savannas of the Gulf Coastal Plain of Texas. Although listed as a state threatened species, it remains one of the least studied raptors in North America. It appears to reach high densities on some Texas barrier islands despite the island vegetation communities being structurally simple and providing few nesting substrates. We compared vegetation and landscape characteristics for sets of White-tailed Hawk nest sites and random sites on 3 Texas barrier islands (Matagorda, Mustang, and North Padre) representing a gradient of low to high human presence and impact. We constructed model sets consisting of vegetation and landscape features measured at a random subsample of nest sites and random sites, then assessed model sets with logistic regression. Our best constructed model correctly differentiated 83% of nest sites from random sites on Matagorda Island, 70% on Mustang Island, and 50% on North Padre Island. Overall, it appears that the structure of nest substrates was important to White-tailed Hawk nest-site selection: shrubs categorized as densely structured with or without thorns accounted for 78% of nest substrates compared to only 13% of paired, random potential substrates. The most frequently selected nest substrates overall were yaupon (</span><i>Ilex vomitoria</i><span>; 43%) and Macartney rose (</span><i>Rosa bracteata</i><span>; 24%). If White-tailed Hawks are to be conserved on the barrier islands, a balance will need to be found between continued anthropogenic development, maintenance of habitat patches, and availability of suitable nesting substrates.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/20-74","usgsCitation":"Haralson-Strobel, C., Boal, C.W., and Fraquhar, C.C., 2021, Nest site selection of White-tailed Hawks (Geranoaetus albicaudatus) on Texas barrier islands: Wilson Journal of Ornithology, v. 132, no. 3, p. 668-677, https://doi.org/10.1676/20-74.","productDescription":"10 p.","startPage":"668","endPage":"677","ipdsId":"IP-119949","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Matagorda, Mustang, and North Padre Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.83486938476562,\n              28.070768561865155\n            ],\n            [\n              -96.39678955078125,\n              28.33943885710451\n            ],\n            [\n              -96.38992309570311,\n              28.35394230526438\n            ],\n            [\n              -96.43661499023436,\n              28.36361017019959\n            ],\n            [\n              -96.5478515625,\n              28.320097845836454\n            ],\n            [\n              -96.822509765625,\n              28.19308520918522\n            ],\n            [\n              -96.83212280273438,\n              28.121649866341304\n            ],\n            [\n              -96.85409545898438,\n             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26.571333057252076\n            ],\n            [\n              -97.3663330078125,\n              26.968589727144387\n            ],\n            [\n              -97.35260009765625,\n              27.205785724383325\n            ],\n            [\n              -97.261962890625,\n              27.48756291405129\n            ],\n            [\n              -97.19535827636719,\n              27.612972297774377\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haralson-Strobel, C.L.","contributorId":280181,"corporation":false,"usgs":false,"family":"Haralson-Strobel","given":"C.L.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":836086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraquhar, C. C.","contributorId":280182,"corporation":false,"usgs":false,"family":"Fraquhar","given":"C.","email":"","middleInitial":"C.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":836088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222454,"text":"70222454 - 2021 - lsforce: A Python-based single-force seismic inversion framework for massive landslides","interactions":[],"lastModifiedDate":"2021-07-30T14:01:26.407941","indexId":"70222454","displayToPublicDate":"2021-04-28T09:00:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"lsforce: A Python-based single-force seismic inversion framework for massive landslides","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>We present an open‐source Python package, lsforce, for performing single‐force source inversions of long‐period (tens to hundreds of seconds) seismic signals. Although the software is designed primarily for landslides, it can be used for any single‐force seismic source. The package allows users to produce estimates of the three‐component time series of forces exerted on the Earth by a landslide with postprocessing options to estimate the trajectory of its center of mass. Green’s functions for a user‐selected 1D Earth model are obtained automatically from the Incorporated Research Institutions for Seismology Synthetics Engine webservice or can be computed for custom 1D Earth models using Computer Programs in Seismology. lsforce implements the two most commonly used source parameterizations: a fully flexible, high‐resolution approach and a more stable but lower‐resolution method of overlapping triangle sources. Regularization options include a blended zeroth‐, first‐, and second‐order semiautomated Tikhonov regularization scheme, as well as additional optional constraints on start times, end times, and on the sum of forces. Uncertainty due to data selection can be assessed using either a leave‐one‐out approach or a modified jackknife technique that randomly excludes subsets of the data for multiple re‐inversions. Numerous built‐in plotting methods allow for easy quality control and assessment of results. In this article, we briefly outline the theory and methodology, describe our implementation, and demonstrate the usage of lsforce using the well‐studied 28 June 2016 Lamplugh rock avalanche in Alaska. Despite the rapidly increasing prevalence of landslide single‐force inversions in the landslide and seismology literature over the past decade, to our knowledge this is the first open‐source code for performing such inversions.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210004","usgsCitation":"Toney, L., and Allstadt, K.E., 2021, lsforce: A Python-based single-force seismic inversion framework for massive landslides: Seismological Research Letters, v. 4, no. 92, p. 2610-2626, https://doi.org/10.1785/0220210004.","productDescription":"17 p.","startPage":"2610","endPage":"2626","ipdsId":"IP-125392","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":387593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"92","noUsgsAuthors":false,"publicationDate":"2021-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Toney, Liam 0000-0003-0167-9433","orcid":"https://orcid.org/0000-0003-0167-9433","contributorId":257264,"corporation":false,"usgs":true,"family":"Toney","given":"Liam","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820096,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222608,"text":"70222608 - 2021 - Ground motions in urban Los Angeles from the 2019 Ridgecrest earthquake sequence","interactions":[],"lastModifiedDate":"2021-11-16T15:34:50.050489","indexId":"70222608","displayToPublicDate":"2021-04-28T07:56:48","publicationYear":"2021","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":"Ground motions in urban Los Angeles from the 2019 Ridgecrest earthquake sequence","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>We study ground-motion response in urban Los Angeles during the two largest events (M7.1 and M6.4) of the 2019 Ridgecrest earthquake sequence using recordings from multiple regional seismic networks as well as a subset of 350 stations from the much denser Community Seismic Network. In the first part of our study, we examine the observed response spectral (pseudo) accelerations for a selection of periods of engineering significance (1, 3, 6, and 8 s). Significant ground-motion amplification is present and reproducible between the two events. For the longer periods, coherent spectral acceleration patterns are visible throughout the Los Angeles Basin, while for the shorter periods, the motions are less spatially coherent. However, coherence is still observable at smaller length scales due to the high spatial density of the measurements. Examining possible correlations of the computed response spectral accelerations with basement depth and Vs30, we find the correlations to be stronger for the longer periods. In the second part of the study, we test the performance of two state-of-the-art methods for estimating ground motions for the largest event of the Ridgecrest earthquake sequence, namely three-dimensional (3D) finite-difference simulations and ground motion prediction equations. For the simulations, we are interested in the performance of the two Southern California Earthquake Center 3D community velocity models (CVM-S and CVM-H). For the ground motion prediction equations, we consider four of the 2014 Next Generation Attenuation-West2 Project equations. For some cases, the methods match the observations reasonably well; however, neither approach is able to reproduce the specific locations of the maximum response spectral accelerations or match the details of the observed amplification patterns.</p></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute (EERI)","doi":"10.1177/87552930211003916","usgsCitation":"Filippitzis, F., Kohler, M., Heaton, T., Graves, R., Clayton, R.W., Guy, R.G., Bunn, J.J., and Chandy, K.M., 2021, Ground motions in urban Los Angeles from the 2019 Ridgecrest earthquake sequence: Earthquake Spectra, v. 37, no. 4, p. 2493-2522, https://doi.org/10.1177/87552930211003916.","productDescription":"30 p.","startPage":"2493","endPage":"2522","ipdsId":"IP-119921","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":452543,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20211209-231200000","text":"External Repository"},{"id":387769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles, Ridgecrest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.8173828125,\n              35.808904044068626\n            ],\n            [\n              -118.553466796875,\n              35.27701633139884\n            ],\n            [\n              -118.77868652343751,\n              34.14363482031264\n            ],\n            [\n              -118.57543945312501,\n              33.59174327144985\n            ],\n            [\n              -117.69653320312499,\n              33.53223722395908\n            ],\n            [\n              -117.2735595703125,\n              33.916013113401696\n            ],\n            [\n              -116.993408203125,\n              34.615126683462194\n            ],\n            [\n              -116.971435546875,\n              35.37113502280101\n            ],\n            [\n              -117.16918945312499,\n              35.71083783530009\n            ],\n            [\n              -117.3944091796875,\n              35.97800618085566\n            ],\n            [\n              -117.66906738281249,\n              35.96022296929667\n            ],\n            [\n              -117.8173828125,\n              35.808904044068626\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Filippitzis, Filippos","contributorId":261900,"corporation":false,"usgs":false,"family":"Filippitzis","given":"Filippos","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":820728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kohler, Monica","contributorId":201881,"corporation":false,"usgs":false,"family":"Kohler","given":"Monica","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":820729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heaton, Tom","contributorId":208160,"corporation":false,"usgs":false,"family":"Heaton","given":"Tom","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":820730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clayton, Robert W.","contributorId":202752,"corporation":false,"usgs":false,"family":"Clayton","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":820732,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guy, Richard G.","contributorId":261942,"corporation":false,"usgs":false,"family":"Guy","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":820733,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bunn, J. J.","contributorId":261901,"corporation":false,"usgs":false,"family":"Bunn","given":"J.","email":"","middleInitial":"J.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":820734,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chandy, K. M.","contributorId":261902,"corporation":false,"usgs":false,"family":"Chandy","given":"K.","email":"","middleInitial":"M.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":820735,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70220276,"text":"70220276 - 2021 - Estimates of food consumption rates for invasive Blue Catfish","interactions":[],"lastModifiedDate":"2021-08-03T14:05:24.593834","indexId":"70220276","displayToPublicDate":"2021-04-28T07:25:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of food consumption rates for invasive Blue Catfish","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>As a prolific invasive species, Blue Catfish<span>&nbsp;</span><i>Ictalurus furcatus</i><span>&nbsp;</span>threaten native organisms in numerous estuarine and tidal freshwaters along the Atlantic coast of the United States. However, no published estimates of consumption rates are available for Blue Catfish in the scientific literature. This information is critical for development of bioenergetics models or estimation of population‐level impacts on native species. Using a combination of field and laboratory studies, we provide the first estimates of daily ration, maximum daily ration, and consumption to biomass ratios for Blue Catfish populations. Ad libitum feeding trials conducted in our laboratory reveal that maximum daily ration in Blue Catfish varies by prey type, temperature, and fish size, with maximal feeding occurring in medium‐sized Blue Catfish (500–600&nbsp;mm total length) and at temperatures&nbsp;≥15°C. Furthermore, estimates of daily ration were higher for fish prey (Gizzard Shad<span>&nbsp;</span><i>Dorosoma cepedianum</i>) than for crustacean prey (blue crab<span>&nbsp;</span><i>Callinectes sapidus</i>). Diel feeding chronologies based on field‐collected diet samples from 1,226 Blue Catfish demonstrated river‐specific variability in daily ration and maximum daily ration. Blue Catfish daily ration ranged between 2.27% and 5.22% bodyweight per 24&nbsp;h, while maximum daily ration ranges between 8.56% and 9.37% bodyweight per 24&nbsp;h. Estimates of consumption to biomass ratios varied by river and Blue Catfish size groupings but range between 2.42 and 3.39, which is similar to other benthic omnivores. This research will inform the assessment of predatory impacts of invasive Blue Catfish in the Chesapeake Bay and beyond as it will enable researchers to estimate predatory impacts through the coupling of population models, food habit information, and consumption rate information (current study).</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10300","usgsCitation":"Schmitt, J., Hilling, C.D., and Orth, D.J., 2021, Estimates of food consumption rates for invasive Blue Catfish: Transactions of the American Fisheries Society, v. 150, no. 4, p. 465-476, https://doi.org/10.1002/tafs.10300.","productDescription":"22 p.","startPage":"465","endPage":"476","ipdsId":"IP-116907","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":452545,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/104082","text":"External Repository"},{"id":385409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.475341796875,\n              36.54494944148322\n            ],\n            [\n              -75.728759765625,\n              36.54494944148322\n            ],\n            [\n              -75.728759765625,\n              39.036252959636606\n            ],\n            [\n              -78.475341796875,\n              39.036252959636606\n            ],\n            [\n              -78.475341796875,\n              36.54494944148322\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"150","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilling, Corbin D. 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":257754,"corporation":false,"usgs":false,"family":"Hilling","given":"Corbin","email":"","middleInitial":"D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":814976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orth, Donald J.","contributorId":257755,"corporation":false,"usgs":false,"family":"Orth","given":"Donald","email":"","middleInitial":"J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":814977,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229142,"text":"70229142 - 2021 - Breeding season space use by lesser prairie-chickens (Tympanuchus Pallidicinctus) varies among ecoregions and breeding stages","interactions":[],"lastModifiedDate":"2022-03-01T13:19:56.563056","indexId":"70229142","displayToPublicDate":"2021-04-28T07:15:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Breeding season space use by lesser prairie-chickens (Tympanuchus Pallidicinctus) varies among ecoregions and breeding stages","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Large-scale declines of grassland ecosystems in the conterminous United States since European settlement have led to substantial loss and fragmentation of lesser prairie-chicken (<i>Tympanuchus pallidicinctus</i>) habitat and decreased their occupied range and population numbers by ∼85%. Breeding season space use is an important component of lesser prairie-chicken conservation, because it could affect both local carrying capacity and population dynamics. Previous estimates of breeding season space use are largely limited to one of the four currently occupied ecoregions, but potential extrinsic drivers of breeding space use, such as landscape fragmentation, vegetation structure and composition, and density of anthropogenic structures, can show large spatial variation. Moreover, habitat needs vary greatly among the lekking/prelaying, nesting, brood-rearing, and postbreeding stages of the breeding season, but space use by female lesser prairie-chickens during these stages remain relatively unclear. We tested whether home range area and daily displacement (the net distance between the first and last location of each day) of female lesser prairie-chickens varied among ecoregions and breeding stages at four study sites in Kansas and Colorado, U.S.A., representing three of the four currently occupied ecoregions. We equipped females with very-high-frequency (VHF) or Global Positioning System (GPS) transmitters, and estimated home range area with kernel density estimators or biased random bridge models, respectively. Across all ecoregions, breeding season home range area averaged 190.4 ha (±19.1 ha<span>&nbsp;</span><span>se</span>) for birds with VHF and 283.6 ha (±23.1 ha) for birds with GPS transmitters, whereas daily displacement averaged 374.8 m (±14.3 m). Average home range area and daily displacement of bird with GPS transmitters were greater in the Short-Grass Prairie/ Conservation Reserve Program Mosaic and Sand Sagebrush Prairie Ecoregions compared to sites in the Mixed-Grass Prairie Ecoregion. Home range area and daily displacement were greatest during lekking/prelaying and smallest during the brood-rearing stage, when female movements were restricted by mobility of chicks. Ecoregion- and breeding stage-specific estimates of space use by lesser prairie-chickens will help managers determine the spatial configuration of breeding stage-specific habitat on the landscape. Furthermore, ecoregion- and breeding stage-specific estimates are crucial when estimating the amount of breeding habitat needed for lesser prairie-chicken populations to persist.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.1674/0003-0031-185.2.149","usgsCitation":"Verheijen, B.H., Plumb, R.T., Gulick, C.K., Hagen, C., Robinson, S.G., Sullins, D.S., and Haukos, D.A., 2021, Breeding season space use by lesser prairie-chickens (Tympanuchus Pallidicinctus) varies among ecoregions and breeding stages: The American Midland Naturalist, v. 185, no. 2, p. 149-174, https://doi.org/10.1674/0003-0031-185.2.149.","productDescription":"26 p.","startPage":"149","endPage":"174","ipdsId":"IP-122843","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-106.190554,40.997607],[-106.061181,40.996999],[-105.730421,40.996886],[-105.724804,40.99691],[-105.277138,40.998173],[-105.27686,40.998173],[-105.256527,40.998191],[-105.254779,40.99821],[-104.943371,40.998084],[-104.855273,40.998048],[-104.829504,40.99927],[-104.675999,41.000957],[-104.497149,41.001828],[-104.497058,41.001805],[-104.467672,41.001473],[-104.214692,41.001657],[-104.214191,41.001568],[-104.211473,41.001591],[-104.123586,41.001626],[-104.10459,41.001543],[-104.086068,41.001563],[-104.066961,41.001504],[-104.053249,41.001406],[-104.039238,41.001502],[-104.023383,41.001887],[-104.018223,41.001617],[-103.972642,41.001615],[-103.971373,41.001524],[-103.953525,41.001596],[-103.906324,41.001387],[-103.896207,41.00175],[-103.877967,41.001673],[-103.858449,41.001681],[-103.750498,41.002054],[-103.574522,41.001721],[-103.497447,41.001635],[-103.486697,41.001914],[-103.421975,41.002007],[-103.421925,41.001969],[-103.396991,41.002558],[-103.382492,41.002232],[-103.365314,41.001846],[-103.362979,41.001844],[-103.077804,41.002298],[-103.076536,41.002253],[-103.059538,41.002368],[-103.057998,41.002368],[-103.043444,41.002344],[-103.038704,41.002251],[-103.002026,41.002486],[-103.000102,41.0024],[-102.98269,41.002157],[-102.981483,41.002112],[-102.963669,41.002186],[-102.962522,41.002072],[-102.960706,41.002059],[-102.959624,41.002095],[-102.94483,41.002303],[-102.943109,41.002051],[-102.925568,41.00228],[-102.924029,41.002142],[-102.906547,41.002276],[-102.904796,41.002207],[-102.887407,41.002178],[-102.885746,41.002131],[-102.867822,41.002183],[-102.865784,41.001988],[-102.849263,41.002301],[-102.846455,41.002256],[-102.830303,41.002351],[-102.82728,41.002143],[-102.773546,41.002414],[-102.766723,41.002275],[-102.754617,41.002361],[-102.739624,41.00223],[-102.653463,41.002332],[-102.621033,41.002597],[-102.578696,41.002291],[-102.575738,41.002268],[-102.575496,41.0022],[-102.566048,41.0022],[-102.556789,41.002219],[-102.487955,41.002445],[-102.470537,41.002382],[-102.469223,41.002424],[-102.379593,41.002301],[-102.364066,41.002174],[-102.292833,41.002207],[-102.292622,41.00223],[-102.292553,41.002207],[-102.291354,41.002207],[-102.2721,41.002245],[-102.267812,41.002383],[-102.231931,41.002327],[-102.2122,41.002462],[-102.209361,41.002442],[-102.19121,41.002326],[-102.124972,41.002338],[-102.070598,41.002423],[-102.051718,41.002377],[-102.051614,41.002377],[-102.051292,40.749591],[-102.051292,40.749586],[-102.051398,40.697542],[-102.051725,40.537839],[-102.051519,40.520094],[-102.051465,40.440008],[-102.05184,40.396396],[-102.051572,40.39308],[-102.051798,40.360069],[-102.051553,40.349214],[-102.051309,40.338381],[-102.051922,40.235344],[-102.051894,40.229193],[-102.051909,40.162674],[-102.052001,40.148359],[-102.051744,40.003078],[-102.051569,39.849805],[-102.051363,39.843471],[-102.051318,39.833311],[-102.051254,39.818992],[-102.050594,39.675594],[-102.050099,39.653812],[-102.050422,39.646048],[-102.049954,39.592331],[-102.049806,39.574058],[-102.049764,39.56818],[-102.049554,39.538932],[-102.049673,39.536691],[-102.049679,39.506183],[-102.049369,39.423333],[-102.04937,39.41821],[-102.049167,39.403597],[-102.04896,39.373712],[-102.048449,39.303138],[-102.04725,39.13702],[-102.047189,39.133147],[-102.047134,39.129701],[-102.046571,39.047038],[-102.045388,38.813392],[-102.045334,38.799463],[-102.045448,38.783453],[-102.045371,38.770064],[-102.045287,38.755528],[-102.045375,38.754339],[-102.045212,38.697567],[-102.045156,38.688555],[-102.045127,38.686725],[-102.04516,38.675221],[-102.045102,38.674946],[-102.045074,38.669617],[-102.045288,38.615249],[-102.045288,38.615168],[-102.045211,38.581609],[-102.045189,38.558732],[-102.045223,38.543797],[-102.045112,38.523784],[-102.045262,38.505532],[-102.045263,38.505395],[-102.045324,38.453647],[-102.044936,38.41968],[-102.044442,38.415802],[-102.044944,38.384419],[-102.044613,38.312324],[-102.044568,38.268819],[-102.044567,38.268749],[-102.04451,38.262412],[-102.044398,38.250015],[-102.044251,38.141778],[-102.044589,38.125013],[-102.044255,38.113011],[-102.044644,38.045532],[-102.043844,37.928102],[-102.043845,37.926135],[-102.043219,37.867929],[-102.043033,37.824146],[-102.042953,37.803535],[-102.042668,37.788758],[-102.042158,37.760164],[-102.04199,37.738541],[-102.041876,37.723875],[-102.041574,37.680436],[-102.041694,37.665681],[-102.041582,37.654495],[-102.041585,37.644282],[-102.041618,37.607868],[-102.041894,37.557977],[-102.041899,37.541186],[-102.042016,37.535261],[-102.041786,37.506066],[-102.041801,37.469488],[-102.041755,37.434855],[-102.041669,37.43474],[-102.041676,37.409898],[-102.041586,37.38919],[-102.041524,37.375018],[-102.042089,37.352819],[-102.041974,37.352613],[-102.041817,37.30949],[-102.041664,37.29765],[-102.041963,37.258164],[-102.042002,37.141744],[-102.042135,37.125021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 \"}}]}","volume":"185","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verheijen, Bram H.F.","contributorId":271195,"corporation":false,"usgs":false,"family":"Verheijen","given":"Bram","email":"","middleInitial":"H.F.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":836763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":836764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gulick, Chris K.J.","contributorId":287443,"corporation":false,"usgs":false,"family":"Gulick","given":"Chris","email":"","middleInitial":"K.J.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":836765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagen, Christian A.","contributorId":287444,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian A.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":836766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":836767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":836768,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":836762,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70220371,"text":"70220371 - 2021 - A framework for allocating conservation resources among multiple threats and actions","interactions":[],"lastModifiedDate":"2021-10-06T14:47:30.153049","indexId":"70220371","displayToPublicDate":"2021-04-28T07:13:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"A framework for allocating conservation resources among multiple threats and actions","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Land managers decide how to allocate resources among multiple threats that can be addressed through multiple possible actions. Additionally, these actions vary in feasibility, effectiveness, and cost. We sought to provide a way to optimize resource allocation to address multiple threats when multiple management options are available, including mutually exclusive options. Formulating the decision as a combinatorial optimization problem, our framework takes as inputs the expected impact and cost of each threat for each action (including do nothing) and for each overall budget identifies the optimal action to take for each threat. We compared the optimal solution to an easy to calculate greedy algorithm approximation and a variety of plausible ranking schemes. We applied the framework to management of multiple introduced plant species in Australian alpine areas. We developed a model of invasion to predict the expected impact in 50 years for each species‐action combination that accounted for each species’ current invasion state (absent, localized, widespread); arrival probability; spread rate; impact, if present, of each species; and management effectiveness of each species‐action combination. We found that the recommended action for a threat changed with budget; there was no single optimal management action for each species; and considering more than one candidate action can substantially increase the management plan's overall efficiency. The approximate solution (solution ranked by marginal cost‐effectiveness) performed well when the budget matched the cost of the prioritized actions, indicating that this approach would be effective if the budget was set as part of the prioritization process. The ranking schemes varied in performance, and achieving a close to optimal solution was not guaranteed. Global sensitivity analysis revealed a threat's expected impact and, to a lesser extent, management effectiveness were the most influential parameters, emphasizing the need to focus research and monitoring efforts on their quantification.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13748","usgsCitation":"Moore, J., Camaclang, A., Moore, A.L., Hauser, C.E., Runge, M.C., Picheny, V., and Rumpff, L., 2021, A framework for allocating conservation resources among multiple threats and actions: Conservation Biology, v. 35, no. 5, p. 1639-1649, https://doi.org/10.1111/cobi.13748.","productDescription":"11 p.","startPage":"1639","endPage":"1649","ipdsId":"IP-113968","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":452548,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/cobi.13748","text":"External Repository"},{"id":385526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Joslin L.","contributorId":257914,"corporation":false,"usgs":false,"family":"Moore","given":"Joslin L.","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":815275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camaclang, Abbey E","contributorId":257916,"corporation":false,"usgs":false,"family":"Camaclang","given":"Abbey E","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":815276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Alana L.","contributorId":194047,"corporation":false,"usgs":false,"family":"Moore","given":"Alana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":815277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hauser, Cindy E","contributorId":257918,"corporation":false,"usgs":false,"family":"Hauser","given":"Cindy","email":"","middleInitial":"E","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":815278,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":815279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Picheny, Victor","contributorId":257920,"corporation":false,"usgs":false,"family":"Picheny","given":"Victor","email":"","affiliations":[{"id":52173,"text":"Unite de Mathematiques et Informatique Appliquees","active":true,"usgs":false}],"preferred":false,"id":815280,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rumpff, Libby","contributorId":197117,"corporation":false,"usgs":false,"family":"Rumpff","given":"Libby","email":"","affiliations":[],"preferred":false,"id":815281,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70220381,"text":"70220381 - 2021 - Spatial and temporal distributions of Dreissena spp. veligers in Lake Huron: Does calcium limit settling success?","interactions":[],"lastModifiedDate":"2021-08-03T14:41:30.379803","indexId":"70220381","displayToPublicDate":"2021-04-27T07:55:13","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}},"displayTitle":"Spatial and temporal distributions of <i>Dreissena</i> spp. veligers in Lake Huron: Does calcium limit settling success?","title":"Spatial and temporal distributions of Dreissena spp. veligers in Lake Huron: Does calcium limit settling success?","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">The larval stage of invasive<span>&nbsp;</span><i>Dreissena</i><span>&nbsp;spp. mussels (i.e., veligers) are understudied despite their seasonal numerical dominance among&nbsp;plankton. We report the spring and summer veliger densities and size structure across the main basin, North Channel, and Georgian Bay of&nbsp;Lake Huron, and seek to explain spatiotemporal variation. Monthly sampling was conducted at 9 transects and up to 3 sites per transect from spring through summer 2017. Veliger densities peaked in June and July, and we found comparable densities and biomasses of veligers between basins, despite differences in density of juvenile and adult mussels across these regions. Using a generalized additive model to explain variations in veliger density, we found that temperature, chlorophyll&nbsp;</span><i>a</i>, and nitrates/nitrites were most important. We generated an index of veliger attrition based on size distributions that revealed a higher rate of attrition in the North Channel than the rest of the lake. A logistic model indicated a threshold calcium concentration of around 22&nbsp;mg/L was necessary for veligers to survive to larger sizes and recruit to their juvenile and benthic adult life stages. Improved understanding of factors that regulate the production and survival of<span>&nbsp;</span><i>Dreissena</i><span>&nbsp;</span>veligers could improve the ability of managers to assess future invasion threats as well as explore potential control options.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.04.001","usgsCitation":"Kirkendall, D.S., Bunnell, D., Dieter, P., Eaton, L.A., Trebitz, A.S., and Watson, N., 2021, Spatial and temporal distributions of Dreissena spp. veligers in Lake Huron: Does calcium limit settling success?: Journal of Great Lakes Research, v. 47, no. 2, p. 1040-1049, https://doi.org/10.1016/j.jglr.2021.04.001.","productDescription":"10 p.","startPage":"1040","endPage":"1049","ipdsId":"IP-123522","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":452562,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9019761","text":"External Repository"},{"id":436393,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BNQPPM","text":"USGS data release","linkHelpText":"2017 Zooplankton Data from Lake Huron"},{"id":385542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.4296875,\n              42.68243539838623\n            ],\n            [\n              -78.662109375,\n              42.68243539838623\n            ],\n            [\n              -78.662109375,\n              47.15984001304432\n            ],\n            [\n              -85.4296875,\n              47.15984001304432\n            ],\n            [\n              -85.4296875,\n              42.68243539838623\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kirkendall, Darren S. 0000-0002-4377-4968","orcid":"https://orcid.org/0000-0002-4377-4968","contributorId":237765,"corporation":false,"usgs":true,"family":"Kirkendall","given":"Darren","email":"","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":815302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":217344,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":815303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieter, Patricia M. 0000-0003-1686-2679","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":217345,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":815304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eaton, Lauren A.","contributorId":211815,"corporation":false,"usgs":false,"family":"Eaton","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":815305,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trebitz, Anett S 0000-0002-0915-5610","orcid":"https://orcid.org/0000-0002-0915-5610","contributorId":257924,"corporation":false,"usgs":false,"family":"Trebitz","given":"Anett","email":"","middleInitial":"S","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":815306,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Watson, Nicole M","contributorId":257925,"corporation":false,"usgs":false,"family":"Watson","given":"Nicole M","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":815307,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70220310,"text":"70220310 - 2021 - A maximum rupture model for the central and southern Cascadia subduction zone—reassessing ages for coastal evidence of megathrust earthquakes and tsunamis","interactions":[],"lastModifiedDate":"2021-05-04T12:18:23.654271","indexId":"70220310","displayToPublicDate":"2021-04-27T07:14:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A maximum rupture model for the central and southern Cascadia subduction zone—reassessing ages for coastal evidence of megathrust earthquakes and tsunamis","docAbstract":"<p><span>A new history of great earthquakes (and their tsunamis) for the central and southern Cascadia subduction zone shows more frequent (17 in the past 6700&nbsp;yr) megathrust ruptures than previous coastal chronologies. The history is based on along-strike correlations of Bayesian age models derived from evaluation of 554 radiocarbon ages that date earthquake evidence at 14 coastal sites. We reconstruct a history that accounts for all dated stratigraphic evidence with the fewest possible ruptures by evaluating the sequence of age models for earthquake or tsunami contacts at each site, comparing the degree of temporal overlap of correlated site age models, considering evidence for closely spaced earthquakes at four sites, and hypothesizing only maximum-length megathrust ruptures. For the past 6700&nbsp;yr, recurrence for all earthquakes is 370–420&nbsp;yr. But correlations suggest that ruptures at ∼1.5 ka and ∼1.1 ka were of limited extent (&lt;400&nbsp;km). If so, post-3-ka recurrence for ruptures extending throughout central and southern Cascadia is 510–540&nbsp;yr. But the range in the times between earthquakes is large: two instances may be ∼50&nbsp;yr, whereas the longest are ∼550 and ∼850&nbsp;yr. The closely spaced ruptures about 1.6 ka may illustrate a pattern common at subduction zones of a long gap ending with a great earthquake rupturing much of the subduction zone, shortly followed by a rupture of more limited extent. The ruptures of limited extent support the continued inclusion of magnitude-8 earthquakes, with longer ruptures near magnitude 9, in assessments of&nbsp;</span>seismic hazard<span>&nbsp;in the region.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2021.106922","usgsCitation":"Nelson, A., DuRoss, C., Witter, R., Kelsey, H., Engelhart, S.E., Mahan, S.A., Gray, H., Hawkes, A.D., Horton, B.P., and Padgett, J., 2021, A maximum rupture model for the central and southern Cascadia subduction zone—reassessing ages for coastal evidence of megathrust earthquakes and tsunamis: Quaternary Science Reviews, v. 261, 106922, 19 p., https://doi.org/10.1016/j.quascirev.2021.106922.","productDescription":"106922, 19 p.","ipdsId":"IP-127841","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":452566,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2021.106922","text":"Publisher Index Page"},{"id":436395,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YWIDOW","text":"USGS data release","linkHelpText":"DATA RELEASE Part 2: Optical luminescence dating of Bradley Lake, Oregon, tsunami deposits, analytical data for: A maximum rupture model for the central and southern Cascadia subduction zone-reassessing ages for coastal evidence of megathrust earthquakes and tsunamis"},{"id":436394,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S75DTS","text":"USGS data release","linkHelpText":"Radiocarbon ages, age-model code, and other supplemental data for Nelson et al. (2021), A maximum rupture model for the central and southern Cascadia subduction zone - assessing ages for coastal evidence of megathrust earthquakes and tsunamis"},{"id":385446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"British Columbia, Washington, Oregon, California","otherGeospatial":"Pacific Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -127.529296875,\n              51.944264879028765\n            ],\n            [\n              -129.462890625,\n              50.736455137010665\n            ],\n            [\n              -124.4091796875,\n              42.5530802889558\n            ],\n            [\n              -124.27734374999999,\n              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M.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":815113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":815114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":815115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":815116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hawkes, Andrea D.","contributorId":192811,"corporation":false,"usgs":false,"family":"Hawkes","given":"Andrea","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":815117,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false},{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":815118,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Padgett, Jason S.","contributorId":257829,"corporation":false,"usgs":false,"family":"Padgett","given":"Jason S.","affiliations":[{"id":52130,"text":"Department of Geology, Humboldt State University, Arcata, California 95524, USA; Department of Geography, Durham University, Durham, DH1 3LE, UK","active":true,"usgs":false}],"preferred":false,"id":815119,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70228887,"text":"70228887 - 2021 - Complex sedimentary processes in large coastal embayments and their potential for coastal morphological and paleo tropical cyclone studies: A case study from Choctawhatchee Bay Western Florida, U.S.A","interactions":[],"lastModifiedDate":"2022-02-23T15:35:00.295091","indexId":"70228887","displayToPublicDate":"2021-04-26T09:28:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Complex sedimentary processes in large coastal embayments and their potential for coastal morphological and paleo tropical cyclone studies: A case study from Choctawhatchee Bay Western Florida, U.S.A","docAbstract":"<p id=\"sp0120\"><span>Storminess and sea-level can both have a significant impact on&nbsp;landforms&nbsp;in cyclone-prone coastal regions, although much of our understanding comes from short-timescale modern observations. This study aims to understand the variability of&nbsp;</span>sediment transport<span>&nbsp;and deposition in the Choctawhatchee Bay/Santa Rosa Island in the northern&nbsp;Gulf of Mexico, establishing the dominant sediment transport processes and morphological response of the barrier system to long-term variations in storminess and rising sea-levels.</span></p><p id=\"sp0125\">Here, we study the spatial and temporal changes in<span>&nbsp;</span>physicochemical properties<span>&nbsp;of the sedimentary record of Choctawhatchee Bay to examine the character and fidelity of records of storm impacts spanning the&nbsp;Holocene. Proxies for marine and terrestrial conditions in the cores situated closer to the present barrier (proximal) show that sedimentation in coastal areas and marine influence of the bay during the last ~8000&nbsp;yrs. were mainly determined by barrier response to the Holocene transgression and changes in storminess. In contrast, sedimentation close to the landward shore was governed by terrigenous input. The correlation of grain size and terrigenous proxies with regional hurricane records indicates that hinterland erosion by the rainfall during hurricane events is likely the dominant terrigenous sediment transport mechanism in areas close to the landward shore of the bay. These results suggest that sediment archives in large coastal deposition environments are equally suitable for sea level and&nbsp;cyclone&nbsp;modulated coastal morphological studies and paleo&nbsp;tropical cyclone&nbsp;studies, depending on the location, selected with an understanding of sedimentation processes in the vicinity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2021.106478","usgsCitation":"Ranasinghe, P.N., Donnelly, J.P., Evans, R., Rodysill, J.R., Nanayakkara, N.U., van Hengstum, P.J., Hawkes, A.D., Sullivan, R., and Toomey, M., 2021, Complex sedimentary processes in large coastal embayments and their potential for coastal morphological and paleo tropical cyclone studies: A case study from Choctawhatchee Bay Western Florida, U.S.A: Marine Geology, v. 437, 106478, 17 p., https://doi.org/10.1016/j.margeo.2021.106478.","productDescription":"106478, 17 p.","ipdsId":"IP-128251","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":452568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2021.106478","text":"Publisher Index Page"},{"id":396342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Choctawhatchee Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.572265625,\n              30.39064573955672\n            ],\n            [\n              -86.41983032226562,\n              30.39064573955672\n            ],\n            [\n              -86.41983032226562,\n              30.50311746839939\n            ],\n            [\n              -86.572265625,\n              30.50311746839939\n            ],\n            [\n              -86.572265625,\n              30.39064573955672\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"437","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ranasinghe, P. N.","contributorId":279975,"corporation":false,"usgs":false,"family":"Ranasinghe","given":"P.","email":"","middleInitial":"N.","affiliations":[{"id":57394,"text":"Department of Oceanography and Marine Geology, Univerity of Ruhuna, Matara, Sri Lanka","active":true,"usgs":false}],"preferred":false,"id":835775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donnelly, Jeffrey P.","contributorId":192783,"corporation":false,"usgs":false,"family":"Donnelly","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":835776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, R. L.","contributorId":279976,"corporation":false,"usgs":false,"family":"Evans","given":"R. L.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":835777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodysill, Jessica R. 0000-0002-3602-7227 jrodysill@usgs.gov","orcid":"https://orcid.org/0000-0002-3602-7227","contributorId":207577,"corporation":false,"usgs":true,"family":"Rodysill","given":"Jessica","email":"jrodysill@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":835778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nanayakkara, N. U.","contributorId":279977,"corporation":false,"usgs":false,"family":"Nanayakkara","given":"N.","email":"","middleInitial":"U.","affiliations":[{"id":57394,"text":"Department of Oceanography and Marine Geology, Univerity of Ruhuna, Matara, Sri Lanka","active":true,"usgs":false}],"preferred":false,"id":835779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Hengstum, Peter J.","contributorId":199536,"corporation":false,"usgs":false,"family":"van Hengstum","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":835780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hawkes, Andrea D.","contributorId":192811,"corporation":false,"usgs":false,"family":"Hawkes","given":"Andrea","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":835781,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sullivan, Richard","contributorId":211625,"corporation":false,"usgs":false,"family":"Sullivan","given":"Richard","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":835782,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":835783,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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