{"pageNumber":"1171","pageRowStart":"29250","pageSize":"25","recordCount":184937,"records":[{"id":70169913,"text":"70169913 - 2016 - Advanced hierarchical distance sampling","interactions":[],"lastModifiedDate":"2016-04-24T11:19:43","indexId":"70169913","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Advanced hierarchical distance sampling","docAbstract":"<p>In this chapter, we cover a number of important extensions of the basic hierarchical distance-sampling (HDS) framework from Chapter 8. First, we discuss the inclusion of &ldquo;individual covariates,&rdquo; such as group size, in the HDS model. This is important in many surveys where animals form natural groups that are the primary observation unit, with the size of the group expected to have some influence on detectability. We also discuss HDS integrated with time-removal and double-observer or capture-recapture sampling. These &ldquo;combined protocols&rdquo; can be formulated as HDS models with individual covariates, and thus they have a commonality with HDS models involving group structure (group size being just another individual covariate). We cover several varieties of open-population HDS models that accommodate population dynamics. On one end of the spectrum, we cover models that allow replicate distance sampling surveys within a year, which estimate abundance relative to availability and temporary emigration through time. We consider a robust design version of that model. We then consider models with explicit dynamics based on the Dail and Madsen (2011) model and the work of Sollmann et al. (2015). The final major theme of this chapter is relatively newly developed spatial distance sampling models that accommodate explicit models describing the spatial distribution of individuals known as Point Process models. We provide novel formulations of spatial DS and HDS models in this chapter, including implementations of those models in the unmarked package using a hack of the pcount function for N-mixture models.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-801378-6.00009-6","collaboration":"Marc Kery, Swiss Ornithological Institute.","usgsCitation":"Royle, A., 2016, Advanced hierarchical distance sampling, p. 463-550, https://doi.org/10.1016/B978-0-12-801378-6.00009-6.","productDescription":"88 p.","startPage":"463","endPage":"550","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067331","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":320461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319598,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/B9780128013786000096"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571dee2ae4b071321fe563ed","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":625579,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169877,"text":"70169877 - 2016 - Managed island ecosystems","interactions":[],"lastModifiedDate":"2016-08-03T16:39:46","indexId":"70169877","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Managed island ecosystems","docAbstract":"<p>This long-anticipated reference and sourcebook for California&rsquo;s remarkable ecological abundance provides an integrated assessment of each major ecosystem type&mdash;its distribution, structure, function, and management. A comprehensive synthesis of our knowledge about this biologically diverse state, Ecosystems of California covers the state from oceans to mountaintops using multiple lenses: past and present, flora and fauna, aquatic and terrestrial, natural and managed. Each chapter evaluates natural processes for a specific ecosystem, describes drivers of change, and discusses how that ecosystem may be altered in the future. This book also explores the drivers of California&rsquo;s ecological patterns and the history of the state&rsquo;s various ecosystems, outlining how the challenges of climate change and invasive species and opportunities for regulation and stewardship could potentially affect the state&rsquo;s ecosystems. The text explicitly incorporates both human impacts and conservation and restoration efforts and shows how ecosystems support human well-being. Edited by two esteemed ecosystem ecologists and with overviews by leading experts on each ecosystem, this definitive work will be indispensable for natural resource management and conservation professionals as well as for undergraduate or graduate students of California&rsquo;s environment and curious naturalists.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystems of California","language":"English","publisher":"University of California Press","collaboration":"NPS","usgsCitation":"McEachern, K., Atwater, T., Collins, P.W., Faulkner, K.R., and Richards, D.V., 2016, Managed island ecosystems, chap. <i>of</i> Ecosystems of California, p. 755-778.","productDescription":"23 p.","startPage":"755","endPage":"778","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052604","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":326087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319562,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520278806"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315c7e4b006cb45558af0","contributors":{"authors":[{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":625426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwater, Tanya","contributorId":168311,"corporation":false,"usgs":false,"family":"Atwater","given":"Tanya","email":"","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":625427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Paul W.","contributorId":100793,"corporation":false,"usgs":false,"family":"Collins","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":7014,"text":"Department of Vertebrate Zoology, Santa Barbara Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":625428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faulkner, Kate R.","contributorId":127478,"corporation":false,"usgs":false,"family":"Faulkner","given":"Kate","email":"","middleInitial":"R.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":625429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, Daniel V.","contributorId":168312,"corporation":false,"usgs":false,"family":"Richards","given":"Daniel","email":"","middleInitial":"V.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":625430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190182,"text":"70190182 - 2016 - Consistent and efficient processing of ADCP streamflow measurements","interactions":[],"lastModifiedDate":"2022-09-15T16:14:59.415624","indexId":"70190182","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Consistent and efficient processing of ADCP streamflow measurements","docAbstract":"<p>The use of Acoustic Doppler Current Profilers (ADCPs) from a moving boat is a commonly used method for measuring streamflow. Currently, the algorithms used to compute the average depth, compute edge discharge, identify invalid data, and estimate velocity and discharge for invalid data vary among manufacturers. These differences could result in different discharges being computed from identical data. Consistent computational algorithm, automated filtering, and quality assessment of ADCP streamflow measurements that are independent of the ADCP manufacturer are being developed in a software program that can process ADCP moving-boat discharge measurements independent of the ADCP used to collect the data.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"River Flow 2016: Proceedings of the international conference on fluvial hydraulics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"River Flow 2016: The international conference on fluvial hydraulics","conferenceDate":"July 11-14, 2016","conferenceLocation":"St. Louis, MO","language":"English","publisher":"Taylor & Francis Group","publisherLocation":"Boca Raton, FL","isbn":"978-1-138-02913-2","usgsCitation":"Mueller, D.S., 2016, Consistent and efficient processing of ADCP streamflow measurements, <i>in</i> River Flow 2016: Proceedings of the international conference on fluvial hydraulics, St. Louis, MO, July 11-14, 2016, p. 655-663.","productDescription":"9 p.","startPage":"655","endPage":"663","ipdsId":"IP-071056","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":344917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5996ab4de4b0b589267b3fca","contributors":{"editors":[{"text":"Constantinescu, George","contributorId":174167,"corporation":false,"usgs":false,"family":"Constantinescu","given":"George","email":"","affiliations":[{"id":7241,"text":"IIHR-Hydroscience and Engineering, Department of Civil and Environmental Engineering, The University of Iowa","active":true,"usgs":false}],"preferred":false,"id":707900,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":707901,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hanes, Dan","contributorId":174168,"corporation":false,"usgs":false,"family":"Hanes","given":"Dan","email":"","affiliations":[{"id":12995,"text":"Department of Earth and Atmospheric Sciences, Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":707902,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Mueller, David S. dmueller@usgs.gov","contributorId":1499,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"dmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":707850,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194448,"text":"70194448 - 2016 - LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models","interactions":[],"lastModifiedDate":"2018-01-24T16:05:13","indexId":"70194448","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models","docAbstract":"<p><span>Metabolism is a fundamental process in ecosystems that crosses multiple scales of organization from individual organisms to whole ecosystems. To improve sharing and reuse of published metabolism models, we developed LakeMetabolizer, an R package for estimating lake metabolism from&nbsp;</span><i>in situ<span>&nbsp;</span></i><span>time series of dissolved oxygen, water temperature, and, optionally, additional environmental variables. LakeMetabolizer implements 5 different metabolism models with diverse statistical underpinnings: bookkeeping, ordinary least squares, maximum likelihood, Kalman filter, and Bayesian. Each of these 5 metabolism models can be combined with 1 of 7 models for computing the coefficient of gas exchange across the air–water interface (</span><i>k</i><span>). LakeMetabolizer also features a variety of supporting functions that compute conversions and implement calculations commonly applied to raw data prior to estimating metabolism (e.g., oxygen saturation and optical conversion models). These tools have been organized into an R package that contains example data, example use-cases, and function documentation. The release package version is available on the Comprehensive R Archive Network (CRAN), and the full open-source GPL-licensed code is freely available for examination and extension online. With this unified, open-source, and freely available package, we hope to improve access and facilitate the application of metabolism in studies and management of lentic ecosystems.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/IW-6.4.883","usgsCitation":"Winslow, L., Zwart, J., Batt, R., Dugan, H., Woolway, R., Corman, J., Hanson, P.C., and Read, J.S., 2016, LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models: Inland Waters, v. 6, no. 4, p. 622-636, https://doi.org/10.1080/IW-6.4.883.","productDescription":"15 p.","startPage":"622","endPage":"636","ipdsId":"IP-065534","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":349534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5a60fd87e4b06e28e9c24fa5","contributors":{"authors":[{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":723877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zwart, Jacob A.","contributorId":173345,"corporation":false,"usgs":false,"family":"Zwart","given":"Jacob A.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":723878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batt, Ryan D.","contributorId":168948,"corporation":false,"usgs":false,"family":"Batt","given":"Ryan D.","affiliations":[{"id":25393,"text":"Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA 08901","active":true,"usgs":false}],"preferred":false,"id":723879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugan, Hilary A.","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","middleInitial":"A.","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":723880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woolway, R. Iestyn","contributorId":150345,"corporation":false,"usgs":false,"family":"Woolway","given":"R. Iestyn","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":723881,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corman, Jessica","contributorId":194469,"corporation":false,"usgs":false,"family":"Corman","given":"Jessica","affiliations":[],"preferred":false,"id":723882,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":723883,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":723884,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70169275,"text":"70169275 - 2016 - Testing an attachment method for solar-powered tracking devices on a long-distance migrating shorebird","interactions":[],"lastModifiedDate":"2018-08-21T12:56:14","indexId":"70169275","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Testing an attachment method for solar-powered tracking devices on a long-distance migrating shorebird","docAbstract":"<p>Small solar-powered satellite transmitters and GPS data loggers enable continuous, multi-year, and global tracking of birds. What is lacking, however, are reliable methods to attach these tracking devices to small migratory birds so that (1) flight performance is not impacted and (2) tags are retained during periods of substantial mass change associated with long-distance migration. We developed a full-body harness to attach tags to Red Knots (Calidris canutus), a medium-sized shorebird (average mass 124 g) that undertakes long-distance migrations. First, we deployed dummy tags on captive birds and monitored them over a complete migratory fattening cycle (February&ndash;July 2013) during which time they gained and lost 31&ndash;110 g and underwent a pre-alternate moult of body feathers. Using each individual&rsquo;s previous year fattening and moult data in captivity as controls, we compared individual mass and moult differences between years between the tagged and reference groups, and concluded that the attachment did not impact mass and moult cycles. However, some birds shed feathers under the tags and under the polyester harness line commonly used in avian harnesses. Feather shedding was alleviated by switching to smoothed-bottom tags and monofilament harness lines. To field-trial this design, we deployed 5-g satellite transmitters on ten Red Knots released on 3 October 2013 in the Dutch Wadden Sea. Bird movements and tag performance appeared normal. However, nine tags stopped transmitting 11&ndash;170 days post-release which was earlier than expected. We attribute this to bird mortality rather than failure of the attachments or transmitters and suggest that the extra weight and drag caused by the tag and its feather-blocking shield increased the chance of depredation by the locally common Peregrine Falcons (Falco peregrinus). Our results demonstrate that species- and place-specific contexts can strongly determine tagging success. While captive trials are an important first step in developing an attachment method, field trials are essential to fully assess attachment designs.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10336-015-1276-4","usgsCitation":"Chan, Y., Brugge, M., Tibbitts, T.L., Dekinga, A., Porter, R., Klaassen, R.H., and Piersma, T., 2016, Testing an attachment method for solar-powered tracking devices on a long-distance migrating shorebird: Journal of Ornithology, v. 157, no. 1, p. 277-287, https://doi.org/10.1007/s10336-015-1276-4.","productDescription":"11 p.","startPage":"277","endPage":"287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059681","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471376,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s10336-015-1276-4","text":"External Repository"},{"id":319339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Denmark","otherGeospatial":"Wadden Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              4.21875,\n              52.93539665862318\n            ],\n            [\n              4.21875,\n              56.108810038002154\n            ],\n            [\n              9.38232421875,\n              56.108810038002154\n            ],\n            [\n              9.38232421875,\n              52.93539665862318\n            ],\n            [\n              4.21875,\n              52.93539665862318\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"157","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-28","publicationStatus":"PW","scienceBaseUri":"56f50fd3e4b0f59b85e1ebd1","contributors":{"authors":[{"text":"Chan, Ying-Chi","contributorId":167762,"corporation":false,"usgs":false,"family":"Chan","given":"Ying-Chi","email":"","affiliations":[{"id":24822,"text":"Department of Marine Ecology, NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":623429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brugge, Martin","contributorId":167763,"corporation":false,"usgs":false,"family":"Brugge","given":"Martin","email":"","affiliations":[{"id":24822,"text":"Department of Marine Ecology, NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":623430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":623428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dekinga, Anne","contributorId":52000,"corporation":false,"usgs":true,"family":"Dekinga","given":"Anne","affiliations":[],"preferred":false,"id":623431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Ron","contributorId":93993,"corporation":false,"usgs":true,"family":"Porter","given":"Ron","email":"","affiliations":[],"preferred":false,"id":623432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klaassen, Raymond H. G.","contributorId":167764,"corporation":false,"usgs":false,"family":"Klaassen","given":"Raymond","email":"","middleInitial":"H. G.","affiliations":[{"id":24823,"text":"Animal Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen","active":true,"usgs":false}],"preferred":false,"id":623433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Piersma, Theunis","contributorId":45863,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":623434,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70175412,"text":"70175412 - 2016 - Coral calcification and ocean acidification","interactions":[],"lastModifiedDate":"2016-08-31T11:08:38","indexId":"70175412","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coral calcification and ocean acidification","docAbstract":"<p>Over 60 years ago, the discovery that light increased calcification in the coral plant-animal symbiosis triggered interest in explaining the phenomenon and understanding the mechanisms involved. Major findings along the way include the observation that carbon fixed by photosynthesis in the zooxanthellae is translocated to animal cells throughout the colony and that corals can therefore live as autotrophs in many situations. Recent research has focused on explaining the observed reduction in calcification rate with increasing ocean acidification (OA). Experiments have shown a direct correlation between declining ocean pH, declining aragonite saturation state (&Omega;arag), declining [CO32_] and coral calcification. Nearly all previous reports on OA identify &Omega;arag or its surrogate [CO32] as the factor driving coral calcification. However, the alternate &ldquo;Proton Flux Hypothesis&rdquo; stated that coral calcification is controlled by diffusion limitation of net H+ transport through the boundary layer in relation to availability of dissolved inorganic carbon (DIC). The &ldquo;Two Compartment Proton Flux Model&rdquo; expanded this explanation and synthesized diverse observations into a universal model that explains many paradoxes of coral metabolism, morphology and plasticity of growth form in addition to observed coral skeletal growth response to OA. It is now clear that irradiance is the main driver of net photosynthesis (Pnet), which in turn drives net calcification (Gnet), and alters pH in the bulk water surrounding the coral. Pnet controls [CO32] and thus &Omega;arag of the bulk water over the diel cycle. Changes in &Omega;arag and pH lag behind Gnet throughout the daily cycle by two or more hours. The flux rate Pnet, rather than concentration-based parameters (e.g., &Omega;arag, [CO3 2], pH and [DIC]:[H+] ratio) is the primary driver of Gnet. Daytime coral metabolism rapidly removes DIC from the bulk seawater. Photosynthesis increases the bulk seawater pH while providing the energy that drives calcification and increases in Gnet. These relationships result in a correlation between Gnet and &Omega;arag, with both parameters being variables dependent on Pnet. Consequently the correlation between Gnet and &Omega;arag varies widely between different locations and times depending on the relative metabolic contributions of various calcifying and photosynthesizing organisms and local rates of carbonate dissolution. High rates of H+ efflux continue for several hours following the mid-day Gnet peak suggesting that corals have difficulty in shedding waste protons as described by the Proton Flux Model. DIC flux (uptake) tracks Pnet and Gnet and drops off rapidly after the photosynthesis-calcification maxima, indicating that corals can cope more effectively with the problem of limited DIC supply compared to the problem of eliminating H+. Predictive models of future global changes in coral and coral reef growth based on oceanic &Omega;arag must include the influence of future changes in localized Pnet on Gnet as well as changes in rates of reef carbonate dissolution. The correlation between &Omega;arag and Gnet over the diel cycle is simply the result of increasing pH due to photosynthesis that shifts the CO2-carbonate system equilibria to increase [CO32] relative to the other DIC components of [HCO3] and [CO2]. Therefore &Omega;arag closely tracks pH as an effect of Pnet, which also drives changes in Gnet. Measurements of DIC flux and H+ flux are far more useful than concentrations in describing coral metabolism dynamics. Coral reefs are systems that exist in constant disequilibrium with the water column.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coral reefs at the crossroads","language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-94-017-7567-0","collaboration":"Paul L. Jokiel and Christopher P. Jury, Hawaii Institute of Marine Biology, University of Hawaii","usgsCitation":"Jokiel, P.L., Jury, C.P., and Kuffner, I.B., 2016, Coral calcification and ocean acidification, chap. <i>of</i> Coral reefs at the crossroads, v. 6, p. 7-45, https://doi.org/10.1007/978-94-017-7567-0.","productDescription":"29 p.","startPage":"7","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049232","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":328107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb0e4b0f2f0cebfc229","contributors":{"authors":[{"text":"Jokiel, Paul L.","contributorId":131043,"corporation":false,"usgs":false,"family":"Jokiel","given":"Paul","email":"","middleInitial":"L.","affiliations":[{"id":7212,"text":"University of Hawai‘i, Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":645113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jury, Christopher P.","contributorId":173575,"corporation":false,"usgs":false,"family":"Jury","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":20314,"text":"Hawaii Institute of Marine Biology, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":645114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":645112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70164507,"text":"70164507 - 2016 - Montane Forests","interactions":[],"lastModifiedDate":"2016-06-28T15:58:52","indexId":"70164507","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Montane Forests","docAbstract":"<p>This long-anticipated reference and sourcebook for California&rsquo;s remarkable ecological abundance provides an integrated assessment of each major ecosystem type&mdash;its distribution, structure, function, and management. A comprehensive synthesis of our knowledge about this biologically diverse state, Ecosystems of California covers the state from oceans to mountaintops using multiple lenses: past and present, flora and fauna, aquatic and terrestrial, natural and managed. Each chapter evaluates natural processes for a specific ecosystem, describes drivers of change, and discusses how that ecosystem may be altered in the future. This book also explores the drivers of California&rsquo;s ecological patterns and the history of the state&rsquo;s various ecosystems, outlining how the challenges of climate change and invasive species and opportunities for regulation and stewardship could potentially affect the state&rsquo;s ecosystems. The text explicitly incorporates both human impacts and conservation and restoration efforts and shows how ecosystems support human well-being. Edited by two esteemed ecosystem ecologists and with overviews by leading experts on each ecosystem, this definitive work will be indispensable for natural resource management and conservation professionals as well as for undergraduate or graduate students of California&rsquo;s environment and curious naturalists.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystems of California","language":"English","publisher":"University of California Press","collaboration":"U.S. Forest Service","usgsCitation":"North, M.P., Collins, B.M., Safford, H.D., and Stephenson, N.L., 2016, Montane Forests, chap. <i>of</i> Ecosystems of California, p. 553-577.","productDescription":"25 p.","startPage":"553","endPage":"577","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054299","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":324556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":316714,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520278806"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb3e4b07657d1a90cf5","contributors":{"authors":[{"text":"North, Malcolm P.","contributorId":9975,"corporation":false,"usgs":true,"family":"North","given":"Malcolm","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":597650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Brandon M.","contributorId":127850,"corporation":false,"usgs":false,"family":"Collins","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":7169,"text":"USDA Forest Service, UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":597651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Safford, Hugh D.","contributorId":112922,"corporation":false,"usgs":true,"family":"Safford","given":"Hugh","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":597652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":597649,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173925,"text":"70173925 - 2016 - Cascade Mountain Range in Oregon","interactions":[],"lastModifiedDate":"2016-06-21T11:19:40","indexId":"70173925","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Cascade Mountain Range in Oregon","docAbstract":"<p>The Cascade mountain system extends from northern California to central British Columbia. In Oregon, it comprises the Cascade Range, which is 260 miles long and, at greatest breadth, 90 miles wide&nbsp;<a href=\"http://oregonencyclopedia.org/media/uploads/Table_1.pdf\" target=\"_blank\">(fig. 1</a>). Oregon&rsquo;s Cascade Range covers roughly 17,000 square miles, or about 17 percent of the state, an area larger than each of the smallest nine of the fifty United States. The range is bounded on the east by U.S. Highways 97 and 197. On the west it reaches nearly to Interstate 5<i>,</i>&nbsp;forming the eastern margin of the Willamette Valley and, farther south, abutting the Coast Ranges.&nbsp;</p>\n<p><span>Along its Oregon segment, the Cascade Range is almost entirely volcanic in origin. The volcanoes and their eroded remnants are the visible magmatic expression of the Cascadia subduction zone, where the offshore Juan de Fuca tectonic plate is subducted beneath North America.&nbsp;Subduction occurs as two lithospheric plates collide, and an underthrusted oceanic plate is commonly dragged into the mantle by the pull of gravity, carrying&nbsp;ocean-bottom rock and sediment down to where heat and pressure expel water. As this water rises, it lowers the melting temperature in the overlying hot mantle rocks, thereby promoting melting. The molten rock supplies the volcanic arcs with heat and magma.&nbsp;Cascade Range volcanoes are part of the Ring of Fire, a popular term for the numerous volcanic arcs that encircle the Pacific Ocean.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Oregon Encyclopedia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oregon Historical Society","publisherLocation":"Portland, OR","usgsCitation":"Sherrod, D.R., 2016, Cascade Mountain Range in Oregon, chap. <i>of</i> The Oregon Encyclopedia, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070440","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":324093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324092,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://oregonencyclopedia.org/articles/cascade_mountain_range/#.V2lopvkrJhF"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.4423828125,\n              41.97582726102573\n            ],\n            [\n              -123.4423828125,\n              45.69083283645816\n            ],\n            [\n              -121.03637695312499,\n              45.69083283645816\n            ],\n            [\n              -121.03637695312499,\n              41.97582726102573\n            ],\n            [\n              -123.4423828125,\n              41.97582726102573\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a6532e4b07657d1a11d19","contributors":{"authors":[{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":639374,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70162411,"text":"70162411 - 2016 - Stratigraphic architecture of a fluvial-lacustrine basin-fill succession at Desolation Canyon, Uinta Basin, Utah: Reference to Walthers’ Law and implications for the petroleum industry","interactions":[],"lastModifiedDate":"2016-06-28T16:26:00","indexId":"70162411","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphic architecture of a fluvial-lacustrine basin-fill succession at Desolation Canyon, Uinta Basin, Utah: Reference to Walthers’ Law and implications for the petroleum industry","docAbstract":"<p class=\"indent\">A continuous window into the fluvial-lacustrine basin-fill succession of the Uinta Basin is exposed along a 48-mile (77-kilometer) transect up the modern Green River from Three Fords to Sand Wash in Desolation Canyon, Utah. In ascending order the stratigraphic units are: 1) Flagstaff Limestone, 2) lower Wasatch member of the Wasatch Formation, 3) middle Wasatch member of the Wasatch Formation, 4) upper Wasatch member of the Wasatch Formation, 5) Uteland Butte member of the lower Green River Formation, 6) lower Green River Formation, 7) Renegade Tongue of the lower Green River Formation, 8) middle Green River Formation, and 9) the Mahogany oil shale zone marking the boundary between the middle and upper Green River Formations. This article uses regional field mapping, geologic maps, photographs, and descriptions of the stratigraphic unit including: 1) bounding surfaces, 2) key upward stratigraphic characteristics within the unit, and 3) longitudinal changes along the river transect. This information is used to create a north-south cross section through the basin-fill succession and a detailed geologic map of Desolation Canyon. The cross section documents stratigraphic relationships previously unreported and contrasts with earlier interpretations in two ways: 1) abrupt upward shifts in the stratigraphy documented herein, contrast with the gradual interfingering relationships proposed by&nbsp;<a class=\"bibr\" href=\"http://archives.datapages.com/data/mountain-geologist-rmag/data/053/053001/5_rmag-mg530005.htm#rmag-mg530005-bib22\">Ryder et al., (1976)</a>&nbsp;and&nbsp;<a class=\"bibr\" href=\"http://archives.datapages.com/data/mountain-geologist-rmag/data/053/053001/5_rmag-mg530005.htm#rmag-mg530005-bib11\">Fouch et al., (1994)</a>, 2) we document fluvial deposits of the lower and middle Wasatch to be distinct and more widespread than previously recognized. In addition, we document that the Uteland Butte member of the lower Green River Formation was deposited in a lacustrine environment in Desolation Canyon.</p>\n<p class=\"indent\">Two large-scale (member-scale) upward patterns are noted: Waltherian, and non-Waltherian. The upward successions in Waltherian progressions record progradation or retrogradation of a linked fluvial-lacustrine system across the area; whereas the upward successions in non-Waltherian progressions record large-scale changes in the depositional system that are not related to progradation or retrogradation of the ancient lacustrine shoreline. Four Waltherian progressions are noted: 1) the Flagstaff Limestone to lower Wasatch Formation member records the upward transition from lacustrine to fluvial&mdash;or shallowing-upward succession; 2) the upper Wasatch to Uteland Butte records the upward transition from fluvial to lacustrine&mdash;or a deepening upward succession; 3) the Uteland Butte to Renegade Tongue records the upward transition from lacustrine to fluvial&mdash;a shallowing-upward succession; and 4) the Renegade Tongue to Mahogany oil shale interval records the upward transition from fluvial to lacustrine&mdash;a deepening upward succession. The two non-Waltherian progressions in the study area are: 1) the lower to middle Wasatch, which records the abrupt shift from low to high net-sand content fluvial system, and 2) the middle to upper Wasatch, which records the abrupt shift from high to intermediate net-sand content fluvial system.</p>","language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Ford, G.L., Pyles, D.R., and Dechesne, M., 2016, Stratigraphic architecture of a fluvial-lacustrine basin-fill succession at Desolation Canyon, Uinta Basin, Utah: Reference to Walthers’ Law and implications for the petroleum industry: Mountain Geologist, v. 53, no. 1, p. 5-28.","productDescription":"24 p.","startPage":"5","endPage":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069472","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":324569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324568,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/mountain-geologist-rmag/data/053/053001/5_rmag-mg530005.htm"}],"country":"United States","state":"Utah","otherGeospatial":"Desolation Canyon, Uinta Basin","volume":"53","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb7e4b07657d1a90d72","contributors":{"authors":[{"text":"Ford, Grace L.","contributorId":152480,"corporation":false,"usgs":false,"family":"Ford","given":"Grace","email":"","middleInitial":"L.","affiliations":[{"id":18934,"text":"Colorado School of Mines / Sundance Energy","active":true,"usgs":false}],"preferred":false,"id":589475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pyles, David R.","contributorId":152481,"corporation":false,"usgs":false,"family":"Pyles","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":18935,"text":"Colorado School of Mines / EOG Resources","active":true,"usgs":false}],"preferred":false,"id":589476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dechesne, Marieke 0000-0002-4468-7495 mdechesne@usgs.gov","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":5036,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","email":"mdechesne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":589474,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169884,"text":"70169884 - 2016 - Fire as an ecosystem process: Chapter 3","interactions":[],"lastModifiedDate":"2016-07-12T16:13:55","indexId":"70169884","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fire as an ecosystem process: Chapter 3","docAbstract":"<p>This long-anticipated reference and sourcebook for California&rsquo;s remarkable ecological abundance provides an integrated assessment of each major ecosystem type&mdash;its distribution, structure, function, and management. A comprehensive synthesis of our knowledge about this biologically diverse state, Ecosystems of California covers the state from oceans to mountaintops using multiple lenses: past and present, flora and fauna, aquatic and terrestrial, natural and managed. Each chapter evaluates natural processes for a specific ecosystem, describes drivers of change, and discusses how that ecosystem may be altered in the future. This book also explores the drivers of California&rsquo;s ecological patterns and the history of the state&rsquo;s various ecosystems, outlining how the challenges of climate change and invasive species and opportunities for regulation and stewardship could potentially affect the state&rsquo;s ecosystems. The text explicitly incorporates both human impacts and conservation and restoration efforts and shows how ecosystems support human well-being. Edited by two esteemed ecosystem ecologists and with overviews by leading experts on each ecosystem, this definitive work will be indispensable for natural resource management and conservation professionals as well as for undergraduate or graduate students of California&rsquo;s environment and curious naturalists.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystems of California","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","isbn":"9780520278806","usgsCitation":"Keeley, J.E., and Safford, H.D., 2016, Fire as an ecosystem process: Chapter 3, chap. <i>of</i> Ecosystems of California.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051438","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":325127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319563,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520278806"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dcfe4e4b0589fa1cbd874","contributors":{"editors":[{"text":"Mooney, Harold A.","contributorId":172852,"corporation":false,"usgs":false,"family":"Mooney","given":"Harold","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":642269,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Zavaleta, Erika S.","contributorId":43233,"corporation":false,"usgs":true,"family":"Zavaleta","given":"Erika","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642270,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":625451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Safford, Hugh D.","contributorId":112922,"corporation":false,"usgs":true,"family":"Safford","given":"Hugh","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":625452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189850,"text":"70189850 - 2016 - Comparative mitogenomic analyses of three North American stygobiont amphipods of the genus Stygobromus (Crustacea: Amphipoda)","interactions":[],"lastModifiedDate":"2017-07-27T11:31:08","indexId":"70189850","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5471,"text":"Mitochondrial DNA Part B","active":true,"publicationSubtype":{"id":10}},"title":"Comparative mitogenomic analyses of three North American stygobiont amphipods of the genus Stygobromus (Crustacea: Amphipoda)","docAbstract":"<p><span>The mitochondrial genomes of three North American stygobiont amphipods&nbsp;</span><i>Stygobromus tenuis potomacus</i><span>,<span>&nbsp;</span></span><i>S. foliatus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>S. indentatus</i><span><span>&nbsp;</span>collected from Caroline County, VA, were sequenced using a shotgun sequencing approach on an Illumina NextSeq500 (Illumina Inc., San Diego, CA). All three mitogenomes displayed 13 protein-coding genes, 22 tRNAs and two rRNAs typical of metazoans. While<span>&nbsp;</span></span><i>S. tenuis</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>S. indentatus</i><span>displayed identical gene orders similar to the pancrustacean ground pattern,<span>&nbsp;</span></span><i>S. foliatus</i><span><span>&nbsp;</span>displayed a transposition of the<span>&nbsp;</span></span><i>trnL2</i><span>-</span><i>cox2</i><span><span>&nbsp;</span>genes to after<span>&nbsp;</span></span><i>atp8-atp6</i><span>. In addition, a short<span>&nbsp;</span></span><i>atp8</i><span><span>&nbsp;</span>gene, longer<span>&nbsp;</span></span><i>rrnL</i><span><span>&nbsp;</span>gene and large inverted repeat within the Control Region distinguished<span>&nbsp;</span></span><i>S. foliatus</i><span><span>&nbsp;</span>from<span>&nbsp;</span></span><i>S. tenuis potomacus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>S. indentatus</i><span>. Overall, it appears that gene order varies considerably among amphipods, and the addition of these<span>&nbsp;</span></span><i>Stygobromus</i><span><span>&nbsp;</span>mitogenomes to the existing sequenced amphipod mitogenomes will prove useful for characterizing evolutionary relationships among various amphipod taxa, as well as investigations of the evolutionary dynamics of the mitogenome in general.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23802359.2016.1174086","usgsCitation":"Aunins, A.W., Nelms, D.L., Hobson, C.S., and King, T.L., 2016, Comparative mitogenomic analyses of three North American stygobiont amphipods of the genus Stygobromus (Crustacea: Amphipoda): Mitochondrial DNA Part B, v. 1, no. 1, p. 560-563, https://doi.org/10.1080/23802359.2016.1174086.","productDescription":"4 p.","startPage":"560","endPage":"563","ipdsId":"IP-076782","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":471385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/23802359.2016.1174086","text":"Publisher Index Page"},{"id":344386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-21","publicationStatus":"PW","scienceBaseUri":"597afba7e4b0a38ca2750b66","contributors":{"authors":[{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":706532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelms, David L. 0000-0001-5747-642X dlnelms@usgs.gov","orcid":"https://orcid.org/0000-0001-5747-642X","contributorId":1892,"corporation":false,"usgs":true,"family":"Nelms","given":"David","email":"dlnelms@usgs.gov","middleInitial":"L.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobson, Christopher S.","contributorId":171458,"corporation":false,"usgs":false,"family":"Hobson","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":706535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":706533,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155951,"text":"70155951 - 2016 - Evolution of viral virulence: empirical studies","interactions":[],"lastModifiedDate":"2016-01-05T14:31:51","indexId":"70155951","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evolution of viral virulence: empirical studies","docAbstract":"<p>The concept of virulence as a pathogen trait that can evolve in response to selection has led to a large body of virulence evolution theory developed in the 1980-1990s. Various aspects of this theory predict increased or decreased virulence in response to a complex array of selection pressures including mode of transmission, changes in host, mixed infection, vector-borne transmission, environmental changes, host vaccination, host resistance, and co-evolution of virus and host. A fundamental concept is prediction of trade-offs between the costs and benefits associated with higher virulence, leading to selection of optimal virulence levels. Through a combination of observational and experimental studies, including experimental evolution of viruses during serial passage, many of these predictions have now been explored in systems ranging from bacteriophage to viruses of plants, invertebrates, and vertebrate hosts. This chapter summarizes empirical studies of viral virulence evolution in numerous diverse systems, including the classic models myxomavirus in rabbits, Marek's disease virus in chickens, and HIV in humans. Collectively these studies support some aspects of virulence evolution theory, suggest modifications for other aspects, and show that predictions may apply in some virus:host interactions but not in others. Finally, we consider how virulence evolution theory applies to disease management in the field.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Evolution of Viral virulence; Empirical Studies","language":"English","publisher":"Caister Academic Press","usgsCitation":"Kurath, G., and Wargo, A.R., 2016, Evolution of viral virulence: empirical studies, chap. <i>of</i> Evolution of Viral virulence; Empirical Studies.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063809","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":313829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313828,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.horizonpress.com/virusevol"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568cf741e4b0e7a44bc0f152","contributors":{"authors":[{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":567328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wargo, Andrew R.","contributorId":47260,"corporation":false,"usgs":true,"family":"Wargo","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":567329,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187148,"text":"70187148 - 2016 - An evaluation of methods for estimating decadal stream loads","interactions":[],"lastModifiedDate":"2018-03-15T10:26:32","indexId":"70187148","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of methods for estimating decadal stream loads","docAbstract":"<p><span>Effective management of water resources requires accurate information on the mass, or load of water-quality constituents transported from upstream watersheds to downstream receiving waters. Despite this need, no single method has been shown to consistently provide accurate load estimates among different water-quality constituents, sampling sites, and sampling regimes. We evaluate the accuracy of several load estimation methods across a broad range of sampling and environmental conditions. This analysis uses random sub-samples drawn from temporally-dense data sets of total nitrogen, total phosphorus, nitrate, and suspended-sediment concentration, and includes measurements of specific conductance which was used as a surrogate for dissolved solids concentration. Methods considered include linear interpolation and ratio estimators, regression-based methods historically employed by the U.S. Geological Survey, and newer flexible techniques including Weighted Regressions on Time, Season, and Discharge (WRTDS) and a generalized non-linear additive model. No single method is identified to have the greatest accuracy across all constituents, sites, and sampling scenarios. Most methods provide accurate estimates of specific conductance (used as a surrogate for total dissolved solids or specific major ions) and total nitrogen – lower accuracy is observed for the estimation of nitrate, total phosphorus and suspended sediment loads. Methods that allow for flexibility in the relation between concentration and flow conditions, specifically Beale’s ratio estimator and WRTDS, exhibit greater estimation accuracy and lower bias. Evaluation of methods across simulated sampling scenarios indicate that (1) high-flow sampling is necessary to produce accurate load estimates, (2) extrapolation of sample data through time or across more extreme flow conditions reduces load estimate accuracy, and (3) WRTDS and methods that use a Kalman filter or smoothing to correct for departures between individual modeled and observed values benefit most from more frequent water-quality sampling.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2016.08.059","usgsCitation":"Lee, C.J., Hirsch, R.M., Schwarz, G., Holtschlag, D.J., Preston, S.D., Crawford, C.G., and Vecchia, A.V., 2016, An evaluation of methods for estimating decadal stream loads: Journal of Hydrology, v. 542, p. 185-203, https://doi.org/10.1016/j.jhydrol.2016.08.059.","productDescription":"19 p.","startPage":"185","endPage":"203","ipdsId":"IP-070870","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":471371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2016.08.059","text":"Publisher Index Page"},{"id":340405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"542","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5ddd9","contributors":{"authors":[{"text":"Lee, Casey J. 0000-0002-5753-2038 cjlee@usgs.gov","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":2627,"corporation":false,"usgs":true,"family":"Lee","given":"Casey","email":"cjlee@usgs.gov","middleInitial":"J.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":692771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":692772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":692773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holtschlag, David J. 0000-0001-5185-4928 dholtschlag@usgs.gov","orcid":"https://orcid.org/0000-0001-5185-4928","contributorId":5447,"corporation":false,"usgs":true,"family":"Holtschlag","given":"David","email":"dholtschlag@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Preston, Stephen D. 0000-0003-1515-6692 spreston@usgs.gov","orcid":"https://orcid.org/0000-0003-1515-6692","contributorId":1463,"corporation":false,"usgs":true,"family":"Preston","given":"Stephen","email":"spreston@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":692775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":692776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401 avecchia@usgs.gov","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":1173,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"avecchia@usgs.gov","middleInitial":"V.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70176424,"text":"70176424 - 2016 - The international scale of the groundwater issue","interactions":[],"lastModifiedDate":"2017-02-27T13:40:42","indexId":"70176424","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The international scale of the groundwater issue","docAbstract":"Throughout history, and throughout the world, groundwater has been a major source of water for sustaining human life. Use of this resource has increased dramatically over the last century. In many areas of the world, the balance between human and ecosystem needs is difficult to maintain. Understanding the international scale of the groundwater issue requires metrics and analysis at a commensurate scale. Advances in remote sensing supplement older traditional direct measurement methods for understanding the magnitude of depletion, and all measurements motivate the need for common data standards to collect and share information. In addition to metrics of groundwater availability, four key international groundwater issues are depletion of water, degradation of water quality, the water-energy nexus, and transboundary water conflicts. This chapter is devoted to introducing these issues, which are also discussed in more detail in later chapters.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated groundwater management","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-23576-9_2","usgsCitation":"Fienen, M., and Arshad, M., 2016, The international scale of the groundwater issue, chap. <i>of</i> Integrated groundwater management, p. 21-48, https://doi.org/10.1007/978-3-319-23576-9_2.","productDescription":"28 p. ","startPage":"21","endPage":"48","ipdsId":"IP-057780","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":488563,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_2","text":"Publisher Index Page"},{"id":336276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328594,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/chapter/10.1007%2F978-3-319-23576-9_2"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c2e4b01ccd54fddfc2","contributors":{"authors":[{"text":"Fienen, Michael 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":174604,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arshad, Muhammad","contributorId":173852,"corporation":false,"usgs":false,"family":"Arshad","given":"Muhammad","email":"","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":648712,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176570,"text":"70176570 - 2016 - A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes","interactions":[],"lastModifiedDate":"2016-09-21T16:20:15","indexId":"70176570","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes","docAbstract":"Salt marsh losses have been documented worldwide because of land use change, wave erosion, and sea-level rise. It is still unclear how resistant salt marshes are to extreme storms and whether they can survive multiple events without collapsing. Based on a large dataset of salt marsh lateral erosion rates collected around the world, here, we determine the general response of salt marsh boundaries to wave action under normal and extreme weather conditions. As wave energy increases, salt marsh response to wind waves remains linear, and there is not a critical threshold in wave energy above which salt marsh erosion drastically accelerates. We apply our general formulation for salt marsh erosion to historical wave climates at eight salt marsh locations affected by hurricanes in the United States. Based on the analysis of two decades of data, we find that violent storms and hurricanes contribute less than 1% to long-term salt marsh erosion rates. In contrast, moderate storms with a return period of 2.5 mo are those causing the most salt marsh deterioration. Therefore, salt marshes seem more susceptible to variations in mean wave energy rather than changes in the extremes. The intrinsic resistance of salt marshes to violent storms and their predictable erosion rates during moderate events should be taken into account by coastal managers in restoration projects and risk management plans.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1510095112","usgsCitation":"Leonardi, N., Ganju, N., and Fagherazzi, S., 2016, A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 1, p. 64-68, https://doi.org/10.1073/pnas.1510095112.","productDescription":"5 p.","startPage":"64","endPage":"68","ipdsId":"IP-065113","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471383,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1510095112","text":"Publisher Index Page"},{"id":328837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-22","publicationStatus":"PW","scienceBaseUri":"57f7c6e6e4b0bc0bec09cbdf","contributors":{"authors":[{"text":"Leonardi, Nicoletta","contributorId":174783,"corporation":false,"usgs":false,"family":"Leonardi","given":"Nicoletta","affiliations":[{"id":27508,"text":"Dept of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":649263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":140088,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":649264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagherazzi, Sergio","contributorId":89282,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"Sergio","affiliations":[],"preferred":false,"id":649265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176289,"text":"70176289 - 2016 - A centroid model of species distribution with applications to the Carolina wren Thryothorus ludovicianus and house finch Haemorhous mexicanus in the United States","interactions":[],"lastModifiedDate":"2018-03-28T11:11:10","indexId":"70176289","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A centroid model of species distribution with applications to the Carolina wren <i>Thryothorus ludovicianus</i> and house finch <i>Haemorhous mexicanus</i> in the United States","title":"A centroid model of species distribution with applications to the Carolina wren Thryothorus ludovicianus and house finch Haemorhous mexicanus in the United States","docAbstract":"<p><span>Drastic shifts in species distributions are a cause of concern for ecologists. Such shifts pose great threat to biodiversity especially under unprecedented anthropogenic and natural disturbances. Many studies have documented recent shifts in species distributions. However, most of these studies are limited to regional scales, and do not consider the abundance structure within species ranges. Developing methods to detect systematic changes in species distributions over their full ranges is critical for understanding the impact of changing environments and for successful conservation planning. Here, we demonstrate a centroid model for range-wide analysis of distribution shifts using the North American Breeding Bird Survey. The centroid model is based on a hierarchical Bayesian framework which models population change within physiographic strata while accounting for several factors affecting species detectability. Yearly abundance-weighted range centroids are estimated. As case studies, we derive annual centroids for the Carolina wren and house finch in their ranges in the U.S. We further evaluate the first-difference correlation between species’ centroid movement and changes in winter severity, total population abundance. We also examined associations of change in centroids from sub-ranges. Change in full-range centroid movements of Carolina wren significantly correlate with snow cover days (r = −0.58). For both species, the full-range centroid shifts also have strong correlation with total abundance (r = 0.65, and 0.51 respectively). The movements of the full-range centroids of the two species are correlated strongly (up to r = 0.76) with that of the sub-ranges with more drastic population changes. Our study demonstrates the usefulness of centroids for analyzing distribution changes in a two-dimensional spatial context. Particularly it highlights applications that associate the centroid with factors such as environmental stressors, population characteristics, and progression of invasive species. Routine monitoring of changes in centroid will provide useful insights into long-term avian responses to environmental changes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.01447","usgsCitation":"Huang, Q., Sauer, J.R., Swatantran, A., and Dubayah, R., 2016, A centroid model of species distribution with applications to the Carolina wren Thryothorus ludovicianus and house finch Haemorhous mexicanus in the United States: Ecography, v. 39, no. 1, p. 54-66, https://doi.org/10.1111/ecog.01447.","productDescription":"13 p.","startPage":"54","endPage":"66","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2015-04-25","publicationStatus":"PW","scienceBaseUri":"57d13a2ce4b0571647cf8d09","contributors":{"authors":[{"text":"Huang, Qiongyu","contributorId":174402,"corporation":false,"usgs":false,"family":"Huang","given":"Qiongyu","affiliations":[],"preferred":false,"id":648992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":138949,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swatantran, Anu","contributorId":174403,"corporation":false,"usgs":false,"family":"Swatantran","given":"Anu","email":"","affiliations":[],"preferred":false,"id":648994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubayah, Ralph","contributorId":174404,"corporation":false,"usgs":false,"family":"Dubayah","given":"Ralph","affiliations":[],"preferred":false,"id":648995,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176525,"text":"70176525 - 2016 - Non-linear responses of glaciated prairie wetlands to climate warming","interactions":[],"lastModifiedDate":"2017-05-03T13:11:51","indexId":"70176525","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Non-linear responses of glaciated prairie wetlands to climate warming","docAbstract":"<p><span>The response of ecosystems to climate warming is likely to include threshold events when small changes in key environmental drivers produce large changes in an ecosystem. Wetlands of the Prairie Pothole Region (PPR) are especially sensitive to climate variability, yet the possibility that functional changes may occur more rapidly with warming than expected has not been examined or modeled. The productivity and biodiversity of these wetlands are strongly controlled by the speed and completeness of a vegetation cover cycle driven by the wet and dry extremes of climate. Two thresholds involving duration and depth of standing water must be exceeded every few decades or so to complete the cycle and to produce highly functional wetlands. Model experiments at 19 weather stations employing incremental warming scenarios determined that wetland function across most of the PPR would be diminished beyond a climate warming of about 1.5–2.0&nbsp;°C, a critical temperature threshold range identified in other climate change studies.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-015-1534-8","usgsCitation":"Johnson, W., Werner, B., and Guntenspergen, G.R., 2016, Non-linear responses of glaciated prairie wetlands to climate warming: Climatic Change, v. 134, no. 1, p. 209-223, https://doi.org/10.1007/s10584-015-1534-8.","productDescription":"15 p.","startPage":"209","endPage":"223","ipdsId":"IP-066806","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.3837890625,\n              42.35854391749705\n            ],\n            [\n              -95.2734375,\n              46.164614496897094\n            ],\n            [\n              -95.6689453125,\n              48.37084770238363\n            ],\n            [\n              -97.5146484375,\n              50.20503326494332\n            ],\n            [\n              -105.205078125,\n              52.74959372674114\n            ],\n            [\n              -111.884765625,\n              54.265224078605655\n            ],\n            [\n              -111.9287109375,\n              50.3454604086048\n            ],\n            [\n              -105.77636718749999,\n              47.931066347509784\n            ],\n            [\n              -99.36035156249999,\n              42.94033923363183\n            ],\n            [\n              -95.185546875,\n              42.16340342422401\n            ],\n            [\n              -93.3837890625,\n              42.35854391749705\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"134","issue":"1","noUsgsAuthors":false,"publicationDate":"2015-10-22","publicationStatus":"PW","scienceBaseUri":"57f7c6e6e4b0bc0bec09cbe1","contributors":{"authors":[{"text":"Johnson, W. Carter","contributorId":17548,"corporation":false,"usgs":true,"family":"Johnson","given":"W. Carter","affiliations":[],"preferred":false,"id":649099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, Brett","contributorId":47073,"corporation":false,"usgs":true,"family":"Werner","given":"Brett","affiliations":[],"preferred":false,"id":649100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649101,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175746,"text":"70175746 - 2016 - Ecohydrology and Its Relation to Integrated Groundwater Management","interactions":[],"lastModifiedDate":"2016-08-31T11:06:35","indexId":"70175746","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ecohydrology and Its Relation to Integrated Groundwater Management","docAbstract":"<p>In the twentieth century, groundwater characterization focused primarily on easily measured hydraulic metrics of water storage and flows. Twenty-first century concepts of groundwater availability, however, encompass other factors having societal value, such as ecological well-being. Effective ecohydrological science is a nexus of fundamental understanding derived from two scientific disciplines: (1) ecology, where scale, thresholds, feedbacks and tipping points for societal questions form the basis for the ecologic characterization, and (2) hydrology, where the characteristics, magnitude, and timing of water flows are characterized for a defined system of interest. In addition to ecohydrology itself, integrated groundwater management requires input from resource managers to understand which areas of the vast world of ecohydrology are important for decision making. Expectations of acceptable uncertainty, or even what ecohydrological outputs have utility, are often not well articulated within societal decision making frameworks, or within the science community itself. Similarly, &ldquo;acceptable levels of impact&rdquo; are difficult to define. Three examples are given to demonstrate the use of ecohydrological considerations for long-term sustainability of groundwater resources and their related ecosystem function. Such examples illustrate the importance of accommodating ecohydrogeological aspects into integrated groundwater management of the twenty-first century, regardless of society, climate, or setting.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated Groundwater Management","language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-23576-9_12","usgsCitation":"Hunt, R.J., Hayashi, M., and Batelaan, O., 2016, Ecohydrology and Its Relation to Integrated Groundwater Management, chap. <i>of</i> Integrated Groundwater Management, p. 297-312, https://doi.org/10.1007/978-3-319-23576-9_12.","productDescription":"16 p.","startPage":"297","endPage":"312","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057309","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":488530,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_12","text":"Publisher Index Page"},{"id":328106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb2e4b0f2f0cebfc24d","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayashi, Masaki","contributorId":173855,"corporation":false,"usgs":false,"family":"Hayashi","given":"Masaki","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":646292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batelaan, Okke","contributorId":140280,"corporation":false,"usgs":false,"family":"Batelaan","given":"Okke","email":"","affiliations":[{"id":13438,"text":"Flinders University, School of the Environment, GPO Box 2100, Adelaide, SA 5001, Australia","active":true,"usgs":false}],"preferred":false,"id":646293,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175745,"text":"70175745 - 2016 - Groundwater regulation and integrated planning","interactions":[],"lastModifiedDate":"2016-08-31T10:52:08","indexId":"70175745","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Groundwater regulation and integrated planning","docAbstract":"<p><span>The complex nature of groundwater and the diversity of uses and environmental interactions call for emerging groundwater problems to be addressed through integrated management and planning approaches. Planning requires different levels of integration dealing with: the hydrologic cycle (the physical process) including the temporal dimension; river basins and aquifers (spatial integration); socioeconomic considerations at regional, national and international levels; and scientific knowledge. The great natural variation in groundwater conditions obviously affects planning needs and options as well as perceptions from highly localised to regionally-based approaches. The scale at which planning is done therefore needs to be carefully evaluated against available policy choices and options in each particular setting. A solid planning approach is based on River Basin Management Planning (RBMP), which covers: (1) objectives that management planning are designed to address; (2) the way various types of measures fit into the overall management planning; and (3) the criteria against which the success or failure of specific strategies or interventions can be evaluated (e.g. compliance with environmental quality standards). A management planning framework is to be conceived as a &ldquo;living&rdquo; or iterated document that can be updated, refined and if necessary changed as information and experience are gained. This chapter discusses these aspects, providing an insight into European Union (EU), United States and Australia groundwater planning practices.</span></p>","language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-23576-9_8","usgsCitation":"Quevauviller, P., Batelaan, O., and Hunt, R.J., 2016, Groundwater regulation and integrated planning, p. 197-227, https://doi.org/10.1007/978-3-319-23576-9_8.","productDescription":"31 p.","startPage":"197","endPage":"227","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057329","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":488534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_8","text":"Publisher Index Page"},{"id":328103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb4e4b0f2f0cebfc272","contributors":{"authors":[{"text":"Quevauviller, Philippe","contributorId":173854,"corporation":false,"usgs":false,"family":"Quevauviller","given":"Philippe","email":"","affiliations":[{"id":27303,"text":"Professor at the K.U. Leuven","active":true,"usgs":false}],"preferred":false,"id":646289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batelaan, Okke","contributorId":140280,"corporation":false,"usgs":false,"family":"Batelaan","given":"Okke","email":"","affiliations":[{"id":13438,"text":"Flinders University, School of the Environment, GPO Box 2100, Adelaide, SA 5001, Australia","active":true,"usgs":false}],"preferred":false,"id":646290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646288,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192838,"text":"70192838 - 2016 - Significance of beating observed in earthquake responses of buildings","interactions":[],"lastModifiedDate":"2018-02-02T15:10:33","indexId":"70192838","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Significance of beating observed in earthquake responses of buildings","docAbstract":"<p>The beating phenomenon observed in the recorded responses of a tall building in Japan and another in the U.S. are examined in this paper. Beating is a periodic vibrational behavior caused by distinctive coupling between translational and torsional modes that typically have close frequencies. Beating is prominent in the prolonged resonant responses of lightly damped structures. Resonances caused by site effects also contribute to accentuating the beating effect. Spectral analyses and system identification techniques are used herein to quantify the periods and amplitudes of the beating effects from the strong motion recordings of the two buildings. Quantification of beating effects is a first step towards determining remedial actions to improve resilient building performance to strong earthquake induced shaking. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"16th U.S.-Japan-New Zealand Workshop on the  Improvement of Structural Engineering and Resiliency","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Applied Technology Council","usgsCitation":"Çelebi, M., Ghahari, S.F., and Taciroglu, E., 2016, Significance of beating observed in earthquake responses of buildings, <i>in</i> 16th U.S.-Japan-New Zealand Workshop on the  Improvement of Structural Engineering and Resiliency.","ipdsId":"IP-075048","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":350988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586d9e4b00f54eb1d81fa","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":717144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghahari, S. F.","contributorId":147707,"corporation":false,"usgs":false,"family":"Ghahari","given":"S.","email":"","middleInitial":"F.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":717145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taciroglu, E.","contributorId":147710,"corporation":false,"usgs":false,"family":"Taciroglu","given":"E.","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":717146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176186,"text":"70176186 - 2016 - Aquatic carbon cycling in the conterminous United States and implications for terrestrial carbon accounting","interactions":[],"lastModifiedDate":"2016-11-17T15:34:53","indexId":"70176186","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic carbon cycling in the conterminous United States and implications for terrestrial carbon accounting","docAbstract":"<p><span>Inland water ecosystems dynamically process, transport, and sequester carbon. However, the transport of carbon through aquatic environments has not been quantitatively integrated in the context of terrestrial ecosystems. Here, we present the first integrated assessment, to our knowledge, of freshwater carbon fluxes for the conterminous United States, where 106 (range: 71–149) teragrams of carbon per year (TgC⋅y</span><sup>−1</sup><span>) is exported downstream or emitted to the atmosphere and sedimentation stores 21 (range: 9–65) TgC⋅y</span><sup>−1</sup><span> in lakes and reservoirs. We show that there is significant regional variation in aquatic carbon flux, but verify that emission across stream and river surfaces represents the dominant flux at 69 (range: 36–110) TgC⋅y</span><sup>−1</sup><span> or 65% of the total aquatic carbon flux for the conterminous United States. Comparing our results with the output of a suite of terrestrial biosphere models (TBMs), we suggest that within the current modeling framework, calculations of net ecosystem production (NEP) defined as terrestrial only may be overestimated by as much as 27%. However, the internal production and mineralization of carbon in freshwaters remain to be quantified and would reduce the effect of including aquatic carbon fluxes within calculations of terrestrial NEP. Reconciliation of carbon mass–flux interactions between terrestrial and aquatic carbon sources and sinks will require significant additional research and modeling capacity.</span></p>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1512651112","usgsCitation":"Butman, D., Stackpoole, S.M., Stets, E., McDonald, C.P., Clow, D.W., and Striegl, R.G., 2016, Aquatic carbon cycling in the conterminous United States and implications for terrestrial carbon accounting: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 1, p. 58-63, https://doi.org/10.1073/pnas.1512651112.","productDescription":"6 p.","startPage":"58","endPage":"63","ipdsId":"IP-066687","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":482078,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1512651112","text":"Publisher Index Page"},{"id":331117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-22","publicationStatus":"PW","scienceBaseUri":"582ecfefe4b04d580bd43532","contributors":{"authors":[{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":647657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stets, Edward G. estets@usgs.gov","contributorId":174182,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","email":"estets@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":647659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald, Cory P. 0000-0002-1208-8471 cmcdonald@usgs.gov","orcid":"https://orcid.org/0000-0002-1208-8471","contributorId":4238,"corporation":false,"usgs":true,"family":"McDonald","given":"Cory","email":"cmcdonald@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"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":647662,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175744,"text":"70175744 - 2016 - Integrated groundwater management: An overview of concepts and challenges","interactions":[],"lastModifiedDate":"2016-09-07T14:44:26","indexId":"70175744","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Integrated groundwater management: An overview of concepts and challenges","docAbstract":"<p><span>Managing water is a grand challenge problem and has become one of humanity’s foremost priorities. Surface water resources are typically societally managed and relatively well understood; groundwater resources, however, are often hidden and more difficult to conceptualize. Replenishment rates of groundwater cannot match past and current rates of depletion in many parts of the world. In addition, declining quality of the remaining groundwater commonly cannot support all agricultural, industrial and urban demands and ecosystem functioning, especially in the developed world. In the developing world, it can fail to even meet essential human needs. The issue is: how do we manage this crucial resource in an acceptable way, one that considers the sustainability of the resource for future generations and the socioeconomic and environmental impacts? In many cases this means restoring aquifers of concern to some sustainable equilibrium over a negotiated period of time, and seeking opportunities for better managing groundwater conjunctively with surface water and other resource uses. However, there are many, often-interrelated, dimensions to managing groundwater effectively. Effective groundwater management is underpinned by sound science (biophysical and social) that actively engages the wider community and relevant stakeholders in the decision making process. Generally, an integrated approach will mean “thinking beyond the aquifer”, a view which considers the wider context of surface water links, catchment management and cross-sectoral issues with economics, energy, climate, agriculture and the environment. The aim of the book is to document for the first time the dimensions and requirements of sound integrated groundwater management (IGM). The primary focus is on groundwater management within its system, but integrates linkages beyond the aquifer. The book provides an encompassing synthesis for researchers, practitioners and water resource managers on the concepts and tools required for defensible IGM, including how IGM can be applied to achieve more sustainable socioeconomic and environmental outcomes, and key challenges of IGM. The book is divided into five parts: integration overview and problem settings; governance; socioeconomics; biophysical aspects; and modelling and decision support. However, IGM is integrated by definition, thus these divisions should be considered a convenience for presenting the topics rather than hard and fast demarcations of the topic area.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated groundwater management","language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-23576-9_1","usgsCitation":"Jakeman, A.J., Barreteau, O., Hunt, R.J., Rinaudo, J., and Ross, A., 2016, Integrated groundwater management: An overview of concepts and challenges, chap. <i>of</i> Integrated groundwater management, p. 3-20, https://doi.org/10.1007/978-3-319-23576-9_1.","productDescription":"18 p.","startPage":"3","endPage":"20","ipdsId":"IP-066257","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":488531,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_1","text":"Publisher Index Page"},{"id":328258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cfe8b7e4b04836416a0dce","contributors":{"editors":[{"text":"Jakeman, Anthony J. 0000-0001-5282-2215","orcid":"https://orcid.org/0000-0001-5282-2215","contributorId":173848,"corporation":false,"usgs":false,"family":"Jakeman","given":"Anthony","email":"","middleInitial":"J.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":647752,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Barreteau, Olivier","contributorId":173849,"corporation":false,"usgs":false,"family":"Barreteau","given":"Olivier","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":647753,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647754,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rinaudo, Jean-Daniel","contributorId":173850,"corporation":false,"usgs":false,"family":"Rinaudo","given":"Jean-Daniel","email":"","affiliations":[{"id":27302,"text":"BRGM (France)","active":true,"usgs":false}],"preferred":false,"id":647755,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Ross, Andrew","contributorId":173851,"corporation":false,"usgs":false,"family":"Ross","given":"Andrew","email":"","affiliations":[{"id":13328,"text":"UNESCO-IHE","active":true,"usgs":false}],"preferred":false,"id":647756,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Jakeman, Anthony J. 0000-0001-5282-2215","orcid":"https://orcid.org/0000-0001-5282-2215","contributorId":173848,"corporation":false,"usgs":false,"family":"Jakeman","given":"Anthony","email":"","middleInitial":"J.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":646282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barreteau, Olivier","contributorId":173849,"corporation":false,"usgs":false,"family":"Barreteau","given":"Olivier","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":646283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rinaudo, Jean-Daniel","contributorId":173850,"corporation":false,"usgs":false,"family":"Rinaudo","given":"Jean-Daniel","email":"","affiliations":[{"id":27302,"text":"BRGM (France)","active":true,"usgs":false}],"preferred":false,"id":646284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ross, Andrew","contributorId":173851,"corporation":false,"usgs":false,"family":"Ross","given":"Andrew","email":"","affiliations":[{"id":13328,"text":"UNESCO-IHE","active":true,"usgs":false}],"preferred":false,"id":646285,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70174981,"text":"70174981 - 2016 - Synthesis of juvenile lamprey migration and passage research and monitoring at Columbia and Snake River Dams","interactions":[],"lastModifiedDate":"2017-02-27T13:16:32","indexId":"70174981","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Synthesis of juvenile lamprey migration and passage research and monitoring at Columbia and Snake River Dams","docAbstract":"We compiled and summarized previous sources of data and research results related to the presence, numbers, and migration timing characteristics of juvenile (eyed macropthalmia) and larval (ammocoetes) Pacific lamprey Entosphenus tridentatus, in the Columbia River basin (CRB). Included were data from various screw trap collections, data from historic fyke net studies, catch records of lampreys at JBS facilities, turbine cooling water strainer collections, and information on the occurrence of lampreys in the diets of avian and piscine predators. We identified key data gaps and uncertainties that should be addressed in a juvenile lamprey passage research program. The goal of this work was to summarize information from disparate sources so that managers can use it to prioritize and guide future research and monitoring efforts related to the downstream migration of juvenile Pacific lamprey within the CRB.\r\n\r\nA common finding in all datasets was the high level of variation observed for CRB lamprey in numbers present, timing and spatial distribution. This will make developing monitoring programs to accurately characterize lamprey migrations and passage more challenging. Primary data gaps centered around our uncertainty on the numbers of juvenile and larval present in the system which affects the ability to assign risk to passage conditions and prioritize management actions. Recommendations include developing standardized monitoring methods, such as at juvenile bypass systems (JBS’s), to better document numbers and timing of lamprey migrations at dams, and use biotelemetry tracking techniques to estimate survival potentials for different migration histories.","language":"English","publisher":"U.S. Army Corps of Engineers","collaboration":"U.S. Army Corps of Engineers","usgsCitation":"Mesa, M.G., Weiland, L.K., and Christiansen, H.E., 2016, Synthesis of juvenile lamprey migration and passage research and monitoring at Columbia and Snake River Dams, 61 p.","productDescription":"61 p.","ipdsId":"IP-056750","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":336273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325617,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/idahofro/reports/Journals/Juvenile%20lamprey%20data%20synthesis%20Jan16.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c2e4b01ccd54fddfc4","contributors":{"authors":[{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christiansen, Helena E. hchristiansen@usgs.gov","contributorId":4530,"corporation":false,"usgs":true,"family":"Christiansen","given":"Helena","email":"hchristiansen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":643496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192143,"text":"70192143 - 2016 - Deserts","interactions":[],"lastModifiedDate":"2020-09-18T20:04:38.331148","indexId":"70192143","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Deserts","docAbstract":"<p>The deserts of California (Lead photo, Fig. 1) occupy approximately 38% of California’s landscape (Table 1) and consist of three distinct deserts: the Great Basin Desert, Mojave Desert, and Colorado Desert, the latter of which is a subdivision of the Sonoran Desert (Brown and Lowe 1980). The wide range of climates and geology found within each of these deserts result in very different vegetative communities and ecosystem processes and therefore different ecosystem services. In deserts, extreme conditions such as very high and low temperatures and very low rainfall result in abiotic factors (climate, geology, geomorphology, and soils) controlling the composition and function of ecosystems, including plant and animal distributions. This is in contrast to wetter and milder temperatures found in other ecosystems, where biotic interactions are the dominant driving force. However, despite the harsh conditions in deserts, they are home to a surprisingly large number of plants and animals. Deserts are also places where organisms display a wide array of adaptations to the extremes they encounter, providing some of the best examples of Darwinian selection (MacMahon and Wagner 1985, Ward 2009). Humans have utilized these regions for thousands of years, despite the relatively low productivity and harsh climates of these landscapes. Unlike much of California, most of these desert lands have received little high-intensity use since European settlement, leaving large areas relatively undisturbed. Desert landscapes are being altered, however, by the introduction of fire following the recent invasion of Mediterranean annual grasses. As most native plants are not fire-adapted, they Many do not recover, whereas the non-native grasses flourish. Because desert lands are slow to recover from disturbances, energy exploration and development, recreational use, and urban development will alter these landscapes for many years to come. This chapter provides a brief description of where the different deserts of California are located and their dominant vegetative communities. The abiotic factors that define these deserts and how these factors control vegetation and thus animal distribution among and within the various deserts are examined next. Following this section, ecosystem processes and iconic species of these deserts are discussed, followed by a concluding section on the future of these landscapes. The latter section will be mostly focused on the Mojave Desert, as it is both the largest California desert and also where most of the research on California deserts has occurred.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystems of California","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","usgsCitation":"Belnap, J., Webb, R., Esque, T., Brooks, M.L., DeFalco, L.A., and MacMahon, J.A., 2016, Deserts, chap. <i>of</i> Ecosystems of California, p. 635-668.","productDescription":"34 p.","startPage":"635","endPage":"668","ipdsId":"IP-054739","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and 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,{"id":70188829,"text":"70188829 - 2016 - U-Pb, Re-Os, and Ar/Ar geochronology of rare earth element (REE)-rich breccia pipes and associated host rocks from the Mesoproterozoic Pea Ridge Fe-REE-Au deposit, St. Francois Mountains, Missouri","interactions":[],"lastModifiedDate":"2018-11-19T11:30:41","indexId":"70188829","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"U-Pb, Re-Os, and Ar/Ar geochronology of rare earth element (REE)-rich breccia pipes and associated host rocks from the Mesoproterozoic Pea Ridge Fe-REE-Au deposit, St. Francois Mountains, Missouri","docAbstract":"<p>Rare earth element (REE)-rich breccia pipes (600,000 t @ 12% rare earth oxides) are preserved along the margins of the 136-million metric ton (Mt) Pea Ridge magnetite-apatite deposit, within Mesoproterozoic (~1.47 Ga) volcanic-plutonic rocks of the St. Francois Mountains terrane in southeastern Missouri, United States. The breccia pipes cut the rhyolite-hosted magnetite deposit and contain clasts of nearly all local bedrock and mineralized lithologies.</p><p>Grains of monazite and xenotime were extracted from breccia pipe samples for SHRIMP U-Pb geochronology; both minerals were also dated in one polished thin section. Monazite forms two morphologies: (1) matrix granular grains composed of numerous small (&lt;50<span>&nbsp;</span><i>μ</i>m) crystallites intergrown with rare xenotime, thorite, apatite, and magnetite; and (2) coarse euhedral, glassy, bright-yellow grains similar to typical igneous or metamorphic monazite. Trace element abundances (including REE patterns) were determined on selected grains of monazite (both morphologies) and xenotime. Zircon grains from two samples of host rhyolite and two late felsic dikes collected underground at Pea Ridge were also dated. Additional geochronology done on breccia pipe minerals includes Re-Os on fine-grained molybdenite and<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar on muscovite, biotite, and K-feldspar.</p><p>Ages (±2<i>σ</i><span>&nbsp;</span>errors) obtained by SHRIMP U-Pb analysis are as follows: (1) zircon from the two host rhyolite samples have ages of 1473.6 ± 8.0 and 1472.7 ± 5.6 Ma; most zircon in late felsic dikes is interpreted as xenocrystic (age range ca. 1522–1455 Ma); a population of rare spongy zircon is likely of igneous origin and yields an age of 1441 ± 9 Ma; (2) pale-yellow granular monazite—1464.9 ± 3.3 Ma (no dated xenotime); (3) reddish matrix granular monazite—1462.0 ± 3.5 Ma and associated xenotime—1453 ± 11 Ma; (4) coarse glassy-yellow monazite—1464.8 ± 2.1, 1461.7 ± 3.7 Ma, with rims at 1447.2 ± 4.7 Ma; and (5) matrix monazite (in situ)—1464.1 ± 3.6 and 1454.6 ± 9.6 Ma, and matrix xenotime (in situ)—1468.0 ± 8.0 Ma. Two slightly older ages of cores are about 1478 Ma. The young age of rims on the coarse glassy monazite coincides with an Re-Os age of 1440.6 ± 9.2 Ma determined in this study for molybdenite intergrown with quartz and allanite, and with the age of monazite inclusions in apatite from the magnetite ore (<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"b53-1111883\">Neymark et al., 2016</a>). A<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar age of 1473 ± 1 Ma was obtained for muscovite from a breccia pipe sample.</p><p>Geochronology and trace element geochemical data suggest that the granular matrix monazite and xenotime (in polygonal texture), and cores of coarse glassy monazite precipitated from hydrothermal fluids during breccia pipes formation at about 1465 Ma. The second episode of mineral growth at ca. 1443 Ma may be related to faulting and fluid flow that rebrecciated the pipes. The ca. 10-m.y. gap between the ages of host volcanic rocks and breccia pipe monazite and xenotime suggests that breccia pipe mineral formation cannot be related to the felsic magmatism represented by the rhyolitic volcanic rocks, and hence is linked to a different magmatic-hydrothermal system.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1883","usgsCitation":"Aleinikoff, J.N., Selby, D., Slack, J.F., Day, W.C., Pillers, R.M., Cosca, M.A., Seeger, C., Fanning, C.M., and Samson, I., 2016, U-Pb, Re-Os, and Ar/Ar geochronology of rare earth element (REE)-rich breccia pipes and associated host rocks from the Mesoproterozoic Pea Ridge Fe-REE-Au deposit, St. Francois Mountains, Missouri: Economic Geology, v. 111, no. 8, p. 1883-1914, https://doi.org/10.2113/econgeo.111.8.1883.","productDescription":"32 p.","startPage":"1883","endPage":"1914","ipdsId":"IP-070483","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources 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