Polar bears (Ursus maritimus) in the southern Beaufort Sea population (SB) are spending increased time on the coastal North Slope of Alaska between July and October (Gleason and Rode 2010). The duration spent on land by polar bears, satellite collared on the sea-ice in the spring, during the summer and fall has also increased (USGS, unpublished data; Figure 1). This change in polar bear ecology has relevance for human-bear interactions, subsistence harvest, prevalence of defense kills, and disturbance associated with existing land-based development [e.g., National Petroleum Reserve of Alaska (NPRA), Arctic National Wildlife Refuge (ANWR)], Native Alaskan communities, recreation (ANWR) and tourism (e.g., bear viewing in Kaktovik, AK). These activities have the potential to impact, in new ways, the status of the entire SB population. Concomitantly, the change in polar bear ecology will impact these human activities, and a base-line characterization of this phenomenon can better inform mitigation (e.g., industry permitting under the Endangered Species Act and Marine Mammal Protection Act). In this study we aim to characterize the demography, habitat-use, and aspects of foraging ecology and health of polar bears spending fall on land. The SB population is characterized by a divergent-sea ice ecology, where polar bears typically spend most of the year on the sea-ice, even as the pack ice retreats northward, away from the coast, to its minimal extent in September (Amstrup et al. 2008; Durner et al. 2009). From 2000 – 2005, using coastal aerial surveys, Schliebe et al. (2008) observed between 3.7 and 8% of polar bears from SB (~ 60 – 120 of 1526, Regher et al. 2006) on land during the autumn. Sighting probability was not estimated in these surveys, and therefore the numbers represent minimum numbers of bears on land. Our analysis of USGS data suggest an annual average of 15% (± 3%, SE) of polar bears satellite-tagged on the spring-time sea ice (total n = 18 of 124 satellite tags, 2003 – 2009) come to land during July – October. Based on these data, and an assumption that bears satellite-tagged on the spring time sea ice are representative of the entire SB population of independent bears, there would be an average of 230 bears on land each fall. In contrast to the SB population, in five of the world’s 19 polar bear populations (Obbard et al. 2010), polar bears spend significant periods of time on land (1 – 5 months) when ice completely melts. In these seasonal-ice populations (Amstrup et al. 2008), polar bears are largely in a hypophagic condition (e.g., Hobson et al. 2009), relying on fat stores from the spring hyperphagic season, when ringed seals (Phoca hispida) pup. In general, these seasonal-ice populations are demographically productive (Taylor et al. 2005), although recently an increase in the ice-free season has resulted in a population decline in western Hudson Bay (Stirling et al. 1999; Regehr et al. 2007). There have been measured declines in the body condition and productivity of polar bears in SB, and changes in these parameters have been linked to declining optimal ice habitat (e.g., Durner et al. 2009; Regehr et al. 2010). We do not understand the relationship between land-use and the overall status of the population. Individual polar bears that use land may have increased or decreased fitness, in comparison to polar bears that remain on ice in the autumn. This project, which focuses on the biology of animals that spend time on-shore, will help address this question. This project is funded by the Bureau of Ocean Energy Management (BOEM) under Agreement No. M09PG00025 and the USGS Outer Continental Shelf Program (OCS) for FY 2009-2014. Parts of this study are also funded by US Fish and Wildlife Service, Office of Marine Mammals Management; the Bureau of Land Management; and the North Slope Borough, Department of Wildlife Management. This report is comprehensive, describing results for achieving the overlap
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We developed a statistically and biologically defensible multimetric index of fish assemblages for the Caney Fork River below Center Hill Dam, Tennessee. Fish assemblages were sampled at five sites using boat-mounted and backpack electrofishing gear from fall 2009 through summer 2011. A multivariate statistical approach was used to select metrics that best reflected the downstream gradients in abiotic variables. Five metrics derived from boat electrofishing samples and four metrics derived from backpack electrofishing samples were selected for incorporation into the index based on their high correlation with environmental data. The nine metrics demonstrated predictable patterns of increase or decrease with increasing distance downstream of the dam. The multimetric index generally exhibited a pattern of increasing scores with increasing distance from the dam, indicating a downstream recovery gradient in fish assemblage composition. The index can be used to monitor anticipated changes in the fish communities of the Caney Fork River when repairs to Center Hill Dam are completed later this decade, resulting in altered dam operations.
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In an effort to increase public awareness of landslide hazards and encourage public participation in collecting basic data about landslides, the USGS recently launched a website called “Report a landslide.” The website is modeled in part after the highly successful USGS website “Did you feel it?” which has been used for several years to gather data from the public about intensity of felt earthquakes. The new “Report a landslide” website encourages visitors to report where and when they observed a landslide and to classify the landslide by movement type. Interested users also can report information about damage and casualties, dimensions, and simple geological observations, and can submit photographs of the landslide. Once a user submits a report, the location of the reported landslide appears on a map, and the location is linked to a summary of submitted data. Photos are reviewed prior to posting on the event page. By adding existing USGS data from historical landslides and promoting the website in the wake of large, regional landslide events, we hope to generate widespread awareness and interest in the website. The “Report a landslide” site has great potential for eventually creating a nationwide source of basic landslide data.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslide science for a safer geoenvironment, Vol.1: The International Programme on Landslides (IPL)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-04999-1_8","usgsCitation":"Baum, R.L., Highland, L.M., Lyttle, P.T., Fee, J., Martinez, E., and Wald, L.A., 2014, \"Report a Landslide” A website to engage the public in identifying geologic hazards, in Landslide science for a safer geoenvironment, Vol.1: The International Programme on Landslides (IPL), p. 95-100, https://doi.org/10.1007/978-3-319-04999-1_8.","productDescription":"6 p.","startPage":"95","endPage":"100","ipdsId":"IP-049597","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":339730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"58f1e0cae4b08144348b7e1a","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Highland, Lynn M. highland@usgs.gov","contributorId":1292,"corporation":false,"usgs":true,"family":"Highland","given":"Lynn","email":"highland@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":519667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyttle, Peter T. plyttle@usgs.gov","contributorId":293,"corporation":false,"usgs":true,"family":"Lyttle","given":"Peter","email":"plyttle@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":519663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fee, Jeremy jmfee@usgs.gov","contributorId":3775,"corporation":false,"usgs":true,"family":"Fee","given":"Jeremy","email":"jmfee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":519668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinez, Eric emartinez@usgs.gov","contributorId":1111,"corporation":false,"usgs":true,"family":"Martinez","given":"Eric","email":"emartinez@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":519665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wald, Lisa A. 0000-0002-5467-0523 lisa@usgs.gov","orcid":"https://orcid.org/0000-0002-5467-0523","contributorId":449,"corporation":false,"usgs":true,"family":"Wald","given":"Lisa","email":"lisa@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519664,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70120201,"text":"70120201 - 2014 - Well log and 2D seismic data character of the Wilcox Group in south-central Louisiana","interactions":[],"lastModifiedDate":"2015-01-19T12:03:55","indexId":"70120201","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Well log and 2D seismic data character of the Wilcox Group in south-central Louisiana","docAbstract":"Well logs and 2D seismic data were used to interpret the depth and morphology of potential Paleocene and lower Eocene Wilcox Group slope and basin-floor reservoirs in south-central Louisiana. These may occur in a poorly explored area previously estimated by the U.S. Geological Survey to contain a mean undiscovered conventional resource potential of 26,398 billion cubic feet of gas and 423 million barrels of natural gas liquids.
\n\n
The Wilcox Group is 15,000 to 26,000 feet deep in south-central Louisiana. Previously published paleogeographic maps suggest the sediment transport direction during the Paleocene and lower Eocene was west to east, parallel to the relict Cretaceous shelf margin, and north to south due to the development of the Holly Springs delta system in Louisiana. Inclined reflectors on the 2D seismic data suggest high-energy deposition of clastic sediments. There is minimal well control downdip of currently productive areas.
\n\n
The Wilcox Group is productive in updip areas of Texas and Louisiana from fluvial, deltaic, and near-shore marine shelf sandstones. The reported presence of porous sandstones at 29,000 feet within the Wilcox Group containing about 200 feet of gas in the Davy Jones 1 discovery well in the offshore Louisiana South Marsh Island area illustrates a sand-rich system developed during the Paleocene and early Eocene. This study describes some of the well log and reflection seismic data characteristics of the slope and basin-floor reservoirs with gas-discovery potential that may be in the area between the producing trend onshore Louisiana and the offshore discovery.
","language":"English","publisher":"Gulf Coast Association of Geological Societies","usgsCitation":"Enomoto, C.B., 2014, Well log and 2D seismic data character of the Wilcox Group in south-central Louisiana: Gulf Coast Association of Geological Societies Transactions, v. 64, p. 105-118.","productDescription":"14 p.","startPage":"105","endPage":"118","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055340","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":297380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297379,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/064/064001/105_gcags640105.htm"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.06494140625,\n 33.063924198120645\n ],\n [\n -90.85693359375,\n 32.97180377635759\n ],\n [\n -91.20849609375,\n 30.732392734006083\n ],\n [\n -88.9892578125,\n 30.012030680358613\n ],\n [\n -88.96728515624999,\n 28.86391842622456\n ],\n [\n -93.91113281249999,\n 29.783449456820605\n ],\n [\n -94.06494140625,\n 33.063924198120645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2c8fe4b08de9379b3873","contributors":{"authors":[{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":519216,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148128,"text":"70148128 - 2014 - Spawning behavior in Atlantic cod: analysis by use of data storage tags","interactions":[],"lastModifiedDate":"2015-06-03T10:52:00","indexId":"70148128","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Spawning behavior in Atlantic cod: analysis by use of data storage tags","docAbstract":"Electronic data storage tags (DSTs) were implanted into Atlantic cod captured in Icelandic waters from 2002 to 2007 and the depth profiles recovered from these tags (females: n = 31, males: n = 27) were used to identify patterns consistent with published descriptions of cod courtship and spawning behavior. The individual periods of time that males spent exhibiting behavior consistent with being present in a spawning aggregation—i.e. periods consisting of a clear tidal signature in the DST depth profile associated with an individual remaining on or near the substrate—were longer than those of females. Over the course of a spawning season, male cod spent approximately twice the amount of time in spawning aggregations than females, but female cod visited more aggregations per unit time. On average, males participated in approximately 57% more putative spawning events, i.e. vertical ascents potentially corresponding to gamete release, than did females. However, males <85 cm total length participated in the same number of putative spawning events as females of comparable size. In both sexes, larger individuals and/or individuals that spent a longer period of time within an aggregation participated in a larger number of putative spawning events. Although further validation and refinement is necessary, particularly in the identification of spawning events, the ability offered by DSTs to quantify cod spawning behavior may aid in the development of management and conservation plans.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps10787","usgsCitation":"Grabowski, T.B., Thorsteinsson, V., and Marteinsdottir, G., 2014, Spawning behavior in Atlantic cod: analysis by use of data storage tags: Marine Ecology Progress Series, v. 506, p. 279-290, https://doi.org/10.3354/meps10787.","productDescription":"12 p.","startPage":"279","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050100","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10787","text":"Publisher Index Page"},{"id":301015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","volume":"506","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5570253fe4b0d9246a9fd1b3","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorsteinsson, Vilhjalmur","contributorId":49215,"corporation":false,"usgs":true,"family":"Thorsteinsson","given":"Vilhjalmur","email":"","affiliations":[],"preferred":false,"id":548146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marteinsdottir, Gudrun","contributorId":11099,"corporation":false,"usgs":false,"family":"Marteinsdottir","given":"Gudrun","email":"","affiliations":[],"preferred":false,"id":548147,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70137757,"text":"70137757 - 2014 - Mount Rainier National Park","interactions":[],"lastModifiedDate":"2017-11-22T15:53:48","indexId":"70137757","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Mount Rainier National Park","docAbstract":"Natural Resource Condition Assessments (NRCAs) evaluate current conditions for a subset of natural resources and resource indicators in national parks. NRCAs also report on trends in resource condition (when possible), identify critical data gaps, and characterize a general level of confidence for study findings. The resources and indicators emphasized in a given project depend on the park’s resource setting, status of resource stewardship planning and science in identifying high-priority indicators, and availability of data and expertise to assess current conditions for a variety of potential study resources and indicators. Although the primary objective of NRCAs is to report on current conditions relative to logical forms of reference conditions and values, NRCAs also report on trends, when appropriate (i.e., when the underlying data and methods support such reporting), as well as influences on resource conditions. These influences may include past activities or conditions that provide a helpful context for understanding current conditions and present-day threats and stressors that are best interpreted at park, watershed, or landscape scales (though NRCAs do not report on condition status for land areas and natural resources beyond park boundaries). Intensive cause-andeffect analyses of threats and stressors, and development of detailed treatment options, are outside the scope of NRCAs. It is also important to note that NRCAs do not address resources that lack sufficient data for assessment. For Mount Rainier National Park, this includes most invertebrate species and many other animal species that are subject to significant stressors from climate change and other anthropogenic sources such as air pollutants and recreational use. In addition, we did not include an analysis of the physical hydrology associated with streams (such as riverine landforms, erosion and aggradation which is significant in MORA streams), due to a loss of staff expertise from the USGS-BRD staff conducting the work, and human disturbance landcover issues such as the effects of roads, trails, and other anthropogenic developments due to lack of funds.
","language":"English","publisher":"National Park Service","usgsCitation":"Hoffman, R., Woodward, A., Haggerty, P.K., Jenkins, K.J., Griffin, P., Adams, M.J., Hagar, J., Cummings, T., Duriscoe, D., Kopper, K., Riedel, J., Samora, B., Marin, L., Mauger, G., Bumbaco, K., and Littell, J.S., 2014, Mount Rainier National Park, xxvi., 353 p. .","productDescription":"xxvi., 353 p. ","startPage":"1","endPage":"380","ipdsId":"IP-056933","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":328462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297135,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2218811"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3be4b0571647d19ab0","contributors":{"authors":[{"text":"Hoffman, Robert robert_hoffman@usgs.gov","contributorId":2991,"corporation":false,"usgs":true,"family":"Hoffman","given":"Robert","email":"robert_hoffman@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":538063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","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":538064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haggerty, Patricia K. phaggerty@usgs.gov","contributorId":4602,"corporation":false,"usgs":true,"family":"Haggerty","given":"Patricia","email":"phaggerty@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":538065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":538066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffin, Paul C. pgriffin@usgs.gov","contributorId":3402,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul C.","email":"pgriffin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":538067,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":538068,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","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":538069,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cummings, Tonnie","contributorId":41760,"corporation":false,"usgs":true,"family":"Cummings","given":"Tonnie","email":"","affiliations":[],"preferred":false,"id":538070,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duriscoe, Dan","contributorId":138604,"corporation":false,"usgs":false,"family":"Duriscoe","given":"Dan","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":538071,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kopper, Karen","contributorId":138605,"corporation":false,"usgs":false,"family":"Kopper","given":"Karen","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":538072,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Riedel, Jon","contributorId":138606,"corporation":false,"usgs":false,"family":"Riedel","given":"Jon","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":538073,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Samora, Barbara","contributorId":95770,"corporation":false,"usgs":true,"family":"Samora","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":538074,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Marin, Lelaina","contributorId":138607,"corporation":false,"usgs":false,"family":"Marin","given":"Lelaina","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":538075,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mauger, Guillaume S.","contributorId":11954,"corporation":false,"usgs":true,"family":"Mauger","given":"Guillaume S.","affiliations":[],"preferred":false,"id":538076,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bumbaco, Karen","contributorId":138609,"corporation":false,"usgs":false,"family":"Bumbaco","given":"Karen","email":"","affiliations":[{"id":12464,"text":"University of Washington Office of the Washington State Climatologist","active":true,"usgs":false}],"preferred":false,"id":538077,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Littell, Jeremy S.","contributorId":54506,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":538078,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70134311,"text":"ofr20141213 - 2014 - U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative - 2013 Annual Report","interactions":[],"lastModifiedDate":"2017-12-27T15:14:30","indexId":"ofr20141213","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1213","title":"U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative - 2013 Annual Report","docAbstract":"This is the sixth report produced by the U.S. Geological Survey (USGS) for the Wyoming Landscape Conservation Initiative (WLCI) to detail annual activities conducted by USGS for addressing specific management needs identified by WLCI partners. In FY2013, there were 25 ongoing and new projects conducted by the USGS. These projects fall into 8 major categories: (1) synthesizing and analyzing existing data to describe (model and map) current conditions on the landscape; (2) developing models for projecting past and future landscape conditions; (3) monitoring indicators of ecosystem conditions and the effectiveness of on-the-ground habitat projects; (4) conducting research to elucidate the mechanisms underlying wildlife and habitat responses to changing land uses; (5) managing and making accessible the large number of databases, maps, and other products being developed; (6) helping to integrate WLCI outcomes with future habitat enhancement and research projects; (7) coordinating efforts among WLCI partners; and (8) providing support to WLCI decision-makers and assisting with overall evaluation of the WLCI program. The two new projects initiated in FY2013 address (1) important agricultural lands in southwestern Wyoming, and (2) the influence of energy development on native fish communities. The remaining activities entailed our ongoing efforts to compile data, model landscape conditions, monitor trends in habitat conditions, conduct studies of wildlife responses to energy development, and upgrade Web-based products in support of both individual and overall WLCI efforts.\r\nMilestone FY2013 accomplishments included completing the development of a WLCI inventory and monitoring framework and the associated monitoring strategies, protocols, and analytics; and initial development of an Interagency Inventory and Monitoring Database, which will be accessible through the Monitoring page of the WLCI Web site at http://www.wlci.gov/monitoring. We also completed the initial phase of the mountain shrub-mapping project in the Big Piney-La Barge mule deer winter range. Finally, a 3-year survey of pygmy rabbits in four major gas-field areas was completed and used to validate the pygmy rabbit habitat model/map developed earlier in the project. Important products that became available for use by WLCI partners included publication of USGS Data Series report (http://pubs.usgs.gov/ds/800/pdf/ds800.pdf) that compiles our WLCI land cover and land use data, which depict current and historical patterns of sage-grouse habitat in relation to energy development and will be used to pose “what-if” scenarios to evaluate possible outcomes of alternative land-use strategies and practices on habitat and wildlife. Another important FY2013 product was a journal article (http://aapgbull.geoscienceworld.org/content/97/6/899.full) that describes the Mowry Shale and Frontier formation, which harbors coalbed methane and shale gas resources in Wyoming, Colorado, and Utah, for use in future scenario-building work. We also produced maps and databases that depict the structure and condition of aspen stands in the Little Mountain Ecosystem, and then presented this information to the Bureau of Land Management, Wyoming Game and Fish Department, and other interested entities for supporting aspen-management objectives.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20141213","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Bern, C., Biewick, L.R., Boughton, G.K., Chalfoun, A.D., Chong, G.W., Dematatis, M.K., Fedy, B., Garman, S.L., Germaine, S., Hethcoat, M.G., Homer, C.G., Huber, C., Kauffman, M., Latysh, N., Manier, D.J., Melcher, C.P., Miller, K.A., Potter, C.J., Schell, S., Sweat, M.J., Walters, A.W., and Wilson, A.B., 2014, U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative - 2013 Annual Report: U.S. Geological Survey Open-File Report 2014-1213, 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aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":525848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Assal, Timothy J. 0000-0001-6342-2954 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geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":525855,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dematatis, Marie K. mdematatis@usgs.gov","contributorId":5895,"corporation":false,"usgs":true,"family":"Dematatis","given":"Marie","email":"mdematatis@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525856,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fedy, Bradley C.","contributorId":40536,"corporation":false,"usgs":true,"family":"Fedy","given":"Bradley C.","affiliations":[],"preferred":false,"id":525857,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":525858,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Germaine, Steve 0000-0002-7614-2676 germaines@usgs.gov","orcid":"https://orcid.org/0000-0002-7614-2676","contributorId":4743,"corporation":false,"usgs":true,"family":"Germaine","given":"Steve","email":"germaines@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":525859,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hethcoat, Matthew G.","contributorId":66565,"corporation":false,"usgs":true,"family":"Hethcoat","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":525860,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":525861,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Huber, Christopher 0000-0001-8446-8134 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nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"preferred":true,"id":525864,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Manier, Daniel J. 0000-0002-1105-1327 manierd@usgs.gov","orcid":"https://orcid.org/0000-0002-1105-1327","contributorId":127553,"corporation":false,"usgs":true,"family":"Manier","given":"Daniel","email":"manierd@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525865,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Melcher, Cynthia P. 0000-0002-8044-9689 melcherc@usgs.gov","orcid":"https://orcid.org/0000-0002-8044-9689","contributorId":5094,"corporation":false,"usgs":true,"family":"Melcher","given":"Cynthia","email":"melcherc@usgs.gov","middleInitial":"P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525846,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Miller, Kirk A. 0000-0002-8141-2001 kmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-8141-2001","contributorId":3959,"corporation":false,"usgs":true,"family":"Miller","given":"Kirk","email":"kmiller@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525866,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Potter, Christopher J. 0000-0002-2300-6670 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mjsweat@usgs.gov","contributorId":356,"corporation":false,"usgs":true,"family":"Sweat","given":"Michael","email":"mjsweat@usgs.gov","middleInitial":"J.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525869,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":525870,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Wilson, Anna B. 0000-0002-9737-2614 awilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-2614","contributorId":1619,"corporation":false,"usgs":true,"family":"Wilson","given":"Anna","email":"awilson@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":525871,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70142505,"text":"70142505 - 2014 - Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin","interactions":[],"lastModifiedDate":"2017-05-31T16:21:20","indexId":"70142505","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin","docAbstract":"This study projects future (e.g., 2050 and 2099) grassland productivities in the Greater Platte River Basin (GPRB) using ecosystem performance (EP, a surrogate for measuring ecosystem productivity) models and future climate projections. The EP models developed from a previous study were based on the satellite vegetation index, site geophysical and biophysical features, and weather and climate drivers. The future climate data used in this study were derived from the National Center for Atmospheric Research Community Climate System Model 3.0 ‘SRES A1B’ (a ‘middle’ emissions path). The main objective of this study is to assess the future sustainability of the potential biofuel feedstock areas identified in a previous study. Results show that the potential biofuel feedstock areas (the more mesic eastern part of the GPRB) will remain productive (i.e., aboveground grassland biomass productivity >2750 kg ha−1 year−1) with a slight increasing trend in the future. The spatially averaged EPs for these areas are 3519, 3432, 3557, 3605, 3752, and 3583 kg ha−1 year−1 for current site potential (2000–2008 average), 2020, 2030, 2040, 2050, and 2099, respectively. Therefore, the identified potential biofuel feedstock areas will likely continue to be sustainable for future biofuel development. On the other hand, grasslands identified as having no biofuel potential in the drier western part of the GPRB would be expected to stay unproductive in the future (spatially averaged EPs are 1822, 1691, 1896, 2306, 1994, and 2169 kg ha−1 year−1 for site potential, 2020, 2030, 2040, 2050, and 2099). These areas should continue to be unsuitable for biofuel feedstock development in the future. These future grassland productivity estimation maps can help land managers to understand and adapt to the expected changes in future EP in the GPRB and to assess the future sustainability and feasibility of potential biofuel feedstock areas.
","language":"English","publisher":"WIley","doi":"10.1111/gcbb.12059","usgsCitation":"Gu, Y., Wylie, B.K., Boyte, S.P., and Phuyal, K.P., 2014, Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin: GCB Bioenergy, v. 6, no. 1, p. 35-43, https://doi.org/10.1111/gcbb.12059.","productDescription":"9 p.","startPage":"35","endPage":"43","ipdsId":"IP-041312","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcbb.12059","text":"Publisher Index Page"},{"id":341965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-17","publicationStatus":"PW","scienceBaseUri":"54faddbbe4b02419550db6df","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":541945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":541944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyte, Stephen P. 0000-0002-5462-3225 sboyte@usgs.gov","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":139238,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen","email":"sboyte@usgs.gov","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":541943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phuyal, Khem P.","contributorId":28517,"corporation":false,"usgs":true,"family":"Phuyal","given":"Khem","email":"","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541946,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70147947,"text":"70147947 - 2014 - Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities","interactions":[],"lastModifiedDate":"2015-05-08T16:55:20","indexId":"70147947","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities","docAbstract":"Conservation efforts for threatened or endangered species are challenging because the multi-scale factors that relate to their decline or inhibit their recovery are often unknown. To further exacerbate matters, the perceptions associated with the mechanisms of species decline are often viewed myopically rather than across the entire species range. We used over 80 years of fish presence data collected from the Great Plains and associated ecoregions of the United States, to investigate the relative influence of changing environmental factors on the historic and current truncated distributions of the Arkansas River shiner Notropis girardi. Arkansas River shiner represent a threatened reproductive ecotype considered especially well adapted to the harsh environmental extremes of the Great Plains. Historic (n = 163 records) and current (n = 47 records) species distribution models were constructed using a vector-based approach in MaxEnt by splitting the available data at a time when Arkansas River shiner dramatically declined. Discharge and stream order were significant predictors in both models; however, the shape of the relationship between the predictors and species presence varied between time periods. Drift distance (river fragment length available for ichthyoplankton downstream drift before meeting a barrier) was a more important predictor in the current model and indicated river segments 375–780 km had the highest probability of species presence. Performance for the historic and current models was high (area under the curve; AUC > 0.95); however, forecasting and backcasting to alternative time periods suggested less predictive power. Our results identify fragments that could be considered refuges for endemic plains fish species and we highlight significant environmental factors (e.g., discharge) that could be manipulated to aid recovery.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12329","usgsCitation":"Worthington, T.A., Brewer, S.K., Grabowski, T.B., and Mueller, J., 2014, Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities: Global Change Biology, v. 20, no. 1, p. 89-102, https://doi.org/10.1111/gcb.12329.","productDescription":"14 p.","startPage":"89","endPage":"102","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045497","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.9736328125,\n 34.052659421375964\n ],\n [\n -107.9736328125,\n 40.245991504199026\n ],\n [\n -91.49414062499999,\n 40.245991504199026\n ],\n [\n -91.49414062499999,\n 34.052659421375964\n ],\n [\n -107.9736328125,\n 34.052659421375964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-16","publicationStatus":"PW","scienceBaseUri":"554dde29e4b082ec54129f19","contributors":{"authors":[{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":546500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":546501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Julia","contributorId":140663,"corporation":false,"usgs":false,"family":"Mueller","given":"Julia","affiliations":[],"preferred":false,"id":546503,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156247,"text":"70156247 - 2014 - Modeling structured population dynamics using data from unmarked individuals","interactions":[],"lastModifiedDate":"2017-02-13T15:08:48","indexId":"70156247","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling structured population dynamics using data from unmarked individuals","docAbstract":"The study of population dynamics requires unbiased, precise estimates of abundance and vital rates that account for the demographic structure inherent in all wildlife and plant populations. Traditionally, these estimates have only been available through approaches that rely on intensive mark–recapture data. We extended recently developed N-mixture models to demonstrate how demographic parameters and abundance can be estimated for structured populations using only stage-structured count data. Our modeling framework can be used to make reliable inferences on abundance as well as recruitment, immigration, stage-specific survival, and detection rates during sampling. We present a range of simulations to illustrate the data requirements, including the number of years and locations necessary for accurate and precise parameter estimates. We apply our modeling framework to a population of northern dusky salamanders (Desmognathus fuscus) in the mid-Atlantic region (USA) and find that the population is unexpectedly declining. Our approach represents a valuable advance in the estimation of population dynamics using multistate data from unmarked individuals and should additionally be useful in the development of integrated models that combine data from intensive (e.g., mark–recapture) and extensive (e.g., counts) data sources.
Active long-path differential optical absorption spectroscopy (LP-DOAS) has been an effective tool for measuring atmospheric trace gases for several decades. However, instruments were large, heavy and power-inefficient, making their application to remote environments extremely challenging. Recent developments in fibre-coupling telescope technology and the availability of ultraviolet light emitting diodes (UV-LEDS) have now allowed us to design and construct a lightweight, portable, low-power LP-DOAS instrument for use at remote locations and specifically for measuring degassing from active volcanic systems. The LP-DOAS was used to measure sulfur dioxide (SO2) emissions from La Fossa crater, Vulcano, Italy, where column densities of up to 1.2 × 1018 molec cm−2 (~ 500 ppmm) were detected along open paths of up to 400 m in total length. The instrument's SO2 detection limit was determined to be 2 × 1016 molec cm−2 (~ 8 ppmm), thereby making quantitative detection of even trace amounts of SO2 possible. The instrument is capable of measuring other volcanic volatile species as well. Though the spectral evaluation of the recorded data showed that chlorine monoxide (ClO) and carbon disulfide (CS2) were both below the instrument's detection limits during the experiment, the upper limits for the X / SO2 ratio (X = ClO, CS2) could be derived, and yielded 2 × 10−3 and 0.1, respectively. The robust design and versatility of the instrument make it a promising tool for monitoring of volcanic degassing and understanding processes in a range of volcanic systems.
The Great Lakes Restoration Initiative (GLRI) projects currently taking place in Great Lakes coastal wetlands provide a unique opportunity to study ecosystem response to management actions as practitioners strive to improve wetland function and increase ecosystem services. Through a partnership between the U.S. Geological Survey – Great Lakes Science Center (GLSC), U.S. Fish and Wildlife Service (USFWS), and Ducks Unlimited, a GLRI-funded project has reestablished the hydrologic connection between an intensively managed impounded wetland (Pool 2B) and Crane Creek, a small Lake Erie tributary, by building a water-control structure that was opened in the spring of 2011. The study site is located within the USFWS Ottawa National Wildlife Refuge (ONWR) and lies within the boundaries of the U.S. Environmental Protection Agency (EPA)-designated Maumee River Area of Concern. The broad objective of the project is to evaluate how hydrologically reconnecting a previously diked wetland impacts fish, mollusks, and other biota and affects nutrient transport, nutrient cycling, water quality, flood storage, and many other abiotic conditions. The results from this project suggest large system-wide benefits from sustainable reestablishment of lake-driven hydrology in this and other similar systems.
We comprehensively sampled water chemistry, fish, birds, plants, and invertebrates in Crane Creek coastal wetlands, Pool 2A (a reference diked wetland), and Pool 2B (the reconnected wetland) in 2010 and 2011 to:
1) Characterize spatial and seasonal patterns for these parameters.
2) Examine ecosystem response to the opening of a water-control structure that allows fish passage
Our sampling efforts have yielded data that reveal striking changes in water quality, hydrology, and fish assemblages in our experimental unit (2B). Prior to the reconnection, the water chemistry in pools 2A and 2B were very similar. Afterwards, we found that the water chemistry in reconnected Pool 2B was more similar to Crane Creek (e.g., greater turbidity, higher concentration of nitrogen). Sites closest to the structure showed the most creek influence with that influence decreasing with distance from the structure, suggesting that input water from Crane Creek is not mixing fully with the pool water. We also found that water level fluctuations were much greater in the reconnected wetland due to the influence of seiches in Lake Erie. We measured the nutrient concentrations of water flowing into and out of Pool 2B during seiche events and found that the phosphorous and nitrogen concentrations generally were drastically reduced after pulsing through the reconnected wetland. Fish response to the reconnection was equally striking. High-resolution sonar revealed extensive bidirectional movement of fish through the structure on a daily and seasonal basis. There also were significant increases in both the catch per unit effort (CPUE) and the species richness of all sites in Pool 2B from 2010 to 2011. Reconnecting the diked pool to the larger Crane Creek wetland complex, and therefore Lake Erie, has opened up rich new habitat for many fish species. Thirteen species of fish not previously found in the pool entered through the structure and actively used the reconnected wetland. We also found that the wetland functions as a productive spawning ground and nursery area with notable shifts in the predominant age-class of several species of fish, especially northern pike. We observed no negative effects of reconnection on the avian or vegetative communities. All sites within the connected pool had increases in diversity and abundance in the avian community and decreases in the species richness and Floristic Quality Assessment Index values for vegetative communities. After one year of study, data suggest that maintaining a hydrologic connection between diked and coastal wetlands in Lake Erie allows fishes to use vegetated habitats regularly, reduces the concentration of nutrients in coastal waters, and maintains productive habitats for birds and other biota. It will be important to continue to monitor the status of the reconnected wetland to determine the effect of long-term connection to Crane Creek and Lake Erie. If conditions degrade, periodic management actions involving hydrologic isolation of the rehabilitated coastal wetland could be used to mimic intermediate levels of disturbance and maintain wetland vegetation.
","publisher":"Great Lakes Science Center","usgsCitation":"Kowalski, K., Wiley, M., Wilcox, D.A., Carlson Mazur, M.L., Czayka, A., Dominguez, A., Doty, S., Eggleston, M., Green, S., and Sweetman, A., 2014, 2011 Summary: Coastal wetland restoration research, 65 p.","productDescription":"65 p.","ipdsId":"IP-040652","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295008,"type":{"id":11,"text":"Document"},"url":"https://www.fws.gov/refuge/Ottawa/what_we_do/resource_management.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006065e4b0e85db3a5ddf1","contributors":{"authors":[{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":519710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiley, Michael J.","contributorId":73942,"corporation":false,"usgs":false,"family":"Wiley","given":"Michael J.","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":692726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcox, Douglas A.","contributorId":36880,"corporation":false,"usgs":true,"family":"Wilcox","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson Mazur, Martha L.","contributorId":95377,"corporation":false,"usgs":true,"family":"Carlson Mazur","given":"Martha","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":692728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Czayka, Alex","contributorId":191324,"corporation":false,"usgs":false,"family":"Czayka","given":"Alex","email":"","affiliations":[],"preferred":false,"id":692729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dominguez, Andrea","contributorId":191325,"corporation":false,"usgs":false,"family":"Dominguez","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":692730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doty, Susan","contributorId":191326,"corporation":false,"usgs":false,"family":"Doty","given":"Susan","email":"","affiliations":[],"preferred":false,"id":692731,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eggleston, Mike","contributorId":191327,"corporation":false,"usgs":false,"family":"Eggleston","given":"Mike","email":"","affiliations":[],"preferred":false,"id":692732,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Green, Sean","contributorId":191328,"corporation":false,"usgs":false,"family":"Green","given":"Sean","email":"","affiliations":[],"preferred":false,"id":692733,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sweetman, Amanda","contributorId":191329,"corporation":false,"usgs":false,"family":"Sweetman","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":692734,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70047698,"text":"70047698 - 2014 - Stable occupancy by breeding hawks (Buteo spp.) over 25 years on a privately managed bunchgrass prairie in northeastern Oregon, USA","interactions":[],"lastModifiedDate":"2016-07-12T10:47:13","indexId":"70047698","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Stable occupancy by breeding hawks (Buteo spp.) over 25 years on a privately managed bunchgrass prairie in northeastern Oregon, USA","docAbstract":"Potential for large prairie remnants to provide habitat for grassland-obligate wildlife may be compromised by nonsustainable range-management practices. In 1979–1980, high nesting densities of 3 species of hawks in the genus Buteo—Ferruginous Hawk (Buteo regalis), Red-tailed Hawk (B. jamaicensis), and Swainson's Hawk (B. swainsoni)—were documented on the Zumwalt Prairie and surrounding agricultural areas (34,361 ha) in northeastern Oregon, USA. This area has been managed primarily as livestock summer range since it was homesteaded. Unlike in other prairie remnants, land management on the Zumwalt Prairie was consistent over the past several decades; thus, we predicted that territory occupancy of these 3 species would be stable. We also predicted that territory occupancy would be positively related to local availability of nesting structures within territories. We evaluated these hypotheses using a historical dataset, current survey and habitat data, and occupancy models. In support of our predictions, territory occupancy of all 3 species has not changed over the study period of ∼25 yr, which suggests that local range-management practices are not negatively affecting these taxa. Probability of Ferruginous Hawk occupancy increased with increasing area of aspen, an important nest structure for this species in grasslands. Probability of Swainson's Hawk occupancy increased with increasing area of large shrubs, and probability of Red-tailed Hawk occupancy was weakly associated with area of conifers. In the study area, large shrubs and conifers are commonly used as nesting structures by Swainson's Hawks and Red-tailed Hawks, respectively. Availability of these woody species is changing (increases in conifers and large shrubs, and decline in aspen) throughout the west, and these changes may result in declines in Ferruginous Hawk occupancy and increases in Swainson's Hawk and Red-tailed Hawk occupancy in the future.
","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-12-174.1","usgsCitation":"Kennedy, P.L., Bartuszevige, A.M., Houle, M., Humphrey, A.B., Dugger, K.M., and Williams, J., 2014, Stable occupancy by breeding hawks (Buteo spp.) over 25 years on a privately managed bunchgrass prairie in northeastern Oregon, USA: The Condor, v. 116, no. 3, p. 435-445, https://doi.org/10.1650/CONDOR-12-174.1.","productDescription":"11 p.","startPage":"435","endPage":"445","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042226","costCenters":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":325089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dd03be4b0589fa1cbde45","contributors":{"authors":[{"text":"Kennedy, Patricia L.","contributorId":172826,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patricia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":642201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartuszevige, Anne M.","contributorId":172827,"corporation":false,"usgs":false,"family":"Bartuszevige","given":"Anne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":642202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houle, Marcy","contributorId":172828,"corporation":false,"usgs":false,"family":"Houle","given":"Marcy","email":"","affiliations":[],"preferred":false,"id":642203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Humphrey, Ann B.","contributorId":172829,"corporation":false,"usgs":false,"family":"Humphrey","given":"Ann","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":642204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":518124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, John","contributorId":23842,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","affiliations":[],"preferred":false,"id":642205,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70161758,"text":"70161758 - 2014 - Estimating structural collapse fragility of generic building typologies using expert judgment","interactions":[],"lastModifiedDate":"2021-10-13T16:26:50.090642","indexId":"70161758","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating structural collapse fragility of generic building typologies using expert judgment","docAbstract":"The structured expert elicitation process proposed by Cooke (1991), \nhereafter referred to as Cooke’s approach, is applied for the first time \nin the realm of structural collapse-fragility assessment for selected generic \nconstruction types. Cooke’s approach works on the principle of objective \ncalibration scoring of judgments coupled with hypothesis testing used in classical\n statistics. The performance-based scoring system reflects the combined \nmeasure of an expert’s informativeness about variables in the problem area \nunder consideration, and their ability to enumerate, in a statistically accurate \nway through expressing their true beliefs, the quantitative uncertainties \nassociated with their assessments. We summarize the findings of an expert \nelicitation workshop in which a dozen earthquake-engineering professionals\n from around the world were engaged to estimate seismic collapse fragility for\n generic construction types. Development of seismic collapse fragility \nfunctions was accomplished by combining their judgments using weights \nderived from Cooke’s method. Although substantial effort was needed to\n elicit the inputs of these experts successfully, we anticipate that the elicitation\n strategy described here will gain momentum in a wide variety of earthquake \nseismology and engineering hazard and risk analyses where physical model \nand data limitations are inherent and objective professional judgment can fill \ngaps.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Safety, reliability, risk, and life-cycle performance of structures and infrastructures","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"1th International Conference on Structural Safety and Reliability (ICOSSAR2013)","conferenceDate":"June 16-20, 2013","conferenceLocation":"New York, NY","language":"English","publisher":"CRC Press","doi":"10.1201/b16387-130","isbn":"9781138000865","usgsCitation":"Jaiswal, K., Perkins, D., Wald, D., Aspinall, W.P., and Kiremidjian, A.S., 2014, Estimating structural collapse fragility of generic building typologies using expert judgment, in Safety, reliability, risk, and life-cycle performance of structures and infrastructures, New York, NY, June 16-20, 2013, p. 879-886, https://doi.org/10.1201/b16387-130.","productDescription":"8 p.","startPage":"879","endPage":"886","ipdsId":"IP-045829","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-13","publicationStatus":"PW","scienceBaseUri":"58fdbd18e4b0074928294487","contributors":{"editors":[{"text":"Deodatis, George","contributorId":191242,"corporation":false,"usgs":false,"family":"Deodatis","given":"George","email":"","affiliations":[],"preferred":false,"id":692458,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ellingwood, Bruce R.","contributorId":44446,"corporation":false,"usgs":true,"family":"Ellingwood","given":"Bruce","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":692459,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Frangopol, Dan M.","contributorId":191243,"corporation":false,"usgs":false,"family":"Frangopol","given":"Dan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":692460,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Jaiswal, Kishor S. kjaiswal@usgs.gov","contributorId":145925,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor S.","email":"kjaiswal@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":692461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":692462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, D.","contributorId":83589,"corporation":false,"usgs":true,"family":"Perkins","given":"D.","affiliations":[],"preferred":false,"id":692463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aspinall, W. P.","contributorId":82077,"corporation":false,"usgs":true,"family":"Aspinall","given":"W.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":692464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiremidjian, Anne S.","contributorId":60649,"corporation":false,"usgs":true,"family":"Kiremidjian","given":"Anne","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":692465,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70117792,"text":"70117792 - 2014 - Predicting Impacts of tropical cyclones and sea-Level rise on beach mouse habitat","interactions":[],"lastModifiedDate":"2015-01-16T16:27:23","indexId":"70117792","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting Impacts of tropical cyclones and sea-Level rise on beach mouse habitat","docAbstract":"Alabama beach mouse (ABM) (Peromyscus polionotus ammobates) is an important component of the coastal dune ecosystem along the Gulf of Mexico. Due to habitat loss and degradation, ABM is federally listed as an endangered species. In this study, we examined the impacts of storm surge and wind waves, which are induced by hurricanes and sea-level rise (SLR), on the ABM habitat on Fort Morgan Peninsula, Alabama, using advanced storm surge and wind wave models and spatial analysis tools in geographic information systems (GIS). Statistical analyses of the long-term historical data enabled us to predict the extreme values of winds, wind waves, and water levels in the study area at different return periods. We developed a series of nested domains for both wave and surge modeling and validated the models using field observations of surge hydrographs and high watermarks of Hurricane Ivan (2004). We then developed wave atlases and flood maps corresponding to the extreme wind, surge and waves without SLR and with a 0.5 m of SLR by coupling the wave and surge prediction models. The flood maps were then merged with a map of ABM habitat to determine the extent and location of habitat impacted by the 100-year storm with and without SLR. Simulation results indicate that more than 82% of ABM habitat would be inundated in such an extreme storm event, especially under SLR, making ABM populations more vulnerable to future storm damage. These results have aided biologists, community planners, and other stakeholders in the identification, restoration and protection of key beach mouse habitat in Alabama. Methods outlined in this paper could also be used to assist in the conservation and recovery of imperiled coastal species elsewhere.
","doi":"10.2112/SI68-002.1","usgsCitation":"Chen, Q., Wang, H., Wang, L., Tawes, R., and Rollman, D., 2014, Predicting Impacts of tropical cyclones and sea-Level rise on beach mouse habitat: Journal of Coastal Research, v. 68, p. 12-19, https://doi.org/10.2112/SI68-002.1.","productDescription":"8 p.","startPage":"12","endPage":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057038","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":297361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Fort Morgan Peninsula","volume":"68","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2c29e4b08de9379b3679","contributors":{"authors":[{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":519117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":4421,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":519116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Lixia","contributorId":118439,"corporation":false,"usgs":false,"family":"Wang","given":"Lixia","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":519120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tawes, Robert","contributorId":116795,"corporation":false,"usgs":false,"family":"Tawes","given":"Robert","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":519118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rollman, Drew","contributorId":117214,"corporation":false,"usgs":false,"family":"Rollman","given":"Drew","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":519119,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70100896,"text":"70100896 - 2014 - Modeling the hydrogeophysical response of lake talik evolution ","interactions":[],"lastModifiedDate":"2018-02-28T11:39:28","indexId":"70100896","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling the hydrogeophysical response of lake talik evolution ","docAbstract":"Geophysical methods provide valuable information about subsurface permafrost and its relation to dynamic hydrologic systems. Airborne electromagnetic data from interior Alaska are used to map the distribution of permafrost, geological features, surface water, and groundwater. To validate and gain further insight into these field datasets, we also explore the geophysical response to hydrologic simulations of permafrost evolution by implementing a physical property relationship that connects geology, temperature, and ice saturation to changes in electrical properties.
We investigate the geometry and width of the southernmost stretch of the San Andreas Fault zone using new gravity and magnetic data along line 7 of the Salton Seismic Imaging Project. In the Salt Creek area of Durmid Hill, the San Andreas Fault coincides with a complex magnetic signature, with high-amplitude, short-wavelength magnetic anomalies superposed on a broader magnetic anomaly that is at least 5 km wide centered 2–3 km northeast of the fault. Marine magnetic data show that high-frequency magnetic anomalies extend more than 1 km west of the mapped trace of the San Andreas Fault. Modeling of magnetic data is consistent with a moderate to steep (> 50 degrees) northeast dip of the San Andreas Fault, but also suggests that the sedimentary sequence is folded west of the fault, causing the short wavelength of the anomalies west of the fault. Gravity anomalies are consistent with the previously modeled seismic velocity structure across the San Andreas Fault. Modeling of gravity data indicates a steep dip for the San Andreas Fault, but does not resolve unequivocally the direction of dip. Gravity data define a deeper basin, bounded by the Powerline and Hot Springs Faults, than imaged by the seismic experiment. This basin extends southeast of Line 7 for nearly 20 km, with linear margins parallel to the San Andreas Fault. These data suggest that the San Andreas Fault zone is wider than indicated by its mapped surface trace.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Not a drop left to drink","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2014 Desert Symposium","conferenceDate":"April 2014","language":"English","publisher":"California State University Desert Studies Center","publisherLocation":"Fullerton, CA","usgsCitation":"Langenheim, V., Athens, N.D., Scheirer, D., Fuis, G.S., Rymer, M.J., and Goldman, M.R., 2014, Width and dip of the southern San Andreas Fault at Salt Creek from modeling of geophysical data, in Not a drop left to drink, April 2014, p. 83-93.","productDescription":"11 p.","startPage":"83","endPage":"93","ipdsId":"IP-054142","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313214,"type":{"id":15,"text":"Index Page"},"url":"https://nsm.fullerton.edu/dsc/desert-studies-center-additional-information"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fdbd19e4b0074928294489","contributors":{"editors":[{"text":"Reynolds, Robert E.","contributorId":113220,"corporation":false,"usgs":true,"family":"Reynolds","given":"Robert E.","affiliations":[],"preferred":false,"id":692466,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Athens, Noah D. nathens@usgs.gov","contributorId":4866,"corporation":false,"usgs":true,"family":"Athens","given":"Noah","email":"nathens@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheirer, Daniel S. dscheirer@usgs.gov","contributorId":2325,"corporation":false,"usgs":true,"family":"Scheirer","given":"Daniel S.","email":"dscheirer@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuis, Gary S. 0000-0002-3078-1544 fuis@usgs.gov","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":2639,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"fuis@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":584148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rymer, Michael J. mrymer@usgs.gov","contributorId":1522,"corporation":false,"usgs":true,"family":"Rymer","given":"Michael","email":"mrymer@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":584149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":584150,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173923,"text":"70173923 - 2014 - Using lead isotopes and trace element records from two contrasting Lake Tanganyika sediment cores to assess watershed – Lake exchange","interactions":[],"lastModifiedDate":"2016-06-16T12:55:33","indexId":"70173923","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Using lead isotopes and trace element records from two contrasting Lake Tanganyika sediment cores to assess watershed – Lake exchange","docAbstract":"Lead isotopic and trace element records of two contrasting sediment cores were examined to reconstruct historic, industrial contaminant inputs to Lake Tanganyika, Africa. Observed fluxes of Co, Cu, Mn, Ni, Pb, and Zn in age-dated sediments collected from the lake varied both spatially and temporally over the past two to four centuries. The fluxes of trace elements were lower (up to 10-fold) at a mid-lake site (MC1) than at a nearshore site (LT-98-58), which is directly downstream from the Kahama and Nyasanga River watersheds and adjacent to the relatively pristine Gombe Stream National Park. Trace element fluxes at that nearshore site did not measurably change over the last two centuries (1815–1998), while the distal, mid-lake site exhibited substantial changes in the fluxes of trace elements – likely caused by changes in land use – over that period. For example, the flux of Pb increased by ∼300% from 1871 to 1991. That apparent accelerated weathering and detrital mobilization of lithogenic trace elements was further evidenced by (i) positive correlations (r = 0.77–0.99, p < 0.05) between the fluxes of Co, Cu, Mn, Ni, Pb, and Zn and those of iron (Fe) at both sites, (ii) positive correlations (r = 0.82–0.98, p < 0.01, n = 9) between the fluxes of elements (Al, Co, Cu, Fe, Mn, Ni, Pb, and Zn) and the mass accumulation rates at the offshore site, (iii) the low enrichment factors (EF < 5) of those trace elements, and (iv) the temporal consistencies of the isotopic composition of Pb in the sediment. These measurements indicate that accelerated weathering, rather than industrialization, accounts for most of the increases in trace element fluxes to Lake Tanganyika in spite of the development of mining and smelting operations within the lake’s watershed over the past century. The data also indicate that the mid-lake site is a much more sensitive and useful recorder of environmental changes than the nearshore site. Furthermore, the lead isotopic compositions of sediment at the sites differed spatially, indicating that the Pb (and other trace elements by association) originated from different natural sources at the two locations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.10.007","collaboration":"UCSC","usgsCitation":"Odigie, K., Cohen, A., Swarzenski, P.W., and Flegal, R., 2014, Using lead isotopes and trace element records from two contrasting Lake Tanganyika sediment cores to assess watershed – Lake exchange: Applied Geochemistry, v. 51, p. 184-190, https://doi.org/10.1016/j.apgeochem.2014.10.007.","productDescription":"7 p.","startPage":"184","endPage":"190","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061814","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473274,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1556267","text":"Publisher Index Page"},{"id":323744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":323743,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S088329271400239X"}],"country":"Burundi, Democratic Republic of the Congo, Tanzania, Zambia","otherGeospatial":"Lake Tanganyika","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 28.7841796875,\n -3.359889094873377\n ],\n [\n 29.619140624999996,\n -3.381823735328289\n ],\n [\n 30.05859375,\n -6.0968598188879355\n ],\n [\n 30.454101562499996,\n -6.446317749457633\n ],\n [\n 30.73974609375,\n -6.970049417296218\n ],\n [\n 30.761718749999996,\n -7.38425782830926\n ],\n [\n 31.376953125,\n -8.428904092875392\n ],\n [\n 31.113281249999996,\n -8.993600464280018\n ],\n [\n 30.25634765625,\n -8.537565350804018\n ],\n [\n 29.99267578125,\n -7.427836528738325\n ],\n [\n 28.916015625,\n -6.18424616128059\n ],\n [\n 29.113769531250004,\n -5.637852598770853\n ],\n [\n 28.872070312500004,\n -5.069057826784033\n ],\n [\n 28.937988281249996,\n -4.477856485570586\n ],\n [\n 28.7841796875,\n -3.359889094873377\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5763cdbae4b07657d19ba79e","contributors":{"authors":[{"text":"Odigie, Kingsley","contributorId":172016,"corporation":false,"usgs":false,"family":"Odigie","given":"Kingsley","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":639350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, A.D.","contributorId":38717,"corporation":false,"usgs":true,"family":"Cohen","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":639351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":639349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flegal, R","contributorId":172017,"corporation":false,"usgs":false,"family":"Flegal","given":"R","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":639352,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174743,"text":"70174743 - 2014 - USGS reservoir and lake gage network: Elevation and volumetric contents data, and their uses","interactions":[],"lastModifiedDate":"2016-08-08T13:32:24","indexId":"70174743","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2593,"text":"Lakeline","active":true,"publicationSubtype":{"id":10}},"title":"USGS reservoir and lake gage network: Elevation and volumetric contents data, and their uses","docAbstract":"In December of 2013, the U.S. Geological Survey (USGS) marked the 125th anniversary of the installation of its first official water level and streamflow gage, on the Rio Grande at Embudo, New Mexico. The gage was installed because it was recognized that water data were important to expanding irrigation needs. The USGS is a federal agency that provides nationally consistent and unbiased surface-water elevation and streamflow data at more than 10,000 gaging locations in the United States, about 330 of which are lakes and reservoirs (referred to hereafter as lakes) (Figure 1). The job of quantifying water resources, whether lakes, streams, or aquifers, is fundamental to proper water management and conservation of resources.
","language":"English","publisher":"North American Lake Management Society","usgsCitation":"Kroska, A.C., 2014, USGS reservoir and lake gage network: Elevation and volumetric contents data, and their uses: Lakeline, v. Spring 2014, p. 8-12.","productDescription":"5 p.","startPage":"8","endPage":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053456","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":326236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326235,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nalms.org/home/publications/lakeline-magazine/magazines.cmsx"}],"volume":"Spring 2014","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad73e4b05e859bdfbb22","contributors":{"authors":[{"text":"Kroska, Anita C. akroska@usgs.gov","contributorId":5596,"corporation":false,"usgs":true,"family":"Kroska","given":"Anita","email":"akroska@usgs.gov","middleInitial":"C.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642554,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70176184,"text":"70176184 - 2014 - The impact of climate and reservoirs on longitudinal riverine carbon fluxes from two major watersheds in the Central and Intermontane West","interactions":[],"lastModifiedDate":"2017-02-13T15:03:28","indexId":"70176184","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"The impact of climate and reservoirs on longitudinal riverine carbon fluxes from two major watersheds in the Central and Intermontane West","docAbstract":"A nested sampling network on the Colorado (CR) and Missouri Rivers (MR) provided data to assess impacts of large-scale reservoir systems and climate on carbon export. The Load Estimator (LOADEST) model was used to estimate both dissolved inorganic and organic carbon (DIC and DOC) fluxes for a total of 22 sites along the main stems of the CR and MR. Both the upper CR and MR DIC and DOC fluxes increased longitudinally, but the lower CR fluxes decreased while the lower MRs continued to increase. We examined multiple factors through space and time that help explain these flux patterns. Seasonal variability in precipitation and temperature, along with site-level concentration versus discharge relationships proved to be significant factors explaining much of the difference among sites located below reservoirs as compared to sites located in more free-flowing segments of the river. The characterization of variability in carbon exports over space and time provides a basis for understanding carbon cycling and transport within river basins affected by large reservoir systems, particular in arid-to semi-arid ecosystems.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2013JG002496","usgsCitation":"Stackpoole, S.M., Stets, E., and Striegl, R.G., 2014, The impact of climate and reservoirs on longitudinal riverine carbon fluxes from two major watersheds in the Central and Intermontane West: Journal of Geophysical Research: Biogeosciences, v. 119, no. 5, p. 848-863, https://doi.org/10.1002/2013JG002496.","productDescription":"16 p.","startPage":"848","endPage":"863","ipdsId":"IP-051052","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jg002496","text":"Publisher Index Page"},{"id":328146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-20","publicationStatus":"PW","scienceBaseUri":"57c7ffbfe4b0f2f0cebfc33e","contributors":{"authors":[{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stets, Edward G. estets@usgs.gov","contributorId":174182,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","email":"estets@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":647647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":647648,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160725,"text":"70160725 - 2014 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013","interactions":[],"lastModifiedDate":"2016-10-20T10:06:45","indexId":"70160725","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013","docAbstract":"In 2013, the U.S. Geological Survey’s Lake Erie Biological Station successfully completed large vessel surveys in all three of Lake Erie’s basins. Lake Erie Biological Station’s primary vessel surveys included the Western Basin Forage Fish Assessment and East Harbor Forage Fish Assessment as well as contributing to the cooperative multi-agency Central Basin Hydroacoustics Assessment and the Eastern Basin Coldwater Community Assessment (see Forage Task Group and Coldwater Task Group reports, respectively). Further large vessel sampling included individual research data collection as well as assisting with University (e.g., University of Toledo) and agency (e.g., USFWS, USEPA) large vessel sampling needs. Our 2013 vessel operations began on April 4th and concluded on November 21 with a total of 77 large vessel sampling days (83 total days). During this time, crews of the R/V Muskie and R/V Bowfin deployed 174 trawls covering 147 km of lake-bottom, over 13 km of gillnet, collected hydroacoustic data that extended over 250 km of the central and eastern basins, and approximately 180 collective zooplankton, benthos, and water samples.
2013 was the first complete sampling year using the R/V Muskie. Technologies available on the new platform provided opportunities for LEBS to improve data sampling methods and results. An investment was made in mensuration gear for the trawls. This gear is attached to the trawl’s headrope, footrope, and wings; thus, allowing measurement of the area swept and conversion of catches to densities. Another improvement included real-time output of water parameter sonde profiles (e.g., temperature, dissolved oxygen). The ability to view profile data on a tablet allowed quick identification of thermoclines as well as the presence (or absence) of hypoxia. Minor modifications were made to survey designs relative to last year (see 2013 report), and thus, collection of long-term data from the R/V Muskie has commenced. One minor change was that we are now indexing yellow perch maturation data during our fall trawl surveys in response to a request from the Lake Erie Yellow Perch Task Group. Within the following sections, we describe results from our 2013 sampling efforts in Lake Erie.
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