{"pageNumber":"856","pageRowStart":"21375","pageSize":"25","recordCount":165499,"records":[{"id":70197209,"text":"70197209 - 2018 - Does behavioural thermoregulation underlie seasonal movements in Lake Erie walleye?","interactions":[],"lastModifiedDate":"2018-05-22T15:07:24","indexId":"70197209","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Does behavioural thermoregulation underlie seasonal movements in Lake Erie walleye?","docAbstract":"<p><span>Thermoregulation is presumed to be a widespread determinant of behaviour in fishes, but has not often been investigated as a mechanism shaping long-distance migrations. We used acoustic telemetry and animal-borne thermal loggers to test the hypothesis that seasonal migration in adult walleye (</span><i>Sander vitreus</i><span>) in Lake Erie is size- and (or) sex-specific and related to behavioural thermoregulation. Female walleye migrated out of the warm, shallow western basin earlier than did males and were 1.8 times more likely to be detected on acoustic receivers in the deeper and cooler eastern basin. The few fish that remained in the western basin were restricted to a smaller range of higher temperatures (≥20 °C) than those that migrated to the central and eastern basins (∼16–21 °C). However, temperature records from walleye in the central basin were nearly indistinguishable from those in the eastern basin, suggesting thermal preferences alone could not explain migration to the eastern basin. As such, our effort to understand the mechanisms that cause migratory behaviours has generated mixed evidence on the role of temperature and that factors like foraging opportunities may have synergistic roles in the migration.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0145","usgsCitation":"Raby, G.D., Vandergoot, C., Hayden, T., Faust, M.D., Kraus, R.T., Dettmers, J.M., Cooke, S., Zhao, Y., Fisk, A.T., and Krueger, C., 2018, Does behavioural thermoregulation underlie seasonal movements in Lake Erie walleye?: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 3, p. 488-496, https://doi.org/10.1139/cjfas-2017-0145.","productDescription":"9 p.","startPage":"488","endPage":"496","ipdsId":"IP-085286","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":460997,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/82828","text":"External Repository"},{"id":354397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84,\n              41\n            ],\n            [\n              -78.49731445312499,\n              41\n            ],\n            [\n              -78.49731445312499,\n              43.36512572875844\n            ],\n            [\n              -84,\n              43.36512572875844\n            ],\n            [\n              -84,\n              41\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d9be4b092d9651e1b77","contributors":{"authors":[{"text":"Raby, Graham D.","contributorId":205145,"corporation":false,"usgs":false,"family":"Raby","given":"Graham","email":"","middleInitial":"D.","affiliations":[{"id":32936,"text":"Great Lakes Institute for Environmental Research, University of Windsor","active":true,"usgs":false}],"preferred":false,"id":736214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergoot, Christopher 0000-0003-4128-3329 cvandergoot@usgs.gov","orcid":"https://orcid.org/0000-0003-4128-3329","contributorId":178356,"corporation":false,"usgs":true,"family":"Vandergoot","given":"Christopher","email":"cvandergoot@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":736213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayden, Todd A.","contributorId":205146,"corporation":false,"usgs":false,"family":"Hayden","given":"Todd A.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":736215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faust, Matthew D.","contributorId":145776,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":736216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":736222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettmers, John M.","contributorId":191256,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":736217,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":736218,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhao, Yingming","contributorId":205147,"corporation":false,"usgs":false,"family":"Zhao","given":"Yingming","email":"","affiliations":[{"id":37034,"text":"Ontario Ministry of Natural Resources and Forestry, Aquatic Research and Monitoring Section","active":true,"usgs":false}],"preferred":false,"id":736219,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisk, Aaron T.","contributorId":127340,"corporation":false,"usgs":false,"family":"Fisk","given":"Aaron","email":"","middleInitial":"T.","affiliations":[{"id":6778,"text":"University of Windsor, Windsor, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":736220,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":736221,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70196763,"text":"70196763 - 2018 - Timber harvest as the predominant disturbance regime in northeastern U.S. forests: Effects of harvest intensification","interactions":[],"lastModifiedDate":"2018-04-30T13:06:26","indexId":"70196763","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Timber harvest as the predominant disturbance regime in northeastern U.S. forests: Effects of harvest intensification","docAbstract":"<p><span>Harvesting is the leading cause of adult tree mortality in forests of the northeastern United States. While current rates of timber harvest are generally sustainable, there is considerable pressure to increase the contribution of forest biomass to meet renewable energy goals. We estimated current harvest regimes for different forest types and regions across the U.S. states of New York, Vermont, New Hampshire, and Maine using data from the U.S. Forest Inventory and Analysis Program. We implemented the harvest regimes in SORTIE‐ND, an individual‐based model of forest dynamics, and simulated the effects of current harvest regimes and five additional harvest scenarios that varied by harvest frequency and intensity over 150&nbsp;yr. The best statistical model for the harvest regime described the annual probability of harvest as a function of forest type/region, total plot basal area, and distance to the nearest improved road. Forests were predicted to increase in adult aboveground biomass in all harvest scenarios in all forest type and region combinations. The magnitude of the increase, however, varied dramatically—increasing from 3% to 120% above current landscape averages as harvest frequency and intensity decreased. The variation can be largely explained by the disproportionately high harvest rates estimated for Maine as compared with the rest of the region. Despite steady biomass accumulation across the landscape, stands that exhibited old‐growth characteristics (defined as ≥300 metric tons of biomass/hectare) were rare (8% or less of stands). Intensified harvest regimes had little effect on species composition due to widespread partial harvesting in all scenarios, resulting in dominance by late‐successional species over time. Our analyses indicate that forest biomass can represent a sustainable, if small, component of renewable energy portfolios in the region, although there are tradeoffs between carbon sequestration in forest biomass and sustainable feedstock supply. Integrating harvest regimes into a disturbance theory framework is critical to understanding the dynamics of forested landscapes, especially given the predominance of logging as a disturbance agent and the increasing pressure to meet renewable energy needs.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2062","usgsCitation":"Brown, M.L., Canham, C.D., Murphy, L., and Donovan, T.M., 2018, Timber harvest as the predominant disturbance regime in northeastern U.S. forests: Effects of harvest intensification: Ecosphere, v. 9, no. 3, p. 1-19, https://doi.org/10.1002/ecs2.2062.","productDescription":"e02062; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-086575","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2062","text":"Publisher Index Page"},{"id":353856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-30","publicationStatus":"PW","scienceBaseUri":"5afee70fe4b0da30c1bfc0a2","contributors":{"authors":[{"text":"Brown, Michelle L.","contributorId":168990,"corporation":false,"usgs":false,"family":"Brown","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":734289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canham, Charles D.","contributorId":152138,"corporation":false,"usgs":false,"family":"Canham","given":"Charles","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Lora","contributorId":196420,"corporation":false,"usgs":false,"family":"Murphy","given":"Lora","email":"","affiliations":[],"preferred":false,"id":734291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734288,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196051,"text":"70196051 - 2018 - Developing a framework for evaluating tallgrass prairie reconstruction methods and management","interactions":[],"lastModifiedDate":"2018-03-15T11:44:40","indexId":"70196051","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1462,"text":"Ecological Restoration","active":true,"publicationSubtype":{"id":10}},"title":"Developing a framework for evaluating tallgrass prairie reconstruction methods and management","docAbstract":"<p><span>The thousands of hectares of prairie reconstructed each year in the tallgrass prairie biome can provide a valuable resource for evaluation of seed mixes, planting methods, and post-planting management if methods used and resulting characteristics of the prairies are recorded and compiled in a publicly accessible database. The objective of this study was to evaluate the use of such data to understand the outcomes of reconstructions over a 10-year period at two U.S. Fish and Wildlife Service refuges. Variables included number of species planted, seed source (combine-harvest or combine-harvest plus hand-collected), fire history, and planting method and season. In 2015 we surveyed vegetation on 81 reconstructions and calculated proportion of planted species observed; introduced species richness; native species richness, evenness and diversity; and mean coefficient of conservatism. We conducted exploratory analyses to learn how implied communities based on seed mix compared with observed vegetation; which seeding or management variables were influential in the outcome of the reconstructions; and consistency of responses between the two refuges. Insights from this analysis include: 1) proportion of planted species observed in 2015 declined as planted richness increased, but lack of data on seeding rate per species limited conclusions about value of added species; 2) differing responses to seeding and management between the two refuges suggest the importance of geographic variability that could be addressed using a public database; and 3) variables such as fire history are difficult to quantify consistently and should be carefully evaluated in the context of a public data repository.</span></p>","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/er.36.1.6","usgsCitation":"Larson, D.L., Ahlering, M., Drobney, P., Esser, R., Larson, J.L., and Viste-Sparkman, K., 2018, Developing a framework for evaluating tallgrass prairie reconstruction methods and management: Ecological Restoration, v. 36, no. 1, p. 6-18, https://doi.org/10.3368/er.36.1.6.","productDescription":"13 p.","startPage":"6","endPage":"18","ipdsId":"IP-082530","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":352555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-28","publicationStatus":"PW","scienceBaseUri":"5afee712e4b0da30c1bfc0c4","contributors":{"authors":[{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":731143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahlering, Marissa 0000-0002-3913-428X","orcid":"https://orcid.org/0000-0002-3913-428X","contributorId":171943,"corporation":false,"usgs":false,"family":"Ahlering","given":"Marissa","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":731144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drobney, Pauline","contributorId":178447,"corporation":false,"usgs":false,"family":"Drobney","given":"Pauline","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":731146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esser, Rebecca","contributorId":197592,"corporation":false,"usgs":false,"family":"Esser","given":"Rebecca","affiliations":[],"preferred":false,"id":731145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Jennifer L.","contributorId":178444,"corporation":false,"usgs":false,"family":"Larson","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":731148,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Viste-Sparkman, Karen","contributorId":197593,"corporation":false,"usgs":false,"family":"Viste-Sparkman","given":"Karen","email":"","affiliations":[],"preferred":false,"id":731147,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196538,"text":"70196538 - 2018 - Ecological drought: Accounting for the non-human impacts of water shortage in the Upper Missouri Headwaters Basin, Montana, USA","interactions":[],"lastModifiedDate":"2018-04-16T16:42:24","indexId":"70196538","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5507,"text":"Resources","printIssn":"2079-9276","active":true,"publicationSubtype":{"id":10}},"title":"Ecological drought: Accounting for the non-human impacts of water shortage in the Upper Missouri Headwaters Basin, Montana, USA","docAbstract":"<p><span>Water laws and drought plans are used to prioritize and allocate scarce water resources. Both have historically been human-centric, failing to account for non-human water needs. In this paper, we examine the development of instream flow legislation and the evolution of drought planning to highlight the growing concern for the non-human impacts of water scarcity. Utilizing a new framework for ecological drought, we analyzed five watershed-scale drought plans in southwestern Montana, USA to understand if, and how, the ecological impacts of drought are currently being assessed. We found that while these plans do account for some ecological impacts, it is primarily through the narrow lens of impacts to fish as measured by water temperature and streamflow. The latter is typically based on the same ecological principles used to determine instream flow requirements. We also found that other resource plans in the same watersheds (e.g., Watershed Restoration Plans, Bureau of Land Management (BLM) Watershed Assessments or United States Forest Service (USFS) Forest Plans) identify a broader range of ecological drought risks. Given limited resources and the potential for mutual benefits and synergies, we suggest greater integration between various planning processes could result in a more holistic consideration of water needs and uses across the landscape.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/resources7010014","usgsCitation":"McEvoy, J., Bathke, D.J., Burkardt, N., Cravens, A.E., Haigh, T., Hall, K.R., Hayes, M., Jedd, T., Podebradska, M., and Wickham, E., 2018, Ecological drought: Accounting for the non-human impacts of water shortage in the Upper Missouri Headwaters Basin, Montana, USA: Resources, v. 7, no. 1, p. 1-16, https://doi.org/10.3390/resources7010014.","productDescription":"Article 14; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-092941","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/resources7010014","text":"Publisher Index Page"},{"id":353468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Upper Missouri Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.05957031249999,\n              44.4808302785626\n            ],\n            [\n              -110.67626953125,\n              44.4808302785626\n            ],\n            [\n              -110.67626953125,\n              48.99463598353405\n            ],\n            [\n              -116.05957031249999,\n              48.99463598353405\n            ],\n            [\n              -116.05957031249999,\n              44.4808302785626\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-20","publicationStatus":"PW","scienceBaseUri":"5afee70fe4b0da30c1bfc0a8","contributors":{"authors":[{"text":"McEvoy, Jamie","contributorId":197223,"corporation":false,"usgs":false,"family":"McEvoy","given":"Jamie","affiliations":[],"preferred":false,"id":733491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bathke, Deborah J.","contributorId":197224,"corporation":false,"usgs":false,"family":"Bathke","given":"Deborah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":733492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":733499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":733490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haigh, Tonya","contributorId":204248,"corporation":false,"usgs":false,"family":"Haigh","given":"Tonya","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":733493,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hall, Kimberly R.","contributorId":197221,"corporation":false,"usgs":false,"family":"Hall","given":"Kimberly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733494,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayes, Michael J.","contributorId":197222,"corporation":false,"usgs":false,"family":"Hayes","given":"Michael J.","affiliations":[{"id":34856,"text":"National Drought Mitigation Center, Unversity of Nebraska","active":true,"usgs":false}],"preferred":false,"id":733495,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jedd, Theresa","contributorId":204249,"corporation":false,"usgs":false,"family":"Jedd","given":"Theresa","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":733496,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Podebradska, Marketa","contributorId":204250,"corporation":false,"usgs":false,"family":"Podebradska","given":"Marketa","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":733497,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wickham, Elliot","contributorId":204251,"corporation":false,"usgs":false,"family":"Wickham","given":"Elliot","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":733498,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70196831,"text":"70196831 - 2018 - Efficacy of otoliths and first dorsal spines for preliminary age and growth determination in Atlantic Tripletails","interactions":[],"lastModifiedDate":"2018-05-04T11:47:18","indexId":"70196831","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of otoliths and first dorsal spines for preliminary age and growth determination in Atlantic Tripletails","docAbstract":"<p><span>The Atlantic Tripletail&nbsp;</span><i>Lobotes surinamensis</i><span><span>&nbsp;</span>is a popular sport fish for which age and growth data are scarce in general and nonexistent for Georgia (GA), USA, waters. These data are necessary to ensure that management regulations are adequate to protect this species, especially given its popularity as a sport fish. We evaluated whether otoliths and spines were suitable for determining the estimated age (hereafter, “age”) and growth rates of Atlantic Tripletails, and we ascertained whether one method was more accurate than the other. Atlantic Tripletails were sampled by angling and trawling during March 30–August 10, 2009, and March 14–August 6, 2010, in nearshore GA waters of the Atlantic Ocean. During the study, 243 Atlantic Tripletails were captured and sampled for aging structures. Sagittal otoliths and the first dorsal spine were removed from each fish and used to estimate the age and growth rate. Mean differences in TL at age for spine and otolith data were evaluated with ANOVA. Estimated ages for males and females ranged from 1 to 5&nbsp;years based on otoliths and spines. Both otolith and spine mean TLs at ages 1 and 2 were significantly different from each other as well as all other age‐classes, whereas mean TLs for ages 3–5 were not significantly different. Differences in Atlantic Tripletail TL among the otolith‐ and spine‐derived age‐classes were not significant. Each method used to age Atlantic Tripletails had advantages and disadvantages. Otoliths had higher initial reader agreement than spines, although agreement between the structures was 84.1%. However, otoliths require sacrifice of the fish, whereas a spine can be taken without sacrificing the fish. The lack of concrete life history data and population estimates suggests that when feasible, nonlethal aging methods would be preferred over lethal methods to ensure the survival of Atlantic Tripletail populations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/mcf2.10008","usgsCitation":"Parr, R.T., Bringolf, R.B., and Jennings, C.A., 2018, Efficacy of otoliths and first dorsal spines for preliminary age and growth determination in Atlantic Tripletails: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 10, no. 1, p. 71-79, https://doi.org/10.1002/mcf2.10008.","productDescription":"9 p.","startPage":"71","endPage":"79","ipdsId":"IP-088371","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10008","text":"Publisher Index Page"},{"id":353961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.47598266601562,\n              31.009394042537934\n            ],\n            [\n              -81.30226135253906,\n              31.009394042537934\n            ],\n            [\n              -81.30226135253906,\n              31.15934638141426\n            ],\n            [\n              -81.47598266601562,\n              31.15934638141426\n            ],\n            [\n              -81.47598266601562,\n              31.009394042537934\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-26","publicationStatus":"PW","scienceBaseUri":"5afee70fe4b0da30c1bfc09c","contributors":{"authors":[{"text":"Parr, Russell T.","contributorId":204692,"corporation":false,"usgs":false,"family":"Parr","given":"Russell","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":734711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bringolf, Robert B.","contributorId":139241,"corporation":false,"usgs":true,"family":"Bringolf","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":734712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734652,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197461,"text":"70197461 - 2018 - Species‐ and habitat‐specific otolith chemistry patterns inform riverine fisheries management","interactions":[],"lastModifiedDate":"2018-06-06T11:28:19","indexId":"70197461","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Species‐ and habitat‐specific otolith chemistry patterns inform riverine fisheries management","docAbstract":"<p style=\"text-align: left;\" data-mce-style=\"text-align: left;\"><span>Geology and hydrology are drivers of water chemistry and thus important considerations for fish otolith chemistry research. However, other factors such as species and habitat identity may have predictive ability, enabling selection of appropriate elemental signatures prior to costly, perhaps unnecessary water/age‐0 fish sampling. The goal of this study was to develop a predictive methodology for using species and habitat identity to design efficient otolith chemistry studies. Duplicate water samples and age‐0 fish were collected from 61 sites in 4 Missouri River reservoirs for walleye&nbsp;</span><i>Sander vitreus</i><span><span>&nbsp;</span>and one impoundment (Lake Sharpe, South Dakota) for other fishes (bluegill<span>&nbsp;</span></span><i>Lepomis macrochirus</i><span>, black crappie<span>&nbsp;</span></span><i>Pomoxis nigromaculatus</i><span>, gizzard shad<span>&nbsp;</span></span><i>Dorosoma cepedianum</i><span>, largemouth bass<span>&nbsp;</span></span><i>Micropterus salmoides</i><span>, smallmouth bass<span>&nbsp;</span></span><i>M.&nbsp;dolomieu</i><span>, white bass<span>&nbsp;</span></span><i>Morone chrysops</i><span>, white crappie<span>&nbsp;</span></span><i>P.&nbsp;annularis</i><span>, and yellow perch<span>&nbsp;</span></span><i>Perca flavescens</i><span>). Water chemistry (barium:calcium [Ba:Ca], strontium:calcium [Sr:Ca]) was temporally stable, spatially variable, and highly correlated with otolith chemistry for all species except yellow perch. Classification accuracies based on bivariate Ba:Ca and Sr:Ca signatures were high (84% across species) yet varied between floodplain and main‐channel habitats in a species‐specific manner. Thus, to maximize the reliability of otolith chemistry, researchers can use species classifications presented herein to inform habitat selection (e.g., study reservoir‐oriented species such as white bass in main‐channel environments) and habitat‐based classifications to inform species selection (e.g., focus floodplain studies on littoral species such as largemouth bass). Overall, species and habitat identity are important considerations for efficient, effective otolith chemistry studies that inform and advance fisheries and aquatic resource management.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3248","usgsCitation":"Radigan, W., Carlson, A.K., Kientz, J., Chipps, S.R., Fincel, M.J., and Graeb, B.D., 2018, Species‐ and habitat‐specific otolith chemistry patterns inform riverine fisheries management: River Research and Applications, v. 34, no. 3, p. 279-287, https://doi.org/10.1002/rra.3248.","productDescription":"9 p.","startPage":"279","endPage":"287","ipdsId":"IP-092404","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.27,\n              42.49\n            ],\n            [\n              -96.45,\n              42.49\n            ],\n            [\n              -96.45,\n              47.39\n            ],\n            [\n              -103.27,\n              47.39\n            ],\n            [\n              -103.27,\n              42.49\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","scienceBaseUri":"5b46e5ade4b060350a15d200","contributors":{"authors":[{"text":"Radigan, William","contributorId":205424,"corporation":false,"usgs":false,"family":"Radigan","given":"William","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":737249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Andrew K.","contributorId":172103,"corporation":false,"usgs":false,"family":"Carlson","given":"Andrew","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":737250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kientz, Jeremy","contributorId":205425,"corporation":false,"usgs":false,"family":"Kientz","given":"Jeremy","email":"","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":737251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fincel, Mark J.","contributorId":171853,"corporation":false,"usgs":false,"family":"Fincel","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":26957,"text":"South Dakota Game, Fish and Parks, Ft. Pierre, SD","active":true,"usgs":false}],"preferred":false,"id":737252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graeb, Brian D. S.","contributorId":171851,"corporation":false,"usgs":false,"family":"Graeb","given":"Brian","email":"","middleInitial":"D. S.","affiliations":[{"id":26956,"text":"Departement of Natural Resource Management, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":737253,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196711,"text":"70196711 - 2018 - Associations between cyanobacteria and indices of secondary production in the western basin of Lake Erie","interactions":[],"lastModifiedDate":"2019-06-27T07:53:35","indexId":"70196711","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Associations between cyanobacteria and indices of secondary production in the western basin of Lake Erie","docAbstract":"<p><span>Large lakes provide a variety of ecological services to surrounding cities and communities. Many of these services are supported by ecological processes that are threatened by the increasing prevalence of cyanobacterial blooms which occur as aquatic ecosystems experience cultural eutrophication. Over the past 10 yr, Lake Erie experienced cyanobacterial blooms of increasing severity and frequency, which have resulted in impaired drinking water for the surrounding communities. Cyanobacterial blooms may impact ecological processes that support other services, but many of these impacts have not been documented. Secondary production (production of primary consumers) is an important process that supports economically important higher trophic levels. Cyanobacterial blooms may influence secondary production because cyanobacteria are a poor‐quality food resource and cyanotoxins may be harmful to consumers. Over 3 yr at 34 sites across the western basin of Lake Erie, we measured three indices of secondary production that focus on the dominant bivalve taxa: (1) growth of a native unionid mussel, (2) the size of young‐of‐year dreissenid mussels, and (3) the mass of colonizing animals on a Hester‐Dendy sampler. Associations between these indices and cyanobacterial data were estimated to assess whether cyanobacteria are associated with variation in secondary production in the western basin of Lake Erie. The results suggest cyanobacterial abundance alone is only weakly associated with secondary production, but that cyanotoxins have a larger effect on secondary production. Given recurring late‐summer cyanobacterial blooms, this impact on secondary production has the potential to undermine Lake Erie's ability to sustain important ecosystem services.</span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography (ASLO)","doi":"10.1002/lno.10733","usgsCitation":"Larson, J.H., Evans, M.A., Kennedy, R.J., Bailey, S., Loftin, K.A., Laughrey, Z.R., Femmer, R., Schaeffer, J., Richardson, W.B., Wynne, T., Nelson, J., and Duris, J.W., 2018, Associations between cyanobacteria and indices of secondary production in the western basin of Lake Erie: Limnology and Oceanography, v. 63, no. S1, p. S232-S243, https://doi.org/10.1002/lno.10733.","productDescription":"12 p.","startPage":"S232","endPage":"S243","ipdsId":"IP-085475","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468950,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10733","text":"Publisher Index Page"},{"id":437994,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QSRU0E","text":"USGS data release","linkHelpText":"Temperature and invertebrate community composition at nearshore Great Lakes sites, 2013-2016"},{"id":353756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.51669311523438,\n              41.51063406062076\n            ],\n            [\n              -82.77923583984375,\n              41.51063406062076\n            ],\n            [\n              -82.77923583984375,\n              42.04011410708205\n            ],\n            [\n              -83.51669311523438,\n              42.04011410708205\n            ],\n            [\n              -83.51669311523438,\n              41.51063406062076\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","issue":"S1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-23","publicationStatus":"PW","scienceBaseUri":"5afee70fe4b0da30c1bfc0a4","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":734118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":4883,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":734119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Robert J. 0000-0003-2135-5022 rkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-2135-5022","contributorId":3652,"corporation":false,"usgs":true,"family":"Kennedy","given":"Robert","email":"rkennedy@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":734120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":734121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":734122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Laughrey, Zachary R. 0000-0002-7630-2078 zlaughrey@usgs.gov","orcid":"https://orcid.org/0000-0002-7630-2078","contributorId":198516,"corporation":false,"usgs":true,"family":"Laughrey","given":"Zachary","email":"zlaughrey@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":734123,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Femmer, Robin 0000-0003-4896-918X rfemmer@usgs.gov","orcid":"https://orcid.org/0000-0003-4896-918X","contributorId":198517,"corporation":false,"usgs":true,"family":"Femmer","given":"Robin","email":"rfemmer@usgs.gov","affiliations":[],"preferred":true,"id":734124,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schaeffer, Jeff 0000-0003-3430-0872 jschaeffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3430-0872","contributorId":2041,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeff","email":"jschaeffer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":734125,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":734126,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wynne, Timothy","contributorId":147819,"corporation":false,"usgs":false,"family":"Wynne","given":"Timothy","affiliations":[{"id":16942,"text":"National Oceanic and Atmospheric Administration, Silver Spring, Maryland","active":true,"usgs":false}],"preferred":false,"id":734127,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nelson, J. C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":459,"corporation":false,"usgs":true,"family":"Nelson","given":"J. C.","email":"jcnelson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":734128,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":172426,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":734129,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70195451,"text":"70195451 - 2018 - 2017 Landsat Science Team Summer Meeting Summary","interactions":[],"lastModifiedDate":"2018-03-28T15:55:02","indexId":"70195451","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3555,"text":"The Earth Observer","active":true,"publicationSubtype":{"id":10}},"title":"2017 Landsat Science Team Summer Meeting Summary","docAbstract":"<p>The summer meeting of the U.S. Geological Survey (USGS)-NASA Landsat Science Team (LST) was held June 11-13, 2017, at the USGS’s Earth Resources Observation and Science (EROS) Center near Sioux Falls, SD. This was the final meeting of the Second (2012-2017) LST.1 Frank Kelly [EROS—Center Director] welcomed the attendees and expressed his thanks to the LST members for their contributions. He then introduced video-recorded messages from South Dakota’s U.S. senators, John Thune and Mike Rounds, in which they acknowledged the efforts of the team in advancing the societal impacts of the Landsat Program.</p>","language":"English","publisher":"NASA","usgsCitation":"Crawford, C.J., Loveland, T.R., Wulder, M.A., and Irons, J.R., 2018, 2017 Landsat Science Team Summer Meeting Summary: The Earth Observer, v. 30, no. 1, p. 21-25.","productDescription":"5 p.","startPage":"21","endPage":"25","ipdsId":"IP-092816","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":352880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351675,"type":{"id":15,"text":"Index Page"},"url":"https://eospso.nasa.gov/sites/default/files/eo_pdfs/Jan_Feb_2018_color508_0.pdf#page=21"}],"volume":"30","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee712e4b0da30c1bfc0d4","contributors":{"authors":[{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":202517,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher","email":"cjcrawford@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":728669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":728670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulder, Michael A.","contributorId":189990,"corporation":false,"usgs":false,"family":"Wulder","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":731967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":731968,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190387,"text":"70190387 - 2018 - Anthropogenic enhancement of moderate-to-strong El Niño events likely contributed to drought and poor harvests in southern Africa during 2016","interactions":[],"lastModifiedDate":"2018-04-23T09:00:37","indexId":"70190387","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic enhancement of moderate-to-strong El Niño events likely contributed to drought and poor harvests in southern Africa during 2016","docAbstract":"<p> In December–February (DJF) of 2015/16, a strong El Niño (Niño‑3.4 SST &gt;29°C) contributed to a severe drought over southern Africa (SA; Funk et al. 2016). A 9-million ton cereal deficit resulted in 26 mil‑ lion people in need of humanitarian assistance (SADC 2016). While SA rainfall has a well-documented nega‑ tive teleconnection with Niño‑3.4 SSTs (Hoell et al. 2015, 2017; Jury et al. 1994; Lindesay 1988; Misra 2003; Nicholson and Entekhabi 1987; Nicholson and Kim 1997; Reason et al. 2000; Rocha and Simmonds 1997), the link between climate change and El Niño remains unclear (Christensen et al. 2013) due to the large natural variability of ENSO SSTs (Wittenberg 2009), uncertainties surrounding measurements and trends (Solomon and Newman 2012), intermodel differences in ENSO representation and feedbacks (Guilyardi et al. 2012; Kim et al. 2014), and difficulties associated with quantifying ENSO strength (Cai et al. 2015).</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-17-0112.1","usgsCitation":"Funk, C., Davenport, F., Harrison, L., Magadzire, T., Galu, G., Artan, G.A., Shukla, S., Korecha, D., Indeje, M., Pomposi, C., Macharia, D., Husak, G., and Dieudonne Nsadisa, F., 2018, Anthropogenic enhancement of moderate-to-strong El Niño events likely contributed to drought and poor harvests in southern Africa during 2016: Bulletin of the American Meteorological Society, v. 99, no. 1, p. 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,{"id":70159602,"text":"sir20155164 - 2018 - Volcanic aquifers of Hawai‘i—Hydrogeology, water budgets, and conceptual models","interactions":[],"lastModifiedDate":"2023-06-08T16:40:09.114831","indexId":"sir20155164","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5164","displayTitle":"Volcanic Aquifers of Hawai‘i—Hydrogeology, Water budgets, and Conceptual Models","title":"Volcanic aquifers of Hawai‘i—Hydrogeology, water budgets, and conceptual models","docAbstract":"<p>Hawai‘i’s aquifers have limited capacity to store fresh groundwater because each island is small and surrounded by saltwater. Saltwater also underlies much of the fresh groundwater. Fresh groundwater resources are, therefore, particularly vulnerable to human activity, short-term climate cycles, and long-term climate change. Availability of fresh groundwater for human use is constrained by the degree to which the impacts of withdrawal—such as lowering of the water table, saltwater intrusion, and reduction in the natural discharge to springs, streams, wetlands, and submarine seeps—are deemed acceptable. This report describes the hydrogeologic framework, groundwater budgets (inflows and outflows), conceptual models of groundwater occurrence and movement, and the factors limiting groundwater availability for the largest and most populated of the Hawaiian Islands—Kaua‘i, O‘ahu, Maui, and Hawai‘i Island.</p><p>The bulk of each of Hawai‘i’s islands is built of many thin lava flows erupted from shield volcanoes; the great piles of lava flows form highly permeable aquifers. In some areas, low-permeability dikes cutting across the lava flows, or low-permeability ash and soil horizons interlayered with the lava flows, can substantially alter groundwater flow. On some islands, sedimentary rocks form thick semiconfining coastal-plain deposits, locally known as caprock, that impede natural groundwater discharge to the ocean. In some regions, thick lava flows that ponded in preexisting depressions form aquifers that are much less permeable than aquifers formed by thin lava flows.</p><p>Fresh groundwater inflow to Hawai‘i’s aquifers comes from recharge. For predevelopment conditions (1870), estimates of groundwater recharge from this study are 871, 675, 1,279, and 5,291 million gallons per day (Mgal/d) for Kaua‘i, O‘ahu, Maui, and Hawai‘i Island, respectively. Estimates of recharge for recent conditions (2010 land cover and 1978–2007 rainfall for Kaua‘i, O‘ahu, and Maui; 2008 land cover and 1916–1983 rainfall for Hawai‘i Island) are 875, 660, 1,308, and 6,595 Mgal/d for Kaua‘i, O‘ahu, Maui, and Hawai‘i Island, respectively. Recent recharge values differ from predevelopment recharge values by only a few percent for all islands except Hawai‘i Island, where changes in forest cover affected recharge. Spatial distribution of recharge mimics the orographic rainfall pattern—recharge is high on&nbsp;windward slopes and mountain peaks below the top of the trade-wind inversion. Human activity such as irrigation also contributes to recharge in some areas.</p><p>Outflows from Hawai‘i’s aquifers include withdrawals from wells and natural groundwater discharge to springs, streams, wetlands, and submarine seeps. Under predevelopment conditions, groundwater withdrawal is assumed to be negligible and natural groundwater discharge probably was equal, or close, to recharge. Under recent conditions (2000–2010), groundwater withdrawal averaged 19, 209, 104, and 103 Mgal/d on Kaua‘i, O‘ahu, Maui, and Hawai‘i Island, respectively. If recent withdrawal and recharge rates are maintained until steady state is achieved, natural groundwater discharge will be reduced by an amount equal to the withdrawal rate. Total recent withdrawal for the four islands is only about 5 percent of total recharge, but about half of the withdrawal comes from O‘ahu, whereas O‘ahu receives only 7 percent of the total recharge. Effects of high withdrawals on O‘ahu cannot be mitigated by the lower withdrawals on other islands because no freshwater flows between islands. Even within an island, high withdrawals from one area cannot be completely mitigated by recharge in another area. Water-level, saltwater/freshwater-transition-zone, spring, and stream base-flow data indicate an overall reduction in storage for most areas where groundwater has been developed.</p><p>Groundwater occurrence and movement in Hawai‘i’s volcanic aquifers can be described in terms of four conceptual models: (1) fresh groundwater lenses in high-permeability lava-flow aquifers, (2) aquifers with groundwater impounded by dikes, (3) thickly saturated low-permeability aquifers, and (4) perched aquifers. In Hawai‘i, most fresh groundwater withdrawn for human use comes from freshwater lenses in the dike-free high-permeability lava-flow aquifers where the principal limiting factor to groundwater availability is saltwater intrusion, but impacts of reduced natural groundwater discharge may also limit availability. Dike-impounded groundwater is common near the center of Hawaiian shield volcanoes, where water moves and is stored in permeable lava flows between the dikes; groundwater availability in these aquifers is primarily limited by storage depletion and reduction of flow to adjacent aquifers and natural groundwater discharge. Thickly saturated low-permeability aquifers have been identified on Kaua‘i and Maui; groundwater availability is primarily limited by streamflow depletion and water-table decline. Perched groundwater is postulated to exist in some areas of Hawai‘i, but store much less water than other modes ofgroundwater occurrence. Limits on groundwater availability in perched aquifers include the potential of reducing inflow to other groundwater settings and reducing natural discharge and stream seepage. Some groundwater bodies in Hawai‘i are enigmatic; consequences of groundwater development in these bodies and their relation to groundwater availability are not completely understood.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155164","usgsCitation":"Izuka, S.K., Engott, J.A., Rotzoll, Kolja, Bassiouni, Maoya, Johnson, A.G., Miller, L.D., and Mair, Alan, 2018, Volcanic aquifers of Hawai‘i—Hydrogeology, water budgets, and conceptual models (ver. 2.0, March 2018): U.S. Geological Survey Scientific Investigations Report 2015-5164, 158 p., https://doi.org/10.3133/sir20155164.","productDescription":"Report: ix, 158 p.; Data Releases","numberOfPages":"172","ipdsId":"IP-058142","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":351940,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72F7KH4","linkHelpText":"Mean annual 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 \"}}]}","edition":"Version 1.0: June 13, 2016; Version 2.0: March 1, 2018","contact":"<p><a href=\"mailto:dc_hi@usgs.gov\" data-mce-href=\"mailto:dc_hi@usgs.gov\">Director</a>,&nbsp;<br><a href=\"https://hi.water.usgs.gov/\" data-mce-href=\"https://hi.water.usgs.gov/\">Pacific Islands Water Science Center</a><br><a href=\"https://usgs.gov/\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Inouye Regional Center<br>1845 Wasp Blvd., B176<br>Honolulu, HI 96818</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Study Area<br></li><li>Hydrogeologic Framework of the Islands<br></li><li>Fresh Groundwater-Flow Budget<br></li><li>Conceptual Models of Groundwater Occurrence and Movement<br></li><li>Study Limitations<br></li><li>Summary<br></li><li>References Cited<br></li><li>Appendix 1. Calculation of Groundwater Recharge<br></li><li>Appendix 2. Annual Groundwater Recharge, 2001–2010<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-06-13","revisedDate":"2018-03-01","noUsgsAuthors":false,"publicationDate":"2016-06-13","publicationStatus":"PW","scienceBaseUri":"575fcb20e4b04f417c2b2683","contributors":{"authors":[{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rotzoll, Kolja 0000-0002-5910-888X","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":201087,"corporation":false,"usgs":false,"family":"Rotzoll","given":"Kolja","affiliations":[],"preferred":false,"id":729255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bassiouni, Maoya 0000-0001-5795-9894 mbassiou@usgs.gov","orcid":"https://orcid.org/0000-0001-5795-9894","contributorId":4639,"corporation":false,"usgs":true,"family":"Bassiouni","given":"Maoya","email":"mbassiou@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":729256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Lisa D. 0000-0002-3523-0768 ldmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3523-0768","contributorId":1125,"corporation":false,"usgs":true,"family":"Miller","given":"Lisa","email":"ldmiller@usgs.gov","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mair, Alan 0000-0003-0302-6647 dmair@usgs.gov","orcid":"https://orcid.org/0000-0003-0302-6647","contributorId":4975,"corporation":false,"usgs":true,"family":"Mair","given":"Alan","email":"dmair@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729259,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197105,"text":"70197105 - 2018 - Rearing environment influences boldness and prey acquisition behavior, and brain and lens development of bull trout","interactions":[],"lastModifiedDate":"2018-05-17T11:46:27","indexId":"70197105","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Rearing environment influences boldness and prey acquisition behavior, and brain and lens development of bull trout","docAbstract":"<p><span>Animals reared in barren captive environments exhibit different developmental trajectories and behaviors than wild counterparts. Hence, the captive phenotypes may influence the success of reintroduction and recovery programs for threatened and endangered species. We collected wild bull trout embryos from the Metolius River Basin, Oregon and reared them in differing environments to better understand how captivity affects the bull trout&nbsp;</span><i class=\"EmphasisTypeItalic \">Salvelinus confluentus</i><span>phenotype. We compared the boldness and prey acquisition behaviors and development of the brain and eye lens of bull trout reared in conventional barren and more structurally complex captive environments with that of wild fish. Wild fish and captive reared fish from complex habitats exhibited a greater level of boldness and prey acquisition ability, than fish reared in conventional captive environments. In addition, the eye lens of conventionally reared bull trout was larger than complex reared captive fish or same age wild fish. Interestingly, we detected wild fish had a smaller relative cerebellum than either captive reared treatment. Our results suggest that rearing fish in more complex captive environments can create a more wild-like phenotype than conventional rearing practices. A better understanding of the effects of captivity on the development and behavior of bull trout can inform rearing and reintroduction programs though prediction of the performance of released individuals.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0705-z","usgsCitation":"Brignon, W.R., Pike, M.M., Ebbesson, L.O., Schaller, H.A., Peterson, J., and Schreck, C.B., 2018, Rearing environment influences boldness and prey acquisition behavior, and brain and lens development of bull trout: Environmental Biology of Fishes, v. 101, no. 3, p. 383-401, https://doi.org/10.1007/s10641-017-0705-z.","productDescription":"19 p.","startPage":"383","endPage":"401","ipdsId":"IP-091378","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-16","publicationStatus":"PW","scienceBaseUri":"5afee70ee4b0da30c1bfc092","contributors":{"authors":[{"text":"Brignon, William R.","contributorId":193087,"corporation":false,"usgs":false,"family":"Brignon","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pike, Martin M.","contributorId":204965,"corporation":false,"usgs":false,"family":"Pike","given":"Martin","email":"","middleInitial":"M.","affiliations":[{"id":37015,"text":"Oregon Health and Science University, Portland, OR","active":true,"usgs":false}],"preferred":false,"id":735609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebbesson, Lars O.E.","contributorId":204966,"corporation":false,"usgs":false,"family":"Ebbesson","given":"Lars","email":"","middleInitial":"O.E.","affiliations":[{"id":37016,"text":"University of Bergen, Thormøhlensgate 53 A/B, Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":735610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaller, Howard A.","contributorId":195101,"corporation":false,"usgs":false,"family":"Schaller","given":"Howard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735611,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735607,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":735612,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196334,"text":"70196334 - 2018 - Integrate urban‐scale seismic hazard analyses with the U.S. National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2019-08-30T06:57:40","indexId":"70196334","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Integrate urban‐scale seismic hazard analyses with the U.S. National Seismic Hazard Model","docAbstract":"<div><p>For more than 20&nbsp;yrs, damage patterns and instrumental recordings have highlighted the influence of the local 3D geologic structure on earthquake ground motions (e.g.,<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot; mathvariant=&quot;bold&quot;>M</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">M</span></span></span></span><span class=\"MJX_Assistive_MathML\">M</span></span></span>&nbsp;6.7 Northridge, California,<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf14\">Gao<span>&nbsp;</span><i>et&nbsp;al.</i>, 1996</a>;<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot; mathvariant=&quot;bold&quot;>M</mi></math>\"><span id=\"MathJax-Span-4\" class=\"math\"><span><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"mi\">M</span></span></span></span><span class=\"MJX_Assistive_MathML\">M</span></span></span>&nbsp;6.9 Kobe, Japan,<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf18\">Kawase, 1996</a>;<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot; mathvariant=&quot;bold&quot;>M</mi></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mi\">M</span></span></span></span><span class=\"MJX_Assistive_MathML\">M</span></span></span>&nbsp;6.8 Nisqually, Washington,<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf9\">Frankel, Carver, and Williams, 2002</a>). Although this and other local‐scale features are critical to improving seismic hazard forecasts, historically they have not been explicitly incorporated into the U.S. National Seismic Hazard Model (NSHM, national model and maps), primarily because the necessary basin maps and methodologies were not available at the national scale. Instead, the U.S. Geological Survey (USGS), its partners, and external groups developed urban seismic hazard maps (urban models and maps) that consider detailed site effects in local areas (e.g.,<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf27\">Wong<span>&nbsp;</span><i>et&nbsp;al.</i>, 2002</a>;<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf6\">Cramer<span>&nbsp;</span><i>et&nbsp;al.</i>, 2006</a>;<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf13\">Frankel<span>&nbsp;</span><i>et&nbsp;al.</i>, 2007</a>;<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf15\">Graves<span>&nbsp;</span><i>et&nbsp;al.</i>, 2011</a>). The disconnect between the urban and national hazard models, however, means that the national models, which underlie U.S. building codes and other applications, do not make use of all of the scientific results informing earthquake ground‐shaking hazards.</p></div><div><p>We recommend that future U.S. national seismic hazard assessment make use of all available regional information, including that in urban models. In this column, we describe the roles of and differences between the urban and national models, and discuss the obstacles to and benefits of integrating the urban models with the national model. Future progress on this issue will require further coordination and implementation efforts between the USGS and external partners.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170261","usgsCitation":"Moschetti, M.P., Luco, N., Frankel, A.D., Petersen, M.D., Aagaard, B.T., Baltay Sundstrom, A.S., Blanpied, M.L., Boyd, O.S., Briggs, R.W., Gold, R.D., Graves, R., Hartzell, S.H., Rezaeian, S., Stephenson, W.J., Wald, D.J., Williams, R., and Withers, K., 2018, Integrate urban‐scale seismic hazard analyses with the U.S. National Seismic Hazard Model: Seismological Research Letters, v. 89, no. 3, p. 967-970, https://doi.org/10.1785/0220170261.","productDescription":"4 p.","startPage":"967","endPage":"970","ipdsId":"IP-094326","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":353086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-28","publicationStatus":"PW","scienceBaseUri":"5afee70fe4b0da30c1bfc0ae","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":732357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":732358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":732359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":732360,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blanpied, Michael L. 0000-0002-3294-4458 mblanpied@usgs.gov","orcid":"https://orcid.org/0000-0002-3294-4458","contributorId":203801,"corporation":false,"usgs":true,"family":"Blanpied","given":"Michael","email":"mblanpied@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":732361,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":732362,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732363,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732364,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":732365,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732366,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732367,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732368,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732369,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Williams, Robert A. 0000-0002-2973-8493","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":203802,"corporation":false,"usgs":false,"family":"Williams","given":"Robert A.","affiliations":[{"id":36721,"text":"USGS-Emeritus","active":true,"usgs":false}],"preferred":false,"id":732370,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Withers, Kyle 0000-0001-7863-3930","orcid":"https://orcid.org/0000-0001-7863-3930","contributorId":203492,"corporation":false,"usgs":true,"family":"Withers","given":"Kyle","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732371,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70160593,"text":"70160593 - 2018 - Understanding map projections","interactions":[],"lastModifiedDate":"2020-08-20T16:57:54.157601","indexId":"70160593","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Understanding map projections","docAbstract":"<p><span>It has probably never been more important in the history of cartography than now that people understand how maps work. With increasing globalization, for example, world maps provide a key format for the transmission of information, but are often poorly used. Examples of poor understanding and use of projections and the resultant maps are many; for instance, the use of rectangular world maps in the United Kingdom press to show Chinese and Korean missile ranges as circles, something which can only be achieved on equidistant projections and then only from one launch point (Vujakovic, 2014).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Routledge handbook of mapping and cartography","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Routledge","isbn":"9781138831025","usgsCitation":"Usery, E.L., 2018, Understanding map projections, chap. 15 <i>of</i> The Routledge handbook of mapping and cartography, 21 p.","productDescription":"21 p.","ipdsId":"IP-068403","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":352881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340035,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.routledge.com/The-Routledge-Handbook-of-Mapping-and-Cartography/Kent-Vujakovic/p/book/9781138831025"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee713e4b0da30c1bfc0de","contributors":{"editors":[{"text":"Kent, Alexander J.","contributorId":191200,"corporation":false,"usgs":false,"family":"Kent","given":"Alexander","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692288,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Vujakovic, Peter","contributorId":191199,"corporation":false,"usgs":false,"family":"Vujakovic","given":"Peter","email":"","affiliations":[],"preferred":false,"id":692289,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":583230,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196265,"text":"70196265 - 2018 - Technical note: False low turbidity readings from optical probes during high suspended-sediment concentrations","interactions":[],"lastModifiedDate":"2018-03-29T10:32:21","indexId":"70196265","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Technical note: False low turbidity readings from optical probes during high suspended-sediment concentrations","docAbstract":"<p><span>Turbidity, a&nbsp;measure of water clarity, is monitored for a&nbsp;variety of purposes including (1)&nbsp;to help determine whether water is safe to drink, (2)&nbsp;to establish background conditions of lakes and rivers and detect pollution caused by construction projects and stormwater discharge, (3)&nbsp;to study sediment transport in rivers and erosion in catchments, (4)&nbsp;to manage siltation of water reservoirs, and (5)&nbsp;to establish connections with aquatic biological properties, such as primary production and predator–prey interactions. Turbidity is typically measured with an optical probe that detects light scattered from particles in the water. Probes have defined upper limits of the range of turbidity that they can measure. The general assumption is that when turbidity exceeds this upper limit, the values of turbidity will be constant, i.e., the probe is&nbsp;</span><q>pegged</q><span>; however, this assumption is not necessarily valid. In rivers with limited variation in the physical properties of the suspended sediment, at lower suspended-sediment concentrations, an increase in suspended-sediment concentration will cause a&nbsp;linear increase in turbidity. When the suspended-sediment concentration in these rivers is high, turbidity levels can exceed the upper measurement limit of an optical probe and record a&nbsp;constant<span>&nbsp;</span></span><q>pegged</q><span><span>&nbsp;</span>value. However, at extremely high suspended-sediment concentrations, optical turbidity probes do not necessarily stay<span>&nbsp;</span></span><q>pegged</q><span><span>&nbsp;</span>at a&nbsp;constant value. Data from the Colorado River in Grand Canyon, Arizona, USA, and a&nbsp;laboratory experiment both demonstrate that when turbidity exceeds instrument-pegged conditions, increasing suspended-sediment concentration (and thus increasing turbidity) may cause optical probes to record decreasing<span>&nbsp;</span></span><q>false</q><span><span>&nbsp;</span>turbidity values that appear to be within the valid measurement range of the probe. Therefore, under high-turbidity conditions, other surrogate measurements of turbidity (e.g., acoustic-attenuation measurements or suspended-sediment samples) are necessary to correct these low false turbidity measurements and accurately measure turbidity.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-22-1767-2018","usgsCitation":"Voichick, N., Topping, D.J., and Griffiths, R.E., 2018, Technical note: False low turbidity readings from optical probes during high suspended-sediment concentrations: Hydrology and Earth System Sciences, v. 22, p. 1767-1773, https://doi.org/10.5194/hess-22-1767-2018.","productDescription":"7 p.","startPage":"1767","endPage":"1773","ipdsId":"IP-090297","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468947,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-22-1767-2018","text":"Publisher Index Page"},{"id":437997,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72N516S","text":"USGS data release","linkHelpText":"Laboratory experiment dataturbidity response to increasing silt and clay concentration"},{"id":352925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-12","publicationStatus":"PW","scienceBaseUri":"5afee710e4b0da30c1bfc0b0","contributors":{"authors":[{"text":"Voichick, Nicholas 0000-0002-9716-5906 nvoichick@usgs.gov","orcid":"https://orcid.org/0000-0002-9716-5906","contributorId":203632,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":731989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":731990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":731991,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194641,"text":"tm14A2 - 2018 - THRESH—Software for tracking rainfall thresholds for landslide and debris-flow occurrence, user manual","interactions":[],"lastModifiedDate":"2018-03-01T11:10:52","indexId":"tm14A2","displayToPublicDate":"2018-02-28T17:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"14-A2","title":"THRESH—Software for tracking rainfall thresholds for landslide and debris-flow occurrence, user manual","docAbstract":"<p>Precipitation thresholds are used in many areas to provide early warning of precipitation-induced landslides and debris flows, and the software distribution THRESH is designed for automated tracking of precipitation, including precipitation forecasts, relative to thresholds for landslide occurrence. This software is also useful for analyzing multiyear precipitation records to compare timing of threshold exceedance with dates and times of historical landslides. This distribution includes the main program THRESH for comparing precipitation to several kinds of thresholds, two utility programs, and a small collection of Python and shell scripts to aid the automated collection and formatting of input data and the graphing and further analysis of output results. The software programs can be deployed on computing platforms that support Fortran 95, Python 2, and certain Unix commands. The software handles rainfall intensity-duration thresholds, cumulative recent-antecedent precipitation thresholds, and peak intensity thresholds as well as various measures of antecedent precipitation. Users should have predefined rainfall thresholds before running THRESH.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Modeling methods in Book 14: <i>Landslide and debris-flow assessment</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm14A2","usgsCitation":"Baum, R.L., Fischer, S.J., and Vigil, J.C., 2018, THRESH—Software for tracking rainfall thresholds for landslide and debris-flow occurrence, user manual: U.S. Geological Survey Techniques and Methods, book 14, chap. A2, 33 p., https://doi.org/10.3133/tm14A2.","productDescription":"Report: v, 33 p.; Software release","onlineOnly":"Y","ipdsId":"IP-087132","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437999,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q23XR0","text":"USGS data release","linkHelpText":"Thresh - Software for Tracking Rainfall Thresholds for Landslide and Debris Flow Occurrence, Code Repository"},{"id":352130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/14/a2/coverthb.jpg"},{"id":352140,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/F7Q23XR0","text":"Software Release","linkHelpText":"THRESH"},{"id":352131,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/14/a2/tm14a2.pdf","text":"Report","size":"7.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 14-A2"}],"publicComments":"This report is Chapter 2 of Section A: Modeling methods in Book 14: <i>Landslide and debris-flow assessment</i>.","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geohazards\" data-mce-href=\"https://www.usgs.gov/centers/geohazards\">Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS 966<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Features</li><li>Theoretical Basis of the Program</li><li>Program Operation</li><li>Utility Programs</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Seattle, Washington, Example</li><li>Appendix 2. Example of Using Rainfall Forecasts with Thresholds</li><li>Appendix 3. Hydrological Monitoring Sites</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-02-28","noUsgsAuthors":false,"publicationDate":"2018-02-28","publicationStatus":"PW","scienceBaseUri":"5afee713e4b0da30c1bfc0e0","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":724706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Sarah J.","contributorId":201201,"corporation":false,"usgs":false,"family":"Fischer","given":"Sarah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vigil, Jacob C.","contributorId":201202,"corporation":false,"usgs":false,"family":"Vigil","given":"Jacob","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":724708,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195704,"text":"tm9A0 - 2018 - General introduction for the “National Field Manual for the Collection of Water-Quality Data”","interactions":[],"lastModifiedDate":"2018-06-22T16:22:10","indexId":"tm9A0","displayToPublicDate":"2018-02-28T14:35:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"9-A0","title":"General introduction for the “National Field Manual for the Collection of Water-Quality Data”","docAbstract":"<h1>Background</h1><p>As part of its mission, the U.S. Geological Survey (USGS) collects data to assess the quality of our Nation’s water resources. A high degree of reliability and standardization of these data are paramount to fulfilling this mission. Documentation of nationally accepted methods used by USGS personnel serves to maintain consistency and technical quality in data-collection activities. “The National Field Manual for the Collection of Water-Quality Data” (NFM) provides documented guidelines and protocols for USGS field personnel who collect water-quality data. The NFM provides detailed, comprehensive, and citable procedures for monitoring the quality of surface water and groundwater. Topics in the NFM include (1) methods and protocols for sampling water resources, (2) methods for processing samples for analysis of water quality, (3) methods for measuring field parameters, and (4) specialized procedures, such as sampling water for low levels of mercury and organic wastewater chemicals, measuring biological indicators, and sampling bottom sediment for chemistry. Personnel who collect water-quality data for national USGS programs and projects, including projects supported by USGS cooperative programs, are mandated to use protocols provided in the NFM per USGS Office of Water Quality Technical Memorandum 2002.13. Formal training, for example, as provided in the USGS class, “Field Water-Quality Methods for Groundwater and Surface Water,” and field apprenticeships supplement the guidance provided in the NFM and ensure that the data collected are high quality, accurate, and scientifically defensible.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: National Field Manual for the Collection of Water-Quality Data in Book 9: <i>Handbooks for Water-Resources Investigations</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm9A0","usgsCitation":"U.S. Geological Survey, 2018, General introduction for the “National Field Manual for the Collection of Water-Quality Data” (ver. 1.1, June 2018): U.S. Geological Survey Techniques and Methods, book 9, chap. A0, 4 p., https://doi.org/10.3133/tm9A0. [Supersedes USGS Techniques and Methods,<br> book 9, chap. A0, version 1.0.]","productDescription":"iv, 4 p.","numberOfPages":"11","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088394","costCenters":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"links":[{"id":355125,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/09/a0/versionHist.txt","size":"1 MB","linkFileType":{"id":2,"text":"txt"}},{"id":352088,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/09/a0/coverthb2.jpg"},{"id":352089,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/09/a0/tm9a0.pdf","text":"Report","size":"263 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 9A0"}],"edition":"Version 1.1","publicComments":"This report is Chapter 0 of Section A: National Field Manual for the Collection of Water-Quality Data in Book 9: <i>Handbooks for Water-Resources Investigations</i>.\n<p> </p>\n<p>General introduction for the “National Field Manual for the Collection of Water-Quality Data” (ver. 1.1) supersedes version 1.0 released February 2018. </p>","contact":"<p>Chief, Office of Quality Assurance <br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive, MS 432<br> Reston, VA 20192</p>","tableOfContents":"<ul><li>Foreword</li><li>Background</li><li>Transition to a New Series</li><li>Purpose and Scope</li><li>Chapters of the “National Field Manual for the Collection of Water-Quality Data”</li><li>Revision Process</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2018-02-28","revisedDate":"2018-06-22","noUsgsAuthors":false,"publicationDate":"2018-02-28","publicationStatus":"PW","scienceBaseUri":"5afee713e4b0da30c1bfc0e2","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":127955,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":729755,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196033,"text":"70196033 - 2018 - Overcoming equifinality: Leveraging long time series for stream metabolism estimation","interactions":[],"lastModifiedDate":"2020-09-02T13:05:49.378881","indexId":"70196033","displayToPublicDate":"2018-02-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Overcoming equifinality: Leveraging long time series for stream metabolism estimation","docAbstract":"<p><span>The foundational ecosystem processes of gross primary production (GPP) and ecosystem respiration (ER) cannot be measured directly but can be modeled in aquatic ecosystems from subdaily patterns of oxygen (O</span><sub>2</sub><span>) concentrations. Because rivers and streams constantly exchange O</span><sub>2</sub><span><span>&nbsp;</span>with the atmosphere, models must either use empirical estimates of the gas exchange rate coefficient (</span><i>K</i><sub>600</sub><span>) or solve for all three parameters (GPP, ER, and<span>&nbsp;</span></span><i>K</i><sub>600</sub><span>) simultaneously. Empirical measurements of<span>&nbsp;</span></span><i>K</i><sub>600</sub><span><span>&nbsp;</span>require substantial field work and can still be inaccurate. Three-parameter models have suffered from equifinality, where good fits to O</span><sub>2</sub><span><span>&nbsp;</span>data are achieved by many different parameter values, some unrealistic. We developed a new three-parameter, multiday model that ensures similar values for<span>&nbsp;</span></span><i>K</i><sub>600</sub><span><span>&nbsp;</span>among days with similar physical conditions (e.g., discharge). Our new model overcomes the equifinality problem by (1) flexibly relating<span>&nbsp;</span></span><i>K</i><sub>600</sub><span><span>&nbsp;</span>to discharge while permitting moderate daily deviations and (2) avoiding the oft-violated assumption that residuals in O</span><sub>2</sub><span><span>&nbsp;</span>predictions are uncorrelated. We implemented this hierarchical state-space model and several competitor models in an open-source R package,<span>&nbsp;</span></span><i>streamMetabolizer</i><span>. We then tested the models against both simulated and field data. Our new model reduces error by as much as 70% in daily estimates of<span>&nbsp;</span></span><i>K</i><sub>600</sub><span>, GPP, and ER. Further, accuracy benefits of multiday data sets require as few as 3&nbsp;days of data. This approach facilitates more accurate metabolism estimates for more streams and days, enabling researchers to better quantify carbon fluxes, compare streams by their metabolic regimes, and investigate controls on aquatic activity.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JG004140","usgsCitation":"Appling, A.P., Hall, R., Yackulic, C.B., and Arroita, M., 2018, Overcoming equifinality: Leveraging long time series for stream metabolism estimation: Journal of Geophysical Research: Biogeosciences, v. 123, no. 2, p. 624-645, https://doi.org/10.1002/2017JG004140.","productDescription":"22 p.","startPage":"624","endPage":"645","ipdsId":"IP-089889","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":468966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jg004140","text":"Publisher Index Page"},{"id":352520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-28","publicationStatus":"PW","scienceBaseUri":"5afee714e4b0da30c1bfc0e6","contributors":{"authors":[{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":731078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Robert O. Jr.","contributorId":145459,"corporation":false,"usgs":false,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[{"id":16121,"text":"Uni. of Wyoming, Department of Zoology and Physiology","active":true,"usgs":false}],"preferred":false,"id":731079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":731080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arroita, Maite 0000-0001-8754-7604","orcid":"https://orcid.org/0000-0001-8754-7604","contributorId":203307,"corporation":false,"usgs":false,"family":"Arroita","given":"Maite","email":"","affiliations":[{"id":36597,"text":"Flathead Lake Biological Station, University of Montana; University of the Basque Country","active":true,"usgs":false}],"preferred":false,"id":731081,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195695,"text":"70195695 - 2018 - Spatial and spectral interpolation of ground-motion intensity measure observations","interactions":[],"lastModifiedDate":"2018-08-08T15:52:47","indexId":"70195695","displayToPublicDate":"2018-02-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and spectral interpolation of ground-motion intensity measure observations","docAbstract":"<p><span>Following a significant earthquake, ground‐motion observations are available for a limited set of locations and intensity measures (IMs). Typically, however, it is desirable to know the ground motions for additional IMs and at locations where observations are unavailable. Various interpolation methods are available, but because IMs or their logarithms are normally distributed, spatially correlated, and correlated with each other at a given location, it is possible to apply the conditional multivariate normal (MVN) distribution to the problem of estimating unobserved IMs. In this article, we review the MVN and its application to general estimation problems, and then apply the MVN to the specific problem of ground‐motion IM interpolation. In particular, we present (1)&nbsp;a formulation of the MVN for the simultaneous interpolation of IMs across space and IM type (most commonly, spectral response at different oscillator periods) and (2)&nbsp;the inclusion of uncertain observation data in the MVN formulation. These techniques, in combination with modern empirical ground‐motion models and correlation functions, provide a flexible framework for estimating a variety of IMs at arbitrary locations.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170201","usgsCitation":"Worden, C., Thompson, E.M., Baker, J.W., Bradley, B.A., Luco, N., and Wald, D.J., 2018, Spatial and spectral interpolation of ground-motion intensity measure observations: Bulletin of the Seismological Society of America, v. 108, no. 2, p. 866-875, https://doi.org/10.1785/0120170201.","productDescription":"10 p.","startPage":"866","endPage":"875","ipdsId":"IP-092580","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-13","publicationStatus":"PW","scienceBaseUri":"5afee714e4b0da30c1bfc0f0","contributors":{"authors":[{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":729736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Jack W.","contributorId":115861,"corporation":false,"usgs":false,"family":"Baker","given":"Jack","email":"","middleInitial":"W.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":729737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Brendon A.","contributorId":202814,"corporation":false,"usgs":false,"family":"Bradley","given":"Brendon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":729738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":729739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":741992,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195720,"text":"70195720 - 2018 - Anthropogenic impact in the Mayan Lowlands of Petén, Guatemala, during the last 5500 years","interactions":[],"lastModifiedDate":"2018-02-28T09:34:02","indexId":"70195720","displayToPublicDate":"2018-02-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic impact in the Mayan Lowlands of Petén, Guatemala, during the last 5500 years","docAbstract":"Trace and rare earth elements from a Lake Peten Itzá (Guatemala) sediment core depict the geochemical dynamics affecting the lake from ~5500 y BP to the present. This timing encompasses the Preclassic (4000 to 1700 y BP) and Classic Periods (1700-1000 y BP) when thriving Maya societies extensively cleared land for agriculture. We demonstrate that this land use occurred during times of increased precipitation, where both processes resulted in increased erosion. Rare earth element ratios depict high precipitation rates between 3000 to 1000 y BP, correlating with an increase in allocthonous silicate input and low organic carbon in the “Maya Clay” stratigraphic section, where this layer is ascribed to intensive anthropogenic land use. Cesium anomalies provide additional evidence for runoff due to high rainfalls and amplified by anthropogenic impacts. The Peten Itzá core contains anomalous spikes of arsenic and mercury, where these peaks correspond to documented volcanic eruptions, and therefore are likely due to natural causes. The geochemical composition of sediments and palynological records indicate a re-growth of the forest after ~900 y BP. This increased forest vegetation coincides with the timing of the decline in Maya agriculture.","language":"English","publisher":"Wiley","doi":"10.1002/jqs.3013","usgsCitation":"Battistel, D., Roman, M., Marchetti, A., Kehrwald, N.M., Radaelli, M., Balliana, E., Toscano, G., and Barbante, C., 2018, Anthropogenic impact in the Mayan Lowlands of Petén, Guatemala, during the last 5500 years: Journal of Quaternary Science, v. 33, no. 2, p. 166-176, https://doi.org/10.1002/jqs.3013.","productDescription":"11 p.","startPage":"166","endPage":"176","ipdsId":"IP-085878","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468967,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10278/3697605","text":"External 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Italy","active":true,"usgs":false}],"preferred":false,"id":729774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Marco","contributorId":202818,"corporation":false,"usgs":false,"family":"Roman","given":"Marco","email":"","affiliations":[{"id":36530,"text":"ECSIN -- European Center for the Sustainable Impact of Nanotechnology","active":true,"usgs":false}],"preferred":false,"id":729775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marchetti, A","contributorId":202819,"corporation":false,"usgs":false,"family":"Marchetti","given":"A","email":"","affiliations":[{"id":36529,"text":"Department of Environmental Science, Informatics and Statistics, University Ca' Foscari of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":729776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kehrwald, Natalie M. 0000-0002-9160-2239 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Informatics and Statistics, University Ca' Foscari of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":729778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Toscano, Giuseppina","contributorId":202822,"corporation":false,"usgs":false,"family":"Toscano","given":"Giuseppina","email":"","affiliations":[{"id":36531,"text":"Institute for the Dynamics of Environmental Processes -- CNR, University Ca' Foscari of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":729780,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barbante, Carlo","contributorId":202632,"corporation":false,"usgs":false,"family":"Barbante","given":"Carlo","email":"","affiliations":[{"id":36503,"text":"Department of Environmental Sciences, Infomatics, and Statistics, Ca'Foscari University of Venice, Via Torino 155, 30172 Mestre (VE), Italy","active":true,"usgs":false}],"preferred":false,"id":729779,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70195753,"text":"70195753 - 2018 - The geochemistry of loess: Asian and North American deposits compared","interactions":[],"lastModifiedDate":"2018-02-28T11:10:32","indexId":"70195753","displayToPublicDate":"2018-02-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2184,"text":"Journal of Asian Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The geochemistry of loess: Asian and North American deposits compared","docAbstract":"<p><span>Loess is widely distributed over Asia and North America and constitutes one of the most important surficial deposits that serve as terrestrial records of the Quaternary. The oldest Pleistocene loess in China is likely ∼2.6 Ma, thus spanning much or all of the Pleistocene. In North America, most loess is no older than the penultimate glacial period, with the exception of Alaska, where the record may go back to ∼3.0 Ma. On both continents, loess deposits date primarily to glacial periods, and interglacial or interstadial periods are represented by paleosols. Both glacial and non-glacial sources of silts that comprise the bulk of loess deposits are found on both continents. Although loess has been considered to be representative of the average upper continental crust, there are regionally distinctive compositions of loess in both Asia and North America. Loess deposits in Asia from Yakutia, Tajikistan, and China have compositionally distinct major element compositions, due to varying abundances of silicate minerals, carbonate minerals, and clay minerals. In North America, loess in the Mississippi River valley, the Great Plains, and Alaska are also distinguishable with regard to major element composition that reflects highly diverse source sediments. Trace element geochemistry (Sc-Th-Zr and the rare earth elements) also shows regional diversity of loess bodies, in both Asia and North America. On both continents, most loess bodies show significant contributions from later-cycle, altered sedimentary rocks, as opposed to direct derivation from igneous rocks. Further, some loess bodies have detectable contributions from mafic igneous rocks as well as major contributions from average, upper-crustal, felsic rocks. Intercalated paleosols in loess sections show geochemical compositions that differ significantly from the underlying loess parent materials. Ratios of soluble-to-insoluble elements show depletions in paleosols due to chemical weathering losses of calcite, dolomite, plagioclase, mica, apatite, and smectite. In Asia and North America, the last interglacial paleosol is more weathered than equivalent modern soils, which could be due either to a climate that was warmer and more humid, a longer period of pedogenesis, or both. In Asia, early Pleistocene loess and paleosols are both more weathered than those from the middle and late Pleistocene, forming prior to a mid-Pleistocene aridification of Asia from uplift of the Tibetan Plateau. Understanding the geochemistry of loess and paleosols can tell us much about past atmospheric circulation, past temperature and moisture regimes, and even tectonic processes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jseaes.2017.10.032","usgsCitation":"Muhs, D.R., 2018, The geochemistry of loess: Asian and North American deposits compared: Journal of Asian Earth Sciences, v. 155, p. 81-115, https://doi.org/10.1016/j.jseaes.2017.10.032.","productDescription":"35 p.","startPage":"81","endPage":"115","ipdsId":"IP-091000","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":461011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jseaes.2017.10.032","text":"Publisher Index Page"},{"id":352125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee714e4b0da30c1bfc0ec","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":140288,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":729791,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70195754,"text":"70195754 - 2018 - Future southcentral US wildfire probability due to climate change","interactions":[],"lastModifiedDate":"2018-03-26T13:47:27","indexId":"70195754","displayToPublicDate":"2018-02-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1246,"text":"Climate Change","onlineIssn":"1573-1480","printIssn":"0165-0009","active":true,"publicationSubtype":{"id":10}},"title":"Future southcentral US wildfire probability due to climate change","docAbstract":"<p><span>Globally, changing fire regimes due to climate is one of the greatest threats to ecosystems and society. In this paper, we present projections of future fire probability for the southcentral USA using downscaled climate projections and the Physical Chemistry Fire Frequency Model (PC2FM). Future fire probability is projected to both increase and decrease across the study region of Oklahoma, New Mexico, and Texas. Among all end-of-century projections, change in fire probabilities (CFPs) range from − 51 to + 240%. Greatest absolute increases in fire probability are shown for areas within the range of approximately 75 to 160&nbsp;cm mean annual precipitation (MAP), regardless of climate model. Although fire is likely to become more frequent across the southcentral USA, spatial patterns may remain similar unless significant increases in precipitation occur, whereby more extensive areas with increased fire probability are predicted. Perhaps one of the most important results is illumination of climate changes where fire probability response (+, −) may deviate (i.e., tipping points). Fire regimes of southcentral US ecosystems occur in a geographic transition zone from reactant- to reaction-limited conditions, potentially making them uniquely responsive to different scenarios of temperature and precipitation changes. Identification and description of these conditions may help anticipate fire regime changes that will affect human health, agriculture, species conservation, and nutrient and water cycling.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-018-2156-8","usgsCitation":"Stambaugh, M.C., Guyette, R.P., Stroh, E.D., Struckhoff, M.A., and Whittier, J.B., 2018, Future southcentral US wildfire probability due to climate change: Climate Change, v. 147, no. 3-4, p. 617-631, https://doi.org/10.1007/s10584-018-2156-8.","productDescription":"15 p.","startPage":"617","endPage":"631","ipdsId":"IP-088702","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":352124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"147","issue":"3-4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-26","publicationStatus":"PW","scienceBaseUri":"5afee714e4b0da30c1bfc0ea","contributors":{"authors":[{"text":"Stambaugh, Michael C.","contributorId":202826,"corporation":false,"usgs":false,"family":"Stambaugh","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":13706,"text":"University of Missouri-Columbia","active":true,"usgs":false}],"preferred":false,"id":729793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guyette, Richard P.","contributorId":176595,"corporation":false,"usgs":false,"family":"Guyette","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":729794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stroh, Esther D. 0000-0003-4291-4647 estroh@usgs.gov","orcid":"https://orcid.org/0000-0003-4291-4647","contributorId":2813,"corporation":false,"usgs":true,"family":"Stroh","given":"Esther","email":"estroh@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":729792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Struckhoff, Matthew A. 0000-0002-4911-9956 mstruckhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":2095,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","email":"mstruckhoff@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":729795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":729801,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195565,"text":"ofr20181029 - 2018 - Suspended-sediment transport from the Green-Duwamish River to the Lower Duwamish Waterway, Seattle, Washington, 2013–17","interactions":[],"lastModifiedDate":"2018-03-01T11:06:55","indexId":"ofr20181029","displayToPublicDate":"2018-02-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1029","title":"Suspended-sediment transport from the Green-Duwamish River to the Lower Duwamish Waterway, Seattle, Washington, 2013–17","docAbstract":"<p class=\"p1\">The Green-Duwamish River transports watershed-derived sediment to the Lower Duwamish Waterway Superfund site near Seattle, Washington. Understanding the amount of sediment transported by the river is essential to the bed sediment cleanup process. Turbidity, discharge, suspended-sediment concentration (SSC), and particle-size data were collected by the U.S. Geological Survey (USGS) from February 2013 to January 2017 at the Duwamish River, Washington, within the tidal influence at river kilometer 16.7 (USGS streamgage 12113390; Duwamish River at Golf Course at Tukwila, WA). This report quantifies the timing and magnitude of suspended-sediment transported in the Duwamish River. Regression models were developed between SSC and turbidity and SSC and discharge to estimate 15- minute SSC. Suspended-sediment loads were calculated from the computed SSC and time-series discharge data for every 15-minute interval during the study period. The 2014–16 average annual suspended-sediment load computed was 117,246 tons (106,364 metric tons), of which 73.5 percent or (86,191 tons; 78,191 metric tons) was fine particle (less than 0.0625 millimeter in diameter) suspended sediment. The seasonality of this site is apparent when you divide the year into \"wet\" (October 16– April 15) and \"dry\" (April 16–October 15) seasons. Most (97 percent) of the annual suspended sediment was transported during the wet season, when brief periods of intense precipitation from storms, large releases from the Howard Hanson Dam, or a combination of both were much more frequent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181029","collaboration":"Prepared in cooperation with the Washington State Department of Ecology","usgsCitation":"Senter, C.A., Conn, K.E., Black, R.W., Peterson, N., Vanderpool-Kimura, A., and Foreman, J.R., 2018, Suspended-sediment transport from the Green-Duwamish River to the Lower Duwamish Waterway, Seattle, Washington, 2013–17: U.S. Geological Survey Open-File Report 2018–1029, 23 p., https://doi.org/10.3133/ofr20181029.","productDescription":"Report: vi, 23 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-092733","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":352133,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1029/coverthb.jpg"},{"id":352134,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1029/ofr20181029.pdf","text":"Report","size":"9.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1029"},{"id":352135,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71835Q9","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data for turbidity, discharge, and suspended-sediment concentrations and loads, Duwamish River, Tukwila, Washington"}],"country":"United States","state":"Washington","city":"Seattle","otherGeospatial":"Green-Duwamish River, Lower Duwanish Waterway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.39627838134766,\n              47.458272792347074\n            ],\n            [\n              -122.22290039062499,\n              47.458272792347074\n            ],\n            [\n              -122.22290039062499,\n              47.59875528481801\n            ],\n            [\n              -122.39627838134766,\n              47.59875528481801\n            ],\n            [\n              -122.39627838134766,\n              47.458272792347074\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, <a href=\"https://wa.water.usgs.gov\" target=\"blank\" data-mce-href=\"https://wa.water.usgs.gov\">Washington Water Science Center</a><br> U.S. Geological Survey<br> 934 Broadway, Suite 300<br> Tacoma, Washington 98402</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishedDate":"2018-02-28","noUsgsAuthors":false,"publicationDate":"2018-02-28","publicationStatus":"PW","scienceBaseUri":"5afee714e4b0da30c1bfc0f4","contributors":{"authors":[{"text":"Senter, Craig A. 0000-0002-5479-3080 csenter@usgs.gov","orcid":"https://orcid.org/0000-0002-5479-3080","contributorId":150044,"corporation":false,"usgs":true,"family":"Senter","given":"Craig","email":"csenter@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Norman 0000-0001-6071-8741 npeterson@usgs.gov","orcid":"https://orcid.org/0000-0001-6071-8741","contributorId":177365,"corporation":false,"usgs":true,"family":"Peterson","given":"Norman","email":"npeterson@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanderpool-Kimura, Ann M. 0000-0002-9382-2868 avander@usgs.gov","orcid":"https://orcid.org/0000-0002-9382-2868","contributorId":150042,"corporation":false,"usgs":true,"family":"Vanderpool-Kimura","given":"Ann","email":"avander@usgs.gov","middleInitial":"M.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":729815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":139319,"corporation":false,"usgs":true,"family":"Foreman","given":"James","email":"jforeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":729816,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195758,"text":"70195758 - 2018 - Regional climate response collaboratives: Multi-institutional support for climate resilience","interactions":[],"lastModifiedDate":"2018-07-03T11:35:20","indexId":"70195758","displayToPublicDate":"2018-02-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Regional climate response collaboratives: Multi-institutional support for climate resilience","docAbstract":"<p><span>Federal investments by U.S. agencies to enhance climate resilience at regional scales grew over the past decade (2010s). To maximize efficiency and effectiveness in serving multiple sectors and scales, it has become critical to leverage existing agency-specific research, infrastructure, and capacity while avoiding redundancy. We discuss lessons learned from a multi-institutional “regional climate response collaborative” that comprises three different federally-supported climate service entities in the Rocky Mountain west and northern plains region. These lessons include leveraging different strengths of each partner, creating deliberate mechanisms to increase cross-entity communication and joint ownership of projects, and placing a common priority on stakeholder-relevant research and outcomes. We share the conditions that fostered successful collaboration, which can be transferred elsewhere, and suggest mechanisms for overcoming potential barriers. Synergies are essential for producing actionable research that informs climate-related decisions for stakeholders and ultimately enhances climate resilience at regional scales.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-17-0183.1","usgsCitation":"Averyt, K., Derner, J.D., Dilling, L., Guerrero, R., Joyce, L.A., McNeeley, S., McNie, E., Morisette, J.T., Ojima, D., O'Malley, R., Peck, D., Ray, A.J., Reeves, M., and Travis, W., 2018, Regional climate response collaboratives: Multi-institutional support for climate resilience: Bulletin of the American Meteorological Society, v. 99, p. 891-898, https://doi.org/10.1175/BAMS-D-17-0183.1.","productDescription":"8 p.","startPage":"891","endPage":"898","ipdsId":"IP-088689","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":468968,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholar.colorado.edu/downloads/cn69m5095","text":"External Repository"},{"id":352143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee714e4b0da30c1bfc0e8","contributors":{"authors":[{"text":"Averyt, Kristen","contributorId":63331,"corporation":false,"usgs":true,"family":"Averyt","given":"Kristen","email":"","affiliations":[],"preferred":false,"id":729880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Derner, Justin D.","contributorId":169766,"corporation":false,"usgs":false,"family":"Derner","given":"Justin","email":"","middleInitial":"D.","affiliations":[{"id":25583,"text":"USDA-ARS Central Plains Experimental Range, Cheyenne, WY 82009","active":true,"usgs":false}],"preferred":false,"id":729881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dilling, Lisa","contributorId":202838,"corporation":false,"usgs":false,"family":"Dilling","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":729882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guerrero, Rafael","contributorId":202839,"corporation":false,"usgs":false,"family":"Guerrero","given":"Rafael","email":"","affiliations":[],"preferred":false,"id":729883,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joyce, Linda A.","contributorId":106769,"corporation":false,"usgs":true,"family":"Joyce","given":"Linda","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":729884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McNeeley, Shannon","contributorId":202840,"corporation":false,"usgs":false,"family":"McNeeley","given":"Shannon","affiliations":[],"preferred":false,"id":729885,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McNie, Elizabeth","contributorId":202841,"corporation":false,"usgs":false,"family":"McNie","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":729886,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":729887,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ojima, Dennis","contributorId":36166,"corporation":false,"usgs":true,"family":"Ojima","given":"Dennis","affiliations":[],"preferred":false,"id":729888,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"O'Malley, Robin romalley@usgs.gov","contributorId":3954,"corporation":false,"usgs":true,"family":"O'Malley","given":"Robin","email":"romalley@usgs.gov","affiliations":[],"preferred":true,"id":729889,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Peck, Dannele","contributorId":202842,"corporation":false,"usgs":false,"family":"Peck","given":"Dannele","affiliations":[],"preferred":false,"id":729890,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ray, Andrea J.","contributorId":196935,"corporation":false,"usgs":false,"family":"Ray","given":"Andrea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":729891,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Reeves, Matt","contributorId":202843,"corporation":false,"usgs":false,"family":"Reeves","given":"Matt","affiliations":[],"preferred":false,"id":729892,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Travis, William","contributorId":202844,"corporation":false,"usgs":false,"family":"Travis","given":"William","affiliations":[],"preferred":false,"id":729893,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70196797,"text":"70196797 - 2018 - AMModels: An R package for storing models, data, and metadata to facilitate adaptive management","interactions":[],"lastModifiedDate":"2018-05-01T15:52:43","indexId":"70196797","displayToPublicDate":"2018-02-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"AMModels: An R package for storing models, data, and metadata to facilitate adaptive management","docAbstract":"<p><span>Agencies are increasingly called upon to implement their natural resource management programs within an adaptive management (AM) framework. This article provides the background and motivation for the R package,&nbsp;</span><strong>AMModels</strong><span>. AMModels was developed under R version 3.2.2. The overall goal of<span>&nbsp;</span></span><strong>AMModels</strong><span><span>&nbsp;</span>is simple: To codify knowledge in the form of models and to store it, along with models generated from numerous analyses and datasets that may come our way, so that it can be used or recalled in the future.<span>&nbsp;</span></span><strong>AMModels</strong><span><span>&nbsp;</span>facilitates this process by storing all models and datasets in a single object that can be saved to an .RData file and routinely augmented to track changes in knowledge through time. Through this process,<span>&nbsp;</span></span><strong>AMModels</strong><span><span>&nbsp;</span>allows the capture, development, sharing, and use of knowledge that may help organizations achieve their mission. While<span>&nbsp;</span></span><strong>AMModels</strong><span><span>&nbsp;</span>was designed to facilitate adaptive management, its utility is far more general. Many R packages exist for creating and summarizing models, but to our knowledge,<span>&nbsp;</span></span><strong>AMModels</strong><span><span>&nbsp;</span>is the only package dedicated not to the mechanics of analysis but to organizing analysis inputs, analysis outputs, and preserving descriptive metadata. We anticipate that this package will assist users hoping to preserve the key elements of an analysis so they may be more confidently revisited at a later date.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0188966","usgsCitation":"Donovan, T.M., and Katz, J., 2018, AMModels: An R package for storing models, data, and metadata to facilitate adaptive management: PLoS ONE, v. 13, no. 2, p. 1-57, https://doi.org/10.1371/journal.pone.0188966.","productDescription":"e0188966; 57","startPage":"1","endPage":"57","ipdsId":"IP-081371","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461013,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0188966","text":"Publisher Index Page"},{"id":353899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-28","publicationStatus":"PW","scienceBaseUri":"5afee714e4b0da30c1bfc0e4","contributors":{"authors":[{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katz, Jonathan","contributorId":8370,"corporation":false,"usgs":true,"family":"Katz","given":"Jonathan","affiliations":[],"preferred":false,"id":734478,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194704,"text":"sir20175156 - 2018 - Flood-inundation maps for Cedar Creek at 18th Street at Auburn, Indiana","interactions":[],"lastModifiedDate":"2018-02-27T16:36:54","indexId":"sir20175156","displayToPublicDate":"2018-02-27T12:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5156","title":"Flood-inundation maps for Cedar Creek at 18th Street at Auburn, Indiana","docAbstract":"<p>Digital flood-inundation maps for a 1.9-mile reach of Cedar Creek at Auburn, Indiana (Ind.), from the First Street bridge, downstream to the streamgage at 18th Street, then ending approximately 1,100 feet (ft) downstream of the Baltimore and Ohio railroad, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science web site at <a href=\"https://water.usgs.gov/osw/flood_inundation/\" data-mce-href=\"https://water.usgs.gov/osw/flood_inundation/\">https://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on Cedar Creek at 18th Street at Auburn, Ind. (station number 04179520). Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at <a href=\"https://waterdata.usgs.gov/\" data-mce-href=\"https://waterdata.usgs.gov/\">https://waterdata.usgs.gov/</a> or the National Weather Service Advanced Hydrologic Prediction Service at <a href=\"http://water.weather.gov/ahps/\" data-mce-href=\"http://water.weather.gov/ahps/\">http://water.weather.gov/ahps/</a>, although forecasts of flood hydrographs are not available at this site (ABBI3).</p><p>Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the most current stage-discharge relation at the Cedar Creek at 18th Street at Auburn, Ind. streamgage and the documented high-water marks from the flood of March 11, 2009. The calibrated hydraulic model was then used to compute seven water-surface profiles for flood stages referenced to the streamgage datum and ranging from 7 ft, or near bankfull, to 13 ft, in 1-foot increments. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging [lidar] data having a 0.98-ft vertical accuracy and 4.9-ft horizontal resolution) to delineate the area flooded at each water level.</p><p>The availability of these maps, along with internet information regarding current stage from the USGS streamgage at Cedar Creek at 18th Street at Auburn, Ind., and stream information from the National Weather Service, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for postflood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175156","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., 2018, Flood-inundation maps for Cedar Creek at 18th Street at Auburn, Indiana: U.S. Geological Survey Scientific Investigations Report 2017–5156, 10 p., https://doi.org/10.3133/sir20175156.","productDescription":"Report: iv, 10 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087585","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":349964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5156/coverthb.jpg"},{"id":351891,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5156/sir20175156.pdf","text":"Report","size":"6.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5156"},{"id":351892,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72806GR","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial Datasets and Surface-Water Hydraulic Model for Cedar Creek at Auburn, Indiana, Flood-inundation Study "}],"country":"United States","state":"Indiana","city":"Auburn","otherGeospatial":"Cedar Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.0667,\n              41.34582213380196\n            ],\n            [\n              -85.0417,\n              41.34582213380196\n            ],\n            [\n              -85.0417,\n              41.37057703323999\n            ],\n            [\n              -85.0667,\n              41.37057703323999\n            ],\n            [\n              -85.0667,\n              41.34582213380196\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_in@usgs.gov\" data-mce-href=\"mailto:dc_in@usgs.gov\">Director</a>, <a href=\"https://in.water.usgs.gov/\" data-mce-href=\"https://in.water.usgs.gov/\">Ohio-Kentucky-Indiana Water Science Center</a><br> U.S. Geological Survey<br> 5957 Lakeside Boulevard<br> Indianapolis, IN 46278-1996</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;</li><li>Abstract&nbsp;</li><li>Introduction</li><li>Creation of Flood-Inundation Map Library</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2018-02-27","noUsgsAuthors":false,"publicationDate":"2018-02-27","publicationStatus":"PW","scienceBaseUri":"5afee714e4b0da30c1bfc0f8","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724947,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}