{"pageNumber":"771","pageRowStart":"19250","pageSize":"25","recordCount":165479,"records":[{"id":70202028,"text":"70202028 - 2018 - Groundwater modeling","interactions":[],"lastModifiedDate":"2019-02-07T10:45:21","indexId":"70202028","displayToPublicDate":"2019-01-01T10:45:06","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Groundwater modeling","docAbstract":"

The state of the science and practice in groundwater modeling brings to mind highly sophisticated computer models that are running in parallel on many multi-processor machines. These models are expected to incorporate many different processes of both saturated and unsaturated groundwater flow and transport and possibly the media to which it connects, like surface waters and the atmosphere. We are increasingly aware we cannot study groundwater flow in isolation if we are to make useful predictions of, for instance, the impacts of climate change on the groundwater regime. We have come a long way.

Today we are no longer limited to equations for flow toward a well, perhaps near an infinitely long straight canal (method of images), to sandbox models in the laboratory, or to simple steady state models of flow in a single aquifer. We now have computer models that solve groundwater flow and transport in multi-aquifer settings under transient conditions and with a user-friendly graphical user interface that allows widespread use. Additionally, multi-media models are now leaving the research environment and becoming available to mainstream consultants. So in that sense the science of groundwater modeling has matured.

The practice of groundwater modeling, however, has also matured. We have come to realize that model output, being a necessary simplification of an unknowably complex natural world, has inherent limitations. That is, a model of reality is not reality itself. There is uncertainty associated with all facets of our model—parameterization, aquifer geometry and discretization, boundary conditions, and future hydrologic drivers such as future pumping regimes and climates. Today a model is now more appropriately seen as a tool that provides a quantitative framework to make supportable forecasts rather than an oracle that gives us all the answers.

In this chapter we set out to briefly review the state of the science and practice in modeling. In doing so, we augment existing assessments from the journal Groundwater (e.g., Hunt and Zheng 2012; Langevin and Panday 2012; Molz 2017a,b; White 2017), specifically in terms of modeling approach. An effective modeling approach is critical. If a modeler does not decompose the societal problem correctly, the model will not be fit-for-purpose, no matter how sophisticated the code’s capabilities. Moreover, capabilities of codes will be ever improving; good modeling practices have a timelessness that is more robust.

How best to decompose the problem and provide models that are accepted? We lay out here some approaches for today’s applied groundwater modeling. Specifically, we suggest: (1) a step-wise modeling process; (2) including a two-dimensional areal model within this process; (3) keeping abreast of industry standards; and (4) ways to increase acceptance of the models we produce.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Groundwater: State of the science and practice","language":"English","publisher":"National Groundwater Association","isbn":"1-56034-047-9","usgsCitation":"Haitjema, H.M., and Hunt, R., 2018, Groundwater modeling, chap. of Groundwater: State of the science and practice, p. 41-46.","productDescription":"6 p.","startPage":"41","endPage":"46","ipdsId":"IP-101055","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":361072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361067,"type":{"id":15,"text":"Index Page"},"url":"https://groundwatersolutionsgroup.com/wp-content/uploads/2018/12/Science-and-Practice_10.17_FINAL.pdf#page=45"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haitjema, Henk M.","contributorId":74678,"corporation":false,"usgs":true,"family":"Haitjema","given":"Henk","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":756765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":208800,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[],"preferred":true,"id":756764,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201875,"text":"70201875 - 2018 - Southeast","interactions":[],"lastModifiedDate":"2019-02-01T10:40:51","indexId":"70201875","displayToPublicDate":"2019-01-01T10:40:46","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Southeast","docAbstract":"

The Southeast includes vast expanses of coastal and inland low-lying areas, the southern portion of the Appalachian Mountains, numerous high-growth metropolitan areas, and large rural expanses. These beaches and bayous, fields and forests, and cities and small towns are all at risk from a changing climate. While some climate change impacts, such as sea level rise and extreme downpours, are being acutely felt now, others, like increasing exposure to dangerous high temperatures, humidity, and new local diseases, are expected to become more significant in the coming decades. While all regional residents and communities are potentially at risk for some impacts, some communities or populations are at greater risk due to their locations, services available to them, and economic situations.

Observed warming since the mid-20th century has been uneven in the Southeast region, with average daily minimum temperatures increasing three times faster than average daily maximum temperatures. The number of extreme rainfall events is increasing. Climate model simulations of future conditions project increases in both temperature and extreme precipitation.

Trends towards a more urbanized and denser Southeast are expected to continue, creating new climate vulnerabilities. Cities across the Southeast are experiencing more and longer summer heat waves. Vector-borne diseases pose a greater risk in cities than in rural areas because of higher population densities and other human factors, and the major urban centers in the Southeast are already impacted by poor air quality during warmer months. Increasing precipitation and extreme weather events will likely impact roads, freight rail, and passenger rail, which will likely have cascading effects across the region. Infrastructure related to drinking water and wastewater treatment also has the potential to be compromised by climate-related events. Increases in extreme rainfall events and high tide coastal floods due to future climate change will impact the quality of life of permanent residents as well as tourists visiting the low-lying and coastal regions of the Southeast. Sea level rise is contributing to increased coastal flooding in the Southeast, and high tide flooding already poses daily risks to businesses, neighborhoods, infrastructure, transportation, and ecosystems in the region. There have been numerous instances of intense rainfall events that have had devastating impacts on inland communities in recent years.

The ecological resources that people depend on for livelihoods, protection, and well-being are increasingly at risk from the impacts of climate change. Sea level rise will result in the rapid conversion of coastal, terrestrial, and freshwater ecosystems to tidal saline habitats. Reductions in the frequency and intensity of cold winter temperature extremes are already allowing tropical and subtropical species to move northward and replace more temperate species. Warmer winter temperatures are also expected to facilitate the northward movement of problematic invasive species, which could transform natural systems north of their current distribution. In the future, rising temperatures and increases in the duration and intensity of drought are expected to increase wildfire occurrence and also reduce the effectiveness of prescribed fire practices.

Many in rural communities are maintaining connections to traditional livelihoods and relying on natural resources that are inherently vulnerable to climate changes. Climate trends and possible climate futures show patterns that are already impacting—and are projected to further impact—rural sectors, from agriculture and forestry to human health and labor productivity. Future temperature increases are projected to pose challenges to human health. Increases in temperatures, water stress, freeze-free days, drought, and wildfire risks, together with changing conditions for invasive species and the movement of diseases, create a number of potential risks for existing agricultural systems. Rural communities tend to be more vulnerable to these changes due to factors such as demography, occupations, earnings, literacy, and poverty incidence. In fact, a recent economic study using a higher scenario (RCP8.5) suggests that the southern and midwestern populations are likely to suffer the largest losses from future climate changes in the United States. Climate change tends to compound existing vulnerabilities and exacerbate existing inequities. Already poor regions, including those found in the Southeast, are expected to continue incurring greater losses than elsewhere in the United States.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume II","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Global Change Research Program","doi":"10.7930/NCA4.2018.CH19","usgsCitation":"Carter, L., Terando, A.J., Dow, K., Hiers, K., Kunkel, K.E., Lascurain, A.R., Marcy, D., Osland, M.J., and Schramm, P., 2018, Southeast, 66 p., https://doi.org/10.7930/NCA4.2018.CH19.","productDescription":"66 p.","startPage":"743","endPage":"808","ipdsId":"IP-103837","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":468164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7930/nca4.2018.ch19","text":"Publisher Index Page"},{"id":360910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Reidmiller, David 0000-0001-9321-7548","orcid":"https://orcid.org/0000-0001-9321-7548","contributorId":212241,"corporation":false,"usgs":true,"family":"Reidmiller","given":"David","email":"","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":755810,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Avery, C. W.","contributorId":212242,"corporation":false,"usgs":false,"family":"Avery","given":"C.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":755811,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Easterling, D. R.","contributorId":212243,"corporation":false,"usgs":false,"family":"Easterling","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":755812,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Kunkel, K. E.","contributorId":83626,"corporation":false,"usgs":true,"family":"Kunkel","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":755813,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Lewis, K. L. M.","contributorId":212244,"corporation":false,"usgs":false,"family":"Lewis","given":"K.","email":"","middleInitial":"L. M.","affiliations":[],"preferred":false,"id":755814,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Maycock, T. K.","contributorId":212245,"corporation":false,"usgs":false,"family":"Maycock","given":"T.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":755815,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Stewart, B. C.","contributorId":212246,"corporation":false,"usgs":false,"family":"Stewart","given":"B.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":755816,"contributorType":{"id":2,"text":"Editors"},"rank":7}],"authors":[{"text":"Carter, Lynne","contributorId":212191,"corporation":false,"usgs":false,"family":"Carter","given":"Lynne","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":755695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":755696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dow, Kirstin 0000-0002-4547-5566","orcid":"https://orcid.org/0000-0002-4547-5566","contributorId":212192,"corporation":false,"usgs":false,"family":"Dow","given":"Kirstin","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":755697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hiers, Kevin","contributorId":212193,"corporation":false,"usgs":false,"family":"Hiers","given":"Kevin","email":"","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":755698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kunkel, Kenneth E.","contributorId":147887,"corporation":false,"usgs":false,"family":"Kunkel","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":755699,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lascurain, Aranzazu R.","contributorId":173919,"corporation":false,"usgs":false,"family":"Lascurain","given":"Aranzazu","email":"","middleInitial":"R.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":755700,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marcy, Doug","contributorId":212194,"corporation":false,"usgs":false,"family":"Marcy","given":"Doug","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":755701,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":755702,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schramm, Paul","contributorId":212195,"corporation":false,"usgs":false,"family":"Schramm","given":"Paul","email":"","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":755703,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70201876,"text":"70201876 - 2018 - U.S. Caribbean","interactions":[],"lastModifiedDate":"2019-02-01T10:37:14","indexId":"70201876","displayToPublicDate":"2019-01-01T10:37:01","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"U.S. Caribbean","docAbstract":"

Historically, the U.S. Caribbean region has experienced relatively stable seasonal rainfall patterns, moderate annual temperature fluctuations, and a variety of extreme weather events, such as tropical storms, hurricanes, and drought. However, the Caribbean climate is changing and is projected to be increasingly variable as levels of greenhouse gases in the atmosphere increase.

The high percentage of coastal area relative to the total island land area in the U.S. Caribbean means that a large proportion of the region’s people, infrastructure, and economic activity are vulnerable to sea level rise, more frequent intense rainfall events and associated coastal flooding, and saltwater intrusion. High levels of exposure and sensitivity to risk in the U.S. Caribbean region are compounded by a low level of adaptive capacity, due in part to the high costs of mitigation and adaptation measures relative to the region’s gross domestic product, particularly when compared to continental U.S. coastal areas. The limited geographic and economic scale of Caribbean islands means that disruptions from extreme climate-related events, such as droughts and hurricanes, can devastate large portions of local economies and cause widespread damage to crops, water supplies, infrastructure, and other critical resources and services.

The U.S. Caribbean territories of Puerto Rico and the U.S. Virgin Islands (USVI) have distinct differences in topography, language, population size, governance, natural and human resources, and economic capacity. However, both are highly dependent on natural and built coastal assets; service-related industries account for more than 60% of the USVI economy. Beaches, affected by sea level rise and erosion, are among the main tourist attractions. In Puerto Rico, critical infrastructure (for example, drinking water pipelines and pump stations, sanitary pipelines and pump stations, wastewater treatment plants, and power plants) is vulnerable to the effects of sea level rise, storm surge, and flooding. In the USVI, infrastructure and historical buildings in the inundation zone for sea level rise include the power plants on both St. Thomas and St. Croix; schools; housing communities; the towns of Charlotte Amalie, Christiansted, and Frederiksted; and pipelines for water and sewage.

Climate change will likely result in water shortages due to an overall decrease in annual rainfall, a reduction in ecosystem services, and increased risks for agriculture, human health, wildlife, and socioeconomic development in the U.S. Caribbean. These shortages would result from some locations within the Caribbean experiencing longer dry seasons and shorter, but wetter, wet seasons in the future. Extended dry seasons are projected to increase fire likelihood. Excessive rainfall, coupled with poor construction practices, unpaved roads, and steep slopes, can exacerbate erosion rates and have adverse effects on reservoir capacity, water quality, and nearshore marine habitats.

Ocean warming poses a significant threat to the survival of corals and will likely also cause shifts in associated habitats that compose the coral reef ecosystem. Severe, repeated, or prolonged periods of high temperatures leading to extended coral bleaching can result in colony death. Ocean acidification also is likely to diminish the structural integrity of coral habitats. Studies show that major shifts in fisheries distribution and changes to the structure and composition of marine habitats adversely affect food security, shoreline protection, and economies throughout the Caribbean.

In Puerto Rico, the annual number of days with temperatures above 90°F has increased over the last four and a half decades. During that period, stroke and cardiovascular disease, which are influenced by such elevated temperatures, became the primary causes of death. Increases in average temperature and in extreme heat events will likely have detrimental effects on agricultural operations throughout the U.S. Caribbean region. Many farmers in the tropics, including the U.S. Caribbean, are considered small-holding, limited resource farmers and often lack the resources and/or capital to adapt to changing conditions.

Most Caribbean countries and territories share the need to assess risks, enable actions across scales, and assess changes in ecosystemsto inform decision-making on habitat protection under a changing climate. U.S. Caribbean islands have the potential to improve adaptation and mitigation actions by fostering stronger collaborations with Caribbean initiatives on climate change and disaster risk reduction.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume II","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Global Change Research Program","doi":"10.7930/NCA4.2018.CH20","usgsCitation":"Gould, W.A., Diaz, E.L., Alvarez-Berrios, N.L., Aponte-Gonzalez, F., Archibald, W., Bowden, J.H., Carrubba, L., Crespo, W., Fain, S.J., Gonzalez, G., Goulbourne, A., Harmsen, E., Holupchinski, E., Khalyani, A.H., Kossin, J.P., Leinberger, A.J., Marrero-Santiago, V.I., Martinez-Sanchez, O., McGinley, K., Mendez-Lazaro, P., Morrell, J., Melendez Oyola, M., Pares-Ramos, I.K., Pulwarty, R., Sweet, W.V., Terando, A.J., and Torres-González, S., 2018, U.S. Caribbean, 63 p., https://doi.org/10.7930/NCA4.2018.CH20.","productDescription":"63 p.","startPage":"809","endPage":"871","ipdsId":"IP-103838","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":468165,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7930/nca4.2018.ch20","text":"Publisher Index Page"},{"id":360909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Reidmiller, David 0000-0001-9321-7548","orcid":"https://orcid.org/0000-0001-9321-7548","contributorId":212241,"corporation":false,"usgs":true,"family":"Reidmiller","given":"David","email":"","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":755803,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Avery, C. 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0000-0002-4898-7591","orcid":"https://orcid.org/0000-0002-4898-7591","contributorId":212218,"corporation":false,"usgs":false,"family":"Torres-González","given":"Sigfredo","affiliations":[{"id":38463,"text":"Retired, USGS Caribbean-Florida Water Science Center","active":true,"usgs":false}],"preferred":false,"id":755730,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}} ,{"id":70201877,"text":"70201877 - 2018 - Northern Great Plains","interactions":[],"lastModifiedDate":"2019-02-01T10:31:05","indexId":"70201877","displayToPublicDate":"2019-01-01T10:30:59","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Northern Great Plains","docAbstract":"

In the Northern Great Plains, the timing and quantity of both precipitation and runoff have important consequences for water supplies, agricultural activities, and energy production. Overall, climate projections suggest that the number of heavy precipitation events (events with greater than 1 inch per day of rainfall) is projected to increase. Moving forward, the magnitude of year-to-year variability overshadows the small projected average decrease in streamflow. Changes in extreme events are likely to overwhelm average changes in both the eastern and western regions of the Northern Great Plains. Major flooding across the basin in 2011 was followed by severe drought in 2012, representing new and unprecedented variability that is likely to become more common in a warmer world.

The Northern Great Plains region plays a critical role in national food security. Among other anticipated changes, projected warmer and generally wetter conditions with elevated atmospheric carbon dioxide concentrations are expected to increase the abundance and competitive ability of weeds and invasive species, increase livestock production and efficiency of production, and result in longer growing seasons at mid- and high latitudes. Net primary productivity, including crop yields and forage production, is also likely to increase, although an increasing number of extreme temperature events during critical pollination and grain fill periods is likely to reduce crop yields.

Ecosystems across the Northern Great Plains provide recreational opportunities and other valuable goods and services that are ingrained in the region’s cultures. Higher temperatures, reduced snow cover, and more variable precipitation will make it increasingly challenging to manage the region’s valuable wetlands, rivers, and snow-dependent ecosystems. In the mountains of western Wyoming and western Montana, the fraction of total water in precipitation that falls as snow is expected to decline by 25% to 40% by 2100 under a higher scenario (RCP8.5), which would negatively affect the region’s winter recreation industry. At lower-elevation areas of the Northern Great Plains, climate-induced land-use changes in agriculture can have cascading effects on closely entwined natural ecosystems, such as wetlands, and the diverse species and recreational opportunities they support.

Energy resources in the Northern Great Plains include abundant crude oil, natural gas, coal, wind, and stored water, and to a lesser extent, corn-based ethanol, solar energy, and uranium. The infrastructure associated with the extraction, distribution, and energy produced from these resources is vulnerable to the impacts of climate change. Railroads and pipelines are vulnerable to damage or disruption from increasing heavy precipitation events and associated flooding and erosion. Declining water availability in the summer would likely increase costs for oil production operations, which require freshwater resources. These cost increases will either lead to lower production or be passed on to consumers. Finally, higher maximum temperatures, longer and more severe heat waves, and higher overnight lows are expected to increase electricity demand for cooling in the summer, further stressing the power grid.

Indigenous peoples in the region are observing changes to climate, many of which are impacting livelihoods as well as traditional subsistence and wild foods, wildlife, plants and water for ceremonies, medicines, and health and well-being. Because some tribes and Indigenous peoples are among those in the region with the highest rates of poverty and unemployment, and because many are still directly reliant on natural resources, they are among the most at risk to climate change (e.g., Gamble et al. 2016, Cozzetto et al. 2013, Espey et al. 2014, Wong et al. 2014, Kornfeld 2016, Paul and Caplins 2016, Maynard 2014, USGCRP 2017)

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume II","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Global Change Research Program","doi":"10.7930/NCA4.2018.CH22","usgsCitation":"Conant, R.T., Kluck, D., Anderson, M.T., Badger, A., Boustead, B.M., Derner, J.D., Farris, L., Hayes, M., Livneh, B., McNeeley, S., Peck, D., Shulski, M., and Small, V., 2018, Northern Great Plains, 26 p., https://doi.org/10.7930/NCA4.2018.CH22.","productDescription":"26 p.","startPage":"941","endPage":"986","ipdsId":"IP-103839","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":468166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7930/nca4.2018.ch22","text":"Publisher Index Page"},{"id":360908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Reidmiller, David 0000-0001-9321-7548","orcid":"https://orcid.org/0000-0001-9321-7548","contributorId":212241,"corporation":false,"usgs":true,"family":"Reidmiller","given":"David","email":"","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":755796,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Avery, C. W.","contributorId":212242,"corporation":false,"usgs":false,"family":"Avery","given":"C.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":755797,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Easterling, D. R.","contributorId":212243,"corporation":false,"usgs":false,"family":"Easterling","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":755798,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Kunkel, K. E.","contributorId":83626,"corporation":false,"usgs":true,"family":"Kunkel","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":755799,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Lewis, K. L. M.","contributorId":212244,"corporation":false,"usgs":false,"family":"Lewis","given":"K.","email":"","middleInitial":"L. M.","affiliations":[],"preferred":false,"id":755800,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Maycock, T. K.","contributorId":212245,"corporation":false,"usgs":false,"family":"Maycock","given":"T.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":755801,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Stewart, B. C.","contributorId":212246,"corporation":false,"usgs":false,"family":"Stewart","given":"B.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":755802,"contributorType":{"id":2,"text":"Editors"},"rank":7}],"authors":[{"text":"Conant, Richard T.","contributorId":207107,"corporation":false,"usgs":false,"family":"Conant","given":"Richard","email":"","middleInitial":"T.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":755731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluck, Doug 0000-0002-9698-7991","orcid":"https://orcid.org/0000-0002-9698-7991","contributorId":212219,"corporation":false,"usgs":false,"family":"Kluck","given":"Doug","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":755732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Mark T. 0000-0002-1477-6788 manders@usgs.gov","orcid":"https://orcid.org/0000-0002-1477-6788","contributorId":1764,"corporation":false,"usgs":true,"family":"Anderson","given":"Mark","email":"manders@usgs.gov","middleInitial":"T.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":755733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Badger, Andrew 0000-0003-4537-9993","orcid":"https://orcid.org/0000-0003-4537-9993","contributorId":212220,"corporation":false,"usgs":false,"family":"Badger","given":"Andrew","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":755734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boustead, Barbara M. 0000-0002-0230-7001","orcid":"https://orcid.org/0000-0002-0230-7001","contributorId":212221,"corporation":false,"usgs":false,"family":"Boustead","given":"Barbara","email":"","middleInitial":"M.","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":755735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Derner, Justin D.","contributorId":195928,"corporation":false,"usgs":false,"family":"Derner","given":"Justin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":755736,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Farris, Laura","contributorId":212222,"corporation":false,"usgs":false,"family":"Farris","given":"Laura","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":755737,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hayes, Michael","contributorId":192358,"corporation":false,"usgs":false,"family":"Hayes","given":"Michael","affiliations":[],"preferred":false,"id":755738,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Livneh, Ben","contributorId":145804,"corporation":false,"usgs":false,"family":"Livneh","given":"Ben","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":755739,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McNeeley, Shannon","contributorId":202840,"corporation":false,"usgs":false,"family":"McNeeley","given":"Shannon","affiliations":[],"preferred":false,"id":755740,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Peck, Dannele","contributorId":202842,"corporation":false,"usgs":false,"family":"Peck","given":"Dannele","affiliations":[],"preferred":false,"id":755741,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shulski, Martha","contributorId":212223,"corporation":false,"usgs":false,"family":"Shulski","given":"Martha","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":755742,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Small, Valerie","contributorId":212224,"corporation":false,"usgs":false,"family":"Small","given":"Valerie","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":755743,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70202197,"text":"70202197 - 2018 - The tectonically controlled San Gabriel Channel–Lobe Transition Zone, Catalina Basin, Southern California Borderland","interactions":[],"lastModifiedDate":"2019-02-14T10:24:22","indexId":"70202197","displayToPublicDate":"2019-01-01T10:24:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"The tectonically controlled San Gabriel Channel–Lobe Transition Zone, Catalina Basin, Southern California Borderland","docAbstract":"

High-resolution geophysical data across the Catalina Basin, offshore southern California, USA, reveal a complex channel–lobe transition zone (CLTZ) and provide an opportunity to characterize an entire seafloor CLTZ in a tectonically active and confined-basin setting. The seafloor morphology, distribution of depositional and erosional features, and location of depocenters in the CLTZ are controlled by shifting confinement and seafloor gradient related to inherited basement structures, active faults, and basin margins. Below a Holocene hemipelagic drape, the Catalina Basin is dominated by CLTZ and lobe sedimentation from the San Gabriel Channel, with lesser accumulations from local sediment sources limited to basin margins. The San Gabriel Channel is structurally confined as it enters the Catalina Basin and appears unable to avulse; it continues into the basin as a channel that rapidly widens, decreases in relief, and becomes scoured at its margins. A CLTZ is imaged between the confined San Gabriel channel and its terminal lobes deposited > 50 km into the basin. Narrow, apparently disconnected channels with knickpoints occur throughout the proximal and mid-CLTZ and are concentrated near basement highs and basin-bounding Quaternary-active dextral strike-slip faults. A field of small-scale erosional crescent-shaped scours (∼ 100 m length, ∼ 200 m width, up to ∼ 10 m relief across ∼ 30 km2region) occurs above a partially buried basement high that creates perturbations in seafloor gradient. Likewise, above a buried basement structure that locally increases seafloor gradient (up to 0.4°), the distal CLTZ may contain sediment waves (∼ 2–4 m wave height and ∼ 200–300 m wavelength) that are smaller than many other CLTZ examples. This study of the San Gabriel CLTZ in Catalina Basin provides high-resolution geophysical data coverage of a complete CLTZ and illustrates a tectonically controlled end-member CLTZ from the modern seafloor.

","language":"English","publisher":"SEPM","doi":"10.2110/jsr.2018.50","usgsCitation":"Maier, K.L., Roland, E., Walton, M.A., Conrad, J.E., Brothers, D., Dartnell, P., and Kluesner, J., 2018, The tectonically controlled San Gabriel Channel–Lobe Transition Zone, Catalina Basin, Southern California Borderland: Journal of Sedimentary Research, v. 88, no. 8, p. 942-959, https://doi.org/10.2110/jsr.2018.50.","productDescription":"18 p.","startPage":"942","endPage":"959","ipdsId":"IP-094240","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Catalina Basin, Southern California Borderland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.8333,\n 33\n ],\n [\n -118,\n 33\n ],\n [\n -118,\n 33.5\n ],\n [\n -118.8333,\n 33.5\n ],\n [\n -118.8333,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Maier, Katherine L. 0000-0003-2908-3340 kcoble@usgs.gov","orcid":"https://orcid.org/0000-0003-2908-3340","contributorId":4926,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine","email":"kcoble@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roland, Emily C.","contributorId":147830,"corporation":false,"usgs":false,"family":"Roland","given":"Emily C.","affiliations":[{"id":13254,"text":"University of Washington, School of Oceanography","active":true,"usgs":false}],"preferred":false,"id":757196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton, Maureen A. L. 0000-0001-8496-463X","orcid":"https://orcid.org/0000-0001-8496-463X","contributorId":211025,"corporation":false,"usgs":true,"family":"Walton","given":"Maureen","email":"","middleInitial":"A. L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brothers, Daniel S. 0000-0001-7702-157X","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":210199,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kluesner, Jared W. 0000-0003-1701-8832","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":206367,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757200,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202804,"text":"70202804 - 2018 - Shrimp U-Pb zircon and opal geochronology, isotope geochemistry, and genesis of the super large Be deposit at Spor Mountain, Utah, USA","interactions":[],"lastModifiedDate":"2019-12-04T18:50:48","indexId":"70202804","displayToPublicDate":"2018-12-31T18:49:43","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Shrimp U-Pb zircon and opal geochronology, isotope geochemistry, and genesis of the super large Be deposit at Spor Mountain, Utah, USA","docAbstract":"Ongoing studies of the Spor Mountain beryllium (Be) deposit are focused on (1) characterizing the role of igneous rocks in the genesis of the ore zones, (2) determining the timing and duration of magmatic-hydrothermal events, and (3) establishing processes related to beryllium transport and accumulation. The Spor Mountain Formation (SMF) hosts the deposit, which is the largest known volcanic rock-related Be deposit in the world. Discovery of the Be deposit at Spor Mountain in the 1960s displaced beryl as the main commercial source of beryllium in the global supply chain. Technological advances in mineral processing enabled bertrandite (Be4Si2O7(OH)2) ore of variable grade and composition from Spor Mountain to compete with beryl ore derived from pegmatite. The deposit currently accounts for approximately 85% of the global beryllium mine production.\nThe Be deposit is in the Basin and Range province of North America, which is characterized by Oligocene and Eocene calderas, extensive alkalic rhyolitic lava and ash flow tuffs, widespread uranium and fluorite occurrences, and Precambrian to Paleozoic sedimentary rocks. The SMF consists of a hydrothermally-altered, fluorite-bearing, lithic-rich (clasts of carbonate, quartzite, and older volcanic rocks) pyroclastic tuff (informal name: Be tuff member) that is overlain by altered, porphyritic, and topaz-rich rhyolite (alkali rhyolite member). The tuff encloses elongate mineralized layers containing numerous nodules that consist of calcite, chalcedony, opal, fluorite, and bertrandite (Be4Si2O7(OH)2, the main ore mineral.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Magmatism of the Earth and related Strategic Metal Deposits","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Magmatism of the Earth and Related Strategic Metal Deposits","conferenceDate":"September 3-7, 2018","conferenceLocation":"Moscow, Russia","language":"English","usgsCitation":"Foley, N.K., and Ayuso, R.A., 2018, Shrimp U-Pb zircon and opal geochronology, isotope geochemistry, and genesis of the super large Be deposit at Spor Mountain, Utah, USA, in Magmatism of the Earth and related Strategic Metal Deposits, Moscow, Russia, September 3-7, 2018, p. 90-94.","productDescription":"5 p.","startPage":"90","endPage":"94","ipdsId":"IP-096788","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":369941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369940,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://magmas-and-metals.ru"}],"country":"United States","state":"Utah","otherGeospatial":"Spor Mountain Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.22200775146483,\n 39.69463958513244\n ],\n [\n -113.14922332763672,\n 39.69463958513244\n ],\n [\n -113.14922332763672,\n 39.76738084178371\n ],\n [\n -113.22200775146483,\n 39.76738084178371\n ],\n [\n -113.22200775146483,\n 39.69463958513244\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760096,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70197878,"text":"70197878 - 2018 - Fault displacement hazard for strike-slip faults","interactions":[],"lastModifiedDate":"2019-06-27T16:25:46","indexId":"70197878","displayToPublicDate":"2018-12-31T16:21:11","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Fault displacement hazard for strike-slip faults","docAbstract":"In this paper we summarize data, methods, and models developed for a probabilistic assessment of fault displacement hazards across the U.S. We compare earthquake displacement data and empirical fault displacement models that have been developed for normal faults, strike-slip faults, and reverse faults. In general, the data and models are similar near the center of the fault for the three faulting types, but differ near the ends with the strike-slip data being lower than the reverse and normal faulting data. We also compare these U.S. models with data and equations developed using Japanese fault displacement data. The Japan model is also similar to the U.S. models near the center of the fault but decays less rapidly near the ends of the fault. In addition, we discuss impacts of models developed to analyze off-fault strain on secondary faults, multi-strand displacement hazard, and various mapping quality factors. For our study, we show example fault displacements for a M 7 fault with recurrence of 800 and 1600 years. We conclude that a deterministic assessment of fault displacements is often higher than the probabilistic displacements for less active faults with earthquake rupture recurrence that is longer than the hazard return period of interest. Fault displacement hazard is applied in engineering applications for buildings, bridges, pipelines, and nuclear facilities. We present three applications for fault displacement hazard at nuclear facilities and important structures.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earthquake Engineering. National Conference. 11TH 2018. (11NCEE) (12 Vols) Integrating Science, Engineering, and Policy","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eleventh U.S. National Conference on Earthquake Engineering","conferenceDate":"June 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Petersen, M.D., and Chen, R., 2018, Fault displacement hazard for strike-slip faults, in Earthquake Engineering. National Conference. 11TH 2018. (11NCEE) (12 Vols) Integrating Science, Engineering, and Policy, v. 3, Los Angeles, CA, June 25-29, 2018, p. 1794-1805.","productDescription":"12 p.","startPage":"1794","endPage":"1805","ipdsId":"IP-096800","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":738897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Rui","contributorId":187504,"corporation":false,"usgs":false,"family":"Chen","given":"Rui","email":"","affiliations":[],"preferred":false,"id":738898,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196245,"text":"70196245 - 2018 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2017","interactions":[],"lastModifiedDate":"2019-12-30T09:24:17","indexId":"70196245","displayToPublicDate":"2018-12-31T16:20:33","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2017","docAbstract":"This report presents biomass-based summaries of fish communities in western Lake Erie derived from USGS bottom trawl surveys from 2013 to 2017 during June and September. The survey design provided temporal and spatial coverage that does not exist in the interagency trawl database, and thus complemented the August Ohio-Ontario effort to reinforce stock assessments with more robust data. Analyses herein evaluated trends in: total biomass, abundance of dominant predator and forage species, non-native species composition, biodiversity and community structure. Data from this effort can be explored interactively online (https://lebs.shinyapps.io/western-basin/), and future analyses will be supported by public data and metadata records available on ScienceBase (https://doi.org/10.5066/F7KK9B1R).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled reports to the Great Lakes Fishery Commission of the annual bottom trawl and acoustics surveys, 2017","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Keretz, K.R., Kocovsky, P., Kraus, R.T., and Vandergoot, C., 2018, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2017, 11 p.","productDescription":"11 p.","startPage":"106","endPage":"116","ipdsId":"IP-095150","costCenters":[{"id":324,"text":"Great Lakes Science 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The 2017 survey was conducted during September and included transects in Lake Huron’s main basin, Georgian Bay, and North Channel. Mean lake-wide pelagic fish density was 1582 fish/ha and mean pelagic fish biomass was 10.5 kg/ha in 2017, which represents 96% and 93% of the long-term mean respectively. Mean lake-wide biomass was 23% higher in 2017 as compared to 2016. The total estimated lake-wide standing stock biomass of pelagic fish species, excluding cisco, was ~49 kt (± 10.4 kt), consisting almost entirely of bloater (26.8 kt; 55%) and rainbow smelt (22 kt; 45%), with small contributions from sticklebacks (0.13 kt; 0.26 %), emerald shiner (0.09 kt; 0.18%), and alewife (0.004kt; <0.005%). Age-0 rainbow smelt abundance increased from 155 fish/ha in 2016 to 598 fish/ha in 2017. Biomass of age-1+ rainbow smelt increased from 2.5 kg/ha in 2016 to 4.1 kg/ha in 2017. Age-0 bloater abundance increased from 94 fish/ha in 2016 to 342 fish/ha in 2017. Biomass of age-1+ bloater in 2017 (5.0 kg/ha) remained at levels similar to 2016 (5.2 kg/ha). Emerald shiner density decreased from 38.6 fish/ha in 2016 to 19.5 fish/ha in 2017. Emerald shiner biomass remained at 0.02 kg/ha between 2016-2017 which represented 19% of the long-term mean. Cisco lake-wide mean biomass was estimated at 2.2 kg/ha and mean density was estimated at 5.1 fish/ha in 2017. 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Marine terraces are common on the Pacific Coast of North America and record interglacial high-sea stands superimposed on either stable or tectonically rising crustal blocks. Despite many years of study of these landforms in southern California, little work on terraces has been conducted on the two smallest of the California Channel Islands, Santa Barbara Island (SBI) and Anacapa Island (ANA). Presented here are new field and laboratory data on the ages, paleontology, and sea level history of marine terraces of these two islands. On both islands, the lowest marine terraces have shoreline angle elevations of ∼11 m above sea level. Amino acid geochronology shows that terrace deposits on both islands host fossils of two ages, one group dating to the ∼120-ka high-sea stand and the other group likely dating to the ∼100-ka high-sea stand. A mix of fossil ages is consistent with the paleontology as well, with SBI in particular showing a faunal assemblage that includes both extralimital southern and southward-ranging species (inferred to be from the ∼120-ka high-sea stand) and extralimital northern and northward-ranging species (inferred to be from the ∼100-ka high-sea stand). Fossil mixing from these two high-sea stands supports the hypothesis that glacial isostatic adjustment (GIA) processes have left a strong imprint on the geologic record of sea level history in southern California. Nevertheless, the elevations of these terraces and that of a low terrace on Santa Cruz Island indicate that modeled GIA estimates of paleo-sea level for the peak of the last interglacial period at ∼120 ka could be too high. Future development of models of GIA effects on the Pacific Coast of North America will need to consider geologic records, such as those from SBI and ANA, in refining reconstructions of sea level history.

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This chapter provides a brief background on climate change science, climate simulation models, and models that project the impacts of changes in climate on tree species and ecosystems. Throughout the chapter, boxes list resources for more information on each topic. A more detailed scientific review of climate change science, trends, and modeling can be found in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (IPCC 2014), and the Fourth National Climate Assessment (U.S. Global Climate Research Program [USGCRP] 2017).

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M.","contributorId":206026,"corporation":false,"usgs":false,"family":"Turcotte","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":37220,"text":"USDA Forest Service, Northeastern Area State & Private Forestry","active":true,"usgs":false}],"preferred":false,"id":806551,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Weinstein, David A.","contributorId":206027,"corporation":false,"usgs":false,"family":"Weinstein","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":806552,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Yanez, Alfonso","contributorId":206028,"corporation":false,"usgs":false,"family":"Yanez","given":"Alfonso","email":"","affiliations":[{"id":37222,"text":"Shippensburg University","active":true,"usgs":false}],"preferred":false,"id":806553,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70197879,"text":"70197879 - 2018 - Preliminary 2018 national seismic hazard model for the conterminous United States","interactions":[],"lastModifiedDate":"2019-06-27T16:19:28","indexId":"70197879","displayToPublicDate":"2018-12-31T15:51:06","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary 2018 national seismic hazard model for the conterminous United States","docAbstract":"The 2014 U.S. Geological Survey national seismic hazard model for the conterminous U.S. will be updated in 2018 and 2020 to coincide with the Building Seismic Safety Council’s Project 17 timeline for development of new building code design criteria. The two closely timed updates are planned to allow more time for the Provisions Update Committee to analyze the consequences of the hazard model changes in the design criteria. To prepare the 2018 update we held a workshop (March 7-8, 2018) with scientists and engineers to solicit feedback on the model. The 2018 model will be available for public comment during the summer of 2018. The purpose of this paper is to solicit feedback on the modeling choices and results. The 2018 NSHM considers an updated seismicity catalog and certain key changes in the way ground motions are calculated. First, we implemented new Next Generation Attenuation Relationships for the Central and Eastern North America Region and other published models that allow for the calculation of ground motions at additional periods and site classes in the central and eastern U.S. (CEUS). Second, basin depth terms were implemented in the ground motion models in select regions of the western U.S. (WUS) to account for enhanced long-period ground motions at softer soil sites overlying sedimentary basins. Preliminary results indicate higher ground motions for all periods in parts of the CEUS and for long-periods and soft soils in urban areas overlying sedimentary basins in the WUS.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earthquake Engineering. National Conference. 11TH 2018. (11NCEE) (12 Vols) Integrating Science, Engineering, and Policy","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eleventh U.S. National Conference on Earthquake Engineering","conferenceDate":"June 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Petersen, M.D., Shumway, A., Powers, P.M., Mueller, C., Rezaeian, S., Moschetti, M.P., McNamara, D.E., Thompson, E.M., Boyd, O.S., Luco, N., Hoover, S.M., and Rukstales, K.S., 2018, Preliminary 2018 national seismic hazard model for the conterminous United States, in Earthquake Engineering. National Conference. 11TH 2018. 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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":738910,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70204521,"text":"70204521 - 2018 - Efficacy of injectable tulathromycin for reduction of vertical transmission of Renibacterium salmoninarum in Spring Chinook Salmon Oncorhynchus tshawytscha","interactions":[],"lastModifiedDate":"2019-10-31T15:52:21","indexId":"70204521","displayToPublicDate":"2018-12-31T15:50:53","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Efficacy of injectable tulathromycin for reduction of vertical transmission of Renibacterium salmoninarum in Spring Chinook Salmon Oncorhynchus tshawytscha","title":"Efficacy of injectable tulathromycin for reduction of vertical transmission of Renibacterium salmoninarum in Spring Chinook Salmon Oncorhynchus tshawytscha","docAbstract":"

Bacterial kidney disease (BKD) caused by Renibacterium salmoninarum (Rs) occurs nearly worldwide where wild or cultured salmonid fishes are present. Control of BKD is confounded by its two modes of transmission, horizontal (fish-to-fish) and vertical (from female parent to progeny via the eggs). A highly successful BKD control strategy employed in Pacific Northwest hatcheries culturing spring Chinook salmon (Oncorhynchus tshawytscha) includes: (1) injecting pre-spawning adults with a macrolide antibiotic to improve survival and reduce Rs infection levels, (2) broodstock culling of highly infected females and (3) improved fish husbandry. However, the future availability of the injectable macrolide antibiotic (erythromycin) used for adults is uncertain. This drug shortage has resulted in an urgent need to identify a replacement injectable antibiotic to ensure continued successful control of BKD. The research conducted was intended to provide information for addressing this need via preliminary tests of the safety and efficacy of a new macrolide antibiotic, injectable tulathromycin, which is sold under the trade name DRAXXIN® (Zoetis Animal Health). A long-term goal is to reduce or eliminate the use of antibiotic treatment in spring Chinook salmon hatchery culture. Non-treated females were included in the study to provide empirical data in support of this goal. A subset of pre-spawning spring Chinook salmon at Leavenworth NFH was injected on July 10, 2014 with DRAXXIN at 5 mg per kg body weight (31 fish, left pelvic fin clip). Another subset of females (30 fish, right pelvic fin clip) was left uninjected. The surviving fish (31 DRAXXIN-injected fish and 28 uninjected fish) were spawned between August 18 and September 2, 2014. Although there were apparent trends toward higher pre-spawn survival and lower Rs prevalence and levels for the DRAXXIN-injected females in comparison to the uninjected females, the differences were not statistically significant for any of the Rs assays used (P > 0.05). Based on USFWS enzyme-linked immnosorbent assay (ELISA) test results of kidney tissue samples from the spawning females, egg lots from DRAXXIN-injected and uninjected females were assigned to Rs vertical transmission risk groups (low, medium or high). A subset of 220 eyed eggs from each female was transferred to the Western Fisheries Research Center (USGS) on October 8, 2014, hatched and reared until the study was terminated on September 22, 2015. The study results provided no evidence that DRAXXIN injection of adult female Chinook salmon affected their fecundity, egg eye-up, or survival and growth of progeny fry. There was little evidence of Rs infection in progeny of either DRAXXIN-injected or uninjected females, so the effect of DRAXXIN injection on vertical transmission of Rs could not be assessed. To adequately evaluate the efficacy of DRAXXIN injection for reducing Rs vertical transmission to progeny, additional studies should be conducted with larger numbers of DRAXXIN-injected and uninjected Chinook salmon females with a greater range of Rs levels.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Elliott, D., 2018, Efficacy of injectable tulathromycin for reduction of vertical transmission of Renibacterium salmoninarum in Spring Chinook Salmon Oncorhynchus tshawytscha, 28 p.","productDescription":"28 p.","ipdsId":"IP-100904","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":368850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366054,"type":{"id":11,"text":"Document"},"url":"https://ecos.fws.gov/ServCat/DownloadFile/163944"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Diane","contributorId":217727,"corporation":false,"usgs":true,"family":"Elliott","given":"Diane","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767384,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70197891,"text":"70197891 - 2018 - Developing a global earthquake risk model","interactions":[],"lastModifiedDate":"2019-06-27T15:42:28","indexId":"70197891","displayToPublicDate":"2018-12-31T15:42:15","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Developing a global earthquake risk model","docAbstract":"

The understanding of earthquake risk is the first step towards the development and implementation of disaster risk reduction measures. However, in many countries, especially the countries of the developing world, earthquake risk models either do not exist or are publicly inaccessible. The Global Earthquake Model (GEM) Foundation and its partners have been supporting regional programmes and bilateral collaborations to develop a global earthquake risk model, due by the end of 2018. This paper describes how the main components (seismic hazard, exposure models and vulnerability functions) of this global effort are being collected, developed or improved. The calculations are being performed using the OpenQuake-engine, the open-source software for seismic hazard and risk calculations supported by GEM. This model will be able to provide estimates of critical risk metrics such as annualized average economic and human losses or aggregated losses for particular return periods, which are fundamental to the development of efficient and effective  mitigation planning.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of 16th European Conference on Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"16th European Conference on Earthquake Engineering","conferenceDate":"18-21 June, 2018","conferenceLocation":"Thessaloniki, Greece","language":"English","publisher":"European Association for Earthquake Engineering","usgsCitation":"Silva, V., Crowley, H., Jaiswal, K.S., Acevedo, A.B., Pittore, M., and Journey, M., 2018, Developing a global earthquake risk model, in Proceedings of 16th European Conference on Earthquake Engineering, Thessaloniki, Greece, 18-21 June, 2018, 11834; 11 p.","productDescription":"11834; 11 p.","ipdsId":"IP-094620","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Silva, Vitor","contributorId":152129,"corporation":false,"usgs":false,"family":"Silva","given":"Vitor","email":"","affiliations":[{"id":18873,"text":"University of Aveiro","active":true,"usgs":false}],"preferred":false,"id":738955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowley, Helen","contributorId":152131,"corporation":false,"usgs":false,"family":"Crowley","given":"Helen","email":"","affiliations":[{"id":18874,"text":"EUCENTRE","active":true,"usgs":false}],"preferred":false,"id":738956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":738957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Acevedo, Ana Beatriz","contributorId":205958,"corporation":false,"usgs":false,"family":"Acevedo","given":"Ana","email":"","middleInitial":"Beatriz","affiliations":[{"id":37198,"text":"Universidad EAFIT","active":true,"usgs":false}],"preferred":false,"id":738958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pittore, Massimiliano","contributorId":205959,"corporation":false,"usgs":false,"family":"Pittore","given":"Massimiliano","email":"","affiliations":[{"id":27333,"text":"GFZ","active":true,"usgs":false}],"preferred":false,"id":738959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Journey, Murray","contributorId":205960,"corporation":false,"usgs":false,"family":"Journey","given":"Murray","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":738960,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202971,"text":"70202971 - 2018 - Basin-scale model for predicting marsh edge erosion","interactions":[],"lastModifiedDate":"2019-09-13T11:05:58","indexId":"70202971","displayToPublicDate":"2018-12-31T15:26:53","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Basin-scale model for predicting marsh edge erosion","docAbstract":"Recent attempts to relate marsh edge retreat rate to wave power have met varying levels of success. Schwimmer (2001) correlated wave power to marsh boundary retreat rates over a five-year period along sites within Rehoboth Bay, Delaware, USA. Marani et al. (2011) derived a linear relationship between volumetric retreat rate and mean wave power density using Buckingham’s theorem of dimensional analysis. Leonardi and Fagherazzi (2015) added an exponential function to the Schwimmer (2001) equation to account for variability in soil resistance and mean wave height. These equations factor in soil type, water elevation, vegetation, and macrofauna through field-calibrated empirical constants, i.e., they are not explicitly considered. Consequently, the existing capability of predicting marsh edge erosion rate as a function of wave power and soil and vegetation properties is rather limited for engineering applications. For instance, Allison et al. (2017) show that without taking the marsh platform, soil, and vegetation into account, the relationships between marsh edge erosion rates and wave power on a basin or coastal-wide scale are not strong enough statistically to serve as a useful predictive model. The objective of this study is to develop a more robust marsh edge erosion model by characterizing the shear strength, wave power, and retreat rates in Terrebonne Bay, Louisiana.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Engineering Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"36th International Conference on Coastal Engineering","conferenceDate":"July 30-August 3, 2018","conferenceLocation":"Baltimore, Maryland","language":"English","publisher":"American Society of Civil Engineers","doi":"10.9753/icce.v36.sediment.38","usgsCitation":"Jafari, N., Chen, Q.J., Couvillion, B., Johnson, C.L., and Everett, T., 2018, Basin-scale model for predicting marsh edge erosion, in Coastal Engineering Proceedings, v. 36, Baltimore, Maryland, July 30-August 3, 2018, https://doi.org/10.9753/icce.v36.sediment.38.","productDescription":"1 p.","startPage":"38","ipdsId":"IP-105026","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.9753/icce.v36.sediment.38","text":"Publisher Index Page"},{"id":365035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Terrebonne Bay","volume":"36","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Jafari, Navid H.","contributorId":214730,"corporation":false,"usgs":false,"family":"Jafari","given":"Navid H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":760650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Qin J.","contributorId":214731,"corporation":false,"usgs":false,"family":"Chen","given":"Qin","email":"","middleInitial":"J.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":760651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":214729,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Cody L.","contributorId":179353,"corporation":false,"usgs":false,"family":"Johnson","given":"Cody","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":760652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Everett, Thomas","contributorId":214732,"corporation":false,"usgs":false,"family":"Everett","given":"Thomas","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":760653,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70162622,"text":"70162622 - 2018 - Historical and projected climate in the northern Rockies Region","interactions":[],"lastModifiedDate":"2020-12-08T21:28:18.689974","indexId":"70162622","displayToPublicDate":"2018-12-31T15:23:26","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Historical and projected climate in the northern Rockies Region","docAbstract":"

Climate influences the ecosystem services we obtain from forest and rangelands. Climate is described by the long-term characteristics of precipitation, temperature, wind, snowfall, and other measures of weather that occur over a long period in a particular place, and is typically expressed as long-term average conditions. Resource management practices are implemented day-to-day in response to weather conditions; resource management strategies and plans are developed using our understanding of climate. With the need to consider climate change in planning and management, an understanding of how climate may change in the future in a resource management planning area is valuable. In this chapter, we present the current understanding of potential changes in climate for the Forest Service, U.S. Department of Agriculture (USFS) Northern Region and the Greater Yellowstone Area (GYA), hereafter called the Northern Rockies region.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Climate change vulnerability and adaptation in the Northern Rocky Mountains [Part 1]. Gen. Tech. Rep. RMRS-GTR-374","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S Department of Agriculture","usgsCitation":"Joyce, L.A., Talbert, M., Sharp, D., Morisette, J.T., and Stevenson, J.J., 2018, Historical and projected climate in the northern Rockies Region, chap. 3 of Climate change vulnerability and adaptation in the Northern Rocky Mountains [Part 1]. Gen. Tech. Rep. RMRS-GTR-374, p. 28-47.","productDescription":"20 p.","startPage":"28","endPage":"47","ipdsId":"IP-070260","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381139,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/55988"}],"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 -116.71874999999999,\n 42.032974332441405\n ],\n [\n -104.58984375,\n 42.032974332441405\n ],\n [\n -104.58984375,\n 48.922499263758255\n ],\n [\n -116.71874999999999,\n 48.922499263758255\n ],\n [\n -116.71874999999999,\n 42.032974332441405\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Joyce, Linda A.","contributorId":152615,"corporation":false,"usgs":false,"family":"Joyce","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":589927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbert, Marian 0000-0003-0588-0265 mtalbert@usgs.gov","orcid":"https://orcid.org/0000-0003-0588-0265","contributorId":191730,"corporation":false,"usgs":true,"family":"Talbert","given":"Marian","email":"mtalbert@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":589926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, Darrin","contributorId":152616,"corporation":false,"usgs":false,"family":"Sharp","given":"Darrin","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":589928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":589929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stevenson, John J.","contributorId":70633,"corporation":false,"usgs":true,"family":"Stevenson","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":589930,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208421,"text":"70208421 - 2018 - Damage accumulation for a two-story wood-frame building in sequences of induced earthquakes","interactions":[],"lastModifiedDate":"2020-03-05T15:17:45","indexId":"70208421","displayToPublicDate":"2018-12-31T15:12:10","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Damage accumulation for a two-story wood-frame building in sequences of induced earthquakes","docAbstract":"

In this study, a nonlinear model of a two-story multifamily wood-frame residential structure is subjected to recordings of sequences of induced earthquakes in order to quantify changes in fragility and accumulation of damage throughout multiple earthquake loadings. Initial efforts consisting of ground motion selection, building design, numerical modeling, and preliminary results are presented. Damage is quantified through a seismic loss estimation procedure that accounts for damage to nonstructural and structural components of the building. Examining damage accumulation from sequential earthquake shaking enables us to explore how the occurrence of damage in an earthquake, even to relatively small levels, may increase a structure’s susceptibility to collapse or damage in subsequent ground shaking. Ultimately, the goal is to compare damage fragilities and seismic losses as a function of the building’s initial damage state.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 11th National Conference in Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eleventh U.S. National Conference on Earthquake Engineering","conferenceDate":"Jun 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Chase, R., Liel, A., and Luco, N., 2018, Damage accumulation for a two-story wood-frame building in sequences of induced earthquakes, in Proceedings of the 11th National Conference in Earthquake Engineering, Los Angeles, CA, Jun 25-29, 2018, 4 p.","productDescription":"4 p.","ipdsId":"IP-096752","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372154,"type":{"id":15,"text":"Index Page"},"url":"https://11ncee.org/"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.140625,\n 33.4955977448657\n ],\n [\n -94.6142578125,\n 33.4955977448657\n ],\n [\n -94.6142578125,\n 37.94419750075404\n ],\n [\n -99.140625,\n 37.94419750075404\n ],\n [\n -99.140625,\n 33.4955977448657\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chase, R","contributorId":222295,"corporation":false,"usgs":false,"family":"Chase","given":"R","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":781815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liel, A.B.","contributorId":175201,"corporation":false,"usgs":false,"family":"Liel","given":"A.B.","affiliations":[],"preferred":false,"id":781816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":781817,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198123,"text":"70198123 - 2018 - Revisiting the Apollo photogrammetric mapping system","interactions":[],"lastModifiedDate":"2019-06-26T15:21:37","indexId":"70198123","displayToPublicDate":"2018-12-31T15:10:46","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Revisiting the Apollo photogrammetric mapping system","docAbstract":"The integrated photogrammetric mapping system flown on the last three Apollo lunar missions (15, 16, and 17) in 1971 and 1972 incorporated a Metric (mapping) Camera, a high-resolution Panoramic Camera, and a star camera and laser altimeter to provide support data. The U.S. Geological Survey’s Astrogeology Science Center, the Intelligent Robotics Group of the NASA Ames Research Center, and Arizona State University are working together in an ongoing collaboration to achieve the most complete cartographic development of Apollo mapping system data into versatile digital map products. These will enable a variety of scientific/engineering uses of the data including mission planning, geologic mapping, geophysical process modelling, slope dependent correction of spectral data, and change detection. After a brief discussion of the origins of the mapping system, we describe the Metric and Panoramic cameras, processing of the associated image and support data, work to photogrammetrically control the Metric Camera images, and future plans.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ISPRS Technical Commission I Symposium, \"Innovative Sensing - From Sensors to Methods and Applications,","conferenceDate":"10-12 October 2018","conferenceLocation":"Karlsruhe, Germany","language":"English","publisher":"ISPRS","doi":"10.5194/isprs-archives-XLII-1-133-2018","usgsCitation":"Edmundson, K., Alexandrov, O., Archinal, B., Becker, K., Becker, T.L., Mapel, J., Moratto, Z.M., Nefian, A.V., Richie, J., Robinson, M.S., Shepherd, M., Shinaman, J., and Smith, E., 2018, Revisiting the Apollo photogrammetric mapping system, in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 42, no. 1, Karlsruhe, Germany, 10-12 October 2018, p. 133-140, https://doi.org/10.5194/isprs-archives-XLII-1-133-2018.","productDescription":"8 p.","startPage":"133","endPage":"140","ipdsId":"IP-099481","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":468168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-1-133-2018","text":"Publisher Index Page"},{"id":365089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"42","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Edmundson, Kenneth 0000-0003-3666-0927 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glacial loading cycles at the Bruce Nuclear Site, Ontario, Canada","interactions":[],"lastModifiedDate":"2019-06-27T15:03:50","indexId":"70198106","displayToPublicDate":"2018-12-31T14:55:22","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multiphase hydromechanical iTOUGH2-EOS7C modeling study of underpressure development in shale during glacial loading cycles at the Bruce Nuclear Site, Ontario, Canada","docAbstract":"A deep geologic repository (DGR) for low- and intermediate-level radioactive waste has been proposed at the Bruce nuclear site on the eastern flank of the Michigan Basin in southeastern Ontario, Canada. The repository would be placed at a depth of ~680 m, within a ~450 m-thick sequence of geologic media with extremely low porosity and permeability. The water in this section is significantly underpressured, which previous modeling work has shown could be the result of hydromechanical coupling during geologically recent glacial cycles. However, questions have been raised about whether gas phase methane is present in situ, and if so, how it relates to the generation and persistence of the underpressure here, as well as those in numerous other shale- and gas-rich sedimentary basins around the world. The primary goal of this study is to investigate, using the hydromechanical multiphase flow simulator iTOUGH2-EOS7C, what impact separate phase methane may have on coupled hydromechanical processes during glacial cycles. This was done by observing pressure evolution in a one-dimensional iTOUGH2-EOS7C model designed as a simplified representation of the Bruce site and its geologically recent history. Results indicate that, although gas phase generally dampens pressure changes in response to glacial loading, a similar underpressure to the one observed at the Bruce site could feasibly occur in a multiphase system.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the TOUGH Symposium 2018","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"TOUGH Symposium 2018","conferenceDate":"October 8-10, 2018","conferenceLocation":"Berkeley, CA","language":"English","publisher":"Lawrence Berkeley National Laboratory","usgsCitation":"Plampin, M.R., 2018, Multiphase hydromechanical iTOUGH2-EOS7C modeling study of underpressure development in shale during glacial loading cycles at the Bruce Nuclear Site, Ontario, Canada, in Proceedings of the TOUGH Symposium 2018, Berkeley, CA, October 8-10, 2018, p. 314-318.","productDescription":"5 p.","startPage":"314","endPage":"318","ipdsId":"IP-099019","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":365125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365124,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eesa.lbl.gov/2018-tough-symposium/"}],"country":"Canada","state":"Ontario","county":"Bruce County","otherGeospatial":"Bruce Nuclear Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.59717559814453,\n 44.30849520311096\n ],\n [\n -81.56490325927734,\n 44.30849520311096\n ],\n [\n -81.56490325927734,\n 44.33133881434939\n ],\n [\n -81.59717559814453,\n 44.33133881434939\n ],\n [\n -81.59717559814453,\n 44.30849520311096\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Plampin, Michelle R. 0000-0003-4068-5801 mplampin@usgs.gov","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":204983,"corporation":false,"usgs":true,"family":"Plampin","given":"Michelle","email":"mplampin@usgs.gov","middleInitial":"R.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":740039,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70198585,"text":"70198585 - 2018 - Streams do work: Measuring the work of low-order streams on the landscape using point clouds","interactions":[],"lastModifiedDate":"2019-06-26T14:56:53","indexId":"70198585","displayToPublicDate":"2018-12-31T14:42:02","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Streams do work: Measuring the work of low-order streams on the landscape using point clouds","docAbstract":"The mutable nature of low-order streams makes regular updating of surface water maps necessary for accurate representation. Low-order streams make up roughly half the streams in the conterminous United States by length, and small inaccuracies in stream head location can result in significant error in stream reach, order, and density. Reliable maps of stream features are vital for hydrologic modeling, ecosystem research, and boundary monitoring. High resolution digital elevation models derived from lidar data have shown promise in low order stream modeling yet forested high relief landscapes and low relief agricultural areas remain challenging. Here we present early results from research analyzing lidar point clouds to identify features and patterns that may be used in low-order stream identification and classification in challenging geographic conditions. This work has identified characteristics derived from point clouds that correlate with the presence of streams and stream heads and show promise for mapping small streams. In low topographic relief agricultural areas, cross sections collected at regular intervals along drainage channels extracted as 3D lines show a significant jump in value and variance of profile curvature standard deviation at stream heads. In high relief areas, observations show potential for stream mapping by identifying trends in riparian zone structure. Lidar return point density from riparian vegetation under 30 feet tall dips in the vicinity of intermittent stream heads. Also seen is an increase in point density above 60 feet downstream of stream heads. The trends found here likely reflect a change in vegetation structure relative to the presence of streams.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”","conferenceDate":"1-5 October 2018","conferenceLocation":"Delft, the Netherlands","language":"English","publisher":"ISPRS","doi":"10.5194/isprs-archives-XLII-4-573-2018","usgsCitation":"Shavers, E.J., and Stanislawski, L.V., 2018, Streams do work: Measuring the work of low-order streams on the landscape using point clouds, in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 42, no. 4, Delft, the Netherlands, 1-5 October 2018, p. 573-578, https://doi.org/10.5194/isprs-archives-XLII-4-573-2018.","productDescription":"6 p.","startPage":"573","endPage":"578","ipdsId":"IP-099680","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":468169,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-4-573-2018","text":"Publisher Index Page"},{"id":365087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, North Carolina","volume":"42","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":742040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanislawski, Larry V. 0000-0002-9437-0576 lstan@usgs.gov","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":3386,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","email":"lstan@usgs.gov","middleInitial":"V.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":742041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203776,"text":"70203776 - 2018 - Describing the distribution and productivity of biota along a nearshore to offshore gradient","interactions":[],"lastModifiedDate":"2020-06-01T11:39:46.467568","indexId":"70203776","displayToPublicDate":"2018-12-31T14:27:34","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Describing the distribution and productivity of biota along a nearshore to offshore gradient","docAbstract":"

The Lake Michigan Lakewide Action and Management Plan (LAMP) proposed adding nutrients (phosphorus) to its “pollutant of concern” list in 2002, given that excessive nutrients were causing impairments in nearshore waters. Since that time, scientists have highlighted the “shunting” of nutrients to the nearshore (Hecky et al. 2004), owing to the ability of invasive dreissenid mussels to capture some portion of allochthonous phosphorus that enters the lake through tributaries. These changes are believed to increase productivity in the nearshore, reflected in increased benthic and pelagic primary production and nuisance Cladophora (Auer et al. 2010). Whether increases in primary productivity lead to concomitant increases for secondary (by zooplankton) and tertiary (by fish) production remains largely untested. Hence, understanding the distribution and abundance of nutrients and biota (e.g., zooplankton, fish) across a nearshore to offshore gradient was identified as a Cooperative Science and Monitoring Initiative (CSMI) priority in 2015. Increased understanding of the Lake Michigan nearshore will also facilitate the development of a Nearshore Strategy by the LAMP, which is called for in the 2012 Great Lakes Water Quality Agreement.

Working collaboratively with Environmental Protection Agency (EPA) and National Oceanic and Atmospheric Administration (NOAA), United States Geological Survey (USGS) described the distribution of nutrients and biota across nearshore to offshore transects in 2015 (see Appendix 1). At each transect, we sampled the food web at three sites with differing bottom depths: 18 m, 46 m, and 91-110 m. We purposefully chose transects near tributaries of varying total phosphorus (TP) input (see Figure 1, Dolan and Chapra 2012): three transects that were not associated with any large tributary where total phosphorus would be loaded (Waukegan IL, Frankfort MI, Sturgeon Bay WI), three transects adjacent to tributaries presumed to be relatively low loaders of TP (Pere Marquette MI, Root WI, Muskegon MI), and three transects adjacent to tributaries presumed to be relatively high loaders of TP (St. Joseph MI, Kalamazoo MI, Manitowoc WI). USGS estimated chlorophyll concentrations, zooplankton, Mysis, larval fish, and juvenile and adult fish seasonally (April/May, July, October/November) at eight of these transects (all but Muskegon). 

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Cooperative science and monitoring initiative (CSMI) Lake Michigan 2015 report","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Illinois-Indiana Sea Grant","usgsCitation":"Bunnell, D.B., Dieter, P.M., Warner, D.M., Eaton, L.A., and Eppehimer, D., 2018, Describing the distribution and productivity of biota along a nearshore to offshore gradient, 15 p.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-097376","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":375176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375175,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iiseagrant.org/publications/cooperative-science-and-monitoring-initiative-csmi-lake-michigan-2015-report/"}],"country":"United States","state":"Illinois, Michigan, Wisconsin","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.286376953125,\n 44.74673324024678\n ],\n [\n -87.550048828125,\n 44.308126684886126\n ],\n [\n -87.51708984375,\n 44.20583500104184\n ],\n [\n -87.659912109375,\n 44.02442151965934\n ],\n [\n -87.703857421875,\n 43.739352079154706\n ],\n [\n -87.91259765625,\n 43.24520272203356\n ],\n [\n -87.791748046875,\n 42.76314586689492\n ],\n [\n -87.73681640625,\n 42.3016903282445\n ],\n [\n -87.615966796875,\n 41.92680320648791\n ],\n [\n -86.68212890625,\n 41.86956082699455\n ],\n [\n -86.24267578125,\n 42.39912215986002\n ],\n [\n -86.2646484375,\n 43.068887774169625\n ],\n [\n -86.572265625,\n 43.683763524273346\n ],\n [\n -86.46240234375,\n 43.84245116699039\n ],\n [\n -86.517333984375,\n 44.02442151965934\n ],\n [\n -86.275634765625,\n 44.37098696297173\n ],\n [\n -86.209716796875,\n 44.69989765840318\n ],\n [\n -87.176513671875,\n 44.879228141635245\n ],\n [\n -87.286376953125,\n 44.74673324024678\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":195888,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","email":"dbunnell@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":764082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dieter, Patricia M. 0000-0003-1686-2679 parmenio@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":5289,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","email":"parmenio@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":764083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":764084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eaton, Lauren A.","contributorId":211815,"corporation":false,"usgs":false,"family":"Eaton","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":764085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eppehimer, Drew","contributorId":216176,"corporation":false,"usgs":false,"family":"Eppehimer","given":"Drew","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":764086,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200372,"text":"70200372 - 2018 - Population trends of birds wintering in the Central Valley of California","interactions":[],"lastModifiedDate":"2019-06-26T14:25:20","indexId":"70200372","displayToPublicDate":"2018-12-31T14:24:41","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Population trends of birds wintering in the Central Valley of California","docAbstract":"

Since the 1970s, the Central Valley of California has seen a large investment in preservation and restoration of wetlands and riparian areas. At the same time, grasslands have been lost to vineyards, orchards, and residential development at an accelerating rate. We analyzed data from 17 Christmas Bird Count circles that were surveyed regularly between winter 1978–79 and winter 2013–14 to document population trends for birds wintering in this region. We selected 112 taxa (species or species groups) that were relatively abundant and widespread in the Central Valley during winter and used a hierarchical model to estimate annual rates of population change from the count data while accounting for varying survey effort. A much larger proportion of taxa showed positive (46%) than negative (18%) trends; about a third (36%) showed no detectable change. Central Valley habitats that showed the highest proportion of taxa with increasing vs. decreasing trends were riparian (59% vs. 9%; n = 32), wetlands (49% vs. 11%; n = 47), and open water (44% vs. 0%; n = 9), likely reflecting the conservation efforts in these habitats in recent decades. In contrast, a greater proportion of the taxa associated with grasslands and other open habitats (n = 25) showed decreases (48%) than increases (28%). As expected, species that adapt well to areas of human habitation showed stable or increasing trends. Examples of such species with strong positive trends include Anna's Hummingbird (Calypte anna), Black Phoebe (Sayornis nigricans) and recent Central Valley arrivals, Eurasian Collared-Dove (Streptopelia decaocto) and Great-tailed Grackle (Quiscalus mexicanus). Scavenging, opportunistic species such as Turkey Vulture (Cathartes aura) and Common Raven (Corvus corax) also showed strong positive trends. Trends in wintering populations were largely concordant with estimated trends available from breeding areas in California and western North America. Overall, these abundance data suggest that recent efforts to preserve and restore wetland and riparian habitats may be benefiting birds. However, a similar focus on conservation of the Central Valley's remaining grasslands may be needed to maintain populations of grassland-associated birds.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Trends and Traditions: Avifaunal Change in Western North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Western Field Ornithologists","doi":"10.21199/SWB3.12","collaboration":"Western Field Ornithologists","usgsCitation":"Pandolfino, E.R., and Handel, C.M., 2018, Population trends of birds wintering in the Central Valley of California, chap. of Trends and Traditions: Avifaunal Change in Western North America, v. 3, p. 215-235, https://doi.org/10.21199/SWB3.12.","productDescription":"21 p.","startPage":"215","endPage":"235","ipdsId":"IP-096037","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":488979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21199/swb3.12","text":"Publisher Index Page"},{"id":365081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Pandolfino, Edward R","contributorId":209700,"corporation":false,"usgs":false,"family":"Pandolfino","given":"Edward","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":748594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":748593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70217691,"text":"70217691 - 2018 - Multi-scale geophysical mapping of deep permafrost change after disturbance in interior Alaska, USA","interactions":[],"lastModifiedDate":"2021-02-09T12:34:12.316556","indexId":"70217691","displayToPublicDate":"2018-12-31T11:52:17","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multi-scale geophysical mapping of deep permafrost change after disturbance in interior Alaska, USA","docAbstract":"

Disturbance related to fire or hydrologic processes can cause degradation of deep (greater than 1 m) permafrost. These changes in deep permafrost have the potential to impact landscapes and infrastructure, alter the routing and distribution of surface water or groundwater, and may contribute to the flux of carbon to terrestrial and aquatic ecosystems. However, characterization of deep permafrost over large areas and with high spatial resolution is not possible with traditional remote sensing or surface observations. We make use of multiple ground-based and airborne geophysical methods, as well as numerical simulations, to better understand the distribution of permafrost and how it has changed after disturbance. Together, these geophysical datasets help to fill a critical gap in understanding permafrost landscapes and their response to disturbance.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"5th European conference on permafrost, book of abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th European Conference on Permafrost","conferenceDate":"June 23-July 1, 2018","conferenceLocation":"Chamonix, France","language":"English","publisher":"Laboratoire EDYTEM","usgsCitation":"Minsley, B.J., Bloss, B.R., Ebel, B., Rey, D.M., Walvoord, M.A., Brown, D., Daanen, R., Emond, A.M., Kass, M., Pastick, N.J., and Wylie, B., 2018, Multi-scale geophysical mapping of deep permafrost change after disturbance in interior Alaska, USA, in 5th European conference on permafrost, book of abstracts, v. 2, Chamonix, France, June 23-July 1, 2018, p. 896-897.","productDescription":"2 p.","startPage":"896","endPage":"897","ipdsId":"IP-093541","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":383105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383104,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hal.archives-ouvertes.fr/hal-01816115/"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.65429687499997,\n 61.10078883158897\n ],\n [\n -141.1083984375,\n 61.10078883158897\n ],\n [\n -141.1083984375,\n 66.99025646736109\n ],\n [\n -155.65429687499997,\n 66.99025646736109\n ],\n [\n -155.65429687499997,\n 61.10078883158897\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bloss, Benjamin R. 0000-0002-1678-8571 bbloss@usgs.gov","orcid":"https://orcid.org/0000-0002-1678-8571","contributorId":139981,"corporation":false,"usgs":true,"family":"Bloss","given":"Benjamin","email":"bbloss@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":809267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rey, David Matthew 0000-0002-9737-7239","orcid":"https://orcid.org/0000-0002-9737-7239","contributorId":248499,"corporation":false,"usgs":true,"family":"Rey","given":"David","email":"","middleInitial":"Matthew","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":809268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":809269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Dana R.N.","contributorId":187502,"corporation":false,"usgs":false,"family":"Brown","given":"Dana R.N.","affiliations":[],"preferred":false,"id":809270,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daanen, Ronald","contributorId":191060,"corporation":false,"usgs":false,"family":"Daanen","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":809271,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Emond, Abraham M.","contributorId":216313,"corporation":false,"usgs":false,"family":"Emond","given":"Abraham","email":"","middleInitial":"M.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":809272,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kass, M. Andy","contributorId":248501,"corporation":false,"usgs":false,"family":"Kass","given":"M. Andy","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":809273,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pastick, Neal J. 0000-0002-8169-3018 njpastick@usgs.gov","orcid":"https://orcid.org/0000-0002-8169-3018","contributorId":4785,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"njpastick@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":809274,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":201929,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":809275,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70237022,"text":"70237022 - 2018 - Quantifying the effect of beating inferred from recorded responses of tall buildings","interactions":[],"lastModifiedDate":"2022-09-28T16:43:47.384552","indexId":"70237022","displayToPublicDate":"2018-12-31T11:42:42","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Quantifying the effect of beating inferred from recorded responses of tall buildings","docAbstract":"

The beating phenomenon observed in recorded earthquake responses of a tall building in Japan and of two others buildings in the U.S. are examined in this paper. The objective of the paper is to discuss the significance of beating and to estimate what percentage of total shaking energy impacting a building is contributed by beating when it occurs. Beating is prominent in the prolonged resonant responses of lightly damped structures and is a periodic vibrational behavior caused by distinctive coupling between translational and torsional modes that typically have close frequencies. Resonances from site effects may also enhance beating. Spectral analyses and system identification techniques are used herein to quantify the periods and amplitudes of the beating from strong-motion recordings of the three buildings. Quantification of beating is a first step towards determining remedial actions to improve building resilience to this phenomenon. It is shown by the analysis presented in this paper that the ratio of additional vibrational energy of a building exhibiting beating with respect to a postulated zero beating status can be as much as 105% depending on the building and the strong shaking record. Hence, beating should be considered during design and analyses process. Alternatively, remedies maybe implemented for existing buildings.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 11th national conference in earthquake engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"11th National Conference on Earthquake Engineering 2018 (11NCEE): Integrating Science, Engineering, & Policy","conferenceDate":"Jun 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Celebi, M., 2018, Quantifying the effect of beating inferred from recorded responses of tall buildings, in Proceedings of the 11th national conference in earthquake engineering, Los Angeles, CA, Jun 25-29, 2018, 12 p.","productDescription":"12 p.","ipdsId":"IP-089453","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":407520,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eeri.org/about-eeri/news/4631-5611ncee-papers-presentations-view-online"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":853102,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208189,"text":"70208189 - 2018 - Landscape conservation design for enhancing the adaptive capacity of coastal wetlands in the face of sea-level rise and coastal development","interactions":[],"lastModifiedDate":"2020-03-02T11:41:22","indexId":"70208189","displayToPublicDate":"2018-12-31T11:40:55","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Landscape conservation design for enhancing the adaptive capacity of coastal wetlands in the face of sea-level rise and coastal development","docAbstract":"Coastal wetlands provide many valuable benefits to people and wildlife, including critical habitat, improved water quality, reduced flooding impacts, and protected coastlines. However, in the 21st century, accelerated sea-level rise and coastal development are expected to greatly alter coastal landscapes across the globe. The future of coastal wetlands is uncertain, challenging coastal environmental managers to develop conservation strategies that will increase the resilience of these valuable ecosystems to change and preserve the benefits they provide. One strategy for preparing for the effects of sea-level rise is to ensure that there is space available for coastal wetlands to migrate inland. In a recent study, we identified areas where coastal wetlands may move inland along the northern Gulf of Mexico coast, one of the most wetland-rich and sea-level rise sensitive regions of the world. Building on these findings, this project produced customized landscape conservation-design products focused on identifying landward migration routes for coastal wetlands. 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