Although surface freshwater comprises < 0.01% of the total water volume of earth, freshwater inland capture fisheries and aquaculture represent 40% of the global reported finfish harvest. While the social, economic, and ecological importance of inland fish and fisheries is difficult to overstate, they are often undervalued and underappreciated. Accurate information about these highly dispersed fisheries is inherently difficult to acquire, often unreported, and not collected in a standardized format globally. A standardized river fishery database is needed for managing aquatic systems as well as for defining relevant development policies. Here, we describe our methodology to search, identify, and describe available river fisheries information to create a harmonized global database of river fisheries harvest. This database will provide the first global database of spatially and temporally explicit river fisheries data. The database can be used to identify locations, hotspots of data collection, and gaps in existing knowledge and will be especially important to inform studies and management at larger spatial scales (i.e., watershed, regional, or global scales). This database will also be critical for developing fish biomass models for rivers, which can provide managers with information critical for decision-making, such as improved valuation methods for river fish and fisheries.
This systematic map protocol describes the methodology to search, identify, and describe available information on river fish and fisheries across the globe. We define river fisheries as “both capture and aquaculture of river finfish species for food, income, or recreation”. River fish species are those finfish that live part, or all of their lives in rivers. The searches will be conducted for the period from 1950 to present using bibliographic databases and grey literature sources. To identify relevant evidence, pre-defined inclusion and exclusion criteria will be used to screen articles at title, abstract, and full text. A searchable database containing extracted meta-data from relevant included studies will be developed and presented as a geodatabase. The final systematic map will consist of a descriptive narrative report of the distribution and content of river fish literature including a geodatabase of available information.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13750-017-0107-x","usgsCitation":"Romulo, C., Basher, Z., Lynch, A., Kao, Y., and Taylor, W., 2017, Assessing the global distribution of river fisheries harvest: A systematic map protocol: Environmental Evidence, v. 6, 29, 10 p., https://doi.org/10.1186/s13750-017-0107-x.","productDescription":"29, 10 p.","ipdsId":"IP-085655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":461325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-017-0107-x","text":"Publisher Index Page"},{"id":369924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2017-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Romulo, Chelsie 0000-0003-1612-1969","orcid":"https://orcid.org/0000-0003-1612-1969","contributorId":221032,"corporation":false,"usgs":false,"family":"Romulo","given":"Chelsie","email":"","affiliations":[],"preferred":false,"id":776684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Basher, Zeenatul 0000-0002-6439-8324 zbasher@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-8324","contributorId":48118,"corporation":false,"usgs":true,"family":"Basher","given":"Zeenatul","email":"zbasher@usgs.gov","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":776685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":776686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kao, Yu-Chun 0000-0001-5552-909X ykao@usgs.gov","orcid":"https://orcid.org/0000-0001-5552-909X","contributorId":192240,"corporation":false,"usgs":true,"family":"Kao","given":"Yu-Chun","email":"ykao@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":776687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":776688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228730,"text":"70228730 - 2017 - Paleoceanographic perspectives on Arctic Ocean change","interactions":[],"lastModifiedDate":"2022-02-17T17:45:40.76836","indexId":"70228730","displayToPublicDate":"2017-12-04T11:42:07","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7564,"text":"Arctic Report Card","active":true,"publicationSubtype":{"id":1}},"title":"Paleoceanographic perspectives on Arctic Ocean change","docAbstract":"The Arctic Ocean is presently experiencing changes in ocean temperature and sea ice extent that are unprecedented in the observational time period (satellite observations: 1979-Present). To provide context for the current changes, scientists turn to paleo records of past climate to document and study natural variability in the Arctic system. Paleoceanographic records that extend limited Arctic instrumental measurements are central to improving our understanding of sea ice dynamics and ocean warming and for enhancing the predictive capability of models. By coupling paleoceanographic records with modern observations, scientists can also contextualize the rate and magnitude of modern change with the deep past.
","language":"English","publisher":"NOAA","usgsCitation":"Osborne, E., Cronin, T.M., and Farmer, J., 2017, Paleoceanographic perspectives on Arctic Ocean change: Arctic Report Card, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-090214","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":396121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396081,"type":{"id":15,"text":"Index Page"},"url":"https://www.arctic.noaa.gov/Report-Card/Report-Card-2017/ArtMID/7798/ArticleID/690/Paleoceanographic-Perspectives-on-Arctic-Ocean-Change"}],"otherGeospatial":"Arctic Ocean","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Osborne, Emily","contributorId":279621,"corporation":false,"usgs":false,"family":"Osborne","given":"Emily","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":835225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":835226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farmer, Jesse","contributorId":279623,"corporation":false,"usgs":false,"family":"Farmer","given":"Jesse","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":835227,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179694,"text":"70179694 - 2017 - New method to integrate remotely sensed hydrothermal alteration mapping into quantitative mineral resource assessments","interactions":[],"lastModifiedDate":"2019-03-27T09:58:49","indexId":"70179694","displayToPublicDate":"2017-12-04T09:57:04","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"New method to integrate remotely sensed hydrothermal alteration mapping into quantitative mineral resource assessments","docAbstract":"The Sand Roller (Percopsis transmontana), has not been abundant in the Snake River since it was first found in the system in the 1950s, but its population has apparently increased in recent years. As a result, we initiated a study to better understand its ecology in habitats of Lower Granite Reservoir. From November 2014 to October 2015, Sand Rollers were present along shorelines, with peak abundance being observed during spring months. Logistic regression analyses showed that Sand Rollers were more likely to be present in shoreline habitats at temperatures ≤18.4°C. Fish were found over a range of substrates, with the lowest odds of fish presence being associated with riprap, which is common in hydropower reservoirs. From length-frequency analysis, we suggest that Sand Roller spawning occurs primarily in May and early June. Assessment of Sand Roller diets found dipteran (chironomid) larvae and pupae were the most important prey consumed by all sizes of Sand Rollers, but Opossum Shrimp (Neomysis mercedis) were also prominent in diets of larger fish in shoreline and offshore habitats. At a time when the populations of so many native species are in decline, the increase of the Sand Roller population in the lower Snake River represents a positive, yet curious occurrence.
","language":"English","publisher":"Society for Northwestern Vertebrate Biology","doi":"10.1898/NWN16-25.1","usgsCitation":"Tiffan, K.F., Erhardt, J.M., Rhodes, T.N., and Hemingway, R.J., 2017, Ecology of the Sand Roller (Percopsis transmontana) in a lower Snake River Reservoir, Washington: Northwestern Naturalist, v. 98, no. 3, p. 203-214, https://doi.org/10.1898/NWN16-25.1.","productDescription":"12 p.","startPage":"203","endPage":"214","ipdsId":"IP-081960","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":349875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lower Granite Reservoir, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.40126871383858,\n 46.62272091709707\n ],\n [\n -117.40126871383858,\n 46.47086988468908\n ],\n [\n -117.17172290952743,\n 46.47086988468908\n ],\n [\n -117.17172290952743,\n 46.62272091709707\n ],\n [\n -117.40126871383858,\n 46.62272091709707\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"98","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf5e4b06e28e9c22a06","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":724522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erhardt, John M. 0000-0002-5170-285X jerhardt@usgs.gov","orcid":"https://orcid.org/0000-0002-5170-285X","contributorId":5380,"corporation":false,"usgs":true,"family":"Erhardt","given":"John","email":"jerhardt@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":724523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhodes, Tobyn N. 0000-0002-4023-4827 trhodes@usgs.gov","orcid":"https://orcid.org/0000-0002-4023-4827","contributorId":140890,"corporation":false,"usgs":true,"family":"Rhodes","given":"Tobyn","email":"trhodes@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":724524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemingway, Rulon J. 0000-0001-8143-0325 rhemingway@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-0325","contributorId":194697,"corporation":false,"usgs":true,"family":"Hemingway","given":"Rulon","email":"rhemingway@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":724525,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194533,"text":"70194533 - 2017 - A pesticide paradox: Fungicides indirectly increase fungal infections","interactions":[],"lastModifiedDate":"2017-12-04T11:01:24","indexId":"70194533","displayToPublicDate":"2017-12-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A pesticide paradox: Fungicides indirectly increase fungal infections","docAbstract":"There are many examples where the use of chemicals have had profound unintended consequences, such as fertilizers reducing crop yields (paradox of enrichment) and insecticides increasing insect pests (by reducing natural biocontrol). Recently, the application of agrochemicals, such as agricultural disinfectants and fungicides, has been explored as an approach to curb the pathogenic fungus, Batrachochytrium dendrobatidis (Bd), which is associated with worldwide amphibian declines. However, the long-term, net effects of early-life exposure to these chemicals on amphibian disease risk have not been thoroughly investigated. Using a combination of laboratory experiments and analysis of data from the literature, we explored the effects of fungicide exposure on Bd infections in two frog species. Extremely low concentrations of the fungicides azoxystrobin, chlorothalonil, and mancozeb were directly toxic to Bd in culture. However, estimated environmental concentrations of the fungicides did not reduce Bd on Cuban tree frog (Osteopilus septentrionalis) tadpoles exposed simultaneously to any of these fungicides and Bd, and fungicide exposure actually increased Bd-induced mortality. Additionally, exposure to any of these fungicides as tadpoles resulted in higher Bd abundance and greater Bd-induced mortality when challenged with Bd post-metamorphosis, an average of 71 d after their last fungicide exposure. Analysis of data from the literature revealed that previous exposure to the fungicide itraconazole, which is commonly used to clear Bd infections, made the critically endangered booroolong frog (Litoria booroolongensis) more susceptible to Bd. Finally, a field survey revealed that Bd prevalence was positively associated with concentrations of fungicides in ponds. Although fungicides show promise for controlling Bd, these results suggest that, if fungicides do not completely eliminate Bd or if Bd recolonizes, exposure to fungicides has the potential to do more harm than good. To ensure that fungicide applications have the intended consequence of curbing amphibian declines, researchers must identify which fungicides do not compromise the pathogen resistance mechanisms of amphibians.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1607","usgsCitation":"Rohr, J.R., Brown, J., Battaglin, W.A., McMahon, T.A., and Reylea, R.A., 2017, A pesticide paradox: Fungicides indirectly increase fungal infections: Ecological Applications, v. 27, no. 8, p. 2290-2302, https://doi.org/10.1002/eap.1607.","productDescription":"13 p.","startPage":"2290","endPage":"2302","ipdsId":"IP-079804","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":469247,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5711531","text":"External Repository"},{"id":349651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-29","publicationStatus":"PW","scienceBaseUri":"5a60faf5e4b06e28e9c22a0a","contributors":{"authors":[{"text":"Rohr, Jason R.","contributorId":18502,"corporation":false,"usgs":true,"family":"Rohr","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jenise","contributorId":201101,"corporation":false,"usgs":false,"family":"Brown","given":"Jenise","email":"","affiliations":[],"preferred":false,"id":724346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMahon, Teagan A.","contributorId":201102,"corporation":false,"usgs":false,"family":"McMahon","given":"Teagan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reylea, Rick A.","contributorId":201103,"corporation":false,"usgs":false,"family":"Reylea","given":"Rick","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724348,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199154,"text":"70199154 - 2017 - Evaluating methods to assess the body condition of female polar bears","interactions":[],"lastModifiedDate":"2018-09-07T15:40:32","indexId":"70199154","displayToPublicDate":"2017-12-01T15:39:17","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating methods to assess the body condition of female polar bears","docAbstract":"An animal's body condition provides insight into its health, foraging success, and overall fitness. Measures of body composition including proportional fat content are useful indicators of condition. Isotopic dilution is a reliable non-destructive method for estimating the body composition of live mammals, but can require prolonged handling times. Alternatively, bioelectrical impedance analysis (BIA) has promise as a quick method for estimating the body composition of live mammals, but measurements can potentially be affected by field conditions. Body condition indices (BCI) and energy density models can also be used to assess body condition based on morphological measurements, but may not reliably reflect an animal's energy stores. Here we evaluate BIA, BCI, and an energy density model in measuring the energy stores of female polar bears (Ursus maritimus). We examine the relationship between total body fat (TBF) derived from isotopic dilution to these alternative methods for 9 female polar bears from 14 captures on the sea ice of the southern Beaufort Sea in April 2014–2016. An energy density model, BCI, and BIA-derived measures of TBF were poor predictors of TBF derived from isotopic dilution. We suggest energy density, BCI, and BIA may not be predictive of an animal's body fat at fine scales (e.g., among individuals within the same sex, reproductive status, and season). In particular, BIA should provide similar measures of body composition as isotopic dilution, but it failed to reliably measure TBF of individual bears. These limitations in the precision of body condition measures should be considered when planning future studies.
","language":"English","publisher":"International Association for Bear Research and Management","doi":"10.2192/URSU-D-16-00029.1","usgsCitation":"Pagano, A.M., Rode, K.D., and Atkinson, S.N., 2017, Evaluating methods to assess the body condition of female polar bears: Ursus, v. 28, no. 2, p. 171-181, https://doi.org/10.2192/URSU-D-16-00029.1.","productDescription":"11 p.","startPage":"171","endPage":"181","ipdsId":"IP-080202","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438129,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZP447H","text":"USGS data release","linkHelpText":"Bioelectrical Impedance, Deuterium Dilution, Body Mass, and Morphological Measures of Southern Beaufort Sea Female Polar Bears, Spring 2014-2016"},{"id":357126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a365e4b0702d0e843042","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":744396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":744398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, Stephen N.","contributorId":12365,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":744399,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203222,"text":"70203222 - 2017 - Simulated juvenile salmon growth and phenology respond to altered thermal regimes and stream network shape","interactions":[],"lastModifiedDate":"2019-04-29T15:40:06","indexId":"70203222","displayToPublicDate":"2017-12-01T15:31:47","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Simulated juvenile salmon growth and phenology respond to altered thermal regimes and stream network shape","docAbstract":"It is generally accepted that climate change will stress coldwater species such as Pacific salmon. However, it is unclear what aspect of altered thermal regimes (e.g., warmer winters, springs, summers, or increased variability) will have the greatest effect, and what role the spatial properties of river networks play. Thermally diverse habitats may afford protection from climate change by providing opportunities for aquatic organisms to find and use habitats with optimal conditions for growth. We hypothesized that climate‐altered thermal regimes will change growth and timing of life history events such as emergence or migration but that changes will be moderated in topologically complex stream networks where opportunities to thermoregulate are more readily available to mobile animals. Because climate change effects on populations are spatially variable and contingent upon physiological optima, assessments of risk must take a spatially explicit approach. We developed a spatially structured individual‐based model for Chinook Salmon (Oncorhynchus tshawytscha) in which movement decisions and growth were governed by water temperature and conspecific density. We evaluated growth and phenology (timing of egg emergence and smolting) under a variety of thermal regimes (each having a different minimum, rate of warming, maximum, and variability) and in three network shapes of increasing spatial complexity. Across networks, fish generally grew faster and were capable of smolting earlier in warmer scenarios where water temperatures experienced by fish were closer to optimal; however, growth decreased for some fish. We found that salmon size and smolt date responded more strongly to warmer springs and summers than to warmer winters or increased variability. Fish in the least complex network grew faster and were ready to smolt earlier than fish in the more spatially complex network shapes in the contemporary thermal regime; patterns were similar but less clear in warmer thermal regimes. Our results demonstrate that network topology may influence how fish respond to thermal landscapes, and this information will be useful for incorporating a spatiotemporal context into conservation decisions that promote long‐term viability of salmon in a changing climate.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2052","usgsCitation":"Fullerton, A.H., Burke, B.J., Lawler, J.J., Torgersen, C.E., Ebersole, J.L., and Leibowitz, S.G., 2017, Simulated juvenile salmon growth and phenology respond to altered thermal regimes and stream network shape: Ecosphere, v. 8, no. 12, Article e02052: 23 p., https://doi.org/10.1002/ecs2.2052.","productDescription":"Article e02052: 23 p.","ipdsId":"IP-080351","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469248,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2052","text":"Publisher Index Page"},{"id":363346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2017-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":761757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burke, Brian J.","contributorId":196656,"corporation":false,"usgs":false,"family":"Burke","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":761760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":761761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leibowitz, Scott G.","contributorId":156432,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":761762,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70207055,"text":"70207055 - 2017 - Balancing research and service to decision makers","interactions":[],"lastModifiedDate":"2019-12-04T15:16:23","indexId":"70207055","displayToPublicDate":"2017-12-01T15:13:32","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Balancing research and service to decision makers","docAbstract":"No abstract available.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1739","usgsCitation":"Littell, J.S., Terando, A.J., and Morelli, T.L., 2017, Balancing research and service to decision makers: Frontiers in Ecology and the Environment, v. 15, no. 10, p. 598-598, https://doi.org/10.1002/fee.1739.","productDescription":"1 p.","startPage":"598","endPage":"598","ipdsId":"IP-092066","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":469249,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1739","text":"Publisher Index Page"},{"id":369915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":776652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":776653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":776654,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198663,"text":"70198663 - 2017 - The efficacy of combined educational and site management actions in reducing off-trail hiking in an urban-proximate protected area","interactions":[],"lastModifiedDate":"2021-05-12T13:45:04.756535","indexId":"70198663","displayToPublicDate":"2017-12-01T14:07:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"The efficacy of combined educational and site management actions in reducing off-trail hiking in an urban-proximate protected area","docAbstract":"Park and protected area managers are tasked with protecting natural environments, a particularly daunting challenge in heavily visited urban-proximate areas where flora and fauna are already stressed by external threats. In this study, an adaptive management approach was taken to reduce extensive off-trail hiking along a popular trail through an ecologically diverse and significant area in the Chesapeake and Ohio National Historical Park near Washington DC. Substantial amounts of off-trail hiking there had created an extensive 16.1 km network of informal (visitor-created) trails on a 39 ha island in the Potomac Gorge. A research design with additive treatments integrating educational and site management actions was applied and evaluated using self-reported behavior from an on-site visitor survey and unobtrusive observations of off-trail hiking behavior at two locations along the trail. Study treatments included: 1) trailhead educational signs developed using attribution theory and injunctive-proscriptive wording, 2) symbolic “no hiking” prompter signs attached to logs placed across all informal trails, 3) placement of concealing leaf litter and small branches along initial sections of informal trails, 4) restoration work on selected trails with low fencing, and 5) contact with a trail steward to personally communicate the trailhead sign information. The final, most comprehensive treatment reduced visitor-reported intentional off-trail hiking from 70.3% to 43.0%. Direct observations documented reduction in off-trail hiking from 25.9% to 2.0%. The educational message and site management actions both contributed to the decline in off-trail travel and the two evaluation methods enhanced our ability to describe the efficacy of the different treatments in reducing off-trail travel.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2017.06.073","usgsCitation":"Hockett, K.S., Marion, J.L., and Leung, Y., 2017, The efficacy of combined educational and site management actions in reducing off-trail hiking in an urban-proximate protected area: Journal of Environmental Management, v. 203, no. 1, p. 17-28, https://doi.org/10.1016/j.jenvman.2017.06.073.","productDescription":"12 p.","startPage":"17","endPage":"28","ipdsId":"IP-056082","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":356445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Bear Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.25,\n 38.97635903515612\n ],\n [\n -77.22899436950684,\n 38.97635903515612\n ],\n [\n -77.22899436950684,\n 38.9958\n ],\n [\n -77.25,\n 38.9958\n ],\n [\n -77.25,\n 38.97635903515612\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"203","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a365e4b0702d0e843044","contributors":{"authors":[{"text":"Hockett, Karen S.","contributorId":207012,"corporation":false,"usgs":false,"family":"Hockett","given":"Karen","email":"","middleInitial":"S.","affiliations":[{"id":37429,"text":"Yosemite National Park, Division of Resources Management & Science, 5083 Foresta Rd., El Portal, CA 95318, USA","active":true,"usgs":false}],"preferred":false,"id":742390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":742389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leung, Yu-Fai","contributorId":197451,"corporation":false,"usgs":false,"family":"Leung","given":"Yu-Fai","email":"","affiliations":[],"preferred":false,"id":742391,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200755,"text":"70200755 - 2017 - Can thermoluminescence be used to determine soil heating from a wildfire?","interactions":[],"lastModifiedDate":"2018-10-31T13:48:47","indexId":"70200755","displayToPublicDate":"2017-12-01T13:48:40","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3222,"text":"Radiation Measurements","active":true,"publicationSubtype":{"id":10}},"title":"Can thermoluminescence be used to determine soil heating from a wildfire?","docAbstract":"The Silverado wildfire occurred from September 12 to 20, 2014, burning 960 acres in Orange County, California. Soil samples from within the burn area were obtained and the thermoluminescence (TL) properties of those samples were compared against a control sample to understand wildfire heating. We performed a series of experiments investigating the degree to which the control differed from the wildfire soil samples. This work showed that soil heated by a wildfire had a distinctly different glow curve shape than the unburned soil sample. Moreover, it was possible to see changes in the TL signal as a function of soil depth in wildfire-heated samples. Our experiments suggest that minimal soil heating occurred below approximately 10 cm. Estimates of wildfire temperatures, however, were nuanced.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.radmeas.2017.09.002","usgsCitation":"Rengers, F.K., Pagonis, V., and Mahan, S.A., 2017, Can thermoluminescence be used to determine soil heating from a wildfire?: Radiation Measurements, v. 107, p. 119-127, https://doi.org/10.1016/j.radmeas.2017.09.002.","productDescription":"9 p.","startPage":"119","endPage":"127","ipdsId":"IP-088742","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.radmeas.2017.09.002","text":"Publisher Index Page"},{"id":359032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.5917,\n 33.75\n ],\n [\n -117.5833,\n 33.75\n ],\n [\n -117.5833,\n 33.7667\n ],\n [\n -117.5917,\n 33.7667\n ],\n [\n -117.5917,\n 33.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10aaa6e4b034bf6a7e5aae","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pagonis, Vasilis 0000-0002-4852-9312","orcid":"https://orcid.org/0000-0002-4852-9312","contributorId":210295,"corporation":false,"usgs":false,"family":"Pagonis","given":"Vasilis","email":"","affiliations":[{"id":38099,"text":"McDaniel College","active":true,"usgs":false}],"preferred":false,"id":750389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":750390,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202035,"text":"70202035 - 2017 - 3D Pressure‐limited approach to model and estimate CO2 injection and storage capacity: saline Mount Simon Formation","interactions":[],"lastModifiedDate":"2019-02-07T13:49:56","indexId":"70202035","displayToPublicDate":"2017-12-01T13:47:19","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5800,"text":"Greenhouse Gases: Science and Technology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"3D Pressure‐limited approach to model and estimate CO2 injection and storage capacity: saline Mount Simon Formation","title":"3D Pressure‐limited approach to model and estimate CO2 injection and storage capacity: saline Mount Simon Formation","docAbstract":"To estimate the carbon dioxide (CO2) injection and storage capacity of saline formations, we used Tough2‐ECO2N simulation software to develop a pressure‐limited (dynamic) simulation approach based on applying three‐dimensional (3D) numerical simulation only on the effective injection area (Aeff) surrounding each injection well. A statistical analysis was performed to account for existing reservoir heterogeneity and property variations. The accuracy of the model simulation results (such as CO2 plume extension and induced injection well bottomhole pressure values) were tested and verified against the data obtained from the Decatur CO2 injection study of the Mount Simon Formation. Next, we designed a full‐field CO2 injection pattern by populating the core sections of this formation with a series of the simulated effective injection areas such that each simulated Aeff acts as a closed domain. The results of this analysis were used to estimate the optimum number and location of the required CO2 injection wells, along with the dynamic annual CO2 injection rate and overall pressure‐limited storage capacity of this formation. This approach enabled us to model separate CO2 injection activities independently at different sections of the same saline formation and to model and simulate faults and natural barriers by considering them as boundary conditions for each simulated Aeff without constructing full‐field models. Using this approach, a series of modeled Aeff with relevant properties may be redesigned to model any other saline formation with a similar structure.
","language":"English","publisher":"Wiley","doi":"10.1002/ghg.1701","usgsCitation":"Jahediesfanjani, H., Warwick, P., and Anderson, S.T., 2017, 3D Pressure‐limited approach to model and estimate CO2 injection and storage capacity: saline Mount Simon Formation: Greenhouse Gases: Science and Technology, v. 7, no. 6, p. 1080-1096, https://doi.org/10.1002/ghg.1701.","productDescription":"17 p.","startPage":"1080","endPage":"1096","ipdsId":"IP-084315","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469251,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ghg.1701","text":"Publisher Index Page"},{"id":361078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mount Simon Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91,\n 37\n ],\n [\n -84,\n 37\n ],\n [\n -84,\n 41\n ],\n [\n -91,\n 41\n ],\n [\n -91,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"6","noUsgsAuthors":false,"publicationDate":"2017-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166 hjahediesfanjani@usgs.gov","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":193397,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","email":"hjahediesfanjani@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":756795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":207248,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198471,"text":"70198471 - 2017 - Tectonic evolution of the Central Andean Plateau and implications for the growth of plateaus","interactions":[],"lastModifiedDate":"2018-08-06T12:47:21","indexId":"70198471","displayToPublicDate":"2017-12-01T12:47:07","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic evolution of the Central Andean Plateau and implications for the growth of plateaus","docAbstract":"Current end-member models for the geodynamic evolution of orogenic plateaus predict (a) slow and steady rise during crustal shortening and ablative subduction (i.e., continuous removal) of the lower lithosphere or (b) rapid surface uplift following shortening, which is associated with punctuated removal of dense lower lithosphere and/or lower crustal flow. This review integrates results from recent studies of the modern lithospheric structure, geologic evolution, and surface uplift history of the Central Andean Plateau to evaluate the geodynamic processes involved in forming it. Comparison of the timing, magnitude, and distribution of shortening and surface uplift, in combination with other geologic evidence, highlights the pulsed nature of plateau growth. We discuss specific regions and time periods that show evidence for end-member geodynamic processes, including middle–late Miocene surface uplift of the southern Eastern Cordillera and Altiplano associated with shortening and ablative subduction, latest Oligocene–early Miocene and late Miocene–early Pliocene punctuated removal of dense lower lithosphere in the Eastern Cordillera and Altiplano, and late Miocene–early Pliocene crustal flow in the central and northern Altiplano.
","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-063016-020612","usgsCitation":"Garzione, C.N., McQuarrie, N., Perez, N.D., Ehlers, T.A., Beck, S.L., Kar, N., Eichelberger, N., Chapman, A.D., Ward, K.M., Ducea, M.N., Lease, R.O., Poulsen, C.J., Wagner, L.S., Saylor, J.E., Zandt, G., and Horton, B.K., 2017, Tectonic evolution of the Central Andean Plateau and implications for the growth of plateaus: Annual Review of Earth and Planetary Sciences, v. 45, p. 529-559, https://doi.org/10.1146/annurev-earth-063016-020612.","productDescription":"31 p.","startPage":"529","endPage":"559","ipdsId":"IP-080064","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":469252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-earth-063016-020612","text":"Publisher Index 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Sea-level and Storm Impacts on Estuarine Environments and Shorelines (SSIEES) project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam bathymetry survey within the estuarine, open-bay, and tidal creek environments of Grand Bay, Alabama-Mississippi, from May to June 2015. The goal of the SSIEES project is to assess the physical controls of sediment and material exchange between wetlands and estuarine environments along the northern Gulf of Mexico, specifically Grand Bay, Alabama-Mississippi; Vermilion Bay, Louisiana; and, along the east coast, within Chincoteague Bay, Virginia-Maryland. The data described in this report provide baseline bathymetric information for future research investigating wetland-marsh evolution, sediment transport, erosion, recent and long-term geomorphic change, and can also support the modeling of changes in response to restoration and storm impacts. The survey area encompasses more than 40 square kilometers of Grand Bay’s waters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1070","usgsCitation":"DeWitt, N.T., Stalk, C.A., Smith, C.G., Locker, S.D., Fredericks, J.J., McCloskey, T.A., and Wheaton, C.J., 2017, Single-beam bathymetry data collected in 2015 from Grand Bay, Alabama-Mississippi: U.S. Geological Survey Data Series 1070, https://doi.org/10.3133/ds1070.","productDescription":"HTML Document; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081056","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":349002,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1070","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1070"},{"id":349004,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7NP22M2","text":"USGS data release","description":"USGS data release","linkHelpText":"Single-Beam Bathymetry Data Collected in 2015 from Grand Bay, Mississippi/Alabama"},{"id":349001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1070/coverthb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"Grand Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.41487884521484,\n 30.328434677542585\n ],\n [\n -88.30467224121092,\n 30.328434677542585\n ],\n [\n -88.30467224121092,\n 30.419960083267238\n ],\n [\n -88.41487884521484,\n 30.419960083267238\n ],\n [\n -88.41487884521484,\n 30.328434677542585\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
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Climatic flux together with anthropogenic changes in land use and land cover pose major threats to wildlife, but our understanding of their combined impacts is limited. In arid southwestern North America, ferruginous pygmy-owls (Glaucidium brasilianum) are of major conservation concern due to marked declines in abundance linked to changes in land use and land cover during the past century. We reassessed abundance trends of pygmy-owls in northern Mexico across 17 years (2000-2016), which included data gathered over four additional years since inferences were last reported. We also assessed spatiotemporal trends in territory occupancy (n = 151 territories) across a much larger area that spanned 14 watershed regions in northern Mexico and adjacent Arizona over 16 years (2001-2016). Finally, we evaluated the influence of temperature, precipitation, land-use and land-cover change, spatial variation in local habitat quality, and interactions among these factors on occupancy dynamics. Large increases in abundance in 2015 and 2016 eliminated evidence of population declines that was described recently (e.g., Flesch 2014a) based on two modeling approaches. Moreover, there was little evidence of systematic temporal declines in territory occupancy across the broader bi-national study area, or for population units in Mexico and the adjacent U.S. Instead, occupancy dynamics varied at smaller spatial scales among watershed regions. We found that subpopulations in six regions declined or marginally declined across time, including two in the U.S. that declined to extinction; subpopulations in six other regions were stable; and those in two regions increased or marginally increased. Although variation in territory occupancy was associated with changes in temperature, precipitation, anthropogenic disturbance, and local differences in habitat quality, evidence for interactions among these factors was much greater than that for additive relationships. Territory occupancy declined with rising minimum air temperatures during winter at a much greater rate in disturbed landscapes compared to those with little to no anthropogenic disturbance. Moreover, occupancy increased with annual precipitation at increasingly positive rates as local territory quality increased. Such results suggest a complex set of processes simultaneously drove changes in territory occupancy, likely by influencing food abundance and the quantity, connectivity, and quality of habitat. Management focused on 1) protecting high-quality habitat, 2) enhancing and creating habitat (e.g., nest-cavity augmentation, riparian restoration), 3) reducing deleterious changes in land use and land cover, and 4) increasing landscape connectivity through both passive (e.g., landscape planning and restoration) and active (e.g., facilitated dispersal, translocations) techniques will enhance recovery prospects for pygmyowls.
","language":"English","publisher":"University of Arizona","collaboration":"U.S. Fish and Wildlife Service","usgsCitation":"Flesch, A., Nagler, P.L., Jarchow, C., and Alexander, R.B., 2017, Population trends, extinction risk, and conservation guidelines for ferruginous pygmy-owls in the Sonoran Desert, 38 p.","productDescription":"38 p.","ipdsId":"IP-088307","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.92108833595975,\n 32.77933725310251\n ],\n [\n -112.92108833595975,\n 30.54552222291086\n ],\n [\n -109.9911552778319,\n 30.54552222291086\n ],\n [\n -109.9911552778319,\n 32.77933725310251\n ],\n [\n -112.92108833595975,\n 32.77933725310251\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flesch, Aaron","contributorId":213954,"corporation":false,"usgs":false,"family":"Flesch","given":"Aaron","affiliations":[{"id":38937,"text":"School of Natural Resources and the Environment, University of Arizona, The Desert Laboratory - 1675 Anklam Rd., Tucson, AZ 85745 flesch@email.arizona.edu","active":true,"usgs":false}],"preferred":false,"id":758803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":758802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarchow, Christopher 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":196069,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":758804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":953605,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198356,"text":"70198356 - 2017 - Basalt–trachybasalt samples in Gale Crater, Mars","interactions":[],"lastModifiedDate":"2018-08-03T16:06:06","indexId":"70198356","displayToPublicDate":"2017-12-01T11:03:37","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2715,"text":"Meteoritics and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Basalt–trachybasalt samples in Gale Crater, Mars","docAbstract":"The ChemCam instrument on the Mars Science Laboratory (MSL) rover, Curiosity, observed numerous igneous float rocks and conglomerate clasts, reported previously. A new statistical analysis of single‐laser‐shot spectra of igneous targets observed by ChemCam shows a strong peak at ~55 wt% SiO2 and 6 wt% total alkalis, with a minor secondary maximum at 47–51 wt% SiO2 and lower alkali content. The centers of these distributions, together with the rock textures, indicate that many of the ChemCam igneous targets are trachybasalts, Mg# = 27 but with a secondary concentration of basaltic material, with a focus of compositions around Mg# = 54. We suggest that all of these igneous rocks resulted from low‐pressure, olivine‐dominated fractionation of Adirondack (MER) class‐type basalt compositions. This magmatism has subalkaline, tholeiitic affinities. The similarity of the basalt endmember to much of the Gale sediment compositions in the first 1000 sols of the MSL mission suggests that this type of Fe‐rich, relatively low‐Mg#, olivine tholeiite is the dominant constituent of the Gale catchment that is the source material for the fine‐grained sediments in Gale. The similarity to many Gusev igneous compositions suggests that it is a major constituent of ancient Martian magmas, and distinct from the shergottite parental melts thought to be associated with Tharsis and the Northern Lowlands. The Gale Crater catchment sampled a mixture of this tholeiitic basalt along with alkaline igneous material, together giving some analogies to terrestrial intraplate magmatic provinces.
","language":"English","publisher":"Wiley","doi":"10.1111/maps.12953","usgsCitation":"Edwards, P.H., Bridges, J.C., Wiens, R.C., Anderson, R.B., Dyar, M.D., Fisk, M., Thompson, L., Gasda, P.J., Filiberto, J., Schwenzer, S.P., Blaney, D.L., and Hutchinson, I., 2017, Basalt–trachybasalt samples in Gale Crater, Mars: Meteoritics and Planetary Science, v. 52, no. 11, p. 2391-2410, https://doi.org/10.1111/maps.12953.","productDescription":"20 p.","startPage":"2391","endPage":"2410","ipdsId":"IP-078222","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":461327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/maps.12953","text":"Publisher Index Page"},{"id":356081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-14","publicationStatus":"PW","scienceBaseUri":"5b6fc529e4b0f5d57878eaff","contributors":{"authors":[{"text":"Edwards, Peter H.","contributorId":206598,"corporation":false,"usgs":false,"family":"Edwards","given":"Peter","email":"","middleInitial":"H.","affiliations":[{"id":35748,"text":"U. of Leicester","active":true,"usgs":false}],"preferred":false,"id":741221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bridges, John C.","contributorId":173222,"corporation":false,"usgs":false,"family":"Bridges","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":27194,"text":"University of Leicester","active":true,"usgs":false}],"preferred":false,"id":741222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":741223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":4215,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":741220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dyar, M. Darby","contributorId":200411,"corporation":false,"usgs":false,"family":"Dyar","given":"M.","email":"","middleInitial":"Darby","affiliations":[],"preferred":false,"id":741224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisk, Martin","contributorId":172301,"corporation":false,"usgs":false,"family":"Fisk","given":"Martin","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":741225,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Lucy","contributorId":200401,"corporation":false,"usgs":false,"family":"Thompson","given":"Lucy","affiliations":[],"preferred":false,"id":741226,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gasda, Patrick J.","contributorId":196313,"corporation":false,"usgs":false,"family":"Gasda","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741227,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Filiberto, Justin","contributorId":206599,"corporation":false,"usgs":false,"family":"Filiberto","given":"Justin","email":"","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":741228,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schwenzer, Susanne P.","contributorId":196316,"corporation":false,"usgs":false,"family":"Schwenzer","given":"Susanne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":741229,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Blaney, Diana L.","contributorId":170055,"corporation":false,"usgs":false,"family":"Blaney","given":"Diana","email":"","middleInitial":"L.","affiliations":[{"id":25664,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California","active":true,"usgs":false}],"preferred":false,"id":741230,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hutchinson, Ian","contributorId":206600,"corporation":false,"usgs":false,"family":"Hutchinson","given":"Ian","email":"","affiliations":[{"id":35748,"text":"U. of Leicester","active":true,"usgs":false}],"preferred":false,"id":741231,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70200008,"text":"70200008 - 2017 - Predictability and selection of hydrologic metrics in riverine ecohydrology","interactions":[],"lastModifiedDate":"2018-10-11T10:54:02","indexId":"70200008","displayToPublicDate":"2017-12-01T10:53:55","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Predictability and selection of hydrologic metrics in riverine ecohydrology","docAbstract":"The natural flow regime is critical to the health of riverine ecosystems. Many hydrologic metrics (HMs) have been developed to describe natural flow regimes, quantify flow alteration, and provide the hydrologic foundation for the development of environmental flow standards. Many applications require the use of models to predict expected natural values of HMs from basin characteristics at sites with no observed records of unimpaired flows. However, the error associated with HM estimation has not been evaluated. The primary goal of our study was to provide guidance for river scientists and managers in the selection, use, and interpretation of HMs for stream classification and hydroecological investigations of river ecosystems. We evaluated the predictability of a broad suite of HMs for the conterminous USA based on random forest statistical models. We also examined how the predictability of metrics varied among unique components of the flow regime. Roughly 40% of 612 HMs we examined could be predicted reliably from basin characteristics. The predictable metrics were disproportionately represented in 5 flow components: asymmetry, seasonality, magnitude, variability, and average monthly flows. Most metrics that represent extreme hydrological events (i.e., high and low flows) could not be reliably predicted. Roughly ⅔ of the evaluated HMs were incalculable or highly biased at intermittent/ephemeral streams because of the need for logarithmic transformations or scaling by other HMs, such as mean flows or percentile flow thresholds. Scaling metrics by drainage area tended to improve predictability. We recommend that the predictability of HMs be given greater consideration in studies and applications in which they are used to characterize and assess alteration of streamflow regimes.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/694912","usgsCitation":"Eng, K., Grantham, T., Carlisle, D.M., and Wolock, D.M., 2017, Predictability and selection of hydrologic metrics in riverine ecohydrology: Freshwater Science, v. 36, no. 4, p. 915-926, https://doi.org/10.1086/694912.","productDescription":"12 p.","startPage":"915","endPage":"926","ipdsId":"IP-086242","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":358272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc0309ae4b0fc368eb53a04","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":747728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grantham, Theodore E.","contributorId":198855,"corporation":false,"usgs":false,"family":"Grantham","given":"Theodore E.","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":747729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":747730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":747731,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202259,"text":"70202259 - 2017 - A paleomagnetic age estimate for the draining of ancient Lake Alamosa, San Luis Valley, south-central Colorado, U.S.A.","interactions":[],"lastModifiedDate":"2019-02-19T11:07:34","indexId":"70202259","displayToPublicDate":"2017-12-01T10:47:40","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3310,"text":"Rocky Mountain Geology","active":true,"publicationSubtype":{"id":10}},"title":"A paleomagnetic age estimate for the draining of ancient Lake Alamosa, San Luis Valley, south-central Colorado, U.S.A.","docAbstract":"In September 2009, a 99.4-m (326-ft) deep well was drilled proximal to Great Sand Dunes National Park and Preserve to explore the history and subsurface geology of the San Luis Valley, Colorado. Of particular interest was deciphering the evolution of ancient Lake Alamosa, which filled much of the San Luis Valley in the Pliocene and Pleistocene. Thick intervals of massive clay, recovered at the well (BP-3-USGS [U.S. Geological Survey]), represent deposition as part of this extensive lacustrine environment. Oriented paleomagnetic samples from the BP-3-USGS core allow for estimation of sediment deposition ages. Paleomagnetic analyses show magnetic reversals correlated to the Brunhes-Matuyama boundary (0.78 Ma) at about the 75.2-m (247-ft) depth and the start of the Jaramillo subchron (1.07 Ma) at the 90.9-m (298-ft) depth. These paleomagnetic age ties imply an average sediment accumulation rate of 0.10 mm/yr for the sediments above the Brunhes-Matuyama reversal and 0.05 mm/ yr for the sediments below the reversal. The relatively low average sedimentation rate (0.05 mm/yr) from below the reversal roughly corresponds with an observed lithological change at 70.7 m (232 ft) from deep-water lacustrine clays below the reversal, to increasing littoral and basin-margin deposits above. Magnetic reversal ages provide estimates for when the sedimentary environment at the well site shifted away from a deep-water lacustrine-dominated system to an alluvial system. This shift in depositional environment may correspond to the draining of Lake Alamosa and indicate when the San Luis Valley was incorporated into the downstream Rio Grande drainage network. The last extensive deposit of lacustrine clay at the well site is encountered at the 36.3–40.8 m (119–134 ft) depth, which corresponds to 423–376 ka. A lack of broadly distributed lacustrine clays above this layer suggests that Rio Grande incorporation and onset of Lake Alamosa draining occurred about 376 ka, similar to lake drainage estimates from 3He cosmogenic nuclide dating of Lake Alamosa and Rio Grande Gorge landforms. As such, our analyses suggest that the San Luis Valley likely became incorporated into the Rio Grande approximately 376 ka. Local, shallower lake systems appear to have existed at the well site until about 250 ka. This may corroborate the results of previous works that propose the drainage of Lake Alamosa began about 400 ka and was ultimately finished by 200 ka.
","language":"English","publisher":"Department of Geology and Geophysics at the University of Wyoming","publisherLocation":"Laramie, Wyoming","doi":"10.24872/rmgjournal.52.2.107","usgsCitation":"Davis, J.K., Hudson, M., and Grauch, V.J., 2017, A paleomagnetic age estimate for the draining of ancient Lake Alamosa, San Luis Valley, south-central Colorado, U.S.A.: Rocky Mountain Geology, v. 52, no. 2, p. 107-117, https://doi.org/10.24872/rmgjournal.52.2.107.","productDescription":"11 p.","startPage":"107","endPage":"117","ipdsId":"IP-090187","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":438130,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73R0RT0","text":"USGS data release","linkHelpText":"Data release for a paleomagnetic age estimate for the drainage of ancient Lake Alamosa, San Luis Valley, southwestern Colorado"},{"id":361331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Lake Alamosa, San Luis Valley","volume":"52","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Joshua K.","contributorId":138996,"corporation":false,"usgs":false,"family":"Davis","given":"Joshua","email":"","middleInitial":"K.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":757533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":757535,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202828,"text":"70202828 - 2017 - Effect of stocking and biotic and abiotic factors on Muskellunge recruitment in northern Wisconsin lakes","interactions":[],"lastModifiedDate":"2019-04-01T15:51:15","indexId":"70202828","displayToPublicDate":"2017-12-01T10:29:21","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effect of stocking and biotic and abiotic factors on Muskellunge recruitment in northern Wisconsin lakes","docAbstract":"The Muskellunge Esox masquinongy is an important recreational fish species in North America. Some populations of Muskellunge are in decline, despite a reduction in harvest by anglers due largely to a growing catch-and-release ethic. Our objectives were to determine if Muskellunge recruitment was influenced by stocking, biotic factors, and abiotic factors in northern Wisconsin lakes. To address our first objective, we compared parameters of Ricker stock-recruit models from stocked and non-stocked lakes to determine whether stocking enhanced Muskellunge abundance. Density dependence of recruitment rates did not differ significantly between stocked and non-stocked lakes, but the recruitment rate was significantly higher in stocked lakes than in non-stocked lakes. This finding confirmed that Muskellunge stocking significantly increased recruitment in Wisconsin lakes, so stocking can continue to be used to supplement Muskellunge populations with low natural recruitment. To address our second objective, we tested biotic and abiotic variables in stock-recruit models as possible explanatory variables for Muskellunge recruitment in Wisconsin lakes. Adult stock density, stocked Muskellunge density, average spring temperature, spring temperature variation, and age-0 Walleye Sander vitreus abundance explained significant Muskellunge recruitment variation. Our findings indicate that Muskellunge recruitment is regulated by a mix of stocking, as well as abiotic and biotic environmental factors in northern Wisconsin lakes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Muskellunge Management: Fifty Years of Cooperation Among Anglers, Scientists, and Fisheries Biologists","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Hugh C. Becker Memorial Muskellunge Symposium","conferenceDate":"March 13-15, 2016","conferenceLocation":"Minnetonka, Minnesota","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Caspers, T.S., Hansen, M.J., and Hewett, S.W., 2017, Effect of stocking and biotic and abiotic factors on Muskellunge recruitment in northern Wisconsin lakes, in Muskellunge Management: Fifty Years of Cooperation Among Anglers, Scientists, and Fisheries Biologists, Minnetonka, Minnesota, March 13-15, 2016.","ipdsId":"IP-075596","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":362582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362497,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54085c/"}],"country":"United 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\"}}]}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caspers, Todd S.","contributorId":214545,"corporation":false,"usgs":false,"family":"Caspers","given":"Todd","email":"","middleInitial":"S.","affiliations":[{"id":36989,"text":"North Dakota Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":760169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":760168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hewett, Steven 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Assessment (SESQA). The SESQA study included measurement of watershed and water quality parameters to determine the factors that have the greatest potential to alter biotic condition. Algal samples were collected at 108 sites in 2014, from streams representing gradients in chemical and physical alteration across the southeast region. More than 375 taxa were identified during analysis for species composition and abundance. This manuscript documents the flora with light micrographs of specimens representative of their morphologic range. We define “voucher flora” as images of specimens and the names applied to those specimens for a given project. Taxonomic vouchers from federal programs have generally not been made public, yet they are a salient element of a well-documented species dataset, particularly for long-term studies. This study is part of a broader effort to improve and encourage taxonomic consistency in federal, state and local programs by accessible identification resources and inter-lab comparisons.
Loss of small mineral particles from soil has been suggested as a process that can produce net isotopic fractionation in the remaining soil. We extracted water dispersible colloids (WDCs) from bulk soil collected at the Susquehanna/Shale Hills Critical Zone Observatory (SSHO) and measured their Fe isotopic composition for comparison to published data from the site. The goal was to explain soil δ56Fe values that become lighter as Fe is lost from soil. The range of δ56Fe values for WDCs was 0.22 to 0.59 ‰, barely intersecting the value of ~0.8 ± 0.3‰ predicted by mass balance for particulate Fe loss by a previous study. The WDCs extracted likely represent a mixture of unfractionated Fe inherited from shale minerals and secondary Fe fractionated by weathering zone processes. Thus, although the WDC compositions do not confirm small mineral particle losses as causing overall Fe isotope fractionation in SSHO soils, they are compatible with that interpretation.
","conferenceTitle":"Proceedings of the 12th International Symposium on Applied Isotope Geochemistry (AIG-12)","conferenceDate":"September 17-22, 2017","conferenceLocation":"Copper Mountain Resort, Colorado","language":"English","publisher":"Critical Zone Observatory","usgsCitation":"Bern, C.R., Yesavage, T., and Pribil, M., 2017, Iron isotope systematics of shale-derived soils as potentially influenced by small mineral particle loss, Proceedings of the 12th International Symposium on Applied Isotope Geochemistry (AIG-12), Copper Mountain Resort, Colorado, September 17-22, 2017.","ipdsId":"IP-088324","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":362367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362366,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://criticalzone.org/shale-hills/publications/pub/bern-et-al-2017-iron-isotope-systematics-of-shale-derived-soils-as-potentia/"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":166816,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":708587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yesavage, Tiffany","contributorId":175456,"corporation":false,"usgs":false,"family":"Yesavage","given":"Tiffany","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":708588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":708589,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185318,"text":"70185318 - 2017 - Geomechanical analysis of initial stage of gas production from interbedded hydrate-bearing sediment","interactions":[],"lastModifiedDate":"2021-10-27T18:04:52.326859","indexId":"70185318","displayToPublicDate":"2017-12-01T10:02:21","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geomechanical analysis of initial stage of gas production from interbedded hydrate-bearing sediment","docAbstract":"Geomechanical stability of marine hydrate reservoirs during gas production by depressurization is the focus of this study. The reservoir considered here consists of thin hydrate rich sandy layers interbedded with mud layers. Because of the input parameter uncertainties involved, it is prudent from a geomechanical perspective to estimate the likely bounds of potential responses. A decoupled approach is presented herein for which the pressure and hydrate saturation in the sediments during gas production are obtained from multiphase flow computation, but could also be synthesized from various scenarios. This procedure is illustrated with sample problems.
","conferenceTitle":"9th International Conference on Gas Hydrates","conferenceDate":"June 25-30, 2017","conferenceLocation":"Denver, CO","language":"English","publisher":"NETL","usgsCitation":"Lin, J., Uchida, S., Myshakin, E., Seol, Y., Rutqvist, J., Boswell, R., Waite, W., Jang, J., and Collett, T.S., 2017, Geomechanical analysis of initial stage of gas production from interbedded hydrate-bearing sediment, 9th International Conference on Gas Hydrates, Denver, CO, June 25-30, 2017, 6 p.","productDescription":"6 p.","ipdsId":"IP-084522","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":362364,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.netl.doe.gov/sites/default/files/netl-file/784-ICGH9-geomechanics-JSLin.pdf"},{"id":362365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lin, Jeen-Shang","contributorId":195141,"corporation":false,"usgs":false,"family":"Lin","given":"Jeen-Shang","email":"","affiliations":[],"preferred":false,"id":685151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uchida, Shun","contributorId":195142,"corporation":false,"usgs":false,"family":"Uchida","given":"Shun","email":"","affiliations":[],"preferred":false,"id":685152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myshakin, Evgeniy","contributorId":195140,"corporation":false,"usgs":false,"family":"Myshakin","given":"Evgeniy","affiliations":[],"preferred":false,"id":685153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seol, Yongkoo","contributorId":195139,"corporation":false,"usgs":false,"family":"Seol","given":"Yongkoo","email":"","affiliations":[],"preferred":false,"id":685154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rutqvist, Jonny","contributorId":189554,"corporation":false,"usgs":false,"family":"Rutqvist","given":"Jonny","email":"","affiliations":[],"preferred":false,"id":685155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, Ray","contributorId":195143,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":685156,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":685150,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jang, Junbong 0000-0001-5500-7558 jjang@usgs.gov","orcid":"https://orcid.org/0000-0001-5500-7558","contributorId":189400,"corporation":false,"usgs":true,"family":"Jang","given":"Junbong","email":"jjang@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":685157,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760206,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70260145,"text":"70260145 - 2017 - Geology of Kasatochi Volcano, Aleutian Islands, Alaska","interactions":[],"lastModifiedDate":"2024-10-30T14:57:15.664116","indexId":"70260145","displayToPublicDate":"2017-12-01T09:51:50","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":19003,"text":"Division of Geological & Geophysical Surveys Professional Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"123","title":"Geology of Kasatochi Volcano, Aleutian Islands, Alaska","docAbstract":"Kasatochi is a small, isolated island volcano in the center of the Aleutian Island chain. It consists of a roughly circular cone ~3 km in diameter with a lake-filled central crater that is 1.2 km in diameter and extends from the highest point on the island to sea level. The earliest unit recognized is a thick series of mid-Pleistocene glaciovolcanic deposits consisting of autobrecciated lava, lahars, and volumetrically minor lava masses that we believe to have been emplaced underneath a regional ice cap. This unit is unconformably overlain by several massive Holocene lavas, above which lies a thick sequence of latest- Holocene pyroclastic deposits likely deposited during the crater-forming eruption. The 2008 eruption enlarged the preexisting crater, and produced pyroclastic density currents, surges, and fall that blanketed the entire island except for steep, seaward-facing cliffs on the flanks and the crater wall. 2008 deposits initially extended the shoreline seaward by up to 500 m.
Kasatochi lava and scoria are porphyritic basalt, basaltic andesite, and andesite, all of which bear trace-element evidence for prolonged crustal residence and equilibration with an amphibole-rich gabbroic residue. Lavas from individual effusive eruptions have limited compositional range, whereas juvenile scoriae from explosive eruptions span the majority of the compositional range of the entire volcano. 2008 pyroclastic deposits contain texturally diverse amphibole gabbro clasts and smaller, less abundant, plagioclase-free pyroxenitic and peridotitic cumulate inclusions. We infer that the gabbroic inclusions are from the margins of regions of crustal magma storage and evolution and that equilibration with the amphibole plays an important role in the evolution of mafic and intermediate magmas.
","language":"English","publisher":"State of Alaska, Department of Natural Resources, Division of Geological and Geophysical Surveys","doi":"10.14509/29718","usgsCitation":"Nye, C.J., Scott, W., Neill, O.K., Waythomas, C.F., Cameron, C.E., and Calvert, A.T., 2017, Geology of Kasatochi Volcano, Aleutian Islands, Alaska: Division of Geological & Geophysical Surveys Professional Report 123, Report: 127 p.; 1 Sheet: 32.50 x 34.50 inches, https://doi.org/10.14509/29718.","productDescription":"Report: 127 p.; 1 Sheet: 32.50 x 34.50 inches","ipdsId":"IP-086255","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469254,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29718","text":"Publisher Index Page"},{"id":463433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kasatochi volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -175.54101712169785,\n 52.190449891528914\n ],\n [\n -175.54101712169785,\n 52.152159889600455\n ],\n [\n -175.4841414650661,\n 52.152159889600455\n ],\n [\n -175.4841414650661,\n 52.190449891528914\n ],\n [\n -175.54101712169785,\n 52.190449891528914\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nye, Christopher J.","contributorId":345655,"corporation":false,"usgs":false,"family":"Nye","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":917186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, William E. 0000-0001-8156-979X","orcid":"https://orcid.org/0000-0001-8156-979X","contributorId":250706,"corporation":false,"usgs":true,"family":"Scott","given":"William E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neill, Owen K","contributorId":345656,"corporation":false,"usgs":false,"family":"Neill","given":"Owen","email":"","middleInitial":"K","affiliations":[{"id":82679,"text":"Peter Hooper GeoAnalytical Lab, School of the Environment, 1228 Webster Physical Science Building, Washington State University, Pullman, Washington 99164","active":true,"usgs":false}],"preferred":false,"id":917188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cameron, Cheryl E. 0000-0001-6366-2130","orcid":"https://orcid.org/0000-0001-6366-2130","contributorId":194695,"corporation":false,"usgs":false,"family":"Cameron","given":"Cheryl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":917190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917191,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263475,"text":"70263475 - 2017 - Geophysical characterization of seismic station sites in the United States – The importance of a flexible, multi-method approach","interactions":[],"lastModifiedDate":"2025-02-12T15:54:05.395998","indexId":"70263475","displayToPublicDate":"2017-12-01T09:49:56","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geophysical characterization of seismic station sites in the United States – The importance of a flexible, multi-method approach","docAbstract":"Noninvasive geophysical site characterization methods were used in two recent projects to obtain shear-wave velocity (VS) profiles to a minimum depth of 30 m and the time-averaged VS of the upper 30 meters (VS30) at seismic station sites. These projects include the 2009 American Recovery and Reinvestment Act (ARRA) funded U.S. Geological Survey site characterization project for 191 sites in California and the Central-eastern United States (CEUS), and the 2012 Electric Power Research Institute (EPRI) funded project for 33 additional CEUS sites. These sites are located in rural to urban settings with topographic conditions ranging from relatively flat sedimentary basins to mountaintop ridges. About 60 percent of the ARRA sites and 80 percent of the EPRI sites are located on rock or have thin sediment cover over rock, including Quaternary volcanic rock, Tertiary sediments and sedimentary rock, and Mesozoic (or older) crystalline or sedimentary rock. The remaining sites consist of thick sequences of Quaternary sediments overlying older sediments and rock.
ARRA sites were characterized using non-invasive active and passive surface-wave methods, including the horizontal-tovertical spectral ratio (HVSR) method and one or more of the following: spectral analysis of surface waves (SASW), multichannel analysis of surface waves (MASW; Rayleigh and Love waves) and, occasionally, array microtremor (linear and 2-D arrays) methods. P-wave seismic refraction data were also acquired at rock and shallow-rock sites. S-wave seismic refraction and/or Love-wave MASW methods were applied at sites where characterization proved difficult with Rayleighwave methods. Based on our experience from the ARRA project, we acquired Rayleigh- and Love-wave based MASW and P- and S-wave refraction data for the EPRI project at CEUS sites.
The HVSR method was found to be useful for identifying shallow-rock sites and for evaluating the relative variability of the depth-to-rock interface beneath the seismic station and the testing array(s). The fundamental mode modeling assumption was generally valid at most of these sites; nevertheless, multi-mode or effective-mode modeling routines were occasionally required, particularly in the case of shallow high-velocity layers. Deep sediment sites were characterized using active and, when appropriate, passive surface-wave based methods. Rock and shallow sediment sites were generally more challenging to characterize than deep sediment sites. About 10 percent of rock sites could not be characterized using surface wave methods, thus these sites were characterized using body-wave refraction methods. Love wave methods were found to be more effective than Rayleigh wave methods at some rock and shallow-rock sites (e.g., sites with shallow rock and sites with a thin low-velocity, highly attenuating surface layer). Lateral velocity variability was found to be very common at rock and shallow-rock sites, often causing significant scatter in the surface-wave dispersion data. Seismic refraction models have demonstrated that it may not be unusual for VS30 to vary by 20 percent, or more, over small distances (several tens of meters) at such sites. Based on these experiences, it is important to consider the application of combinations of methods when using noninvasive geophysical approaches to characterize seismic site conditions.
","conferenceTitle":"16th World Conference on Earthquake Engineering, 16WCEE 2017","conferenceDate":"January 9-13, 2017","conferenceLocation":"Santiago, Chile","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Martin, A., Yong, A., Stephenson, W.J., Boatwright, J., and Diehl, J., 2017, Geophysical characterization of seismic station sites in the United States – The importance of a flexible, multi-method approach, 16th World Conference on Earthquake Engineering, 16WCEE 2017, Santiago, Chile, January 9-13, 2017, 19 p.","productDescription":"19 p.","ipdsId":"IP-080676","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481977,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wcee.nicee.org/wcee/sixteenth_conf_Santiago/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.07855248193185,\n 32.53666625001908\n ],\n [\n -114.30928863190336,\n 32.63838082249163\n ],\n [\n -114.18940679698169,\n 34.53764946137473\n ],\n [\n -119.39424118924363,\n 38.572056705043025\n ],\n [\n -123.29737686526406,\n 37.63629841187134\n ],\n [\n -120.31399583477251,\n 34.0619554841515\n ],\n [\n -117.07855248193185,\n 32.53666625001908\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.56029556803429,\n 36.997446902950074\n ],\n [\n -99.86195232972082,\n 34.14086982696833\n ],\n [\n -91.74686942614534,\n 33.02956856409422\n ],\n [\n -84.68084295679529,\n 31.754844006785248\n ],\n [\n -81.4025521969889,\n 32.03675981430574\n ],\n [\n -76.00210444134004,\n 35.756079891470606\n ],\n [\n -71.27311244517016,\n 44.469348399372535\n ],\n [\n -74.529776508883,\n 45.025831483992505\n ],\n [\n -77.26839093048407,\n 43.03532376235151\n ],\n [\n -81.20361675467349,\n 41.569243273876594\n ],\n [\n -86.76267624679905,\n 41.9776316577331\n ],\n [\n -91.49798799968512,\n 40.22868842092885\n ],\n [\n -98.56029556803429,\n 36.997446902950074\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Antony","contributorId":243672,"corporation":false,"usgs":false,"family":"Martin","given":"Antony","affiliations":[],"preferred":false,"id":927099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yong, Alan 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":204730,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":927101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boatwright, J.","contributorId":87297,"corporation":false,"usgs":true,"family":"Boatwright","given":"J.","email":"","affiliations":[],"preferred":false,"id":927172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diehl, John","contributorId":350842,"corporation":false,"usgs":false,"family":"Diehl","given":"John","affiliations":[{"id":83844,"text":"GEOVision, Incorporated","active":true,"usgs":false}],"preferred":false,"id":927102,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70248842,"text":"70248842 - 2017 - Natural inquirer: The citizen science edition","interactions":[],"lastModifiedDate":"2023-09-22T14:35:30.904613","indexId":"70248842","displayToPublicDate":"2017-12-01T09:31:51","publicationYear":"2017","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Natural inquirer: The citizen science edition","docAbstract":"People across the world are helping scientists collect data to answer important research questions. Learn how citizens are getting involved in science, from counting birds and lionfish to reporting earthquakes. All Over the Map, Citizen Science System, Device-ive Science, Invasion of the Song Snatcher, and Lion In Wait.","language":"English","publisher":"U.S. Forest Service Research","usgsCitation":"Jenkins, S., 2017, Natural inquirer: The citizen science edition, v. 19, 93 p.","productDescription":"93 p.","ipdsId":"IP-084406","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":421074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421051,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://www.naturalinquirer.org/Citizen-Science-i-71.html"}],"volume":"19","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Shonte 0009-0005-2863-849X","orcid":"https://orcid.org/0009-0005-2863-849X","contributorId":330009,"corporation":false,"usgs":true,"family":"Jenkins","given":"Shonte","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":883851,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}