{"pageNumber":"582","pageRowStart":"14525","pageSize":"25","recordCount":69035,"records":[{"id":70143455,"text":"70143455 - 2014 - An ecological response model for the Cache la Poudre River through Fort Collins","interactions":[],"lastModifiedDate":"2016-07-18T16:19:01","indexId":"70143455","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"An ecological response model for the Cache la Poudre River through Fort Collins","docAbstract":"<p>The Poudre River Ecological Response Model (ERM) is a collaborative effort initiated by the City of Fort Collins and a team of nine river scientists to provide the City with a tool to improve its understanding of the past, present, and likely future conditions of the Cache la Poudre River ecosystem. The overall ecosystem condition is described through the measurement of key ecological indicators such as shape and character of the stream channel and banks, streamside plant communities and floodplain wetlands, aquatic vegetation and insects, and fishes, both coolwater trout and warmwater native species. The 13- mile-long study area of the Poudre River flows through Fort Collins, Colorado, and is located in an ecological transition zone between the upstream, cold-water, steep-gradient system in the Front Range of the Southern Rocky Mountains and the downstream, warm-water, low-gradient reach in the Colorado high plains.</p>\n<p>The City wanted to better understand the ecological response of the Poudre River ecosystem to potential changes in stream flow and other physical parameters through the conceptual framework of a multivariable integrated model. This goal was met through the use of a probabilistic model based on Bayesian concepts. This construct allowed the integration of a wide range of data and expert opinion (as informed by local data) to predict potential changes to ecosystem conditions under various flow scenarios. Nine flow scenarios representing past, present, and possible future hydrology were developed as the primary model input. Both reach-scale drivers such as stream channel conditions and pollutant loads, as well as ecological conditions, including species composition, interactions, and habitat requirements influenced model-predicted ecosystem outcomes. Model output consisted of probability distributions for eight ecological indicators collectively representing the physical setting, aquatic life, and riparian habitats of the river ecosystem.</p>\n<p>We are confident in model predictions related to probable trends, relative magnitude of changes and potential ecosystem responses to changing flow conditions, though data availability and the process of converting diverse data types into a common unit (probabilities) limit precision of individual results. Key findings suggest that:</p>\n<ul>\n<li>The present ecological function of the Poudre River is altered as a result of more than 150 years of human influences that include highly managed flows, urbanization, gravel mining, channelization and urban and industrial encroachment in the floodplain, underscoring the vulnerable and complex character of the Poudre River;</li>\n<li>A continuation of today&rsquo;s flow management will lead to ongoing changes in ecosystem condition, and additional water depletions will compromise ecological conditions;</li>\n<li>High flows play an essential role in maintaining and improving the aquatic and riparian condition of the river;</li>\n<li>Adequate flows in base-flow periods are critical to desirable water quality, and thriving fish and insect populations; Improvement of native aquatic life is possible if issues related to channel modifications, siltation, invasive species, and base and high flow conditions are managed properly;</li>\n<li>The present confined river channel and modified flows has reduced the potential for a keystone and iconic species, plains cottonwood, to be self-sustaining in the study area;</li>\n<li>The streamside corridor retains the potential to support a functioning riparian forest that provides important ecological services if periodic floodplain inundation occurs.</li>\n</ul>\n<p>Environmental flows that combine stable and adequate flows in base-flow periods with occasional rejuvenating high flows that meet target levels defined in this study are likely improve all biological indicators across the system. ERM test scenarios that include both stable base flows and rejuvenating high flows indicate that substantial improvements in the river ecosystem can be achieved with improved management of flow volumes similar to those observed in the river during the last half century of intensive water development. These results underscore the possibility of improving the river ecosystem through active management while still maintaining the Poudre&rsquo;s diverse economic benefits and role as a working river.</p>\n<p>The ERM was designed to represent the multi-dimensional ecological character of the contemporary urban Poudre River. It provides a scientific foundation that can serve as a decision support tool and foster a more informed community discussion about the future of the river as it provides a better understanding of the likely response of the Poudre River ecosystem to environmental flow management and other stewardship activities. In particular, model results can assist managers in developing specific management actions to achieve desirable goals for key indicators of river health.</p>","language":"English","publisher":"City of Fort Collins Natural Areas Department","publisherLocation":"Fort Collins, CO","usgsCitation":"Shanahan, J., Baker, D., Bledsoe, B.P., Poff, L., Merritt, D.M., Bestgen, K.R., Auble, G.T., Kondratieff, B.C., Stokes, J., Lorie, M., and Sanderson, J., 2014, An ecological response model for the Cache la Poudre River through Fort Collins, xv, 95 p.","productDescription":"xv, 95 p.","numberOfPages":"112","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056554","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298735,"type":{"id":15,"text":"Index Page"},"url":"https://www.fcgov.com/naturalareas/eco-response.php"}],"country":"United States","state":"Colorado","otherGeospatial":"Cache la Poudre River Watershed, Poudre River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.15426635742188,\n              40.49395938772784\n            ],\n            [\n              -105.15426635742188,\n              40.63896734381723\n            ],\n            [\n              -104.9798583984375,\n              40.63896734381723\n            ],\n            [\n              -104.9798583984375,\n              40.49395938772784\n            ],\n            [\n              -105.15426635742188,\n              40.49395938772784\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578dfdaee4b0f1bea0e0f816","contributors":{"authors":[{"text":"Shanahan, Jennifer","contributorId":172960,"corporation":false,"usgs":false,"family":"Shanahan","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":642787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Daniel","contributorId":172961,"corporation":false,"usgs":false,"family":"Baker","given":"Daniel","affiliations":[],"preferred":false,"id":642788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bledsoe, Brian P.","contributorId":140605,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":13538,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":642789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poff, LeRoy","contributorId":172962,"corporation":false,"usgs":false,"family":"Poff","given":"LeRoy","email":"","affiliations":[],"preferred":false,"id":642790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merritt, David M.","contributorId":95976,"corporation":false,"usgs":true,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":642791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bestgen, Kevin R. 0000-0001-8691-2227","orcid":"https://orcid.org/0000-0001-8691-2227","contributorId":171573,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":642792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Auble, Gregor T. 0000-0002-0843-2751 aubleg@usgs.gov","orcid":"https://orcid.org/0000-0002-0843-2751","contributorId":2187,"corporation":false,"usgs":true,"family":"Auble","given":"Gregor","email":"aubleg@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":542726,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kondratieff, Boris C.","contributorId":24868,"corporation":false,"usgs":false,"family":"Kondratieff","given":"Boris","email":"","middleInitial":"C.","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":642793,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stokes, John","contributorId":172963,"corporation":false,"usgs":false,"family":"Stokes","given":"John","email":"","affiliations":[],"preferred":false,"id":642794,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lorie, Mark","contributorId":172964,"corporation":false,"usgs":false,"family":"Lorie","given":"Mark","email":"","affiliations":[],"preferred":false,"id":642795,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sanderson, John","contributorId":172965,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","affiliations":[],"preferred":false,"id":642796,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70145808,"text":"70145808 - 2014 - Productivity of functional guilds of fishes in managed wetlands in coastal South Carolina","interactions":[],"lastModifiedDate":"2015-04-09T11:02:27","indexId":"70145808","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Productivity of functional guilds of fishes in managed wetlands in coastal South Carolina","docAbstract":"<p><span>In coastal South Carolina, many wetlands are impounded and managed as migratory waterfowl habitat. Impoundment effects on fish production and habitat quality largely are unknown. We used the size-frequency method to estimate summer production of fish guilds in three impoundments along the Combahee River, South Carolina. We predicted that guild-specific production would vary with impoundment salinity, which ranged from 3 to 21 practical salinity units. We expected that marine species that use the estuary as nursery habitat would have greatest production in the impoundment with the highest salinity regime, and that species that inhabit the upper reaches of the estuary would have greatest production in the impoundment with the lowest salinity regime. Finally, we expected that estuarine species would be highly productive in all study impoundments, because these species can reproduce within these structures. We found that guild-specific productivity varied both among years and among impoundments, generally following salinity gradients, though to a lesser extent than expected. Our guild-specific estimates of fish productivity fell on the low end of the range of previously published estuarine fish production estimates. Additionally, we observed large mortality events in the study impoundments each summer. The results of our study indicate that during the summer, the study impoundments provided poor-quality fish habitat to all guilds.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.3996/112012-JFWM-099","usgsCitation":"Robinson, K., and Jennings, C.A., 2014, Productivity of functional guilds of fishes in managed wetlands in coastal South Carolina: Journal of Fish and Wildlife Management, v. 5, no. 1, p. 70-86, https://doi.org/10.3996/112012-JFWM-099.","productDescription":"17 p.","startPage":"70","endPage":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053919","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473291,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/112012-jfwm-099","text":"Publisher Index Page"},{"id":299540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Combahee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.79345703125,\n              32.2313896627376\n            ],\n            [\n              -80.79345703125,\n              33.063924198120645\n            ],\n            [\n              -79.51904296874999,\n              33.063924198120645\n            ],\n            [\n              -79.51904296874999,\n              32.2313896627376\n            ],\n            [\n              -80.79345703125,\n              32.2313896627376\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-01","publicationStatus":"PW","scienceBaseUri":"5527a2b4e4b026915857c856","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":44911,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":544517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":544401,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70137757,"text":"70137757 - 2014 - Mount Rainier National Park","interactions":[],"lastModifiedDate":"2017-11-22T15:53:48","indexId":"70137757","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Mount Rainier National Park","docAbstract":"<p>Natural Resource Condition Assessments (NRCAs) evaluate current conditions for a subset of natural resources and resource indicators in national parks. NRCAs also report on trends in resource condition (when possible), identify critical data gaps, and characterize a general level of confidence for study findings. The resources and indicators emphasized in a given project depend on the park’s resource setting, status of resource stewardship planning and science in identifying high-priority indicators, and availability of data and expertise to assess current conditions for a variety of potential study resources and indicators. Although the primary objective of NRCAs is to report on current conditions relative to logical forms of reference conditions and values, NRCAs also report on trends, when appropriate (i.e., when the underlying data and methods support such reporting), as well as influences on resource conditions. These influences may include past activities or conditions that provide a helpful context for understanding current conditions and present-day threats and stressors that are best interpreted at park, watershed, or landscape scales (though NRCAs do not report on condition status for land areas and natural resources beyond park boundaries). Intensive cause-andeffect analyses of threats and stressors, and development of detailed treatment options, are outside the scope of NRCAs. It is also important to note that NRCAs do not address resources that lack sufficient data for assessment. For Mount Rainier National Park, this includes most invertebrate species and many other animal species that are subject to significant stressors from climate change and other anthropogenic sources such as air pollutants and recreational use. In addition, we did not include an analysis of the physical hydrology associated with streams (such as riverine landforms, erosion and aggradation which is significant in MORA streams), due to a loss of staff expertise from the USGS-BRD staff conducting the work, and human disturbance landcover issues such as the effects of roads, trails, and other anthropogenic developments due to lack of funds. </p>","language":"English","publisher":"National Park Service","usgsCitation":"Hoffman, R., Woodward, A., Haggerty, P.K., Jenkins, K.J., Griffin, P., Adams, M.J., Hagar, J., Cummings, T., Duriscoe, D., Kopper, K., Riedel, J., Samora, B., Marin, L., Mauger, G., Bumbaco, K., and Littell, J.S., 2014, Mount Rainier National Park, xxvi., 353 p. .","productDescription":"xxvi., 353 p. ","startPage":"1","endPage":"380","ipdsId":"IP-056933","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":328462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297135,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2218811"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3be4b0571647d19ab0","contributors":{"authors":[{"text":"Hoffman, Robert robert_hoffman@usgs.gov","contributorId":2991,"corporation":false,"usgs":true,"family":"Hoffman","given":"Robert","email":"robert_hoffman@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":538063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":538064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haggerty, Patricia K. phaggerty@usgs.gov","contributorId":4602,"corporation":false,"usgs":true,"family":"Haggerty","given":"Patricia","email":"phaggerty@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":538065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":538066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffin, Paul C. pgriffin@usgs.gov","contributorId":3402,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul C.","email":"pgriffin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":538067,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":538068,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":538069,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cummings, Tonnie","contributorId":41760,"corporation":false,"usgs":true,"family":"Cummings","given":"Tonnie","email":"","affiliations":[],"preferred":false,"id":538070,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duriscoe, Dan","contributorId":138604,"corporation":false,"usgs":false,"family":"Duriscoe","given":"Dan","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":538071,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kopper, Karen","contributorId":138605,"corporation":false,"usgs":false,"family":"Kopper","given":"Karen","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":538072,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Riedel, Jon","contributorId":138606,"corporation":false,"usgs":false,"family":"Riedel","given":"Jon","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":538073,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Samora, Barbara","contributorId":95770,"corporation":false,"usgs":true,"family":"Samora","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":538074,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Marin, Lelaina","contributorId":138607,"corporation":false,"usgs":false,"family":"Marin","given":"Lelaina","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":538075,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mauger, Guillaume S.","contributorId":11954,"corporation":false,"usgs":true,"family":"Mauger","given":"Guillaume S.","affiliations":[],"preferred":false,"id":538076,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bumbaco, Karen","contributorId":138609,"corporation":false,"usgs":false,"family":"Bumbaco","given":"Karen","email":"","affiliations":[{"id":12464,"text":"University of Washington Office of the Washington State Climatologist","active":true,"usgs":false}],"preferred":false,"id":538077,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Littell, Jeremy S.","contributorId":54506,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":538078,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70148128,"text":"70148128 - 2014 - Spawning behavior in Atlantic cod: analysis by use of data storage tags","interactions":[],"lastModifiedDate":"2015-06-03T10:52:00","indexId":"70148128","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Spawning behavior in Atlantic cod: analysis by use of data storage tags","docAbstract":"<p><span><span class=\"Apple-converted-space\">&nbsp;</span>Electronic data storage tags (DSTs) were implanted into Atlantic cod captured in Icelandic waters from 2002 to 2007 and the depth profiles recovered from these tags (females: n&nbsp;=&nbsp;31, males: n = 27) were used to identify patterns consistent with published descriptions of cod courtship and spawning behavior. The individual periods of time that males spent exhibiting behavior consistent with being present in a spawning aggregation&mdash;i.e. periods consisting of a clear tidal signature in the DST depth profile associated with an individual remaining on or near the substrate&mdash;were longer than those of females. Over the course of a spawning season, male cod spent approximately twice the amount of time in spawning aggregations than females, but female cod visited more aggregations per unit time. On average, males participated in approximately 57% more putative spawning events, i.e. vertical ascents potentially corresponding to gamete release, than did females. However, males &lt;85 cm total length participated in the same number of putative spawning events as females of comparable size. In both sexes, larger individuals and/or individuals that spent a longer period of time within an aggregation participated in a larger number of putative spawning events. Although further validation and refinement is necessary, particularly in the identification of spawning events, the ability offered by DSTs to quantify cod spawning behavior may aid in the development of management and conservation plans.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps10787","usgsCitation":"Grabowski, T.B., Thorsteinsson, V., and Marteinsdottir, G., 2014, Spawning behavior in Atlantic cod: analysis by use of data storage tags: Marine Ecology Progress Series, v. 506, p. 279-290, https://doi.org/10.3354/meps10787.","productDescription":"12 p.","startPage":"279","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050100","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10787","text":"Publisher Index Page"},{"id":301015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","volume":"506","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5570253fe4b0d9246a9fd1b3","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":547457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorsteinsson, Vilhjalmur","contributorId":49215,"corporation":false,"usgs":true,"family":"Thorsteinsson","given":"Vilhjalmur","email":"","affiliations":[],"preferred":false,"id":548146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marteinsdottir, Gudrun","contributorId":11099,"corporation":false,"usgs":false,"family":"Marteinsdottir","given":"Gudrun","email":"","affiliations":[],"preferred":false,"id":548147,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196789,"text":"70196789 - 2014 - Observations from borehole dilution logging experiments in fractured crystalline rock under variable hydraulic conditions","interactions":[],"lastModifiedDate":"2018-05-07T13:17:03","indexId":"70196789","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Observations from borehole dilution logging experiments in fractured crystalline rock under variable hydraulic conditions","docAbstract":"<p>Identifying hydraulically active fractures in low permeability, crystalline-bedrock aquifers requires a variety of geophysical and hydrogeophysical borehole tools and approaches. One such approach is Single Borehole Dilution Tests (SBDT), which in some low flow cases have been shown to provide greater resolution of borehole flow than other logging procedures, such as vertical differential Heat Pulse Flowmeter (HPFM) logging. Because the tools used in SBDT collect continuous profiles of water quality or dye changes, they can identify horizontal flow zones and vertical flow. We used SBDT with a food grade blue dye as a tracer and dual photometer-nephelometer measurements to identify low flow zones.</p><p>SBDT were conducted at seven wells with open boreholes (exceeding 300 ft). At most of the wells HPFM logs were also collected. The seven wells are set in low-permeability, fractured granite and gneiss rocks underlying a former tetrachloroeythylene (PCE) source area at the Savage Municipal Well Superfund site in Milford, NH. Time series SBDT logs were collected at each of the seven wells under three distinct hydraulic conditions: (1) ambient conditions prior to a pump test at an adjacent well, (2) mid test, after 2-3 days of the start of the pump test, and (3) at the end of the test, after 8-9 days of the pump test. None of the SBDT were conducted under pumping conditions in the logged well. For each condition, wells were initially passively spiked with blue dye once and subsequent time series measurements were made.</p><p>Measurement accuracy and precision of the photometer tool is important in SBDT when attempting to detect low rates of borehole flow. Tests indicate that under ambient conditions, none of the wells had detectable flow as measured with HPFM logging. With SBDT, 4 of the 7 showed the presence of some very low flow. None of 5 (2 of the 7 wells initially logged with HPFM under ambient conditions were not re-logged) wells logged with the HPFM during the pump test had detectable flow. However, 3 of the 5 wells showed the patterns of very low flow with SBDT during the pump test including pumping induced changes of inflow and outflow patterns at one well.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems 2014","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/SAGEEP.27-034","usgsCitation":"Harte, P.T., Anderson, J.A., and Williams, J., 2014, Observations from borehole dilution logging experiments in fractured crystalline rock under variable hydraulic conditions, <i>in</i> Symposium on the application of geophysics to engineering and environmental problems 2014, p. 65-78, https://doi.org/10.4133/SAGEEP.27-034.","productDescription":"14 p.","startPage":"65","endPage":"78","ipdsId":"IP-052596","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":353977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-25","publicationStatus":"PW","scienceBaseUri":"5afeee0fe4b0da30c1bfc749","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J. Alton 0000-0001-8426-2507 aanders@usgs.gov","orcid":"https://orcid.org/0000-0001-8426-2507","contributorId":139789,"corporation":false,"usgs":true,"family":"Anderson","given":"J.","email":"aanders@usgs.gov","middleInitial":"Alton","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148121,"text":"70148121 - 2014 - Distribution and habitat associations of juvenile Common Snook in the lower Rio Grande, Texas","interactions":[],"lastModifiedDate":"2015-06-03T10:28:30","indexId":"70148121","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and habitat associations of juvenile Common Snook in the lower Rio Grande, Texas","docAbstract":"<p><span>Common Snook&nbsp;</span><i>Centropomus undecimalis</i><span>&nbsp;were once abundant off the Texas coast, but these populations are now characterized by low abundance and erratic recruitment. Most research concerning Common Snook in North America has been conducted in Florida and very little is known about the specific biology and habitat needs of Common Snook in Texas. The primary objective of this study was to describe the habitat use patterns of juvenile Common Snook and their role in the fish assemblage in the lower portion of the Rio Grande, Texas. Secondarily, we documented the relationship between age and juvenile reproductive development. Fish were collected during January&ndash;March 2006 from the lower 51.5 km of the Rio Grande using a bottom trawl and boat-mounted electrofisher. Measurements of water quality and other habitat traits were recorded at each sampling site. We captured 225 Common Snook exclusively in freshwater habitats above river kilometer 12.9. The distribution of juvenile Common Snook was not random, but influenced primarily by turbidity and dissolved oxygen. Sex differentiation and gonadal development based on histological examination of gonads established that age-1 and age-2 Common Snook were juvenile, prepubertal males. There was no difference between the age groups in their overall distribution in the river. However, age-2 Common Snook were associated with deeper areas with faster currents, higher conductivity, and steeper banks. Overall, Common Snook in the lower Rio Grande show substantial differences in habitat use than their counterparts in other parts of the range of the species, but it is unclear whether this is due to differences in habitat availability, behavioral plasticity, or some combination thereof.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2014.920744","usgsCitation":"Huber, C.G., Grabowski, T.B., Patino, R., and Pope, K.L., 2014, Distribution and habitat associations of juvenile Common Snook in the lower Rio Grande, Texas: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 6, no. 1, p. 170-180, https://doi.org/10.1080/19425120.2014.920744.","productDescription":"11 p.","startPage":"170","endPage":"180","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029311","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473290,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2014.920744","text":"Publisher Index Page"},{"id":301006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Rio Grande","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.38075256347656,\n              25.848718947819023\n            ],\n            [\n              -97.36152648925781,\n              25.845011216684284\n            ],\n            [\n              -97.35191345214844,\n              25.868491550461812\n            ],\n            [\n              -97.35809326171875,\n              25.906791552589468\n            ],\n            [\n              -97.34642028808594,\n              25.918526162075153\n            ],\n            [\n              -97.327880859375,\n              25.912350197371556\n            ],\n            [\n              -97.29904174804688,\n              25.9228491448873\n            ],\n            [\n              -97.27020263671875,\n              25.935817142040126\n            ],\n            [\n              -97.2674560546875,\n              25.944461680551118\n            ],\n            [\n              -97.24617004394531,\n              25.941374418200503\n            ],\n            [\n              -97.21527099609375,\n              25.95248818387927\n            ],\n            [\n              -97.19810485839844,\n              25.951253372828724\n            ],\n            [\n              -97.174072265625,\n              25.954340376169696\n            ],\n            [\n              -97.16720581054688,\n              25.953722981977684\n            ],\n            [\n              -97.16377258300781,\n              25.942609332852275\n            ],\n            [\n              -97.14454650878906,\n              25.94816628853973\n            ],\n            [\n              -97.14591979980467,\n              25.962983554822678\n            ],\n            [\n              -97.1692657470703,\n              25.972243398901558\n            ],\n            [\n              -97.19467163085938,\n              25.966687579916506\n            ],\n            [\n              -97.21046447753906,\n              25.971626098639387\n            ],\n            [\n              -97.24685668945311,\n              25.96113149854908\n            ],\n            [\n              -97.26058959960938,\n              25.95742729855581\n            ],\n            [\n              -97.28050231933594,\n              25.963600900436045\n            ],\n            [\n              -97.294921875,\n              25.959279413126282\n            ],\n            [\n              -97.29217529296875,\n              25.94754886196875\n            ],\n            [\n              -97.29011535644531,\n              25.940139490600565\n            ],\n            [\n              -97.30659484863281,\n              25.942609332852275\n            ],\n            [\n              -97.31620788574219,\n              25.93828707492375\n            ],\n            [\n              -97.32994079589844,\n              25.930877120921785\n            ],\n            [\n              -97.35122680664062,\n              25.938904550052868\n            ],\n            [\n              -97.3828125,\n              25.90864446329127\n            ],\n            [\n              -97.37525939941406,\n              25.898144251161693\n            ],\n            [\n              -97.37663269042969,\n              25.886407614212853\n            ],\n            [\n              -97.37800598144531,\n              25.87158072084242\n            ],\n            [\n              -97.3725128173828,\n              25.86787370669376\n            ],\n            [\n              -97.38349914550781,\n              25.858605662541322\n            ],\n            [\n              -97.38075256347656,\n              25.848718947819023\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-22","publicationStatus":"PW","scienceBaseUri":"55702534e4b0d9246a9fd192","contributors":{"authors":[{"text":"Huber, Caleb G.","contributorId":48823,"corporation":false,"usgs":true,"family":"Huber","given":"Caleb","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":548130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":547446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":548132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159455,"text":"70159455 - 2014 - Metals, organic compounds, and nutrients in Long Island Sound: sources, magnitudes, trends, and impacts","interactions":[],"lastModifiedDate":"2016-09-08T13:35:18","indexId":"70159455","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Metals, organic compounds, and nutrients in Long Island Sound: sources, magnitudes, trends, and impacts","docAbstract":"Long Island Sound (LIS) is a relatively shallow estuary with a mean depth of 20 m (maximum depth 49 m) and a unique hydrology and history of pollutant loading. Those factors have contributed to a wide variety of contamination problems in its muddy sediments, aquatic life and water column.  The LIS sediments are contaminated with a host of legacy and more recently released toxic compounds and elements related to past and present wastewater discharges and runoff. These include non-point and storm water runoff and groundwater discharges, whose character has changed over the years along with the evolution of its watershed and industrial history. Major impacts have resulted from the copious amounts of nutrients discharged into LIS through atmospheric deposition (N), domestic and industrial waste water flows, fertilizer releases, and urban runoff. All these sources and their effects are in essence the result of human presence and activities in the watershed, and the severity of pollutant loading and their impacts generally scales with total population in the watersheds surrounding LIS. Environmental legislation passed since the mid-to late 1900s (e.g., Clean Air Act, Clean Water Act) has had a beneficial effect, however, and contaminant loadings for many toxic organic and inorganic chemicals and nutrients have diminished over the last few decades  (O’Shea and Brosnan 2000; Trench, et al, 2012; O’Connor and Lauenstein 2006; USEPA 2007). Major strides have been made in reducing the inflow of nutrients into LIS, but cultural eutrophication is still an ongoing problem and nutrient control efforts will need to continue. Nonetheless, LIS is still a heavily human impacted estuary (an ‘Urban Estuary’, as described for San Francisco Bay by Conomos, 1979), and severe changes in water quality and sediment toxicity as well as ecosystem shifts have been witnessed over the relatively short period since European colonization in the early 1600s (Koppelman et al., 1976).\nThe main rivers that discharge into LIS are the East River in the west, the Housatonic and Connecticut rivers on the north, and the Thames River at the northeastern end of LIS, with the Quinnipiac and several other smaller rivers also coming in from Connecticut.  The East River is a tidal strait that connects LIS with New York Harbor through the heart of the New York City metropolitan region. The Housatonic, Quinnipiac, Connecticut and Thames river basins drain agricultural, urban and industrial lands in a watershed that extends from Connecticut north to Canada. The Sound receives contaminants from many sources within and outside its contributing watershed, including direct discharges from coastal industries, wastewater treatment plants (WWTP), urban runoff, and atmospheric deposition.  New England has a long history of industrial activity, with factories that once crowded its riverbanks and shores now having succumbed to economic forces that drove manufacturing overseas.  Relict deposits with legacy pollutants in upland sediments persist and combine with modern runoff sources from an increasingly densely populated watershed, and continue to be a source of contaminants for LIS. While toxic exposure from legacy and active sources has diminished over the years as wastewater treatment has improved and industries closed or moved away, pockets of contamination still have consequences for many embayments and coves, particularly near urbanized areas of western LIS. \nLoading of nutrients and carbon have been of recent concern in LIS because of the extensive impacts observed since the mid-1980s. Excess nutrients not only create inhospitable conditions for higher forms of aquatic life through reduced oxygen levels and disrupting trophic dynamics, but also by altering the local biogeochemistry. As a result, the release of toxic substances into the water column may be enhanced in hypoxic waters, thus exerting a toxic effect or enhancing incorporation of toxic pollutants into the food we","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Long Island Sound","language":"English","publisher":"Springer","doi":"10.1007/978-1-4614-6126-5","usgsCitation":"Mullaney, J.R., Varekamp, J., MCElroy, A., and Brsslin, V., 2014, Metals, organic compounds, and nutrients in Long Island Sound: sources, magnitudes, trends, and impacts, chap. <i>of</i> Long Island Sound, p. 203-283, https://doi.org/10.1007/978-1-4614-6126-5.","productDescription":"81 p. ","startPage":"203","endPage":"283","ipdsId":"IP-039513","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":328402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310828,"type":{"id":15,"text":"Index Page"},"url":"https://www.springer.com/us/book/9781461461258"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28baee4b0571647d0f938","contributors":{"authors":[{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varekamp, J.C.","contributorId":56006,"corporation":false,"usgs":true,"family":"Varekamp","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":578784,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"MCElroy, A.E.","contributorId":149545,"corporation":false,"usgs":false,"family":"MCElroy","given":"A.E.","affiliations":[{"id":17767,"text":"SUNY Stoneybrook","active":true,"usgs":false}],"preferred":false,"id":578783,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Brsslin, V.T.","contributorId":149544,"corporation":false,"usgs":false,"family":"Brsslin","given":"V.T.","email":"","affiliations":[{"id":17766,"text":"Southern Connecticut Univ.","active":true,"usgs":false}],"preferred":false,"id":578782,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70148145,"text":"70148145 - 2014 - Assessing distribution of migratory fishes and connectivity following complete and partial dam removals in a North Carolina River","interactions":[],"lastModifiedDate":"2015-05-27T13:44:03","indexId":"70148145","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing distribution of migratory fishes and connectivity following complete and partial dam removals in a North Carolina River","docAbstract":"<p><span>Fish, especially migratory species, are assumed to benefit from dam removals that restore connectivity and access to upstream habitat, but few studies have evaluated this assumption. Therefore, we assessed the movement of migratory fishes in the springs of 2008 through 2010 and surveyed available habitat in the Little River, North Carolina, a tributary to the Neuse River, after three complete dam removals and one partial (notched) dam removal. We tagged migratory fishes with PIT tags at a resistance-board weir located at a dam removal site (river kilometer [rkm] 3.7) and followed their movements with an array of PIT antennas. The river-wide distribution of fish following removals varied by species. For example, 24&ndash;31% of anadromous American Shad&nbsp;</span><i>Alosa sapidissima</i><span>, 45&ndash;49% of resident Gizzard Shad&nbsp;</span><i>Dorosoma cepedianum</i><span>, and 4&ndash;11% of nonnative Flathead Catfish</span><i>Pylodictis olivaris</i><span>&nbsp;passed the dam removal site at rkm 56 in 2009 and 2010. No preremoval data were available for comparison, but reach connectivity appeared to increase as tagged individuals passed former dam sites and certain individuals moved extensively both upstream and downstream. However, 17&ndash;28% did not pass the partially removed dam at rkm 7.9, while 20&ndash;39% of those that passed remained downstream for more than a day before migrating upstream. Gizzard Shad required the deepest water to pass this notched structure, followed by American Shad then Flathead Catfish. Fish that passed the notched dam accessed more complex habitat (e.g., available substrate size-classes) in the middle and upper reaches. The results provide strong support for efforts to restore currently inaccessible habitat through complete removal of derelict dams.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2014.938140","usgsCitation":"Raabe, J.K., and Hightower, J.E., 2014, Assessing distribution of migratory fishes and connectivity following complete and partial dam removals in a North Carolina River: North American Journal of Fisheries Management, v. 34, no. 5, p. 955-969, https://doi.org/10.1080/02755947.2014.938140.","productDescription":"15 p.","startPage":"955","endPage":"969","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051811","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Little River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.20686340332031,\n              35.60288130725417\n            ],\n            [\n              -78.19244384765625,\n              35.58166340367189\n            ],\n            [\n              -78.17562103271484,\n              35.572448615622804\n            ],\n            [\n              -78.16497802734375,\n              35.563512051219696\n            ],\n            [\n              -78.16978454589842,\n              35.554015859485595\n            ],\n            [\n              -78.17150115966797,\n              35.54619462154643\n            ],\n            [\n              -78.1680679321289,\n              35.538093249404184\n            ],\n            [\n              -78.17150115966797,\n              35.53166744135354\n            ],\n            [\n              -78.17081451416016,\n              35.52244690472594\n            ],\n            [\n              -78.16497802734375,\n              35.518534841844364\n            ],\n            [\n              -78.17218780517578,\n              35.515740394479316\n            ],\n            [\n              -78.17699432373047,\n              35.50847437608772\n            ],\n            [\n              -78.17047119140625,\n              35.498971667611976\n            ],\n            [\n              -78.16463470458984,\n              35.49785362799176\n            ],\n            [\n              -78.15845489501953,\n              35.50120770016921\n            ],\n            [\n              -78.15364837646484,\n              35.496456056584165\n            ],\n            [\n              -78.15502166748047,\n              35.48779057119978\n            ],\n            [\n              -78.13304901123047,\n              35.46570333507351\n            ],\n            [\n              -78.12755584716797,\n              35.46598295825904\n            ],\n            [\n              -78.11588287353516,\n              35.46290704974907\n            ],\n            [\n              -78.10386657714844,\n              35.458153141593264\n            ],\n            [\n              -78.0963134765625,\n              35.46039030983905\n            ],\n            [\n              -78.08738708496094,\n              35.4508819151422\n            ],\n            [\n              -78.06541442871094,\n              35.443050628750456\n            ],\n            [\n              -78.06129455566406,\n              35.449483527031475\n            ],\n            [\n              -78.057861328125,\n              35.449483527031475\n            ],\n            [\n              -78.05477142333984,\n              35.43913469980961\n            ],\n            [\n              -78.04378509521484,\n              35.441372396815304\n            ],\n            [\n              -78.035888671875,\n              35.44500852178629\n            ],\n            [\n              -78.03279876708984,\n              35.43913469980961\n            ],\n            [\n              -78.02799224853516,\n              35.43381992014202\n            ],\n            [\n              -78.0197525024414,\n              35.431582013221295\n            ],\n            [\n              -78.02215576171875,\n              35.42626673502823\n            ],\n            [\n              -78.0197525024414,\n              35.420111764144515\n            ],\n            [\n              -78.01116943359375,\n              35.4159149234562\n            ],\n            [\n              -78.0087661743164,\n              35.41227748469718\n            ],\n            [\n              -78.01528930664062,\n              35.41003897923532\n            ],\n            [\n              -78.02696228027344,\n              35.40724075997159\n            ],\n            [\n              -78.03314208984375,\n              35.403882768619475\n            ],\n            [\n              -78.03348541259766,\n              35.3960469114653\n            ],\n            [\n              -78.02970886230467,\n              35.38429169786879\n            ],\n            [\n              -78.02799224853516,\n              35.37981307060428\n            ],\n            [\n              -78.02936553955077,\n              35.37477431775729\n            ],\n            [\n              -78.02112579345703,\n              35.375334194722704\n            ],\n            [\n              -78.01700592041016,\n              35.380372912608856\n            ],\n            [\n              -78.01769256591797,\n              35.38653091826541\n            ],\n            [\n              -78.02043914794922,\n              35.39296833065277\n            ],\n            [\n              -78.02043914794922,\n              35.399405229214004\n            ],\n            [\n              -78.01563262939453,\n              35.40220372048504\n            ],\n            [\n              -78.00670623779297,\n              35.401644030002146\n            ],\n            [\n              -78.00636291503905,\n              35.40584161390886\n            ],\n            [\n              -78.00052642822266,\n              35.41003897923532\n            ],\n            [\n              -77.99915313720703,\n              35.423469079290605\n            ],\n            [\n              -78.01116943359375,\n              35.42486791930558\n            ],\n            [\n              -78.00945281982422,\n              35.42738577011564\n            ],\n            [\n              -78.01116943359375,\n              35.43745638623712\n            ],\n            [\n              -78.02146911621092,\n              35.44109268809115\n            ],\n            [\n              -78.02661895751953,\n              35.4433303306713\n            ],\n            [\n              -78.0307388305664,\n              35.45172093634465\n            ],\n            [\n              -78.0410385131836,\n              35.453119285575234\n            ],\n            [\n              -78.04859161376953,\n              35.447525742853344\n            ],\n            [\n              -78.05065155029297,\n              35.447805429223266\n            ],\n            [\n              -78.05065155029297,\n              35.45591591113412\n            ],\n            [\n              -78.05923461914062,\n              35.45899208697615\n            ],\n            [\n              -78.06781768798828,\n              35.458153141593264\n            ],\n            [\n              -78.07296752929688,\n              35.45591591113412\n            ],\n            [\n              -78.07193756103516,\n              35.451441263582495\n            ],\n            [\n              -78.07846069335938,\n              35.45703453414025\n            ],\n            [\n              -78.08429718017577,\n              35.458153141593264\n            ],\n            [\n              -78.0849838256836,\n              35.46710144127944\n            ],\n            [\n              -78.09219360351561,\n              35.46961797120201\n            ],\n            [\n              -78.101806640625,\n              35.46849952318069\n            ],\n            [\n              -78.10626983642578,\n              35.46626258047241\n            ],\n            [\n              -78.10970306396484,\n              35.46794029333679\n            ],\n            [\n              -78.11141967773438,\n              35.476048745444416\n            ],\n            [\n              -78.11965942382812,\n              35.47800583551617\n            ],\n            [\n              -78.12137603759766,\n              35.474371201749165\n            ],\n            [\n              -78.12755584716797,\n              35.47660791889787\n            ],\n            [\n              -78.13133239746094,\n              35.47660791889787\n            ],\n            [\n              -78.14609527587889,\n              35.488629207403235\n            ],\n            [\n              -78.1467819213867,\n              35.49925117508564\n            ],\n            [\n              -78.14952850341797,\n              35.506238545834904\n            ],\n            [\n              -78.15467834472655,\n              35.50987173838399\n            ],\n            [\n              -78.15467834472655,\n              35.51825540148536\n            ],\n            [\n              -78.16154479980469,\n              35.528594046864725\n            ],\n            [\n              -78.16291809082031,\n              35.53278501016141\n            ],\n            [\n              -78.15536499023438,\n              35.540328192421704\n            ],\n            [\n              -78.15811157226562,\n              35.54423919285255\n            ],\n            [\n              -78.1509017944336,\n              35.55373654269702\n            ],\n            [\n              -78.15605163574219,\n              35.55485380401207\n            ],\n            [\n              -78.14987182617188,\n              35.56183633443312\n            ],\n            [\n              -78.15742492675781,\n              35.56881825654513\n            ],\n            [\n              -78.15673828125,\n              35.576916524038616\n            ],\n            [\n              -78.15433502197264,\n              35.58501397284422\n            ],\n            [\n              -78.16223144531249,\n              35.587806006729444\n            ],\n            [\n              -78.17218780517578,\n              35.58278027563934\n            ],\n            [\n              -78.17596435546875,\n              35.58278027563934\n            ],\n            [\n              -78.1732177734375,\n              35.591156318876756\n            ],\n            [\n              -78.1783676147461,\n              35.59311060288303\n            ],\n            [\n              -78.18283081054688,\n              35.59031875398378\n            ],\n            [\n              -78.19278717041016,\n              35.596181524214686\n            ],\n            [\n              -78.1955337524414,\n              35.60204386504707\n            ],\n            [\n              -78.19793701171875,\n              35.60539358129148\n            ],\n            [\n              -78.20686340332031,\n              35.60288130725417\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-10","publicationStatus":"PW","scienceBaseUri":"5566eabbe4b0d9246a9ec2d1","contributors":{"authors":[{"text":"Raabe, Joshua K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":547775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547482,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159889,"text":"70159889 - 2014 - The environmental geochemistry of Arsenic – An overview","interactions":[],"lastModifiedDate":"2018-08-08T10:48:06","indexId":"70159889","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"The environmental geochemistry of Arsenic – An overview","docAbstract":"<p><span>Arsenic is one of the most prevalent toxic elements in the environment. The toxicity, mobility, and fate of arsenic in the environment are determined by a complex series of controls dependent on mineralogy, chemical speciation, and biological processes. The element was first described by Theophrastus in 300 B.C. and named arsenikon (also arrhenicon;&nbsp;</span>Caley and Richards 1956<span>) referring to its “potent” nature, although it was originally considered an alternative form of sulfur (</span>Boyle and Jonasson 1973<span>). Arsenikon is believed to be derived from the earlier Persian,&nbsp;</span><i>zarnik</i><span>&nbsp;(online etymology dictionary,&nbsp;</span><i>http://www.etymonline.com/index.php?term=arsenic</i><span>). It was not until the thirteenth century that an alchemist, Albertus Magnus, was able to isolate the element from orpiment, an arsenic sulfide (As</span><sub>2</sub><span>S</span><sub>3</sub><span>). The complex chemistry required to do this led to arsenic being considered a “bastard metal” or what we now call a “metalloid,” having properties of both metals and non-metals. As a chemical element, arsenic is widely distributed in nature and can be concentrated in many different ways. In the Earth’s crust, arsenic is concentrated by magmatic and hydrothermal processes and has been used as a “pathfinder” for metallic ore deposits, particularly gold, tin, copper, and tungsten (</span>Boyle and Jonasson 1973<span>;&nbsp;</span>Cohen and Bowell 2014<span>). It has for centuries been considered a potent toxin, is a common poison in actual and fictional crimes, and has led to significant impacts on human health in many areas of the world (</span>Cullen 2008<span>;&nbsp;</span>Wharton 2010<span>).</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/rmg.2014.79.1","usgsCitation":"Bowell, R.J., Alpers, C.N., Jamieson, H.E., Nordstrom, D.K., and Majzlan, J., 2014, The environmental geochemistry of Arsenic – An overview: Reviews in Mineralogy and Geochemistry, v. 79, no. 1, p. 1-16, https://doi.org/10.2138/rmg.2014.79.1.","productDescription":"16 p. ","startPage":"1","endPage":"16","ipdsId":"IP-057897","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":328280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-05","publicationStatus":"PW","scienceBaseUri":"57cfe8bfe4b04836416a0e46","contributors":{"authors":[{"text":"Bowell, Robert J.","contributorId":150175,"corporation":false,"usgs":false,"family":"Bowell","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":17927,"text":"SRK Consulting Ltd.","active":true,"usgs":false}],"preferred":false,"id":580904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamieson, Heather E.","contributorId":150176,"corporation":false,"usgs":false,"family":"Jamieson","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":580906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":580907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Majzlan, Juraj","contributorId":127677,"corporation":false,"usgs":false,"family":"Majzlan","given":"Juraj","email":"","affiliations":[{"id":7107,"text":"Univ. of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":580908,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159888,"text":"70159888 - 2014 - Preface","interactions":[],"lastModifiedDate":"2018-02-15T12:10:06","indexId":"70159888","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Preface","docAbstract":"<p>Arsenic is perhaps history’s favorite poison, often termed the “King of Poisons” and the “Poison of Kings” and thought to be the demise of fiction’s most famous ill-fated lovers. The toxic nature of arsenic has been known for millennia with the mineral realgar (AsS), originally named “arsenikon” by Theophrastus in 300 B.C.E. meaning literally “potent.” For centuries it has been used as rat poison and as an important component of bactericides and wood preservatives. Arsenic is believed to be the cause of death to Napoleon Bonaparte who was exposed to wallpaper colored green from aceto-arsenite of copper (Aldersey-Williams 2011). The use of arsenic as a poison has been featured widely in literature, film, theatre, and television. Its use as a pesticide made it well known in the nineteenth century and it was exploited by Sir Arthur Conan Doyle in the Sherlock Holmes novel The Golden Pince-Nez (Conan-Doyle 1903). The dark comedy Arsenic and Old Lace is a prime example of arsenic in popular culture, being first a play but becoming famous as a movie.</p>","language":"English","publisher":"Mineralogical Society of America","usgsCitation":"Bowell, R.J., Alpers, C.N., Jamieson, H.E., Nordstrom, D.K., and Majzlan, J., 2014, Preface: Reviews in Mineralogy and Geochemistry, v. 79, no. 1, p. iii-v.","productDescription":"3 p.","startPage":"iii","endPage":"v","ipdsId":"IP-057895","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":340043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340042,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://rimg.geoscienceworld.org/content/79/1/iii.2"}],"volume":"79","issue":"1","publicComments":"This is the Preface to a special volume of this journal series, titled <i>Environmental Geochemistry, Mineralogy, and Microbiology of Arsenic</i>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f9c8d1e4b0b7ea545240f7","contributors":{"authors":[{"text":"Bowell, Robert J.","contributorId":150175,"corporation":false,"usgs":false,"family":"Bowell","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":17927,"text":"SRK Consulting Ltd.","active":true,"usgs":false}],"preferred":false,"id":692311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamieson, Heather E.","contributorId":150176,"corporation":false,"usgs":false,"family":"Jamieson","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":692313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":692314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Majzlan, Juraj","contributorId":127677,"corporation":false,"usgs":false,"family":"Majzlan","given":"Juraj","email":"","affiliations":[{"id":7107,"text":"Univ. of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":692315,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159659,"text":"70159659 - 2014 - ARkStorm@Tahoe: Stakeholder perspectives on vulnerabilities and preparedness for an extreme storm event in the greater Lake Tahoe, Reno, and Carson City region","interactions":[],"lastModifiedDate":"2017-04-17T16:28:58","indexId":"70159659","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"ARkStorm@Tahoe: Stakeholder perspectives on vulnerabilities and preparedness for an extreme storm event in the greater Lake Tahoe, Reno, and Carson City region","docAbstract":"<p>Atmospheric rivers (ARs) are strongly linked to extreme winter precipitation events in the Western U.S., accounting for 80 percent of extreme floods in the Sierra Nevada and surrounding lowlands. In 2010, the U.S. Geological Survey developed the ARkStorm extreme storm scenario for California to quantify risks from extreme winter storms and to allow stakeholders to better explore and mitigate potential impacts. To explore impacts on natural resources and communities in montane and adjacent environments, we downscaled the scenario to the greater Lake Tahoe, Reno and Carson City region of northern Nevada and California. This ArkStorm@Tahoe scenario was presented at six stakeholder meetings, each with a different geographic and subject matter focus. Discussions were facilitated by the ARkStorm@Tahoe team to identify social and ecological vulnerabilities to extreme winter storms, science and information needs, and proactive measures that might minimize impacts from this type of event. Information collected in these meetings was used to develop a tabletop emergency response exercise and set of recommendations for increasing resilience to extreme winter storm events in both Tahoe and the downstream communities of Northern Nevada.</p><p>Over 300 individuals participated in ARkStorm@Tahoe stakeholder meetings and the emergency response exercise, including representatives from emergency response, natural resource and ecosystem management, health and human services, public utilities, and businesses. Interruption of transportation, communications, and lack of power and backup fuel supplies were identified as the most likely and primary points of failure across multiple sectors and geographies, as these interruptions have cascading effects on natural and human systems by impeding emergency response efforts. Other key issues that arose in discussions included contamination risks to water supplies and aquatic ecosystems, especially in the Tahoe Basin and Pyramid Lake, interagency coordination, credentialing, flood management, and coordination of health and human services during such an event. Mitigation options were identified for each of the key issues. Several science needs were identified, particularly the need for improved flood inundation maps. Finally, key lessons learned were identified and may help to increase preparedness, response and recovery from extreme storms in the future.</p>","language":"English","publisher":"University of Nevada Cooperative Extension","usgsCitation":"Albano, C., Cox, D.A., Dettinger, M.D., Shaller, K., Welborn, T.L., and McCarthy, M., 2014, ARkStorm@Tahoe: Stakeholder perspectives on vulnerabilities and preparedness for an extreme storm event in the greater Lake Tahoe, Reno, and Carson City region, 43 p.","productDescription":"43 p.","numberOfPages":"48","ipdsId":"IP-059597","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":339833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311404,"type":{"id":15,"text":"Index Page"},"url":"https://environment.unr.edu/publications/"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d444e4b0f2e20545e431","contributors":{"authors":[{"text":"Albano, Christine M.","contributorId":17681,"corporation":false,"usgs":true,"family":"Albano","given":"Christine M.","affiliations":[],"preferred":false,"id":579950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Dale A. dacox@usgs.gov","contributorId":165,"corporation":false,"usgs":true,"family":"Cox","given":"Dale","email":"dacox@usgs.gov","middleInitial":"A.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":579951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"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":579949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaller, Kevin","contributorId":149898,"corporation":false,"usgs":false,"family":"Shaller","given":"Kevin","email":"","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":579953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welborn, Toby L. 0000-0003-4839-2405 tlwelbor@usgs.gov","orcid":"https://orcid.org/0000-0003-4839-2405","contributorId":2295,"corporation":false,"usgs":true,"family":"Welborn","given":"Toby","email":"tlwelbor@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCarthy, Maureen","contributorId":149897,"corporation":false,"usgs":false,"family":"McCarthy","given":"Maureen","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":579952,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70154758,"text":"70154758 - 2014 - Habitat use and selection by adult pallid sturgeon in the lower Mississippi River","interactions":[],"lastModifiedDate":"2015-07-01T11:21:24","indexId":"70154758","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use and selection by adult pallid sturgeon in the lower Mississippi River","docAbstract":"<p>The Pallid Sturgeon Scaphirhynchus albus is an endangered riverine sturgeon with historical distribution restricted to the Yellowstone, Missouri, Mississippi, and Atchafalaya rivers. Although not abundant, Pallid Sturgeon in the lower Mississippi River appear to be naturally recruiting, and information about habitat use is important to conserve this species. Thirty-four adult Pallid Sturgeon (612-1,013-mm FL) were tagged with acoustic transmitters and relocated a total of 272times in a 40-km reach of the lower Mississippi River from April 2009 through December 2012. Pallid Sturgeon strongly selected island tip and natural bank habitats, and, to a lesser degree, revetted bank habitat. Although frequently used, Pallid Sturgeon exhibited negative selection for the expansive main channel habitat. Secondary channel habitat was seasonally available and excluded from habitat selection analysis, but this habitat was frequently used in the spring when available. Fifty percent of Pallid Sturgeon detections were in relatively narrow ranges of depths (6.2-13.6m) and surface current velocities (0.64-1.05m/s). Use of different habitats was related to river stage and water temperature, suggesting use of some habitats was seasonal. Results suggest that maintaining natural bank habitat and secondary channel-island complexes will benefit conservation of this endangered species in the lower Mississippi River.&nbsp;</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.830987","usgsCitation":"Herrala, J.R., Kroboth, P.T., Kuntz, N.M., and Schramm, H.L., 2014, Habitat use and selection by adult pallid sturgeon in the lower Mississippi River: Transactions of the American Fisheries Society, v. 143, no. 1, p. 153-163, https://doi.org/10.1080/00028487.2013.830987.","productDescription":"11 p.","startPage":"153","endPage":"163","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035987","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.09588623046874,\n              33.76601951858593\n            ],\n            [\n              -91.11785888671875,\n              33.75346059828491\n            ],\n            [\n              -91.12541198730469,\n              33.73290566922855\n            ],\n            [\n              -91.1432647705078,\n              33.71120345644536\n            ],\n            [\n              -91.15768432617188,\n              33.70092154605078\n            ],\n            [\n              -91.19682312011719,\n              33.695208841799214\n            ],\n            [\n              -91.20986938476562,\n              33.689495757723215\n            ],\n            [\n              -91.20162963867188,\n              33.67806845022417\n            ],\n            [\n              -91.1920166015625,\n              33.66092464108172\n            ],\n            [\n              -91.16798400878906,\n              33.65463772160771\n            ],\n            [\n              -91.14944458007812,\n              33.643205782197015\n            ],\n            [\n              -91.12815856933594,\n              33.62662677351111\n            ],\n            [\n              -91.12541198730469,\n              33.59117129317289\n            ],\n            [\n              -91.14189147949219,\n              33.57629852690617\n            ],\n            [\n              -91.16386413574219,\n              33.56199537293026\n            ],\n            [\n              -91.19682312011719,\n              33.56256754458281\n            ],\n            [\n              -91.20162963867188,\n              33.57687060377715\n            ],\n            [\n              -91.18583679199219,\n              33.58373523046865\n            ],\n            [\n              -91.17347717285156,\n              33.597462845626424\n            ],\n            [\n              -91.17141723632812,\n              33.6134756354363\n            ],\n            [\n              -91.1700439453125,\n              33.63005717508159\n            ],\n            [\n              -91.17759704589844,\n              33.641490860339054\n            ],\n            [\n              -91.19750976562499,\n              33.64949353675974\n            ],\n            [\n              -91.2249755859375,\n              33.65806700735442\n            ],\n            [\n              -91.23939514160156,\n              33.680354033245564\n            ],\n            [\n              -91.23458862304688,\n              33.692923653745964\n            ],\n            [\n              -91.22360229492188,\n              33.70320652139349\n            ],\n            [\n              -91.19956970214844,\n              33.70777628973998\n            ],\n            [\n              -91.18789672851562,\n              33.71177463759947\n            ],\n            [\n              -91.16317749023438,\n              33.71919964686834\n            ],\n            [\n              -91.15219116210938,\n              33.742612777346885\n            ],\n            [\n              -91.14257812499999,\n              33.76088200086917\n            ],\n            [\n              -91.12060546875,\n              33.775152122972564\n            ],\n            [\n              -91.09588623046874,\n              33.76601951858593\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"143","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"55950f31e4b0b6d21dd6cbe9","contributors":{"authors":[{"text":"Herrala, Jason R.","contributorId":145434,"corporation":false,"usgs":false,"family":"Herrala","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroboth, Patrick T.","contributorId":145435,"corporation":false,"usgs":false,"family":"Kroboth","given":"Patrick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":564035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuntz, Nathan M.","contributorId":145433,"corporation":false,"usgs":false,"family":"Kuntz","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schramm, Harold L. Jr. hschramm@usgs.gov","contributorId":145424,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","suffix":"Jr.","email":"hschramm@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":563979,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156245,"text":"70156245 - 2014 - Stream water temperature limits occupancy of salamanders in mid-Atlantic protected areas","interactions":[],"lastModifiedDate":"2022-11-10T16:55:27.401072","indexId":"70156245","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Stream water temperature limits occupancy of salamanders in mid-Atlantic protected areas","docAbstract":"<p>Stream ecosystems are particularly sensitive to urbanization, and tolerance of water-quality parameters is likely important to population persistence of stream salamanders. Forecasted climate and landscape changes may lead to significant changes in stream flow, chemical composition, and temperatures in coming decades. Protected areas where landscape alterations are minimized will therefore become increasingly important for salamander populations. We surveyed 29 streams at three national parks in the highly urbanized greater metropolitan area of Washington, DC. We investigated relationships among water-quality variables and occupancy of three species of stream salamanders (<i>Desmognathus fuscus</i>, <i>Eurycea bislineata</i>, and <i>Pseudotriton ruber</i>). With the use of a set of site-occupancy models, and accounting for imperfect detection, we found that stream-water temperature limits salamander occupancy. There was substantial uncertainty about the effects of the other water-quality variables, although both specific conductance (SC) and pH were included in competitive models. Our estimates of occupancy suggest that temperature, SC, and pH have some importance in structuring stream salamander distribution.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/12-138","usgsCitation":"Grant, E., Wiewel, A., and Rice, K.C., 2014, Stream water temperature limits occupancy of salamanders in mid-Atlantic protected areas: Journal of Herpetology, v. 48, no. 1, p. 45-50, https://doi.org/10.1670/12-138.","productDescription":"5 p.","startPage":"45","endPage":"50","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061664","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":306822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia, West Virginia","otherGeospatial":"Chesapeake and Ohio Canal National Historical Park, Prince William Forest Park, Rock Creek Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.83019744229176,\n              39.599476007395026\n            ],\n            [\n              -77.82799661074574,\n              39.58994388338118\n            ],\n            [\n              -77.8315601835258,\n              39.57573746460676\n            ],\n            [\n              -77.83224320021303,\n              39.57123318002209\n            ],\n            [\n              -77.8356582836468,\n              39.56538302294277\n            ],\n            [\n              -77.84150187085604,\n              39.56397891179719\n            ],\n            [\n              -77.85569343979328,\n              39.56356937402424\n            ],\n            [\n              -77.86400120444158,\n              39.562946086631314\n            ],\n            [\n              -77.87796510114941,\n              39.562595049174774\n            ],\n            [\n              -77.88304978092921,\n              39.56066431140175\n            ],\n            [\n              -77.88707199030685,\n              39.55861650048328\n            ],\n            [\n              -77.88767911625072,\n              39.55557392690349\n            ],\n            [\n              -77.88555417544748,\n              39.552472704962156\n            ],\n            [\n              -77.87014835462301,\n              39.544631261321996\n            ],\n            [\n              -77.8643047674138,\n              39.53948117447271\n            ],\n            [\n              -77.86339407849786,\n              39.53717226149439\n            ],\n            [\n              -77.86400120444173,\n              39.528919346566\n            ],\n            [\n              -77.8649877841006,\n              39.52552424571428\n            ],\n            [\n              -77.86506367484337,\n              39.51873354602051\n            ],\n            [\n              -77.86369764147008,\n              39.51645031681011\n            ],\n            [\n              -77.85997899506411,\n              39.51498666886795\n            ],\n            [\n              -77.85331385979947,\n              39.515923407103685\n            ],\n            [\n              -77.84435875212814,\n              39.51797247795582\n            ],\n            [\n              -77.8418543576099,\n              39.51996294604788\n            ],\n            [\n              -77.84124723166602,\n              39.522948541233376\n            ],\n            [\n              -77.8413231224088,\n              39.527163280643805\n            ],\n            [\n              -77.84056421497937,\n              39.5299729648014\n            ],\n            [\n              -77.83730091303117,\n              39.532665472098216\n            ],\n            [\n              -77.83434117405517,\n              39.533075192315664\n            ],\n            [\n              -77.82553784786936,\n              39.53020710001607\n            ],\n            [\n              -77.82280578112224,\n              39.52529009470885\n            ],\n            [\n              -77.82310934409391,\n              39.5197873188049\n            ],\n            [\n              -77.82485483118201,\n              39.51612387957027\n            ],\n            [\n              -77.83054663690515,\n              39.51290379825886\n            ],\n            [\n              -77.83707324080156,\n              39.50874674531772\n            ],\n            [\n              -77.84534533178628,\n              39.50435522207587\n            ],\n            [\n              -77.84671136515954,\n              39.50201296286798\n            ],\n            [\n              -77.84557300401518,\n              39.49926070742842\n            ],\n            [\n              -77.84071599646421,\n              39.49791381930544\n            ],\n            [\n              -77.82773867941525,\n              39.494751457665615\n            ],\n            [\n              -77.81796351924373,\n              39.49422692391113\n            ],\n            [\n              -77.81242349500613,\n              39.49211858698729\n            ],\n            [\n              -77.79997741315772,\n              39.49088869425492\n            ],\n            [\n              -77.79193299440189,\n              39.491415793804066\n            ],\n            [\n              -77.78965627211309,\n              39.493231328331376\n            ],\n            [\n              -77.78662064239374,\n              39.497155063568385\n            ],\n            [\n              -77.78335734044553,\n              39.499438926879094\n            ],\n            [\n              -77.77986636626842,\n              39.499848843119594\n            ],\n            [\n              -77.7728844179148,\n              39.50008307988628\n            ],\n            [\n              -77.76726850293444,\n              39.49815060295555\n            ],\n            [\n              -77.76556692246066,\n              39.49954444068064\n            ],\n            [\n              -77.77224530784262,\n              39.50235524208841\n            ],\n            [\n              -77.78059328957067,\n              39.502472356346544\n            ],\n            [\n              -77.7877270194104,\n              39.500481387113496\n            ],\n            [\n              -77.79319115290467,\n              39.49439100953748\n            ],\n            [\n              -77.80199447909045,\n              39.493336851555654\n            ],\n            [\n              -77.80351229394985,\n              39.494039625319715\n            ],\n            [\n              -77.80806573852858,\n              39.49509377264482\n            ],\n            [\n              -77.81140493121956,\n              39.495445151534796\n            ],\n            [\n              -77.817172627686,\n              39.49696777286616\n            ],\n            [\n              -77.82779733170287,\n              39.49778763207678\n            ],\n            [\n              -77.83690422086032,\n              39.49942732148833\n            ],\n            [\n              -77.83796669126191,\n              39.50106697222037\n            ],\n            [\n              -77.83796669126191,\n              39.50317503775307\n            ],\n            [\n              -77.8265830798151,\n              39.509967258390816\n            ],\n            [\n              -77.820511820377,\n              39.518280969492764\n            ],\n            [\n              -77.82088213993408,\n              39.530431880158204\n            ],\n            [\n              -77.8219446103357,\n              39.53230492738541\n            ],\n            [\n              -77.8333282217825,\n              39.53593381258921\n            ],\n            [\n              -77.84000660716451,\n              39.53441204511512\n            ],\n            [\n              -77.8468367740326,\n              39.53078308036234\n            ],\n            [\n              -77.85078309266746,\n              39.52247086570853\n            ],\n            [\n              -77.86064888925488,\n              39.52282210617881\n            ],\n            [\n              -77.85882751142327,\n              39.531602540596964\n            ],\n            [\n              -77.86155957817037,\n              39.54202054888458\n            ],\n            [\n              -77.87203250070168,\n              39.549160078416975\n            ],\n            [\n              -77.88022870094304,\n              39.55290511163622\n            ],\n            [\n              -77.87704128973816,\n              39.557937181687606\n            ],\n            [\n              -77.87188071921557,\n              39.55969246908222\n            ],\n            [\n              -77.86565767829137,\n              39.559575451304426\n            ],\n            [\n              -77.84622964808872,\n              39.5612136822256\n            ],\n            [\n              -77.83449843550866,\n              39.56370326384973\n            ],\n            [\n              -77.8305521168738,\n              39.567798524835354\n            ],\n            [\n              -77.82463263892181,\n              39.584060173641575\n            ],\n            [\n              -77.82205235366027,\n              39.59201412293362\n            ],\n            [\n              -77.8228112610902,\n              39.598446796334485\n            ],\n            [\n              -77.82539154635121,\n              39.599850209327116\n            ],\n            [\n              -77.83019744229176,\n              39.599476007395026\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.04563511011274,\n              38.94305234029056\n            ],\n            [\n              -77.03622465798365,\n              38.95273188187417\n            ],\n            [\n              -77.03622465798365,\n              38.966422634386646\n            ],\n            [\n              -77.03622465798365,\n              38.98105465133162\n            ],\n            [\n              -77.0375906913575,\n              38.98211653488795\n            ],\n            [\n              -77.04001919513237,\n              38.986009971668864\n            ],\n            [\n              -77.04138522850623,\n              38.98872345249413\n            ],\n            [\n              -77.04290304336561,\n              38.992144649622986\n            ],\n            [\n              -77.0404745395907,\n              38.99639142288967\n            ],\n            [\n              -77.04867073983209,\n              38.98978522102479\n            ],\n            [\n              -77.05079568063533,\n              38.99084697362724\n            ],\n            [\n              -77.05868831790507,\n              38.99002116742426\n            ],\n            [\n              -77.06005435127858,\n              38.99558482226311\n            ],\n            [\n              -77.05990256979246,\n              38.99841589512937\n            ],\n            [\n              -77.05838475493309,\n              38.999005687719915\n            ],\n            [\n              -77.05868831790475,\n              39.001364808919305\n            ],\n            [\n              -77.05701872155926,\n              39.00219048275622\n            ],\n            [\n              -77.05717050304536,\n              39.004549497764316\n            ],\n            [\n              -77.05868831790475,\n              39.00679048916183\n            ],\n            [\n              -77.05519734372821,\n              39.00985699392339\n            ],\n            [\n              -77.05853653641918,\n              39.01398477116564\n            ],\n            [\n              -77.06142038465242,\n              39.01410270411884\n            ],\n            [\n              -77.06597382923057,\n              39.008913468156976\n            ],\n            [\n              -77.06354532545568,\n              39.00844170055299\n            ],\n            [\n              -77.06354532545568,\n              39.00384180152139\n            ],\n            [\n              -77.06597382923057,\n              38.994759071341946\n            ],\n            [\n              -77.06415245139955,\n              38.99310754059266\n            ],\n            [\n              -77.06354532545568,\n              38.987444856857394\n            ],\n            [\n              -77.06081325870855,\n              38.9846133451006\n            ],\n            [\n              -77.05565268818599,\n              38.98626507405575\n            ],\n            [\n              -77.0532241844105,\n              38.98425939816772\n            ],\n            [\n              -77.05231349549496,\n              38.98001189694304\n            ],\n            [\n              -77.05474199927075,\n              38.966000909588786\n            ],\n            [\n              -77.05504556224298,\n              38.96411267596386\n            ],\n            [\n              -77.05428665481298,\n              38.96139825195567\n            ],\n            [\n              -77.05595625115848,\n              38.96116221017033\n            ],\n            [\n              -77.0561080326446,\n              38.95891977399188\n            ],\n            [\n              -77.05914366236394,\n              38.95632318028228\n            ],\n            [\n              -77.05777762899008,\n              38.9543166563391\n            ],\n            [\n              -77.05459021778523,\n              38.951719893961695\n            ],\n            [\n              -77.05185815103754,\n              38.94817870102622\n            ],\n            [\n              -77.05200993252365,\n              38.946408038214685\n            ],\n            [\n              -77.05018855469203,\n              38.943220733700144\n            ],\n            [\n              -77.04563511011274,\n              38.94305234029056\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.39046199649644,\n              38.53533351006055\n            ],\n            [\n              -77.38621211488939,\n              38.54435620665325\n            ],\n            [\n              -77.38955130758036,\n              38.55290298041311\n            ],\n            [\n              -77.3828729221984,\n              38.562872932455605\n            ],\n            [\n              -77.37376603304094,\n              38.56026188819865\n            ],\n            [\n              -77.36890902549057,\n              38.557650749085866\n            ],\n            [\n              -77.36587339577123,\n              38.5533777713901\n            ],\n            [\n              -77.35524869175438,\n              38.55788812928782\n            ],\n            [\n              -77.34098123207434,\n              38.55503951511915\n            ],\n            [\n              -77.33673135046783,\n              38.5664332944811\n            ],\n            [\n              -77.32883871319815,\n              38.573316160885355\n            ],\n            [\n              -77.33066009102916,\n              38.584707042609864\n            ],\n            [\n              -77.33369572074852,\n              38.589927259664364\n            ],\n            [\n              -77.33490997263625,\n              38.5946725822034\n            ],\n            [\n              -77.34098123207434,\n              38.6022644458493\n            ],\n            [\n              -77.36040926227699,\n              38.608195030587325\n            ],\n            [\n              -77.37012327737831,\n              38.61246474810184\n            ],\n            [\n              -77.3874263667771,\n              38.6134135397092\n            ],\n            [\n              -77.39835463376617,\n              38.62100342082343\n            ],\n            [\n              -77.41292565641788,\n              38.62977821968596\n            ],\n            [\n              -77.43174656067663,\n              38.636180773601154\n            ],\n            [\n              -77.43903207200248,\n              38.633335264677925\n            ],\n            [\n              -77.43963919794633,\n              38.627169607860736\n            ],\n            [\n              -77.436603568227,\n              38.61792012848079\n            ],\n            [\n              -77.43296081256437,\n              38.61365073564974\n            ],\n            [\n              -77.42840736798566,\n              38.60890666781839\n            ],\n            [\n              -77.42446104935078,\n              38.6065345162657\n            ],\n            [\n              -77.4235503604347,\n              38.60107827008707\n            ],\n            [\n              -77.42628242718182,\n              38.59775687365416\n            ],\n            [\n              -77.4271931160979,\n              38.590876349264335\n            ],\n            [\n              -77.43083587176055,\n              38.58518162347909\n            ],\n            [\n              -77.42962161987337,\n              38.58233409122164\n            ],\n            [\n              -77.4256753012385,\n              38.5749774436467\n            ],\n            [\n              -77.4271931160979,\n              38.5688067711684\n            ],\n            [\n              -77.42749667906958,\n              38.56097400058496\n            ],\n            [\n              -77.42506817529464,\n              38.557175986328446\n            ],\n            [\n              -77.42415748637856,\n              38.54744265880842\n            ],\n            [\n              -77.41231853047398,\n              38.55005416870242\n            ],\n            [\n              -77.40867577481137,\n              38.54886713050905\n            ],\n            [\n              -77.40260451537269,\n              38.54815489818566\n            ],\n            [\n              -77.4019973894288,\n              38.5419819225458\n            ],\n            [\n              -77.39046199649644,\n              38.53533351006055\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d305bae4b0518e35468d25","contributors":{"authors":[{"text":"Grant, Evan H. Campbell ehgrant@usgs.gov","contributorId":146545,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","email":"ehgrant@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":568208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiewel, Amber N. M. awiewel@usgs.gov","contributorId":146573,"corporation":false,"usgs":true,"family":"Wiewel","given":"Amber N. M.","email":"awiewel@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":568330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":1998,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":568331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160725,"text":"70160725 - 2014 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013","interactions":[],"lastModifiedDate":"2016-10-20T10:06:45","indexId":"70160725","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013","docAbstract":"<p>In 2013, the U.S. Geological Survey’s Lake Erie Biological Station successfully completed large vessel surveys in all three of Lake Erie’s basins. Lake Erie Biological Station’s primary vessel surveys included the Western Basin Forage Fish Assessment and East Harbor Forage Fish Assessment as well as contributing to the cooperative multi-agency Central Basin Hydroacoustics Assessment and the Eastern Basin Coldwater Community Assessment (see Forage Task Group and Coldwater Task Group reports, respectively). Further large vessel sampling included individual research data collection as well as assisting with University (e.g., University of Toledo) and agency (e.g., USFWS, USEPA) large vessel sampling needs. Our 2013 vessel operations began on April 4th and concluded on November 21 with a total of 77 large vessel sampling days (83 total days). During this time, crews of the R/V Muskie and R/V Bowfin deployed 174 trawls covering 147 km of lake-bottom, over 13 km of gillnet, collected hydroacoustic data that extended over 250 km of the central and eastern basins, and approximately 180 collective zooplankton, benthos, and water samples. </p><p>2013 was the first complete sampling year using the R/V Muskie. Technologies available on the new platform provided opportunities for LEBS to improve data sampling methods and results. An investment was made in mensuration gear for the trawls. This gear is attached to the trawl’s headrope, footrope, and wings; thus, allowing measurement of the area swept and conversion of catches to densities. Another improvement included real-time output of water parameter sonde profiles (e.g., temperature, dissolved oxygen). The ability to view profile data on a tablet allowed quick identification of thermoclines as well as the presence (or absence) of hypoxia. Minor modifications were made to survey designs relative to last year (see 2013 report), and thus, collection of long-term data from the R/V Muskie has commenced. One minor change was that we are now indexing yellow perch maturation data during our fall trawl surveys in response to a request from the Lake Erie Yellow Perch Task Group. Within the following sections, we describe results from our 2013 sampling efforts in Lake Erie. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled Reports to the Great Lakes Fishery Commission of the Annual Bottom Trawl and Acoustic Surveys, 2013","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Kraus, R.T., Rogers, M.W., Kocovsky, P., Edwards, W., Bodamer Scarbro, B.L., Keretz, K.R., and Berkman, S.A., 2014, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013, 43 p.","productDescription":"43 p.","startPage":"3","endPage":"45","ipdsId":"IP-055461","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":330112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313004,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/lakecom/common_docs/Compiled%20Reports%20from%20USGS%202014.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5809d7c4e4b0f497e78fca73","contributors":{"authors":[{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":583695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, William wedwards@usgs.gov","contributorId":3668,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"wedwards@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodamer Scarbro, Betsy L. 0000-0002-9022-7027 bbodamerscarbro@usgs.gov","orcid":"https://orcid.org/0000-0002-9022-7027","contributorId":5857,"corporation":false,"usgs":true,"family":"Bodamer Scarbro","given":"Betsy","email":"bbodamerscarbro@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keretz, Kevin R. 0000-0002-4808-8350 kkeretz@usgs.gov","orcid":"https://orcid.org/0000-0002-4808-8350","contributorId":5859,"corporation":false,"usgs":true,"family":"Keretz","given":"Kevin","email":"kkeretz@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":583701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Berkman, Stephanie A. sberkman@usgs.gov","contributorId":5858,"corporation":false,"usgs":true,"family":"Berkman","given":"Stephanie","email":"sberkman@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583700,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70188054,"text":"70188054 - 2014 - Earth observation based assessment of the water production and water consumption of Nile Basin agro-ecosystems","interactions":[],"lastModifiedDate":"2017-05-31T16:11:56","indexId":"70188054","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Earth observation based assessment of the water production and water consumption of Nile Basin agro-ecosystems","docAbstract":"<p><span>The increasing competition for water resources requires a better understanding of flows, fluxes, stocks, and the services and benefits related to water consumption. This paper explains how public domain Earth Observation data based on Moderate Resolution Imaging Spectroradiometer (MODIS), Second Generation Meteosat (MSG), Tropical Rainfall Measurement Mission (TRMM) and various altimeter measurements can be used to estimate net water production (rainfall (P) &gt; evapotranspiration (ET)) and net water consumption (ET &gt; P) of Nile Basin agro-ecosystems. Rainfall data from TRMM and the Famine Early Warning System Network (FEWS-NET) RainFall Estimates (RFE) products were used in conjunction with actual evapotranspiration from the Operational Simplified Surface Energy Balance (SSEBop) and ETLook models. Water flows laterally between net water production and net water consumption areas as a result of runoff and withdrawals. This lateral flow between the 15 sub-basins of the Nile was estimated, and partitioned into stream flow and non-stream flow using the discharge data. A series of essential water metrics necessary for successful integrated water management are explained and computed. Net water withdrawal estimates (natural and humanly instigated) were assumed to be the difference between net rainfall (P</span><sub>net</sub><span>) and actual evapotranspiration (ET) and some first estimates of withdrawals—without flow meters—are provided. Groundwater-dependent ecosystems withdraw large volumes of groundwater, which exceed water withdrawals for the irrigation sector. There is a strong need for the development of more open-access Earth Observation databases, especially for information related to actual ET. The fluxes, flows and storage changes presented form the basis for a global framework to describe monthly and annual water accounts in ungauged river basins. </span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs61110306","usgsCitation":"Bastiaanssen, W., Karimi, P., Rebelo, L., Duan, Z., Senay, G., Muthuwatte, L., and Smakhtin, V., 2014, Earth observation based assessment of the water production and water consumption of Nile Basin agro-ecosystems: Remote Sensing, v. 6, no. 11, p. 10306-10334, https://doi.org/10.3390/rs61110306.","productDescription":"29 p.","startPage":"10306","endPage":"10334","ipdsId":"IP-057431","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs61110306","text":"Publisher Index Page"},{"id":341872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Nile Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              23.818359375,\n              -3.688855143147035\n            ],\n            [\n              37.6171875,\n              -3.688855143147035\n            ],\n            [\n              37.6171875,\n              31.57853542647338\n            ],\n            [\n              23.818359375,\n              31.57853542647338\n            ],\n            [\n              23.818359375,\n              -3.688855143147035\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-24","publicationStatus":"PW","scienceBaseUri":"592e84c6e4b092b266f10da3","contributors":{"authors":[{"text":"Bastiaanssen, Wim","contributorId":192421,"corporation":false,"usgs":false,"family":"Bastiaanssen","given":"Wim","email":"","affiliations":[],"preferred":false,"id":696478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karimi, Poolad","contributorId":192422,"corporation":false,"usgs":false,"family":"Karimi","given":"Poolad","email":"","affiliations":[],"preferred":false,"id":696479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rebelo, Lisa-Maria","contributorId":192423,"corporation":false,"usgs":false,"family":"Rebelo","given":"Lisa-Maria","email":"","affiliations":[],"preferred":false,"id":696480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duan, Zheng","contributorId":192424,"corporation":false,"usgs":false,"family":"Duan","given":"Zheng","email":"","affiliations":[],"preferred":false,"id":696481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muthuwatte, Lal","contributorId":192425,"corporation":false,"usgs":false,"family":"Muthuwatte","given":"Lal","email":"","affiliations":[],"preferred":false,"id":696482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smakhtin, Vladimir","contributorId":192426,"corporation":false,"usgs":false,"family":"Smakhtin","given":"Vladimir","email":"","affiliations":[],"preferred":false,"id":696483,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70148037,"text":"70148037 - 2014 - Arsenic associated with historical gold mining in the Sierra Nevada foothills: Case study and field trip guide for Empire Mine State Historic Park, California","interactions":[],"lastModifiedDate":"2017-11-08T19:36:33","indexId":"70148037","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Arsenic associated with historical gold mining in the Sierra Nevada foothills: Case study and field trip guide for Empire Mine State Historic Park, California","docAbstract":"<p id=\"p-1\">The Empire Mine, together with other mines in the Grass Valley mining district, produced at least 21.3 million troy ounces (663 tonnes) of gold (Au) during the 1850s through the 1950s, making it the most productive hardrock Au mining district in California history (<span class=\"xref-bibr\">Clark 1970</span>). The Empire Mine State Historic Park (Empire Mine SHP or EMSHP), established in 1975, provides the public with an opportunity to see many well-preserved features of the historic mining and mineral processing operations (<span class=\"xref-bibr\">CDPR 2014a</span>).</p><p id=\"p-2\">A legacy of Au mining at Empire Mine and elsewhere is contamination of mine wastes and associated soils, surface waters, and groundwaters with arsenic (As), mercury (Hg), lead (Pb), and other metals. At EMSHP, As has been the principal contaminant of concern and the focus of extensive remediation efforts over the past several years by the State of California, Department of Parks and Recreation (DPR) and Newmont USA, Ltd. In addition, the site is the main focus of a multidisciplinary research project on As bioavailability and bioaccessibility led by the California Department of Toxic Substances Control (DTSC) and funded by the U.S. Environmental Protection Agency’s (USEPA’s) Brownfields Program.</p><p id=\"p-3\">This chapter was prepared as a guide for a field trip to EMSHP held on June 14, 2014, in conjunction with a short course on “Environmental Geochemistry, Mineralogy, and Microbiology of Arsenic” held in Nevada City, California on June 15–16, 2014. This guide contains background information on geological setting, mining history, and environmental history at EMSHP and other historical Au mining districts in the Sierra Nevada, followed by descriptions of the field trip stops.</p>","language":"English","publisher":"Mineralogical Society of America; Geochemical Society","doi":"10.2138/rmg.2014.79.13","usgsCitation":"Alpers, C.N., Myers, P.A., Millsap, D., and Regnier, T.B., 2014, Arsenic associated with historical gold mining in the Sierra Nevada foothills: Case study and field trip guide for Empire Mine State Historic Park, California: Reviews in Mineralogy and Geochemistry, v. 79, no. 1, p. 553-587, https://doi.org/10.2138/rmg.2014.79.13.","productDescription":"35 p.","startPage":"553","endPage":"587","ipdsId":"IP-055866","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":341277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"1","publicComments":"This publication is part of a special volume, which presents a comprehensive review of the topics covered at the “Environmental Geochemistry, Mineralogy, and Microbiology of Arsenic” short course.","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-05","publicationStatus":"PW","scienceBaseUri":"59181b32e4b044b359e48913","contributors":{"editors":[{"text":"Bowell, Robert J.","contributorId":150175,"corporation":false,"usgs":false,"family":"Bowell","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":17927,"text":"SRK Consulting Ltd.","active":true,"usgs":false}],"preferred":false,"id":695071,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695072,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Jamieson, Heather E.","contributorId":150176,"corporation":false,"usgs":false,"family":"Jamieson","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":695073,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":695074,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Majzlan, Juraj","contributorId":127677,"corporation":false,"usgs":false,"family":"Majzlan","given":"Juraj","email":"","affiliations":[{"id":7107,"text":"Univ. of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":695075,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Perry A","contributorId":140773,"corporation":false,"usgs":false,"family":"Myers","given":"Perry","email":"","middleInitial":"A","affiliations":[{"id":13556,"text":"California Dept. of Toxic Substances Control","active":true,"usgs":false}],"preferred":false,"id":546912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Millsap, Daniel","contributorId":140774,"corporation":false,"usgs":false,"family":"Millsap","given":"Daniel","email":"","affiliations":[{"id":13557,"text":"Califonia Dept. of Parks and Recreation","active":true,"usgs":false}],"preferred":false,"id":546913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regnier, Tamsen B","contributorId":140775,"corporation":false,"usgs":false,"family":"Regnier","given":"Tamsen","email":"","middleInitial":"B","affiliations":[{"id":13558,"text":"Clean Harbors, San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":546914,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186518,"text":"70186518 - 2014 - USGS48 Puerto Rico precipitation - A new isotopic reference material for δ<sup>2</sup>H and δ<sup>18</sup>O measurements of water","interactions":[],"lastModifiedDate":"2017-04-05T08:52:41","indexId":"70186518","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2114,"text":"Isotopes in Environmental and Health Studies","active":true,"publicationSubtype":{"id":10}},"title":"USGS48 Puerto Rico precipitation - A new isotopic reference material for δ<sup>2</sup>H and δ<sup>18</sup>O measurements of water","docAbstract":"<p><span>A new secondary isotopic reference material has been prepared from Puerto Rico precipitation, which was filtered, homogenised, loaded into glass ampoules, sealed with a torch, autoclaved to eliminate biological activity, and calibrated by dual-inlet isotope-ratio mass spectrometry. This isotopic reference material, designated as USGS48, is intended to be one of two isotopic reference waters for daily normalisation of stable hydrogen (δ</span><sup>2</sup><span>H) and stable oxygen (δ</span><sup>18</sup><span>O) isotopic analysis of water with a mass spectrometer or a laser absorption spectrometer. The δ</span><sup>2</sup><span>H and δ</span><sup>18</sup><span>O values of this reference water are−2.0±0.4 and−2.224±0.012 ‰, respectively, relative to Vienna Standard Mean Ocean Water on scales normalised such that the δ</span><sup>2</sup><span>H and δ</span><sup>18</sup><span>O values of Standard Light Antarctic Precipitation reference water are−428 and−55.5 ‰, respectively. Each uncertainty is an estimated expanded uncertainty (</span><i>U</i><span>=2</span><i>u</i><sub>c</sub><span>) about the reference value that provides an interval that has about a 95&nbsp;% probability of encompassing the true value. This isotopic reference water is available by the case of 144 glass ampoules containing 5&nbsp;mL of water in each ampoule.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10256016.2014.905555","usgsCitation":"Qi, H., Coplen, T.B., Tarbox, L.V., Lorenz, J.M., and Scholl, M.A., 2014, USGS48 Puerto Rico precipitation - A new isotopic reference material for δ<sup>2</sup>H and δ<sup>18</sup>O measurements of water: Isotopes in Environmental and Health Studies, v. 50, no. 4, p. 442-447, https://doi.org/10.1080/10256016.2014.905555.","productDescription":"6 p.","startPage":"442","endPage":"447","ipdsId":"IP-052742","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":339182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","volume":"50","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-16","publicationStatus":"PW","scienceBaseUri":"58e60273e4b09da6799ac68d","contributors":{"authors":[{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":688558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":688559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tarbox, Lauren V. 0000-0002-4126-1851 ltarbox@usgs.gov","orcid":"https://orcid.org/0000-0002-4126-1851","contributorId":5319,"corporation":false,"usgs":true,"family":"Tarbox","given":"Lauren","email":"ltarbox@usgs.gov","middleInitial":"V.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":688560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenz, Jennifer M. 0000-0002-5826-7264 jlorenz@usgs.gov","orcid":"https://orcid.org/0000-0002-5826-7264","contributorId":3558,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jennifer","email":"jlorenz@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":688561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":688562,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188057,"text":"70188057 - 2014 - Land cover characterization and mapping of South America for the year 2010 using Landsat 30 m satellite data","interactions":[],"lastModifiedDate":"2017-05-30T13:33:33","indexId":"70188057","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Land cover characterization and mapping of South America for the year 2010 using Landsat 30 m satellite data","docAbstract":"<p><span>Detailed and accurate land cover and land cover change information is needed for South America because the continent is in constant flux, experiencing some of the highest rates of land cover change and forest loss in the world. The land cover data available for the entire continent are too coarse (250 m to 1 km) for resource managers, government and non-government organizations, and Earth scientists to develop conservation strategies, formulate resource management options, and monitor land cover dynamics. We used Landsat 30 m satellite data of 2010 and prepared the land cover database of South America using state-of-the-science remote sensing techniques. We produced regionally consistent and locally relevant land cover information by processing a large volume of data covering the entire continent. Our analysis revealed that in 2010, 50% of South America was covered by forests, 2.5% was covered by water, and 0.02% was covered by snow and ice. The percent forest area of South America varies from 9.5% in Uruguay to 96.5% in French Guiana. We used very high resolution (&lt;5 m) satellite data to validate the land cover product. The overall accuracy of the 2010 South American 30-m land cover map is 89% with a Kappa coefficient of 79%. Accuracy of barren areas needs to improve possibly using multi-temporal Landsat data. An update of land cover and change database of South America with additional land cover classes is needed. The results from this study are useful for developing resource management strategies, formulating biodiversity conservation strategies, and regular land cover monitoring and forecasting. </span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs6109494","usgsCitation":"Giri, C., and Long, J., 2014, Land cover characterization and mapping of South America for the year 2010 using Landsat 30 m satellite data: Remote Sensing, v. 6, no. 10, p. 9494-9510, https://doi.org/10.3390/rs6109494.","productDescription":"17 p.","startPage":"9494","endPage":"9510","ipdsId":"IP-059806","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs6109494","text":"Publisher Index Page"},{"id":341862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South America","volume":"6","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-08","publicationStatus":"PW","scienceBaseUri":"592e84c6e4b092b266f10d9f","contributors":{"authors":[{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":189128,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Jordan 0000-0002-4814-464X jlong@usgs.gov","orcid":"https://orcid.org/0000-0002-4814-464X","contributorId":3609,"corporation":false,"usgs":true,"family":"Long","given":"Jordan","email":"jlong@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696341,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188320,"text":"70188320 - 2014 - Detecting the influence of best management practices on vegetation near ephemeral streams with Landsat data","interactions":[],"lastModifiedDate":"2017-06-06T14:00:55","indexId":"70188320","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Detecting the influence of best management practices on vegetation near ephemeral streams with Landsat data","docAbstract":"<p><span>Various best management practices (BMPs) have been implemented on rangelands with the goals of controlling nonpoint source pollution, reducing the impact of livestock in ecologically important riparian areas, and improving grazing distribution. Providing off-stream water sources to livestock in pastures, cross-fencing, and rotational grazing are common rangeland BMPs that have demonstrated success in drawing livestock grazing pressure away from streams. We evaluated the effects of rangeland BMP implementation with six commercial-scale pastures in the northern mixed-grass prairie. Four pastures received a BMP suite consisting of off-stream water, cross-fencing, and deferred-rotation grazing, and two pastures did not receive BMPs. We hypothesized that the BMPs increased the quantity of riparian vegetation cover relative to the conditions in these pastures during the pre-BMP period and to the two pastures that did not receive BMPs. We used a series of 30-m Landsat normalized difference vegetation index (NDVI) images to track the spatial and temporal changes (1984–2010, </span><i>n</i><span> = 24) in vegetation cover, to which NDVI has been well correlated. Validation indicated that the remotely sensed signal from in-channel vegetation was representative of ground conditions. The BMP suite was associated with a 15% increase in the in-channel NDVI (0–30 m from stream centerline) and 18% increase in the riparian NDVI (30–180 m from stream center line). Conversely, the in-channel and riparian NDVI of non-BMP pastures declined 30% and 18% over the study period. The majority of change occurred within 2 yr of BMP implementation. The patterns of in-channel NDVI among pastures suggested that BMP implementation likely altered grazing distribution by decreasing the preferential use of riparian and in-channel areas. We demonstrated that satellite imagery time series are useful in retrospectively evaluating the efficacy of conservation practices, providing critical information to guide adaptive management and decision makers.</span></p>","language":"English","publisher":"Elsevier","doi":"10.2111/REM-D-12-00185.1","usgsCitation":"Rigge, M.B., Smart, A., Wylie, B.K., and de Van Kamp, K., 2014, Detecting the influence of best management practices on vegetation near ephemeral streams with Landsat data: Rangeland Ecology and Management, v. 67, no. 1, p. 1-8, https://doi.org/10.2111/REM-D-12-00185.1.","productDescription":"8 p.","startPage":"1","endPage":"8","ipdsId":"IP-035745","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":342160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf2fe4b0f6c2d0d9c781","contributors":{"authors":[{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smart, Alexander","contributorId":24262,"corporation":false,"usgs":true,"family":"Smart","given":"Alexander","affiliations":[],"preferred":false,"id":697310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Van Kamp, Kendall","contributorId":192662,"corporation":false,"usgs":false,"family":"de Van Kamp","given":"Kendall","email":"","affiliations":[],"preferred":false,"id":697312,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187636,"text":"70187636 - 2014 - Combined global change effects on ecosystem processesin nine U.S. topographically complex areas","interactions":[],"lastModifiedDate":"2018-03-16T10:20:44","indexId":"70187636","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Combined global change effects on ecosystem processesin nine U.S. topographically complex areas","docAbstract":"<p><span>Concurrent changes in climate, atmospheric nitrogen (N) deposition, and increasing levels of atmospheric carbon dioxide (CO</span><sub>2</sub><span>) affect ecosystems in complex ways. The DayCent-Chem model was used to investigate the combined effects of these human-caused drivers of change over the period 1980–2075 at seven forested montane and two alpine watersheds in the United States. Net ecosystem production (NEP) increased linearly with increasing N deposition for six out of seven forested watersheds; warming directly increased NEP at only two of these sites. Warming reduced soil organic carbon storage at all sites by increasing heterotrophic respiration. At most sites, warming together with high N deposition increased nitrous oxide (N</span><sub>2</sub><span>O) emissions enough to negate the greenhouse benefit of soil carbon sequestration alone, though there was a net greenhouse gas sink across nearly all sites mainly due to the effect of CO</span><sub>2</sub><span> fertilization and associated sequestration by plants. Over the simulation period, an increase in atmospheric CO</span><sub>2</sub><span> from 350 to 600&nbsp;ppm was the main driver of change in net ecosystem greenhouse gas sequestration at all forested sites and one of two alpine sites, but an additional increase in CO</span><sub>2</sub><span> from 600 to 760&nbsp;ppm produced smaller effects. Warming either increased or decreased net greenhouse gas sequestration, depending on the site. The N contribution to net ecosystem greenhouse gas sequestration averaged across forest sites was only 5–7&nbsp;% and was negligible for the alpine. Stream nitrate (NO</span><sub>3</sub><sup>−</sup><span>) fluxes increased sharply with N-loading, primarily at three watersheds where initial N deposition values were high relative to terrestrial N uptake capacity. The simulated results displayed fewer synergistic responses to warming, N-loading, and CO</span><sub>2</sub><span> fertilization than expected. Overall, simulations with DayCent-Chem suggest individual site characteristics and historical patterns of N deposition are important determinants of forest or alpine ecosystem responses to global change.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-014-9950-9","usgsCitation":"Hartman, M.D., Baron, J., Ewing, H.A., and Weathers, K., 2014, Combined global change effects on ecosystem processesin nine U.S. topographically complex areas: Biogeochemistry, v. 119, no. 1, p. 85-108, https://doi.org/10.1007/s10533-014-9950-9.","productDescription":"24 p.","startPage":"85","endPage":"108","ipdsId":"IP-071832","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":341157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"119","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-25","publicationStatus":"PW","scienceBaseUri":"5915495fe4b01a342e691301","contributors":{"authors":[{"text":"Hartman, Melannie D.","contributorId":98836,"corporation":false,"usgs":true,"family":"Hartman","given":"Melannie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":694872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":174080,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":694871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ewing, Holly A.","contributorId":191962,"corporation":false,"usgs":false,"family":"Ewing","given":"Holly","email":"","middleInitial":"A.","affiliations":[{"id":33413,"text":"Bates College","active":true,"usgs":false}],"preferred":false,"id":694874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weathers, Kathleen","contributorId":191961,"corporation":false,"usgs":false,"family":"Weathers","given":"Kathleen","affiliations":[{"id":7188,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY, USA","active":true,"usgs":false}],"preferred":false,"id":694873,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189671,"text":"70189671 - 2014 - Identifying non-point sources of endocrine active compounds and their biological impacts in freshwater lakes","interactions":[],"lastModifiedDate":"2018-09-04T16:40:37","indexId":"70189671","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Identifying non-point sources of endocrine active compounds and their biological impacts in freshwater lakes","docAbstract":"<p><span>Contaminants of emerging concern, particularly endocrine active compounds (EACs), have been identified as a threat to aquatic wildlife. However, little is known about the impact of EACs on lakes through groundwater from onsite wastewater treatment systems (OWTS). This study aims to identify specific contributions of OWTS to Sullivan Lake, Minnesota, USA. Lake hydrology, water chemistry, caged bluegill sunfish (</span><i class=\"EmphasisTypeItalic \">Lepomis macrochirus</i><span>), and larval fathead minnow (</span><i class=\"EmphasisTypeItalic \">Pimephales promelas</i><span>) exposures were used to assess whether EACs entered the lake through OWTS inflow and the resultant biological impact on fish. Study areas included two OWTS-influenced near-shore sites with native bluegill spawning habitats and two in-lake control sites without nearby EAC sources. Caged bluegill sunfish were analyzed for plasma vitellogenin concentrations, organosomatic indices, and histological pathologies. Surface and porewater was collected from each site and analyzed for EACs. Porewater was also collected for laboratory exposure of larval fathead minnow, before analysis of predator escape performance and gene expression profiles. Chemical analysis showed EACs present at low concentrations at each study site, whereas discrete variations were reported between sites and between summer and fall samplings. Body condition index and liver vacuolization of sunfish were found to differ among study sites as did gene expression in exposed larval fathead minnows. Interestingly, biological exposure data and water chemistry did not match. Therefore, although results highlight the potential impacts of seepage from OWTS, further investigation of mixture effects and life history factor as well as chemical fate is warranted.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-014-0052-4","usgsCitation":"Baker, B.H., Martinovic-Weigelt, D., Ferrey, M.L., Barber, L.B., Writer, J.H., Rosenberry, D.O., Kiesling, R.L., Lundy, J.R., and Schoenfuss, H.L., 2014, Identifying non-point sources of endocrine active compounds and their biological impacts in freshwater lakes: Archives of Environmental Contamination and Toxicology, v. 67, no. 3, p. 374-388, https://doi.org/10.1007/s00244-014-0052-4.","productDescription":"15 p.","startPage":"374","endPage":"388","ipdsId":"IP-057586","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","county":"Wright County","city":"Maple Lake Township","otherGeospatial":"Sullivan Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.94999265670776,\n              45.217084825093266\n            ],\n            [\n              -93.93267631530762,\n              45.217084825093266\n            ],\n            [\n              -93.93267631530762,\n              45.22789121544507\n            ],\n            [\n              -93.94999265670776,\n              45.22789121544507\n            ],\n            [\n              -93.94999265670776,\n              45.217084825093266\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"67","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-06-29","publicationStatus":"PW","scienceBaseUri":"59706fbce4b0d1f9f065a905","contributors":{"authors":[{"text":"Baker, Beth H.","contributorId":194915,"corporation":false,"usgs":false,"family":"Baker","given":"Beth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":705718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinovic-Weigelt, Dalma","contributorId":173655,"corporation":false,"usgs":false,"family":"Martinovic-Weigelt","given":"Dalma","affiliations":[{"id":6748,"text":"University of St. Thomas","active":true,"usgs":false}],"preferred":false,"id":705719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrey, Mark L.","contributorId":59912,"corporation":false,"usgs":true,"family":"Ferrey","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":705721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Writer, Jeffrey H. jwriter@usgs.gov","contributorId":1393,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","middleInitial":"H.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":705722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":705723,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","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":705724,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lundy, James R.","contributorId":102737,"corporation":false,"usgs":true,"family":"Lundy","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":705725,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":705726,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70189089,"text":"70189089 - 2014 - Mapping saltwater intrusion in the Biscayne Aquifer, Miami-Dade County, Florida using transient electromagnetic sounding","interactions":[],"lastModifiedDate":"2017-11-06T11:03:19","indexId":"70189089","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Mapping saltwater intrusion in the Biscayne Aquifer, Miami-Dade County, Florida using transient electromagnetic sounding","docAbstract":"<p><span>Saltwater intrusion in southern Florida poses a potential threat to the public drinking-water supply that is typically monitored using water samples and electromagnetic induction logs collected from a network of wells. Transient electromagnetic (TEM) soundings are a complementary addition to the monitoring program because of their ease of use, low cost, and ability to fill in data gaps between wells. TEM soundings have been used to map saltwater intrusion in the Biscayne aquifer over a large part of south Florida including eastern Miami-Dade County and the Everglades. These two areas are very different with one being urban and the other undeveloped. Each poses different conditions that affect data collection and data quality. In the developed areas, finding sites large enough to make soundings is difficult. The presence of underground pipes further restricts useable locations. Electromagnetic noise, which reduces data quality, is also an issue. In the Everglades, access to field sites is difficult and working in water-covered terrain is challenging. Nonetheless, TEM soundings are an effective tool for mapping saltwater intrusion. Direct estimates of water quality can be obtained from the inverted TEM data using a formation factor determined for the Biscayne aquifer. This formation factor is remarkably constant over Miami-Dade County owing to the uniformity of the aquifer and the absence of clay. Thirty-six TEM soundings were collected in the Model Land area of southeast Miami-Dade County to aid in calibration of a helicopter electromagnetic (HEM) survey. The soundings and HEM survey revealed an area of saltwater intrusion aligned with canals and drainage ditches along U.S. Highway 1 and the Card Sound Road. These canals and ditches likely reduced freshwater levels through unregulated drainage and provided pathways for seawater to flow at least 12.4&nbsp;km inland.</span></p>","language":"English","publisher":"Environmental and Engineering Geophysical","doi":"10.2113/JEEG19.1.33","usgsCitation":"Fitterman, D.V., 2014, Mapping saltwater intrusion in the Biscayne Aquifer, Miami-Dade County, Florida using transient electromagnetic sounding: Journal of Environmental & Engineering Geophysics, v. 19, no. 1, p. 33-43, https://doi.org/10.2113/JEEG19.1.33.","productDescription":"11 p.","startPage":"33","endPage":"43","ipdsId":"IP-044880","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Miami-Dade County","otherGeospatial":"Biscayne Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.243896484375,\n              25.088086383542663\n            ],\n            [\n              -80.0848388671875,\n              25.088086383542663\n            ],\n            [\n              -80.0848388671875,\n              25.958044673317843\n            ],\n            [\n              -81.243896484375,\n              25.958044673317843\n            ],\n            [\n              -81.243896484375,\n              25.088086383542663\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c2e4b0d1f9f05067b0","contributors":{"authors":[{"text":"Fitterman, David V. dfitterman@usgs.gov","contributorId":1106,"corporation":false,"usgs":true,"family":"Fitterman","given":"David","email":"dfitterman@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702815,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189135,"text":"70189135 - 2014 - Carbonate rocks of the Seward Peninsula, Alaska: Their correlation and paleogeographic significance","interactions":[],"lastModifiedDate":"2018-05-07T21:00:10","indexId":"70189135","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Carbonate rocks of the Seward Peninsula, Alaska: Their correlation and paleogeographic significance","docAbstract":"Paleozoic carbonate strata deposited in shallow platform to off-platform settings occur across the Seward Peninsula and range from unmetamorphosed Ordovician–Devonian(?) rocks of the York succession in the west to highly deformed and metamorphosed Cambrian–Devonian units of the Nome Complex in the east. Faunal and lithologic correlations indicate that early Paleozoic strata in the two areas formed as part of a single carbonate platform.\n\nThe York succession makes up part of the York terrane and consists of Ordovician, lesser Silurian, and limited, possibly Devonian rocks. Shallow-water facies predominate, but subordinate graptolitic shale and calcareous turbidites accumulated in deeper water, intraplatform basin environments, chiefly during the Middle Ordovician. Lower Ordovician strata are mainly lime mudstone and peloid-intraclast grainstone deposited in a deepening upward regime; noncarbonate detritus is abundant in lower parts of the section. Upper Ordovician and Silurian rocks include carbonate mudstone, skeletal wackestone, and coral-stromatoporoid biostromes that are commonly dolomitic and accumulated in warm, shallow to very shallow settings with locally restricted circulation.\n\nThe rest of the York terrane is mainly Ordovician and older, variously deformed and metamorphosed carbonate and siliciclastic rocks intruded by early Cambrian (and younger?) metagabbros. Older (Neoproterozoic–Cambrian) parts of these units are chiefly turbidites and may have been basement for the carbonate platform facies of the York succession; younger, shallow- and deep-water strata likely represent previously unrecognized parts of the York succession and its offshore equivalents. Intensely deformed and altered Mississippian carbonate strata crop out in a small area at the western edge of the terrane.\n\nMetacarbonate rocks form all or part of several units within the blueschist- and greenschist-facies Nome Complex. The Layered sequence includes mafic meta¬igneous rocks and associated calcareous metaturbidites of Ordovician age as well as shallow-water Silurian dolostones. Scattered metacarbonate rocks are chiefly Cambrian, Ordovician, Silurian, and Devonian dolostones that formed in shallow, warm-water settings with locally restricted circulation and marbles of less constrained Paleozoic age. Carbonate metaturbidites occur on the northeast and southeast coasts and yield mainly Silurian and lesser Ordovician and Devonian conodonts; the northern succession also includes debris flows with meter-scale clasts and an argillite interval with Late Ordovician graptolites and lenses of radiolarian chert. Mafic igneous rocks at least partly of Early Devonian age are common in the southern succession.\n\nCarbonate rocks on Seward Peninsula experienced a range of deformational and thermal histories equivalent to those documented in the Brooks Range. Conodont color alteration indices (CAIs) from Seward Peninsula, like those from the Brooks Range, define distinct thermal provinces that likely reflect structural burial. Penetratively deformed high-pressure metamorphic rocks of the Nome Complex (CAIs ≥5) correspond to rocks of the Schist belt in the southern Brooks Range; both record subduction during early stages of the Jurassic–Cretaceous Brooks Range orogeny. Weakly metamorphosed to unmetamorphosed strata of the York terrane (CAIs mainly 2–5), like Brooks Range rocks in the Central belt and structural allochthons to the north, experienced moderate to shallow burial during the main phase of the Brooks Range orogeny. The nature of the contact between the York terrane and the Nome Complex is uncertain; it may be a thrust fault, an extensional surface, or a thrust fault later reactivated as an extensional fault.\n\nLithofacies and biofacies data indicate that, in spite of their divergent Mesozoic histories, rocks of the York terrane and protoliths of the Nome Complex formed as part of the same lower Paleozoic carbonate platform. Stratigraphies in both","language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.2506(03)","usgsCitation":"Dumoulin, J.A., Harris, A., and Repetski, J.E., 2014, Carbonate rocks of the Seward Peninsula, Alaska: Their correlation and paleogeographic significance: GSA Special Papers, v. 506, p. 59-110, https://doi.org/10.1130/2014.2506(03).","productDescription":"52 p.","startPage":"59","endPage":"110","ipdsId":"IP-046076","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":343246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"506","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59576338e4b0d1f9f051b544","contributors":{"authors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":703118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Alta aharris@usgs.gov","contributorId":148394,"corporation":false,"usgs":true,"family":"Harris","given":"Alta","email":"aharris@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":703120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":703119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189372,"text":"70189372 - 2014 - Equations for calculating hydrogeochemical reactions of minerals and gases such as CO2 at high pressures and temperatures","interactions":[],"lastModifiedDate":"2017-07-12T09:20:32","indexId":"70189372","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Equations for calculating hydrogeochemical reactions of minerals and gases such as CO<sub>2</sub> at high pressures and temperatures","title":"Equations for calculating hydrogeochemical reactions of minerals and gases such as CO2 at high pressures and temperatures","docAbstract":"<p id=\"sp0005\">Calculating the solubility of gases and minerals at the high pressures of carbon capture and storage in geological reservoirs requires an accurate description of the molar volumes of aqueous species and the fugacity coefficients of gases. Existing methods for calculating the molar volumes of aqueous species are limited to a specific concentration matrix (often seawater), have been fit for a limited temperature (below 60&nbsp;°C) or pressure range, apply only at infinite dilution, or are defined for salts instead of individual ions. A more general and reliable calculation of apparent molar volumes of single ions is presented, based on a modified Redlich–Rosenfeld equation. The modifications consist of (1) using the Born equation to calculate the temperature dependence of the intrinsic volumes, following Helgeson–Kirkham–Flowers (HKF), but with Bradley and Pitzer’s expression for the dielectric permittivity of water, (2) using the pressure dependence of the extended Debye–Hückel equation to constrain the limiting slope of the molar volume with ionic strength, and (3) adopting the convention that the proton has zero volume at all ionic strengths, temperatures and pressures. The modifications substantially reduce the number of fitting parameters, while maintaining or even extending the range of temperature and pressure over which molar volumes can be accurately estimated. The coefficients in the HKF-modified-Redlich–Rosenfeld equation were fitted by least-squares on measured solution densities.</p><p id=\"sp0010\">The limiting volume and attraction factor in the Van der Waals equation of state can be estimated with the Peng–Robinson approach from the critical temperature, pressure, and acentric factor of a gas. The Van der Waals equation can then be used to determine the fugacity coefficients for pure gases and gases in a mixture, and the solubility of the gas can be calculated from the fugacity, the molar volume in aqueous solution, and the equilibrium constant. The coefficients for the Peng–Robinson equations are readily available in the literature.</p><p id=\"sp0015\">The required equations have been implemented in PHREEQC, version 3, and the parameters for calculating the partial molar volumes and fugacity coefficients have been added to the databases that are distributed with PHREEQC. The ease of use and power of the formulation are illustrated by calculating the solubility of CO<sub>2</sub><span>&nbsp;</span>at high pressures and temperatures, and comparing with well-known examples from the geochemical literature. The equations and parameterizations are suitable for wide application in hydrogeochemical systems, especially in the field of carbon capture and storage.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2013.10.003","usgsCitation":"Appelo, C., Parkhurst, D.L., and Post, V., 2014, Equations for calculating hydrogeochemical reactions of minerals and gases such as CO2 at high pressures and temperatures: Geochimica et Cosmochimica Acta, v. 125, p. 49-67, https://doi.org/10.1016/j.gca.2013.10.003.","productDescription":"19 p.","startPage":"49","endPage":"67","ipdsId":"IP-041823","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59673544e4b0d1f9f05dd7e1","contributors":{"authors":[{"text":"Appelo, C.A.J.","contributorId":106539,"corporation":false,"usgs":true,"family":"Appelo","given":"C.A.J.","email":"","affiliations":[],"preferred":false,"id":704412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post, V.E.A.","contributorId":56078,"corporation":false,"usgs":true,"family":"Post","given":"V.E.A.","email":"","affiliations":[],"preferred":false,"id":704445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189202,"text":"70189202 - 2014 - Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models","interactions":[],"lastModifiedDate":"2017-07-05T16:57:14","indexId":"70189202","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models","docAbstract":"<p><span>This paper presents a hybrid local-global sensitivity analysis method termed the Distributed Evaluation of Local Sensitivity Analysis (DELSA), which is used here to identify important and unimportant parameters and evaluate how model parameter importance changes as parameter values change. DELSA uses derivative-based “local” methods to obtain the distribution of parameter sensitivity across the parameter space, which promotes consideration of sensitivity analysis results in the context of simulated dynamics. This work presents DELSA, discusses how it relates to existing methods, and uses two hydrologic test cases to compare its performance with the popular global, variance-based Sobol' method. The first test case is a simple nonlinear reservoir model with two parameters. The second test case involves five alternative “bucket-style” hydrologic models with up to 14 parameters applied to a medium-sized catchment (200 km</span><sup>2</sup><span>) in the Belgian Ardennes. Results show that in both examples, Sobol' and DELSA identify similar important and unimportant parameters, with DELSA enabling more detailed insight at much lower computational cost. For example, in the real-world problem the time delay in runoff is the most important parameter in all models, but DELSA shows that for about 20% of parameter sets it is not important at all and alternative mechanisms and parameters dominate. Moreover, the time delay was identified as important in regions producing poor model fits, whereas other parameters were identified as more important in regions of the parameter space producing better model fits. The ability to understand how parameter importance varies through parameter space is critical to inform decisions about, for example, additional data collection and model development. The ability to perform such analyses with modest computational requirements provides exciting opportunities to evaluate complicated models as well as many alternative models.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2013WR014063","usgsCitation":"Rakovec, O., Hill, M.C., Clark, M., Weerts, A.H., Teuling, A.J., and Uijlenhoet, R., 2014, Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models: Water Resources Research, v. 50, no. 1, p. 409-426, https://doi.org/10.1002/2013WR014063.","productDescription":"18 p.","startPage":"409","endPage":"426","ipdsId":"IP-053395","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":487085,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1808/19328","text":"External Repository"},{"id":343373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-17","publicationStatus":"PW","scienceBaseUri":"595dfab7e4b0d1f9f056a7aa","contributors":{"authors":[{"text":"Rakovec, O.","contributorId":194218,"corporation":false,"usgs":false,"family":"Rakovec","given":"O.","email":"","affiliations":[],"preferred":false,"id":703468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, M.P.","contributorId":194219,"corporation":false,"usgs":false,"family":"Clark","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":703469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weerts, A. H.","contributorId":194220,"corporation":false,"usgs":false,"family":"Weerts","given":"A.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":703470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teuling, A. J.","contributorId":138517,"corporation":false,"usgs":false,"family":"Teuling","given":"A.","email":"","middleInitial":"J.","affiliations":[{"id":6920,"text":"Wageningen University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":703471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Uijlenhoet, R.","contributorId":138518,"corporation":false,"usgs":false,"family":"Uijlenhoet","given":"R.","email":"","affiliations":[{"id":6920,"text":"Wageningen University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":703472,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}