{"pageNumber":"1173","pageRowStart":"29300","pageSize":"25","recordCount":184828,"records":[{"id":70173663,"text":"70173663 - 2016 - Animal movement constraints improve resource selection inference in the presence of telemetry error","interactions":[],"lastModifiedDate":"2016-06-07T15:20:38","indexId":"70173663","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Animal movement constraints improve resource selection inference in the presence of telemetry error","docAbstract":"<p><span>Multiple factors complicate the analysis of animal telemetry location data. Recent advancements address issues such as temporal autocorrelation and telemetry measurement error, but additional challenges remain. Difficulties introduced by complicated error structures or barriers to animal movement can weaken inference. We propose an approach for obtaining resource selection inference from animal location data that accounts for complicated error structures, movement constraints, and temporally autocorrelated observations. We specify a model for telemetry data observed with error conditional on unobserved true locations that reflects prior knowledge about constraints in the animal movement process. The observed telemetry data are modeled using a flexible distribution that accommodates extreme errors and complicated error structures. Although constraints to movement are often viewed as a nuisance, we use constraints to simultaneously estimate and account for telemetry error. We apply the model to simulated data, showing that it outperforms common ad hoc approaches used when confronted with measurement error and movement constraints. We then apply our framework to an Argos satellite telemetry data set on harbor seals (</span><i>Phoca vitulina</i><span>) in the Gulf of Alaska, a species that is constrained to move within the marine environment and adjacent coastlines.</span></p>","language":"English","publisher":"Ecological Society of America, Wiley","doi":"10.1890/15-0472.1","usgsCitation":"Brost, B.M., Hooten, M., Hanks, E., and Small, R.J., 2016, Animal movement constraints improve resource selection inference in the presence of telemetry error: Ecology, v. 96, no. 10, p. 2590-2597, https://doi.org/10.1890/15-0472.1.","productDescription":"8 p.","startPage":"2590","endPage":"2597","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060441","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/15-0472.1","text":"Publisher Index Page"},{"id":323199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f02ee4b04f417c24da1b","contributors":{"authors":[{"text":"Brost, Brian M.","contributorId":171484,"corporation":false,"usgs":false,"family":"Brost","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":637471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Ephraim M.","contributorId":104630,"corporation":false,"usgs":true,"family":"Hanks","given":"Ephraim M.","affiliations":[],"preferred":false,"id":637596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Small, Robert J.","contributorId":171486,"corporation":false,"usgs":false,"family":"Small","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":637597,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191236,"text":"70191236 - 2016 - An evaluation of unsupervised and supervised learning algorithms for clustering landscape types in the United States","interactions":[],"lastModifiedDate":"2017-10-02T16:19:59","indexId":"70191236","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1191,"text":"Cartography and Geographic Information Science","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of unsupervised and supervised learning algorithms for clustering landscape types in the United States","docAbstract":"<p><span>Knowledge of landscape type can inform cartographic generalization of hydrographic features, because landscape characteristics provide an important geographic context that affects variation in channel geometry, flow pattern, and network configuration. Landscape types are characterized by expansive spatial gradients, lacking abrupt changes between adjacent classes; and as having a limited number of outliers that might confound classification. The US Geological Survey (USGS) is exploring methods to automate generalization of features in the National Hydrography Data set (NHD), to associate specific sequences of processing operations and parameters with specific landscape characteristics, thus obviating manual selection of a unique processing strategy for every NHD watershed unit. A chronology of methods to delineate physiographic regions for the United States is described, including a recent maximum likelihood classification based on seven input variables. This research compares unsupervised and supervised algorithms applied to these seven input variables, to evaluate and possibly refine the recent classification. Evaluation metrics for unsupervised methods include the Davies–Bouldin index, the Silhouette index, and the Dunn index as well as quantization and topographic error metrics. Cross validation and misclassification rate analysis are used to evaluate supervised classification methods. The paper reports the comparative analysis and its impact on the selection of landscape regions. The compared solutions show problems in areas of high landscape diversity. There is some indication that additional input variables, additional classes, or more sophisticated methods can refine the existing classification.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230406.2015.1067829","usgsCitation":"Wendel, J., Buttenfield, B., and Stanislawski, L.V., 2016, An evaluation of unsupervised and supervised learning algorithms for clustering landscape types in the United States: Cartography and Geographic Information Science, v. 43, no. 3, p. 233-249, https://doi.org/10.1080/15230406.2015.1067829.","productDescription":"17 p.","startPage":"233","endPage":"249","ipdsId":"IP-062949","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":346332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"43","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-15","publicationStatus":"PW","scienceBaseUri":"59d35029e4b05fe04cc34d65","contributors":{"authors":[{"text":"Wendel, Jochen","contributorId":196803,"corporation":false,"usgs":false,"family":"Wendel","given":"Jochen","affiliations":[],"preferred":false,"id":711651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buttenfield, Barbara P.","contributorId":145538,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":711652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanislawski, Larry V. 0000-0002-9437-0576 lstan@usgs.gov","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":3386,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","email":"lstan@usgs.gov","middleInitial":"V.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":711650,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168681,"text":"70168681 - 2016 - Evaluating abundance and trends in a Hawaiian avian community using state-space analysis","interactions":[],"lastModifiedDate":"2018-01-04T12:37:05","indexId":"70168681","displayToPublicDate":"2015-09-30T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1048,"text":"Bird Conservation International","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating abundance and trends in a Hawaiian avian community using state-space analysis","docAbstract":"<p>Estimating population abundances and patterns of change over time are important in both ecology and conservation. Trend assessment typically entails fitting a regression to a time series of abundances to estimate population trajectory. However, changes in abundance estimates from year-to-year across time are due to both true variation in population size (process variation) and variation due to imperfect sampling and model fit. State-space models are a relatively new method that can be used to partition the error components and quantify trends based only on process variation. We compare a state-space modelling approach with a more traditional linear regression approach to assess trends in uncorrected raw counts and detection-corrected abundance estimates of forest birds at Hakalau Forest National Wildlife Refuge, Hawai&lsquo;i. Most species demonstrated similar trends using either method. In general, evidence for trends using state-space models was less strong than for linear regression, as measured by estimates of precision. However, while the state-space models may sacrifice precision, the expectation is that these estimates provide a better representation of the real world biological processes of interest because they are partitioning process variation (environmental and demographic variation) and observation variation (sampling and model variation). The state-space approach also provides annual estimates of abundance which can be used by managers to set conservation strategies, and can be linked to factors that vary by year, such as climate, to better understand processes that drive population trends.</p>","language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge","doi":"10.1017/S0959270915000088","usgsCitation":"Camp, R., Brinck, K., Gorresen, P.M., and Paxton, E., 2016, Evaluating abundance and trends in a Hawaiian avian community using state-space analysis: Bird Conservation International, v. 26, no. 2, p. 225-242, https://doi.org/10.1017/S0959270915000088.","productDescription":"18 p.","startPage":"225","endPage":"242","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064721","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":318360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hakalau Forest National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.467529296875,\n              19.427743935948932\n            ],\n            [\n              -155.467529296875,\n              19.89330573274471\n            ],\n            [\n              -155.15167236328125,\n              19.89330573274471\n            ],\n            [\n              -155.15167236328125,\n              19.427743935948932\n            ],\n            [\n              -155.467529296875,\n              19.427743935948932\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-30","publicationStatus":"PW","scienceBaseUri":"56cee261e4b015c306ec5ebf","contributors":{"authors":[{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":621250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinck, Kevin W.","contributorId":78215,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","affiliations":[],"preferred":false,"id":621251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorresen, P. M. mgorresen@usgs.gov","contributorId":18552,"corporation":false,"usgs":true,"family":"Gorresen","given":"P.","email":"mgorresen@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":621252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":621249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170002,"text":"70170002 - 2016 - A new method for discovering behavior patterns among animal movements","interactions":[],"lastModifiedDate":"2017-08-26T16:45:50","indexId":"70170002","displayToPublicDate":"2015-09-29T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2046,"text":"International Journal of Geographical Information Science","active":true,"publicationSubtype":{"id":10}},"title":"A new method for discovering behavior patterns among animal movements","docAbstract":"<p><span>Advanced satellite tracking technologies enable biologists to track animal movements at fine spatial and temporal scales. The resultant data present opportunities and challenges for understanding animal behavioral mechanisms. In this paper, we develop a new method to elucidate animal movement patterns from tracking data. Here, we propose the notion of continuous behavior patterns as a concise representation of popular migration routes and underlying sequential behaviors during migration. Each stage in the pattern is characterized in terms of space (i.e., the places traversed during movements) and time (i.e. the time spent in those places); that is, the behavioral state corresponding to a stage is inferred according to the spatiotemporal and sequential context. Hence, the pattern may be interpreted predictably. We develop a candidate generation and refinement framework to derive all continuous behavior patterns from raw trajectories. In the framework, we first define the representative spots to denote the underlying potential behavioral states that are extracted from individual trajectories according to the similarity of relaxed continuous locations in certain distinct time intervals. We determine the common behaviors of multiple individuals according to the spatiotemporal proximity of representative spots and apply a projection-based extension approach to generate candidate sequential behavior sequences as candidate patterns. Finally, the candidate generation procedure is combined with a refinement procedure to derive continuous behavior patterns. We apply an ordered processing strategy to accelerate candidate refinement. The proposed patterns and discovery framework are evaluated through conceptual experiments on both real GPS-tracking and large synthetic datasets.</span></p>","language":"English","publisher":"Royal Institute of International Affairs","publisherLocation":"London","doi":"10.1080/13658816.2015.1091462","usgsCitation":"Wang, Y., Luo, Z., Takekawa, J.Y., Prosser, D.J., Xiong, Y., Newman, S., Xiao, X., Batbayar, N., Spragens, K.A., Balachandran, S., and Yan, B., 2016, A new method for discovering behavior patterns among animal movements: International Journal of Geographical Information Science, v. 30, no. 5, p. 929-947, https://doi.org/10.1080/13658816.2015.1091462.","productDescription":"19 p.","startPage":"929","endPage":"947","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066274","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471449,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4874732","text":"External Repository"},{"id":319713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-29","publicationStatus":"PW","scienceBaseUri":"56ff9bb7e4b0328dcb7eaa38","contributors":{"authors":[{"text":"Wang, Y.","contributorId":64213,"corporation":false,"usgs":true,"family":"Wang","given":"Y.","affiliations":[],"preferred":false,"id":625839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luo, Ze","contributorId":41307,"corporation":false,"usgs":true,"family":"Luo","given":"Ze","affiliations":[],"preferred":false,"id":625841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":625840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":625838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiong, Y.","contributorId":168415,"corporation":false,"usgs":false,"family":"Xiong","given":"Y.","email":"","affiliations":[{"id":25285,"text":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":625842,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newman, S.","contributorId":7678,"corporation":false,"usgs":true,"family":"Newman","given":"S.","affiliations":[],"preferred":false,"id":625843,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiao, X.","contributorId":82869,"corporation":false,"usgs":true,"family":"Xiao","given":"X.","email":"","affiliations":[],"preferred":false,"id":625844,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Batbayar, N.","contributorId":47074,"corporation":false,"usgs":true,"family":"Batbayar","given":"N.","email":"","affiliations":[],"preferred":false,"id":625845,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spragens, Kyle A. kspragens@usgs.gov","contributorId":5775,"corporation":false,"usgs":true,"family":"Spragens","given":"Kyle","email":"kspragens@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":625846,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Balachandran, S.","contributorId":26891,"corporation":false,"usgs":true,"family":"Balachandran","given":"S.","affiliations":[],"preferred":false,"id":625847,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yan, B.","contributorId":11739,"corporation":false,"usgs":true,"family":"Yan","given":"B.","email":"","affiliations":[],"preferred":false,"id":625848,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70157593,"text":"70157593 - 2016 - Human activities cause distinct dissolved organic matter composition across freshwater ecosystems","interactions":[],"lastModifiedDate":"2016-02-01T13:16:17","indexId":"70157593","displayToPublicDate":"2015-09-29T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Human activities cause distinct dissolved organic matter composition across freshwater ecosystems","docAbstract":"<p><span>Dissolved organic matter (DOM) composition in freshwater ecosystems is influenced by interactions between physical, chemical, and biological processes that are controlled, at one level, by watershed landscape, hydrology, and their connections. Against this environmental template, humans may strongly influence DOM composition. Yet, we lack a comprehensive understanding of DOM composition variation across freshwater ecosystems differentially affected by human activity. Using optical properties, we described DOM variation across five ecosystem groups of the Laurentian Great Lakes Region: large lakes, Kawartha Lakes, Experimental Lakes Area, urban stormwater ponds, and rivers (n = 184 sites). We determined how between ecosystem variation in DOM composition related to watershed size, land use and cover, water quality measures (conductivity, dissolved organic carbon (DOC), nutrient concentration, chlorophyll&nbsp;</span><i>a</i><span>), and human population density. The five freshwater ecosystem groups had distinctive DOM composition from each other. These significant differences were not explained completely through differences in watershed size nor spatial autocorrelation. Instead, multivariate partial least squares regression showed that DOM composition was related to differences in human impact across freshwater ecosystems. In particular, urban/developed watersheds with higher human population densities had a unique DOM composition with a clear anthropogenic influence that was distinct from DOM composition in natural land cover and/or agricultural watersheds. This nonagricultural, human developed impact on aquatic DOM was most evident through increased levels of a microbial, humic-like parallel factor analysis component (C6). Lotic and lentic ecosystems with low human population densities had DOM compositions more typical of clear water to humic-rich freshwater ecosystems but C6 was only present at trace to background levels. Consequently, humans are strongly altering the quality of DOM in waters nearby or flowing through highly populated areas, which may alter carbon cycles in anthropogenically disturbed ecosystems at broad scales.</span></p>","language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1111/gcb.13094","usgsCitation":"Williams, C.J., Frost, P.C., Morales-Williams, A.M., Larson, J.H., Richardson, W.B., Chiandet, A.S., and Xenopoulos, M.A., 2016, Human activities cause distinct dissolved organic matter composition across freshwater ecosystems: Global Change Biology, v. 22, no. 2, p. 613-626, https://doi.org/10.1111/gcb.13094.","productDescription":"14 p.","startPage":"613","endPage":"626","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064700","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":308689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-11","publicationStatus":"PW","scienceBaseUri":"560ba83de4b058f706e53a7f","contributors":{"authors":[{"text":"Williams, Clayton J.","contributorId":138631,"corporation":false,"usgs":false,"family":"Williams","given":"Clayton","email":"","middleInitial":"J.","affiliations":[{"id":12468,"text":"Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":573702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frost, Paul C.","contributorId":138628,"corporation":false,"usgs":false,"family":"Frost","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":573703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morales-Williams, Ana M.","contributorId":148057,"corporation":false,"usgs":false,"family":"Morales-Williams","given":"Ana","email":"","middleInitial":"M.","affiliations":[{"id":16985,"text":"Trent University & Iowa State University","active":true,"usgs":false}],"preferred":false,"id":573704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":573701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":573705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chiandet, Aisha S.","contributorId":148058,"corporation":false,"usgs":false,"family":"Chiandet","given":"Aisha","email":"","middleInitial":"S.","affiliations":[{"id":16986,"text":"Severn Sound Environmental Association","active":true,"usgs":false}],"preferred":false,"id":573706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xenopoulos, Marguerite A.","contributorId":138629,"corporation":false,"usgs":false,"family":"Xenopoulos","given":"Marguerite","email":"","middleInitial":"A.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":573707,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70157236,"text":"70157236 - 2016 - Blind identification of the Millikan Library from earthquake data considering soil–structure interaction","interactions":[],"lastModifiedDate":"2016-06-17T09:37:01","indexId":"70157236","displayToPublicDate":"2015-09-29T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5007,"text":"Structural Control and Health Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Blind identification of the Millikan Library from earthquake data considering soil–structure interaction","docAbstract":"<p><span>The Robert A. Millikan Library is a reinforced concrete building with a basement level and nine stories above the ground. Located on the campus of California Institute of Technology (Caltech) in Pasadena California, it is among the most densely instrumented buildings in the U.S. From the early dates of its construction, it has been the subject of many investigations, especially regarding soil&ndash;structure interaction effects. It is well accepted that the structure is significantly interacting with the surrounding soil, which implies that the true foundation input motions cannot be directly recorded during earthquakes because of inertial effects. Based on this limitation, input&ndash;output modal identification methods are not applicable to this soil&ndash;structure system. On the other hand, conventional output-only methods are typically based on the unknown input signals to be stationary whitenoise, which is not the case for earthquake excitations. Through the use of recently developed blind identification (i.e. output-only) methods, it has become possible to extract such information from only the response signals because of earthquake excitations. In the present study, we employ such a blind identification method to extract the modal properties of the Millikan Library. We present some modes that have not been identified from force vibration tests in several studies to date. Then, to quantify the contribution of soil&ndash;structure interaction effects, we first create a detailed Finite Element (FE) model using available information about the superstructure; and subsequently update the soil&ndash;foundation system's dynamic stiffnesses at each mode such that the modal properties of the entire soil&ndash;structure system agree well with those obtained via output-only modal identification.</span></p>","language":"English","publisher":"International Association for Structural Control and Monitoring","publisherLocation":"Chichester, UK","doi":"10.1002/stc.1803","usgsCitation":"Ghahari, S.F., Abazarsa, F., Avci, O., Çelebi, M., and Taciroglu, E., 2016, Blind identification of the Millikan Library from earthquake data considering soil–structure interaction: Structural Control and Health Monitoring, v. 23, no. 4, p. 684-706, https://doi.org/10.1002/stc.1803.","productDescription":"23 p.","startPage":"684","endPage":"706","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068999","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/stc.1803","text":"Publisher Index Page"},{"id":318538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Pasadena","otherGeospatial":"Robert A. Millikan Library, California Insttitute of Technology","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.12946319580077,\n              34.13136240467381\n            ],\n            [\n              -118.12946319580077,\n              34.14203648796777\n            ],\n            [\n              -118.12130928039551,\n              34.14203648796777\n            ],\n            [\n              -118.12130928039551,\n              34.13136240467381\n            ],\n            [\n              -118.12946319580077,\n              34.13136240467381\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-29","publicationStatus":"PW","scienceBaseUri":"56d96e3ce4b015c306f7644c","contributors":{"authors":[{"text":"Ghahari, S. F.","contributorId":147707,"corporation":false,"usgs":false,"family":"Ghahari","given":"S.","email":"","middleInitial":"F.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":572365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abazarsa, F.","contributorId":147708,"corporation":false,"usgs":false,"family":"Abazarsa","given":"F.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":572366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Avci, O.","contributorId":147709,"corporation":false,"usgs":false,"family":"Avci","given":"O.","email":"","affiliations":[{"id":16914,"text":"University of Qatar","active":true,"usgs":false}],"preferred":false,"id":572367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":572364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taciroglu, E.","contributorId":147710,"corporation":false,"usgs":false,"family":"Taciroglu","given":"E.","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":572368,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176942,"text":"70176942 - 2016 - Precipitation regime classification for the Mojave Desert: Implications for fire occurrence","interactions":[],"lastModifiedDate":"2017-04-07T13:55:04","indexId":"70176942","displayToPublicDate":"2015-09-29T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation regime classification for the Mojave Desert: Implications for fire occurrence","docAbstract":"<p><span>Long periods of drought or above-average precipitation affect Mojave Desert vegetation condition, biomass and susceptibility to fire. Changes in the seasonality of precipitation alter the likelihood of lightning, a key ignition source for fires. The objectives of this study were to characterize the relationship between recent, historic, and future precipitation patterns and fire. Classifying monthly precipitation data from 1971 to 2010 reveals four precipitation regimes: low winter/low summer, moderate winter/moderate summer, high winter/low summer and high winter/high summer. Two regimes with summer monsoonal precipitation covered only 40% of the Mojave Desert ecoregion but contain 88% of the area burned and 95% of the repeat burn area. Classifying historic precipitation for early-century (wet) and mid-century (drought) periods reveals distinct shifts in regime boundaries. Early-century results are similar to current, while the mid-century results show a sizeable reduction in area of regimes with a strong monsoonal component. Such a shift would suggest that fires during the mid-century period would be minimal and anecdotal records confirm this. Predicted precipitation patterns from downscaled global climate models indicate numerous epochs of high winter precipitation, inferring higher fire potential for many multi-decade periods during the next century.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2015.09.002","usgsCitation":"Tagestad, J., Brooks, M.L., Cullinan, V., Downs, J., and McKinley, R., 2016, Precipitation regime classification for the Mojave Desert: Implications for fire occurrence: Journal of Arid Environments, v. 124, p. 388-397, https://doi.org/10.1016/j.jaridenv.2015.09.002.","productDescription":"10 p.","startPage":"388","endPage":"397","numberOfPages":"10","ipdsId":"IP-063012","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":329530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.817138671875,\n              33.47727218776036\n            ],\n            [\n              -118.817138671875,\n              37.96152331396614\n            ],\n            [\n              -112.664794921875,\n              37.96152331396614\n            ],\n            [\n              -112.664794921875,\n              33.47727218776036\n            ],\n            [\n              -118.817138671875,\n              33.47727218776036\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ffdefee4b0824b2d179cf6","contributors":{"authors":[{"text":"Tagestad, Jerry","contributorId":175339,"corporation":false,"usgs":false,"family":"Tagestad","given":"Jerry","email":"","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":650820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":650819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cullinan, Valerie","contributorId":175340,"corporation":false,"usgs":false,"family":"Cullinan","given":"Valerie","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":650821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downs, Janelle","contributorId":175341,"corporation":false,"usgs":false,"family":"Downs","given":"Janelle","email":"","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":650822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKinley, Randy 0000-0001-7644-6365 rmckinley@usgs.gov","orcid":"https://orcid.org/0000-0001-7644-6365","contributorId":1354,"corporation":false,"usgs":true,"family":"McKinley","given":"Randy","email":"rmckinley@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":650823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211939,"text":"70211939 - 2016 - Seasonal temperature and precipitation regulate brook trout young-of-the-year abundance and population dynamics","interactions":[],"lastModifiedDate":"2021-04-27T18:50:22.024529","indexId":"70211939","displayToPublicDate":"2015-09-28T11:43:50","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal temperature and precipitation regulate brook trout young-of-the-year abundance and population dynamics","docAbstract":"<ol class=\"\"><li>Abundance of the young‐of‐the‐year (YOY) fish can vary greatly among years and it may be driven by several key biological processes (i.e. adult spawning, egg survival and fry survival) that span several months. However, the relative influence of seasonal weather patterns on YOY abundance is poorly understood.</li><li>We assessed the importance of seasonal air temperature (a surrogate for stream temperature) and precipitation (a surrogate for stream flow) on brook trout (<i>Salvelinus fontinalis</i>) YOY summer abundance using a 29‐year data set from 115 sites in Shenandoah National Park, Virginia, U.S.A. We used a Bayesian hierarchical model that allowed the effect of seasonal weather covariates to vary among sites and accounted for imperfect detection of individuals.</li><li>Summer YOY abundance was affected by preceding seasonal air temperature and precipitation, and these regional‐scale drivers led to spatial synchrony in YOY abundance dynamics across the 170‐km‐long study area. Mean winter precipitation had the greatest effect on YOY abundance and the relationship was negative. Mean autumn precipitation, and winter and spring temperature had significantly positive effects on YOY abundance, and mean autumn temperature had a significant negative effect. In addition, the effect of summer precipitation differed along a latitudinal gradient, with YOY abundance at more northern sites being more responsive to inter‐annual variation in summer precipitation.</li><li>Strong YOY years resulted in high abundance of adults (&gt;age 1&nbsp;+&nbsp;fish) in the subsequent year at more than half of sites. However, higher adult abundance did not result in higher YOY abundance in the subsequent year at any of the study sites (i.e. no positive stock–recruitment relationship).</li><li>Our results indicate that YOY abundance is a key driver of brook trout population dynamics that is mediated by seasonal weather patterns. A reliable assessment of climate change impacts on brook trout needs to account for how alternations in seasonal weather patterns impact YOY abundance and how such relationships may differ across the range of brook trout distribution.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12682","usgsCitation":"Kanno, Y., Pregler, K.C., Hitt, N.P., Letcher, B., Hocking, D., and Wofford, J.E., 2016, Seasonal temperature and precipitation regulate brook trout young-of-the-year abundance and population dynamics: Freshwater Biology, v. 61, no. 1, p. 88-99, https://doi.org/10.1111/fwb.12682.","productDescription":"12 p.","startPage":"88","endPage":"99","ipdsId":"IP-063610","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":377407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.25561523437499,\n              39.04478604850143\n            ],\n            [\n              -79.21142578125,\n              37.95286091815649\n            ],\n            [\n              -79.6893310546875,\n              37.56199695314352\n            ],\n            [\n              -79.486083984375,\n              37.42688834526727\n            ],\n            [\n              -78.695068359375,\n              37.92686760148135\n            ],\n            [\n              -77.904052734375,\n              38.6897975322717\n            ],\n            [\n              -77.95898437499999,\n              39.0533181067413\n            ],\n            [\n              -78.25561523437499,\n              39.04478604850143\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2015-09-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Kanno, Yoichiro","contributorId":210653,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":795888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pregler, Kasey C.","contributorId":149616,"corporation":false,"usgs":false,"family":"Pregler","given":"Kasey","email":"","middleInitial":"C.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":795889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Benjamin 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":169305,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hocking, Daniel 0000-0003-1889-9184 dhocking@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-9184","contributorId":149618,"corporation":false,"usgs":true,"family":"Hocking","given":"Daniel","email":"dhocking@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wofford, John E. B.","contributorId":38951,"corporation":false,"usgs":false,"family":"Wofford","given":"John","email":"","middleInitial":"E. B.","affiliations":[],"preferred":false,"id":795893,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70160426,"text":"70160426 - 2016 - Restoration of impaired ecosystems: An ounce of prevention or a pound of cure? introduction, overview, and key messages from a SETAC-SER workshop","interactions":[],"lastModifiedDate":"2017-10-23T10:48:06","indexId":"70160426","displayToPublicDate":"2015-09-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of impaired ecosystems: An ounce of prevention or a pound of cure? introduction, overview, and key messages from a SETAC-SER workshop","docAbstract":"<p>A workshop on Restoration of Impaired Ecosystems was held in Jackson, Wyoming, in June 2014. Experts from Australia, Canada, Mexico, the United Kingdom, and the United States in ecotoxicology, restoration, and related fields from both the Society of Environmental Toxicology and Chemistry and the Society for Ecological Restoration convened to advance the practice of restoring ecosystems that have been contaminated or impaired from industrial activities. The overall goal of this workshop was to provide a forum for ecotoxicologists and restoration ecologists to define the best scientific practices to achieve ecological restoration while addressing contaminant concerns. To meet this goal, participants addressed 5 areas: 1) links between ecological risk assessment and ecological restoration, 2) restoration goals, 3) restoration design, 4) monitoring for restoration effectiveness and 5) recognizing opportunities and challenges. Definitions are provided to establish a common language across the varied disciplines. The current practice for addressing restoration of impaired ecosystems tends to be done sequentially to remediate contaminants, then to restore ecological structure and function. A better approach would anticipate or plan for restoration throughout the process. By bringing goals to the forefront, we may avoid intrusive remediation activities that close off options for the desired restoration. Participants realized that perceived limitations in the site assessment process hinder consideration of restoration goals; contaminant presence will influence restoration goal choices; social, economic, and cultural concerns can factor into goal setting; restoration options and design should be considered early during site assessment and management; restoration of both structure and function is encouraged; creative solutions can overcome limitations; a regional focus is imperative; monitoring must occur throughout the restoration process; and reciprocal transfer of knowledge is needed among theorists, practitioners, and stakeholders and among varied disciplines.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ieam.1687","usgsCitation":"Farag, A.M., Hull, R.N., Clements, W.H., Glomb, S., Larson, D.L., Stahl, R.G., and Stauber, J., 2016, Restoration of impaired ecosystems: An ounce of prevention or a pound of cure? introduction, overview, and key messages from a SETAC-SER workshop: Integrated Environmental Assessment and Management, v. 12, no. 2, p. 247-252, https://doi.org/10.1002/ieam.1687.","productDescription":"6 p.","startPage":"247","endPage":"252","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061919","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.1687","text":"Publisher Index Page"},{"id":312578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-01","publicationStatus":"PW","scienceBaseUri":"567930d2e4b0da412f4fb591","contributors":{"authors":[{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":582880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hull, Ruth N.","contributorId":150740,"corporation":false,"usgs":false,"family":"Hull","given":"Ruth","email":"","middleInitial":"N.","affiliations":[{"id":18085,"text":"Intrinsik Environmental Sciences Inc., Mississauga, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":582881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, Will H.","contributorId":150741,"corporation":false,"usgs":false,"family":"Clements","given":"Will","email":"","middleInitial":"H.","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":582882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glomb, Steve","contributorId":150742,"corporation":false,"usgs":false,"family":"Glomb","given":"Steve","email":"","affiliations":[{"id":18086,"text":"US Department of Interior, Washington, D.C","active":true,"usgs":false}],"preferred":false,"id":582883,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":582884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stahl, Ralph G.","contributorId":78666,"corporation":false,"usgs":true,"family":"Stahl","given":"Ralph","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":582885,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stauber, Jenny","contributorId":11970,"corporation":false,"usgs":true,"family":"Stauber","given":"Jenny","affiliations":[],"preferred":false,"id":582886,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70160785,"text":"70160785 - 2016 - Behavioural response of adult sea lamprey (Petromyzon marinus) to predator and conspecific alarm cues: evidence of additive effects","interactions":[],"lastModifiedDate":"2016-12-14T12:45:15","indexId":"70160785","displayToPublicDate":"2015-09-26T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Behavioural response of adult sea lamprey (Petromyzon marinus) to predator and conspecific alarm cues: evidence of additive effects","docAbstract":"<p>Sea lampreys Petromyzon marinus, an invasive pest in the Upper Great Lakes, avoid odours that represent danger in their habitat. These odours include conspecific alarm cues and predator cues, like 2-phenylethylamine hydrochloride (PEA HCl), which is found in the urine of mammalian predators. Whether conspecific alarm cues and predator cues function additively or synergistically when mixed together is unknown. The objectives of this experimental study were to determine if the avoidance response of sea lamprey to PEA HCl is proportional to the concentration delivered, and if the avoidance response to the combination of a predator cue (PEA HCl) and sea lamprey alarm cue is additive. To accomplish the first objective, groups of ten sea lampreys were placed in an artificial stream channel and presented with stepwise concentrations of PEA HCl ranging from 5 &times; 10&minus;8 to 5 &times; 10&minus;10 M and a deionized water control. Sea lampreys exhibited an increase in their avoidance behaviour in response to increasing concentrations of PEA HCl. To accomplish the second objective, sea lampreys were exposed to PEA HCl, conspecific alarm cue and a combination of the two. Sea lampreys responded to the combination of predator cue and conspecific alarm cue in an additive manner.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-015-2508-6","usgsCitation":"Di Rocco, R.T., Imre, I., Johnson, N., and Brown, G.B., 2016, Behavioural response of adult sea lamprey (Petromyzon marinus) to predator and conspecific alarm cues: evidence of additive effects: Hydrobiologia, v. 767, no. 1, p. 279-287, https://doi.org/10.1007/s10750-015-2508-6.","productDescription":"9 p.","startPage":"279","endPage":"287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065576","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471452,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://spectrum.library.concordia.ca/979649/1/Di_Rocco_MSc_Thesis.pdf","text":"External 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,{"id":70157212,"text":"70157212 - 2016 - Two Holocene paleofire records from Peten, Guatemala: Implications for natural fire regime and prehispanic Maya land use","interactions":[],"lastModifiedDate":"2016-12-14T12:24:51","indexId":"70157212","displayToPublicDate":"2015-09-25T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Two Holocene paleofire records from Peten, Guatemala: Implications for natural fire regime and prehispanic Maya land use","docAbstract":"<p>Although fire was arguably the primary tool used by the Maya to alter the landscape and extract resources, little attention has been paid to biomass burning in paleoenvironmental reconstructions from the Maya lowlands. Here we report two new well-dated, high-resolution records of biomass burning based on analysis of macroscopic fossil charcoal recovered from lacustrine sediment cores. The records extend from the early Holocene, through the full arc of Maya prehistory, the Colonial, and post-Colonial periods (~ 9000 cal yr BP to the present). (Hereafter BP) The study sites, Lago Paixban and Lago Puerto Arturo, are located in northern Peten, Guatemala. Results provide the first quantitative analysis from the region demonstrating that frequent fires have occurred in the closed canopy forests since at least the early Holocene (~ 9000 BP), prior to occupation by sedentary agriculturalists. Following the arrival of agriculture around 4600 BP, the system transitioned from climate controlled to anthropogenic control. During the Maya period, changes in fire regime are muted and do not appear to be driven by changes in climate conditions. Low charcoal influx and fire frequency in the Earliest Preclassic period suggest that land use strategies may have included intensive agriculture much earlier than previously thought. Preliminary results showing concentrations of soot/black-carbon during the middle and late Preclassic periods are lower than modern background values, providing intriguing implications regarding the efficiency of Maya fuel consumption.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2015.09.012","usgsCitation":"Anderson, L., and Wahl, D.B., 2016, Two Holocene paleofire records from Peten, Guatemala: Implications for natural fire regime and prehispanic Maya land use: Global and Planetary Change, v. 138, p. 82-92, https://doi.org/10.1016/j.gloplacha.2015.09.012.","productDescription":"11 p.","startPage":"82","endPage":"92","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060515","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gloplacha.2015.09.012","text":"Publisher Index Page"},{"id":312843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","state":"Peten","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.72235107421874,\n              17.808841135842886\n            ],\n            [\n              -89.6649169921875,\n              17.808841135842886\n            ],\n            [\n              -89.61822509765625,\n              17.371610024104744\n            ],\n            [\n              -89.83795166015625,\n              17.041029311689186\n            ],\n            [\n              -90.13732910156249,\n              17.012141149739257\n            ],\n            [\n              -90.60150146484375,\n              17.012141149739257\n            ],\n            [\n              -90.79925537109375,\n              17.27984137051228\n            ],\n            [\n              -90.72235107421874,\n              17.808841135842886\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"138","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567bd3c1e4b0a04ef491a226","chorus":{"doi":"10.1016/j.gloplacha.2015.09.012","url":"http://dx.doi.org/10.1016/j.gloplacha.2015.09.012","publisher":"Elsevier BV","authors":"Anderson Lysanna, Wahl David","journalName":"Global and Planetary Change","publicationDate":"3/2016"},"contributors":{"authors":[{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":572278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, David B. 0000-0002-0451-3554 dwahl@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":3433,"corporation":false,"usgs":true,"family":"Wahl","given":"David","email":"dwahl@usgs.gov","middleInitial":"B.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":572279,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174886,"text":"70174886 - 2016 - Evaluating the adequacy of a reference site pool for ecological assessments in environmentally complex regions","interactions":[],"lastModifiedDate":"2016-07-20T11:03:34","indexId":"70174886","displayToPublicDate":"2015-09-24T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the adequacy of a reference site pool for ecological assessments in environmentally complex regions","docAbstract":"<p>Many advances in the field of bioassessment have focused on approaches for objectively selecting the pool of reference sites used to establish expectations for healthy waterbodies, but little emphasis has been placed on ways to evaluate the suitability of the reference-site pool for its intended applications (e.g., compliance assessment vs ambient monitoring). These evaluations are critical because an inadequately evaluated reference pool may bias assessments in some settings. We present an approach for evaluating the adequacy of a reference-site pool for supporting biotic-index development in environmentally heterogeneous and pervasively altered regions. We followed common approaches for selecting sites with low levels of anthropogenic stress to screen 1985 candidate stream reaches to create a pool of 590 reference sites for assessing the biological integrity of streams in California, USA. We assessed the resulting pool of reference sites against 2 performance criteria. First, we evaluated how well the reference-site pool represented the range of natural gradients present in the entire population of streams as estimated by sites sampled through probabilistic surveys. Second, we evaluated the degree to which we were successful in rejecting sites influenced by anthropogenic stress by comparing biological metric scores at reference sites with the most vs fewest potential sources of stress. Using this approach, we established a reference-site pool with low levels of human-associated stress and broad coverage of environmental heterogeneity. This approach should be widely applicable and customizable to particular regional or programmatic needs.</p>","language":"English","publisher":"The Society for Freshwater Science and the University of Chicago Press","doi":"10.1086/684003","collaboration":"Southern California Coastal Water Research Project; California Department of Fish and Wildlife","usgsCitation":"Ode, P.R., Rehn, A.C., Mazor, R.D., Schiff, K.C., Stein, E.D., May, J., Brown, L.R., Herbst, D.B., Gillette, D., Lunde, K., and Hawkins, C., 2016, Evaluating the adequacy of a reference site pool for ecological assessments in environmentally complex regions: Freshwater Science, v. 35, no. 1, p. 237-248, https://doi.org/10.1086/684003.","productDescription":"11 p.","startPage":"237","endPage":"248","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063272","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488459,"rank":0,"type":{"id":40,"text":"Open Access 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D.D.","contributorId":34283,"corporation":false,"usgs":true,"family":"Gillette","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":642996,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lunde, Kevin","contributorId":173014,"corporation":false,"usgs":false,"family":"Lunde","given":"Kevin","email":"","affiliations":[{"id":27142,"text":"San Francisco Bay Regional Water Quality Control Board","active":true,"usgs":false}],"preferred":false,"id":642997,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hawkins, Charles P.","contributorId":173015,"corporation":false,"usgs":false,"family":"Hawkins","given":"Charles P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":642998,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70156410,"text":"70156410 - 2016 - Copahue volcano and its regional magmatic setting","interactions":[],"lastModifiedDate":"2018-08-24T12:29:54","indexId":"70156410","displayToPublicDate":"2015-09-22T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Copahue volcano and its regional magmatic setting","docAbstract":"<p><span>Copahue volcano (Province of Neuquen, Argentina) has produced lavas and strombolian deposits over several 100,000s of years, building a rounded volcano with a 3&nbsp;km elevation. The products are mainly basaltic andesites, with the 2000&ndash;2012 eruptive products the most mafic. The geochemistry of Copahue products is compared with those of the main Andes arc (Llaima, Callaqui, Tolhuaca), the older Caviahue volcano directly east of Copahue, and the back arc volcanics of the Loncopue graben. The Caviahue rocks resemble the main Andes arc suite, whereas the Copahue rocks are characterized by lower Fe and Ti contents and higher incompatible element concentrations. The rocks have negative Nb-Ta anomalies, modest enrichments in radiogenic Sr and Pb isotope ratios and slightly depleted Nd isotope ratios. The combined trace element and isotopic data indicate that Copahue magmas formed in a relatively dry mantle environment, with melting of a subducted sediment residue. The back arc basalts show a wide variation in isotopic composition, have similar water contents as the Copahue magmas and show evidence for a subducted sedimentary component in their source regions. The low<sup>&nbsp;</sup></span><sup><span>206</span></sup><span>Pb/</span><sup><span>204</span></sup><span>Pb of some backarc lava flows suggests the presence of a second endmember with an EM1 flavor in its source. The overall magma genesis is explained within the context of a subducted slab with sediment that gradually looses water, water-mobile elements, and then switches to sediment melt extracts deeper down in the subduction zone. With the change in element extraction mechanism with depth comes a depletion and fractionation of the subducted complex that is reflected in the isotope and trace element signatures of the products from the main arc to Copahue to the back arc basalts.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Copahue Volcano","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Heidelburg, Germany","doi":"10.1007/978-3-662-48005-2_5","usgsCitation":"Varekamp, J.C., Zareski, J.E., Camfield, L.M., and Todd, E., 2016, Copahue volcano and its regional magmatic setting, chap. <i>of</i> Copahue Volcano, p. 81-117, https://doi.org/10.1007/978-3-662-48005-2_5.","productDescription":"37 p.","startPage":"81","endPage":"117","numberOfPages":"37","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068587","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":318956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, Chile","otherGeospatial":"Copahue volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.18831634521484,\n              -37.87878283303809\n            ],\n            [\n              -71.18831634521484,\n              -37.84273253222221\n            ],\n            [\n              -71.13407135009766,\n              -37.84273253222221\n            ],\n            [\n              -71.13407135009766,\n              -37.87878283303809\n            ],\n            [\n              -71.18831634521484,\n              -37.87878283303809\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-22","publicationStatus":"PW","scienceBaseUri":"56ed26afe4b0f59b85db09ec","contributors":{"authors":[{"text":"Varekamp, J. C.","contributorId":146816,"corporation":false,"usgs":false,"family":"Varekamp","given":"J.","email":"","middleInitial":"C.","affiliations":[{"id":16751,"text":"Earth and Environmental Sciences Wesleyan Univeristy Middletown, CT","active":true,"usgs":false}],"preferred":false,"id":569058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zareski, J. E.","contributorId":146817,"corporation":false,"usgs":false,"family":"Zareski","given":"J.","email":"","middleInitial":"E.","affiliations":[{"id":16751,"text":"Earth and Environmental Sciences Wesleyan Univeristy Middletown, CT","active":true,"usgs":false}],"preferred":false,"id":569059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camfield, L. M.","contributorId":146818,"corporation":false,"usgs":false,"family":"Camfield","given":"L.","email":"","middleInitial":"M.","affiliations":[{"id":16751,"text":"Earth and Environmental Sciences Wesleyan Univeristy Middletown, CT","active":true,"usgs":false}],"preferred":false,"id":569060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":569057,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157225,"text":"70157225 - 2016 - Relationships of maternal body size and morphology with egg and clutch size in the diamondback terrapin, <i>Malaclemys terrapin</i> (Testudines: Emydidae)","interactions":[],"lastModifiedDate":"2016-01-18T09:12:32","indexId":"70157225","displayToPublicDate":"2015-09-16T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1019,"text":"Biological Journal of the Linnean Society","active":true,"publicationSubtype":{"id":10}},"title":"Relationships of maternal body size and morphology with egg and clutch size in the diamondback terrapin, <i>Malaclemys terrapin</i> (Testudines: Emydidae)","docAbstract":"<p>Because resources are finite, female animals face trade-offs between the size and number of offspring they are able to produce during a single reproductive event. Optimal egg size (OES) theory predicts that any increase in resources allocated to reproduction should increase clutch size with minimal effects on egg size. Variations of OES predict that egg size should be optimized, although not necessarily constant across a population, because optimality is contingent on maternal phenotypes, such as body size and morphology, and recent environmental conditions. We examined the relationships among body size variables (pelvic aperture width, caudal gap height, and plastron length), clutch size, and egg width of diamondback terrapins from separate but proximate populations at Kiawah Island and Edisto Island, South Carolina. We found that terrapins do not meet some of the predictions of OES theory. Both populations exhibited greater variation in egg size among clutches than within, suggesting an absence of optimization except as it may relate to phenotype/habitat matching. We found that egg size appeared to be constrained by more than just pelvic aperture width in Kiawah terrapins but not in the Edisto population. Terrapins at Edisto appeared to exhibit osteokinesis in the caudal region of their shells, which may aid in the oviposition of large eggs.</p>","language":"English","publisher":"The Linnean Society of London","doi":"10.1111/bij.12655","usgsCitation":"Kern, M.M., Guzy, J., Lovich, J.E., Gibbons, J., and Dorcas, M.E., 2016, Relationships of maternal body size and morphology with egg and clutch size in the diamondback terrapin, <i>Malaclemys terrapin</i> (Testudines: Emydidae): Biological Journal of the Linnean Society, v. 117, no. 2, p. 295-304, https://doi.org/10.1111/bij.12655.","productDescription":"10 p.","startPage":"295","endPage":"304","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045451","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/bij.12655","text":"Publisher Index Page"},{"id":308210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","city":"Charleston County","otherGeospatial":"Edisto Island, Kiwah River, Townsend Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.4151153564453,\n              32.46921923476023\n            ],\n            [\n              -80.4151153564453,\n              32.64457862829142\n            ],\n            [\n              -79.98458862304688,\n              32.64457862829142\n            ],\n            [\n              -79.98458862304688,\n              32.46921923476023\n            ],\n            [\n              -80.4151153564453,\n              32.46921923476023\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"117","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-08","publicationStatus":"PW","scienceBaseUri":"55fa849de4b05d6c4e501a2b","contributors":{"authors":[{"text":"Kern, Maximilian M.","contributorId":147737,"corporation":false,"usgs":false,"family":"Kern","given":"Maximilian","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":572503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guzy, Jacquelyn C.","contributorId":9146,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn C.","affiliations":[],"preferred":false,"id":572305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":572303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbons, J. Whitfield","contributorId":46584,"corporation":false,"usgs":true,"family":"Gibbons","given":"J. Whitfield","affiliations":[],"preferred":false,"id":572304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorcas, Michael E.","contributorId":100515,"corporation":false,"usgs":false,"family":"Dorcas","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":12984,"text":"Department of Biology, Davidson College","active":true,"usgs":false}],"preferred":false,"id":572307,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70157233,"text":"70157233 - 2016 - Improving conservation outcomes with a new paradigm for understanding species’ fundamental and realized adaptive capacity","interactions":[],"lastModifiedDate":"2016-04-28T12:53:35","indexId":"70157233","displayToPublicDate":"2015-09-15T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Improving conservation outcomes with a new paradigm for understanding species’ fundamental and realized adaptive capacity","docAbstract":"<p><span>Worldwide, many species are responding to ongoing climate change with shifts in distribution, abundance, phenology, or behavior. Consequently, natural-resource managers face increasingly urgent conservation questions related to biodiversity loss, expansion of invasive species, and deteriorating ecosystem services. We argue that our ability to address these questions is hampered by the lack of explicit consideration of species&rsquo;&nbsp;</span><i>adaptive capacity</i><span>&nbsp;(AC). AC is the ability of a species or population to cope with climatic changes and is characterized by three fundamental components: phenotypic plasticity, dispersal ability, and genetic diversity. However, few studies simultaneously address all elements; often, AC is confused with sensitivity or omitted altogether from climate-change vulnerability assessments. Improved understanding, consistent definition, and comprehensive evaluations of AC are needed. Using classic ecological-niche theory as an analogy, we propose a new paradigm that considers fundamental and realized AC: the former reflects aspects inherent to species, whereas the latter denotes how extrinsic factors constrain AC to what is actually expressed or observed. Through this conceptualization, we identify ecological attributes contributing to AC, outline areas of research necessary to advance understanding of AC, and provide examples demonstrating how the inclusion of AC can better inform conservation and natural-resource management.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/conl.12190","usgsCitation":"Beever, E., O’Leary, J., Mengelt, C., West, J.M., Julius, S., Green, N., Magness, D., Petes, L.E., Stein, B.A., Nicotra, A.B., Hellmann, J.J., Robertson, A.L., Staudinger, M.D., Rosenberg, A.A., Babij, E., Brennan, J., Schuurman, G.W., and Hofmann, G.E., 2016, Improving conservation outcomes with a new paradigm for understanding species’ fundamental and realized adaptive capacity: Conservation Letters, v. 9, no. 2, p. 131-137, https://doi.org/10.1111/conl.12190.","productDescription":"7 p.","startPage":"131","endPage":"137","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059591","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471456,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.12190","text":"Publisher Index Page"},{"id":308125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-05","publicationStatus":"PW","scienceBaseUri":"55f93334e4b05d6c4e50136d","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":572337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Leary, John","contributorId":147689,"corporation":false,"usgs":false,"family":"O’Leary","given":"John","email":"","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":572338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mengelt, Claudia 0000-0001-7869-5170","orcid":"https://orcid.org/0000-0001-7869-5170","contributorId":147690,"corporation":false,"usgs":false,"family":"Mengelt","given":"Claudia","affiliations":[{"id":16901,"text":"National Research Council, 500 Fifth Street NW, Washington, D.C., 20001, USA","active":true,"usgs":false}],"preferred":false,"id":572339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Jordan M.","contributorId":32414,"corporation":false,"usgs":true,"family":"West","given":"Jordan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":572340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Julius, Susan","contributorId":147706,"corporation":false,"usgs":false,"family":"Julius","given":"Susan","affiliations":[{"id":13226,"text":"U.S. Environmental Protection Agency, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":572362,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Green, Nancy","contributorId":147691,"corporation":false,"usgs":false,"family":"Green","given":"Nancy","email":"","affiliations":[{"id":16902,"text":"U.S. Fish and Wildlife Service, Ecological Services Program, Washington, D.C., 20240, USA","active":true,"usgs":false}],"preferred":false,"id":572341,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magness, Dawn","contributorId":147692,"corporation":false,"usgs":false,"family":"Magness","given":"Dawn","affiliations":[{"id":16903,"text":"U.S. Fish and Wildlife Service, Kenai National Wildlife Refuge, Soldotna, AK, 99669, USA","active":true,"usgs":false}],"preferred":false,"id":572342,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Petes, Laura E.","contributorId":68638,"corporation":false,"usgs":true,"family":"Petes","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":572343,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stein, Bruce A.","contributorId":52896,"corporation":false,"usgs":true,"family":"Stein","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572344,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicotra, Adrienne 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Fish and Wildlife Service, Science Applications, Fairbanks, AK, 99701, USA","active":true,"usgs":false}],"preferred":false,"id":572347,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Staudinger, Michelle D. 0000-0002-4535-2005 mstaudinger@usgs.gov","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":4057,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","email":"mstaudinger@usgs.gov","middleInitial":"D.","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":572363,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rosenberg, Andrew A.","contributorId":104780,"corporation":false,"usgs":true,"family":"Rosenberg","given":"Andrew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572348,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Babij, Eleanora","contributorId":147696,"corporation":false,"usgs":false,"family":"Babij","given":"Eleanora","email":"","affiliations":[{"id":16907,"text":"U.S. Fish and Wildlife Service, Migratory Bird Program, Washington, D.C., 20240, USA","active":true,"usgs":false}],"preferred":false,"id":572349,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Brennan, Jean","contributorId":147697,"corporation":false,"usgs":false,"family":"Brennan","given":"Jean","email":"","affiliations":[{"id":16908,"text":"U.S. Fish and Wildlife Service, Appalachian Landscape Conservation Cooperative, Shepherdstown, WV, 25443, USA","active":true,"usgs":false}],"preferred":false,"id":572350,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":572351,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hofmann, Gretchen E","contributorId":147699,"corporation":false,"usgs":false,"family":"Hofmann","given":"Gretchen","email":"","middleInitial":"E","affiliations":[{"id":16910,"text":"Department of Ecology, Evolution and Marine Biology, UC Santa Barbara, Santa Barbara, CA 93106, USA","active":true,"usgs":false}],"preferred":false,"id":572352,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70160444,"text":"70160444 - 2016 - Assessing variability in chemical acute toxicity of unionid mussels: Influence of intra- and inter-laboratory testing, life stage, and species","interactions":[],"lastModifiedDate":"2016-12-14T12:42:54","indexId":"70160444","displayToPublicDate":"2015-09-15T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Assessing variability in chemical acute toxicity of unionid mussels: Influence of intra- and inter-laboratory testing, life stage, and species","docAbstract":"<p>We developed a toxicity database for unionid mussels to examine the extent of intra- and inter-laboratory variability in acute toxicity tests with mussel larvae (glochidia) and juveniles; the extent of differential sensitivity of the two life stages; and the variation in sensitivity among commonly tested mussels (<i>Lampsilis siliquoidea</i>, <i>Utterbackia imbecillis</i>, <i>Villosa iris</i>), commonly tested cladocerans (<i>Daphnia magna</i>, <i>Ceriodaphnia dubia</i>) and fish (<i>Oncorhynchus mykiss</i>, <i>Pimephales promelas</i>, <i>Lepomis macrochirus</i>). The results of these analyses indicate intra-laboratory variability for median effect concentrations (EC50) averaged about 2 fold for both life stages, while inter-laboratory variability averaged 3.6 fold for juvenile mussels and 6.3 fold for glochidia. The EC50s for juveniles and glochidia were within a factor of 2 of each other for 50% of paired records across chemicals, with juveniles more sensitive than glochidia by more than 2 fold for 33% of the comparisons made between life stages. There was a high concurrence of the sensitivity of commonly tested <i>L. siliquoidea</i>, <i>U. imbecillis</i>, and<i> V. iris</i> to that of other mussels. However, this concurrence decreases as the taxonomic distance of the commonly tested cladocerans and fish to mussels increases. The compiled mussel database and determination of data variability will advance risk assessments by including more robust species sensitivity distributions, interspecies correlation estimates, and availability of taxon-specific empirically derived application factors for risk assessment.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1002/etc.3245","usgsCitation":"Raimondo, S., Lilavois, C.R., Lee, L., Augspurger, T., Wang, N., Ingersoll, C.G., Bauer, C.R., Hammer, E.J., and Barron, M.G., 2016, Assessing variability in chemical acute toxicity of unionid mussels: Influence of intra- and inter-laboratory testing, life stage, and species: Environmental Toxicology and Chemistry, v. 35, no. 3, p. 750-758, https://doi.org/10.1002/etc.3245.","productDescription":"9 p.","startPage":"750","endPage":"758","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064907","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":312568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-15","publicationStatus":"PW","scienceBaseUri":"567930bee4b0da412f4fb537","contributors":{"authors":[{"text":"Raimondo, Sandy","contributorId":150748,"corporation":false,"usgs":false,"family":"Raimondo","given":"Sandy","email":"","affiliations":[{"id":18090,"text":"U.S. Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL","active":true,"usgs":false}],"preferred":false,"id":582912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lilavois, Crystal R.","contributorId":150749,"corporation":false,"usgs":false,"family":"Lilavois","given":"Crystal","email":"","middleInitial":"R.","affiliations":[{"id":18090,"text":"U.S. Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL","active":true,"usgs":false}],"preferred":false,"id":582913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Larisa","contributorId":150750,"corporation":false,"usgs":false,"family":"Lee","given":"Larisa","email":"","affiliations":[{"id":18090,"text":"U.S. Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL","active":true,"usgs":false}],"preferred":false,"id":582914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Augspurger, Tom","contributorId":63921,"corporation":false,"usgs":true,"family":"Augspurger","given":"Tom","affiliations":[],"preferred":false,"id":582915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":582916,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":582911,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bauer, Candice R.","contributorId":150724,"corporation":false,"usgs":false,"family":"Bauer","given":"Candice","email":"","middleInitial":"R.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":582917,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":583000,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barron, Mace G.","contributorId":150751,"corporation":false,"usgs":false,"family":"Barron","given":"Mace","email":"","middleInitial":"G.","affiliations":[{"id":18090,"text":"U.S. Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL","active":true,"usgs":false}],"preferred":false,"id":582918,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70160492,"text":"70160492 - 2016 - Transforming ecosystems: When, where, and how to restore contaminated sites","interactions":[],"lastModifiedDate":"2017-03-03T09:08:43","indexId":"70160492","displayToPublicDate":"2015-09-15T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Transforming ecosystems: When, where, and how to restore contaminated sites","docAbstract":"<p>Chemical contamination has impaired ecosystems, reducing biodiversity and the provisioning of functions and services. This has spurred a movement to restore contaminated ecosystems and develop and implement national and international regulations that require it. Nevertheless, ecological restoration remains a young and rapidly growing discipline and its intersection with toxicology is even more nascent and underdeveloped. Consequently, we provide guidance to scientists and practitioners on when, where, and how to restore contaminated ecosystems. Although restoration has many benefits, it also can be expensive, and in many cases systems can recover without human intervention. Hence, the first question we address is: &ldquo;When should we restore contaminated ecosystems?&rdquo; Second, we provide suggestions on what to restore&mdash;biodiversity, functions, services, all 3, or something else&mdash;and where to restore given expected changes to habitats driven by global climate change. Finally, we provide guidance on how to restore contaminated ecosystems. To do this, we analyze critical aspects of the literature dealing with the ecology of restoring contaminated ecosystems. Additionally, we review approaches for translating the science of restoration to on-the-ground actions, which includes discussions of market incentives and the finances of restoration, stakeholder outreach and governance models for ecosystem restoration, and working with contractors to implement restoration plans. By explicitly considering the mechanisms and strategies that maximize the success of the restoration of contaminated sites, we hope that our synthesis serves to increase and improve collaborations between restoration ecologists and ecotoxicologists and set a roadmap for the restoration of contaminated ecosystems.</p>","language":"English","publisher":"SETAC","publisherLocation":"Pensacola, FL","doi":"10.1002/ieam.1668","collaboration":"University of South Florida; University of Toronto-Scarborough; Colorado State University; Indiana Department Environmental Management; Dewberry, Inc.; ExxonMobil Biomedical Sciences","usgsCitation":"Rohr, J.R., Farag, A.M., Cadotte, M.W., Clements, W.H., Smith, J.R., Ulrich, C.P., and Woods, R., 2016, Transforming ecosystems: When, where, and how to restore contaminated sites: Integrated Environmental Assessment and Management, v. 12, no. 2, p. 273-283, https://doi.org/10.1002/ieam.1668.","productDescription":"11 p.","startPage":"273","endPage":"283","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063292","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":471457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.1668","text":"Publisher Index Page"},{"id":312567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-01","publicationStatus":"PW","scienceBaseUri":"567930d7e4b0da412f4fb5b4","chorus":{"doi":"10.1002/ieam.1668","url":"http://dx.doi.org/10.1002/ieam.1668","publisher":"Wiley-Blackwell","authors":"Rohr Jason R, Farag Aïda M, Cadotte Marc W, Clements William H, Smith James R, Ulrich Cheryl P, Woods Richard","journalName":"Integrated Environmental Assessment and Management","publicationDate":"9/15/2015","auditedOn":"9/25/2015"},"contributors":{"authors":[{"text":"Rohr, Jason R.","contributorId":18502,"corporation":false,"usgs":true,"family":"Rohr","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":582994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":582993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cadotte, Marc W.","contributorId":150761,"corporation":false,"usgs":false,"family":"Cadotte","given":"Marc","email":"","middleInitial":"W.","affiliations":[{"id":18096,"text":"University of Toronto-Scarborough, Biological Sciences, Scarborough, ON, M1C","active":true,"usgs":false}],"preferred":false,"id":582995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":582996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, James R.","contributorId":150762,"corporation":false,"usgs":false,"family":"Smith","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":18097,"text":"Indiana Department Environmental Management, Office of Land Quality, 100 N. Senate Ave., Indianapolis, IN","active":true,"usgs":false}],"preferred":false,"id":582997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ulrich, Cheryl P.","contributorId":150763,"corporation":false,"usgs":false,"family":"Ulrich","given":"Cheryl","email":"","middleInitial":"P.","affiliations":[{"id":18098,"text":"Dewberry, Inc., 7220 Financial Way, Suite 200, Jacksonville, FL","active":true,"usgs":false}],"preferred":false,"id":582998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woods, Richard","contributorId":150764,"corporation":false,"usgs":false,"family":"Woods","given":"Richard","email":"","affiliations":[{"id":18099,"text":"ExxonMobil Biomedical Sciences Inc. 1545 RT 22 East, Annandale NJ","active":true,"usgs":false}],"preferred":false,"id":582999,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70157153,"text":"70157153 - 2016 - Pathogen exposure varies widely among sympatric populations of wild and domestic felids across the United States","interactions":[],"lastModifiedDate":"2016-04-07T11:14:23","indexId":"70157153","displayToPublicDate":"2015-09-10T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Pathogen exposure varies widely among sympatric populations of wild and domestic felids across the United States","docAbstract":"<p>Understanding how landscape, host, and pathogen traits contribute to disease exposure requires systematic evaluations of pathogens within and among host species and geographic regions. The relative importance of these attributes is critical for management of wildlife and mitigating domestic animal and human disease, particularly given rapid ecological changes, such as urbanization. We screened &gt;1,000 samples from sympatric populations of puma (Puma concolor), bobcat (Lynx rufus) and domestic cat (Felis catus) across urban gradients in six sites, representing three regions, in North America for exposure to a representative suite of bacterial, protozoal and viral pathogens (Bartonella sp., Toxoplasma gondii, feline herpesvirus-1, feline panleukopenea virus, feline calicivirus, feline immunodeficiency virus). We evaluated prevalence within each species, and examined host trait and land cover determinants of exposure-providing an unprecedented analysis of factors relating to potential for infections in domesticated and wild felids. Prevalence differed among host species (highest for puma and lowest for domestic cat) and was greater for indirectly transmitted pathogens. Sex was inconsistently predictive of exposure to directly transmitted pathogens only, and age infrequently predictive of both direct and indirectly transmitted pathogens. Determinants of pathogen exposure were widely divergent between the wild felid species. For puma, suburban landuse predicted increased exposure to Bartonella sp. in southern California, and FHV-1 exposure increased near urban edges in Florida. This may suggest inter-specific transmission with domestic cats via flea vectors (California) and direct contact (Florida) around urban boundaries. Bobcats captured near urban areas had increased exposure to T. gondii in Florida, suggesting an urban source of prey. Bobcats captured near urban areas in Colorado and Florida had higher FIV exposure, possibly suggesting increased intra-specific interactions through pile-up of home ranges. Beyond these regional and pathogen specific relationships, proximity to the wildland urban interface did not generally increase the probability of disease exposure in wild or domestic felids, emphasizing the importance of local ecological determinants. Indeed, pathogen exposure was often negatively associated with the wildland urban interface for all felids. Our analyses suggest cross-species pathogen transmission events around this interface may be infrequent, but followed by self-sustaining propagation within the new host species.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-0445.1","usgsCitation":"Carver, S., Bevins, S.N., Lappin, M.R., Boydston, E.E., Lyren, L.M., Alldredge, M.W., Logan, K.A., Sweanor, L.L., Riley, S.P., Serieys, L., Fisher, R.N., Vickers, T., Boyce, W.M., McBride, R., Cunnigham, M.C., Jennings, M., Lewis, J., Lunn, T., Crooks, K.R., and VandeWoude, S., 2016, Pathogen exposure varies widely among sympatric populations of wild and domestic felids across the United States: Ecological Applications, v. 26, no. 2, p. 367-381, https://doi.org/10.1890/15-0445.1.","productDescription":"15 p.","startPage":"367","endPage":"381","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055994","costCenters":[{"id":651,"text":"Western Ecological Research 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,{"id":70159174,"text":"70159174 - 2016 - Bayesian data analysis in population ecology: motivations, methods, and benefits","interactions":[],"lastModifiedDate":"2016-07-11T15:42:38","indexId":"70159174","displayToPublicDate":"2015-09-07T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian data analysis in population ecology: motivations, methods, and benefits","docAbstract":"<p>During the 20th century ecologists largely relied on the frequentist system of inference for the analysis of their data. However, in the past few decades ecologists have become increasingly interested in the use of Bayesian methods of data analysis. In this article I provide guidance to ecologists who would like to decide whether Bayesian methods can be used to improve their conclusions and predictions. I begin by providing a concise summary of Bayesian methods of analysis, including a comparison of differences between Bayesian and frequentist approaches to inference when using hierarchical models. Next I provide a list of problems where Bayesian methods of analysis may arguably be preferred over frequentist methods. These problems are usually encountered in analyses based on hierarchical models of data. I describe the essentials required for applying modern methods of Bayesian computation, and I use real-world examples to illustrate these methods. I conclude by summarizing what I perceive to be the main strengths and weaknesses of using Bayesian methods to solve ecological inference problems.</p>","language":"English","publisher":"Springer Japan","publisherLocation":"Tokyo, Japan","doi":"10.1007/s10144-015-0503-4","usgsCitation":"Dorazio, R., 2016, Bayesian data analysis in population ecology: motivations, methods, and benefits: Population Ecology, v. 58, no. 1, p. 31-44, https://doi.org/10.1007/s10144-015-0503-4.","productDescription":"14 p.","startPage":"31","endPage":"44","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060523","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":310033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"1","publicComments":"This manuscript was submitted for the special feature based on a symposium in Tsukuba, Japan, held on 11 October 2014.","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-07","publicationStatus":"PW","scienceBaseUri":"5626143be4b0fb9a11dd75f1","contributors":{"authors":[{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":149286,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":577750,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187374,"text":"70187374 - 2016 - Multi‐season occupancy models identify biotic and abiotic factors influencing a recovering Arctic Peregrine Falcon Falco peregrinus tundrius population","interactions":[],"lastModifiedDate":"2019-12-30T09:19:56","indexId":"70187374","displayToPublicDate":"2015-09-07T13:12:14","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Multi‐season occupancy models identify biotic and abiotic factors influencing a recovering Arctic Peregrine Falcon <i>Falco peregrinus tundrius</i> population","title":"Multi‐season occupancy models identify biotic and abiotic factors influencing a recovering Arctic Peregrine Falcon Falco peregrinus tundrius population","docAbstract":"<p><span>Critical information for evaluating the effectiveness of management strategies for species of concern include distinguishing seldom occupied (or low‐quality) habitat from habitat that is frequently occupied and thus contributes substantially to population trends. Using multi‐season models that account for imperfect detection and a long‐term (1981–2002) dataset on migratory Arctic Peregrine Falcons&nbsp;</span><i>Falco peregrinus tundrius</i><span>&nbsp;nesting along the Colville River, Alaska, we quantified the effects of previous year's productivity (i.e. site quality), amount of prey habitat, topography, climate, competition and year on occupancy dynamics across two spatial scales (nest‐sites, cliffs) during recovery of the population. Initial occupancy probability was positively correlated with area of surrounding prey habitat and height of nest‐sites above the Colville River. Colonization probability was positively correlated with nest height and negatively correlated with date of snowmelt. Local extinction probability was negatively correlated with productivity, area of prey habitat and nest height. Colonization and local extinction probabilities were also positively and negatively correlated, respectively, with year. Our results suggest that nest‐sites (or cliffs) along the Colville River do not need equal protection measures. Nest‐sites and cliffs with historically higher productivity were occupied most frequently and had lower probability of local extinction. These sites were on cliffs high above the river drainage, surrounded by adequate prey habitat and with southerly aspects associated with early snowmelt and warmer microclimates in spring. Protecting these sites is likely to encourage continued occupancy by Arctic Peregrine Falcons along the Colville River and other similar areas. Our findings also illustrate the importance of evaluating fitness parameters along with climate and habitat features when analysing occupancy dynamics, particularly with a long‐term dataset spanning a range of annual climate variation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12313","usgsCitation":"Bruggeman, J.E., Swem, T., Andersen, D., Kennedy, P.L., and Debora Nigro, 2016, Multi‐season occupancy models identify biotic and abiotic factors influencing a recovering Arctic Peregrine Falcon Falco peregrinus tundrius population: Ibis, v. 158, no. 1, p. 61-74, https://doi.org/10.1111/ibi.12313.","productDescription":"14 p.","startPage":"61","endPage":"74","ipdsId":"IP-050764","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":370113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Colville River Special Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.521728515625,\n              68.31002672261663\n            ],\n            [\n              -151.11694335937497,\n              68.31002672261663\n            ],\n            [\n              -151.11694335937497,\n              70.11422207508899\n            ],\n            [\n              -158.521728515625,\n              70.11422207508899\n            ],\n            [\n              -158.521728515625,\n              68.31002672261663\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}\n","volume":"158","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Bruggeman, Jason E.","contributorId":18983,"corporation":false,"usgs":false,"family":"Bruggeman","given":"Jason","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":776972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swem, Ted","contributorId":64463,"corporation":false,"usgs":true,"family":"Swem","given":"Ted","affiliations":[],"preferred":false,"id":776973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":true,"id":693637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Patricia L.","contributorId":172826,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patricia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":776974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Debora Nigro","contributorId":217532,"corporation":false,"usgs":false,"family":"Debora Nigro","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":776975,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162240,"text":"70162240 - 2016 - Assessing the robustness of quantitative fatty acid signature analysis to assumption violations","interactions":[],"lastModifiedDate":"2016-01-20T12:38:41","indexId":"70162240","displayToPublicDate":"2015-09-06T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the robustness of quantitative fatty acid signature analysis to assumption violations","docAbstract":"<p>&nbsp;</p>\n<ol>\n<li>Knowledge of animal diets can provide important insights into life history and ecology, relationships among species in a community and potential response to ecosystem change or perturbation. Quantitative fatty acid signature analysis (QFASA) is a method of estimating diets from data on the composition, or signature, of fatty acids stored in adipose tissue. Given data on signatures of potential prey, a predator diet is estimated by minimizing the distance between its signature and a mixture of prey signatures. Calibration coefficients, constants derived from feeding trials, are used to account for differential metabolism of individual fatty acids. QFASA has been widely applied since its introduction and several variants of the original estimator have appeared in the literature. However, work to compare the statistical properties of QFASA estimators has been limited.</li>\n<li>One important characteristic of an estimator is its robustness to violations of model assumptions. The primary assumptions of QFASA are that prey signature data contain representatives of all prey types consumed and the calibration coefficients are known without error. We investigated the robustness of two QFASA estimators to a range of violations of these assumptions using computer simulation and recorded the resulting bias in diet estimates.</li>\n<li>We found that the Aitchison distance measure was most robust to errors in the calibration coefficients. Conversely, the Kullback&ndash;Leibler distance measure was most robust to the consumption of prey without representation in the prey signature data.</li>\n<li>In most QFASA applications, investigators will generally have some knowledge of the prey available to predators and be able to assess the completeness of prey signature data and sample additional prey as necessary. Conversely, because calibration coefficients are derived from feeding trials with captive animals and their values may be sensitive to consumer physiology and nutritional status, their applicability to free-ranging animals is difficult to establish. We therefore recommend that investigators first make any improvements to the prey signature data that seem warranted and then base estimation on the Aitchison distance measure, as it appears to minimize risk from violations of the assumption that is most difficult to verify.</li>\n</ol>","language":"English","publisher":"John Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/2041-210X.12456","usgsCitation":"Bromaghin, J.F., Budge, S.M., Thiemann, G.W., and Rode, K.D., 2016, Assessing the robustness of quantitative fatty acid signature analysis to assumption violations: Methods in Ecology and Evolution, v. 7, no. 1, p. 51-59, https://doi.org/10.1111/2041-210X.12456.","productDescription":"9 p.","startPage":"51","endPage":"59","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064116","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":471459,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12456","text":"Publisher Index Page"},{"id":438651,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PR7T2W","text":"USGS data release","linkHelpText":"Assessing the robustness of quantitative fatty acid signature analysis to assumption violations (Supplementary data)"},{"id":438650,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7N877TK","text":"USGS data release","linkHelpText":"QFASA Robustness to Assumption Violations: Computer Code"},{"id":314526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-06","publicationStatus":"PW","scienceBaseUri":"56a0bdc6e4b0961cf280dc10","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":588963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":589117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":589118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":589119,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157074,"text":"70157074 - 2016 - Seasonal and spatial patterns of growth of rainbow trout in the Colorado River in Grand Canyon, AZ","interactions":[],"lastModifiedDate":"2016-05-25T16:26:44","indexId":"70157074","displayToPublicDate":"2015-09-01T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and spatial patterns of growth of rainbow trout in the Colorado River in Grand Canyon, AZ","docAbstract":"<p><span>Rainbow trout (</span><i>Oncorhynchus mykiss</i><span>) have been purposely introduced in many regulated rivers, with inadvertent consequences on native fishes. We describe how trout growth rates and condition could be influencing trout population dynamics in a 130 km section of the Colorado River below Glen Canyon Dam based on a large-scale mark&ndash;recapture program where &sim;8000 rainbow trout were recaptured over a 3-year period (2012&ndash;2014). There were strong temporal and spatial variations in growth in both length and weight as predicted from von Bertalanffy and bioenergetic models, respectively. There was more evidence for seasonal variation in the growth coefficient and annual variation in the asymptotic length. Bioenergetic models showed more variability for growth in weight across seasons and years than across reaches. These patterns were consistent with strong seasonal variation in invertebrate drift and effects of turbidity on foraging efficiency. Highest growth rates and relative condition occurred in downstream reaches with lower trout densities. Results indicate that reduction in rainbow trout abundance in Glen Canyon will likely increase trout size in the tailwater fishery and may reduce downstream dispersal into Grand Canyon.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2015-0102","usgsCitation":"Yard, M.D., Korman, J., Walters, C.J., and Kennedy, T., 2016, Seasonal and spatial patterns of growth of rainbow trout in the Colorado River in Grand Canyon, AZ: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 1, p. 125-139, https://doi.org/10.1139/cjfas-2015-0102.","productDescription":"15 p.","startPage":"125","endPage":"139","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063595","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488749,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/70979","text":"External Repository"},{"id":307998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.313232421875,\n              35.97356075349624\n            ],\n            [\n              -112.313232421875,\n              36.99816565700228\n            ],\n            [\n              -111.1651611328125,\n              36.99816565700228\n            ],\n            [\n              -111.1651611328125,\n              35.97356075349624\n            ],\n            [\n              -112.313232421875,\n              35.97356075349624\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"73","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15832e4b0dacf699eb978","contributors":{"authors":[{"text":"Yard, Micheal D. myard@usgs.gov","contributorId":147386,"corporation":false,"usgs":true,"family":"Yard","given":"Micheal","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":571505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":571506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Carl J.","contributorId":25122,"corporation":false,"usgs":true,"family":"Walters","given":"Carl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":571507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, T.A.","contributorId":86155,"corporation":false,"usgs":true,"family":"Kennedy","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":571804,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70158925,"text":"70158925 - 2016 - In defense of Magnetite-Ilmenite Thermometry in the Bishop Tuff and its implication for gradients in silicic magma reservoirs","interactions":[],"lastModifiedDate":"2016-02-11T10:30:17","indexId":"70158925","displayToPublicDate":"2015-09-01T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"In defense of Magnetite-Ilmenite Thermometry in the Bishop Tuff and its implication for gradients in silicic magma reservoirs","docAbstract":"<p>Despite claims to the contrary, the compositions of magnetite and ilmenite in the Bishop Tuff correctly record the changing conditions of <i>T</i> and <i>fO<sub>2</sub></i> in the magma reservoir. In relatively reduced (<span>∆NNO &lt; 1) siliceous magmas (e.g., Bishop Tuff, Taupo units), Ti behaves compatibly (D<i><sub>Ti</sub></i>&nbsp;&asymp; 2-3.5), leading to a decrease in TiO<sub>2</sub> activity in the melt with cooling and fractionation. In contrast, FeTi-oxides are poorer in TiO<sub>2</sub> in more oxidized magmas (∆NNO &gt; 1, e.g., Fish Canyon Tuff, Pinatubo), and the <i>d(a</i>TiO<sub>2</sub>)/<i>dT</i> slope can be negative. Biotite, FeTi-oxides, liquid, and possibly plagioclase largely maintained equilibrium in the Bishop Tuff magma (unlike the pyroxenes, and cores of quartz, sanidine, and zircon) prior ro and during a mixing event triggered by a deeper recharge, which, based on elemental diffusion profiles in minerals, took place at least several decades before eruption. Equilibrating phases and pumice compositions show evolving chemical variations that correlate well with mutually consistent temperatures based on the FeTi-oxides, sanidine-plagioclase, and&nbsp;∆<sup>18</sup>O quartz-magnetite pairs. Early Bishop Tuff (EBT) temperatures are lower (700 to ~780&lrm;&deg;C) than temperatures (780 to &gt;820&deg;C) registered in Late Bishop Tuff (LBT), the latter defined here not strictly stratigraphically, but by the presence of orthopyroxene and reverse-zoned rims on quartz and sanidine. The claimed similarity in compositions, Zr-saturation temperatures and thermodynamically calculated temperatures (730-740&deg;C) between EBT and less evolved LBT reflect the use of glass inclusions in quartz cores in LBT that were inherited from the low temperature rhyolitic part of the reservoir characteristic of the EBT. LBT temperatures as high as 820&deg;C, the preservation of orthopyroxene, and the presence of reverse-zoned minerals (quartz, sanidine, zircons) are consistent with magma recharge at the base of the zoned reservoir, heating the cooler rhyolitic melt, partly remelting cumulate mush, and introducing enough CO<sub>2</sub> (0.4-1.4 wt%, mostly contained in the exsolved fluid phase) to significantly lower H<sub>2</sub>O-activity in the system.</span></p>","language":"English","publisher":"Mineralogical Society of America","publisherLocation":"Washington, D.C.","doi":"10.2138/am-2016-5367","usgsCitation":"Evans, B.W., Hildreth, E., Bachmann, O., and Scaillet, B., 2016, In defense of Magnetite-Ilmenite Thermometry in the Bishop Tuff and its implication for gradients in silicic magma reservoirs: American Mineralogist, v. 101, no. 2, p. 469-482, https://doi.org/10.2138/am-2016-5367.","productDescription":"14 p.","startPage":"469","endPage":"482","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065012","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471460,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-01293443","text":"External Repository"},{"id":309883,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-02","publicationStatus":"PW","scienceBaseUri":"561f7cb7e4b03ee62faa8fe6","contributors":{"authors":[{"text":"Evans, Bernard W","contributorId":149095,"corporation":false,"usgs":false,"family":"Evans","given":"Bernard","email":"","middleInitial":"W","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":576887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hildreth, Edward 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":146999,"corporation":false,"usgs":true,"family":"Hildreth","given":"Edward","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":576886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bachmann, Olivier","contributorId":101030,"corporation":false,"usgs":true,"family":"Bachmann","given":"Olivier","affiliations":[],"preferred":false,"id":576888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scaillet, Bruno","contributorId":149096,"corporation":false,"usgs":false,"family":"Scaillet","given":"Bruno","email":"","affiliations":[{"id":17639,"text":"CNRS, Universite d'Orleans, France","active":true,"usgs":false}],"preferred":false,"id":576889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157483,"text":"70157483 - 2016 - 1DTempPro V2: new features for inferring groundwater/surface-water exchange","interactions":[],"lastModifiedDate":"2016-05-12T10:28:50","indexId":"70157483","displayToPublicDate":"2015-09-01T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1866,"text":"Groundwater Monitoring & Remediation","active":true,"publicationSubtype":{"id":10}},"title":"1DTempPro V2: new features for inferring groundwater/surface-water exchange","docAbstract":"<p><span>A new version of the computer program 1DTempPro extends the original code to include new capabilities for (1) automated parameter estimation, (2) layer heterogeneity, and (3) time-varying specific discharge. The code serves as an interface to the U.S. Geological Survey model VS2DH and supports analysis of vertical one-dimensional temperature profiles under saturated flow conditions to assess groundwater/surface-water exchange and estimate hydraulic conductivity for cases where hydraulic head is known.</span></p>","language":"English","publisher":"National Ground Water Association","publisherLocation":"Worthington, OH","doi":"10.1111/gwat.12369","collaboration":"US EPA; USGS Groundwater Resources Program; USGS Toxic Substances Hydrology Program","usgsCitation":"Koch, F.W., Voytek, E.B., Day-Lewis, F.D., Healy, R.W., Briggs, M.A., Lane, J.W., and Werkema, D.D., 2016, 1DTempPro V2: new features for inferring groundwater/surface-water exchange: Groundwater Monitoring & Remediation, v. 54, no. 3, p. 434-439, https://doi.org/10.1111/gwat.12369.","productDescription":"6 p.","startPage":"434","endPage":"439","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066878","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":438652,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76T0JQS","text":"USGS data release","linkHelpText":"1DTempPro: A program for analysis of vertical one-dimensional (1D) temperature profiles"},{"id":309369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-15","publicationStatus":"PW","scienceBaseUri":"560d07abe4b058f706e542f3","contributors":{"authors":[{"text":"Koch, Franklin W.","contributorId":147929,"corporation":false,"usgs":false,"family":"Koch","given":"Franklin","email":"","middleInitial":"W.","affiliations":[{"id":16958,"text":"USGS, OGW Branch of Geophysics & Univ. of Calgary","active":true,"usgs":false}],"preferred":false,"id":573286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voytek, Emily B. 0000-0003-0981-453X ebvoytek@usgs.gov","orcid":"https://orcid.org/0000-0003-0981-453X","contributorId":3575,"corporation":false,"usgs":true,"family":"Voytek","given":"Emily","email":"ebvoytek@usgs.gov","middleInitial":"B.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":573285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":573287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":573288,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":573289,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":573290,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":573291,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159326,"text":"70159326 - 2016 - Prediction of plant vulnerability to salinity increase in a coastal ecosystem by stable isotopic composition (δ<sup>18</sup>O) of plant stem water: a model study","interactions":[],"lastModifiedDate":"2016-08-25T08:32:50","indexId":"70159326","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of plant vulnerability to salinity increase in a coastal ecosystem by stable isotopic composition (δ<sup>18</sup>O) of plant stem water: a model study","docAbstract":"<p><span>Sea level rise and the subsequent intrusion of saline seawater can result in an increase in soil salinity, and potentially cause coastal salinity-intolerant vegetation (for example, hardwood hammocks or pines) to be replaced by salinity-tolerant vegetation (for example, mangroves or salt marshes). Although the vegetation shifts can be easily monitored by satellite imagery, it is hard to predict a particular area or even a particular tree that is vulnerable to such a shift. To find an appropriate indicator for the potential vegetation shift, we incorporated stable isotope <sup>18</sup>O abundance as a tracer in various hydrologic components (for example, vadose zone, water table) in a previously published model describing ecosystem shifts between hammock and mangrove communities in southern Florida. Our simulations showed that (1) there was a linear relationship between salinity and the &delta;<sup>18</sup>O value in the water table, whereas this relationship was curvilinear in the vadose zone; (2) hammock trees with higher probability of being replaced by mangroves had higher &delta;<sup>18</sup>O values of plant stem water, and this difference could be detected 2 years before the trees reached a tipping point, beyond which future replacement became certain; and (3) individuals that were eventually replaced by mangroves from the hammock tree population with a 50% replacement probability had higher stem water &delta;<sup>18</sup>O values 3 years before their replacement became certain compared to those from the same population which were not replaced. Overall, these simulation results suggest that it is promising to track the yearly &delta;<sup>18</sup>O values of plant stem water in hammock forests to predict impending salinity stress and mortality.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10021-015-9916-3","usgsCitation":"Zhai, L., Jiang, J., DeAngelis, D.L., and Sternberg, L.D., 2016, Prediction of plant vulnerability to salinity increase in a coastal ecosystem by stable isotopic composition (δ<sup>18</sup>O) of plant stem water: a model study: Ecosystems, v. 19, no. 1, p. 32-49, https://doi.org/10.1007/s10021-015-9916-3.","productDescription":"18 p.","startPage":"32","endPage":"49","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068438","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":310336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-21","publicationStatus":"PW","scienceBaseUri":"562a08e5e4b011227bf1fdbd","contributors":{"authors":[{"text":"Zhai, Lu","contributorId":147395,"corporation":false,"usgs":false,"family":"Zhai","given":"Lu","affiliations":[{"id":16839,"text":"Department of Biology, University of Miami, Coral Gables, Florida","active":true,"usgs":false}],"preferred":false,"id":578048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":578049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":578016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sternberg, Leonel d.S.L","contributorId":67051,"corporation":false,"usgs":true,"family":"Sternberg","given":"Leonel","email":"","middleInitial":"d.S.L","affiliations":[],"preferred":false,"id":578050,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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