{"pageNumber":"537","pageRowStart":"13400","pageSize":"25","recordCount":46677,"records":[{"id":70160693,"text":"70160693 - 2014 - Model distribution of Silver Chub (<i>Macrhybopsis storeriana</i>) in western Lake Erie","interactions":[],"lastModifiedDate":"2016-01-02T16:32:29","indexId":"70160693","displayToPublicDate":"2014-02-01T17:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Model distribution of Silver Chub (<i>Macrhybopsis storeriana</i>) in western Lake Erie","docAbstract":"<p>Silver Chub (<i>Macrhybopsis storeriana</i>) was once a common forage fish in Lake Erie but has declined greatly since the 1950s. Identification of optimal and marginal habitats would help conserve and manage this species. We developed neural networks to use broad-scale habitat variables to predict abundance classes of Silver Chub in western Lake Erie, where its largest remaining population exists. Model performance was good, particularly for predicting locations of habitat with the potential to support the highest and lowest abundances of this species. Highest abundances are expected in waters &gt;5 m deep; water depth and distance to coastal habitats were important model features. These models provide initial tools to help conserve this species, but their resolution can be improved with additional data and consideration of other ecological factors.</p>","language":"English","publisher":"University of Notre Dame","publisherLocation":"Notre Dame, IN","doi":"10.1674/0003-0031-171.2.301","collaboration":"Chris Castiglione of USFWS","usgsCitation":"McKenna, J., and Castiglione, C., 2014, Model distribution of Silver Chub (<i>Macrhybopsis storeriana</i>) in western Lake Erie: American Midland Naturalist, v. 171, no. 2, p. 301-310, https://doi.org/10.1674/0003-0031-171.2.301.","productDescription":"10 p.","startPage":"301","endPage":"310","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049891","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castiglione, Chris","contributorId":150899,"corporation":false,"usgs":false,"family":"Castiglione","given":"Chris","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":583577,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70115921,"text":"70115921 - 2014 - Performance of several low-cost accelerometers","interactions":[],"lastModifiedDate":"2014-07-08T15:38:14","indexId":"70115921","displayToPublicDate":"2014-02-01T15:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Performance of several low-cost accelerometers","docAbstract":"Several groups are implementing low‐cost host‐operated systems of strong‐motion accelerographs to support the somewhat divergent needs of seismologists and earthquake engineers. The Advanced National Seismic System Technical Implementation Committee (ANSS TIC, 2002), managed by the U.S. Geological Survey (USGS) in cooperation with other network operators, is exploring the efficacy of such systems if used in ANSS networks. To this end, ANSS convened a working group to explore available Class C strong‐motion accelerometers (defined later), and to consider operational and quality control issues, and the means of annotating, storing, and using such data in ANSS networks. The working group members are largely coincident with our author list, and this report informs instrument‐performance matters in the working group’s report to ANSS. Present examples of operational networks of such devices are the Community Seismic Network (CSN; csn.caltech.edu), operated by the California Institute of Technology, and Quake‐Catcher Network (QCN; Cochran et al., 2009; qcn.stanford.edu; November 2013), jointly operated by Stanford University and the USGS. Several similar efforts are in development at other institutions. The overarching goals of such efforts are to add spatial density to existing Class‐A and Class‐B (see next paragraph) networks at low cost, and to include many additional people so they become invested in the issues of earthquakes, their measurement, and the damage they cause.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Seismological Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220130091","usgsCitation":"Evans, J., Allen, R.M., Chung, A.I., Cochran, E., Guy, R., Hellweg, M., and Lawrence, J.F., 2014, Performance of several low-cost accelerometers: Seismological Research Letters, v. 85, no. 1, p. 147-158, https://doi.org/10.1785/0220130091.","productDescription":"12 p.","startPage":"147","endPage":"158","numberOfPages":"12","ipdsId":"IP-049369","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473179,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20140206-094054383","text":"External Repository"},{"id":289566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289538,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0220130091"}],"volume":"85","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-02","publicationStatus":"PW","scienceBaseUri":"53bd12efe4b00cbf31f72357","contributors":{"authors":[{"text":"Evans, J.R.","contributorId":50526,"corporation":false,"usgs":true,"family":"Evans","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":495685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, R. M.","contributorId":36170,"corporation":false,"usgs":false,"family":"Allen","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chung, A. I.","contributorId":39293,"corporation":false,"usgs":false,"family":"Chung","given":"A.","email":"","middleInitial":"I.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":495684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, E.S.","contributorId":74561,"corporation":false,"usgs":true,"family":"Cochran","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":495687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guy, R.","contributorId":52892,"corporation":false,"usgs":true,"family":"Guy","given":"R.","email":"","affiliations":[],"preferred":false,"id":495686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hellweg, M.","contributorId":11344,"corporation":false,"usgs":true,"family":"Hellweg","given":"M.","email":"","affiliations":[],"preferred":false,"id":495681,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawrence, J. F.","contributorId":14224,"corporation":false,"usgs":false,"family":"Lawrence","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":495682,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70115661,"text":"70115661 - 2014 - Change detection using vegetation indices and multiplatform satellite imagery at multiple temporal and spatial scales","interactions":[],"lastModifiedDate":"2014-07-07T15:19:23","indexId":"70115661","displayToPublicDate":"2014-02-01T15:16:26","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Change detection using vegetation indices and multiplatform satellite imagery at multiple temporal and spatial scales","docAbstract":"<p>This chapter describes emerging methods for using satellite imagery across temporal and spatial scales using a case study approach to illustrate some of the opportunities now available for combining observations across scales. It explores the use of multiplatform sensor systems to characterize ecological change, as exemplified by efforts to scale the effects of a biocontrol insect (the leaf beetle <i>Diorhabda carinulata</i>) on the phenology and water use of <i>Tamarix</i> shrubs (Tamarix ramosissima and related species and hybrids) targeted for removal on western U.S. rivers, from the level of individual leaves to the regional level of measurement. Finally, the chapter summarizes the lessons learned and emphasize the need for ground data to calibrate and validate remote sensing data and the types of errors inherent in scaling point data over wide areas, illustrated with research on evapotranspiration (ET) of <i>Tamarix</i> using a wide range of ground measurement and remote sensing methods.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Scale Issues in Remote Sensing","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Wiley and Sons","publisherLocation":"Hoboken, NJ","doi":"10.1002/9781118801628.ch05","usgsCitation":"Glenn, E.P., Nagler, P.L., and Huete, A.R., 2014, Change detection using vegetation indices and multiplatform satellite imagery at multiple temporal and spatial scales, chap. <i>of</i> Scale Issues in Remote Sensing, https://doi.org/10.1002/9781118801628.ch05.","ipdsId":"IP-041959","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":289490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289489,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/9781118801628.ch05"}],"noUsgsAuthors":false,"publicationDate":"2014-02-07","publicationStatus":"PW","scienceBaseUri":"53bbc162e4b084059e8bfeb7","contributors":{"editors":[{"text":"Weng, Qihao","contributorId":112678,"corporation":false,"usgs":true,"family":"Weng","given":"Qihao","email":"","affiliations":[],"preferred":false,"id":509914,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo R.","contributorId":87291,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":495667,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70104742,"text":"70104742 - 2014 - Evaluation of analytical techniques to determine AQUI-S® 20E (eugenol) concentrations in water","interactions":[],"lastModifiedDate":"2021-03-18T19:29:40.387295","indexId":"70104742","displayToPublicDate":"2014-02-01T14:47:09","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of analytical techniques to determine AQUI-S® 20E (eugenol) concentrations in water","docAbstract":"<p><span>There is a critical need in U.S. public aquaculture and fishery management programs for an immediate-release sedative, i.e. a compound that can be safely and effectively used to sedate fish and subsequently, allow for their immediate release. AQUI-S® 20E (10% active ingredient, eugenol; any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government) is being pursued for U.S. approval as an immediate-release sedative. As part of the approval process, data describing animal safety and efficacy are needed. Essential to conducting studies that generate those data, is a method to accurately and precisely determine AQUI-S® 20E concentrations in exposure baths. Spectrophotometric and solid phase extraction (SPE)–high pressure liquid chromatography (LC) methods were developed and evaluated as methods to determine AQUI-S® 20E (eugenol) concentrations in water, methods that could be applied to any situation where eugenol was being evaluated as a fish sedative. The spectrophotometric method was accurate and precise (accuracy, &gt;</span><span>&nbsp;</span><span>87%; precision, &lt;</span><span>&nbsp;</span><span>0.70 %CV) when determining eugenol concentrations in solutions of 50 to 1000</span><span>&nbsp;</span><span>mg/L AQUI-S® 20E made with LC grade water and water with varying pH and hardness. The spectrophotometric method's accuracy was negatively affected when analyzing water containing fish feed. The SPE–LC method was also accurate and precise (accuracy &gt;</span><span>&nbsp;</span><span>86%; precision &lt;</span><span>&nbsp;</span><span>8.9 %CV) when determining eugenol concentrations in solutions of 50 to 1000</span><span>&nbsp;</span><span>mg/L AQUI-S® 20E made with LC grade water and water with varying pH and hardness. The SPE–LC method was influenced to a lesser degree by the presence of fish feed indicating greater specificity for eugenol.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquaculture.2013.09.033","usgsCitation":"Meinertz, J.R., and Hess, K.R., 2014, Evaluation of analytical techniques to determine AQUI-S® 20E (eugenol) concentrations in water: Aquaculture, v. 418-419, p. 62-66, https://doi.org/10.1016/j.aquaculture.2013.09.033.","productDescription":"5 p.","startPage":"62","endPage":"66","numberOfPages":"5","ipdsId":"IP-042622","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":287262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"418-419","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53771748e4b02eab8669ebf6","contributors":{"authors":[{"text":"Meinertz, Jeffery R. 0000-0002-8855-2648 jmeinertz@usgs.gov","orcid":"https://orcid.org/0000-0002-8855-2648","contributorId":2495,"corporation":false,"usgs":true,"family":"Meinertz","given":"Jeffery","email":"jmeinertz@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hess, Karina R.","contributorId":50792,"corporation":false,"usgs":true,"family":"Hess","given":"Karina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493794,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099912,"text":"70099912 - 2014 - On the role of budget sufficiency, cost efficiency, and uncertainty in species management","interactions":[],"lastModifiedDate":"2018-01-05T10:04:20","indexId":"70099912","displayToPublicDate":"2014-02-01T14:24:42","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"On the role of budget sufficiency, cost efficiency, and uncertainty in species management","docAbstract":"Many conservation planning frameworks rely on the assumption that one should prioritize locations for management actions based on the highest predicted conservation value (i.e., abundance, occupancy). This strategy may underperform relative to the expected outcome if one is working with a limited budget or the predicted responses are uncertain. Yet, cost and tolerance to uncertainty rarely become part of species management plans. We used field data and predictive models to simulate a decision problem involving western burrowing owls (Athene cunicularia hypugaea) using prairie dog colonies (Cynomys ludovicianus) in western Nebraska. We considered 2 species management strategies: one maximized abundance and the other maximized abundance in a cost-efficient way. We then used heuristic decision algorithms to compare the 2 strategies in terms of how well they met a hypothetical conservation objective. Finally, we performed an info-gap decision analysis to determine how these strategies performed under different budget constraints and uncertainty about owl response. Our results suggested that when budgets were sufficient to manage all sites, the maximizing strategy was optimal and suggested investing more in expensive actions. This pattern persisted for restricted budgets up to approximately 50% of the sufficient budget. Below this budget, the cost-efficient strategy was optimal and suggested investing in cheaper actions. When uncertainty in the expected responses was introduced, the strategy that maximized abundance remained robust under a sufficient budget. Reducing the budget induced a slight trade-off between expected performance and robustness, which suggested that the most robust strategy depended both on one's budget and tolerance to uncertainty. Our results suggest that wildlife managers should explicitly account for budget limitations and be realistic about their expected levels of performance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.638","usgsCitation":"van der Burg, M.P., Bly, B.B., Vercauteren, T., Grand, J.B., and Tyre, A.J., 2014, On the role of budget sufficiency, cost efficiency, and uncertainty in species management: Journal of Wildlife Management, v. 78, no. 1, p. 153-163, https://doi.org/10.1002/jwmg.638.","productDescription":"11 p.","startPage":"153","endPage":"163","ipdsId":"IP-041133","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":285063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.638"}],"country":"United States","state":"Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0535,39.9999 ], [ -104.0535,43.0017 ], [ -95.3083,43.0017 ], [ -95.3083,39.9999 ], [ -104.0535,39.9999 ] ] ] } } ] }","volume":"78","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-19","publicationStatus":"PW","scienceBaseUri":"53517059e4b05569d805a356","contributors":{"authors":[{"text":"van der Burg, Max Post","contributorId":92580,"corporation":false,"usgs":true,"family":"van der Burg","given":"Max","email":"","middleInitial":"Post","affiliations":[],"preferred":false,"id":492062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bly, Bartholomew B.","contributorId":106011,"corporation":false,"usgs":true,"family":"Bly","given":"Bartholomew","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":492063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vercauteren, Tammy","contributorId":23064,"corporation":false,"usgs":true,"family":"Vercauteren","given":"Tammy","email":"","affiliations":[],"preferred":false,"id":492061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":492059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tyre, Andrew J.","contributorId":10720,"corporation":false,"usgs":true,"family":"Tyre","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492060,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70099125,"text":"70099125 - 2014 - Guidelines for monitoring and adaptively managing restoration of Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and steelhead (<i>O. mykiss</i>) on the Elwha River","interactions":[],"lastModifiedDate":"2016-05-30T09:14:25","indexId":"70099125","displayToPublicDate":"2014-02-01T14:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Guidelines for monitoring and adaptively managing restoration of Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and steelhead (<i>O. mykiss</i>) on the Elwha River","docAbstract":"<p>As of January, 2014, the removal of the Elwha and Glines Canyon dams on the Elwha River, Washington, represents the largest dam decommissioning to date in the United States. Dam removal is the single largest step in meeting the goals of the Elwha River Ecosystem and Fisheries Restoration Act of 1992 (The Elwha Act) &mdash; full restoration of the Elwha River ecosystem and its native anadromous fisheries (Section 3(a)). However, there is uncertainty about project outcomes with regards to salmon populations, as well as what the &lsquo;best&rsquo; management strategy is to fully restore each salmon stock. This uncertainty is due to the magnitude of the action, the large volumes of sediment expected to be released during dam removal, and the duration of the sediment impact period following dam removal. Our task is further complicated by the depleted state of the native salmonid populations remaining in the Elwha, including four federally listed species. This situation lends itself to a monitoring and adaptive management approach to resource management, which allows for flexibility in decision-making processes in the face of uncertain outcomes.</p>\n<p>&nbsp;</p>\n<p>The Elwha Monitoring and Adaptive Management (EMAM) guidelines presented in this document provide a framework for developing goals that define project success and for monitoring project implementation and responses, focused upon two federally listed salmon species &mdash; Puget Sound Chinook salmon (Oncorhynchus tshawytscha) and Puget Sound steelhead (O. mykiss). The framework also should serve as a guide to help managers adaptively manage fish restoration actions during and following dam removal. The document is organized into seven sections, including an introduction (Section 1), a description of the adaptive management approach (Section 2), suggested modifications to the existing restoration strategy developed in previous Elwha River restoration documents (section 3), specific descriptions of an adaptive management framework, including establishment of goals, performance indicators, and potential adaptive management responses to monitoring information (section 4), monitoring tools and methods for use in evaluating performance and project outcomes (section 5), and brief sections on data record keeping and reporting (Section 6) and an estimated budget (section 7).</p>\n<p>&nbsp;</p>\n<p>The purpose of the EMAM guidelines is to propose (1) refinement of existing goals established in previous documents (e.g., Ward et al. (2008), U.S. Department of the Interior, Department of Commerce, and Lower Elwha S&rsquo;Klallam Tribe (1994)); (2) an adaptive management framework, (3) specific trigger values for relevant performance indicators that guide the adaptive management approach, (4) a specific monitoring strategy for evaluating outcomes of restoration activities; (5) a data management strategy, (6) information needed for adjusting goals when observations indicate conditions are different from anticipated. When taken together, our proposed adaptive management guidelines rely upon setting goals and objectives for each species of interest, which are monitored by relevant performance indicators and measurable trigger values that define success within each phase of the project. The guidelines themselves are arranged in a hierarchy for each species of interest. The levels of this hierarchy are goals, objectives, performance indicators, decision rules, triggers, and decisions (i.e., management/policy response).</p>\n<p>&nbsp;</p>\n<p>The monitoring and adaptive management approach provided is based on monitoring several categories of performance indicators, each containing associated &lsquo;trigger&rsquo; values which, when met, alters restoration activities (e.g., hatchery releases and/or strategies) through four successive restoration phases. Performance indicators proposed in these EMAM guidelines are based upon Viable Salmon Population (VSP) metrics, including abundance, productivity, distribution, and diversity (McElhany et al. 2000). Trigger values for each performance indicator are developed for four different restoration phases: Preservation, Recolonization, Local Adaptation, and Viable Natural Population. These biologically-based phases each have a set of objectives that are based on resource management scenarios, including the dam removal project itself, which change largely based on the level of active management required and the degree, if any, of resource utilization. Thus, details of prescribed management actions for each phase are based upon different needs specific to that phase.</p>\n<p>&nbsp;</p>\n<p>The creation of biologically-based phases is one of the major differences between our proposed EMAM guidelines and previously presented plans for Elwha River Restoration Project management. Changed largely in response to the recommendations of the most recent of three Hatchery Scientific Review Group project reviews (HSRG 2012), the goal-oriented phases replaced the previous system of temporal changes centered around the decommissioning of the dams (i.e., before, during, and after dam removal). By focusing on outcomes associated with rebuilding salmon populations instead of an engineering schedule, the guidelines are more amenable to an adaptive management framework and the ability for management actions to influence outcomes, particularly in the periods during and following dam removal.</p>\n<p>&nbsp;</p>\n<p>Trigger values for each performance indicator were generally developed using existing data from the Elwha River watershed, the Puget Sound region, or other Pacific Northwest rivers (i.e., elsewhere in Washington State, Oregon, British Columbia) modified to be relevant for Chinook salmon and steelhead recovery in the Elwha River. By meeting all of the trigger value levels for all performance indicators for a set amount of time within a management phase, the guidelines call for moving to the next phase. This next phase has a new set of trigger values for the same performance indicators. For example, upon moving from the Preservation phase to the Recolonization phase, the trigger value for intrinsic potential increases. Intrinsic potential is a pre-defined estimate of the total extent of available habitat within a watershed for adult and juvenile fish, specific to the target species and is therefore a performance indicator of spatial distribution. By the final Viable Natural Population phase, the entire intrinsic potential of the watershed is being occupied by the species of interest. For those cases when a performance indicator is not exceeding the target value for a particular phase after a certain time period, the trigger values provided in this document, as well as a series of exogenous variables, are explored that may help explain why the performance indicator is not being met. These exogenous variables include variables that are not part of the suite of performance indicators, such as hatchery production, harvest, habitat, and ecosystem indicators. In these cases where the program is stuck in a particular recovery phase, the situation could be caused by the selection of inappropriate trigger values or unforeseen environmental conditions. If the former, adaptive management would call for existing monitoring data to be used for modifying trigger values to an appropriate level. If one of the exogenous variables is found to be preventing the program moving to the next phase, then appropriate changes to management would be advised.</p>\n<p>&nbsp;</p>\n<p>For each performance indicator and many of the exogenous variables, a set of monitoring tools were proposed. Data standards were also proposed for data generated by each monitoring tool. Data management, record keeping, and reporting of monitoring and adaptive management activities and results are also outlined. Management of data from the focused monitoring program and documenting the outcomes of trigger value evaluations and associated decisions from the adaptive management approach are key components of the EMAM guidelines. Without a clear history of data generated and adaptive management decisions taken by managers, the ability to learn through adaptive management breaks down. In addition to the long time period involved, another complication is the fact that the data will likely be collected by different federal and state agencies, tribal staff, and others. Having a system of reporting developed should help alleviate potential problems.</p>\n<p>&nbsp;</p>\n<p>The restoration of the migration route to spawning and rearing habitats upstream of the former Glines Canyon Dam represents a great opportunity for salmon on the Olympic Peninsula. By removing two aging structures, it will be possible for all 5 species of salmon and steelhead to return to wild stretches of the Elwha River and major floodplain habitat characterized by multiple channels, as well as significant portions of numerous tributaries. Measuring the progress of restoration, from the perspective of both salmon populations and the ecosystem upon which they depend, is a great test for a collaborative team of scientists. The normally challenging conditions of working in a steep gradient, high velocity wilderness river are exacerbated by the release of millions of cubic yards of sediment that had accumulated in the reservoirs. After the first two years of the dam decommissioning process, this release has changed the ecology of the river, estuary, and nearshore habitats downstream of the dams. Our goal in developing the guidelines described is to provide a roadmap for tracking what hopefully will become a successful outcome. If successfully implemented, this information should prove useful as others begin planning for the removal, alteration, or reconstruction of dams throughout North America and elsewhere, an inevitable outcome of an aging dam infrastructure.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"Joint Federal Interagency Conference","conferenceDate":"June 28-July, 2010","conferenceLocation":"Las Vegas, NV","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Peters, R., Duda, J., Pess, G., Zimmerman, M., Crain, P., Hughes, Z., Wilson, A., Liermann, M., Morley, S., McMillan, J., Denton, K., and Warheit, K., 2014, Guidelines for monitoring and adaptively managing restoration of Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and steelhead (<i>O. mykiss</i>) on the Elwha River, <i>in</i> Proceedings of the Joint Federal Interagency Conference, Las Vegas, NV, June 28-July, 2010, 10 p.","productDescription":"10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049368","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":286303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.605912,47.730895 ], [ -123.605912,48.147649 ], [ -123.444184,48.147649 ], [ -123.444184,47.730895 ], [ -123.605912,47.730895 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517044e4b05569d805a247","contributors":{"authors":[{"text":"Peters, R.J.","contributorId":7619,"corporation":false,"usgs":true,"family":"Peters","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":491837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duda, J.J. 0000-0001-7431-8634","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":105073,"corporation":false,"usgs":true,"family":"Duda","given":"J.J.","affiliations":[],"preferred":false,"id":491848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pess, G.R.","contributorId":33037,"corporation":false,"usgs":true,"family":"Pess","given":"G.R.","affiliations":[],"preferred":false,"id":491841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, M.","contributorId":72541,"corporation":false,"usgs":true,"family":"Zimmerman","given":"M.","email":"","affiliations":[],"preferred":false,"id":491844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crain, P.","contributorId":31308,"corporation":false,"usgs":true,"family":"Crain","given":"P.","email":"","affiliations":[],"preferred":false,"id":491840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hughes, Z.","contributorId":80185,"corporation":false,"usgs":true,"family":"Hughes","given":"Z.","email":"","affiliations":[],"preferred":false,"id":491845,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, A.","contributorId":8430,"corporation":false,"usgs":true,"family":"Wilson","given":"A.","affiliations":[],"preferred":false,"id":491838,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liermann, M.C.","contributorId":42875,"corporation":false,"usgs":true,"family":"Liermann","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":491842,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morley, S.A.","contributorId":49619,"corporation":false,"usgs":true,"family":"Morley","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":491843,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McMillan, J.","contributorId":83835,"corporation":false,"usgs":true,"family":"McMillan","given":"J.","email":"","affiliations":[],"preferred":false,"id":491847,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Denton, K.","contributorId":28165,"corporation":false,"usgs":true,"family":"Denton","given":"K.","email":"","affiliations":[],"preferred":false,"id":491839,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Warheit, K.","contributorId":80186,"corporation":false,"usgs":true,"family":"Warheit","given":"K.","affiliations":[],"preferred":false,"id":491846,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70101155,"text":"70101155 - 2014 - 40Ar/39Ar Geochronology, Isotope Geochemistry (Sr, Nd, Pb), and petrology of alkaline lavas near Yampa, Colorado: migration of alkaline volcanism and evolution of the northern Rio Grande rift","interactions":[],"lastModifiedDate":"2014-04-10T13:58:38","indexId":"70101155","displayToPublicDate":"2014-02-01T13:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"40Ar/39Ar Geochronology, Isotope Geochemistry (Sr, Nd, Pb), and petrology of alkaline lavas near Yampa, Colorado: migration of alkaline volcanism and evolution of the northern Rio Grande rift","docAbstract":"Volcanic rocks near Yampa, Colorado (USA), represent one of several small late Miocene to Quaternary alkaline volcanic fields along the northeast margin of the Colorado Plateau. Basanite, trachybasalt, and basalt collected from six sites within the Yampa volcanic field were investigated to assess correlations with late Cenozoic extension and Rio Grande rifting. In this paper we report major and trace element rock and mineral compositions and Ar, Sr, Nd, and Pb isotope data for these volcanic rocks. High-precision 40Ar/39Ar geochronology indicates westward migration of volcanism within the Yampa volcanic field between 6 and 4.5 Ma, and the Sr, Nd, and Pb isotope values are consistent with a primary source in the Proterozoic subcontinental lithospheric mantle. Relict olivine phenocrysts have Mg- and Ni-rich cores, whereas unmelted clinopyroxene cores are Na and Si enriched with finely banded Ca-, Mg-, Al-, and Ti-enriched rims, thus tracing their crystallization history from a lithospheric mantle source region to one in contact with melt prior to eruption. A regional synthesis of Neogene and younger volcanism within the Rio Grande rift corridor, from northern New Mexico to southern Wyoming, supports a systematic overall southwest migration of alkaline volcanism. We interpret this Neogene to Quaternary migration of volcanism toward the northeast margin of the Colorado Plateau to record passage of melt through subvertical zones within the lithosphere weakened by late Cenozoic extension. If the locus of Quaternary alkaline magmatism defines the current location of the Rio Grande rift, it includes the Leucite Hills, Wyoming. We suggest that alkaline volcanism in the incipient northern Rio Grande rift, north of Leadville, Colorado, represents melting of the subcontinental lithospheric mantle in response to transient infiltration of asthenospheric mantle into deep, subvertical zones of dilational crustal weakness developed during late Cenozoic extension that have been migrating toward, and subparallel to, the northeast margin of the Colorado Plateau since the middle Miocene. Quaternary volcanism within this northern Rio Grande rift corridor is evidence that the rift is continuing to evolve.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/GES00921.1","usgsCitation":"Cosca, M.A., Thompson, R.A., Lee, J.P., Turner, K.J., Neymark, L.A., and Premo, W.R., 2014, 40Ar/39Ar Geochronology, Isotope Geochemistry (Sr, Nd, Pb), and petrology of alkaline lavas near Yampa, Colorado: migration of alkaline volcanism and evolution of the northern Rio Grande rift: Geology, https://doi.org/10.1130/GES00921.1.","ipdsId":"IP-044362","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00921.1","text":"Publisher Index Page"},{"id":286215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286214,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00921.1"}],"country":"United States","state":"Colorado","city":"Yampa","otherGeospatial":"Rio Grande Rift","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.913309,40.148579 ], [ -106.913309,40.157725 ], [ -106.901999,40.157725 ], [ -106.901999,40.148579 ], [ -106.913309,40.148579 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2014-02-21","publicationStatus":"PW","scienceBaseUri":"53516eb1e4b05569d8059d11","contributors":{"authors":[{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":492619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":492620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, John P. jplee@usgs.gov","contributorId":3291,"corporation":false,"usgs":true,"family":"Lee","given":"John","email":"jplee@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":492622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Kenzie J. 0000-0002-4940-3981 kturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4940-3981","contributorId":496,"corporation":false,"usgs":true,"family":"Turner","given":"Kenzie","email":"kturner@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":492617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neymark, Leonid A. lneymark@usgs.gov","contributorId":532,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid","email":"lneymark@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":492618,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":492621,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70101109,"text":"70101109 - 2014 - Earthquake intensity distributions: a new view","interactions":[],"lastModifiedDate":"2014-04-10T13:39:13","indexId":"70101109","displayToPublicDate":"2014-02-01T13:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1101,"text":"Bulletin of Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake intensity distributions: a new view","docAbstract":"Pioneering work by Nicolas Ambraseys and many collaborators demonstrates\nboth the tremendous value of macroseismic data and the perils of its uncritical assessment. In\nnumerous publications he shows that neglect of original sources and/or failure to appreciate\nthe context of historical accounts, as well as use of unreliable indicators such as landslid-\ning to determine intensities, commonly leads to inflated magnitude estimates for historical\nearthquakes. The U.S. Geological Survey “Did You Feel It?” (DYFI) system, which now\ncollects and systematically interprets thousands of first-hand reports from felt earthquakes,\nprovides the opportunity to explore further the biases associated with traditional intensity\ndistributions determined from written (media or archival) accounts. I briefly summarize and\nfurther develop the results of Hough (2013), who shows that traditional intensity distrib-\nutions imply more dramatic damage patterns than are documented by more spatially rich\nDYFI data, even when intensities are assigned according to the conservative practices estab-\nlished by Ambraseys’ work. I further consider the separate intensity–attenuation relations\nthat have been developed to characterize intensities for historical and modern earthquakes\nin California, using traditionally assigned intensities and DYFI intensities, respectively. The\nresults support the conclusion that traditionally assigned intensity values tend to be inflated\nby a fundamental bias towards reporting of dramatic rather than representative effects. I\nintroduce an empirical correction-factor approach to correct for these biases. This allows the\ngrowing wealth of well-calibrated DYFI data to be used as calibration events in the analysis\nof historical earthquakes","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Earthquake Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10518-013-9573-x","usgsCitation":"Hough, S.E., 2014, Earthquake intensity distributions: a new view: Bulletin of Earthquake Engineering, v. 12, no. 1, p. 135-155, https://doi.org/10.1007/s10518-013-9573-x.","productDescription":"21 p.","startPage":"135","endPage":"155","ipdsId":"IP-049246","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":286205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286204,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10518-013-9573-x"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-03","publicationStatus":"PW","scienceBaseUri":"53517035e4b05569d805a1d5","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":492614,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70058636,"text":"sir20135228 - 2014 - Simulation of groundwater flow in the Edwards-Trinity and related aquifers in the Pecos County region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T12:36:54","indexId":"sir20135228","displayToPublicDate":"2014-02-01T13:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5228","title":"Simulation of groundwater flow in the Edwards-Trinity and related aquifers in the Pecos County region, Texas","docAbstract":"<p>The Edwards-Trinity aquifer is a vital groundwater resource for agricultural, industrial, and public supply uses in the Pecos County region of western Texas. The U.S. Geological Survey completed a comprehensive, integrated analysis of available hydrogeologic data to develop a numerical groundwater-flow model of the Edwards-Trinity and related aquifers in the study area in parts of Brewster, Jeff Davis, Pecos, and Reeves Counties. The active model area covers about 3,400 square miles of the Pecos County region of Texas west of the Pecos River, and its boundaries were defined to include the saturated areas of the Edwards-Trinity aquifer. The model is a five-layer representation of the Pecos Valley, Edwards-Trinity, Dockum, and Rustler aquifers. The Pecos Valley aquifer is referred to as the alluvial layer, and the Edwards-Trinity aquifer is divided into layers representing the Edwards part of the Edwards-Trinity aquifer and the Trinity part of the Edwards-Trinity aquifer, respectively. The calibration period of the simulation extends from 1940 to 2010. Simulated hydraulic heads generally were in good agreement with observed values; 1,684 out of 2,860 (59 percent) of the simulated values were within 25 feet of the observed value. The average root mean square error value of hydraulic head for the Edwards-Trinity aquifer was 34.2 feet, which was approximately 4 percent of the average total observed change in groundwater-level altitude (groundwater level). Simulated spring flow representing Comanche Springs exhibits a pattern similar to observed spring flow. Independent geochemical modeling corroborates results of simulated groundwater flow that indicates groundwater in the Edwards-Trinity aquifer in the Leon-Belding and Fort Stockton areas is a mixture of recharge from the Barilla and Davis Mountains and groundwater that has upwelled from the Rustler aquifer.</p>\n<p>The model was used to simulate groundwater-level altitudes resulting from prolonged pumping to evaluate sustainability of current and projected water-use demands. Each of three scenarios utilized a continuation of the calibrated model. Scenario 1 extended recent (2008) irrigation and nonirrigation pumping values for a 30-year period from 2010 to 2040. Projected groundwater-level changes in and around the Fort Stockton area under scenario 1 change little from current conditions, indicating that the groundwater system is near equilibrium with respect to recent (2008) pumping stress. Projected groundwater-level declines in the eastern part of the model area ranging from 5.0 to 15.0 feet are likely the result of nonequilibrium conditions associated with recent increases in pumping after a prolonged water-level recovery period of little or no pumping. Projected groundwater-level declines (from 15.0 to 31.0 feet) occurred in localized areas by the end of scenario 1 in the Leon-Belding area. Scenario 2 evaluated the effects of extended recent (2008) pumping rates as assigned in scenario 1 with year-round maximum permitted pumping rates in the Belding area. Results of scenario 2 are similar in water-level decline and extent as those of scenario 1. The extent of the projected groundwater-level decline in the range from 5.0 to 15.0 feet in the Leon-Belding irrigation area expanded slightly (about a 2-percent increase) from that of scenario 1. Maximum projected groundwater-level declines in the Leon-Belding irrigation area were approximately 31.3 feet in small isolated areas. Scenario 3 evaluated the effects of periodic increases in pumping rates over the 30-year extended period. Results of scenario 3 are similar to those of scenario 2 in terms of the areas of groundwater-level decline; however, the maximum projected groundwater-level decline increased to approximately 34.5 feet in the Leon-Belding area, and the extent of the decline was larger in area (about a 17-percent increase) than that of scenario 2. Additionally, the area of projected groundwater-level declines in the eastern part of the model area increased from that of scenario 2&mdash;two individual areas of decline coalesced into one larger area. The localized nature of the projected groundwater-level declines is a reflection of the high degree of fractured control on storage and hydraulic conductivity in the Edwards-Trinity aquifer. Additionally, the finding that simulated spring flow is highly dependent on the transient nature of hydraulic heads in the underlying aquifer indicates the importance of adequately understanding and characterizing the entire groundwater system.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135228","collaboration":"Prepared in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1","usgsCitation":"Clark, B.R., Bumgarner, J.R., Houston, N.A., and Foster, A.L., 2014, Simulation of groundwater flow in the Edwards-Trinity and related aquifers in the Pecos County region, Texas (First posted February 14, 2014; Revised and reposted August 5, 2014, version 1.1): U.S. Geological Survey Scientific Investigations Report 2013-5228, viii, 55 p., https://doi.org/10.3133/sir20135228.","productDescription":"viii, 55 p.","numberOfPages":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052736","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":282423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135228.jpg"},{"id":282420,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5228/pdf/sir2013-5228.pdf"},{"id":282422,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5228/"}],"country":"United States","state":"Texas","county":"Pecos County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.5,30.5 ], [ -104.5,31.5 ], [ -101.5,31.5 ], [ -101.5,30.5 ], [ -104.5,30.5 ] ] ] } } ] }","edition":"First posted February 14, 2014; Revised and reposted August 5, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e3414ae4b0567f2770196a","contributors":{"authors":[{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":487212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bumgarner, Johnathan R. jbumgarner@usgs.gov","contributorId":5378,"corporation":false,"usgs":true,"family":"Bumgarner","given":"Johnathan","email":"jbumgarner@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":487214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houston, Natalie A. 0000-0002-6071-4545 nhouston@usgs.gov","orcid":"https://orcid.org/0000-0002-6071-4545","contributorId":1682,"corporation":false,"usgs":true,"family":"Houston","given":"Natalie","email":"nhouston@usgs.gov","middleInitial":"A.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Adam L.","contributorId":28944,"corporation":false,"usgs":true,"family":"Foster","given":"Adam","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487215,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148653,"text":"70148653 - 2014 - Nocturnal field use by fall migrating American woodcock in the Delta of Arkansas","interactions":[],"lastModifiedDate":"2015-07-13T11:07:55","indexId":"70148653","displayToPublicDate":"2014-02-01T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Nocturnal field use by fall migrating American woodcock in the Delta of Arkansas","docAbstract":"<p>The American woodcock (<i>Scolopax minor</i>) population has declined since the late 1960s across its range and is now considered a species of special concern. Research on woodcock habitat use during migration and migratory routes through the Central Flyway has been limited. We assessed woodcock phenology, estimated density, and nocturnal habitat use in fields on public lands in the lower Mississippi Alluvial Valley portion of Arkansas during November and December of 2010 and 2011. We used all-terrain vehicles to survey woodcock along transects in 67 fields of 8 field types. We analyzed data using hierarchical distance sampling. We detected woodcock from the first week in November through the third week in December but in low numbers. We did not detect woodcock in millet or rice fields, whereas woodcock had the highest estimated densities in unharvested soybeans. All other crop type-post-harvest management combinations had low woodcock densities. We did not detect woodcock in fields &lt;8 ha or &gt;40 ha. Woodcock in the lower Mississippi Alluvial Valley may benefit from management for unharvested soybean fields of moderate size (approx. 8-40ha).</p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.655","collaboration":"Unites States Fish and Wildlife Service Region IV","usgsCitation":"Krementz, D.G., Crossett, R., and Lehnen, S.E., 2014, Nocturnal field use by fall migrating American woodcock in the Delta of Arkansas: Journal of Wildlife Management, v. 78, no. 2, p. 264-272, https://doi.org/10.1002/jwmg.655.","productDescription":"9 p.","startPage":"264","endPage":"272","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045160","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473186,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.655","text":"Publisher Index Page"},{"id":305678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-03","publicationStatus":"PW","scienceBaseUri":"55a4e143e4b0183d66e4539e","contributors":{"authors":[{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crossett, Richard II","contributorId":145587,"corporation":false,"usgs":false,"family":"Crossett","given":"Richard","suffix":"II","email":"","affiliations":[],"preferred":false,"id":564708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lehnen, Sarah E.","contributorId":145588,"corporation":false,"usgs":false,"family":"Lehnen","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":564709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70134286,"text":"70134286 - 2014 - Reconstruction of historic sea ice conditions in a sub-Arctic lagoon","interactions":[],"lastModifiedDate":"2020-12-23T15:06:17.380411","indexId":"70134286","displayToPublicDate":"2014-02-01T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1264,"text":"Cold Regions Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Reconstruction of historic sea ice conditions in a sub-Arctic lagoon","docAbstract":"<p><span>Historical sea ice conditions were reconstructed for Izembek Lagoon, Bering Sea, Alaska. This lagoon is a crucial staging area during migration for numerous species of avian migrants and a major eelgrass (</span><i>Zostera marina</i><span>) area important to a variety of marine and terrestrial organisms, especially Pacific Flyway black brant geese (</span><i>Branta bernicla nigricans</i><span>). Ice cover is a common feature of the lagoon in winter, but appears to be declining, which has implications for eelgrass distribution and abundance, and its use by wildlife. We evaluated ice conditions from a model based on degree days, calibrated to satellite observations, to estimate distribution and long-term trends in ice conditions in Izembek Lagoon. Model results compared favorably with ground observations and 26</span><span>&nbsp;</span><span>years of satellite data, allowing ice conditions to be reconstructed back to 1943. Specifically, periods of significant (limited access to eelgrass areas) and severe (almost complete ice coverage of the lagoon) ice conditions could be identified. The number of days of severe ice within a single season ranged from 0 (e.g., 2001) to ≥</span><span>&nbsp;</span><span>67 (e.g., 2000). We detected a slight long-term negative trend in ice conditions, superimposed on high inter-annual variability in seasonal aggregate ice conditions. Based on reconstructed ice conditions, the seasonally cumulative number of significant or severe ice days correlated linearly with mean air temperature from January until March. Further, air temperature at Izembek Lagoon was correlated with wind direction, suggesting that ice conditions in Izembek Lagoon were associated with synoptic-scale weather patterns. Methods employed in this analysis may be transferable to other coastal locations in the Arctic.</span></p>","language":"English","publisher":"Elsevier Science Pub. Co.","publisherLocation":"New York, NY","doi":"10.1016/j.coldregions.2013.10.011","usgsCitation":"Petrich, C., Tivy, A.C., and Ward, D.H., 2014, Reconstruction of historic sea ice conditions in a sub-Arctic lagoon: Cold Regions Science and Technology, v. 98, p. 55-62, https://doi.org/10.1016/j.coldregions.2013.10.011.","productDescription":"8 p.","startPage":"55","endPage":"62","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051278","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473187,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11250/2640237","text":"External Repository"},{"id":296375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Izembek Lagoon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.95196533203125,\n              55.149057997600714\n            ],\n            [\n              -162.8009033203125,\n              55.20395325785898\n            ],\n            [\n              -162.6361083984375,\n              55.34788906283772\n            ],\n            [\n              -162.542724609375,\n              55.346327347039605\n            ],\n            [\n              -162.48229980468747,\n              55.455498798971156\n            ],\n            [\n              -162.49053955078125,\n              55.471070112315985\n            ],\n            [\n              -162.6031494140625,\n              55.45082620586557\n            ],\n            [\n              -162.74322509765625,\n              55.4040698270061\n            ],\n            [\n              -162.91900634765622,\n              55.33695575893227\n            ],\n            [\n              -163.09204101562497,\n              55.189844554768065\n            ],\n            [\n              -163.08929443359375,\n              55.16161215198786\n            ],\n            [\n              -162.95196533203125,\n              55.149057997600714\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2cfe4b09357f05f8a6c","contributors":{"authors":[{"text":"Petrich, Chris","contributorId":127646,"corporation":false,"usgs":false,"family":"Petrich","given":"Chris","email":"","affiliations":[],"preferred":false,"id":526084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tivy, Adrienne C.","contributorId":127647,"corporation":false,"usgs":false,"family":"Tivy","given":"Adrienne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":526085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":525789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70102295,"text":"70102295 - 2014 - A radiogenic isotope tracer study of transatlantic dust transport from Africa to the Caribbean","interactions":[],"lastModifiedDate":"2014-04-22T09:54:15","indexId":"70102295","displayToPublicDate":"2014-02-01T09:45:49","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"A radiogenic isotope tracer study of transatlantic dust transport from Africa to the Caribbean","docAbstract":"Many studies have suggested that long-range transport of African desert dusts across the Atlantic Ocean occurs, delivering key nutrients and contributing to fertilization of the Amazon rainforest. Here we utilize radiogenic isotope tracers – Sr, Nd and Pb – to derive the provenance, local or remote, and pathways of dust transport from Africa to the Caribbean. Atmospheric total suspended particulate (TSP) matter was collected in 2008 on quartz fibre filters, from both sides of the Atlantic Ocean at three different locations: in Mali (12.6°N, 8.0°W; 555 m a.s.l.), Tobago (11.3°N, 60.5°W; 329 m a.s.l.) and the U.S. Virgin Islands (17.7°N, 64.6°W; 27 m a.s.l.). Both the labile phase, representative of the anthropogenic signal, and the refractory detrital silicate fraction were analysed. Dust deposits and soils from around the sampling sites were measured as well to assess the potential contribution from local sources to the mineral dust collected. The contribution from anthropogenic sources of Pb was predominant in the labile, leachate phase. The overall similarity in Pb isotope signatures found in the leachates is attributed to a common African source of anthropogenic Pb, with minor inputs from other sources, such as from Central and South America. The Pb, Sr and Nd isotopic compositions in the silicate fraction were found to be systematically more radiogenic than those in the corresponding labile phases. In contrast, Nd and Sr isotopic compositions from Mali, Tobago, and the Virgin Islands are virtually identical in both leachates and residues. Comparison with existing literature data on Saharan and Sahelian sources constrains the origin of summer dust transported to the Caribbean to mainly originate from the Sahel region, with some contribution from northern Saharan sources. The source regions derived from the isotope data are consistent with 7-day back-trajectory analyses, demonstrating the usefulness of radiogenic isotopes in tracing dust provenance and atmospheric transport.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2013.10.021","usgsCitation":"Kumar, A., Abouchami, W., Galer, S., Garrison, V., Williams, E., and Andreae, M., 2014, A radiogenic isotope tracer study of transatlantic dust transport from Africa to the Caribbean: Atmospheric Environment, v. 82, p. 130-143, https://doi.org/10.1016/j.atmosenv.2013.10.021.","productDescription":"14 p.","startPage":"130","endPage":"143","numberOfPages":"14","ipdsId":"IP-049234","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286481,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.atmosenv.2013.10.021"}],"country":"Mali;Tobago;U.S. Virgin Islands","otherGeospatial":"Africa;Atlantic Ocean;Caribbean;Sahara;Sahel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.0,-20.0 ], [ -80.0,40.0 ], [ 45.0,40.0 ], [ 45.0,-20.0 ], [ -80.0,-20.0 ] ] ] } } ] }","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578f60e4b0938066bc81af","contributors":{"authors":[{"text":"Kumar, A.","contributorId":16140,"corporation":false,"usgs":true,"family":"Kumar","given":"A.","affiliations":[],"preferred":false,"id":492905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abouchami, W.","contributorId":103886,"corporation":false,"usgs":true,"family":"Abouchami","given":"W.","email":"","affiliations":[],"preferred":false,"id":492909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galer, S.J.G.","contributorId":36860,"corporation":false,"usgs":true,"family":"Galer","given":"S.J.G.","email":"","affiliations":[],"preferred":false,"id":492907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrison, V.H.","contributorId":70731,"corporation":false,"usgs":true,"family":"Garrison","given":"V.H.","email":"","affiliations":[],"preferred":false,"id":492908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, E.","contributorId":15560,"corporation":false,"usgs":true,"family":"Williams","given":"E.","affiliations":[],"preferred":false,"id":492904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andreae, M.O.","contributorId":29311,"corporation":false,"usgs":true,"family":"Andreae","given":"M.O.","email":"","affiliations":[],"preferred":false,"id":492906,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118020,"text":"70118020 - 2014 - Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north","interactions":[],"lastModifiedDate":"2014-07-25T09:06:42","indexId":"70118020","displayToPublicDate":"2014-02-01T09:04:24","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north","docAbstract":"<p>Species distribution models have often been hampered by poor local species data, reliance on coarse-scale climate predictors and the assumption that species–environment relationships, even with non-proximate predictors, are consistent across geographical space. Yet locally accurate maps of invasive species, such as the Africanized honeybee (AHB) in North America, are needed to support conservation efforts. Current AHB range maps are relatively coarse and are inconsistent with observed data. Our aim was to improve distribution maps using more proximate predictors (phenology) and using regional models rather than one across the entire range of interest to explore potential differences in drivers.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity and Distributions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/ddi.12143","usgsCitation":"Jarnevich, C.S., Esaias, W.E., Ma, P.L., Morisette, J., Nickeson, J.E., Stohlgren, T.J., Holcombe, T.R., Nightingale, J.M., Wolfe, R.E., and Tan, B., 2014, Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north: Diversity and Distributions, v. 20, no. 2, p. 193-201, https://doi.org/10.1111/ddi.12143.","productDescription":"9 p.","startPage":"193","endPage":"201","numberOfPages":"9","costCenters":[],"links":[{"id":473191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12143","text":"Publisher Index Page"},{"id":290965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290964,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ddi.12143"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-11-09","publicationStatus":"PW","scienceBaseUri":"57f7f164e4b0bc0bec09fd56","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esaias, Wayne E.","contributorId":12379,"corporation":false,"usgs":true,"family":"Esaias","given":"Wayne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Peter L.A.","contributorId":71484,"corporation":false,"usgs":true,"family":"Ma","given":"Peter","email":"","middleInitial":"L.A.","affiliations":[],"preferred":false,"id":496133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morisette, Jeffery T. 0000-0002-0483-0082","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":39297,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffery T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nickeson, Jaime E.","contributorId":51659,"corporation":false,"usgs":true,"family":"Nickeson","given":"Jaime","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496125,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nightingale, Joanne M.","contributorId":55347,"corporation":false,"usgs":true,"family":"Nightingale","given":"Joanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":496131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wolfe, Robert E.","contributorId":56560,"corporation":false,"usgs":true,"family":"Wolfe","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tan, Bin","contributorId":76232,"corporation":false,"usgs":true,"family":"Tan","given":"Bin","email":"","affiliations":[],"preferred":false,"id":496134,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70047815,"text":"70047815 - 2014 - Increased flexibility for modeling telemetry and nest-survival data using the multistate framework","interactions":[],"lastModifiedDate":"2014-03-18T15:55:49","indexId":"70047815","displayToPublicDate":"2014-02-01T08:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Increased flexibility for modeling telemetry and nest-survival data using the multistate framework","docAbstract":"Although telemetry is one of the most common tools used in the study of wildlife, advances in the analysis of telemetry data have lagged compared to progress in the development of telemetry devices. We demonstrate how standard known-fate telemetry and related nest-survival data analysis models are special cases of the more general multistate framework. We present a short theoretical development, and 2 case examples regarding the American black duck and the mallard. We also present a more complex lynx data analysis. Although not necessary in all situations, the multistate framework provides additional flexibility to analyze telemetry data, which may help analysts and biologists better deal with the vagaries of real-world data collection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.660","usgsCitation":"Devineau, O., Kendall, W.L., Doherty, P.F., Shenk, T.M., White, G.C., Lukacs, P.M., and Burnham, K.P., 2014, Increased flexibility for modeling telemetry and nest-survival data using the multistate framework: Journal of Wildlife Management, v. 78, no. 2, p. 224-230, https://doi.org/10.1002/jwmg.660.","productDescription":"7 P.","startPage":"224","endPage":"230","numberOfPages":"7","ipdsId":"IP-042596","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":284190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284189,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.660"}],"volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-13","publicationStatus":"PW","scienceBaseUri":"5351704fe4b05569d805a2e9","contributors":{"authors":[{"text":"Devineau, Olivier","contributorId":7991,"corporation":false,"usgs":true,"family":"Devineau","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":483040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":483039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doherty, Paul F. Jr.","contributorId":37636,"corporation":false,"usgs":false,"family":"Doherty","given":"Paul","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":483041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shenk, Tanya M.","contributorId":82451,"corporation":false,"usgs":true,"family":"Shenk","given":"Tanya","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Gary C.","contributorId":66831,"corporation":false,"usgs":false,"family":"White","given":"Gary","email":"","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":483042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lukacs, Paul M.","contributorId":101240,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burnham, Kenneth P.","contributorId":95025,"corporation":false,"usgs":true,"family":"Burnham","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":483044,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70187416,"text":"70187416 - 2014 - Cross-scale interactions: Quantifying multi-scaled cause–effect relationships in macrosystems","interactions":[],"lastModifiedDate":"2018-04-02T16:36:42","indexId":"70187416","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Cross-scale interactions: Quantifying multi-scaled cause–effect relationships in macrosystems","docAbstract":"<p><span>Ecologists are increasingly discovering that ecological processes are made up of components that are multi-scaled in space and time. Some of the most complex of these processes are cross-scale interactions (CSIs), which occur when components interact across scales. When undetected, such interactions may cause errors in extrapolation from one region to another. CSIs, particularly those that include a regional scaled component, have not been systematically investigated or even reported because of the challenges of acquiring data at sufficiently broad spatial extents. We present an approach for quantifying CSIs and apply it to a case study investigating one such interaction, between local and regional scaled land-use drivers of lake phosphorus. Ultimately, our approach for investigating CSIs can serve as a basis for efforts to understand a wide variety of multi-scaled problems such as climate change, land-use/land-cover change, and invasive species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/120366","usgsCitation":"Soranno, P.A., Cheruvelil, K.S., Bissell, E.G., Bremigan, M.T., Downing, J., Fergus, C.E., Filstrup, C.T., Henry, E.N., Lottig, N.R., Stanley, E.H., Stow, C., Tan, P., Wagner, T., and Webster, K.E., 2014, Cross-scale interactions: Quantifying multi-scaled cause–effect relationships in macrosystems: Frontiers in Ecology and the Environment, v. 12, no. 1, p. 65-73, https://doi.org/10.1890/120366.","productDescription":"9 p.","startPage":"65","endPage":"73","ipdsId":"IP-041581","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473194,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70189679,"text":"70189679 - 2014 - Evaluation of wastewater contaminant transport in surface waters using verified Lagrangian sampling","interactions":[],"lastModifiedDate":"2018-09-18T16:50:42","indexId":"70189679","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of wastewater contaminant transport in surface waters using verified Lagrangian sampling","docAbstract":"<p><span>Contaminants released from wastewater treatment plants can persist in surface waters for substantial distances. Much research has gone into evaluating the fate and transport of these contaminants, but this work has often assumed constant flow from wastewater treatment plants. However, effluent discharge commonly varies widely over a 24-hour period, and this variation controls contaminant loading and can profoundly influence interpretations of environmental data. We show that methodologies relying on the normalization of downstream data to conservative elements can give spurious results, and should not be used unless it can be verified that the same parcel of water was sampled. Lagrangian sampling, which in theory samples the same water parcel as it moves downstream (the Lagrangian parcel), links hydrologic and chemical transformation processes so that the in-stream fate of wastewater contaminants can be quantitatively evaluated. However, precise Lagrangian sampling is difficult, and small deviations – such as missing the Lagrangian parcel by less than 1</span><span>&nbsp;</span><span>h – can cause large differences in measured concentrations of all dissolved compounds at downstream sites, leading to erroneous conclusions regarding in-stream processes controlling the fate and transport of wastewater contaminants. Therefore, we have developed a method termed “verified Lagrangian” sampling, which can be used to determine if the Lagrangian parcel was actually sampled, and if it was not, a means for correcting the data to reflect the concentrations which would have been obtained had the Lagrangian parcel been sampled. To apply the method, it is necessary to have concentration data for a number of conservative constituents from the upstream, effluent, and downstream sites, along with upstream and effluent concentrations that are constant over the short-term (typically 2–4</span><span>&nbsp;</span><span>h). These corrections can subsequently be applied to all data, including non-conservative constituents. Finally, we show how data from other studies can be corrected.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.09.079","usgsCitation":"Antweiler, R.C., Writer, J.H., and Murphy, S.F., 2014, Evaluation of wastewater contaminant transport in surface waters using verified Lagrangian sampling: Science of the Total Environment, v. 470-471, p. 551-558, https://doi.org/10.1016/j.scitotenv.2013.09.079.","productDescription":"8 p.","startPage":"551","endPage":"558","ipdsId":"IP-042105","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"470-471","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fbce4b0d1f9f065a8fd","contributors":{"authors":[{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Writer, Jeffrey H. jwriter@usgs.gov","contributorId":1393,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","middleInitial":"H.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":705758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":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":705759,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70131489,"text":"70131489 - 2014 - Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET","interactions":[],"lastModifiedDate":"2021-11-26T14:20:47.474944","indexId":"70131489","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET","docAbstract":"<p>Continental Africa has the highest volume of water stored in wetlands, large lakes, reservoirs, and rivers, yet it suffers from problems such as water availability and access. With climate change intensifying the hydrologic cycle and altering the distribution and frequency of rainfall, the problem of water availability and access will increase further. Famine&nbsp;Early Warning Systems&nbsp;Network (FEWS NET) funded by the United States Agency for International Development (USAID) has initiated a large-scale project to monitor small to medium surface water points in Africa. Under this project, multisource satellite data and hydrologic modeling techniques are integrated to monitor several hundreds of small to medium surface water points in Africa. This approach has been already tested to operationally monitor 41 water points in East Africa. The validation of modeled scaled depths with field-installed gauge data demonstrated the ability of the model to capture both the spatial patterns and seasonal variations. Modeled scaled estimates captured up to 60 % of the observed gauge variability with a mean root-mean-square error (RMSE) of 22 %. The data on relative water level, precipitation, and evapotranspiration (ETo) for water points in&nbsp;East and West&nbsp;Africa were modeled since 1998 and current information is being made available in near-real time. This chapter presents the approach, results from the East African study, and the first phase of expansion activities in the West Africa region. The water point monitoring network will be further expanded to cover much of sub-Saharan Africa. The goal of this study is to provide timely information on the water availability that would support already established FEWS NET activities in Africa. This chapter also presents the potential improvements in modeling approach to be implemented during future expansion in Africa.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Nile River Basin","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-02720-3_5","usgsCitation":"Velpuri, N.M., Senay, G.B., Rowland, J., Verdin, J.P., and Alemu, H., 2014, Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET, chap. 5 <i>of</i> Nile River Basin, p. 69-95, https://doi.org/10.1007/978-3-319-02720-3_5.","productDescription":"27 p.","startPage":"69","endPage":"95","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052450","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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G.","contributorId":127537,"corporation":false,"usgs":false,"family":"Setegn","given":"Shimelis","email":"","middleInitial":"G.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":525614,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":4441,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":521261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":3108,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alemu, Henok","contributorId":124527,"corporation":false,"usgs":false,"family":"Alemu","given":"Henok","email":"","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":521262,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70059286,"text":"ds810 - 2014 - Compilation of hydrologic data for White Sands pupfish habitat and nonhabitat areas, northern Tularosa Basin, White Sands Missile Range and Holloman Air Force Base, New Mexico, 1911-2008","interactions":[],"lastModifiedDate":"2014-01-31T14:55:56","indexId":"ds810","displayToPublicDate":"2014-01-31T14:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"810","title":"Compilation of hydrologic data for White Sands pupfish habitat and nonhabitat areas, northern Tularosa Basin, White Sands Missile Range and Holloman Air Force Base, New Mexico, 1911-2008","docAbstract":"<p>The White Sands pupfish (<i>Cyprinodon tularosa</i>), listed as threatened by the State of New Mexico and as a Federal species of concern, is endemic to the Tularosa Basin, New Mexico. Because water quality can affect pupfish and the environmental conditions of their habitat, a comprehensive compilation of hydrologic data for pupfish habitat and nonhabitat areas in the northern Tularosa Basin was undertaken by the U.S. Geological Survey in cooperation with White Sands Missile Range.</p>\n<br/>\n<p>The four locations within the Tularosa Basin that are known pupfish habitat areas are the Salt Creek, Malpais Spring and Malpais Salt Marsh, Main Mound Spring, and Lost River habitat areas. Streamflow data from the Salt Creek near Tularosa streamflow-gaging station indicated that the average annual mean streamflow and average annual total streamflow for water years 1995–2008 were 1.35 cubic feet per second (ft<sup>3</sup>/s) and 983 acre-feet, respectively. Periods of no flow were observed in water years 2002 through 2006. Dissolved-solids concentrations in Salt Creek samples collected from 1911 through 2007 ranged from 2,290 to 66,700 milligrams per liter (mg/L).</p>\n<br/>\n<p>The average annual mean streamflow and average annual total streamflow at the Malpais Spring near Oscura streamflow-gaging station for water years 2003–8 were 6.81 ft<sup>3</sup>/s and 584 acre-feet, respectively. Dissolved-solids concentrations for 16 Malpais Spring samples ranged from 3,882 to 5,500 mg/L. Isotopic data for a Malpais Spring near Oscura water sample collected in 1982 indicated that the water was more than 27,900 years old.</p>\n<br/>\n<p>Streamflow from Main Mound Spring was estimated at 0.007 ft<sup>3</sup>/s in 1955 and 1957 and ranged from 0.02 to 0.07 ft<sup>3</sup>/s from 1996 to 2001. Dissolved-solids concentrations in samples collected between 1955 and 2007 ranged from an estimated 3,760 to 4,240 mg/L in the upper pond and 4,840 to 5,120 mg/L in the lower pond. Isotopic data for a Main Mound Spring water sample collected in 1982 indicated that the water was about 19,600 years old.</p>\n<br/>\n<p>Dissolved-solids concentrations of Lost River samples collected from 1984 to 1999 ranged from 8,930 to 118,000 (estimated) mg/L.</p>\n<br/>\n<p>Dissolved-solids concentrations in samples from nonhabitat area sites ranged from 1,740 to 54,200 (estimated) mg/L. In general, water collected from pupfish nonhabitat area sites tends to have larger proportions of calcium, magnesium, and sulfate than water from pupfish habitat area sites. Water from springs associated with mounds in pupfish nonhabitat areas was of a similar type (calcium-sulfate) to water associated with mounds in pupfish habitat areas. Alkali Spring had a sodium-chloride water type, but the proportions of sodium-chloride and magnesium-sulfate are unique as compared to samples from other sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds810","collaboration":"Prepared in cooperation with White Sands Missile Range","usgsCitation":"Naus, C., Myers, R.G., Saleh, D., and Myers, N.C., 2014, Compilation of hydrologic data for White Sands pupfish habitat and nonhabitat areas, northern Tularosa Basin, White Sands Missile Range and Holloman Air Force Base, New Mexico, 1911-2008: U.S. Geological Survey Data Series 810, Report: v, 35 p.; 2 Appendixes, https://doi.org/10.3133/ds810.","productDescription":"Report: v, 35 p.; 2 Appendixes","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1911-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-014607","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":281855,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/810/"},{"id":281856,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/810/pdf/ds810.pdf"},{"id":281857,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/810/downloads/ds810_appendix1.pdf"},{"id":281866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds810.jpg"},{"id":281858,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/810/downloads/ds810_appendix2.xlsx"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"New Mexico","otherGeospatial":"Lost River;Main Mound Spring;Malpais Salt Marsh;Malpais Spring;Salt Creek;Tularosa Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.6056,31.241 ], [ -107.6056,34.289 ], [ -105.3836,34.289 ], [ -105.3836,31.241 ], [ -107.6056,31.241 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd522fe4b0b290850f45e6","contributors":{"authors":[{"text":"Naus, C.A.","contributorId":47693,"corporation":false,"usgs":true,"family":"Naus","given":"C.A.","affiliations":[],"preferred":false,"id":487653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, R. G.","contributorId":30642,"corporation":false,"usgs":true,"family":"Myers","given":"R.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":487652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saleh, D.K. 0000-0002-1406-9303","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":82748,"corporation":false,"usgs":true,"family":"Saleh","given":"D.K.","affiliations":[],"preferred":false,"id":487654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myers, N. C.","contributorId":13622,"corporation":false,"usgs":true,"family":"Myers","given":"N.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":487651,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70074330,"text":"gip155 - 2014 - Flood-tracking chart for the Withlacoochee and Little River Basins in south-central Georgia and northern Florida","interactions":[],"lastModifiedDate":"2016-12-07T12:13:36","indexId":"gip155","displayToPublicDate":"2014-01-31T12:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"155","title":"Flood-tracking chart for the Withlacoochee and Little River Basins in south-central Georgia and northern Florida","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with other Federal, State, and local agencies, operates a flood-monitoring system in the Withlacoochee and Little River Basins. This system is a network of automated river stage stations (ten are shown on page 2 of this publication) that transmit stage data through satellite telemetry to the USGS in Atlanta, Georgia and the National Weather Service (NWS) in Peachtree City, Georgia. During floods, the public and emergency response agencies use this information to make decisions about road closures, evacuations, and other public safety issues.</p>\n<br/>\n<p>This Withlacoochee and Little River Basins flood-tracking chart can be used by local citizens and emergency response personnel to record the latest river stage and predicted flood-crest information along the Withlacoochee River, Little River, and Okapilco Creek in south-central Georgia and northern Florida. By comparing the current stage (water-surface level above a datum) and predicted flood crest to the recorded peak stages of previous floods, emergency response personnel and residents can make informed decisions concerning the threat to life and property.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip155","collaboration":"Prepared in cooperation with the City of Valdosta, Lowndes County, Suwannee River Water Management District, and National Weather Service","usgsCitation":"Gotvald, A.J., McCallum, B.E., and Painter, J.A., 2014, Flood-tracking chart for the Withlacoochee and Little River Basins in south-central Georgia and northern Florida: U.S. Geological Survey General Information Product 155, 2 p., https://doi.org/10.3133/gip155.","productDescription":"2 p.","numberOfPages":"2","ipdsId":"IP-051580","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":281834,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/0155/"},{"id":281835,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0155/pdf/gip-155.pdf"},{"id":281836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip155.jpg"}],"datum":"North American Vertical Datum of 1988","country":"United States","state":"Florida, Georgia","otherGeospatial":"Little River Basin, Okapilco Creek, Withlacoochee River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.736458,30.26011 ], [ -83.736458,31.854235 ], [ -83.034668,31.854235 ], [ -83.034668,30.26011 ], [ -83.736458,30.26011 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd59b7e4b0b290850f8e4a","contributors":{"authors":[{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCallum, Brian E. 0000-0002-8935-0343 bemccall@usgs.gov","orcid":"https://orcid.org/0000-0002-8935-0343","contributorId":1591,"corporation":false,"usgs":true,"family":"McCallum","given":"Brian","email":"bemccall@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70074531,"text":"ofr20141016 - 2014 - Methow and Columbia Rivers studies: summary of data collection, comparison of database structure and habitat protocols, and impact of additional PIT tag interrogation systems to survival estimates, 2008-2012","interactions":[],"lastModifiedDate":"2014-01-31T12:09:04","indexId":"ofr20141016","displayToPublicDate":"2014-01-31T12:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1016","title":"Methow and Columbia Rivers studies: summary of data collection, comparison of database structure and habitat protocols, and impact of additional PIT tag interrogation systems to survival estimates, 2008-2012","docAbstract":"The U.S. Geological Survey (USGS) received funding from the Bureau of Reclamation (Reclamation) to provide monitoring and evaluation on the effectiveness of stream restoration efforts by Reclamation in the Methow River watershed. This monitoring and evaluation program is designed to partially fulfill Reclamation’s part of the 2008 Biological Opinion for the Federal Columbia River Power System that includes a Reasonable and Prudent Alternative (RPA) to protect listed salmon and steelhead across their life cycle. The target species in the Methow River for the restoration effort include Upper Columbia River (UCR) spring Chinook salmon (Oncorhynchus tshawytscha), UCR steelhead (Oncorhynchus mykiss), and bull trout (Salvelinus confluentus), which are listed as threatened or endangered under the Endangered Species Act.\n\nSince 2004, the USGS has completed two projects of monitoring and evaluation in the Methow River watershed. The first project focused on the evaluation of barrier removal and steelhead recolonization in Beaver Creek with Libby and Gold Creeks acting as controls. The majority of this work was completed by 2008, although some monitoring continued through 2012.\n\nThe second project (2008–2012) evaluated the use and productivity of the middle Methow River reach (rkm 65–80) before the onset of multiple off-channel restoration projects planned by the Reclamation and Yakama Nation. The upper Methow River (upstream of rkm 80) and Chewuch River serve as reference reaches and the Methow River downstream of the Twisp River (downstream of rkm 65) serves as a control reach. Restoration of the M2 reach was initiated in 2012 and will be followed by a multi-year, intensive post-evaluation period.\n\nThis report is comprised of three chapters covering different aspects of the work completed by the USGS. The first chapter is a review of data collection that documents the methods used and summarizes the work done by the USGS from 2008 through 2012. This data summary was designed to show some initial analysis and to disseminate summary information that could potentially be used in ongoing modeling efforts by USGS, Reclamation, and University of Idaho. The second chapter documents the database of fish and habitat data collected by USGS from 2004 through 2012 and compares USGS habitat protocols to the Columbia Habitat Monitoring Program (CHaMP) protocol. The third chapter is a survival analysis of fish moving through Passive Integrated Transponder (PIT) tag interrogation systems in the Methow and Columbia Rivers. It examines the effects of adding PIT tags and/or PIT tag interrogation systems on survival estimates of juvenile steelhead and Chinook salmon.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141016","issn":"2331-1258","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Martens, K.D., Tibbits, W.T., Watson, G.A., Newsom, M.A., and Connolly, P., 2014, Methow and Columbia Rivers studies: summary of data collection, comparison of database structure and habitat protocols, and impact of additional PIT tag interrogation systems to survival estimates, 2008-2012: U.S. Geological Survey Open-File Report 2014-1016, Report: x, 92 p.; 12 appendices, https://doi.org/10.3133/ofr20141016.","productDescription":"Report: x, 92 p.; 12 appendices","numberOfPages":"106","onlineOnly":"Y","temporalStart":"2008-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-051467","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":281830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141016.png"},{"id":281828,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1016/"},{"id":281829,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1016/pdf/ofr2014-1016.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Methow River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.2117,48.0532 ], [ -120.2117,48.4789 ], [ -119.9268,48.4789 ], [ -119.9268,48.0532 ], [ -120.2117,48.0532 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd66f5e4b0b29085101134","contributors":{"authors":[{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tibbits, Wesley T. wtibbits@usgs.gov","contributorId":4803,"corporation":false,"usgs":true,"family":"Tibbits","given":"Wesley","email":"wtibbits@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":489609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Grace A. gwatson@usgs.gov","contributorId":5435,"corporation":false,"usgs":true,"family":"Watson","given":"Grace","email":"gwatson@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":489610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newsom, Michael A.","contributorId":36855,"corporation":false,"usgs":true,"family":"Newsom","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":489608,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70073833,"text":"ds820 - 2014 - Nutrient load summaries for major lakes and estuaries of the Eastern United States, 2002","interactions":[],"lastModifiedDate":"2024-04-18T13:52:08.876274","indexId":"ds820","displayToPublicDate":"2014-01-31T10:38:54","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"820","title":"Nutrient load summaries for major lakes and estuaries of the Eastern United States, 2002","docAbstract":"Nutrient enrichment of lakes and estuaries across the Nation is widespread. Nutrient enrichment can stimulate excessive plant and algal growth and cause a number of undesirable effects that impair aquatic life and recreational activities and can also result in economic effects. Understanding the amount of nutrients entering lakes and estuaries, the physical characteristics affecting the nutrient processing within these receiving waterbodies, and the natural and manmade sources of nutrients is fundamental to the development of effective nutrient reduction strategies. To improve this understanding, sources and stream transport of nutrients to 255 major lakes and 64 estuaries in the Eastern United States were estimated using Spatially Referenced Regression on Watershed attributes (SPARROW) nutrient models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds820","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Moorman, M.C., Hoos, A.B., Bricker, S.B., Moore, R.B., García, A., and Ator, S.W., 2014, Nutrient load summaries for major lakes and estuaries of the Eastern United States, 2002: U.S. Geological Survey Data Series 820, Report: iv, 10 p.; Table 3A & 3B; 2 Appendices, https://doi.org/10.3133/ds820.","productDescription":"Report: iv, 10 p.; Table 3A & 3B; 2 Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049636","costCenters":[{"id":476,"text":"North Carolina Water Science 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abhoos@usgs.gov","contributorId":2236,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"abhoos@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":489103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bricker, Suzanne B.","contributorId":64555,"corporation":false,"usgs":false,"family":"Bricker","given":"Suzanne","email":"","middleInitial":"B.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":489106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Richard B. rmoore@usgs.gov","contributorId":1464,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","email":"rmoore@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"García, Ana María","contributorId":9172,"corporation":false,"usgs":true,"family":"García","given":"Ana María","affiliations":[],"preferred":false,"id":489105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ator, Scott W. 0000-0002-9186-4837 swator@usgs.gov","orcid":"https://orcid.org/0000-0002-9186-4837","contributorId":781,"corporation":false,"usgs":true,"family":"Ator","given":"Scott","email":"swator@usgs.gov","middleInitial":"W.","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":489101,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70072584,"text":"ds819 - 2014 - Benthic-invertebrate, fish-community, and streambed-sediment-chemistry data for streams in the Indianapolis metropolitan area, Indiana, 2009–2012","interactions":[],"lastModifiedDate":"2014-02-03T10:18:46","indexId":"ds819","displayToPublicDate":"2014-01-31T10:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"819","title":"Benthic-invertebrate, fish-community, and streambed-sediment-chemistry data for streams in the Indianapolis metropolitan area, Indiana, 2009–2012","docAbstract":"Aquatic-biology and sediment-chemistry data were collected at seven sites on the White River and at six tributary sites in the Indianapolis metropolitan area of Indiana during the period 2009 through 2012. Data collected included benthic-invertebrate and fish-community information and concentrations of metals, insecticides, herbicides, and semivolatile organic compounds adsorbed to streambed sediments. A total of 120 benthic-invertebrate samples were collected, of which 16 were replicate samples. A total of 26 fish-community samples were collected in 2010 and 2012. Thirty streambed-sediment chemistry samples were collected in 2009 and 2011, of which four were concurrent duplicate samples","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds819","collaboration":"Prepared in cooperation with the Indianapolis Department of Public Works and CWA Authority, Inc.","usgsCitation":"Voelker, D.C., 2014, Benthic-invertebrate, fish-community, and streambed-sediment-chemistry data for streams in the Indianapolis metropolitan area, Indiana, 2009–2012: U.S. Geological Survey Data Series 819, Report: ix, 8 p.; 4 Appendices, https://doi.org/10.3133/ds819.","productDescription":"Report: ix, 8 p.; 4 Appendices","numberOfPages":"17","onlineOnly":"Y","ipdsId":"IP-035683","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":281808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds819.jpg"},{"id":281805,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0819/tables/ds819_table2"},{"id":281804,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0819/tables/ds819_table1"},{"id":281802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0819/"},{"id":281803,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0819/pdf/ds819.pdf"},{"id":281806,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0819/tables/ds819_table3"},{"id":281807,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0819/tables/ds819_table4"}],"country":"United States","state":"Indiana","city":"Indianapolis","otherGeospatial":"White River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.4,39.5 ], [ -86.4,40.0 ], [ -86.0,40.0 ], [ -86.0,39.5 ], [ -86.4,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4f34e4b0b290850f28fb","contributors":{"authors":[{"text":"Voelker, David C. dvoelker@usgs.gov","contributorId":278,"corporation":false,"usgs":true,"family":"Voelker","given":"David","email":"dvoelker@usgs.gov","middleInitial":"C.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488504,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70074638,"text":"70074638 - 2014 - A Great Lakes atmospheric mercury monitoring network: evaluation and design","interactions":[],"lastModifiedDate":"2014-01-31T09:10:27","indexId":"70074638","displayToPublicDate":"2014-01-31T09:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"A Great Lakes atmospheric mercury monitoring network: evaluation and design","docAbstract":"As many as 51 mercury (Hg) wet-deposition-monitoring sites from 4 networks were operated in 8 USA states and Ontario, Canada in the North American Great Lakes Region from 1996 to 2010. By 2013, 20 of those sites were no longer in operation and approximately half the geographic area of the Region was represented by a single Hg-monitoring site. In response, a Great Lakes Atmospheric Mercury Monitoring (GLAMM) network is needed as a framework for regional collaboration in Hg-deposition monitoring. The purpose of the GLAMM network is to detect changes in regional atmospheric Hg deposition related to changes in Hg emissions. An optimized design for the network was determined to be a minimum of 21 sites in a representative and approximately uniform geographic distribution. A majority of the active and historic Hg-monitoring sites in the Great Lakes Region are part of the National Atmospheric Deposition Program (NADP) Mercury Deposition Network (MDN) in North America and the GLAMM network is planned to be part of the MDN.\n\nTo determine an optimized network design, active and historic Hg-monitoring sites in the Great Lakes Region were evaluated with a rating system of 21 factors that included characteristics of the monitoring locations and interpretations of Hg data. Monitoring sites were rated according to the number of Hg emissions sources and annual Hg emissions in a geographic polygon centered on each site. Hg-monitoring data from the sites were analyzed for long-term averages in weekly Hg concentrations in precipitation and weekly Hg-wet deposition, and on significant temporal trends in Hg concentrations and Hg deposition. A cluster analysis method was used to group sites with similar variability in their Hg data in order to identify sites that were unique for explaining Hg data variability in the Region. The network design included locations in protected natural areas, urban areas, Great Lakes watersheds, and in proximity to areas with a high density of annual Hg emissions and areas with high average weekly Hg wet deposition. In a statistical analysis, relatively strong, positive correlations in the wet deposition of Hg and sulfate were shown for co-located NADP Hg-monitoring and acid-rain monitoring sites in the Region. This finding indicated that efficiency in regional Hg monitoring can be improved by adding new Hg monitoring to existing NADP acid-rain monitoring sites.\n\nImplementation of the GLAMM network design will require Hg-wet-deposition monitoring to be: (a) continued at 12 MDN sites active in 2013 and (b) restarted or added at 9 NADP sites where it is absent in 2013. Ongoing discussions between the states in the Great Lakes Region, the Lake Michigan Air Directors Consortium (a regional planning entity), the NADP, the U.S. Environmental Protection Agency, and the U.S. Geological Survey are needed for coordinating the GLAMM network.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2013.11.050","usgsCitation":"Risch, M.R., Kenski, D., Gay, and David, A., 2014, A Great Lakes atmospheric mercury monitoring network: evaluation and design: Atmospheric Environment, v. 85, p. 109-122, https://doi.org/10.1016/j.atmosenv.2013.11.050.","productDescription":"14 p.","startPage":"109","endPage":"122","numberOfPages":"14","ipdsId":"IP-040074","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":473200,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2013.11.050","text":"Publisher Index Page"},{"id":281787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281732,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.atmosenv.2013.11.050"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.0,35.0 ], [ -95.0,50.0 ], [ -70.0,50.0 ], [ -70.0,35.0 ], [ -95.0,35.0 ] ] ] } } ] }","volume":"85","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52ecc5e1e4b0e27c8af28a68","contributors":{"authors":[{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kenski, Donna M.","contributorId":101992,"corporation":false,"usgs":true,"family":"Kenski","given":"Donna M.","affiliations":[],"preferred":false,"id":489633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gay","contributorId":128216,"corporation":true,"usgs":false,"organization":"Gay","id":535625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"David, A.","contributorId":84270,"corporation":false,"usgs":true,"family":"David","given":"A.","email":"","affiliations":[],"preferred":false,"id":489631,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70073500,"text":"70073500 - 2014 - Assessing streamflow sensitivity to variations in glacier mass balance","interactions":[],"lastModifiedDate":"2018-08-24T11:29:38","indexId":"70073500","displayToPublicDate":"2014-01-30T13:47:00","publicationYear":"2014","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":"Assessing streamflow sensitivity to variations in glacier mass balance","docAbstract":"The mountains ringing the Gulf of Alaska (GOA) receive upwards of 4–8 m yr<sup>−1</sup> of precipitation (Simpson et al.2005; Weingartner et al. 2005; O’Neel 2012), much of which runs off into productive coastal waters. The alpine landscape is heavily glacierized, and storage and turnover of water by glaciers substantially influences the regional surface water balance (Neal et al. 2010). In turn, the land-to-ocean flux of freshwater impacts the biogeochemistry, physical oceanography, freshwater and marine ecology of the downstream components of the GOA ecosystem (e.g., Royer et al. 2001; Hood and Scott 2008). In this way, the links between terrestrial and ocean ecosystems along the GOA have widespread impacts on regional socioeconomic issues including water and hydropower resources, fish populations, and sea level change (Dorava and Milner 2000; Royer and Grosch 2006; Cherry et al. 2010; Gardner et al. 2013). Moreover, predicting future changes in physical, chemical and biological processes in near-shore ecosystems along the GOA hinges, in part, on developing a robust understanding of water storage and transfer by glaciers through streams to the ocean.\nGlacierized basins (i.e. presently ice covered as opposed to glaciated, or historically ice covered) are very efficient producers of runoff, yielding 2–10 times greater runoff than similarly sized, non-glacierized basins (Mayo 1984). The unique energy balance that characterizes these basins (Jansson et al. 2003; Hock 2005) results in substantial alterations to streamflow, even when fractional ice coverage is very small (Stahl and Moore 2006). Consistent and precise treatment of glacier runoff is key to accurate assessment of hydrologic, ecological and socioeconomic impacts, but previously used definitions for glacier runoff are variable. They include: 1) meltwater produced as negative annual mass balance (e.g., Fountain and Tangborn 1985); 2) storage changes in the monthly water budget, where solid precipitation is balanced by melt and evaporation (Huss 2011, concept #2); 3) meltwater derived from melting ice only (irrespective of melting snow or mass balance) (Nolin et al. 2010; Huss 2011, concept #1); 4) all meltwater derived from the glacier surface (Cogley et al. 2011, meltwater runoff); 5) total runoff from the glacier surface (meltwater runoff plus rain on the glacier) (Neal et al. 2010).\nTotal glacier runoff (Definitions 4 and 5 above) includes a contribution from annual mass balance, i.e. the sum of accumulation and ablation through a mass balance year (Definition 1), or what has historically been referred to as the “net” balance (Cogley et al. 2011). Indeed, annual balance has been shown to be an important driver of streamflow trends in glacierized basins, with periods of persistent negative annual balance resulting in statistically significant increases in streamflow (e.g., Pellicciotti et al. 2010). However, in maritime climates, anomalies in glacier runoff can be disconnected from annual balance because of the high variability in winter precipitation. For example, positive anomalies in winter accumulation can result in elevated levels of glacier runoff in times of positive annual mass balance (Thayyen and Gergan 2010).\nQuantifying the impacts of changing glacier geometries (annual balance) on glacier runoff is essential for predicting future changes in streamflow in glacierized basins. However, determining the role that this component plays in total glacier runoff (Definition 5) requires consistent measurements of seasonal (or shorter period) mass balances, measurements of precipitation at multiple locations within a basin, and streamflow measurements in close proximity to a glacier’s terminus. Practical and logistical challenges associated with assembling such data sets typically preclude such partitioning. As a result, most analyses of the relationship between annual mass balance and streamflow rely on some component of model output to compute glacier runoff (e.g. Huss et al. 2008; Kaser et al. 2010). Ultimately, developing an understanding of how total glacier runoff will change in the future is critical for predicting downstream ecological impacts associated with changes in riverine fluxes of water, sediment, and solutes (e.g., metals and nutrients) to near-shore coastal ecosystems.\nThe purpose of this paper is to evaluate relationships among seasonal and annual glacier mass balances, glacier runoff and streamflow in two glacierized basins in different climate settings. We use long-term glacier mass balance and streamflow datasets from the United States Geological Survey (USGS) Alaska Benchmark Glacier Program to compare and contrast glacier-streamflow interactions in a maritime climate (Wolverine Glacier) with those in a continental climate (Gulkana Glacier). Our overall goal is to improve our understanding of how glacier mass balance processes impact streamflow, ultimately improving our conceptual understanding of the future evolution of glacier runoff in continental and maritime climates.","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-1042-7","usgsCitation":"O’Neel, S., Hood, E., Arendt, A., and Sass, L., 2014, Assessing streamflow sensitivity to variations in glacier mass balance: Climatic Change, v. 123, no. 2, p. 329-341, https://doi.org/10.1007/s10584-013-1042-7.","productDescription":"13 p.","startPage":"329","endPage":"341","ipdsId":"IP-049370","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":473202,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-013-1042-7","text":"Publisher Index Page"},{"id":281844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281842,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-013-1042-7"}],"country":"United States","state":"Alaska","volume":"123","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-01-30","publicationStatus":"PW","scienceBaseUri":"53517024e4b05569d805a161","contributors":{"authors":[{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":488828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arendt, Anthony","contributorId":74661,"corporation":false,"usgs":true,"family":"Arendt","given":"Anthony","affiliations":[],"preferred":false,"id":488827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":488825,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70074653,"text":"70074653 - 2014 - Slip rate and tremor genesis in Cascadia","interactions":[],"lastModifiedDate":"2019-03-14T16:42:38","indexId":"70074653","displayToPublicDate":"2014-01-30T08:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Slip rate and tremor genesis in Cascadia","docAbstract":"At many plate boundaries, conditions in the transition zone between seismogenic and stable slip produce slow earthquakes. In the Cascadia subduction zone, these events are consistently observed as slow, aseismic slip on the plate interface accompanied by persistent tectonic tremor. However, not all slow slip at other plate boundaries coincides spatially and temporally with tremor, leaving the physics of tremor genesis poorly understood. Here we analyze seismic, geodetic, and strainmeter data in Cascadia to observe for the first time a large, tremor-generating slow earthquake change from tremor-genic to silent and back again. The tremor falls silent at reduced slip speeds when the migrating slip front pauses as it loads the stronger adjacent fault segment to failure. The finding suggests that rheology and slip-speed-regulated stressing rate control tremor genesis, and the same section of fault can slip both with and without detectable tremor, limiting tremor's use as a proxy for slip.","language":"English","publisher":"Wiley","doi":"10.1002/2013GL058607","usgsCitation":"Wech, A.G., and Bartlow, N., 2014, Slip rate and tremor genesis in Cascadia: Geophysical Research Letters, v. 41, no. 2, p. 392-398, https://doi.org/10.1002/2013GL058607.","productDescription":"7 p.","startPage":"392","endPage":"398","numberOfPages":"7","ipdsId":"IP-052361","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473203,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013gl058607","text":"Publisher Index Page"},{"id":281786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","otherGeospatial":"Cascadia Subduction Zone","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.7,38.06 ], [ -128.7,51.29 ], [ -120.59,51.29 ], [ -120.59,38.06 ], [ -128.7,38.06 ] ] ] } } ] }","volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-01-30","publicationStatus":"PW","scienceBaseUri":"53517063e4b05569d805a3b9","contributors":{"authors":[{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":489691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartlow, Noel M.","contributorId":38868,"corporation":false,"usgs":true,"family":"Bartlow","given":"Noel M.","affiliations":[],"preferred":false,"id":489692,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}