{"pageNumber":"659","pageRowStart":"16450","pageSize":"25","recordCount":165296,"records":[{"id":70260153,"text":"70260153 - 2019 - Impacts of the 2015 eruption of Calbuco volcano on Chilean infrastructure, utilities, agriculture, and health","interactions":[],"lastModifiedDate":"2024-10-30T14:39:24.653338","indexId":"70260153","displayToPublicDate":"2019-12-01T09:33:11","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":18999,"text":"GNS Science Report","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"2019/04","title":"Impacts of the 2015 eruption of Calbuco volcano on Chilean infrastructure, utilities, agriculture, and health","docAbstract":"<p><span>This report presents data and summarises the findings of a reconnaissance trip investigating the impacts of the April 2015 eruption of Calbuco volcano, Chile, undertaken in November-December 2016. This study is mostly focused on the Los Lagos region, focusing on impacts occurring within ~30 km of the volcano, which includes the tourism town of Puerto Varas and port city of Puerto Montt. Eruption impacts and response strategies may be similar for moderate size eruptions from other stratovolcanoes in temperate regions. As such, this study provides useful information for development of contingency plans at active volcanoes around the world. The 2015 eruption of Calbuco volcano began at 18:04 (local time) on 22 April 2015 and consisted of three eruptive phases. The first lasted for 1.5 hours and generated a 15-km eruption column and plume that was directed towards the northeast. Pyroclastic density currents (PDCs) were generated locally and distributed radially, affecting many of the major rivers. A second phase began at 01:00 (local time) on 23 April 2015, lasted six hours and generated a 17-km high eruption column and plume that was dispersed towards the north-northeast, and the most voluminous pyroclastic density currents of the sequence. A third eruptive phase occurred on 30 April 12:10 (local time) resulting in a 5-km column and plume dispersed towards the east.</span></p>","language":"English","publisher":"The Institute of Geological and Nuclear Sciences Limited (GNS Science)","doi":"10.21420/02YC-VX66","usgsCitation":"Hayes, J., Deligne, N., Bertin, L., Calderon, R., Wardman, J., Wilson, T.J., Leonard, G., C., S., Wallace, K.L., and Baxter, P., 2019, Impacts of the 2015 eruption of Calbuco volcano on Chilean infrastructure, utilities, agriculture, and health: GNS Science Report 2019/04, 102 p., https://doi.org/10.21420/02YC-VX66.","productDescription":"102 p.","ipdsId":"IP-105929","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Calbuco volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.48307304563127,\n              -40.573371240910895\n            ],\n            [\n              -73.48307304563127,\n              -42.33035124814165\n            ],\n            [\n              -71.89602918061058,\n              -42.33035124814165\n            ],\n            [\n              -71.89602918061058,\n              -40.573371240910895\n            ],\n            [\n              -73.48307304563127,\n              -40.573371240910895\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, J.","contributorId":345669,"corporation":false,"usgs":false,"family":"Hayes","given":"J.","affiliations":[{"id":82688,"text":"University of Canterbury, NZ","active":true,"usgs":false}],"preferred":false,"id":917219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deligne, N. I.","contributorId":149573,"corporation":false,"usgs":false,"family":"Deligne","given":"N. I.","affiliations":[],"preferred":false,"id":917221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertin, L","contributorId":345670,"corporation":false,"usgs":false,"family":"Bertin","given":"L","email":"","affiliations":[{"id":82689,"text":"SERNAGEOMIN, Chile","active":true,"usgs":false}],"preferred":false,"id":917223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calderon, Rodrigo","contributorId":270274,"corporation":false,"usgs":false,"family":"Calderon","given":"Rodrigo","email":"","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":true,"id":917224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wardman, J.","contributorId":345671,"corporation":false,"usgs":false,"family":"Wardman","given":"J.","affiliations":[{"id":16634,"text":"Bermuda Institute of Ocean Sciences","active":true,"usgs":false}],"preferred":false,"id":917225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, T. J.","contributorId":31942,"corporation":false,"usgs":false,"family":"Wilson","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":917220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leonard, G.","contributorId":149590,"corporation":false,"usgs":false,"family":"Leonard","given":"G.","email":"","affiliations":[],"preferred":false,"id":917222,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"C., Stewart.","contributorId":345672,"corporation":false,"usgs":false,"family":"C.","given":"Stewart.","email":"","affiliations":[{"id":82690,"text":"GNS Science / Massey University, NZ","active":true,"usgs":false}],"preferred":false,"id":917226,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917227,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baxter, P.","contributorId":149588,"corporation":false,"usgs":false,"family":"Baxter","given":"P.","email":"","affiliations":[],"preferred":false,"id":917228,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70227737,"text":"70227737 - 2019 - Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction","interactions":[],"lastModifiedDate":"2022-01-28T15:34:56.321091","indexId":"70227737","displayToPublicDate":"2019-12-01T09:31:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":787,"text":"Annals of Applied Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction","docAbstract":"<p><span>Multivariate compositional count data arise in many applications including ecology, microbiology, genetics and paleoclimate. A frequent question in the analysis of multivariate compositional count data is what underlying values of a covariate(s) give rise to the observed composition. Learning the relationship between covariates and the compositional count allows for inverse prediction of unobserved covariates given compositional count observations. Gaussian processes provide a flexible framework for modeling functional responses with respect to a covariate without assuming a functional form. Many scientific disciplines use Gaussian process approximations to improve prediction and make inference on latent processes and parameters. When prediction is desired on unobserved covariates given realizations of the response variable, this is called inverse prediction. Because inverse prediction is often mathematically and computationally challenging, predicting unobserved covariates often requires fitting models that are different from the hypothesized generative model. We present a novel computational framework that allows for efficient inverse prediction using a Gaussian process approximation to generative models. Our framework enables scientific learning about how the latent processes co-vary with respect to covariates while simultaneously providing predictions of missing covariates. The proposed framework is capable of efficiently exploring the high dimensional, multi-modal latent spaces that arise in the inverse problem. To demonstrate flexibility, we apply our method in a generalized linear model framework to predict latent climate states given multivariate count data. Based on cross-validation, our model has predictive skill competitive with current methods while simultaneously providing formal, statistical inference on the underlying community dynamics of the biological system previously not available.</span></p>","language":"English","publisher":"Institute of Mathematical Statistics","doi":"10.1214/19-AOAS1281","usgsCitation":"Tipton, J.R., Hooten, M., Nolan, C., Booth, R.K., and McLachlan, J., 2019, Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction: Annals of Applied Statistics, v. 13, no. 4, p. 2363-2388, https://doi.org/10.1214/19-AOAS1281.","productDescription":"26 p.","startPage":"2363","endPage":"2388","ipdsId":"IP-089036","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1214/19-aoas1281","text":"Publisher Index Page"},{"id":395052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tipton, John R.","contributorId":272496,"corporation":false,"usgs":false,"family":"Tipton","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":56379,"text":"u ark","active":true,"usgs":false}],"preferred":false,"id":831989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":831988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolan, Connor","contributorId":272497,"corporation":false,"usgs":false,"family":"Nolan","given":"Connor","affiliations":[{"id":56380,"text":"u az","active":true,"usgs":false}],"preferred":false,"id":831990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booth, Robert K.","contributorId":272498,"corporation":false,"usgs":false,"family":"Booth","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":56381,"text":"lehigh  u","active":true,"usgs":false}],"preferred":false,"id":831991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLachlan, Jason","contributorId":272499,"corporation":false,"usgs":false,"family":"McLachlan","given":"Jason","affiliations":[{"id":36611,"text":"Notre Dame","active":true,"usgs":false}],"preferred":false,"id":831992,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215325,"text":"70215325 - 2019 - Population characteristics and the potential suppression of common carp in Lake Spokane, Washington","interactions":[],"lastModifiedDate":"2020-10-16T14:10:58.363964","indexId":"70215325","displayToPublicDate":"2019-12-01T09:06:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Population characteristics and the potential suppression of common carp in Lake Spokane, Washington","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>Common Carp<span>&nbsp;</span><i>Cyprinus carpio</i><span>&nbsp;</span>is a nonnative species that often has deleterious effects on aquatic systems. As such, there is interest in suppressing nonnative Common Carp populations in areas where humans have introduced them. The objectives of this study were to 1) provide insight on efficient techniques for capturing Common Carp, 2) describe their population demographics and dynamics, 3) evaluate whether temperature and water elevation were related to growth and recruitment, and 4) develop an age-structured population model for evaluating different management scenarios of Common Carp removal in Lake Spokane, Washington. Catch rates of Common Carp varied among sampling gears with slightly higher catch rates in monofilament (mean ± SD; 15.5 ± 9.8 fish/net night) vs. multifilament (12.7 ± 7.3 fish/net night) gill nets. Catch rates of Common Carp with nighttime electrofishing (0.3 ± 0.4 fish/min) were higher than daytime electrofishing (0.1 ± 0.2 fish/min). Common Carp in Lake Spokane exhibited variable recruitment, rapid growth, large-length structure, high longevity (i.e., age 18 y), and low total annual mortality (17.0%). Air temperature was positively associated with annual growth increments (<i>R</i><sup>2</sup><span>&nbsp;</span>≤ 0.25). Neither air temperature nor water elevation was highly correlated (<i>R</i><sup>2</sup><span>&nbsp;</span>≤ 0.20) to recruitment of Common Carp. A Beverton–Holt yield-per-recruit model suggested that yield declined with increasing exploitation. Recruitment overfishing would occur at exploitation rates of 20–40% for all targeted minimum length categories (i.e., 150, 300, 450 mm) except 600 mm. Results from this study provide important information on the ecology of Common Carp that can be used to guide management efforts (e.g., suppression) in western systems.</p></div>","language":"English","publisher":"Allen Press","doi":"10.3996/122018-JFWM-114","usgsCitation":"Feeken, S., Klein, Z.B., Quist, M.C., and Horner, N., 2019, Population characteristics and the potential suppression of common carp in Lake Spokane, Washington: Journal of Fish and Wildlife Management, v. 10, no. 2, p. 362-374, https://doi.org/10.3996/122018-JFWM-114.","productDescription":"13 p.","startPage":"362","endPage":"374","ipdsId":"IP-103296","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/122018-jfwm-114","text":"Publisher Index Page"},{"id":379465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Spokane","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.87094116210936,\n              47.75917578613814\n            ],\n            [\n              -117.52143859863281,\n              47.75917578613814\n            ],\n            [\n              -117.52143859863281,\n              47.91542163178686\n            ],\n            [\n              -117.87094116210936,\n              47.91542163178686\n            ],\n            [\n              -117.87094116210936,\n              47.75917578613814\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Feeken, Stacey","contributorId":243200,"corporation":false,"usgs":false,"family":"Feeken","given":"Stacey","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":801726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klein, Zachary B.","contributorId":171709,"corporation":false,"usgs":false,"family":"Klein","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":801727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":801725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horner, Ned","contributorId":243201,"corporation":false,"usgs":false,"family":"Horner","given":"Ned","affiliations":[{"id":48661,"text":"Private","active":true,"usgs":false}],"preferred":false,"id":801728,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236881,"text":"70236881 - 2019 - Joint system-input identification of bridge structures","interactions":[],"lastModifiedDate":"2022-09-21T13:44:58.319143","indexId":"70236881","displayToPublicDate":"2019-12-01T08:37:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12599,"text":"Turkish Journal of Earthquake Research","active":true,"publicationSubtype":{"id":10}},"title":"Joint system-input identification of bridge structures","docAbstract":"<p><span>This paper presents a novel framework for system identification of bridge structures using recorded earthquake data. Bridge structures are prone to spatial variability of ground motions because they extend over relatively long distances. So, input motion measurement is a challenging task, especially for long bridges with multiple piers. Moreover, direct measurement of the bridge Foundation Input Motions (FIMs) may not be possible due to both inertial and kinematic Soil-Structure Interaction (SSI) effects. In this study, we propose a joint system-input identification solution using sparsely measured earthquake-induced responses. We verify this method and its applicability for real scale problems using simulated data obtained from the Golden Gate Bridge.</span></p>","language":"English, Turkish","doi":"10.46464/tdad.593551","usgsCitation":"Ghahari, S., Celebi, M., Ebrahimian, H., Cetiner, B., and Taciroglu, E., 2019, Joint system-input identification of bridge structures: Turkish Journal of Earthquake Research, v. 1, no. 2, p. 98-122, https://doi.org/10.46464/tdad.593551.","productDescription":"25 p.","startPage":"98","endPage":"122","ipdsId":"IP-108253","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":459070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.46464/tdad.593551","text":"Publisher Index Page"},{"id":407132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"Golden Gate Bridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.48090744018555,\n              37.808292105520145\n            ],\n            [\n              -122.47455596923828,\n              37.808292105520145\n            ],\n            [\n              -122.47455596923828,\n              37.82687023785448\n            ],\n            [\n              -122.48090744018555,\n              37.82687023785448\n            ],\n            [\n              -122.48090744018555,\n              37.808292105520145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghahari, S. F.","contributorId":296773,"corporation":false,"usgs":false,"family":"Ghahari","given":"S. F.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":852456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebrahimian, H.","contributorId":296774,"corporation":false,"usgs":false,"family":"Ebrahimian","given":"H.","affiliations":[{"id":64167,"text":"SC Solutions","active":true,"usgs":false}],"preferred":false,"id":852458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cetiner, Barbaros","contributorId":296879,"corporation":false,"usgs":false,"family":"Cetiner","given":"Barbaros","email":"","affiliations":[],"preferred":false,"id":852623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taciroglu, E.","contributorId":147710,"corporation":false,"usgs":false,"family":"Taciroglu","given":"E.","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":852459,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70207160,"text":"70207160 - 2019 - Managing effects of drought in Hawai’i and U.S.-affiliated Pacific Islands","interactions":[],"lastModifiedDate":"2020-12-08T16:49:59.298008","indexId":"70207160","displayToPublicDate":"2019-12-01T08:14:15","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"WO-98","chapter":"5","title":"Managing effects of drought in Hawai’i and U.S.-affiliated Pacific Islands","docAbstract":"<p>How is drought expressed in Hawai‘i &amp; USAPI? Drought is a significant climate feature in Hawai‘i and the U.S.-Affiliated Pacific Islands (USAPI), at times causing severe impacts across multiple sectors. Below average precipitation anomalies are often accompanied by higher than average temperatures and reduced cloud cover. The resulting higher insolation and evapotranspiration can magnify the effects of rainfall deficits. These altered meteorological conditions lead to decreased soil moisture, which, depending on the persistence and severity of the conditions, can cause plant stress, affecting both agricultural and natural systems. The hydrological effects of drought include reductions in streamflow, groundwater recharge, and groundwater discharge to springs, streams, and the ocean. Drought also has socioeconomic impacts, where reduced water supply and other effects of drought have negative financial consequences. For these reasons, drought has been defined from at least five different perspectives: meteorological, ecological, agricultural, hydrological, and socioeconomic drought. In this chapter, we explore how these five faces of drought are expressed in Hawai‘i and the USAPI, and how managers operating within one or more these five perspectives address drought-related stressors to their systems. Not all droughts are the same, varying with respect to duration, frequency, extent, and severity. For example, the region receives severe episodic droughts during which an area will have little or no rainfall for months, even in areas that normally have no dry season. El Niño events fall into this category, and these moderate frequency events are typically responsible for shorter-lived but intense drought events that affect large areas. Drought can also be expressed as infrequent but long duration events of moderate severity, or long-term rainfall decline where the baseline condition appears to be changing when examined on longer time scales. From the perspective of the manager, understanding drought duration, frequency, extent, and severity is critical to understanding the duration, frequency, extent and severity of the response. For example, how an agency responds to El Niño events, with a focus on large-scale but short-lived emergency response campaigns, may differ from how an agency responds to baseline change or an increase in the frequency of extended dry periods, with a focus on longer-lived institutional, infrastructure, and personnel responses. The legislative and policy environment will also respond differently to different types of drought. Understanding and characterizing meteorological drought relies on a long-term network of climate stations. Rainfall has been extensively monitored in Hawai‘i since the early 1900s owing to the expansion of plantation agriculture (Giambelluca and others 1986), while rainfall monitoring for most of the USAPI began in earnest after World War II (Polhemus 2017). Due to prevailing winds, most of Hawai‘i’s land area is characterized by a wet season from November to April and a dry season from May to October. However, important dynamic features affect climate systems of the Pacific. For example, due to their tropical location, rainfall patterns in both Hawai‘i and the USAPI are strongly controlled by large-scale modes of climate variability, including the El Niño-Southern Oscillation (ENSO). El Niño events are typically associated with drier than average winter wet seasons and wetter dry seasons, while La Niña events often result in a wetter than average wet season and a drier dry season. Many historical drought events have been attributed to El Niño events, which produce atmospheric conditions that are unfavorable for rainfall (Chu 1995). However, not all El Niño events result in drought, and effects differ depending on whether the El Niño is classified as Central Pacific (CP) or Eastern Pacific (EP) (Bai 2017; Polhemus 2017).&nbsp;</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of drought on forests and rangelands in the United States: Translating science into management responses","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"USDA","doi":"10.2737/WO-GTR-98","usgsCitation":"Frazier, A.G., Deenik, J., Fujii, N., Funderburk, G., Giambelluca, T., Giardina, C., Helweg, D., Keener, V., Mair, D., Marra, J., McDaniel, S., Ohye, L., Oki, D.S., Parsons, E., Strauch, A., and Trauernicht, C., 2019, Managing effects of drought in Hawai’i and U.S.-affiliated Pacific Islands: General Technical Report WO-98, 27 p., https://doi.org/10.2737/WO-GTR-98.","productDescription":"27 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Clay","contributorId":221125,"corporation":false,"usgs":false,"family":"Trauernicht","given":"Clay","email":"","affiliations":[{"id":40329,"text":"University of Hawai‘i at Mānoa, Department of Natural Resources and Environmental Management","active":true,"usgs":false}],"preferred":false,"id":777064,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70216464,"text":"70216464 - 2019 - A shallow rift basin segmented in space and time: The southern San Luis Basin, Rio Grande rift, northern New Mexico, U.S.A.","interactions":[],"lastModifiedDate":"2020-11-20T14:11:15.783736","indexId":"70216464","displayToPublicDate":"2019-12-01T07:59:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3310,"text":"Rocky Mountain Geology","active":true,"publicationSubtype":{"id":10}},"title":"A shallow rift basin segmented in space and time: The southern San Luis Basin, Rio Grande rift, northern New Mexico, U.S.A.","docAbstract":"<p><span>Interpretation of gravity, magnetotelluric, and aeromagnetic data in conjunction with geologic constraints reveals details of basin geometry, thickness, and spatiotemporal evolution of the southern San Luis Basin, one of the major basins of the northern Rio Grande rift. Spatial variations of low-density basin-fill thickness are estimated primarily using a 3D gravity inversion method that improves on previous modeling efforts by separating the effects of the low-density basin fill from the effects of pre-rift rocks. The basin is found to be significantly narrower—and more complex in the subsurface—than indicated or implied by previous modeling efforts. The basin is also estimated to be significantly shallower than previously estimated. Five distinct subbasins are recognized within the broader southern San Luis Basin. The oldest and shallowest subbasin is the Las Mesitas graben along the northwestern basin margin, formed during the Oligocene transition from Southern Rocky Mountain volcanic field magmatism to rifting. In this subbasin, sediments are estimated to reach a maximum thickness of ~400 m within a north–south elongated structural depression. Other subbasins that likely initially developed during the Miocene are the dominant tectonic features in the southern San Luis Basin. This includes the Tres Orejas subbasin, which formed in the southwestern portion of the basin by the Embudo fault zone and a hypothesized fault zone along its western margin. This subbasin reaches a maximum thickness of ~2 km, as indicated by magnetotelluric and gravity modeling. The Sunshine Valley, Questa, and Taos subbasins occupy the eastern part of the southern San Luis Basin. The southern Sangre de Cristo fault zone is the dominant tectonic feature that controlled their development after ~20 Ma. The east-down Gorge fault zone controlled the western margins of significant parts of these eastern subbasins, although much of the Taos subbasin may be superimposed on the Tres Orejas subbasin. Maximum low-density basin-fill thicknesses are estimated to be 1.2 km for the Sunshine Valley subbasin, 800 m for the Questa subbasin, and 1.8 km for the Taos subbasin. Subbasin-forming tectonic activity along the Gorge fault zone and within the Tres Orejas subbasin ceased by the end of the development of the largely Pliocene Taos Plateau volcanic field. After that, rift-related subsidence became more narrowly centered on the eastern margin of the basin, controlled mainly by the linked Embudo and southern Sangre de Cristo fault zones.</span></p>","language":"English","publisher":"Rocky Mountain Geology","doi":"10.24872/rmgjournal.54.2.97","usgsCitation":"Drenth, B.J., Grauch, V.J., Turner, K.J., Rodriguez, B.D., Thompson, R., and Bauer, P.W., 2019, A shallow rift basin segmented in space and time: The southern San Luis Basin, Rio Grande rift, northern New Mexico, U.S.A.: Rocky Mountain Geology, v. 54, no. 2, p. 97-131, https://doi.org/10.24872/rmgjournal.54.2.97.","productDescription":"35 p.","startPage":"97","endPage":"131","ipdsId":"IP-104797","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":459077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24872/rmgjournal.54.2.97","text":"Publisher Index Page"},{"id":380645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"New Mexico","otherGeospatial":"San Luis Basin, Rio Grande rift","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.45751953125,\n              35.817813158696616\n            ],\n            [\n              -104.78759765625,\n              35.817813158696616\n            ],\n            [\n              -104.78759765625,\n              37.01132594307015\n            ],\n            [\n              -106.45751953125,\n              37.01132594307015\n            ],\n            [\n              -106.45751953125,\n              35.817813158696616\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Kenzie J. 0000-0002-4940-3981 kturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4940-3981","contributorId":496,"corporation":false,"usgs":true,"family":"Turner","given":"Kenzie","email":"kturner@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":805197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Ren A. 0000-0002-3044-3043","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":207982,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":805199,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bauer, Paul W.","contributorId":145562,"corporation":false,"usgs":false,"family":"Bauer","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":805200,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208734,"text":"70208734 - 2019 - Frequent use of upland habitats by the endangered Hawaiian stilt (Himantopus mexicanus knudseni)","interactions":[],"lastModifiedDate":"2020-02-27T06:44:37","indexId":"70208734","displayToPublicDate":"2019-12-01T06:43:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Frequent use of upland habitats by the endangered Hawaiian stilt (Himantopus mexicanus knudseni)","docAbstract":"The  Hawaiian Stilt, or Ae’o (Himantopus mexicanus knudseni), is an endangered waterbird endemic to the Hawaiian Islands. Loss of suitable wetland habitats due to anthropogenic development is a leading cause for decline, as well as the introduction of non-native predators and invasive wetland plants. This study fitted four Hawaiian Stilts with GPS satellite tags to document their use of wetland and surrounding habitats on Oahu Island. While other Hawaiian waterbirds are largely restricted to wetlands, we detected Hawaiian Stilts using heavily modified upland habitats, including developed areas, undeveloped fields, sports fields, as well as wetland habitats over a 6-month period. Overall, a high use of non-wetland habitat was observed (up to 58%), with significant differences in habitat occupancy among individual stilts and across different times of day. Wetlands were the dominant habitat occupied from morning to early afternoon, but non-wetland habitats were occupied at higher frequencies in the evening and early morning hours. Although only four birds were tracked, the extensive use of non-wetland habitat by these individuals indicates management of non-wetland habitats may be important for the conservation of this subspecies. However, more research is needed to understand how applicable these results are to other stilt popualtions across the Hawaiian Islands, and better understand the potential risks and benefits of these non-wetland habitats to stilt populations.","language":"English","publisher":"BioOne","doi":"10.1675/063.042.0408","usgsCitation":"Kawasaki, M., Hart, P.J., and Paxton, E., 2019, Frequent use of upland habitats by the endangered Hawaiian stilt (Himantopus mexicanus knudseni): Waterbirds, v. 42, no. 4, p. 431-438, https://doi.org/10.1675/063.042.0408.","productDescription":"8 p.","startPage":"431","endPage":"438","ipdsId":"IP-106610","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":437271,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RPU1X1","text":"USGS data release","linkHelpText":"Oahu Island Hawaiian stilt GPS satellite tracking data, 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 \"}}]}","volume":"42","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kawasaki, Martha","contributorId":222802,"corporation":false,"usgs":false,"family":"Kawasaki","given":"Martha","email":"","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":783211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":783212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":783210,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182770,"text":"70182770 - 2019 - Assessing North American multimodel ensemble (NMME) seasonal forecast skill to assist in the early warning of hydrometeorological extremes over East Africa","interactions":[],"lastModifiedDate":"2024-05-17T14:50:31.723618","indexId":"70182770","displayToPublicDate":"2019-12-01T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Assessing North American multimodel ensemble (NMME) seasonal forecast skill to assist in the early warning of hydrometeorological extremes over East Africa","docAbstract":"<p id=\"Par1\" class=\"Para\">The skill of North American multimodel ensemble (NMME) seasonal forecasts in East Africa (EA), which encompasses one of the most food and water insecure areas of the world, is evaluated using deterministic, categorical, and probabilistic evaluation methods. The skill is estimated for all three primary growing seasons: March–May (MAM), July–September (JAS), and October–December (OND). It is found that the precipitation forecast skill in this region is generally limited and statistically significant over only a small part of the domain. In the case of MAM (JAS) [OND] season it exceeds the skill of climatological forecasts in parts of equatorial EA (Northern Ethiopia) [equatorial EA] for up to 2 (5) [5] months lead. Temperature forecast skill is generally much higher than precipitation forecast skill (in terms of deterministic and probabilistic skill scores) and statistically significant over a majority of the region. Over the region as a whole, temperature forecasts also exhibit greater reliability than the precipitation forecasts. The NMME ensemble forecasts are found to be more skillful and reliable than the forecast from any individual model. The results also demonstrate that for some seasons (e.g. JAS), the predictability of precipitation signals varies and is higher during certain climate events (e.g. ENSO). Finally, potential room for improvement in forecast skill is identified in some models by comparing homogeneous predictability in individual NMME models with their respective forecast skill.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00382-016-3296-z","usgsCitation":"Shukla, S., Roberts, J., Hoell. Andrew, Funk, C., Robertson, F.R., and Kirtmann, B., 2019, Assessing North American multimodel ensemble (NMME) seasonal forecast skill to assist in the early warning of hydrometeorological extremes over East Africa: Climate Dynamics, v. 15, no. 12, p. 7411-7427, https://doi.org/10.1007/s00382-016-3296-z.","productDescription":"17 p.","startPage":"7411","endPage":"7427","ipdsId":"IP-069889","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":336787,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"East Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              22,\n             -8\n            ],\n            [\n              52,\n              -8\n            ],\n            [\n              52,\n              23\n            ],\n            [\n              22,\n              23\n            ],\n            [\n              22,\n              -8\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"12","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-29","publicationStatus":"PW","scienceBaseUri":"58b7eba3e4b01ccd5500bae3","chorus":{"doi":"10.1007/s00382-016-3296-z","url":"http://dx.doi.org/10.1007/s00382-016-3296-z","publisher":"Springer Nature","authors":"Shukla Shraddhanand, Roberts Jason, Hoell Andrew, Funk Christopher C., Robertson Franklin, Kirtman Ben","journalName":"Climate Dynamics","publicationDate":"7/29/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"7/29/2016"},"contributors":{"authors":[{"text":"Shukla, Shraddhanand","contributorId":145802,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":673688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Jason B.","contributorId":145808,"corporation":false,"usgs":false,"family":"Roberts","given":"Jason B.","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":673689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoell. Andrew","contributorId":145831,"corporation":false,"usgs":false,"family":"Hoell. Andrew","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":673690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":673687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robertson, Franklin R.","contributorId":145809,"corporation":false,"usgs":false,"family":"Robertson","given":"Franklin","email":"","middleInitial":"R.","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":673691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirtmann, Benjamin","contributorId":184160,"corporation":false,"usgs":false,"family":"Kirtmann","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":673692,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228105,"text":"70228105 - 2019 - Public access for pheasant hunters: Understanding an emerging need","interactions":[],"lastModifiedDate":"2022-02-04T20:44:13.320011","indexId":"70228105","displayToPublicDate":"2019-11-30T14:35:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Public access for pheasant hunters: Understanding an emerging need","docAbstract":"<p><span>Ring-necked pheasant (</span><i>Phasianus colchicus</i><span>; i.e., pheasant) hunting participation is declining across North America, reflecting a larger downward trend in American hunting participation and threatening benefits to grassland conservation and rural economies. To stabilize and expand the pheasant hunting population, we must first identify factors that influence pheasant hunter participation. We used an extensive in-person hunter survey to test the hypothesis that hunter demographics interact with social-ecological traits of hunting locations to affect hunter decisions, outcomes, and perceptions. We built a series of Bayesian mixed effects models to parse variation in demographics, perceptions, and hunt outcomes of pheasant hunters interviewed at public access hunting sites across 3 regions in Nebraska, USA, that varied in pheasant abundance and proximity to urban population centers. Among pheasant hunters in Nebraska, access to private lands was negatively related to the human population density of a pheasant hunter's home ZIP code and the distance a hunter had traveled to reach a hunting location. Pheasant hunters interviewed closer to metropolitan areas tended to be more urban and travel shorter distances, and their parties were more likely to include youth but less likely to include dogs. Hunter satisfaction was positively associated with seeing and harvesting pheasants and hunting with youth. Whereas youth participation and the number of pheasants seen varied by study region, hunter satisfaction did not differ across regions, suggesting that hunters may calibrate their expectations and build their parties based on where they plan to hunt. The variation in hunter demographics across hunting locations and disconnects between social and ecological correlates of hunter satisfaction suggests that diverse pheasant hunting constituencies will be best served by diverse pheasant hunting opportunities.</span></p>","language":"English","doi":"10.1002/jwmg.21785","usgsCitation":"Wszola, L., Madsen, A., Stuber, E., Chizinski, C., Lusk, J., Taylor, J., Pope, K.L., and Fontaine, J.J., 2019, Public access for pheasant hunters: Understanding an emerging need: Journal of Wildlife Management, v. 84, no. 1, p. 45-55, https://doi.org/10.1002/jwmg.21785.","productDescription":"11 p.","startPage":"45","endPage":"55","ipdsId":"IP-097657","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.90917968749999,\n              39.9434364619742\n            ],\n            [\n              -95.712890625,\n              39.9434364619742\n            ],\n            [\n              -95.712890625,\n              40.68063802521456\n            ],\n            [\n              -101.90917968749999,\n              40.68063802521456\n            ],\n            [\n              -101.90917968749999,\n              39.9434364619742\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wszola, L.S.","contributorId":274556,"corporation":false,"usgs":false,"family":"Wszola","given":"L.S.","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":833126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madsen, A.L.","contributorId":274557,"corporation":false,"usgs":false,"family":"Madsen","given":"A.L.","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":833127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stuber, E.F.","contributorId":205137,"corporation":false,"usgs":false,"family":"Stuber","given":"E.F.","email":"","affiliations":[{"id":37031,"text":"Nebraska Cooperative Fish & Wildlife Research Unit, University of Nebraska-Lincoln, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":833128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chizinski, Christopher J.","contributorId":274559,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher J.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":833129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lusk, J.J.","contributorId":205141,"corporation":false,"usgs":false,"family":"Lusk","given":"J.J.","email":"","affiliations":[{"id":18961,"text":"Nebraska Game and Parks Commission, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":833130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, J.S.","contributorId":274563,"corporation":false,"usgs":false,"family":"Taylor","given":"J.S.","email":"","affiliations":[{"id":56624,"text":"Pheasants Forever Inc. & Midwest Association of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":833131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833132,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fontaine, Joseph J. 0000-0002-7639-9156 jfontaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-9156","contributorId":3820,"corporation":false,"usgs":true,"family":"Fontaine","given":"Joseph","email":"jfontaine@usgs.gov","middleInitial":"J.","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":833133,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70206620,"text":"70206620 - 2019 - Tradition and science chronicle Pele's unyielding power","interactions":[],"lastModifiedDate":"2019-12-02T12:53:46","indexId":"70206620","displayToPublicDate":"2019-11-30T12:50:36","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tradition and science chronicle Pele's unyielding power","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fire & fury: 35 years of eruptions at Kilauea","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Mutual Publishing","isbn":"9781949307108","usgsCitation":"Kauahikaua, J.P., 2019, Tradition and science chronicle Pele's unyielding power, chap. <i>of</i> Fire & fury: 35 years of eruptions at Kilauea, 1 p.","productDescription":"1 p.","ipdsId":"IP-108883","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":369813,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://mutualpublishing.com/product/fire-and-fury/"},{"id":369814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.41500091552734,\n              19.29299799768025\n            ],\n            [\n              -155.14171600341797,\n              19.29299799768025\n            ],\n            [\n              -155.14171600341797,\n              19.483423604156762\n            ],\n            [\n              -155.41500091552734,\n              19.483423604156762\n            ],\n            [\n              -155.41500091552734,\n              19.29299799768025\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":775202,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70228247,"text":"70228247 - 2019 - Social status, forest disturbance, and Barred Owls shape long-term trends in breeding dispersal distance of Northern Spotted Owls","interactions":[],"lastModifiedDate":"2022-02-08T20:11:30.586865","indexId":"70228247","displayToPublicDate":"2019-11-30T12:43:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Social status, forest disturbance, and Barred Owls shape long-term trends in breeding dispersal distance of Northern Spotted Owls","docAbstract":"<p><span>Dispersal among breeding sites in territorial animals (i.e. breeding dispersal) is driven by numerous selection pressures, including competition and spatiotemporal variation in habitat quality. The scale and trend of dispersal movements over time may signal changing conditions within the population or on the landscape. We examined 2,158 breeding dispersal events from 694 male and 608 female individually marked Northern Spotted Owls (</span><i>Strix occidentalis caurina</i><span>) monitored over 28 yr on 7 study areas to assess the relative importance of individual (sex, experience), reproductive (annual productivity, mate availability), and environmental (forest alteration, presence of competitor) sources of variation in breeding dispersal distance. Median breeding dispersal distance was 3.17 km, with 99% of all breeding dispersal events &lt;37 km. Mean annual dispersal distances increased by 2.43 km in Oregon and 9.40 km in Washington between 1990 and 2017, which coincided with increases in annual detections of nonnative Barred Owl (</span><i>S. varia</i><span>). Frequency of breeding dispersal events, both among and within individuals, also increased over time. Female owls moved farther than males (median of 3.26 and 3.10 km, respectively), and birds with less experience (territory tenure) moved farther than those with more experience. Owls that were single in the year prior to dispersal moved 13–31% farther than those paired prior to dispersal. The greatest environmental change occurring over the course of our study was the expansion of Barred Owl populations. Breeding dispersal distance was positively related to Barred Owls in the study area and disturbance within the originating territory. While it appears that social factors continue to be important drivers of breeding dispersal distance in Spotted Owls, increased competition from Barred Owls and habitat alteration have a contributing effect. Increased breeding dispersal distances should be of concern for conservation efforts and considered in population monitoring because changing dispersal behavior may lead to higher rates of mortality and/or emigration from historical study areas.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duz055","usgsCitation":"Jenkins, J.M., Lesmeister, D.B., Forsman, E.D., Ackers, S.H., Dugger, K., Andrews, L.S., McCafferty, C.E., Pruett, M.S., Reid, J., Sovern, S.G., Horn, R., Gremel, S.A., Wiens, D., and Yang, Z., 2019, Social status, forest disturbance, and Barred Owls shape long-term trends in breeding dispersal distance of Northern Spotted Owls: Condor, v. 121, p. 1-17, https://doi.org/10.1093/condor/duz055.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-109481","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":459084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/condor/duz055","text":"Publisher Index Page"},{"id":395646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Klamath, Olympic Peninsula, Oregon Coast Range, South Cascades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.859375,\n              41.902277040963696\n            ],\n            [\n              -118.828125,\n              41.902277040963696\n            ],\n            [\n              -118.828125,\n              48.922499263758255\n            ],\n            [\n              -125.859375,\n              48.922499263758255\n            ],\n            [\n              -125.859375,\n              41.902277040963696\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"121","noUsgsAuthors":false,"publicationDate":"2019-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Julianna M. A.","contributorId":274938,"corporation":false,"usgs":false,"family":"Jenkins","given":"Julianna","email":"","middleInitial":"M. A.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":833524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesmeister, Damon B.","contributorId":274941,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":833525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forsman, Eric D.","contributorId":274943,"corporation":false,"usgs":false,"family":"Forsman","given":"Eric","email":"","middleInitial":"D.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":833526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ackers, Steven H.","contributorId":274945,"corporation":false,"usgs":false,"family":"Ackers","given":"Steven","email":"","middleInitial":"H.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":833527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, L. Steven","contributorId":274947,"corporation":false,"usgs":false,"family":"Andrews","given":"L.","email":"","middleInitial":"Steven","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":833528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCafferty, Chris E.","contributorId":274948,"corporation":false,"usgs":false,"family":"McCafferty","given":"Chris","email":"","middleInitial":"E.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":833529,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pruett, M. Shane","contributorId":274951,"corporation":false,"usgs":false,"family":"Pruett","given":"M.","email":"","middleInitial":"Shane","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":833530,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reid, Janice A.","contributorId":274954,"corporation":false,"usgs":false,"family":"Reid","given":"Janice A.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":833531,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sovern, Stan G.","contributorId":274957,"corporation":false,"usgs":false,"family":"Sovern","given":"Stan","email":"","middleInitial":"G.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":833532,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Horn, Rob B.","contributorId":274960,"corporation":false,"usgs":false,"family":"Horn","given":"Rob B.","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":833533,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gremel, Scott A.","contributorId":274962,"corporation":false,"usgs":false,"family":"Gremel","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":833534,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wiens, David 0000-0002-2020-138X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-138X","contributorId":274966,"corporation":false,"usgs":true,"family":"Wiens","given":"David","email":"jwiens@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833535,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yang, Zhiqiang","contributorId":274969,"corporation":false,"usgs":false,"family":"Yang","given":"Zhiqiang","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":833536,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70206721,"text":"70206721 - 2019 - Estimating market conditions for potential entry of new sources of anthropogenic CO2 for EOR in the Permian Basin","interactions":[],"lastModifiedDate":"2019-12-03T06:51:56","indexId":"70206721","displayToPublicDate":"2019-11-30T12:17:12","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Estimating market conditions for potential entry of new sources of anthropogenic CO2 for EOR in the Permian Basin","docAbstract":"This study attempts to determine feasible carbon dioxide (CO2) price thresholds for entry of new sources of anthropogenic (man-made) CO2 for utilization in enhanced oil recovery (EOR) in the Permian Basin. Much of the discussion about carbon capture, utilization, and storage (CCUS) has focused on the high costs of carbon capture as the major barrier to entry of new anthropogenic sources of CO2 for EOR. In addition, a recent study by Edwards and Celia (2018) suggests that the lack of a CO2 transportation network to efficiently transport CO2 from ethanol plants in the Midwest to EOR sites in the Permian Basin could be a prohibitive barrier to commercial-scale entry (without some Government assistance to help finance the construction of new CO2 pipelines), despite the costs of carbon capture from ethanol plants being relatively low. Thus, entry of additional sources of anthropogenic CO2 for use in EOR in the Permian Basin could be primarily by major carbon emitters that are located closest to the existing CO2 pipeline network that currently transports mostly natural CO2 (extracted from geologic reservoirs) to EOR sites. Data from the U.S. Environmental Protection Agency (EPA)’s Greenhouse Gas Reporting Program (GHGRP) (U.S. Environmental Protection Agency, 2019) suggest that numerous major CO2 emitters are located within 50 km of the existing pipeline network that provides CO2 for EOR in the Permian Basin. The costs for connecting these potential sources of CO2 to the existing transportation infrastructure could be very low. Of these potential sources of anthropogenic CO2, the leading emitters are coal-fired electricity generation plants, and the sources with next-largest emissions are natural gas-fired power plants. However, the CO2 concentrations in the emission streams of these types of power plants is typically far lower than that for ethanol plants and some other industrial facilities (including natural gas processing plants), which causes the estimated capture costs (using currently available technologies) to be far higher, in general. In addition, the potential cost (per metric ton of CO2 supplied) of adding these new sources of anthropogenic CO2 for EOR in the Permian basin could be greater than expanding production of existing suppliers and developing new sources of natural CO2. On the other hand, their proximity to the existing pipeline network could allow them to be viable sources of anthropogenic CO2 for EOR in the Permian Basin, and the relative competitiveness of these sources with the existing use of natural CO2 could be further enhanced if they qualify for the recently revised 45Q tax credit (Heitkamp, 2017). The results of this study provide some estimates of the potential gaps in the costs of CO2 supply from these distinct sources, and the potential implications of the results for the market conditions that could be necessary to overcome those gaps are discussed.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"U.S. Association for Energy Economics and International Association for Energy Economics North American Conference, 37th","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"U.S. Association for Energy Economics and International Association for Energy Economics North American Conference, 37th","conferenceDate":"November 3-6, 2019","conferenceLocation":"Denver, CO","language":"English","publisher":"U.S. Association for Energy Economics","usgsCitation":"Anderson, S.T., and Cahan, S., 2019, Estimating market conditions for potential entry of new sources of anthropogenic CO2 for EOR in the Permian Basin, <i>in</i> U.S. Association for Energy Economics and International Association for Energy Economics North American Conference, 37th, Denver, CO, November 3-6, 2019, 2 p.","productDescription":"2 p.","ipdsId":"IP-110474","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":369807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369308,"type":{"id":15,"text":"Index Page"},"url":"https://www.usaee.org/usaee2019/program_concurrent.aspx"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":775548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahan, Steven M. 0000-0002-4776-3668","orcid":"https://orcid.org/0000-0002-4776-3668","contributorId":205929,"corporation":false,"usgs":true,"family":"Cahan","given":"Steven M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":775549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217620,"text":"70217620 - 2019 - A shrubbier future: Forest transformation in the eastern Jemez Mountains","interactions":[],"lastModifiedDate":"2021-01-25T15:25:03.465327","indexId":"70217620","displayToPublicDate":"2019-11-30T09:24:16","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"A shrubbier future: Forest transformation in the eastern Jemez Mountains","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fire ghosts","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","usgsCitation":"Allen, C.D., 2019, A shrubbier future: Forest transformation in the eastern Jemez Mountains, chap. <i>of</i> Fire ghosts, p. 85-88.","productDescription":"4 p.","startPage":"85","endPage":"88","ipdsId":"IP-109025","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":382546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.875,\n              35.715298012125295\n            ],\n            [\n              -106.31469726562499,\n              35.715298012125295\n            ],\n            [\n              -106.31469726562499,\n              36.37485644939407\n            ],\n            [\n              -106.875,\n              36.37485644939407\n            ],\n            [\n              -106.875,\n              35.715298012125295\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":808921,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70211825,"text":"70211825 - 2019 - Laser-induced breakdown spectroscopy","interactions":[],"lastModifiedDate":"2020-08-10T13:49:41.483381","indexId":"70211825","displayToPublicDate":"2019-11-30T08:44:16","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Laser-induced breakdown spectroscopy","docAbstract":"<p><span>Laser-Induced Breakdown Spectroscopy (LIBS) is the remote elemental analysis technique used by the ChemCam instrument on the Curiosity rover. LIBS involves remotely ablating material from rocks and soils with a focused high-energy laser, which generates an optically excited plasma from which the elements in the rock or soil sample are quantitatively determined. The LIBS technique offers many advantages for remote chemical analysis. LIBS provides very rapid analyses without the need for any sample preparation. LIBS is capable of detecting all elements present above the detection limits independent of the atomic mass. LIBS quantitative analysis continues to evolve and produce accurate compositions with decreasing uncertainties. Furthermore, the matrix effects that tend to complicate most elemental analysis techniques like LIBS are increasingly exploited to extract more sample details. The focus of this chapter is to describe the current state of LIBS chemical analysis for remote planetary science.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote compositional analysis: Techniques for understanding spectroscopy, mineralogy, and geochemistry of planetary surfaces","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781316888872.010","usgsCitation":"Clegg, S.M., Anderson, R.B., and Melikechi, N., 2019, Laser-induced breakdown spectroscopy, chap. 8 <i>of</i> Remote compositional analysis: Techniques for understanding spectroscopy, mineralogy, and geochemistry of planetary surfaces, p. 168-190, https://doi.org/10.1017/9781316888872.010.","productDescription":"33 p.","startPage":"168","endPage":"190","ipdsId":"IP-081239","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":377269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Bishop, Janice L","contributorId":156315,"corporation":false,"usgs":false,"family":"Bishop","given":"Janice L","affiliations":[{"id":20310,"text":"SETI Institute, 89 Bernardo Ave, Suite 100, Mountain View, CA, USA 94043","active":true,"usgs":false}],"preferred":false,"id":795376,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bell, James F. III","contributorId":203789,"corporation":false,"usgs":false,"family":"Bell","given":"James","suffix":"III","email":"","middleInitial":"F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":795377,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Moersch, J.E.","contributorId":75309,"corporation":false,"usgs":true,"family":"Moersch","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":795378,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Clegg, Samuel M.","contributorId":23460,"corporation":false,"usgs":false,"family":"Clegg","given":"Samuel","email":"","middleInitial":"M.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":795254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":795255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melikechi, Noureddine","contributorId":22705,"corporation":false,"usgs":false,"family":"Melikechi","given":"Noureddine","email":"","affiliations":[],"preferred":false,"id":795375,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70214574,"text":"70214574 - 2019 - Wave-current interaction between Hurricane Matthew wave fields and the Gulf Stream","interactions":[],"lastModifiedDate":"2020-09-30T14:08:22.311228","indexId":"70214574","displayToPublicDate":"2019-11-29T09:03:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2426,"text":"Journal of Physical Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Wave-current interaction between Hurricane Matthew wave fields and the Gulf Stream","docAbstract":"Hurricanes interact with the Gulf Stream in the South Atlantic Bight (SAB) through a wide variety of processes, which are crucial to understand for prediction of open-ocean and coastal hazards during storms. However, it remains unclear how waves are modified by large-scale ocean currents under storm conditions, when waves are aligned with the storm-driven circulation and tightly coupled to the overlying wind field. Hurricane Matthew (2016) impacted the US southeast coast, causing extensive coastal change due to large waves and elevated water levels. The hurricane traveled on the continental shelf parallel to the SAB coastline, with the right side of the hurricane directly over the Gulf Stream. Using the Coupled Ocean Atmosphere Wave Sediment Transport Modeling System, we investigate wave-current interaction between Hurricane Matthew and the Gulf Stream. The model simulates ocean currents and waves over a grid encompassing the US east coast, with varied coupling of the hydrodynamic and wave components to isolate the effect of the currents on the waves, and the effect of the Gulf Stream relative to storm-driven circulation. The Gulf Stream modifies the direction of the storm-driven currents beneath the right side of the hurricane. Waves transitioned from following currents that result in wave lengthening, through negative current gradients that result in wave steepening and dissipation. Wave-current interaction over the Gulf Stream modified maximum coastal total water levels, and changed incident wave directions at the coast by up to 20°, with strong implications for the morphodynamic response and stability of the coast to the hurricane.","language":"English","publisher":"American Meteorology Society","doi":"10.1175/JPO-D-19-0124.1","usgsCitation":"Hegermiller, C., Warner, J., Olabarrieta, M., and Sherwood, C.R., 2019, Wave-current interaction between Hurricane Matthew wave fields and the Gulf Stream: Journal of Physical Oceanography, v. 49, no. 11, p. 2883-2900, https://doi.org/10.1175/JPO-D-19-0124.1.","productDescription":"18 p.","startPage":"2883","endPage":"2900","ipdsId":"IP-109198","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459087,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jpo-d-19-0124.1","text":"Publisher Index Page"},{"id":378900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"East Coast, Gulf Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.12109375,\n              16.97274101999902\n            ],\n            [\n              -78.046875,\n              24.5271348225978\n            ],\n            [\n              -73.47656249999999,\n              36.1733569352216\n            ],\n            [\n              -65.390625,\n              44.213709909702054\n            ],\n            [\n              -68.73046875,\n              46.07323062540835\n            ],\n            [\n              -80.85937499999999,\n              34.016241889667015\n            ],\n            [\n              -92.63671875,\n              32.24997445586331\n            ],\n            [\n              -101.77734374999999,\n              25.799891182088334\n            ],\n            [\n              -97.3828125,\n              19.145168196205297\n            ],\n            [\n              -90.17578124999999,\n              16.29905101458183\n            ],\n            [\n              -89.12109375,\n              16.97274101999902\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hegermiller, Christie 0000-0002-6383-7508","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":241895,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":true,"id":800130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":800131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":211373,"corporation":false,"usgs":false,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":800132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":800133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215197,"text":"70215197 - 2019 - Separating sea and slow slip signals on the seafloor","interactions":[],"lastModifiedDate":"2020-10-12T13:02:09.265924","indexId":"70215197","displayToPublicDate":"2019-11-29T08:00:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5999,"text":"Journal of Geophysical Research- Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Separating sea and slow slip signals on the seafloor","docAbstract":"<div class=\"article-section__content en main\"><p>Seafloor pressure measurements hold promise for estimating vertical displacements from transient slow slip events on submarine faults. We assess the accuracy of pressure offset estimates that evolve over days to weeks and the confidence with which they may be attributed to tectonic deformation or to the ocean water column. One common approach to resolve this ambiguity assumes water column pressures vary insignificantly over the study region and are represented by stable reference site pressures. Assessing the validity of this assumption requires independent evidence. Correlations between pressures and colocated temperatures collected during the Hikurangi Ocean Bottom Investigation of Tremor and Slow Slip experiment suggest temperatures might provide a useful independent proxy for water column pressures. We compared offsets estimated using several methods, with temperature and other proxies. The use of a temperature proxy was unsuccessful, because seafloor temperatures did not track the seasonal signal that contributes significantly to seafloor pressure changes over the slow slip event period. Regardless of the&nbsp;estimation method, offsets varied within a few cm around some uncertain reference level. Commonly used statistical measures are shown not to be reliable indicators of offset accuracy since offsets contribute minimally to the total variance. Offsets estimated using identical methods but with seafloor pressures simulated using a regional ocean model were larger than those derived from the data but had a similar pattern. Since the model simulates only water column processes, this suggests a significant fraction of the estimated pressure offsets are due to seasonal water column signal and are&nbsp;not of tectonic origin.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018285","usgsCitation":"Gomberg, J.S., Hautala, S., Johnson, P., and Chiswell, S., 2019, Separating sea and slow slip signals on the seafloor: Journal of Geophysical Research- Solid Earth, v. 124, no. 12, p. 13486-13503, https://doi.org/10.1029/2019JB018285.","productDescription":"18 p.","startPage":"13486","endPage":"13503","ipdsId":"IP-109456","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb018285","text":"Publisher Index Page"},{"id":379298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              177.418212890625,\n              -39.82541310342477\n            ],\n            [\n              179.219970703125,\n              -39.82541310342477\n            ],\n            [\n              179.219970703125,\n              -38.54816542304657\n            ],\n            [\n              177.418212890625,\n              -38.54816542304657\n            ],\n            [\n              177.418212890625,\n              -39.82541310342477\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"12","noUsgsAuthors":false,"publicationDate":"2019-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hautala, Susan","contributorId":194235,"corporation":false,"usgs":false,"family":"Hautala","given":"Susan","email":"","affiliations":[],"preferred":false,"id":801140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Paul","contributorId":189150,"corporation":false,"usgs":false,"family":"Johnson","given":"Paul","email":"","affiliations":[],"preferred":false,"id":801141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chiswell, Steve","contributorId":242932,"corporation":false,"usgs":false,"family":"Chiswell","given":"Steve","email":"","affiliations":[{"id":48587,"text":"National Institute of Water & Atmospheric Research Ltd","active":true,"usgs":false}],"preferred":false,"id":801142,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216036,"text":"70216036 - 2019 - Impacts of simulated M9 Cascadia Subduction Zone motions on idealized systems","interactions":[],"lastModifiedDate":"2020-11-04T00:16:06.950335","indexId":"70216036","displayToPublicDate":"2019-11-28T18:11:09","publicationYear":"2019","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":"Impacts of simulated M9 Cascadia Subduction Zone motions on idealized systems","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Ground motions have been simulated for a magnitude 9 (M9) Cascadia Subduction Zone earthquake, which will affect the Puget Lowland region, including cities underlain by the Seattle, Everett, and Tacoma sedimentary basins. The current national seismic maps do not account for the effects of these basins on the risk-targeted Maximum Considered Earthquake (MCE<sub>R</sub>). The simulated motions for Seattle had large spectral accelerations (at a period of 2 s, 43% of simulated M9 motions exceeded the MCE<sub>R</sub>), damaging spectral shapes (particularly at periods near 1 s), and long durations (5%–95% significant durations near 110 s). For periods of 1 s or longer, the resulting deformation demands and collapse likelihood for four sets of single-degree-of-freedom systems exceeded the corresponding values for motions consistent with the conditional mean spectra at the MCE<sub>R</sub><span>&nbsp;</span>intensity (MCE<sub>R</sub>). The regional variation of damage was estimated by combining probabilistic characterizations of the seismic resistance of structures and of the effective spectral acceleration,<span>&nbsp;</span><i>S</i><sub>a,eff</sub>, which accounts for the effects of spectral acceleration, spectral shape, and ground-motion duration. For high-strength, low-ductility systems located above deep basins (<i>Z</i><sub>2.5</sub><span>&nbsp;</span><i>&gt;</i><span>&nbsp;</span>6 km), the likelihood of collapse during an M9 earthquake averaged 13% and 18% at 1.0 s and 2.0 s periods, respectively. For low-strength, high-ductility systems, the corresponding likelihoods of collapse averaged 18% and 7%.</p></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/052418EQS123M","usgsCitation":"Marafi, N.A., Eberhard, M., Berman, J.W., Wirth, E.A., and Frankel, A.D., 2019, Impacts of simulated M9 Cascadia Subduction Zone motions on idealized systems: Earthquake Spectra, v. 35, no. 3, p. 1261-1287, https://doi.org/10.1193/052418EQS123M.","productDescription":"27 p.","startPage":"1261","endPage":"1287","ipdsId":"IP-104847","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":380097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Lowland region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.4423828125,\n              46.9052455464292\n            ],\n            [\n              -121.88232421875,\n              46.9052455464292\n            ],\n            [\n              -121.88232421875,\n              48.122101028190805\n            ],\n            [\n              -123.4423828125,\n              48.122101028190805\n            ],\n            [\n              -123.4423828125,\n              46.9052455464292\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":803840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberhard, Marc","contributorId":244355,"corporation":false,"usgs":false,"family":"Eberhard","given":"Marc","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":803841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berman, Jeffrey W.","contributorId":197876,"corporation":false,"usgs":false,"family":"Berman","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":803842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":803843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":803844,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211034,"text":"70211034 - 2019 - The 2018 update of the US National Seismic Hazard Model: Overview of model and implications","interactions":[],"lastModifiedDate":"2020-07-13T12:34:13.1599","indexId":"70211034","displayToPublicDate":"2019-11-28T15:52:54","publicationYear":"2019","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":"The 2018 update of the US National Seismic Hazard Model: Overview of model and implications","docAbstract":"<p><span>During 2017–2018, the National Seismic Hazard Model for the conterminous United States was updated as follows: (1) an updated seismicity catalog was incorporated, which includes new earthquakes that occurred from 2013 to 2017; (2) in the central and eastern United States (CEUS), new ground motion models were updated that incorporate updated median estimates, modified assessments of the associated epistemic uncertainties and aleatory variabilities, and new soil amplification factors; (3) in the western United States (WUS), amplified shaking estimates of long-period ground motions at sites overlying deep sedimentary basins in the Los Angeles, San Francisco, Seattle, and Salt Lake City areas were incorporated; and (4) in the conterminous United States, seismic hazard is calculated for 22 periods (from 0.01 to 10 s) and 8 uniform V</span><sub>S30</sub><span>&nbsp;maps (ranging from 1500 to 150 m/s). We also include a description of updated computer codes and modeling details. Results show increased ground shaking in many (but not all) locations across the CEUS (up to ~30%), as well as near the four urban areas overlying deep sedimentary basins in the WUS (up to ~50%). Due to population growth and these increased hazard estimates, more people live or work in areas of high or moderate seismic hazard than ever before, leading to higher risk of undesirable consequences from forecasted future ground shaking.</span></p>","language":"English","publisher":"Sage","doi":"10.1177/8755293019878199","usgsCitation":"Petersen, M.D., Shumway, A., Powers, P.M., Mueller, C., Moschetti, M.P., Frankel, A.D., Rezaeian, S., McNamara, D.E., Luco, N., Boyd, O.S., Rukstales, K.S., Jaiswal, K.S., Thompson, E.M., Hoover, S.M., Clayton, B., Field, E., and Zeng, Y., 2019, The 2018 update of the US National Seismic Hazard Model: Overview of model and implications: Earthquake Spectra, v. 36, no. 1, p. 5-41, https://doi.org/10.1177/8755293019878199.","productDescription":"37 p.","startPage":"5","endPage":"41","ipdsId":"IP-109680","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437273,"rank":0,"type":{"id":30,"text":"Data 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olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":792517,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rukstales, Kenneth S. 0000-0003-2818-078X rukstales@usgs.gov","orcid":"https://orcid.org/0000-0003-2818-078X","contributorId":775,"corporation":false,"usgs":true,"family":"Rukstales","given":"Kenneth","email":"rukstales@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":792518,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":792519,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":792520,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hoover, Susan M. 0000-0002-8682-6668 shoover@usgs.gov","orcid":"https://orcid.org/0000-0002-8682-6668","contributorId":5715,"corporation":false,"usgs":true,"family":"Hoover","given":"Susan","email":"shoover@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":792521,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Clayton, Brandon 0000-0003-0502-7184 bclayton@usgs.gov","orcid":"https://orcid.org/0000-0003-0502-7184","contributorId":197196,"corporation":false,"usgs":true,"family":"Clayton","given":"Brandon","email":"bclayton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":792522,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":1165,"corporation":false,"usgs":true,"family":"Field","given":"Edward H.","email":"field@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":792523,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":792524,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70215099,"text":"70215099 - 2019 - Petrology of the 2016–2017 eruption of Bogoslof Island","interactions":[],"lastModifiedDate":"2020-10-08T11:55:45.386827","indexId":"70215099","displayToPublicDate":"2019-11-28T14:21:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Petrology of the 2016–2017 eruption of Bogoslof Island","docAbstract":"The 2016–2017 eruption of Bogoslof primarily produced crystal-rich amphibole basalts. The dominant juvenile tephra were highly microlitic with diktytaxitic vesicles, and amphiboles had large reaction rims. Both observations support a magma history of slow ascent and/or shallow stalling prior to eruption. Plagioclase-amphibole-clinopyroxene mineralogy are also suggestive of shallow magma crystallization. Lavas were emplaced as shallow submarine lava domes and cryptodomes that produced 70 relatively short-lived and water-rich explosions over the course of the 9-month long eruption. The explosions ejected older trachyandesite lavas that were likely uplifted by cryptodome emplacement that began in December 2016 and continued for many months. Trachyte pumice, similar in composition to a 1796 lava dome, was entrained in basalts by the end of the eruption. The pumice appears to be a largely crystalline magma that was rejuvenated, entrained in the basalt, and heated to ~1000 ℃. The composition of trachytes require differentiation through stronger amphibole control than the apparent shallow crustal evolution implied for the basalt. This suggests that they are magmas derived from a mid-crustal zone of amphibole crystallization. Nearby arc-front volcanoes that notably lack amphibole have strikingly similar compositional trends. Trace element signatures of the Bogoslof basalts, however, suggest derivation from a mantle source with residual garnet and lower-degree melting than basalts from nearby arc-front volcanoes. The diversity of magmas erupted at Bogoslof thus provides an opportunity not only to probe rare backarc compositions from the Aleutian arc, but also to examine the apparent role of amphibole in generating evolved compositions more broadly in arc environments.","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1333-6","usgsCitation":"Loewen, M.W., Izbekof, P., Moshrefzadeh, J., Coombs, M.L., Larsen, J., Graham, N., Harbin, M., Waythomas, C.F., and Wallace, K.L., 2019, Petrology of the 2016–2017 eruption of Bogoslof Island: Bulletin of Volcanology, v. 81, 72, 20 p., https://doi.org/10.1007/s00445-019-1333-6.","productDescription":"72, 20 p.","ipdsId":"IP-107282","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.85986328124997,\n              53.595765008920814\n            ],\n            [\n              -167.244873046875,\n              53.595765008920814\n            ],\n            [\n              -167.244873046875,\n              54.42532191246645\n            ],\n            [\n              -168.85986328124997,\n              54.42532191246645\n            ],\n            [\n              -168.85986328124997,\n              53.595765008920814\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"81","noUsgsAuthors":false,"publicationDate":"2019-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":800854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbekof, Pavel 0000-0001-9052-7655","orcid":"https://orcid.org/0000-0001-9052-7655","contributorId":242806,"corporation":false,"usgs":false,"family":"Izbekof","given":"Pavel","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":800855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moshrefzadeh, Jamshid 0000-0001-7333-5651","orcid":"https://orcid.org/0000-0001-7333-5651","contributorId":242807,"corporation":false,"usgs":false,"family":"Moshrefzadeh","given":"Jamshid","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":800856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":800857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Jessica 0000-0003-1171-129X","orcid":"https://orcid.org/0000-0003-1171-129X","contributorId":242808,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":800858,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, Nathan 0000-0002-8100-207X","orcid":"https://orcid.org/0000-0002-8100-207X","contributorId":242809,"corporation":false,"usgs":false,"family":"Graham","given":"Nathan","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":800859,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harbin, Michelle","contributorId":242810,"corporation":false,"usgs":false,"family":"Harbin","given":"Michelle","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":800860,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":800861,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":800862,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208420,"text":"70208420 - 2019 - Increases in life-safety risks to building occupants from induced earthquakes in the central United States","interactions":[],"lastModifiedDate":"2020-02-09T13:19:55","indexId":"70208420","displayToPublicDate":"2019-11-28T13:16:01","publicationYear":"2019","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":"Increases in life-safety risks to building occupants from induced earthquakes in the central United States","docAbstract":"Earthquake occurrence rates in some parts of the central United States have been elevated for a number of years; this increase has been widely attributed to deep wastewater injection associated with oil and gas activities. This induced seismicity has caused damage to buildings and infrastructure and substantial public concern. In March 2016, the U.S. Geological Survey (USGS) published its first earthquake ground motion hazard model that accounts for the elevated seismicity, producing a one-year forecast encompassing both induced and natural earthquakes. To assess the potential impacts of the elevated seismicity on buildings and the public, this paper quantifies forecasted risks of a) building collapse and b) falling of nonstructural building components, by combining the 2016 USGS hazard model with fragility curves for generic modern code-compliant buildings. The assessment shows significant increases in both types of risk compared to that due to non-induced earthquakes alone; the magnitudes of the increases vary from a few times to more than a 100 times, depending on location, building period (which is correlated to building height), alternatives for the hazard model, and the type of risk of interest. For exploratory purposes only, we also estimate revised values of the risk-targeted ground motion that are currently used for designing buildings.","language":"English","publisher":"SAGE","doi":"10.1193/041618EQS095M","usgsCitation":"Liu, T., Luco, N., and Liel, A.B., 2019, Increases in life-safety risks to building occupants from induced earthquakes in the central United States: Earthquake Spectra, v. 35, no. 2, p. 471-488, https://doi.org/10.1193/041618EQS095M.","productDescription":"18 p.","startPage":"471","endPage":"488","ipdsId":"IP-103586","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas, Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.26123046875,\n              32.08257455954592\n            ],\n            [\n              -94.46044921875,\n              32.08257455954592\n            ],\n            [\n              -94.46044921875,\n              36.94989178681327\n            ],\n            [\n              -100.26123046875,\n              36.94989178681327\n            ],\n            [\n              -100.26123046875,\n              32.08257455954592\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Taojun","contributorId":201798,"corporation":false,"usgs":false,"family":"Liu","given":"Taojun","email":"","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":781813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":781812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liel, Abbie B.","contributorId":184158,"corporation":false,"usgs":false,"family":"Liel","given":"Abbie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":781814,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207980,"text":"70207980 - 2019 - Orogenic recycling of detrital zircons characterizes age distributions of North American Cordilleran strata","interactions":[],"lastModifiedDate":"2021-04-02T14:31:04.434435","indexId":"70207980","displayToPublicDate":"2019-11-28T10:51:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Orogenic recycling of detrital zircons characterizes age distributions of North American Cordilleran strata","docAbstract":"<div id=\"pb-page-content\" data-ng-non-bindable=\"\"><div data-pb-dropzone=\"main\" data-pb-dropzone-name=\"Main\"><div class=\"pageBody hub-page-body body-text\" data-widget-def=\"pageBody\" data-widget-id=\"72100436-7a82-49fc-933b-c6c9d8c42914\"><div class=\"page-body pagefulltext\"><div data-pb-dropzone=\"main\"><div class=\"hub-main-content\" data-widget-def=\"ux3-layout-widget\" data-widget-id=\"0f7bccba-8328-4dbd-a1fa-e84c526dd9ab\"><div class=\"container\"><div class=\"row\"><div class=\"agu-hub col-md-12\"><div class=\"row article-row\"><div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group\"><div class=\"article-section__content en main\"><p><span>Detrital zircon (DZ) analysis has become the standard tool for source‐to‐sink sediment routing studies at many spatial and temporal scales. In North American source‐to‐sink studies, DZ distributions are commonly classified according to the presence/absence and proportions of DZ age groups associated with North American crustal provinces as well as peri‐Gondwanan and Cordilleran terranes. Although such a classification scheme is descriptive, these age groups typically do not uniquely identify most recent DZ source areas. Using a compilation of &gt;19,000 individual DZ ages for Mesoproterozoic‐Paleogene strata of the northern Rocky Mountains, including 2,053 new analyses from the Paleogene Renova Formation and its equivalents in southwestern Montana, we demonstrate periodic derivation of first‐cycle DZ from crystalline sources and widespread recycling of poly‐cycle DZ from sedimentary sources over multimillion‐year timescales. Results show that (1) DZ age distributions become increasingly complex between Mesoproterozoic and Paleogene time with the introduction of new DZ sources to the study area, but (2) once an age group appears in the northern Rocky Mountains stratigraphy, grains of that age persist up‐section. These trends show that most DZ age groups are spatiotemporally ubiquitous and nonunique. We largely attribute this to periodic, tectonically induced recycling of DZ into progressively younger sedimentary systems, rather than prolonged derivation of DZ from crystalline basement sources, a trend that reflects the growth of increasingly complex topography associated with the North American Cordillera.</span></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019TC005810","usgsCitation":"Schwartz, T.M., Schwartz, R., and Weislogel, A., 2019, Orogenic recycling of detrital zircons characterizes age distributions of North American Cordilleran strata: Tectonics, v. 38, no. 12, p. 4320-4334, https://doi.org/10.1029/2019TC005810.","productDescription":"15 p.","startPage":"4320","endPage":"4334","ipdsId":"IP-110379","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":371464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.19140625,\n              43.691707903073805\n            ],\n            [\n              -109.48974609375,\n              43.691707903073805\n            ],\n            [\n              -109.48974609375,\n              46.17983040759436\n            ],\n            [\n              -116.19140625,\n              46.17983040759436\n            ],\n            [\n              -116.19140625,\n              43.691707903073805\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"12","noUsgsAuthors":false,"publicationDate":"2019-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schwartz, Theresa Maude 0000-0001-6606-4072","orcid":"https://orcid.org/0000-0001-6606-4072","contributorId":221707,"corporation":false,"usgs":false,"family":"Schwartz","given":"Theresa","email":"","middleInitial":"Maude","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":780021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Robert K.","contributorId":221708,"corporation":false,"usgs":false,"family":"Schwartz","given":"Robert K.","affiliations":[],"preferred":false,"id":780022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weislogel, A.L.","contributorId":45896,"corporation":false,"usgs":true,"family":"Weislogel","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":780023,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70223764,"text":"70223764 - 2019 - Salinity and water clarity dictate seasonal variability in coastal submerged aquatic vegetation in subtropical estuarine environments","interactions":[],"lastModifiedDate":"2021-09-07T15:09:15.564186","indexId":"70223764","displayToPublicDate":"2019-11-28T10:04:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"title":"Salinity and water clarity dictate seasonal variability in coastal submerged aquatic vegetation in subtropical estuarine environments","docAbstract":"<p><span>Spatial and temporal variability characterize submerged aquatic vegetation (SAV) assemblages, but understanding the complex interactions of environmental drivers of SAV assemblages remains elusive. We documented SAV composition and biomass across a salinity gradient in a coastal estuary over 12 mo. Ten macrophyte species were identified. The dominant species,&nbsp;</span><i>Ceratophyllum demersum</i><span>&nbsp;and&nbsp;</span><i>Myriophyllum spicatum,</i><span>&nbsp;accounted for over 40% of total biomass. Only&nbsp;</span><i>Ruppia maritima</i><span>&nbsp;occurred across the salinity gradient. Salinity, water depth and clarity delineated 3 assemblages: a saline assemblage, and 2 groups of fresher-water species, one associated with deeper water and lower water clarity and the other associated with shallow water and higher water clarity. These assemblages exhibited intra-annual variation, with at least 5 times more biomass in late spring/mid-summer compared to early winter. This pattern was consistent across the estuary, although the difference between peak and low biomass varied by habitat type; brackish exhibited the greatest magnitude. This variation is likely due to higher variation in salinity and the species composition of this habitat. As climate change and coastal restoration impact timing and range of salinity, water depth and clarity in this region, these data can be used to help inform predictive models and management decisions.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/ab00719","usgsCitation":"Hillmann, E.R., DeMarco, K., and La Peyre, M., 2019, Salinity and water clarity dictate seasonal variability in coastal submerged aquatic vegetation in subtropical estuarine environments: Aquatic Biology, v. 28, p. 175-186, https://doi.org/10.3354/ab00719.","productDescription":"12 p.","startPage":"175","endPage":"186","ipdsId":"IP-105293","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":459093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/ab00719","text":"Publisher Index Page"},{"id":388877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.483154296875,\n              28.748396571187406\n            ],\n            [\n              -88.956298828125,\n              28.748396571187406\n            ],\n            [\n              -88.956298828125,\n              30.330212685432734\n            ],\n            [\n              -91.483154296875,\n              30.330212685432734\n            ],\n            [\n              -91.483154296875,\n              28.748396571187406\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillmann, Eva R.","contributorId":200686,"corporation":false,"usgs":false,"family":"Hillmann","given":"Eva","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":822573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeMarco, Kristin","contributorId":200003,"corporation":false,"usgs":false,"family":"DeMarco","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":822574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":822576,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216102,"text":"70216102 - 2019 - The behavior of the Salesforce Tower, the tallest building in San Francisco, California inferred from earthquake and ambient shaking","interactions":[],"lastModifiedDate":"2020-11-05T13:39:35.933412","indexId":"70216102","displayToPublicDate":"2019-11-28T07:31:51","publicationYear":"2019","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":"The behavior of the Salesforce Tower, the tallest building in San Francisco, California inferred from earthquake and ambient shaking","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>The newly constructed tallest building designed in conformance with performance-based design procedure in San Francisco, California is a 61-story building equipped with an accelerometric array that recorded the January 4, 2018 M4.4 Berkeley earthquake. The building is designed with concrete core shear walls and perimeter gravity steel columns. The earthquake records as well as on-demand recorded ambient responses of the building are studied to determine its dynamic characteristics and building-specific behavior. At the level of shaking of either the earthquake or ambient excitation, the frequencies and low modal damping ratios (&lt;2%) are similar. The building exhibits torsional behavior most likely due to abrupt asymmetrical changes in the size of the core shear wall. The translational and torsional modes during the earthquake are closely coupled, which leads to a beating effect, the period of which is calculable. Due to the relatively low-amplitude shaking during the earthquake, the drift ratios were small and did not cause any damage. It is expected that during stronger shaking levels, these characteristics may change.</p></div></div>","language":"English","publisher":"Sage Journals","doi":"10.1193/112918EQS273M","usgsCitation":"Celebi, M., Haddadi, H., Huang, M., Valley, M., Hooper, J., and Klemencic, R., 2019, The behavior of the Salesforce Tower, the tallest building in San Francisco, California inferred from earthquake and ambient shaking: Earthquake Spectra, v. 35, no. 4, p. 1711-1737, https://doi.org/10.1193/112918EQS273M.","productDescription":"27 p.","startPage":"1711","endPage":"1737","ipdsId":"IP-114320","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":380183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.52639770507812,\n              37.667516276171426\n            ],\n            [\n              -122.32864379882811,\n              37.667516276171426\n            ],\n            [\n              -122.32864379882811,\n              37.820632846207864\n            ],\n            [\n              -122.52639770507812,\n              37.820632846207864\n            ],\n            [\n              -122.52639770507812,\n              37.667516276171426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":804095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haddadi, H.","contributorId":12673,"corporation":false,"usgs":false,"family":"Haddadi","given":"H.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":804096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Moh","contributorId":146970,"corporation":false,"usgs":false,"family":"Huang","given":"Moh","email":"","affiliations":[],"preferred":false,"id":804097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valley, Michael","contributorId":48464,"corporation":false,"usgs":true,"family":"Valley","given":"Michael","affiliations":[],"preferred":false,"id":804129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooper, John","contributorId":146972,"corporation":false,"usgs":false,"family":"Hooper","given":"John","affiliations":[],"preferred":false,"id":804130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klemencic, Ron","contributorId":146973,"corporation":false,"usgs":false,"family":"Klemencic","given":"Ron","email":"","affiliations":[],"preferred":false,"id":804131,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215317,"text":"70215317 - 2019 - Potential threats facing a globally important population of the magnificent frigatebird Fregata magnificens","interactions":[],"lastModifiedDate":"2020-10-16T14:15:55.277198","indexId":"70215317","displayToPublicDate":"2019-11-27T12:10:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7163,"text":"Tropical Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential threats facing a globally important population of the magnificent frigatebird <i>Fregata magnificens</i>","title":"Potential threats facing a globally important population of the magnificent frigatebird Fregata magnificens","docAbstract":"<div class=\"hlFld-Abstract test\"><div class=\"abstractSection abstractInFull\"><p>Tracking of seabirds has been used to identify foraging hotspots, migratory routes and to assess at-sea threats facing populations. One such threat is the potential negative interaction between seabirds and fisheries through incidental by-catch. In 2012, 60 magnificent frigatebirds<span>&nbsp;</span><i>Fregata magnificens</i><span>&nbsp;</span>were found dead, entangled in fishing line, at the globally important breeding site in the British Virgin Islands (BVI). To assess the potential relationship between foraging behaviour and fishing activity, data loggers were deployed on breeding magnificent frigatebirds to record foraging movements. In addition, a survey of local fishers was conducted to assess the scale of incidental by-catch. We recorded 28 complete foraging trips from GPS and GPS-GSM loggers, and 1758 PTT locations. Birds travelled up to 3.3–1067 km from their breeding colony and entered the waters of 10 neighbouring territories. A high percentage of fishers (93%<span>&nbsp;</span><i>n</i> = 28) reported catching at least one seabird annually, of which the most common were magnificent frigatebirds and brown boobies<span>&nbsp;</span><i>Sula leucogaster</i>. There are estimated to be at least 1112 vessels in the recreational and artisanal fishing fleets of BVI and its neighbouring islands. Thus, this substantial fishery may have potentially profound effects on seabird populations in the region.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/03946975.2019.1682352","usgsCitation":"Zaluski, S., Soanes, L., Bright, J., Georges, A., Jodice, P.G., Meyer, K., N., W.P., and Green, J., 2019, Potential threats facing a globally important population of the magnificent frigatebird Fregata magnificens: Tropical Zoology, v. 32, no. 4, p. 188-201, https://doi.org/10.1080/03946975.2019.1682352.","productDescription":"14 p.","startPage":"188","endPage":"201","ipdsId":"IP-070962","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502429,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/4fbe5e50633d473e8da2edd444dfde43","text":"External Repository"},{"id":379467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Zaluski, S.","contributorId":243185,"corporation":false,"usgs":false,"family":"Zaluski","given":"S.","email":"","affiliations":[{"id":48654,"text":"Jost Van Dykes Preservation Society","active":true,"usgs":false}],"preferred":false,"id":801680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soanes, L.M.","contributorId":243186,"corporation":false,"usgs":false,"family":"Soanes","given":"L.M.","email":"","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":801681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bright, J.A.","contributorId":243187,"corporation":false,"usgs":false,"family":"Bright","given":"J.A.","email":"","affiliations":[{"id":38853,"text":"Royal Society for the Protection of Birds","active":true,"usgs":false}],"preferred":false,"id":801682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Georges, A.","contributorId":239467,"corporation":false,"usgs":false,"family":"Georges","given":"A.","email":"","affiliations":[{"id":47871,"text":"Institute for Applied Ecology, University of Canberra, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":801683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","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":801684,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyer, K.","contributorId":243188,"corporation":false,"usgs":false,"family":"Meyer","given":"K.","affiliations":[{"id":48655,"text":"Avian Research and Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":801685,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"N., Woodfield- Pascoe","contributorId":243189,"corporation":false,"usgs":false,"family":"N.","given":"Woodfield-","email":"","middleInitial":"Pascoe","affiliations":[{"id":48656,"text":"National Parks Trust of the Virgin Islands","active":true,"usgs":false}],"preferred":false,"id":801686,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Green, J.A","contributorId":243190,"corporation":false,"usgs":false,"family":"Green","given":"J.A","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":801687,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70206787,"text":"ofr20191081 - 2019 - 3D geologic framework for use with the U.S. Geological Survey National Crustal Model, Phase 1—Western United States","interactions":[],"lastModifiedDate":"2022-04-21T18:33:47.275626","indexId":"ofr20191081","displayToPublicDate":"2019-11-27T11:10:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1081","displayTitle":"3D Geologic Framework for Use with the U.S. Geological Survey National Crustal Model, Phase 1—Western United States","title":"3D geologic framework for use with the U.S. Geological Survey National Crustal Model, Phase 1—Western United States","docAbstract":"<p>A 3D geologic framework is presented here as part of the U.S. Geological Survey National Crustal Model for the western United States, which will be used to improve seismic hazard assessment. The framework is based on 1:250,000 to 1:1,000,000-scale state geologic maps and depths of multiple subsurface unit boundaries. The geology at or near the Earth’s surface is based on published maps with modifications to remove discontinuities across state borders. Extrapolation of rock type and age in the subsurface is achieved by iterative stripping of units of a given age, nearest neighbor interpolation of the remaining units, and constraints on basement geology. The subsurface depth of the interfaces between units is determined by a range of models with varying quantity and quality of constraints. Bedrock depth is derived primarily from a proxy model with added geophysical constraint in some areas. The depths to the base of Cenozoic and Phanerozoic sedimentary and extrusive volcanic rocks are constrained by geophysical methods in many areas. Elsewhere, a simple method is used to estimate their subsurface depth based on the distance to the edge of the geologic units. The remaining continental units are evenly distributed above, below, and between depending on age. The oceanic crust is treated as a simple four-layer model with the added complexity of subduction beneath the North American plate along the Cascadia subduction zone.</p><p>Refinements to this technique may be accomplished in future versions of the model with more specific information including the location of faults to produce discontinuities in geologic structure and additional information obtained from boreholes and geophysical studies. Further improvements to the geologic framework may be made by incorporating information from more local studies, for example, hydrogeologic studies.</p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191081","usgsCitation":"Boyd, O.S., 2019, 3D Geologic framework for use with the U.S. Geological Survey National Crustal Model, Phase 1—Western United States: U.S. Geological Survey Open-File Report 2019–1081, 36 p., https://doi.org/10.3133/ofr20191081.","productDescription":"Report: vii, 36 p.; Data Release","onlineOnly":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437274,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94MGWUR","text":"USGS data release","linkHelpText":"GeoFram"},{"id":399412,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109580.htm"},{"id":369408,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SBQENM","text":"USGS data release","linkHelpText":"3D Geologic Framework for use with the U.S. Geological Survey National Crustal Model, Phase 1: Western United States"},{"id":369407,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1081/ofr20191081.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1081"},{"id":369405,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1081/coverthb2.jpg"},{"id":370582,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2019/1081/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2019-1081 version history"}],"otherGeospatial":"Western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125,\n              31.3289\n            ],\n            [\n              -100,\n              31.3289\n            ],\n            [\n              -100,\n              49\n            ],\n            [\n              -125,\n              49\n            ],\n            [\n              -125,\n              31.3289\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geohazards\" data-mce-href=\"https://www.usgs.gov/centers/geohazards\">Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-966<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Geology and Age of Rocks at or Near the Earth’s Surface</li><li>Lithology and Age of Subsurface Layers</li><li>Subsurface Layer Depth and Elevation</li><li>Model Cross Sections</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. Age Dictionary and Mapping</li><li>Appendix 2. Lithology Dictionary and Mapping</li><li>Appendix 3. Exceptions to Geologic Map Modification Rules</li></ul>","publishedDate":"2019-11-27","revisedDate":"2019-12-20","noUsgsAuthors":false,"publicationDate":"2019-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":775750,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}