Documenting fish movement patterns and examining relationships with both fish and habitat characteristics are essential aspects of sound conservation and management. Stream fish movement and habitat use have been associated with a myriad of factors, and variability among individuals is common. Movement and habitat use patterns of juvenile Smallmouth Bass Micropterus dolomieu in streams are poorly understood, particularly for the Neosho subspecies M. dolomieu velox. Our study objective was to determine diel movement patterns and microhabitat use by juvenile Neosho Smallmouth Bass during late autumn. In 2016, we surgically implanted radio transmitters into 13 juvenile Smallmouth Bass in Honey Creek, Oklahoma. We tracked the fish by using radiotelemetry on 41 occasions over the 26‐d tag life and located fish throughout the diel cycle to characterize movement and habitat use. Movement patterns varied among individual fish, with cumulative movements ranging from 33 to 1,302 m. Incremental displacement (the distance moved between two consecutive relocations) increased slightly with warmer water temperatures and increasing fish size. Although there was also considerable individual variation in habitat use patterns, deeper habitats were associated with larger juvenile Smallmouth Bass and daytime. Fish also tended to use higher‐velocity habitats during the day, and this trend increased over the duration of the study. Our results suggest high individual variation in both movement and habitat use by juvenile Neosho Smallmouth Bass across the diel cycle. We show that juvenile Smallmouth Bass move among microhabitats and would benefit from management actions that maintain and promote instream habitat complexity. Future efforts focused on juvenile Smallmouth Bass movement over longer time periods would be beneficial for understanding movement and habitat use dynamics across a greater range of seasonal and environmental variability.
Anthropogenic development of floodplains and alteration to natural hydrological regimes have resulted in extensive loss of off-channel habitat. Interest has grown in restoring these habitats as an effective conservation strategy for numerous aquatic species. This study developed a process to reproducibly identify areas of former stream meanders to assist future off-channel restoration site selections. Three watersheds in Iowa and Minnesota where off-channel restorations are currently being conducted to aid the conservation of the Topeka Shiner (Notropis topeka) were selected as the study area. Floodplain depressions were identified with LiDAR-derived digital elevation models, and their morphologic and topographic characteristics were described. Classification tree models were developed to distinguish relic streams and oxbows from other landscape features. All models demonstrated a strong ability to distinguish between target and non-target features with area under the receiver operator curve (AUC) values ≥ 0.82 and correct classification rates ≥ 0.88. Solidity, concavity, and mean height above channel metrics were among the first splits in all trees. To compensate for the noise associated with the final model designation, features were ranked by their conditional probability. The results of this study will provide conservation managers with an improved process to identify candidate restoration sites.
","language":"English","publisher":"MDPI","doi":"10.3390/rs11010012","usgsCitation":"Zambory, C.L., Ellis, H., Pierce, C., Roe, K., Weber, M.J., Schilling, K.E., and Young, N.C., 2019, The development of a GIS methodology to identify oxbows and former stream meanders from LiDAR-derived digital elevation models: Remote Sensing, v. 11, no. 1, 12, 16 p., https://doi.org/10.3390/rs11010012.","productDescription":"12, 16 p.","ipdsId":"IP-099039","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11010012","text":"Publisher Index Page"},{"id":395216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota","otherGeospatial":"Boone River watershed, North Raccoon River watershed, Rock River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.45996093749999,\n 41.11246878918088\n ],\n [\n -93.01025390625,\n 41.11246878918088\n ],\n [\n -93.01025390625,\n 44.36313311380771\n ],\n [\n -96.45996093749999,\n 44.36313311380771\n ],\n [\n -96.45996093749999,\n 41.11246878918088\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Zambory, Courtney L.","contributorId":264754,"corporation":false,"usgs":false,"family":"Zambory","given":"Courtney","email":"","middleInitial":"L.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Harvest","contributorId":273018,"corporation":false,"usgs":false,"family":"Ellis","given":"Harvest","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":832462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roe, Kevin J.","contributorId":264758,"corporation":false,"usgs":false,"family":"Roe","given":"Kevin J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weber, Michael J.","contributorId":83799,"corporation":false,"usgs":true,"family":"Weber","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Keith E.","contributorId":106429,"corporation":false,"usgs":false,"family":"Schilling","given":"Keith","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":832465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Nathan C.","contributorId":273025,"corporation":false,"usgs":false,"family":"Young","given":"Nathan","email":"","middleInitial":"C.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":832466,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70207165,"text":"70207165 - 2019 - Global sea-level contribution from Arctic land ice: 1971 to 2017","interactions":[],"lastModifiedDate":"2019-12-11T08:09:49","indexId":"70207165","displayToPublicDate":"2018-12-21T08:07:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Global sea-level contribution from Arctic land ice: 1971 to 2017","docAbstract":"The Arctic Monitoring and Assessment Program (AMAP) (AMAP, 2017) identifies the\nArctic as the largest regional source of land ice to global sea-level rise in the 2003 to 2014\nperiod. Yet, this contextualization ignores the longer perspective from in-situ records of\nglacier mass balance. Here, using 18 (> 55 °N latitude) glacier and ice cap mass balance\nseries in the 1971 to 2017 period, we develop a semi-empirical estimate of annual sealevel\ncontribution from seven Arctic regions by scaling the in-situ records to GRACE\naverages. We contend that our estimate represents the most accurate mass balance\nassessment so far available before the 1992 start of satellite altimetry.\nWe estimate the 1971 to 2017 eustatic sea-level contribution from land ice north of\n~55° N to be 23.0±12.3 mm sea-level equivalent (SLE). In all regions, the cumulative sealevel\nrise curves exhibit an acceleration, especially after 1988. Greenland is the source of\n46% of the Arctic sea-level rise contribution (10.6±7.3 mm), followed by Alaska (5.7±2.2\nmm), Arctic Canada (3.2±0.7 mm) and the Russian High Arctic (1.5±0.4 mm).\nOur annual results exhibit co-variability over a 43 year overlap (1971 to 2013) with\nthe alternative dataset of Marzeion et al (2015) (M15). However, we find a 1.36x lower\nsea-level contribution, in agreement with satellite gravimetry.\n The IPCC Fifth Assessment report identified constraining the pre-satellite era sealevel\nbudget as a topic of low scientific understanding that we address and specify sealevel\ncontributions coinciding with IPCC Special Report on the Ocean and Cryosphere in\na Changing Climate (SROCC) “present day” (2005-2015) and “recent past” (1986-2005)\nreference periods. We assess an Arctic land ice loss of 8.3 mm SLE during the recent past\nand 12.4 mm SLE during the present day.","language":"English","publisher":"IOP publishing","doi":"10.1088/1748-9326/aaf2ed","usgsCitation":"Box, J.E., Colgan, W.T., Wouters, B., Burgess, D.O., O’Neel, S., Thomson, L., and Mernild, S., 2019, Global sea-level contribution from Arctic land ice: 1971 to 2017: Environmental Research Letters, v. 13, no. 12, 125012, 11 p., https://doi.org/10.1088/1748-9326/aaf2ed.","productDescription":"125012, 11 p.","ipdsId":"IP-100749","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":468017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aaf2ed","text":"Publisher Index Page"},{"id":370144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Box, Jason E.","contributorId":198809,"corporation":false,"usgs":false,"family":"Box","given":"Jason","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":777109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colgan, William T.","contributorId":172448,"corporation":false,"usgs":false,"family":"Colgan","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":27047,"text":"Dept of Earth and Space Science, York University, Toronto","active":true,"usgs":false}],"preferred":false,"id":777110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wouters, Bert","contributorId":221138,"corporation":false,"usgs":false,"family":"Wouters","given":"Bert","email":"","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":777111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burgess, David","contributorId":221139,"corporation":false,"usgs":false,"family":"Burgess","given":"David","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":777112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":777108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomson, Laura","contributorId":176568,"corporation":false,"usgs":false,"family":"Thomson","given":"Laura","email":"","affiliations":[],"preferred":false,"id":777113,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mernild, Sebastian H","contributorId":221140,"corporation":false,"usgs":false,"family":"Mernild","given":"Sebastian H","affiliations":[{"id":40332,"text":"Nansen Environmental and Remote Sensing Center","active":true,"usgs":false}],"preferred":false,"id":777114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203948,"text":"70203948 - 2019 - Long-term soil-water tension measurements in semi-arid environments: A method for automated tensiometer refilling","interactions":[],"lastModifiedDate":"2019-06-24T16:47:57","indexId":"70203948","displayToPublicDate":"2018-12-20T16:42:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Long-term soil-water tension measurements in semi-arid environments: A method for automated tensiometer refilling","docAbstract":"Tensiometer-equipped data acquisition systems measure and record positive and negative soil-water pressures. These data contribute to studies in hillslope hydrology, including analyses of rainfall runoff, near-surface hydrologic response, and slope stability. However, the unique ability of a tensiometer to rapidly and accurately measure pre- and post-saturation subsurface pressures requires maintenance techniques that have precluded their application to unattended sensor networks in semiarid regions. Under suction, the de-aired water in the tensiometer is drawn from a porous cup. Under positive pressure, dissolved gases from pore water infiltrates the cup. Over time, both contribute to unreliable readings and/or poor signal response through cavitation. To address this problem, we used commercially available equipment to develop a simple system of solenoid valves and a water reservoir that enable automated in situ tensiometer refilling. We tested the system at two post-wildfire hydrologic monitoring sites in the Angeles National Forest, southern California. We present example results from 3 mo of monitoring and show how the tensiometers can be refilled by a remote trigger. By remotely refilling the tensiometer, we were able to continuously monitor quasi-saturated soil pore-water pressures without making repeated and costly maintenance visits.
","language":"English","publisher":"Soil Science Society of America, Inc","doi":"10.2136/vzj2018.04.0070","usgsCitation":"Smith, J.B., and Kean, J.W., 2019, Long-term soil-water tension measurements in semi-arid environments: A method for automated tensiometer refilling: Vadose Zone Journal, v. 17, no. 1, 180070; 5 p., https://doi.org/10.2136/vzj2018.04.0070.","productDescription":"180070; 5 p.","ipdsId":"IP-102211","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468018,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2018.04.0070","text":"Publisher Index Page"},{"id":437612,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98G0FS2","text":"USGS data release","linkHelpText":"Hillslope hydrologic monitoring data following the 2009 Station Fire, Los Angeles County, California, November 2015 to June 2017"},{"id":364974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764901,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203609,"text":"70203609 - 2019 - UZIG research: Measurement and characterization of unsaturated zone processes under wide-ranging climates and changing conditions","interactions":[],"lastModifiedDate":"2019-05-23T15:21:55","indexId":"70203609","displayToPublicDate":"2018-12-20T15:19:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"UZIG research: Measurement and characterization of unsaturated zone processes under wide-ranging climates and changing conditions","docAbstract":"Unsaturated zone properties and processes are central to understanding the interacting effects of land-use change, contamination, and hydroclimate on our ability to grow food, sustain clean water supplies, and minimize loss of life and property. Advances in unsaturated zone science are being achieved through collaborations across traditional boundaries where information from biological, physical, and chemical disciplines is combined for new insights. The Unsaturated Zone Interest Group (UZIG) is an organization that exists principally to promote multidisciplinary collaborations and the sharing of ideas, expertise, and technical assets. Here we summarize key findings from 14 papers, several of which originated from a meeting convened by UZIG in 2017 at the University of Florida in Gainesville titled “Land-Use Change, Climate Change, and Hydrologic Extremes: Unsaturated Zone Responses and Feedbacks.” This special section of Vadose Zone Journal contains multidisciplinary research in three general categories relevant to measuring and understanding unsaturated zone responses to changing land uses and climate: (i) unsaturated zone properties and processes; (ii) soil–plant–atmosphere interactions; and (iii) novel field sampling devices. A strong cross-cutting theme in these papers is the value of continuous monitoring data and ways of utilizing them to discover novel hydrologic, biologic, and pedologic information. As climatic and land-use conditions change and demands for resources and stresses on ecosystems continue to intensify, it is vital to improve our fundamental understanding of the processes at work in the unsaturated zone. Toward that goal, we discuss the need for improved ground-based unsaturated zone monitoring networks.
","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2018.11.0198","usgsCitation":"Trost, J.J., Mirus, B.B., Perkins, K., Henson, W.R., Nimmo, J.R., and Munoz-Carpena, R., 2019, UZIG research: Measurement and characterization of unsaturated zone processes under wide-ranging climates and changing conditions: Vadose Zone Journal, v. 17, no. 1, 5 p., https://doi.org/10.2136/vzj2018.11.0198.","productDescription":"5 p.","ipdsId":"IP-102646","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2018.11.0198","text":"Publisher Index Page"},{"id":364135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":763262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Kimberlie 0000-0001-8349-447X kperkins@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":138544,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":763263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":763265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Munoz-Carpena, Rafael","contributorId":215860,"corporation":false,"usgs":false,"family":"Munoz-Carpena","given":"Rafael","email":"","affiliations":[{"id":39322,"text":"University of Florida at Gainesville","active":true,"usgs":false}],"preferred":false,"id":763266,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201661,"text":"70201661 - 2019 - Use of blood clotting assays to assess potential anticoagulant rodenticide exposure and effects in free-ranging birds of prey","interactions":[],"lastModifiedDate":"2018-12-20T10:26:37","indexId":"70201661","displayToPublicDate":"2018-12-20T10:26:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Use of blood clotting assays to assess potential anticoagulant rodenticide exposure and effects in free-ranging birds of prey","docAbstract":"Non-target wildlife, particularly birds of prey, are widely exposed to and acutely poisoned by anticoagulant rodenticides (ARs). An unresolved issue surrounding such exposure, however, is the potential for sublethal effects. In particular, the consequences of AR exposure and resulting coagulopathy on health and survival of unintentionally exposed animals, which often encounter a multitude of anthropogenic stressors, are understudied. In a wildlife rehabilitation setting, AR intoxication may be masked by more obvious injuries related to collision with vehicles or electrocution, thereby obfuscating proximate from ultimate cause of mortality. An assessment of coagulation function of admitted wildlife may provide a means of identifying animals exhibiting sublethal coagulopathy, and ultimately ensuring provision of appropriate and swift treatment. In conjunction with routine diagnostics for injury and disease, we performed two blood clotting assays (prothrombin time, Russell's viper venom time) affected by vitamin K-dependent coagulopathy of samples from six species of live raptors admitted to a rehabilitation facility. We also measured clotting time in pre-fledgling barn owl chicks (Tyto furcata) from 10 nest sites in Lower Mainland Canada. Prolonged clotting time or failure to form a clot altogether was observed in 23.0% of 61 sampled raptors admitted to the rehabilitation facility. This is a biologically significant proportion of individuals given the fortuitous and likely biased nature by which raptors are found and admitted to rehabilitation facilities. In contrast, there was little evidence of coagulopathy in 19 pre-fledgling barn owl chicks. The utility of avian coagulation tests for diagnosing AR exposure is promising, yet there remains a need to establish species specific reference values and standardize assay methodologies among testing facilities.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.485","usgsCitation":"Hindmarch, S., Rattner, B.A., and Elliott, J.E., 2019, Use of blood clotting assays to assess potential anticoagulant rodenticide exposure and effects in free-ranging birds of prey: Science of the Total Environment, v. 657, p. 1205-1216, https://doi.org/10.1016/j.scitotenv.2018.11.485.","productDescription":"12 p.","startPage":"1205","endPage":"1216","ipdsId":"IP-099736","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.485","text":"Publisher Index Page"},{"id":360606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"657","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb859e4b0708288c837f7","contributors":{"authors":[{"text":"Hindmarch, Sofi","contributorId":211738,"corporation":false,"usgs":false,"family":"Hindmarch","given":"Sofi","email":"","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":754760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":754759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John E.","contributorId":211739,"corporation":false,"usgs":false,"family":"Elliott","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":754761,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201645,"text":"70201645 - 2019 - Efficient hydrogeological characterization of remote stream corridors using drones","interactions":[],"lastModifiedDate":"2019-01-28T08:22:18","indexId":"70201645","displayToPublicDate":"2018-12-19T15:25:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Efficient hydrogeological characterization of remote stream corridors using drones","docAbstract":"This project demonstrates the successful use of small unoccupied aircraft system (sUASs) for hydrogeological characterization of a remote stream reach in a rugged mountain terrain. Thermal infrared, visual imagery, and derived digital surface models are used to inform conceptual models of groundwater/surface‐water exchange and efficiently geolocate zones of preferential groundwater discharge that can be quantified using various ground‐based methodology.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13332","usgsCitation":"Briggs, M.A., Dawson, C.B., Holmquist-Johnson, C., Williams, K.H., and Lane, J.W., 2019, Efficient hydrogeological characterization of remote stream corridors using drones: Hydrological Processes, v. 33, no. 2, p. 316-319, https://doi.org/10.1002/hyp.13332.","productDescription":"4 p.","startPage":"316","endPage":"319","ipdsId":"IP-102696","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1491213","text":"Publisher Index Page"},{"id":360579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-19","publicationStatus":"PW","scienceBaseUri":"5c1b66e5e4b0708288c71d28","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":754691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Cian B. cbdawson@usgs.gov","contributorId":1890,"corporation":false,"usgs":true,"family":"Dawson","given":"Cian","email":"cbdawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":754692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687 h-johnsonc@usgs.gov","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":168648,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","email":"h-johnsonc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":754693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Kenneth H. 0000-0002-3568-1155","orcid":"https://orcid.org/0000-0002-3568-1155","contributorId":176791,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":754694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":754695,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201642,"text":"70201642 - 2019 - The planktonic foraminiferal response to the Paleocene-Eocene thermal maximum on the Atlantic coastal plain","interactions":[],"lastModifiedDate":"2018-12-19T14:04:10","indexId":"70201642","displayToPublicDate":"2018-12-19T14:04:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"The planktonic foraminiferal response to the Paleocene-Eocene thermal maximum on the Atlantic coastal plain","docAbstract":"Planktonic foraminiferal assemblages in two cores from Maryland and New Jersey show evidence for significant changes in surface ocean habitats on the continental shelf during the Paleocene-Eocene Thermal Maximum (PETM). At both sites, significant assemblage shifts occur immediately before the onset of the event. These changes include the appearance of abundant triserial/biserial species as well as rare excursion taxa, which are limited to the interval of the carbon isotope excursion at deep-sea sites. The assemblage shifts signal the development of new habitats immediately prior to the onset of the PETM, likely involving warming, surface ocean acidification, increased stratification and oligotrophy. A sharp increase in diversity at the onset of the event is interpreted as a further increase in stratification and warming, as well as increased water depth and more eutrophic conditions. Finally, we observe variant morphologies of several planktonic foraminifera, which may also signal the response of the assemblage to environmental perturbation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2018.12.001","usgsCitation":"Livsey, C.M., Babila, T., Robinson, M.M., and Bralower, T., 2019, The planktonic foraminiferal response to the Paleocene-Eocene thermal maximum on the Atlantic coastal plain: Marine Micropaleontology, v. 146, p. 39-50, https://doi.org/10.1016/j.marmicro.2018.12.001.","productDescription":"12 p.","startPage":"39","endPage":"50","ipdsId":"IP-095753","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":360567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic coastal plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78,\n 36\n ],\n [\n -74,\n 36\n ],\n [\n -74,\n 40\n ],\n [\n -78,\n 40\n ],\n [\n -78,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1b66e3e4b0708288c71d1e","contributors":{"authors":[{"text":"Livsey, Caitlin M.","contributorId":211721,"corporation":false,"usgs":false,"family":"Livsey","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babila, Tali","contributorId":211722,"corporation":false,"usgs":false,"family":"Babila","given":"Tali","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":754684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":754682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bralower, Timothy J.","contributorId":195144,"corporation":false,"usgs":false,"family":"Bralower","given":"Timothy J.","affiliations":[],"preferred":false,"id":754685,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204242,"text":"70204242 - 2019 - Estimating occurrence, prevalence, and detection of amphibian pathogens: Insights from occupancy models","interactions":[],"lastModifiedDate":"2019-07-16T10:40:25","indexId":"70204242","displayToPublicDate":"2018-12-19T10:26:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occurrence, prevalence, and detection of amphibian pathogens: Insights from occupancy models","docAbstract":"Understanding the distribution of pathogens across landscapes and their prevalence within host populations is a common aim of wildlife managers. Despite the need for unbiased estimates of pathogen occurrence and prevalence for planning effective management interventions, many researchers fail to account for imperfect pathogen detection. Instead raw data are often reported, which may lead to ineffective, or even detrimental, management actions. We illustrate the utility of occupancy models for generating unbiased estimates of disease parameters by 1) providing a written tutorial describing how to fit these models in Program PRESENCE and 2) presenting a case study with the pathogen ranavirus. We analyzed ranavirus detection data from a wildlife refuge (Maryland, US) using occupancy modeling, which yields unbiased estimates of pathogen occurrence and prevalence. We found ranavirus prevalence was underestimated by up to 30% if imperfect pathogen detection was ignored. The unbiased estimate of ranavirus prevalence in larval wood frog (Lithobates sylvaticus; 0.73) populations was higher than in larval spotted salamander (Ambystoma maculatum; 0.56) populations. In addition, the odds of detecting ranavirus in tail samples were 6.7 times higher than detecting ranavirus in liver samples. Therefore, tail samples presented a nonlethal sampling method for ranavirus that may be able to detect early (nonsystemic) infections.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2018-02-042","usgsCitation":"Mosher, B.A., Brand, A., Wiewel, A., Miller, D., Gray, M., Miller, D.L., and Campbell Grant, E.H., 2019, Estimating occurrence, prevalence, and detection of amphibian pathogens: Insights from occupancy models: Journal of Wildlife Diseases, v. 55, no. 3, p. 563-575, https://doi.org/10.7589/2018-02-042.","productDescription":"13 p.","startPage":"563","endPage":"575","ipdsId":"IP-074863","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":365579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Patuxent Research Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.82807922363281,\n 39.06571441680544\n ],\n [\n -76.82275772094727,\n 39.06371515917004\n ],\n [\n -76.82842254638672,\n 39.05958318062962\n ],\n [\n -76.82292938232422,\n 39.0518517325806\n ],\n [\n -76.82533264160156,\n 39.0487855791302\n ],\n [\n -76.8244743347168,\n 39.04438608298337\n ],\n [\n -76.83134078979492,\n 39.04065296228084\n ],\n [\n -76.82481765747069,\n 39.03371950048907\n ],\n [\n -76.82172775268555,\n 39.013715318365406\n ],\n [\n -76.81159973144531,\n 39.00904686141452\n ],\n [\n -76.80610656738281,\n 39.01144782062009\n ],\n [\n -76.80438995361328,\n 39.016649619293\n ],\n [\n -76.79924011230469,\n 39.01398207802642\n ],\n [\n -76.79683685302734,\n 39.01798335219163\n ],\n [\n -76.78104400634766,\n 39.022117764305015\n ],\n [\n -76.77572250366211,\n 39.028652309716236\n ],\n [\n -76.75718307495117,\n 39.0374529875311\n ],\n [\n -76.75134658813477,\n 39.03558626866692\n ],\n [\n -76.7398452758789,\n 39.04638588792801\n ],\n [\n -76.73709869384766,\n 39.05518435709179\n ],\n [\n -76.72164916992188,\n 39.07291127545158\n ],\n [\n -76.72525405883789,\n 39.07984089017707\n ],\n [\n -76.72319412231445,\n 39.08703630823101\n ],\n [\n -76.7530632019043,\n 39.08783575382141\n ],\n [\n -76.74568176269531,\n 39.08663658203791\n ],\n [\n -76.74808502197266,\n 39.08290569500107\n ],\n [\n -76.75975799560547,\n 39.08397168286113\n ],\n [\n -76.76422119140625,\n 39.08050716342113\n ],\n [\n -76.7705726623535,\n 39.08543738986714\n ],\n [\n -76.76799774169922,\n 39.091832845856075\n ],\n [\n -76.78258895874023,\n 39.08890166718027\n ],\n [\n -76.80490493774414,\n 39.092499005837915\n ],\n [\n -76.83065414428711,\n 39.06838000557286\n ],\n [\n -76.82807922363281,\n 39.06571441680544\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mosher, B. A.","contributorId":216927,"corporation":false,"usgs":false,"family":"Mosher","given":"B.","email":"","middleInitial":"A.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":766136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brand, Adrianne","contributorId":216928,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":766137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiewel, ANM","contributorId":216929,"corporation":false,"usgs":false,"family":"Wiewel","given":"ANM","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":766138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, D. A. W.","contributorId":216930,"corporation":false,"usgs":false,"family":"Miller","given":"D. A. W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":766139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, MT","contributorId":216931,"corporation":false,"usgs":false,"family":"Gray","given":"MT","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":766140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Debra L.","contributorId":192524,"corporation":false,"usgs":false,"family":"Miller","given":"Debra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":766141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":766135,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204433,"text":"70204433 - 2019 - Pitfall traps: A review of methods for estimating arthropod abundance","interactions":[],"lastModifiedDate":"2019-07-23T15:35:16","indexId":"70204433","displayToPublicDate":"2018-12-18T15:32:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Pitfall traps: A review of methods for estimating arthropod abundance","docAbstract":"Pitfall traps are commonly used in diet studies for insectivorous and omnivorous wildlife. Pitfall trap methodologies and designs vary tremendously among studies and investigators, and this variation and lack of standardization limits scientists’ abilities to compare their results to others. We conducted a literature review to identify the most common methods used by past investigators who placed pitfall traps for the purpose of quantifying indices of arthropod abundances, and we used this information to guide our proposal for standardized pitfall trapping methods. We documented the pitfall trap methods of 257 studies published between Jan 1994 and Mar 2016 in 107 scientific journals. Pitfall trap methods varied greatly across the time period we investigated. We found only minor differences in the pitfall trapping methods most commonly used in different vegetative communities (e.g., preservative use was less frequent for pitfall trap studies in grasslands). Studies published in wildlife journals tended to use pitfall traps of larger diameters than studies published in other disciplines, and they had worse rates of methodological reporting than those in entomology journals. We did not detect a decline in negligent reporting over time; >1 key methodological detail was missing from >50% of studies regardless of the decade published.","language":"English","publisher":"Wiley","doi":"10.1002/wsb.928","usgsCitation":"Conway, C.J., and Hohbein, R., 2019, Pitfall traps: A review of methods for estimating arthropod abundance: Wildlife Society Bulletin, v. 42, no. 4, p. 597-606, https://doi.org/10.1002/wsb.928.","productDescription":"10 p.","startPage":"597","endPage":"606","ipdsId":"IP-082471","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":499852,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/54ef8a058f094fa487a88231e051f123","text":"External Repository"},{"id":365899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":766895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hohbein, Rhianna","contributorId":217492,"corporation":false,"usgs":false,"family":"Hohbein","given":"Rhianna","email":"","affiliations":[],"preferred":false,"id":766935,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201613,"text":"70201613 - 2019 - Salt marsh ecosystem restructuring enhances elevation resilience and carbon storage during accelerating relative sea-level rise","interactions":[],"lastModifiedDate":"2018-12-18T14:34:37","indexId":"70201613","displayToPublicDate":"2018-12-18T14:34:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Salt marsh ecosystem restructuring enhances elevation resilience and carbon storage during accelerating relative sea-level rise","docAbstract":"Salt marshes respond to sea-level rise through a series of complex and dynamic bio-physical feedbacks. In this study, we found that sea-level rise triggered salt marsh habitat restructuring, with the associated vegetation changes enhancing salt marsh elevation resilience. A continuous record of marsh elevation relative to sea level that includes reconstruction of high-resolution, sub-decadal, marsh elevation over the past century, coupled with a lower-resolution 1500-year record, revealed that relative sea-level rose 1.5 ± 0.4 m, following local glacial isostatic adjustment (1.2 mm/yr). As sea-level rise has rapidly accelerated, the high marsh zone dropped 11 cm within the tidal frame since 1932, leading to greater inundation and a shift to flood- and salt-tolerant low marsh species. Once the marsh platform fell to the elevation favored by low-marsh Spartina alterniflora, the elevation stabilized relative to sea level. Currently low marsh accretion keeps pace with sea-level rise, while present day high marsh zones that have not transitioned to low marsh have a vertical accretion deficit. Greater biomass productivity, and an expanding subsurface accommodation space favorable for salt marsh organic matter preservation, provide a positive feed-back between sea-level rise and marsh platform elevation. Carbon storage was 46 ± 28 g C/m2/yr from 550 to 1800 CE, increasing to 129 ± 50 g C/m2/yr in the last decade. Enhanced carbon storage is controlled by vertical accretion rates, rather than soil carbon density, and is a direct response to anthropogenic eustatic sea-level rise, ultimately providing a negative feedback on climate warming.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2018.11.003","usgsCitation":"Gonneea Eagle, M., Maio, C.V., Kroeger, K.D., Hawkes, A.D., Mora, J., Sullivan, R., Madsen, S., Buzard, R., Cahill, N., and Donnelly, J.P., 2019, Salt marsh ecosystem restructuring enhances elevation resilience and carbon storage during accelerating relative sea-level rise: Estuarine, Coastal and Shelf Science, v. 217, p. 56-68, https://doi.org/10.1016/j.ecss.2018.11.003.","productDescription":"13 p.","startPage":"56","endPage":"68","ipdsId":"IP-102548","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2018.11.003","text":"Publisher Index Page"},{"id":360503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.58698654174805,\n 41.542377051288376\n ],\n [\n -70.48965454101562,\n 41.542377051288376\n ],\n [\n -70.48965454101562,\n 41.58245119860674\n ],\n [\n -70.58698654174805,\n 41.58245119860674\n ],\n [\n -70.58698654174805,\n 41.542377051288376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"217","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1a152de4b0708288c2350b","contributors":{"authors":[{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":754541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maio, Christopher V.","contributorId":208635,"corporation":false,"usgs":false,"family":"Maio","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":754542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":754543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkes, Andrea D.","contributorId":192811,"corporation":false,"usgs":false,"family":"Hawkes","given":"Andrea","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":754544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mora, Jordan","contributorId":208060,"corporation":false,"usgs":false,"family":"Mora","given":"Jordan","email":"","affiliations":[{"id":37699,"text":"Waquoit Bay National Estuarine Research Reserve, Waquoit, Mass","active":true,"usgs":false}],"preferred":false,"id":754545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Richard","contributorId":211625,"corporation":false,"usgs":false,"family":"Sullivan","given":"Richard","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":754546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Madsen, Stephanie","contributorId":211626,"corporation":false,"usgs":false,"family":"Madsen","given":"Stephanie","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":754547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buzard, Richard M.","contributorId":208627,"corporation":false,"usgs":false,"family":"Buzard","given":"Richard M.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":754548,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cahill, Niamh","contributorId":150754,"corporation":false,"usgs":false,"family":"Cahill","given":"Niamh","email":"","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":754549,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Donnelly, Jeffrey P.","contributorId":192783,"corporation":false,"usgs":false,"family":"Donnelly","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":754550,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203775,"text":"70203775 - 2019 - Evaluating consumptive and nonconsumptive predator effects on prey density using field times series data","interactions":[],"lastModifiedDate":"2019-06-12T08:55:18","indexId":"70203775","displayToPublicDate":"2018-12-18T09:48:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating consumptive and nonconsumptive predator effects on prey density using field times series data","docAbstract":"Determining the degree to which predation affects prey abundance in natural communities constitutes a key goal of ecological research. Predators can affect prey through both consumptive effects (CEs) and nonconsumptive effects (NCEs), although the contributions of each mechanism to the density of prey populations remain largely hypothetical in most systems. Common statistical methods applied to time series data cannot elucidate the mechanisms responsible for hypothesized predator effects on prey density (e.g., differentiate CEs from NCEs), nor provide parameters for predictive models. State space models (SSMs) applied to time series data offer a way to meet these goals. Here, we employ SSMs to assess effects of an invasive predatory zooplankter, Bythotrephes longimanus, on an important prey species, Daphnia mendotae, in Lake Michigan. We fit mechanistic models in a SSM framework to seasonal time series (1994-2012) using a recently developed, maximum likelihood-based optimization method, iterated filtering, which can overcome challenges in ecological data (e.g. nonlinearities, measurement error, and irregular sampling intervals). Our results indicate that B. longimanus strongly influences D. mendotae dynamics, with mean annual peak densities of B. longimanus observed in Lake Michigan estimated to cause a 61% reduction in D. mendotae population growth rate and a 59% reduction in peak biomass density. Further, the observed B. longimanus effect is most consistent with an NCE via reduced birth rates. The SSM approach also provided estimates for key biological parameters (e.g., demographic rates) and the contribution of dynamic stochasticity and measurement error. Our study therefore provides evidence derived directly from survey data that the invasive zooplankter B. longimanus is affecting zooplankton demographics and offer parameter estimates needed to inform predictive models that explore the effect of B. longimanus under different scenarios such as climate change.","language":"English","publisher":"ESA","doi":"10.1002/ecy.2583","usgsCitation":"Marino, J.A., Peacor, S.D., Bunnell, D., Vanderploeg, H.A., Pothoven, S.A., Elgin, A.K., Bence, J., Jiao, J., and Ionides, E.L., 2019, Evaluating consumptive and nonconsumptive predator effects on prey density using field times series data: Ecology, v. 100, no. 3, Article e02583, 14 p., https://doi.org/10.1002/ecy.2583.","productDescription":"Article e02583, 14 p.","ipdsId":"IP-096682","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":488820,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/148243","text":"External Repository"},{"id":364584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marino, John A.","contributorId":216168,"corporation":false,"usgs":false,"family":"Marino","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":17862,"text":"Bradley University","active":true,"usgs":false}],"preferred":false,"id":764074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacor, Scott D.","contributorId":216169,"corporation":false,"usgs":false,"family":"Peacor","given":"Scott","email":"","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":764075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":216167,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":764073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderploeg, Henry A.","contributorId":195891,"corporation":false,"usgs":false,"family":"Vanderploeg","given":"Henry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":764076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":764077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elgin, Ashley K.","contributorId":216170,"corporation":false,"usgs":false,"family":"Elgin","given":"Ashley","email":"","middleInitial":"K.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":764078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":764079,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jiao, J.","contributorId":216171,"corporation":false,"usgs":false,"family":"Jiao","given":"J.","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":764080,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ionides, Edward L.","contributorId":216172,"corporation":false,"usgs":false,"family":"Ionides","given":"Edward","email":"","middleInitial":"L.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":764081,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70206271,"text":"70206271 - 2019 - On the contribution of waves to total coastal water level changes in the context of sea level rise: a response to Melet, et al. (2018)","interactions":[],"lastModifiedDate":"2019-10-29T08:28:48","indexId":"70206271","displayToPublicDate":"2018-12-18T08:28:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1246,"text":"Climate Change","onlineIssn":"1573-1480","printIssn":"0165-0009","active":true,"publicationSubtype":{"id":10}},"title":"On the contribution of waves to total coastal water level changes in the context of sea level rise: a response to Melet, et al. (2018)","docAbstract":"Response to Melet, A., Meyssignac, B., Almar, R. & Le Cozannet, G. Under-estimated wave contribution to coastal sea-level rise. Nat. Clim. Change 8, 234–239 (2018).\n\nIn a recent paper, Melet et al.1 claim that the contribution of wind-waves to coastal sea-level rise has been under-estimated. Although we agree with the overall premise that coastal wind-wave dynamics are important when assessing the full coastal impacts of sea-level rise, we argue that the paper is misleading.\n\nIncreasing development such as roads and houses will alter future landscapes and result in biological, social, and economic trade-offs. Managing development requires information on the public’s acceptability of development and understanding which factors shape acceptability. In this study, we examined three questions: 1) What is the public’s acceptability of development? 2) Is acceptability of development influenced by wildlife information? and 3) Is the maximum amount of acceptable development influenced by views about wildlife, involvement in outdoor recreation, and demographic factors? We conducted a visual-preference survey of 9,000 households in Vermont, USA that asked about acceptable levels of development, acceptability of wildlife, involvement in recreation, and individual and town demographics. The survey response rate was 44%. Maximum acceptable condition (MAC) for development was 41 houses/km2 and not meaningfully influenced by broader consequences of development on seven common wildlife species. MAC was influenced by views on individual species, including bear and coyote, but not by other species such as deer, fox, and bobcat. Respondents with a positive attitude toward bear favored less development, whereas the opposite relationship existed for coyote. Similarly, MAC was negatively influenced by involvement in birding and hunting, but not by other common recreational activities. Among demographic factors, respondents that were younger and not born in Vermont were more accepting of development. Population density also positively influenced development acceptability. Results provide measures of the public’s acceptability of development that can help guide decision-making about development, wildlife, and recreation management.
Concerns have been raised regarding the practice of exposing fish to air during catch-and-release (C&R) angling. The purpose of this study was to evaluate the effects of air exposure on short- and long-term survival and progeny production of Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri. Prespawn adults were sampled at a weir during upstream migration in 2016 and 2017, exposed to a simulated angling event of 102 s, and then exposed to air for a randomly selected duration of 0, 30, or 60 s. An additional control group was added during 2017 in which fish were not exposed to simulated angling or air. In total, 1,519 fish were sampled in 2016, and 744 fish were sampled in 2017. Additionally, age-0 fish (2016: n = 2,924; 2017: n = 1,492) were collected to evaluate the effects of air exposure on the production of progeny. No effect of angling itself or of angling and air exposure was observed on short-term (≤60 d posttreatment) or long-term (>1 year posttreatment) survival of adults, with one exception. During 2016, fish that had been air exposed for 60 s had a statistically higher short-term survival rate than fish that received no air exposure. Air exposure had no effect on the proportion of fish that successfully spawned. Regression analysis revealed that neither angling nor air exposure affected progeny production. Considering that much of the literature, as well as this study, reports little to no influence of air exposure on salmonid mortality or reproductive success, it seems highly unlikely that air exposure of less than 60 s during C&R angling would have negative population-level effects.
The glacial aquifer system, which is a collection of aquifers within Quaternary sediments in the glaciated conterminous United States, is a principal aquifer that supplies groundwater that serves about 42 million people and accounts for about 5 percent of the Nation’s drinking water. This aquifer system (the area of maximum glacial advance) underlies parts of 25 States and covers 1.87×106 square kilometers. A hydrogeologic framework is presented that divides the glaciated United States into 17 distinct hydrogeologic terranes using a geologic approach based on previous mapping. Each hydrogeologic terrane contains Quaternary sediment that is derived from a common depositional history and can be characterized by similar texture and thickness. Characteristics of Quaternary sediments are described using attributes computed from a lithologic database of well logs compiled from 24 States (excluding Kentucky). The hydrogeologic framework presents a nationwide picture of the glacial aquifer system and provides generalizations concerning the nature of aquifers within it (for example, whether the aquifers are shallow or deep, and unconfined or confined). In this way insights can be gained from understanding the similarities and differences in distinct parts of the glacial aquifer system and how they relate to water use and quality and to aquifer vulnerability.
Delineation of hydrogeologic terranes was based on an interpretation of existing geologic mapping of Quaternary sediments and the thickness of unconsolidated material. Overall thickness of Quaternary sediment was used to qualitatively rank the generalized complexity of the hydrogeologic framework in each terrane: “lower” complexity (assigned a terrane code 1), “moderate” complexity (terrane code 2), and “higher” complexity (terrane code 3). Letter designations appended to the terrane codes (for example, 1A, 1B, or 1C) differentiate terranes of similar complexity. Two unique areas, where thick, stratified, coarse-grained sediment dominates, were assigned terrane code 4.
Elements of this hydrogeologic framework include a glacial environments and surficial sediments geodatabase, which includes lithologic, geomorphic, and stratigraphic characterization of Quaternary sediments based on previous mapping; a gridded database of sediment and aquifer characteristics computed from lithologic logs obtained from water-well driller records; a water-use database with information on public-water supply systems and sources of groundwater; and estimated recharge computed from a geologically based soil-water balance model. A generalized map of the bedrock geology based on previous State-level mapping is included as well.
Quaternary sediment in the glaciated United States includes glacial, postglacial (Holocene) and nonglacial sediments. At land surface, 60 percent of the glacial sediment is till. Large areas of outwash and ice contact sediments are extensive throughout the Midwest but generally are confined to valleys in the Northeast and the Northwest. Lacustrine sediments were deposited in proglacial lakes adjacent to the present Great Lakes and in glacial Lake Agassiz in the eastern Dakotas and northwestern Minnesota. The median thickness of Quaternary sediment ranges from 6 to 45 meters across the 17 hydrogeologic terranes, but the maximum thickness is more than 500 meters in some areas. Quaternary sediments generally contain less than 10 percent coarse material; the median range is near zero percent under till to about 50 percent under ice contact and outwash sediments. About 80 percent of the coarse material lies within 25 to 40 meters of land surface.
In most of the glaciated United States, there is a small likelihood of penetrating an aquifer-material interval containing coarse material at least 3 meters thick. A single aquifer-material interval was recorded in about 44 percent of lithologic logs, whereas about 11 percent of the logs penetrated multiple intervals. About 44 percent of water wells in the lithologic database are completed in Quaternary sediment, and many of these Quaternary water wells (42 percent) are confined by at least 7.5 meters of fine materials. About 33 percent of these Quaternary water wells are unconfined—the remainder are where only thin layers (less than 3 meters) of coarse material are present. The median depths of Quaternary water wells range from 13 to 40 meters among the 17 hydrogeologic terranes.
Recharge ranges from more than 400 millimeters per year in the Northeast to 11 millimeters or less per year in the Dakotas and Montana (median value of 136 millimeters per year). Annual groundwater withdrawals compiled by county range on an areal basis from less than 1 to 370 millimeters per year, and the mean is 7.4 millimeters per year. About 36 percent of the withdrawals are for public-water supply, of which 70 percent are derived from Quaternary sediments. Groundwater withdrawals are less than 10 percent of recharge throughout most of the glaciated conterminous United States but are a larger proportion of recharge near urban areas in the Northeast and the Midwest, and in counties throughout drier parts of the Midwest.
The salient characteristics of the 17 hydrogeologic terranes are presented through maps and a set of descriptive plots to facilitate visual comparisons between selected sediment and aquifer characteristics. The thickness of Quaternary sediment generally increases from the lower complexity terranes through the higher complexity terranes, consistent with their delineation. Median proportions of coarse material in Quaternary sediment and depths to aquifer-material intervals are highly variable (less than 10 to 50 percent, and 0 to 30 meters, respectively). Median thicknesses of aquifer-material intervals generally fall within a narrow range (10 to 20 meters), except in two terranes that contain thick coarse-grained sediment (30 to 35 meters). The source of water in wells varies from mostly bedrock wells in the lower complexity terranes to mostly Quaternary wells in the higher complexity terranes where the sediment is thickest. A tree diagram compiled from a hierarchical cluster analysis of a matrix composed of metrics based on sediment and aquifer characteristics, and the distribution of water wells in each terrane, indicates some groups of terranes that can be treated as comparable when analyzing groundwater flow and quality.
Aquifer-material intervals indicated on maps prepared from the lithologic logs, including unconfined and confined conditions, correlate well with aquifer systems delineated on state maps for Illinois, Indiana, and North Dakota. The large scale of the study limits the resolution at which the maps can be interpreted, however, and alluvial units are not mapped correctly for some valleys in the Northeast and the Northwest. Lithologic logs used in the study are biased toward shallow depths because not all logs penetrate the entire thickness of Quaternary sediment, but this bias should not limit the utility of the sediment and aquifer descriptions because shallow depths are commonly exploited for water supply. The hydrogeologic framework will support ongoing studies of groundwater flow and quality in the U.S. Geological Survey National Water Quality Assessment program for the glaciated United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185091","usgsCitation":"Yager, R.M., Kauffman, L.J., Soller, D.R., Haj, A.E., Heisig, P.M., Buchwald, C.A., Westenbroek, S.M., and Reddy, J.E., 2019, Characterization and occurrence of confined and unconfined aquifers in Quaternary sediments in the glaciated conterminous United States (ver. 1.1, February 2019): U.S. Geological Survey Scientific Investigations Report 2018–5091, 90 p., https://doi.org/10.3133/sir20185091.","productDescription":"Report: ix, 90 p.; Interactive Leaflet maps; Data releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081249","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":359750,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71R6PQG","text":"USGS data release","description":"USGS data release","linkHelpText":"Databases used to develop a hydrogeologic framework for Quaternary sediments in the glaciated conterminous United States"},{"id":359748,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/ds1090","text":"Data Series 1090","linkHelpText":"- Hydrogeologic Framework for Characterization and Occurrence of Confined and Unconfined Aquifers in Quaternary Sediments in the Glaciated Conterminous United States—A Digital Map Compilation and Database"},{"id":359747,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HH6J8X","text":"USGS data release","description":"USGS data release","linkHelpText":"Digital products from a hydrogeologic framework for Quaternary sediments within the glaciated conterminous United States"},{"id":359745,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5091/coverthb2.jpg"},{"id":359749,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2018/5091/sir20185091_index.html","linkFileType":{"id":5,"text":"html"},"linkHelpText":"- Index page for oversized, interactive Leaflet maps"},{"id":359746,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5091/sir20185091.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5091"},{"id":361089,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2018/5091/versionHist.txt","size":"1.27 KB","linkFileType":{"id":2,"text":"txt"}}],"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 -124.969069883,\n 35.090811167\n ],\n [\n -65.343237884,\n 35.090811167\n ],\n [\n -65.343237884,\n 50.932504994\n ],\n [\n -124.969069883,\n 50.932504994\n ],\n [\n -124.969069883,\n 35.090811167\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: February 2019; Version 1.0: December 2018","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street
Iowa City, IA 52240
Competition between microbial sulfate reduction and methanogenesis drives cycling of fossil carbon and generation of CH4 in sedimentary basins. However, little is understood about the fundamental relationship between subsurface aqueous geochemistry and microbiology that drives these processes. Here we relate elemental and isotopic geochemistry of coal-associated water and gas to the microbial community composition from wells in two different coal beds across CH4 and SO42− gradients (Powder River Basin, Montana, USA). Areas with high CH4 concentrations generally have higher alkalinity and δ13C-DIC values, little to no SO42−, and greater conversion of coal-biodegradable organics to CH4 (based on δ13C-CH4and δ13C-CO2 values). Wells with SO42− concentrations from 2 to 10 mM had bacterial populations dominated by several different sulfate-reducing bacteria and archaea that were mostly novel and unclassified. In contrast, in wells with SO42− concentrations <1 mM, the sequences were dominated by presumptive syntrophic bacteria as well as archaeal Methanosarcinales and Methanomicrobiales. The presence of sequences indicative of these bacteria in low SO42− methanogenic wells may suggest a syntrophic role in coal biodegradation and/or the generation of methanogenic substrates from intermediate organic compounds. Archaeal sequences were observed in all sampled zones, with an enrichment of sequences indicative of methanogens in low SO42− zones and unclassified sequences in high SO42− zones. However, sequences indicative of Methanomassiliicoccales were enriched in intermediate SO42− zones and suggest tolerance to SO42− and/or alternative metabolisms in the presence of SO42−. Moreover, sequences indicative of methylotrophic methanogens were more prevalent in an intermediate SO42− and CH4 well and results suggest an important role for methylotrophic methanogens in critical zone transitions. The presented results demonstrate in situ changes in bacterial and archaeal population distributions along a SO42− gradient associated with recalcitrant, organic carbon that is biodegraded and converted to CO2 and/or CH4.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2018.11.009","usgsCitation":"Schweitzer, H., Ritter, D., McIntosh, J., Barnhart, E.P., Cunningham, A.B., Vinson, D., Orem, W.H., and Fields, M.W., 2019, Changes in microbial communities and associated water and gas geochemistry across a sulfate gradient in coal beds: Powder River Basin, USA: Geochimica et Cosmochimica Acta, v. 245, p. 495-513, https://doi.org/10.1016/j.gca.2018.11.009.","productDescription":"19 p.","startPage":"495","endPage":"513","ipdsId":"IP-094442","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":468025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2018.11.009","text":"Publisher Index Page"},{"id":360261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Powder River Basin","volume":"245","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c137dc8e4b006c4f8514856","contributors":{"authors":[{"text":"Schweitzer, Hannah","contributorId":211468,"corporation":false,"usgs":false,"family":"Schweitzer","given":"Hannah","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":754144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritter, Daniel","contributorId":211473,"corporation":false,"usgs":false,"family":"Ritter","given":"Daniel","affiliations":[],"preferred":false,"id":754145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIntosh, Jennifer","contributorId":100059,"corporation":false,"usgs":true,"family":"McIntosh","given":"Jennifer","affiliations":[],"preferred":false,"id":754146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cunningham, Alfred B.","contributorId":172389,"corporation":false,"usgs":false,"family":"Cunningham","given":"Alfred","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":754147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vinson, David","contributorId":211474,"corporation":false,"usgs":false,"family":"Vinson","given":"David","affiliations":[],"preferred":false,"id":754148,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754149,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":754150,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227822,"text":"70227822 - 2019 - Spatial organization of fish diversity in a species-rich basin","interactions":[],"lastModifiedDate":"2022-02-01T19:18:48.099253","indexId":"70227822","displayToPublicDate":"2018-12-13T14:18:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spatial organization of fish diversity in a species-rich basin","docAbstract":"Many abiotic and biotic environmental characteristics in river basins show spatial gradients from river source to main stem. We examined the spatial organization of fish within the Duck River Basin to document patterns in diversity that could help guide conservation strategies relevant to controlling the detrimental effects of basin development. In all, over 0.33 million fishes representing 145 species and 18 families, including 9 non-native species, were collected in 207 samples distributed throughout the basin. Main stem sites with large catchment areas supported more fish diversity than smaller sites in tributaries. Moreover, rare species were most common in the main stem and ubiquitous species in tributaries. The spatial organization of species assemblages was mostly nested, as assemblages appeared to disassemble in an upstream direction from main stem sites and confluences. These findings suggest that fish conservation efforts might emphasize main stem segments and confluences that support higher biodiversity including the rare species often most in need of protection. The main stem can support the populations needed to recolonize tributaries and rescue populations that might periodically go extinct after droughts or other major disturbances. In tributaries, conservation of species assemblages may focus on managing between-patch connectivity via corridor maintenance or creation.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3392","usgsCitation":"Miranda, L.E., Kilgore, K.J., and Slack, W., 2019, Spatial organization of fish diversity in a species-rich basin: River Research and Applications, v. 35, no. 2, p. 188-196, https://doi.org/10.1002/rra.3392.","productDescription":"9 p.","startPage":"188","endPage":"196","ipdsId":"IP-098959","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3392","text":"Publisher Index Page"},{"id":395230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Duck River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.95379638671874,\n 35.36217605914681\n ],\n [\n -86.0504150390625,\n 35.36217605914681\n ],\n [\n -86.0504150390625,\n 36.089060460282006\n ],\n [\n -87.95379638671874,\n 36.089060460282006\n ],\n [\n -87.95379638671874,\n 35.36217605914681\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-12-13","publicationStatus":"PW","contributors":{"authors":[{"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":832371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kilgore, Kenneth J.","contributorId":272892,"corporation":false,"usgs":false,"family":"Kilgore","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":832372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slack, William T.","contributorId":272893,"corporation":false,"usgs":false,"family":"Slack","given":"William T.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":832373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201138,"text":"sim3423 - 2019 - Delineation of selected lithologic units using airborne electromagnetic data near Cedar Rapids, Iowa","interactions":[],"lastModifiedDate":"2019-02-08T12:22:20","indexId":"sim3423","displayToPublicDate":"2018-12-12T13:38:43","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3423","displayTitle":"Delineation of Selected Lithologic Units Using Airborne Electromagnetic Data near Cedar Rapids, Iowa","title":"Delineation of selected lithologic units using airborne electromagnetic data near Cedar Rapids, Iowa","docAbstract":"The U.S. Geological Survey, in cooperation with the City of Cedar Rapids, began a study in 2013 to better understand the effects of drought stress on the Cedar River alluvial aquifer. After an evaluation of the existing groundwater-flow models for the alluvial aquifer, a plan was begun to construct an updated groundwater-flow model capable of evaluating the effect of prolonged drought and increased demand. As part of the effort to update the existing groundwater-flow model, data were collected during an airborne electromagnetic (AEM) survey in May 2017. The study area for the AEM survey encompasses about 53 square kilometers of the Cedar River Basin, west of Cedar Rapids, Iowa, and includes a 19-kilometer reach of the Cedar River. The AEM survey of the Cedar River alluvial aquifer and adjacent areas was completed to characterize the subsurface geology of the area to refine a lithologic framework. The collected AEM data were postprocessed by numerical inversion using the program EM1DFM to produce subsurface apparent resistivity cross sections. Changes observed in resistivity profile values with depth were used to infer lithologic changes and delineate three of the four lithologic units designated in the lithologic framework for this area: alluvial deposits, glacial till, and bedrock; hereafter referred to as the “lithologic framework.” The fourth unit, composed of surficial eolian sediments, was not delineated in these profiles because these units are thin and discontinuous and are not reliably distinguishable from flood plain alluvial deposits. For the purposes of delineating lithologic units using the AEM data, bedrock was assumed to be the lowest unit in a profile, glacial till was deposited on a bedrock surface, and alluvium was deposited on erosional till or bedrock surfaces.
A three-dimensional fence diagram was created as part of the lithologic framework to further define the extent and thickness of the lithologic units near the Cedar River alluvial aquifer. The fence diagram shows a three-dimensional perspective of unit thickness, extent, and orientation of the delineated lithologic framework. A lithologic framework, by design, is intended to represent a simplification of a more complex natural system through data interpolation between known points, which usually are lithologic logs. The resistivity profiles produced from the AEM survey allow for continuous mapping and accurate interpolation of lithology between lithologic logs; however, the apparent resistivity value may reflect several characteristics of subsurface materials including variations in lithology, porosity, water quality, grain sorting, and degree of saturation. In this study, the only variables considered were those related to changes in the subsurface material.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3423","collaboration":"Prepared in cooperation with the City of Cedar Rapids","usgsCitation":"Valder, J.F., Haj, A.E., Bristow, E.L., and Valseth, K.J., 2019, Delineation of selected lithologic units using airborne electromagnetic data near Cedar Rapids, Iowa (ver. 1.1, February 2019): U.S. Geological Survey Scientific Investigations Map 3423, 2 sheets, 9-p. pamphlet, https://doi.org/10.3133/sim3423.","productDescription":"Pamphlet: vi, 9 p.; 2 Sheets: 42.0 x 24.0 inches and 44.0 x 28.0 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-101741","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":361084,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3423/versionHist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3423 Version History"},{"id":360194,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3423/sim3423_sheet2.pdf","text":"Sheet 2","size":"2.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3423 Sheet 2"},{"id":360192,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3423/sim3423_pamphlet.pdf","text":"Pamphlet","size":"2.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3423 Pamphlet"},{"id":360191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3423/coverthb2.jpg"},{"id":360193,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3423/sim3423_sheet1.pdf","text":"Sheet 1","size":"7.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3423 Sheet 1"},{"id":360208,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BS882S","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Airborne electromagnetic and magnetic survey data and inverted resistivity models, Cedar Rapids, Iowa, May 2017"}],"country":"United States","state":"Iowa","city":"Cedar Rapids","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.8,\n 42\n ],\n [\n -91.7,\n 42\n ],\n [\n -91.7,\n 42.0667\n ],\n [\n -91.8,\n 42.0667\n ],\n [\n -91.8,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: February 2019; Version 1.0: December 2018","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
1608 Mountain View Road
Rapid City, SD 57702
Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing salt marsh management decisions at the Bombay Hook National Wildlife Refuge in Delaware. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of eight salt marsh management units within the refuge and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that would be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per salt marsh management unit, that would maximize total management benefits at different cost constraints at the refuge scale. Results indicated that for the objectives and actions considered here, total management benefits would increase consistently up to approximately \\$300,000, but that further expenditures would yield diminishing return on investment. Management actions selected within optimal portfolios at total costs less than \\$300,000 included hydrologic restoration, recontouring adjacent uplands to facilitate marsh migration, and burning the marsh. The prototype presented here provides a framework for decision making at the Bombay Hook National Wildlife Refuge that can be updated as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181160","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., Guiteras, S.T., and Mitchell, L.R., 2018, Optimization of salt marsh management at the Bombay Hook National Wildlife Refuge, Delaware, through use of structured decision making (ver. 1.1, May 2019): U.S. Geological Survey Open-File Report 2018–1160, 29 p., https://doi.org/10.3133/ofr20181160.","productDescription":"vi, 29 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098065","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":360083,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1160/coverthb2.jpg"},{"id":364017,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2018/1160/versionHist.txt","text":"Version History","size":"1.35 KB","linkFileType":{"id":2,"text":"txt"}},{"id":360084,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1160/ofr20181160.pdf","text":"Report","size":"26.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1160"}],"country":"United States","state":"Delaware","otherGeospatial":"Bombay Hook National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.52928924560547,\n 39.18410260153466\n ],\n [\n -75.3885269165039,\n 39.18410260153466\n ],\n [\n -75.3885269165039,\n 39.30667511534216\n ],\n [\n -75.52928924560547,\n 39.30667511534216\n ],\n [\n -75.52928924560547,\n 39.18410260153466\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: May 29, 2019","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road
Laurel, MD 20708
Before the digital era, seismograms were recorded in analog form and read manually by analysts. The digital era represents only about 25% of the total time span of instrumental seismology. Analog data provide important constraints on earthquake processes over the long term, and in some cases are the only data available. The media on which analog data are recorded degrades with time and there is an urgent need for cost‐effective approaches to preserve the information they contain. In this study, we work directly with images by constructing a set of image‐based methods for earthquake processing, rather than pursue the usual approach of converting analog data to vector time series. We demonstrate this approach on one month of continuous Develocorder films from the Rangely earthquake control experiment run by the U.S. Geological Survey (USGS). We scan the films into images and compress these into low‐dimensional feature vectors as input to a classifier that separates earthquakes from noise in a defined feature space. We feed the detected event images into a short‐term average/long‐term average (STA/LTA) picker, a grid‐search associator, and a 2D image correlator to measure both absolute arrival times and relative arrival‐time differences between events. We use these measurements to locate the earthquakes using hypoDD. In the month that we studied, we identified 40 events clustered near the injection wells. In the original study, Raleigh et al. (1976) identified only 32 events during the same period. Scanning without vectorizing analog seismograms represents an attractive approach to archiving these perishable data. We demonstrated that it is possible to carry out precision seismology directly on such images. Our approach has the potential for wide application to analog seismograms.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180298","usgsCitation":"Wang, K., Ellsworth, W., Beroza, G.C., Williams, G., Zhang, M., Schroeder, D., and Rubinstein, J.L., 2019, Seismology with dark data: Image-based processing of analog records using machine learning for the rangely earthquake control experiment: Seismological Research Letters, v. 90, no. 2A, p. 553-562, https://doi.org/10.1785/0220180298.","productDescription":"10 p.","startPage":"553","endPage":"562","ipdsId":"IP-101838","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":363470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"2A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Kaiwen","contributorId":215275,"corporation":false,"usgs":false,"family":"Wang","given":"Kaiwen","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":761970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellsworth, William L. 0000-0001-8378-4979","orcid":"https://orcid.org/0000-0001-8378-4979","contributorId":194691,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William L.","affiliations":[],"preferred":false,"id":761971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beroza, Gregory C.","contributorId":191201,"corporation":false,"usgs":false,"family":"Beroza","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":761972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Gordon","contributorId":215276,"corporation":false,"usgs":false,"family":"Williams","given":"Gordon","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":761973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Miao","contributorId":215277,"corporation":false,"usgs":false,"family":"Zhang","given":"Miao","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":761974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schroeder, Dustin","contributorId":215278,"corporation":false,"usgs":false,"family":"Schroeder","given":"Dustin","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":761975,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":206551,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":761969,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201329,"text":"70201329 - 2019 - A 50-year Sr/Ca time series from an enclosed, shallow-water Guam coral: In situ monitoring and extraction of a temperature trend, annual cycle, and ENSO and PDO signals","interactions":[],"lastModifiedDate":"2019-03-15T12:41:32","indexId":"70201329","displayToPublicDate":"2018-12-11T11:33:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"A 50-year Sr/Ca time series from an enclosed, shallow-water Guam coral: In situ monitoring and extraction of a temperature trend, annual cycle, and ENSO and PDO signals","docAbstract":"Located on the northern edge of the West Pacific Warm Pool and having a developed economy and modern infrastructure, Guam is well positioned and equipped for obtaining natural records of the west Pacific maritime paleoclimate. This study was a proof of concept to explore whether useful climate proxy records might be obtained from coral at readily accessible, even if geochemically nonoptimal, coastal sites. A 50-year Sr/Ca record (1960–2010) was thus obtained from a shallow-water, near-shore Porites luteacolony at a recreational facility inside Guam's Apra Harbor and compared with local and regional meteorological records, including the El Niño–Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO) indices. The accessibility of the site enabled documentation of relevant environmental variables for 16 months (September 2009–December 2010): seawater δ18O, pH, seawater cations, and nitrate. Time series of seawater δ18O, pH, and cations show evidence of freshwater input from direct rainfall and stream discharge into the harbor. An anomalously higher mean and variable concentrations of Ba suggest the presence of river-borne, fine-grained terrigenous sediment. Nevertheless, the Sr/Ca time series reproduces a long-term warming trend seen in historical records of local air temperature and regional sea-surface temperature (SST) and closely tracks the ENSO and PDO indices over the entire 50-year record. The consistency of the results with Guam's historical instrumental records, previous coral δ18O results from Guam obtained by others, and previous Sr/Ca proxy results for SST in similar environments elsewhere demonstrate that accessible near-shore sites—where environmental conditions can be monitored—can produce useful Sr/Ca records of local and regional climate phenomena.
","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-16-00099.1","usgsCitation":"Bell, T., Lander, M., Jenson, J., Randall, R., Partin, J.W., and Prouty, N.G., 2019, A 50-year Sr/Ca time series from an enclosed, shallow-water Guam coral: In situ monitoring and extraction of a temperature trend, annual cycle, and ENSO and PDO signals: Journal of Coastal Research, v. 35, no. 2, p. 269-286, https://doi.org/10.2112/JCOASTRES-D-16-00099.1.","productDescription":"18 p.","startPage":"269","endPage":"286","ipdsId":"IP-075254","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":360156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8e2e4b034bf6a7e4dbb","contributors":{"authors":[{"text":"Bell, Tomoko","contributorId":211310,"corporation":false,"usgs":false,"family":"Bell","given":"Tomoko","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":753624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lander, Mark","contributorId":211311,"corporation":false,"usgs":false,"family":"Lander","given":"Mark","affiliations":[{"id":38228,"text":"University of Guam","active":true,"usgs":false}],"preferred":false,"id":753625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenson, John","contributorId":211312,"corporation":false,"usgs":false,"family":"Jenson","given":"John","affiliations":[{"id":38228,"text":"University of Guam","active":true,"usgs":false}],"preferred":false,"id":753626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Randall, Richard","contributorId":211313,"corporation":false,"usgs":false,"family":"Randall","given":"Richard","email":"","affiliations":[{"id":38228,"text":"University of Guam","active":true,"usgs":false}],"preferred":false,"id":753627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Partin, Judson W.","contributorId":203459,"corporation":false,"usgs":false,"family":"Partin","given":"Judson","email":"","middleInitial":"W.","affiliations":[{"id":36624,"text":"Institute for Geophysics, Jackson School of Geosciences, University of Texas at Austin, J. J. Pickle Research Campus, Building 196, 10100 Burnet Road (R2200), Austin, Texas 78758, USA","active":true,"usgs":false}],"preferred":false,"id":753628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753623,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201350,"text":"70201350 - 2019 - Food‐web structure and ecosystem function in the Laurentian Great Lakes—Toward a conceptual model","interactions":[],"lastModifiedDate":"2019-01-28T08:36:06","indexId":"70201350","displayToPublicDate":"2018-12-11T11:00:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Food‐web structure and ecosystem function in the Laurentian Great Lakes—Toward a conceptual model","docAbstract":"