Fibropapillomatosis (FP), a debilitating tumor disease of sea turtles, was first identified in green turtles [Chelonia mydas (Linnaeus, 1758)] in Florida in 1938. In recent decades, FP has been observed globally and is an emerging panzootic disease in sea turtles. However, few reports of FP in Asia exist. Here, we provide the first evidence of Chelonid herpesvirus 5 (ChHV5) DNA associated with FP in endangered green turtles from Taiwan, through molecular characterization, phylogenetic analysis, and histopathological examination. In our study, ChHV5 was successfully detected by PCR in the FP tumor lesions of green turtles. The sequences were found to be consistent with those of tumor-inducing viruses shown to affect sea turtles in the other parts of the world. ChHV5 RNA from the FP tissues was further detected by RT-PCR, indicating active replication of the viruses inside FP tumors. In addition to the molecular evidence of ChHV5 in FP, epidermal intranuclear inclusions were identified in tumor lesions upon histopathological examination. This further suggests that ChHV5 should be in a transcriptionally active (i.e., non-latent) state in FP tumors of affected green turtles. The phylogenetic tree revealed that ChHV5 from the green turtles in Taiwan were closest to the ChHV5 from Hawaii, Puerto Rico, and Sao Tome. For conservation of endangered sea turtles, ChHV5 should be considered an emerging virus, which threatens sea turtles in marine waters in Asia.
","language":"English","publisher":"University of Miami - Rosenstiel School of Marine and Atmospheric Science","doi":"10.5343/bms.2017.1018","usgsCitation":"Li, T., Hsu, W., Lan, Y., Balazs, G.H., Work, T.M., Tseng, C., and Chang, C., 2017, Identification of Chelonid herpesvirus 5 (ChHV5) in endangered green turtles (Chelonia mydas) with fibropapillomatosis in Asia: Bulletin of Marine Science, v. 93, no. 4, p. 1011-1022, https://doi.org/10.5343/bms.2017.1018.","productDescription":"12 p.","startPage":"1011","endPage":"1022","ipdsId":"IP-084571","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":346334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d35026e4b05fe04cc34d4f","contributors":{"authors":[{"text":"Li, Tsung-Hsien","contributorId":196784,"corporation":false,"usgs":false,"family":"Li","given":"Tsung-Hsien","email":"","affiliations":[],"preferred":false,"id":711613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hsu, Wei-Li","contributorId":196785,"corporation":false,"usgs":false,"family":"Hsu","given":"Wei-Li","email":"","affiliations":[],"preferred":false,"id":711614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lan, Yu-Ching","contributorId":196786,"corporation":false,"usgs":false,"family":"Lan","given":"Yu-Ching","email":"","affiliations":[],"preferred":false,"id":711615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":711616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":711612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tseng, Cheng-Tsung","contributorId":196787,"corporation":false,"usgs":false,"family":"Tseng","given":"Cheng-Tsung","email":"","affiliations":[],"preferred":false,"id":711617,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chang, Chao-Chin","contributorId":196788,"corporation":false,"usgs":false,"family":"Chang","given":"Chao-Chin","email":"","affiliations":[],"preferred":false,"id":711618,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191271,"text":"70191271 - 2017 - Detection and characterization of pulses in broadband seismometers","interactions":[],"lastModifiedDate":"2017-10-02T18:00:51","indexId":"70191271","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Detection and characterization of pulses in broadband seismometers","docAbstract":"Pulsing - caused either by mechanical or electrical glitches, or by microtilt local to a seismometer - can significantly compromise the long‐period noise performance of broadband seismometers. High‐fidelity long‐period recordings are needed for accurate calculation of quantities such as moment tensors, fault‐slip models, and normal‐mode measurements. Such pulses have long been recognized in accelerometers, and methods have been developed to correct these acceleration steps, but considerable work remains to be done in order to detect and correct similar pulses in broadband seismic data. We present a method for detecting and characterizing the pulses using data from a range of broadband sensor types installed in the Global Seismographic Network. The technique relies on accurate instrument response removal and employs a moving‐window approach looking for acceleration baseline shifts. We find that pulses are present at varying levels in all sensor types studied. Pulse‐detection results compared with average daily station noise values are consistent with predicted noise levels of acceleration steps. This indicates that we can calculate maximum pulse amplitude allowed per time window that would be acceptable without compromising long‐period data analysis.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170089","usgsCitation":"Wilson, D.C., Ringler, A.T., and Hutt, C.R., 2017, Detection and characterization of pulses in broadband seismometers: Bulletin of the Seismological Society of America, v. 107, no. 4, p. 1173-1180, https://doi.org/10.1785/0120170089.","productDescription":"8 p.","startPage":"1173","endPage":"1180","ipdsId":"IP-085630","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"59d35024e4b05fe04cc34d42","contributors":{"authors":[{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711806,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191251,"text":"70191251 - 2017 - Increased pheromone signaling by small male sea lamprey has distinct effects on female mate search and courtship","interactions":[],"lastModifiedDate":"2017-10-02T14:13:37","indexId":"70191251","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":982,"text":"Behavioral Ecology and Sociobiology","active":true,"publicationSubtype":{"id":10}},"title":"Increased pheromone signaling by small male sea lamprey has distinct effects on female mate search and courtship","docAbstract":"Male body size affects access to mates in many animals. Attributes of sexual signals often correlate with body size due to physiological constraints on signal production. Larger males generally produce larger signals, but costs of being large or compensation by small males can result in smaller males producing signals of equal or greater magnitude. Female choice following multiple male traits with different relationships to size might further complicate the effect of male body size on access to mates. We report the relationship between male body size and pheromone signaling, and the effects on female mate search and courtship in the sea lamprey (Petromyzon marinus). We predicted that pheromone production in the liver and the liver mass to body mass ratio would remain constant across sizes, resulting in similar mass-adjusted pheromone release rates across sizes but a positive relationship between absolute pheromone release and body mass. Our results confirmed positive relationships between body mass and liver mass, and liver mass and the magnitude of the pheromone signal. Surprisingly, decreasing body mass was correlated with higher pheromone concentrations in the liver, liver mass to body mass ratios, and mass-adjusted pheromone release rates. In a natural stream, females more often entered nests treated with small versus large male odors. However, close-proximity courtship behaviors were similar in nests treated with small or large male odors. We conclude that small males exhibit increased release of the main pheromone component, but female discrimination of male pheromones follows several axes of variation with different relationships to size.
","language":"English","publisher":"Springer","doi":"10.1007/s00265-017-2384-3","usgsCitation":"Buchinger, T.J., Bussy, U., Buchinger, E.G., Fissette, S.D., Li, W., and Johnson, N., 2017, Increased pheromone signaling by small male sea lamprey has distinct effects on female mate search and courtship: Behavioral Ecology and Sociobiology, v. 71, Article 155, https://doi.org/10.1007/s00265-017-2384-3.","productDescription":"Article 155","ipdsId":"IP-088363","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":346323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-30","publicationStatus":"PW","scienceBaseUri":"59d35025e4b05fe04cc34d48","contributors":{"authors":[{"text":"Buchinger, Tyler J.","contributorId":40508,"corporation":false,"usgs":true,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bussy, Ugo","contributorId":150993,"corporation":false,"usgs":false,"family":"Bussy","given":"Ugo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":711684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buchinger, Ethan G.","contributorId":196815,"corporation":false,"usgs":false,"family":"Buchinger","given":"Ethan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":711685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fissette, Skye D.","contributorId":150994,"corporation":false,"usgs":false,"family":"Fissette","given":"Skye","email":"","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":711686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":711687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":711682,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191268,"text":"70191268 - 2017 - Model parameters for representative wetland plant functional groups","interactions":[],"lastModifiedDate":"2017-10-08T12:16:12","indexId":"70191268","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Model parameters for representative wetland plant functional groups","docAbstract":"Wetlands provide a wide variety of ecosystem services including water quality remediation, biodiversity refugia, groundwater recharge, and floodwater storage. Realistic estimation of ecosystem service benefits associated with wetlands requires reasonable simulation of the hydrology of each site and realistic simulation of the upland and wetland plant growth cycles. Objectives of this study were to quantify leaf area index (LAI), light extinction coefficient (k), and plant nitrogen (N), phosphorus (P), and potassium (K) concentrations in natural stands of representative plant species for some major plant functional groups in the United States. Functional groups in this study were based on these parameters and plant growth types to enable process-based modeling. We collected data at four locations representing some of the main wetland regions of the United States. At each site, we collected on-the-ground measurements of fraction of light intercepted, LAI, and dry matter within the 2013–2015 growing seasons. Maximum LAI and k variables showed noticeable variations among sites and years, while overall averages and functional group averages give useful estimates for multisite simulation modeling. Variation within each species gives an indication of what can be expected in such natural ecosystems. For P and K, the concentrations from highest to lowest were spikerush (Eleocharis macrostachya), reed canary grass (Phalaris arundinacea), smartweed (Polygonum spp.), cattail (Typha spp.), and hardstem bulrush (Schoenoplectus acutus). Spikerush had the highest N concentration, followed by smartweed, bulrush, reed canary grass, and then cattail. These parameters will be useful for the actual wetland species measured and for the wetland plant functional groups they represent. These parameters and the associated process-based models offer promise as valuable tools for evaluating environmental benefits of wetlands and for evaluating impacts of various agronomic practices in adjacent areas as they affect wetlands.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1958","usgsCitation":"Williams, A.S., Kiniry, J.R., Mushet, D.M., Smith, L., McMurry, S.T., Attebury, K., Lang, M., McCarty, G.W., Shaffer, J.A., Effland, W.R., and Johnson, M., 2017, Model parameters for representative wetland plant functional groups: Ecosphere, v. 8, no. 10, p. 1-14, https://doi.org/10.1002/ecs2.1958.","productDescription":"Article e01958; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-075940","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1958","text":"Publisher Index Page"},{"id":346339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-02","publicationStatus":"PW","scienceBaseUri":"59d35025e4b05fe04cc34d45","contributors":{"authors":[{"text":"Williams, Amber S.","contributorId":196855,"corporation":false,"usgs":false,"family":"Williams","given":"Amber","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":711793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiniry, James R.","contributorId":66918,"corporation":false,"usgs":true,"family":"Kiniry","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":711794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":711795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Loren M.","contributorId":88876,"corporation":false,"usgs":true,"family":"Smith","given":"Loren M.","affiliations":[],"preferred":false,"id":711796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMurry, Scott T.","contributorId":191876,"corporation":false,"usgs":false,"family":"McMurry","given":"Scott","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":711797,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Attebury, Kelly","contributorId":196857,"corporation":false,"usgs":false,"family":"Attebury","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":711798,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":711799,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":711800,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":711801,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Effland, William R.","contributorId":196858,"corporation":false,"usgs":false,"family":"Effland","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":711802,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Mari-Vaughn V.","contributorId":196859,"corporation":false,"usgs":false,"family":"Johnson","given":"Mari-Vaughn V.","affiliations":[],"preferred":false,"id":711803,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70191225,"text":"70191225 - 2017 - Landscape movements by two species of migratory nectar-feeding bats (Leptonycteris) in a northern area of seasonal sympatry","interactions":[],"lastModifiedDate":"2018-02-14T14:28:38","indexId":"70191225","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Landscape movements by two species of migratory nectar-feeding bats (Leptonycteris) in a northern area of seasonal sympatry","title":"Landscape movements by two species of migratory nectar-feeding bats (Leptonycteris) in a northern area of seasonal sympatry","docAbstract":"Animals often migrate to exploit seasonally ephemeral food. Three species of nectar-feeding phyllostomid bats migrate north from Mexico into deserts of the United States each spring and summer to feed on blooms of columnar cactus and century plants (Agave spp.). However, the habitat needs of these important desert pollinators are poorly understood. We followed the nighttime movements of 2 species of long-nosed bats (Leptonycteris yerbabuenae and L. nivalis) in an area of late-summer sympatry at the northern edges of their migratory ranges. We radio-tracked bats in extreme southwestern New Mexico during 22 nights over 2 summers and acquired location estimates for 31 individuals. Both species cohabitated 2 major day roosts that were 30 km apart and in different mountain ranges, and individual bats sometimes moved between the roosts. Sampling was opportunistic and limited, but there were no obvious qualitative differences in observed patterns of movement between species or years, or among sex, age, and reproductive groups. Both species were observed foraging most often in the mountain range that had a relatively higher observed density of presumed food plants (Agave palmeri); when roosting in an adjacent mountain range, bats sometimes commuted >20 km one way to forage. Contrary to evidence indicating these species partition resources farther south in Mexico, our findings suggest that L. yerbabuenae and L. nivalis seasonally share common roost and food resources during late summer in this northern area of sympatry.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0305","usgsCitation":"Bogan, M.A., Cryan, P.M., Weise, C.D., and Valdez, E.W., 2017, Landscape movements by two species of migratory nectar-feeding bats (Leptonycteris) in a northern area of seasonal sympatry: Western North American Naturalist, v. 77, no. 3, p. 317-330, https://doi.org/10.3398/064.077.0305.","productDescription":"14 p.","startPage":"317","endPage":"330","ipdsId":"IP-087509","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502597,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss3/4","text":"External Repository"},{"id":438195,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7000101","text":"USGS data release","linkHelpText":"Radio telemetry data on nighttime movements of two species of migratory nectar-feeding bats (Leptonycteris) in Hidalgo County, New Mexico, late-summer 2004 and 2005"},{"id":346335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d35026e4b05fe04cc34d52","contributors":{"authors":[{"text":"Bogan, Michael A.","contributorId":196745,"corporation":false,"usgs":false,"family":"Bogan","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":147942,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weise, Christa D.","contributorId":196746,"corporation":false,"usgs":false,"family":"Weise","given":"Christa","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":711610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711611,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188528,"text":"70188528 - 2017 - Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries","interactions":[],"lastModifiedDate":"2018-10-16T09:55:31","indexId":"70188528","displayToPublicDate":"2017-10-01T15:40:27","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries","docAbstract":"Paleoecological analyses of biotic assemblages from cores collected throughout south Florida’s estuaries indicate gradually increasing salinities over approximately the last 2000 years, consistent with rising sea level. Around the beginning of the twentieth century these gradual patterns of change began to shift, corresponding to the beginning of human alteration of the environment via canal construction, railroad construction and other land use changes. Between 1950 and 1960, at a time of significant construction of water management structures another distinctive shift in the biological assemblages occurred. Analysis of the assemblages provides essential information on long-term patterns of change in the estuaries and provides a basis for predicting future trajectories of change. Paleosalinity estimates derived from the cores are providing input to linear regression models to determine related freshwater flow into the estuaries of south Florida. These analyses are being used to help establish performance measures and targets for the Comprehensive Everglades Restoration, established following an Act of Congress in 2000. Restoration of south Florida’s ecosystems is slated to be a 30–50 year effort that will require detailed knowledge of past decadal to centennial-scale changes in climate, freshwater flow and salinity. This historical perspective provides information that allows land managers to set realistic and sustainable goals for restoration, and provides insight into the potential response of south Florida’s ecosystem to various future scenarios of global change.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applications of paleoenvironmental techniques in estuarine studies. Part of the Developments in Paleoenvironmental Research book series. ","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-024-0990-1_22","usgsCitation":"Wingard, G.L., 2017, Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries, chap. of Applications of paleoenvironmental techniques in estuarine studies. 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We investigated day and night distributions of fish using hydroacoustics and suspended vertical gillnets during the summer of 2013 when a deep chlorophyll layer (DCL) was established. We related fish distributions to concurrent measures of temperature and prey (zooplankton) density. Alewife dominated in vertical gill net catches, indicating that most acoustic targets were alewife. Alewife schooled during the day in the bottom of the mixed layer, and at dusk alewife schools broke up and fish moved towards the surface. We hypothesize this movement followed migrating zooplankton to allow feeding at night; alewife sampled from vertical gillnets fed on cyclopoid copepods and cladocerans, prey groups that migrate into the epilimnion at night. Some alewife remained at the bottom of the mixed layer at night and these fish ate deep-water calanoid copepods such as Limnocalanus. Vertical distributions were best predicted by temperature and the interaction between temperature and zooplankton density. We include uplooking acoustics data to complement our downlooking datasets, which provided evidence for potential bias in downlooking acoustic assessments of alewife due to high proportions of alewife found in the surface exclusion zone. Our approach combining several datasets provides a new perspective to understand summer diel distribution of alewife and the factors driving their distribution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.07.007","usgsCitation":"Riha, M., Walsh, M., Connerton, M., Holden, J., Weidel, B., Sullivan, P.J., Holda, T.J., and Rudstam, L.G., 2017, Vertical distribution of alewife in the Lake Ontario offshore: Implications for resource use: Journal of Great Lakes Research, v. 43, no. 5, p. 823-837, https://doi.org/10.1016/j.jglr.2017.07.007.","productDescription":"15 p.","startPage":"823","endPage":"837","ipdsId":"IP-079963","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.07.007","text":"Publisher Index Page"},{"id":361464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Ontario ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.98596191406249,\n 43.12905229628564\n ],\n [\n -75.904541015625,\n 43.12905229628564\n ],\n [\n -75.904541015625,\n 44.4377021634654\n ],\n [\n -79.98596191406249,\n 44.4377021634654\n ],\n [\n -79.98596191406249,\n 43.12905229628564\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Riha, Milan","contributorId":213505,"corporation":false,"usgs":false,"family":"Riha","given":"Milan","email":"","affiliations":[{"id":38766,"text":"Institute of Hydrobiology, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":757859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":757858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, Michael J.","contributorId":168904,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":25383,"text":"NY State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":757860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, Jeremy","contributorId":168905,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":757861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":757862,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Patrick J.","contributorId":213506,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":757863,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holda, Toby J.","contributorId":213507,"corporation":false,"usgs":false,"family":"Holda","given":"Toby","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":757864,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":757865,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70249340,"text":"70249340 - 2017 - How similar are forest disturbance maps derived from different Landsat time series algorithms?","interactions":[],"lastModifiedDate":"2023-10-05T00:18:45.62362","indexId":"70249340","displayToPublicDate":"2017-10-01T12:47:32","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"How similar are forest disturbance maps derived from different Landsat time series algorithms?","docAbstract":"Disturbance is a critical ecological process in forested systems, and disturbance maps are important for understanding forest dynamics. Landsat data are a key remote sensing dataset for monitoring forest disturbance and there recently has been major growth in the development of disturbance mapping algorithms. Many of these algorithms take advantage of the high temporal data volume to mine subtle signals in Landsat time series, but as those signals become subtler, they are more likely to be mixed with noise in Landsat data. This study examines the similarity among seven different algorithms in their ability to map the full range of magnitudes of forest disturbance over six different Landsat scenes distributed across the conterminous US. The maps agreed very well in terms of the amount of undisturbed forest over time; however, for the ~30% of forest mapped as disturbed in a given year by at least one algorithm, there was little agreement about which pixels were affected. Algorithms that targeted higher-magnitude disturbances exhibited higher omission errors but lower commission errors than those targeting a broader range of disturbance magnitudes. These results suggest that a user of any given forest disturbance map should understand the map’s strengths and weaknesses (in terms of omission and commission error rates), with respect to the disturbance targets of interest.
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DHAA are sensitive indicators of the degradation state and reactivity of DOM. DHAA concentrations ranged from 0.55 to 9.96 μM (median 3.51 ± 1.80 μM), with expected peaks during high-discharge storms and unexpected high values throughout the low-discharge irrigation season. Overall, summer irrigation was a critical hydrologic regime for DOM cycling since it mobilized DOM similar in concentration and reactivity to DOM released during storms. Together, irrigation and storm flows exported DOM with (1) the largest DHAA contributions to the dissolved organic carbon and the dissolved organic nitrogen pools, (2) the largest proportion of basic amino acids, and (3) the lowest degradation extent based on multiple indices. In this highly disturbed terrestrial system, UV–vis absorbance did not correlate with DHAA concentrations, while classic interpretations of common amino acid indicators (e.g., proportion of basic amino acids, degradation index, percent of non-protein amino acids) were prone to conflicting characterizations of DOM reactivity. Therefore, a new parameter (processing ratio, PR) derived from individual amino acid concentrations was developed that demonstrated a strong potential for mechanistic-driven characterization of the extent of DOM diagenesis in freshwaters. Irrigated agriculture altered stream biogeochemistry by releasing a continuous supply of reactive DOM (lowest PR values), thereby providing an additional energy source to downstream ecosystems.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-017-0381-2","usgsCitation":"Matiasek, S., Pellerin, B., Spencer, R., Bergamaschi, B.A., and Hernes, P.J., 2017, Irrigation as a fuel pump to freshwater ecosystems: Biogeochemistry, v. 136, no. 1, p. 71-90, https://doi.org/10.1007/s10533-017-0381-2.","productDescription":"20 p.","startPage":"71","endPage":"90","ipdsId":"IP-086392","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":358801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Willow Slough watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.25,\n 38.5\n ],\n [\n -121.6667,\n 38.5\n ],\n [\n -121.6667,\n 38.75\n ],\n [\n -122.25,\n 38.75\n ],\n [\n -122.25,\n 38.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"136","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"5c10ab02e4b034bf6a7e5f3f","contributors":{"authors":[{"text":"Matiasek, Sandrine J. 0000-0003-0272-0354","orcid":"https://orcid.org/0000-0003-0272-0354","contributorId":210031,"corporation":false,"usgs":false,"family":"Matiasek","given":"Sandrine","middleInitial":"J.","affiliations":[{"id":38054,"text":"Department of Geological and Environmental Sciences, California State University Chico, 400 W 1st St, Chico, CA 95929, USA","active":true,"usgs":false}],"preferred":false,"id":749652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":749651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":749653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hernes, Peter J.","contributorId":139730,"corporation":false,"usgs":false,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":749655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199826,"text":"70199826 - 2017 - Hydrogeophysical investigations of earthen dams – Two California case studies","interactions":[],"lastModifiedDate":"2018-10-02T11:37:01","indexId":"70199826","displayToPublicDate":"2017-10-01T10:21:10","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5758,"text":"Canadian Society of Exploration Geophysicists Recorder","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeophysical investigations of earthen dams – Two California case studies","docAbstract":"Excessive groundwater seepage can be a common engineering concern with earthen dams. The application of geophysical methods, whether for characterization or for long-term monitoring, to help inform mitigation strategies is becoming a more common addition to these investigations. The U.S. Geological Survey (USGS) has completed geophysical investigations at several earthen dams in cooperation with the U.S. Army Corps of Engineers (USACE) to help characterize subsurface hydrogeologic conditions and to identify potential sources of seepage. Summaries of the investigations of Martis Creek Dam and Hidden Dam, both located in California, are presented.
","language":"English","publisher":"Canadian Society of Exploration Geophysicists","usgsCitation":"Burton, B.L., Bedrosian, P.A., Minsley, B.J., Ikard, S., and Powers, M.H., 2017, Hydrogeophysical investigations of earthen dams – Two California case studies: Canadian Society of Exploration Geophysicists Recorder, v. 42, no. 07, p. 20-27.","productDescription":"8 p.","startPage":"20","endPage":"27","ipdsId":"IP-091498","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":357954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357941,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://csegrecorder.com/articles/view/hydrogeophysical-investigations-of-earthen-dams-two-california-case-studies"}],"country":"United States","state":"California","otherGeospatial":"Martis Creek Dam, Hidden Dam","volume":"42","issue":"07","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc030e0e4b0fc368eb53a15","contributors":{"authors":[{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":138925,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany","email":"blburton@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":746833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":746813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":746814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ikard, Scott 0000-0002-8304-4935 sikard@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":171751,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","email":"sikard@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powers, Michael H. 0000-0002-4480-7856 mhpowers@usgs.gov","orcid":"https://orcid.org/0000-0002-4480-7856","contributorId":851,"corporation":false,"usgs":true,"family":"Powers","given":"Michael","email":"mhpowers@usgs.gov","middleInitial":"H.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":746835,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190610,"text":"70190610 - 2017 - Using pharyngeal teeth and chewing pads to estimate juvenile Silver Carp total length in the La Grange Reach, Illinois River","interactions":[],"lastModifiedDate":"2018-03-29T12:57:36","indexId":"70190610","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Using pharyngeal teeth and chewing pads to estimate juvenile Silver Carp total length in the La Grange Reach, Illinois River","docAbstract":"The Silver Carp Hypophthalmichthys molitrix is an invasive species in the Mississippi River basin; an understanding of their vulnerability to predation as juveniles may inform control by native predators and predator enhancement (e.g., stocking). Digestion of Silver Carp prey recovered from diets makes it difficult to determine the size‐classes that are most vulnerable to predation by native fishes. The objective of this study was to determine whether the sizes of the chewing pad (CP), pharyngeal teeth (PT), and pharyngeal arch (PA)—the Silver Carp structures most often found intact in predator diets—were predictive of the TL of prey Silver Carp. During 2014 and 2015, juvenile Silver Carp (n = 136; <180 mm) were collected using 60‐Hz pulsed‐DC electrofishing and mini‐fyke nets in the La Grange reach of the Illinois River. We extracted Silver Carp CPs (n = 136 fish) and PAs with PT intact (n = 129 fish) and measured CP length (CPL) and width (CPW), eight reproducible PT landmarks (PT1L–PT4L; PT1W–PT4W), and four reproducible PA landmarks (PA1–PA4) to the nearest 0.01 µm. Using simple linear regression, we found a strong predictive relationship between measurements of CP, PT, or PA and the TL of Silver Carp. The CPL (r2 = 0.94) and CPW (r2 = 0.94) had the strongest relationships with Silver Carp TL, followed by PA1 (r2 = 0.89) and PT1L (r2 = 0.87). These strong relationships suggest that all three structures could be used in diet analyses to accurately estimate Silver Carp TL and thus further our understanding of predator–prey dynamics for this high‐risk invasive species.
","language":"English","publisher":"Wiley","doi":"10.1080/02755947.2017.1350221","usgsCitation":"Lampo, E.G., Knights, B.C., Vallazza, J.M., Anderson, C.A., Rechkemmer, W.T., Solomon, L.E., Casper, A.F., Pendleton, R.M., and Lamer, J.T., 2017, Using pharyngeal teeth and chewing pads to estimate juvenile Silver Carp total length in the La Grange Reach, Illinois River: North American Journal of Fisheries Management, v. 37, no. 5, p. 1145-1150, https://doi.org/10.1080/02755947.2017.1350221.","productDescription":"6 p.","startPage":"1145","endPage":"1150","ipdsId":"IP-081903","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":352940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.54794311523438,\n 39.930800820752765\n ],\n [\n -89.61410522460938,\n 39.930800820752765\n ],\n [\n -89.61410522460938,\n 40.6410514961004\n ],\n [\n -90.54794311523438,\n 40.6410514961004\n ],\n [\n -90.54794311523438,\n 39.930800820752765\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-06","publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3ab","contributors":{"authors":[{"text":"Lampo, Eli G.","contributorId":196303,"corporation":false,"usgs":false,"family":"Lampo","given":"Eli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":709988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":709987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":709989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Cory A.","contributorId":196305,"corporation":false,"usgs":false,"family":"Anderson","given":"Cory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rechkemmer, Will T.","contributorId":196304,"corporation":false,"usgs":false,"family":"Rechkemmer","given":"Will","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":709990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solomon, Levi E.","contributorId":173605,"corporation":false,"usgs":false,"family":"Solomon","given":"Levi","email":"","middleInitial":"E.","affiliations":[{"id":12814,"text":"USGS, Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":709992,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casper, Andrew F.","contributorId":173606,"corporation":false,"usgs":false,"family":"Casper","given":"Andrew","email":"","middleInitial":"F.","affiliations":[{"id":34075,"text":"University of Illinois; Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":709993,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pendleton, Richard M.","contributorId":196306,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":709994,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lamer, James T. 0000-0003-1155-1548","orcid":"https://orcid.org/0000-0003-1155-1548","contributorId":196307,"corporation":false,"usgs":false,"family":"Lamer","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48847,"text":"Illinois River Biological Station, Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":709995,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196482,"text":"70196482 - 2017 - Unraveling the channel–lobe transition zone with high-resolution AUV bathymetry: Navy Fan, offshore Baja California, Mexico","interactions":[],"lastModifiedDate":"2019-08-15T11:27:19","indexId":"70196482","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Unraveling the channel–lobe transition zone with high-resolution AUV bathymetry: Navy Fan, offshore Baja California, Mexico","docAbstract":"Ultra-high-resolution (1 m * 1 m * 0.25 m) bathymetry was acquired with an autonomous underwater vehicle (AUV) over a sector of the Navy Fan offshore Baja California. The survey specifically targeted an area where the former interpretation of the fan showed a channel–lobe transition; however, the lobe and the transition were not recognized. Instead, the newly acquired bathymetry shows that the previously identified channel continues basinward changing its overall morphology and stratigraphic architecture, becoming gradually but significantly wider (650–1000 m) and of lower relief (3–4 m). Cores from the channel thalweg recovered mud-poor (< 5%) well-sorted sands, interpreted as deposited by fully turbulent flows. The cores also show several mud-rich (9–18%) poorly sorted sands, probably indicating deposition from more cohesive flows.
The high-resolution bathymetry shows large sectors of the seafloor sculpted by elaborate bedforms and scours. The overbank area north of the channel exhibits the most numerous and prominent scours, interpreted to have been largely generated by flow stripping at a bend in the channel. Along high-gradient sectors (more than approximately 1¯) of this area, the scours are largest and deepest. Some of these scours show an erosional headwall and a distal upflow-dipping depositional bulge, forming repetitive bedforms interpreted as erosional cyclic steps associated with locked-in-place trains of hydraulic jumps. The scours seem to coalesce to form an incipient channel, which would likely drive the avulsion of the main channel. Further basinward, average gradients decrease (< 0.6¯ ) and scours become smaller and less deep suggesting a gradient control on erosion. The southern channel margin and adjacent overbank area exhibit a trend of scours that are elongated transverse to flow, that successively repeat themselves basinwards, and that at times merge with sediment waves. Probably these scours are genetically linked to sediment waves, and they may have been formed by cyclic-step-like processes as well. The acquired bathymetry represents a breakthrough in the imaging of the proximal sectors of deep-sea fans, which provides the basis for an accurate morphometric characterization and the understanding of sedimentary processes and morphodynamics associated with the delivery of sediment into the deep sea.
","language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/jsr.2017.58","usgsCitation":"Carvajal, C., Paull, C.K., Caress, D.W., Fildani, A., Lundsten, E.M., Anderson, K., Maier, K.L., McGann, M., Gwiazda, R., and Herguera, J.C., 2017, Unraveling the channel–lobe transition zone with high-resolution AUV bathymetry: Navy Fan, offshore Baja California, Mexico: Journal of Sedimentary Research, v. 87, no. 10, p. 1049-1059, https://doi.org/10.2110/jsr.2017.58.","productDescription":"11 p.","startPage":"1049","endPage":"1059","ipdsId":"IP-080811","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":353311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.7167,\n 32.2667\n ],\n [\n -117.8,\n 32.2667\n ],\n [\n -117.8,\n 32.2167\n ],\n [\n -117.7167,\n 32.2167\n ],\n [\n -117.7167,\n 32.2667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"87","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"5afee7dfe4b0da30c1bfc393","contributors":{"authors":[{"text":"Carvajal, Cristian","contributorId":204133,"corporation":false,"usgs":false,"family":"Carvajal","given":"Cristian","email":"","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":733161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":733162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caress, David W.","contributorId":147392,"corporation":false,"usgs":false,"family":"Caress","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":733163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fildani, Andrea","contributorId":204134,"corporation":false,"usgs":false,"family":"Fildani","given":"Andrea","email":"","affiliations":[{"id":36863,"text":"Statoil","active":true,"usgs":false}],"preferred":false,"id":733164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lundsten, Eve M.","contributorId":147191,"corporation":false,"usgs":false,"family":"Lundsten","given":"Eve","email":"","middleInitial":"M.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":733165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Krystle","contributorId":147192,"corporation":false,"usgs":false,"family":"Anderson","given":"Krystle","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":733166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maier, Katherine L. 0000-0003-2908-3340 kcoble@usgs.gov","orcid":"https://orcid.org/0000-0003-2908-3340","contributorId":4926,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine","email":"kcoble@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733160,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733167,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gwiazda, Roberto","contributorId":147193,"corporation":false,"usgs":false,"family":"Gwiazda","given":"Roberto","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":733168,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herguera, Juan Carlos","contributorId":204136,"corporation":false,"usgs":false,"family":"Herguera","given":"Juan","email":"","middleInitial":"Carlos","affiliations":[{"id":36253,"text":"CICESE","active":true,"usgs":false}],"preferred":false,"id":733170,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70196949,"text":"70196949 - 2017 - Resilience in ecotoxicology: Toward a multiple equilibrium concept","interactions":[],"lastModifiedDate":"2018-05-17T15:17:26","indexId":"70196949","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Resilience in ecotoxicology: Toward a multiple equilibrium concept","docAbstract":"The term resilience describes stress–response patterns across scientific disciplines. In ecology, advances have been made to clearly define resilience based on underlying mechanistic assumptions. Engineering resilience (rebound) is used to describe the ability of organisms to recover from adverse conditions (disturbances), which is termed the rate of recovery. By contrast, the ecological resilience definition considers a systemic change, that is, when ecosystems reorganize into a new regime following disturbance. Under this new regime, structural and functional aspects change considerably relative to the previous regime, without recovery. In this context, resilience is an emergent property of complex systems. In the present study, we argue that both definitions and uses are appropriate in ecotoxicology, and although the differences are subtle, the implications and uses are profoundly different. We discuss resilience concepts in ecotoxicology, where the prevailing view of resilience is engineering resilience from chemical stress. Ecological resilience may also be useful for describing systemic ecological changes because of chemical stress. We present quantitative methods that allow ecotoxicologists and risk managers to assess whether an ecosystem faces an impending regime shift or whether it has already undergone such a shift. We contend that engineering and ecological resilience help to distinguish ecotoxicological responses to chemical stressors mechanistically and thus have implications for theory, policy, and application.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3845","usgsCitation":"Bundschuh, M., Schulz, R., Allen, C.R., and Angeler, D., 2017, Resilience in ecotoxicology: Toward a multiple equilibrium concept: Environmental Toxicology and Chemistry, v. 36, no. 10, p. 2574-2580, https://doi.org/10.1002/etc.3845.","productDescription":"7 p.","startPage":"2574","endPage":"2580","ipdsId":"IP-085637","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469565,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.3845","text":"Publisher Index Page"},{"id":354278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"5afee7dee4b0da30c1bfc38d","contributors":{"authors":[{"text":"Bundschuh, Mirco","contributorId":205001,"corporation":false,"usgs":false,"family":"Bundschuh","given":"Mirco","email":"","affiliations":[],"preferred":false,"id":735716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, Ralf","contributorId":205002,"corporation":false,"usgs":false,"family":"Schulz","given":"Ralf","email":"","affiliations":[],"preferred":false,"id":735717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":735718,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195394,"text":"70195394 - 2017 - Role of a naturally varying flow regime in Everglades restoration","interactions":[],"lastModifiedDate":"2018-02-13T13:34:06","indexId":"70195394","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Role of a naturally varying flow regime in Everglades restoration","docAbstract":"The Everglades is a low-gradient floodplain predominantly on organic soil that undergoes seasonally pulsing sheetflow through a network of deepwater sloughs separated by slightly higher elevation ridges. The seasonally pulsing flow permitted the coexistence of ridge and slough vegetation, including the persistence of productive, well-connected sloughs that seasonally concentrated prey and supported wading bird nesting success. Here we review factors contributing to the origin and to degradation of the ridge and slough ecosystem in an attempt to answer “How much flow is needed to restore functionality”? A key restoration objective is to increase sheetflow lost during the past century to reestablish interactions between flow, water depth, vegetation production and decomposition, and transport of flocculent organic sediment that build and maintain ridge and slough distinctions. Our review finds broad agreement that perturbations of water level depth and its fluctuations were primary in the degradation of landscape functions, with critical contributions from perturbed water quality, and flow velocity and direction. Whereas water levels are expected to be improved on average across a range of restoration scenarios that replace between 79 and 91% of predrainage flows, the diminished microtopography substantially decreases the probability of timely improvements in some areas whereas others that retain microtopographic differences are poised for restoration benefits. New advances in predicting restoration outcomes are coming from biophysical modeling of ridge–slough dynamics, system-wide measurements of landscape functionality, and large-scale flow restoration experiments, including active management techniques to kick-start slough regeneration.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.12558","usgsCitation":"Harvey, J., Wetzel, P.R., Lodge, T.E., Engel, V.C., and Ross, M.S., 2017, Role of a naturally varying flow regime in Everglades restoration: Restoration Ecology, v. 25, no. S1, p. S27-S38, https://doi.org/10.1111/rec.12558.","productDescription":"12 p.","startPage":"S27","endPage":"S38","ipdsId":"IP-080490","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":351531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.18896484375,\n 25.137825490722225\n ],\n [\n -80.211181640625,\n 25.137825490722225\n ],\n [\n -80.211181640625,\n 26.676913083105454\n ],\n [\n -81.18896484375,\n 26.676913083105454\n ],\n [\n -81.18896484375,\n 25.137825490722225\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"S1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc39f","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":728390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wetzel, Paul R.","contributorId":202429,"corporation":false,"usgs":false,"family":"Wetzel","given":"Paul","email":"","middleInitial":"R.","affiliations":[{"id":36432,"text":"Smith College, Northhampton, MA","active":true,"usgs":false}],"preferred":false,"id":728391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lodge, Thomas E.","contributorId":202430,"corporation":false,"usgs":false,"family":"Lodge","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":36433,"text":"Thomas E. Lodge Ecological Advisors, Inc.","active":true,"usgs":false}],"preferred":false,"id":728392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engel, Victor C. 0000-0002-3858-7308 vengel@usgs.gov","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":2329,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","email":"vengel@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":728394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ross, Michael S.","contributorId":202431,"corporation":false,"usgs":false,"family":"Ross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":36434,"text":"Florida International University, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":728393,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196234,"text":"70196234 - 2017 - Effects of sulfide concentration and dissolved organic matter characteristics on the structure of nanocolloidal metacinnabar","interactions":[],"lastModifiedDate":"2018-03-28T10:57:46","indexId":"70196234","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sulfide concentration and dissolved organic matter characteristics on the structure of nanocolloidal metacinnabar","docAbstract":"Understanding the speciation of divalent mercury (Hg(II)) in aquatic systems containing dissolved organic matter (DOM) and sulfide is necessary to predict the conversion of Hg(II) to bioavailable methylmercury. We used X-ray absorption spectroscopy to characterize the structural order of mercury in Hg(II)–DOM–sulfide systems for a range of sulfide concentration (1–100 μM), DOM aromaticity (specific ultraviolet absorbance (SUVA254)), and Hg(II)–DOM and Hg(II)–DOM–sulfide equilibration times (4–142 h). In all systems, Hg(II) was present as structurally disordered nanocolloidal metacinnabar (β-HgS). β-HgS nanocolloids were significantly smaller or less ordered at lower sulfide concentration, as indicated by under-coordination of Hg(II) in β-HgS. The size or structural order of β-HgS nanocolloids increased with increasing sulfide abundance and decreased with increasing SUVA254 of the DOM. The Hg(II)–DOM or Hg(II)–DOM–sulfide equilibration times did not significantly influence the extent of structural order in nanocolloidal β-HgS. Geochemical factors that control the structural order of nanocolloidal β-HgS, which are expected to influence nanocolloid surface reactivity and solubility, should be considered in the context of mercury bioavailability.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.7b02687","usgsCitation":"Poulin, B., Gerbig, C.A., Kim, C.S., Stegemeier, J.P., Ryan, J.N., and Aiken, G.R., 2017, Effects of sulfide concentration and dissolved organic matter characteristics on the structure of nanocolloidal metacinnabar: Environmental Science & Technology, v. 51, no. 22, p. 13133-13142, https://doi.org/10.1021/acs.est.7b02687.","productDescription":"10 p.","startPage":"13133","endPage":"13142","ipdsId":"IP-087520","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":352805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"22","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-31","publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc39d","contributors":{"authors":[{"text":"Poulin, Brett 0000-0002-5555-7733 bpoulin@usgs.gov","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":194253,"corporation":false,"usgs":true,"family":"Poulin","given":"Brett","email":"bpoulin@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":731782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerbig, Chase A.","contributorId":203562,"corporation":false,"usgs":false,"family":"Gerbig","given":"Chase","email":"","middleInitial":"A.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":731783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Christopher S.","contributorId":193526,"corporation":false,"usgs":false,"family":"Kim","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":731784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stegemeier, John P.","contributorId":203563,"corporation":false,"usgs":false,"family":"Stegemeier","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":18864,"text":"Chapman University","active":true,"usgs":false}],"preferred":false,"id":731785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":731786,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":731787,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196366,"text":"70196366 - 2017 - Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead","interactions":[],"lastModifiedDate":"2018-04-04T11:10:12","indexId":"70196366","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead","title":"Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead","docAbstract":"The species Oncorhynchus mykiss is characterized by a complex life history that presents a significant challenge for population monitoring and conservation management. Many factors contribute to genetic variation in O. mykiss populations, including sympatry among migratory phenotypes, habitat heterogeneity, hatchery introgression, and immigration (stray) rates. The relative influences of these and other factors are contingent on characteristics of the local environment. The Rock Creek subbasin in the middle Columbia River has no history of hatchery supplementation and no dams or artificial barriers. Limited intervention and minimal management have led to a dearth of information regarding the genetic distinctiveness of the extant O. mykiss population in Rock Creek and its tributaries. We used 192 SNP markers and collections sampled over a 5‐year period to evaluate the temporal and spatial genetic structures of O. mykissbetween upper and lower watersheds of the Rock Creek subbasin. We investigated potential limits to gene flow within the lower watershed where the stream is fragmented by seasonally dry stretches of streambed, and between upper and lower watershed regions. We found minor genetic differentiation within the lower watershed occupied by anadromous steelhead (FST = 0.004), and evidence that immigrant influences were prevalent and ubiquitous. Populations in the upper watershed above partial natural barriers were highly distinct (FST = 0.093) and minimally impacted by apparent introgression. Genetic structure between watersheds paralleled differences in local demographics (e.g., variation in size), migratory restrictions, and habitat discontinuity. The evidence of restricted gene flow between putative remnant resident populations in the upper watershed and the admixed anadromous population in the lower watershed has implications for local steelhead productivity and regional conservation.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3338","usgsCitation":"Matala, A.P., Allen, B., Narum, S.R., and Harvey, E., 2017, Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead: Ecology and Evolution, v. 7, no. 20, p. 8349-8362, https://doi.org/10.1002/ece3.3338.","productDescription":"14 p.","startPage":"8349","endPage":"8362","ipdsId":"IP-062941","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3338","text":"Publisher Index Page"},{"id":353139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Rock Creek Subbasin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.6470489501953,\n 45.703302146999036\n ],\n [\n -120.36552429199217,\n 45.703302146999036\n ],\n [\n -120.36552429199217,\n 45.96356082681656\n ],\n [\n -120.6470489501953,\n 45.96356082681656\n ],\n [\n -120.6470489501953,\n 45.703302146999036\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"20","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"5afee7dfe4b0da30c1bfc395","contributors":{"authors":[{"text":"Matala, Andrew P.","contributorId":167147,"corporation":false,"usgs":false,"family":"Matala","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":732622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Brady ballen@usgs.gov","contributorId":147932,"corporation":false,"usgs":true,"family":"Allen","given":"Brady","email":"ballen@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Narum, Shawn R.","contributorId":167146,"corporation":false,"usgs":false,"family":"Narum","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":732623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Elaine","contributorId":203907,"corporation":false,"usgs":false,"family":"Harvey","given":"Elaine","email":"","affiliations":[{"id":36750,"text":"Yakama Nation Fisheries, 4 Bickleton Hwy, Goldendale, WA 98620","active":true,"usgs":false}],"preferred":false,"id":732624,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196730,"text":"70196730 - 2017 - Using long-term data to predict fish abundance: the case of Prochilodus lineatus (Characiformes, Prochilodontidae) in the intensely regulated upper Paraná River","interactions":[],"lastModifiedDate":"2018-04-27T13:48:58","indexId":"70196730","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2852,"text":"Neotropical Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Using long-term data to predict fish abundance: the case of Prochilodus lineatus (Characiformes, Prochilodontidae) in the intensely regulated upper Paraná River","docAbstract":"Populations show spatial-temporal fluctuations in abundance, partly due to random processes and partly due to self-regulatory processes. We evaluated the effects of various external factors on the population numerical abundance of curimba Prochilodus lineatus in the upper Paraná River floodplain, Brazil, over a 19-year period. Panel data analysis was applied to examine the structure of temporal and spatial abundance while controlling auto-regressive processes and spatial non-homogeneity variances that often obscure relationships. As sources of population variation, we considered predation, competition, selected abiotic variables, construction of a dam upstream of the study area, water level and flood intensity during the spawning period. We found that biological interactions (predation and competition) were not significantly related to variations in curimba abundance; specific conductance was a space indicator of abundance, apparently linked to the biology of the species; intensity of floods determined inter-annual variation in abundances; Porto Primavera Dam negatively impacted the abundances at sites in the floodplain directly affected by discharges from the dam. Panel data analysis was a powerful tool that identified the need for intense flooding to maintain high abundances of curimba in the upper Paraná River. We believe our results apply to other species with similar life strategy.
","language":"English","publisher":"SciELO","doi":"10.1590/1982-0224-20160029","usgsCitation":"Piana, P.A., Cardoso, B.F., Dias, J., Gomes, L., Agostinho, A.A., and Miranda, L.E., 2017, Using long-term data to predict fish abundance: the case of Prochilodus lineatus (Characiformes, Prochilodontidae) in the intensely regulated upper Paraná River: Neotropical Ichthyology, v. 15, no. 3, p. 1-12, https://doi.org/10.1590/1982-0224-20160029.","productDescription":"e160029; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-075860","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1590/1982-0224-20160029","text":"Publisher Index Page"},{"id":353778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Paraná River","volume":"15","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7dfe4b0da30c1bfc391","contributors":{"authors":[{"text":"Piana, Pitagoras A.","contributorId":204497,"corporation":false,"usgs":false,"family":"Piana","given":"Pitagoras","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cardoso, Barbara F.","contributorId":204498,"corporation":false,"usgs":false,"family":"Cardoso","given":"Barbara","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":734176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dias, Joilson","contributorId":204499,"corporation":false,"usgs":false,"family":"Dias","given":"Joilson","email":"","affiliations":[],"preferred":false,"id":734177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomes, Luiz C.","contributorId":204500,"corporation":false,"usgs":false,"family":"Gomes","given":"Luiz C.","affiliations":[],"preferred":false,"id":734178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agostinho, Angelo A.","contributorId":204501,"corporation":false,"usgs":false,"family":"Agostinho","given":"Angelo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734150,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196779,"text":"70196779 - 2017 - Influence of precipitation and crop germination on resource selection by mule deer (Odocoileus hemionus) in southwest Colorado","interactions":[],"lastModifiedDate":"2018-09-10T15:14:47","indexId":"70196779","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influence of precipitation and crop germination on resource selection by mule deer (Odocoileus hemionus) in southwest Colorado","title":"Influence of precipitation and crop germination on resource selection by mule deer (Odocoileus hemionus) in southwest Colorado","docAbstract":"Mule deer (Odocoileus hemionus) populations in the western United States provide many benefits to local economies but can also cause considerable damage to agriculture, particularly damage to lucrative crops. Limited information exists to understand resource selection of mule deer in response to annual variation in crop rotation and climatic conditions. We tested the hypothesis that mule deer select certain crops, and in particular sunflower, based on annual climatic variability. Our objective was to use movements, estimates of home range, and resource selection analysis to identify resources selected by mule deer. We used annually-derived crop-specific datasets along with Global Positioning System collars to monitor 14 mule deer in an agricultural area near public lands in southwestern Colorado, USA. We estimated home ranges for two winter seasons that ranged between 7.68 and 9.88 km2, and for two summer seasons that ranged between 5.51 and 6.24 km2. Mule deer selected areas closer to forest and alfalfa for most periods during 2012, but selected areas closer to sunflower in a majority of periods during 2013. Considerable annual variation in climate patterns and precipitation levels appeared to influence selection by mule deer because of variability in crop rotation and success of germination of specific crops.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-017-15482-7","usgsCitation":"Carrollo, E.M., Johnson, H.E., Fischer, J.W., Hammond, M., Dorsey, P.D., Anderson, C., Vercauteren, K.C., and Walter, W.D., 2017, Influence of precipitation and crop germination on resource selection by mule deer (Odocoileus hemionus) in southwest Colorado: Scientific Reports, v. 7, p. 1-9, https://doi.org/10.1038/s41598-017-15482-7.","productDescription":"Article number: 15234; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-067881","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-017-15482-7","text":"Publisher Index Page"},{"id":353866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.27001953125,\n 37.48139702942734\n ],\n [\n -108.68362426757812,\n 37.48139702942734\n ],\n [\n -108.68362426757812,\n 37.924701076802094\n ],\n [\n -109.27001953125,\n 37.924701076802094\n ],\n [\n -109.27001953125,\n 37.48139702942734\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-09","publicationStatus":"PW","scienceBaseUri":"5afee7dee4b0da30c1bfc38f","contributors":{"authors":[{"text":"Carrollo, Emily M.","contributorId":204562,"corporation":false,"usgs":false,"family":"Carrollo","given":"Emily","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":734358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":734359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, Justin W.","contributorId":171828,"corporation":false,"usgs":false,"family":"Fischer","given":"Justin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":734360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammond, Matthew","contributorId":204563,"corporation":false,"usgs":false,"family":"Hammond","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":734361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorsey, Patricia D.","contributorId":204564,"corporation":false,"usgs":false,"family":"Dorsey","given":"Patricia","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734362,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Charles","contributorId":204565,"corporation":false,"usgs":false,"family":"Anderson","given":"Charles","affiliations":[],"preferred":false,"id":734363,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vercauteren, Kurt C.","contributorId":193057,"corporation":false,"usgs":false,"family":"Vercauteren","given":"Kurt","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":734364,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734345,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192612,"text":"70192612 - 2017 - Environmental conditions and prey-switching by a seabird predator impact juvenile salmon survival","interactions":[],"lastModifiedDate":"2017-11-29T14:04:49","indexId":"70192612","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2381,"text":"Journal of Marine Systems","active":true,"publicationSubtype":{"id":10}},"title":"Environmental conditions and prey-switching by a seabird predator impact juvenile salmon survival","docAbstract":"Due to spatio-temporal variability of lower trophic-level productivity along the California Current Ecosystem (CCE), predators must be capable of switching prey or foraging areas in response to changes in environmental conditions and available forage. The Gulf of the Farallones in central California represents a biodiversity hotspot and contains the largest common murre (Uria aalge) colonies along the CCE. During spring, one of the West Coast's most important Chinook salmon (Oncorhynchus tshawytscha) populations out-migrates into the Gulf of the Farallones. We quantify the effect of predation on juvenile Chinook salmon associated with ecosystem-level variability by integrating long-term time series of environmental conditions (upwelling, river discharge), forage species abundance within central CCE, and population size, at-sea distribution, and diet of the common murre. Our results demonstrate common murres typically forage in the vicinity of their offshore breeding sites, but in years in which their primary prey, pelagic young-of-year rockfish (Sebastesspp.), are less available they forage for adult northern anchovies (Engraulis mordax) nearshore. Incidentally, while foraging inshore, common murre consumption of out-migrating juvenile Chinook salmon, which are collocated with northern anchovy, increases and population survival of the salmon is significantly reduced. Results support earlier findings that show timing and strength of upwelling, and the resultant forage fish assemblage, is related to Chinook salmon recruitment variability in the CCE, but we extend those results by demonstrating the significance of top-down impacts associated with these bottom-up dynamics. Our results demonstrate the complexity of ecosystem interactions and impacts between higher trophic-level predators and their prey, complexities necessary to quantify in order to parameterize ecosystem models and evaluate likely outcomes of ecosystem management options.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jmarsys.2017.05.008","usgsCitation":"Wells, B.K., Santora, J.A., Henderson, M., Warzybok, P., Jahncke, J., Bradley, R.W., Huff, D.D., Schroeder, I.D., Nelson, P., Field, J.C., and Ainley, D.G., 2017, Environmental conditions and prey-switching by a seabird predator impact juvenile salmon survival: Journal of Marine Systems, v. 174, p. 54-63, https://doi.org/10.1016/j.jmarsys.2017.05.008.","productDescription":"10 p.","startPage":"54","endPage":"63","ipdsId":"IP-077038","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jmarsys.2017.05.008","text":"Publisher Index Page"},{"id":349551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5,\n 36.5\n ],\n [\n -121.5,\n 36.5\n ],\n [\n -121.5,\n 38.3\n ],\n [\n -123.5,\n 38.3\n ],\n [\n -123.5,\n 36.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"174","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22ea0","contributors":{"authors":[{"text":"Wells, Brian K.","contributorId":198610,"corporation":false,"usgs":false,"family":"Wells","given":"Brian","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":716549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santora, Jarrod A.","contributorId":198611,"corporation":false,"usgs":false,"family":"Santora","given":"Jarrod","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":716548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warzybok, Peter","contributorId":198612,"corporation":false,"usgs":false,"family":"Warzybok","given":"Peter","email":"","affiliations":[],"preferred":false,"id":716551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jahncke, Jaime","contributorId":152294,"corporation":false,"usgs":false,"family":"Jahncke","given":"Jaime","email":"","affiliations":[{"id":18899,"text":"Point Blue Conservation Science; 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We compiled published and unpublished data on Golden Eagle diets to (1) summarize available information on Golden Eagle diets in the western U.S., (2) compare diets among biogeographic provinces, and (3) discuss implications for conservation planning and future research. We analyzed 35 studies conducted during the breeding season at 45 locations from 1940–2015. Golden Eagle diet differed among western ecosystems. Lower dietary breadth was associated with desert and shrub-steppe ecosystems and higher breadth with mountain ranges and the Columbia Plateau. Correlations suggest that percentage of leporids in the diet is the factor driving overall diversity of prey and percentage of other prey groups in the diet of Golden Eagles. Leporids were the primary prey of breeding Golden Eagles in 78% of study areas, with sciurids reported as primary prey in 18% of study areas. During the nonbreeding season, Golden Eagles were most frequently recorded feeding on leporids and carrion. Golden Eagles can be described as both generalist and opportunistic predators; they can feed on a wide range of prey species but most frequently feed on abundant medium-sized prey species in a given habitat. Spatial variations in Golden Eagle diet likely reflect regional differences in prey community, whereas temporal trends likely reflect responses to long-term change in prey populations. Evidence suggests dietary shifts from traditional (leporid) prey can have adverse effects on Golden Eagle reproductive rates. Land management practices that support or restore shrub-steppe ecosystem diversity should benefit Golden Eagles. More information is needed on nonbreeding-season diet to determine what food resources, such as carrion, are important for overwinter survival.
","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-16-38.1","usgsCitation":"Bedrosian, G., Watson, J.W., Steenhof, K., Kochert, M.N., Preston, C.R., Woodbridge, B., Williams, G.E., Keller, K.R., and Crandall, R.H., 2017, Spatial and temporal patterns in golden eagle diets in the western United States, with implications for conservation planning: Journal of Raptor Research, v. 51, no. 3, p. 347-367, https://doi.org/10.3356/JRR-16-38.1.","productDescription":"21 p.","startPage":"347","endPage":"367","ipdsId":"IP-081561","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":482060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-16-38.1","text":"Publisher Index Page"},{"id":348044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.1123046875,\n 29.19053283229458\n ],\n [\n -102.12890625,\n 29.19053283229458\n ],\n [\n -102.12890625,\n 49.1242192485914\n ],\n [\n -125.1123046875,\n 49.1242192485914\n ],\n [\n -125.1123046875,\n 29.19053283229458\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c78","contributors":{"authors":[{"text":"Bedrosian, Geoffrey","contributorId":198920,"corporation":false,"usgs":false,"family":"Bedrosian","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":717622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watson, James W.","contributorId":198921,"corporation":false,"usgs":false,"family":"Watson","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":717623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":30585,"corporation":false,"usgs":true,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":717624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","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":717621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Preston, Charles R.","contributorId":198922,"corporation":false,"usgs":false,"family":"Preston","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodbridge, Brian","contributorId":198923,"corporation":false,"usgs":false,"family":"Woodbridge","given":"Brian","email":"","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":717626,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Gary E.","contributorId":198924,"corporation":false,"usgs":false,"family":"Williams","given":"Gary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":717627,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keller, Kent R.","contributorId":198925,"corporation":false,"usgs":false,"family":"Keller","given":"Kent","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717628,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crandall, Ross H.","contributorId":198926,"corporation":false,"usgs":false,"family":"Crandall","given":"Ross","email":"","middleInitial":"H.","affiliations":[{"id":6657,"text":"Craighead Beringia South","active":true,"usgs":false}],"preferred":false,"id":717629,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192197,"text":"70192197 - 2017 - A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography","interactions":[],"lastModifiedDate":"2017-10-23T12:15:45","indexId":"70192197","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography","docAbstract":"Quantifying the frequency, duration, and elevation range of fog or cloud immersion is essential to estimate cloud water deposition in water budgets and to understand the ecohydrology of cloud forests. The goal of this study was to develop a low-cost and high spatial-coverage method to detect occurrence of cloud immersion within a mountain cloud forest by using time-lapse photography. Trail cameras and temperature/relative humidity sensors were deployed at five sites covering the elevation range from the assumed lifting condensation level to the mountain peaks in the Luquillo Mountains of Puerto Rico. Cloud-sensitive image characteristics (contrast, the coefficient of variation and the entropy of pixel luminance, and image colorfulness) were used with a k-means clustering approach to accurately detect cloud-immersed conditions in a time series of images from March 2014 to May 2016. Images provided hydrologically meaningful cloud-immersion information while temperature-relative humidity data were used to refine the image analysis using dew point information and provided temperature gradients along the elevation transect. Validation of the image processing method with human-judgment based classification generally indicated greater than 90% accuracy. Cloud-immersion frequency averaged 80% at sites above 900 m during nighttime hours and 49% during daytime hours, and was consistent with diurnal patterns of cloud immersion measured in a previous study. Results for the 617 m site demonstrated that cloud immersion in the Luquillo Mountains rarely occurs at the previously-reported cloud base elevation of about 600 m (11% during nighttime hours and 5% during daytime hours). The framework presented in this paper will be used to monitor at a low cost and high spatial resolution the long-term variability of cloud-immersion patterns in the Luquillo Mountains, and can be applied to ecohydrology research at other cloud-forest sites or in coastal ecosystems with advective sea fog.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2017.04.010","usgsCitation":"Bassiouni, M., Scholl, M.A., Torres-Sanchez, A.J., and Murphy, S.F., 2017, A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography: Agricultural and Forest Meteorology, v. 243, p. 100-112, https://doi.org/10.1016/j.agrformet.2017.04.010.","productDescription":"13 p.","startPage":"100","endPage":"112","ipdsId":"IP-086096","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469543,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2017.04.010","text":"Publisher Index Page"},{"id":438199,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3X52","text":"USGS data release","linkHelpText":"Supplementary Data for Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography"},{"id":347111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"El Yunque National Forest, Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.86647033691406,\n 18.242720598398734\n ],\n [\n -65.70270538330078,\n 18.242720598398734\n ],\n [\n -65.70270538330078,\n 18.34866001012719\n ],\n [\n -65.86647033691406,\n 18.34866001012719\n ],\n [\n -65.86647033691406,\n 18.242720598398734\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"243","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa3e4b0220bbd988f65","contributors":{"authors":[{"text":"Bassiouni, Maoya 0000-0001-5795-9894","orcid":"https://orcid.org/0000-0001-5795-9894","contributorId":197780,"corporation":false,"usgs":true,"family":"Bassiouni","given":"Maoya","affiliations":[],"preferred":false,"id":714696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torres-Sanchez, Angel J. 0000-0002-5595-021X ajtorres@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-021X","contributorId":5623,"corporation":false,"usgs":true,"family":"Torres-Sanchez","given":"Angel","email":"ajtorres@usgs.gov","middleInitial":"J.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","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":714698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192177,"text":"70192177 - 2017 - Causes of distal volcano-tectonic seismicity inferred from hydrothermal modeling","interactions":[],"lastModifiedDate":"2017-11-06T12:48:41","indexId":"70192177","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Causes of distal volcano-tectonic seismicity inferred from hydrothermal modeling","docAbstract":"Distal volcano-tectonic (dVT) seismicity typically precedes eruption at long-dormant volcanoes by days to years. Precursory dVT seismicity may reflect magma-induced fluid-pressure pulses that intersect critically stressed faults. We explored this hypothesis using an open-source magmatic-hydrothermal code that simulates multiphase fluid and heat transport over the temperature range 0 to 1200 °C. We calculated fluid-pressure changes caused by a small (0.04 km3) intrusion and explored the effects of flow geometry (channelized vs. radial flow), magma devolatilization rates (0–15 kg/s), and intrusion depths (5 and 7.5 km, above and below the brittle-ductile transition). Magma and host-rock permeabilities were key controlling parameters and we tested a wide range of permeability (k) and permeability anisotropies (kh/kv), including k constant, k(z), k(T), and k(z, T, P) distributions, examining a total of ~ 1600 realizations to explore the relevant parameter space. Propagation of potentially causal pressure changes (ΔP ≥ 0.1 bars) to the mean dVT location (6 km lateral distance, 6 km depth) was favored by channelized fluid flow, high devolatilization rates, and permeabilities similar to those found in geothermal reservoirs (k ~ 10− 16 to 10− 13 m2). For channelized flow, magma-induced thermal pressurization alone can generate cases of ∆ P ≥ 0.1 bars for all permeabilities in the range 10− 16 to 10− 13 m2, whereas in radial flow regimes thermal pressurization causes ∆ P < 0.1 bars for all permeabilities. Changes in distal fluid pressure occurred before proximal pressure changes given modest anisotropies (kh/kv ~ 10–100). Invoking k(z,T,P) and high, sustained devolatilization rates caused large dynamic fluctuations in k and P in the near-magma environment but had little effect on pressure changes at the distal dVT location. Intrusion below the brittle-ductile transition damps but does not prevent pressure transmission to the dVT site.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.07.011","usgsCitation":"Coulon, C.A., Hsieh, P.A., White, R.A., Lowenstern, J.B., and Ingebritsen, S.E., 2017, Causes of distal volcano-tectonic seismicity inferred from hydrothermal modeling: Journal of Volcanology and Geothermal Research, v. 345, p. 98-108, https://doi.org/10.1016/j.jvolgeores.2017.07.011.","productDescription":"11 p.","startPage":"98","endPage":"108","ipdsId":"IP-087283","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2017.07.011","text":"Publisher Index Page"},{"id":348271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"345","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb74","contributors":{"authors":[{"text":"Coulon, Cecile A.","contributorId":197905,"corporation":false,"usgs":false,"family":"Coulon","given":"Cecile","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Randall A. 0000-0003-4074-8577 rwhite@usgs.gov","orcid":"https://orcid.org/0000-0003-4074-8577","contributorId":1993,"corporation":false,"usgs":true,"family":"White","given":"Randall","email":"rwhite@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":714562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":714561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":714558,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194544,"text":"70194544 - 2017 - Transmission routes maintaining a viral pathogen of steelhead trout within a complex multi-host assemblage","interactions":[],"lastModifiedDate":"2017-12-05T11:03:32","indexId":"70194544","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Transmission routes maintaining a viral pathogen of steelhead trout within a complex multi-host assemblage","docAbstract":"This is the first comprehensive region wide, spatially explicit epidemiologic analysis of surveillance data of the aquatic viral pathogen infectious hematopoietic necrosis virus (IHNV) infecting native salmonid fish. The pathogen has been documented in the freshwater ecosystem of the Pacific Northwest of North America since the 1950s, and the current report describes the disease ecology of IHNV during 2000–2012. Prevalence of IHNV infection in monitored salmonid host cohorts ranged from 8% to 30%, with the highest levels observed in juvenile steelhead trout. The spatial distribution of all IHNV-infected cohorts was concentrated in two sub-regions of the study area, where historic burden of the viral disease has been high. During the study period, prevalence levels fluctuated with a temporal peak in 2002. Virologic and genetic surveillance data were analyzed for evidence of three separate but not mutually exclusive transmission routes hypothesized to be maintaining IHNV in the freshwater ecosystem. Transmission between year classes of juvenile fish at individual sites (route 1) was supported at varying levels of certainty in 10%–55% of candidate cases, transmission between neighboring juvenile cohorts (route 2) was supported in 31%–78% of candidate cases, and transmission from adult fish returning to the same site as an infected juvenile cohort was supported in 26%–74% of candidate cases. The results of this study indicate that multiple specific transmission routes are acting to maintain IHNV in juvenile fish, providing concrete evidence that can be used to improve resource management. Furthermore, these results demonstrate that more sophisticated analysis of available spatio-temporal and genetic data is likely to yield greater insight in future studies.
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Alaska","interactions":[],"lastModifiedDate":"2017-11-07T11:18:10","indexId":"70193030","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Prey partitioning and use of insects by juvenile sockeye salmon and a potential competitor, threespine stickleback, in Afognak Lake, Alaska","docAbstract":"Freshwater growth of juvenile sockeye salmon (Oncorhynchus nerka) depends upon the quality and quantity of prey and interactions with potential competitors in the foraging environment. To a large extent, knowledge about the ecology of lake-rearing juvenile sockeye salmon has emerged from studies of commercially important runs returning to deep nursery lakes, yet information from shallow nursery lakes (mean depth ≤ 10 m) is limited. We examined seasonal and ontogenetic variation in diets of juvenile sockeye salmon (N = 219, 30–85 mm) and an abundant potential competitor, threespine stickleback (Gasterosteus aculeatus; N = 198, 42–67 mm), to understand their foraging ecology and potential trophic interactions in a shallow Alaska lake. This study revealed that adult insects made up 74% of all sockeye salmon diets by weight and were present in 98% of all stomachs in Afognak Lake during the summer of 2013. Diets varied temporally for all fishes, but small sockeye salmon (<60 mm) showed a distinct shift in consumption from zooplankton in early summer to adult insects in late summer. We found significant differences in diet composition between sockeye salmon and threespine stickleback and the origin of their prey indicated that they also separated their use of habitat on a fine scale; however, the two species showed overlap in size selectivity of zooplankton prey. Considering that aquatic insects can be a primary resource for juvenile sockeye salmon in Afognak Lake, we encourage the development of nursery lake carrying capacity models that include aquatic insects as a prey source for sockeye salmon.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12302","usgsCitation":"Richardson, N., Beaudreau, A.H., Wipfli, M.S., and Finkle, H., 2017, Prey partitioning and use of insects by juvenile sockeye salmon and a potential competitor, threespine stickleback, in Afognak Lake, Alaska: Ecology of Freshwater Fish, v. 26, no. 4, p. 586-601, https://doi.org/10.1111/eff.12302.","productDescription":"16 p.","startPage":"586","endPage":"601","ipdsId":"IP-077021","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Afognak Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152.9894256591797,\n 58.08677049395305\n ],\n [\n -152.85261154174805,\n 58.08677049395305\n ],\n [\n -152.85261154174805,\n 58.13682719052186\n ],\n [\n -152.9894256591797,\n 58.13682719052186\n ],\n [\n -152.9894256591797,\n 58.08677049395305\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb6e","contributors":{"authors":[{"text":"Richardson, Natura","contributorId":198967,"corporation":false,"usgs":false,"family":"Richardson","given":"Natura","email":"","affiliations":[],"preferred":false,"id":717710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaudreau, Anne H.","contributorId":198968,"corporation":false,"usgs":false,"family":"Beaudreau","given":"Anne","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":717711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finkle, Heather","contributorId":198969,"corporation":false,"usgs":false,"family":"Finkle","given":"Heather","email":"","affiliations":[],"preferred":false,"id":717712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193035,"text":"70193035 - 2017 - Modeling watershed-scale impacts of stormwater management with traditional versus low impact development design","interactions":[],"lastModifiedDate":"2017-11-20T16:56:01","indexId":"70193035","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Modeling watershed-scale impacts of stormwater management with traditional versus low impact development design","docAbstract":"Stormwater runoff and associated pollutants from urban areas in the greater Chesapeake Bay Watershed (CBW) impair local streams and downstream ecosystems, despite urbanized land comprising only 7% of the CBW area. More recently, stormwater best management practices (BMPs) have been implemented in a low impact development (LID) manner to treat stormwater runoff closer to its source. This approach included the development of a novel BMP model to compare traditional and LID design, pioneering the use of comprehensively digitized storm sewer infrastructure and BMP design connectivity with spatial patterns in a geographic information system at the watershed scale. The goal was to compare total watershed pollutant removal efficiency in two study watersheds with differing spatial patterns of BMP design (traditional and LID), by quantifying the improved water quality benefit of LID BMP design. An estimate of uncertainty was included in the modeling framework by using ranges for BMP pollutant removal efficiencies that were based on the literature. Our model, using Monte Carlo analysis, predicted that the LID watershed removed approximately 78 kg more nitrogen, 3 kg more phosphorus, and 1,592 kg more sediment per square kilometer as compared with the traditional watershed on an annual basis. Our research provides planners a valuable model to prioritize watersheds for BMP design based on model results or in optimizing BMP selection.
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