{"pageNumber":"781","pageRowStart":"19500","pageSize":"25","recordCount":184617,"records":[{"id":70202816,"text":"70202816 - 2019 - Polychlorinated biphenyl tissue‐concentration thresholds for survival, growth, and reproduction in fish","interactions":[],"lastModifiedDate":"2019-03-27T09:56:38","indexId":"70202816","displayToPublicDate":"2018-12-11T09:55:12","publicationYear":"2019","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":"Polychlorinated biphenyl tissue‐concentration thresholds for survival, growth, and reproduction in fish","docAbstract":"Polychlorinated biphenyls (PCBs) have left a legacy of environmental contamination. Even though they were banned from production and active use in the 1970s, they persist in the environment and still have the potential to impact aquatic life. Our objective was to identify data from controlled laboratory studies of PCB‐related adverse effects in fish and to conduct a meta‐analysis on mortality, growth, and reproductive (MGR) threshold responses. For each endpoint type, we compiled data on the lowest‐observed‐adverse effect concentration (LOAEC) and the degree of effect at the LOAEC as a percentage of control. The LOAECs were expressed as tissue concentrations, so the term lowest‐observed‐adverse‐effect residue concentration (LOAER) was used to represent PCB exposures. The lower limit of applicability was set at 0.1 μg/g total PCB tissue concentration, below which adverse MGR effects in fish were not supported by the data. Sensitivity distributions identifying the probability of adverse effects in fish populations or communities predicted that 25% of fish species would be impacted between 0.1 and 7.5 μg/g. Concentration–response threshold regressions were developed from the MGR datasets. For example, a 1 μg/g total PCB tissue concentration would predict effects of 17% mortality, 15% growth, and 39% reproductive. The analysis determined the degree of adverse response, with uncertainty estimates, expected across a broad range of PCB tissue exposure concentrations in fish. Data generated from MGR endpoints were combined to determine an approach for overall effect thresholds for PCB‐related injury in fish. The MGR datasets included only laboratory data; however, responses were compared with field‐observed effects. The present review provides a comprehensive assessment of PCB‐induced injury in fish utilizing a data‐inclusive approach.","language":"English","publisher":"Wiley","doi":"10.1002/etc.4335","usgsCitation":"Berninger, J.P., and Tillitt, D.E., 2019, Polychlorinated biphenyl tissue‐concentration thresholds for survival, growth, and reproduction in fish: Environmental Toxicology and Chemistry, v. 38, no. 4, p. 712-736, https://doi.org/10.1002/etc.4335.","productDescription":"25 p.","startPage":"712","endPage":"736","ipdsId":"IP-084363","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468028,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4335","text":"Publisher Index Page"},{"id":362360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Berninger, Jason P. 0000-0003-3045-7899","orcid":"https://orcid.org/0000-0003-3045-7899","contributorId":211133,"corporation":false,"usgs":true,"family":"Berninger","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":760134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":760135,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206559,"text":"70206559 - 2019 - Do life history traits influence patterns of maternal immune elements in New World blackbirds (Icteridae)?","interactions":[],"lastModifiedDate":"2019-11-08T09:20:05","indexId":"70206559","displayToPublicDate":"2018-12-11T09:14:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5885,"text":"Integrative Organismal Biology","active":true,"publicationSubtype":{"id":10}},"title":"Do life history traits influence patterns of maternal immune elements in New World blackbirds (Icteridae)?","docAbstract":"<p><span>Avian immunology developed originally by investigating domesticated poultry species (Galliformes), but in recent decades eco-immunological studies of wild bird species have revealed that avian immune systems are more diverse than initially assumed. This study compares six immunological elements in eggs of six species within the same family, the New World blackbirds (Icteridae),whose members differ most notably in two life history parameters, brood parasitism and body size. We measured the maternal immune investment of passive immune components in both yolk and albumen: lysozyme, ovotransferrin, and immunoglobulins (Igs), and LPS-specific Igs. We predicted that brood parasites would have higher levels of immune activity for both innate and adaptive immunity compared with non-brood parasites, and that increased body size could increase microbial exposure of larger animals, resulting in an increase in some adaptive immune responses, such as LPS-specific Igs. We found that brood parasites had significantly higher levels of Igs and lysozyme levels in albumen, but significantly lower levels of Igs in yolk compared with non-brood parasites. Igs in yolk scaled according to body size, with the smallest organisms (the brood parasites) having the lowest levels, and the largest organism (common grackle) having the highest. Our results confirm the findings of other studies of comparative immunity among species in a single taxon that (1) similarities in immune investment cannot be assumed among closely related species and (2) single measures of immune defense cannot be assumed to be indicators of a species’ overall immune strategy, as life history traits can differentially affect immune responses.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/iob/oby011","usgsCitation":"Fassbinder-Orth, C., Igl, L., Hahn, D., Watts, K.M., Wilcoxon, T., and Ramos-Alvarez, K., 2019, Do life history traits influence patterns of maternal immune elements in New World blackbirds (Icteridae)?: Integrative Organismal Biology, v. 1, no. 1, https://doi.org/10.1093/iob/oby011.","productDescription":"oby011, 12 p.","startPage":"1-12","ipdsId":"IP-089571","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/iob/oby011","text":"Publisher Index Page"},{"id":369081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, Puerto Rico, South Dakota","city":"Cabo Rojo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.1700668334961,\n              18.03652451536251\n            ],\n            [\n              -67.10586547851562,\n              18.03652451536251\n            ],\n            [\n              -67.10586547851562,\n              18.105392315190315\n            ],\n            [\n              -67.1700668334961,\n              18.105392315190315\n            ],\n            [\n              -67.1700668334961,\n              18.03652451536251\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.150390625,\n              42.53689200787315\n            ],\n            [\n              -96.48193359375,\n              42.53689200787315\n            ],\n            [\n              -96.48193359375,\n              49.081062364320736\n            ],\n            [\n              -104.150390625,\n              49.081062364320736\n            ],\n            [\n              -104.150390625,\n              42.53689200787315\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Fassbinder-Orth, Carol","contributorId":167623,"corporation":false,"usgs":false,"family":"Fassbinder-Orth","given":"Carol","email":"","affiliations":[{"id":24786,"text":"Creighton University, Omaha, NE, 68178, USA","active":true,"usgs":false}],"preferred":false,"id":774934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":214801,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":774933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hahn, D. Caldwell 0000-0002-5242-2059","orcid":"https://orcid.org/0000-0002-5242-2059","contributorId":26055,"corporation":false,"usgs":true,"family":"Hahn","given":"D. Caldwell","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":774932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watts, Kelsey M.","contributorId":220447,"corporation":false,"usgs":false,"family":"Watts","given":"Kelsey","email":"","middleInitial":"M.","affiliations":[{"id":40171,"text":"Creighton University","active":true,"usgs":false}],"preferred":false,"id":774937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilcoxon, Travis 0000-0002-9492-8859","orcid":"https://orcid.org/0000-0002-9492-8859","contributorId":220446,"corporation":false,"usgs":false,"family":"Wilcoxon","given":"Travis","email":"","affiliations":[{"id":40170,"text":"Millikin University","active":true,"usgs":false}],"preferred":false,"id":774936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramos-Alvarez, Katsi","contributorId":220445,"corporation":false,"usgs":false,"family":"Ramos-Alvarez","given":"Katsi","email":"","affiliations":[{"id":40169,"text":"Departamento de Recursos Naturales y Ambientales de Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":774935,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70217859,"text":"70217859 - 2019 - Beta diversity response to stress severity and heterogeneity in sensitive versus tolerant stream diatoms","interactions":[],"lastModifiedDate":"2021-02-08T13:38:21.190833","indexId":"70217859","displayToPublicDate":"2018-12-11T07:33:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Beta diversity response to stress severity and heterogeneity in sensitive versus tolerant stream diatoms","docAbstract":"<h3 id=\"ddi12865-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Severity and heterogeneity of stress are major constraints of beta diversity, but their relative influence is poorly understood. Here, we addressed this question by examining the patterns of beta diversity in stress‐sensitive versus stress‐tolerant stream diatoms and their response to local versus regional factors along gradients of stress severity and heterogeneity.</p><h3 id=\"ddi12865-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>The Adirondack region of New York.</p><h3 id=\"ddi12865-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>Beta diversity was measured as multivariate dispersion of communities across high stress, low stress, and high + low stress (heterogeneous) environments, encompassing 200 stream samples. Null models were implemented to assess community similarity relative to randomly assembled communities and the importance of local assembly processes versus the regional species pool.</p><h3 id=\"ddi12865-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>The overall beta diversity was influenced by a combination of severity and heterogeneity of stress, while beta diversity of sensitive species increased with heterogeneity. Beta diversity of tolerant species did not vary with either severity or heterogeneity of stress. Heterogeneity decreased community similarity relative to the null expectation in all groups of species. Stress reduced the importance of local assembly mechanisms for the overall beta diversity and sensitive species beta diversity. In contrast, the importance of local assembly mechanisms increased with stress regarding beta diversity of tolerant species.</p><h3 id=\"ddi12865-sec-0005-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>Beta diversity responded to both severity and heterogeneity of stress, but turnover along these gradients was mostly driven by sensitive species. The overall beta diversity and beta diversity of sensitive species became more constrained by the depauperate regional species pool, as opposed to local assembly mechanisms. While heterogeneous stress contributed to beta diversity, severe stress suppressed beta diversity through elimination of sensitive species. Therefore, an increase in beta diversity in an environmentally‐stressed region may serve as a forewarning for future loss of sensitive species, should the stress continue to intensify.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12865","usgsCitation":"Pound, K., Lawrence, G.B., and Passy, S., 2019, Beta diversity response to stress severity and heterogeneity in sensitive versus tolerant stream diatoms: Diversity and Distributions, v. 25, no. 3, p. 374-384, https://doi.org/10.1111/ddi.12865.","productDescription":"11 p.","startPage":"374","endPage":"384","ipdsId":"IP-073100","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":468030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12865","text":"Publisher Index Page"},{"id":383086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park, Black River basin, Oswegatchie River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.3936767578125,\n              43.201171681272456\n            ],\n            [\n              -74.33349609375,\n              43.201171681272456\n            ],\n            [\n              -74.33349609375,\n              44.453388800301774\n            ],\n            [\n              -75.3936767578125,\n              44.453388800301774\n            ],\n            [\n              -75.3936767578125,\n              43.201171681272456\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Pound, Katrina L","contributorId":139826,"corporation":false,"usgs":false,"family":"Pound","given":"Katrina L","affiliations":[{"id":13288,"text":"Graduate student, Dept of Biology, Univ of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":809943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Passy, Sophia","contributorId":248812,"corporation":false,"usgs":false,"family":"Passy","given":"Sophia","affiliations":[{"id":50025,"text":"Associate Professor, University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":809945,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201280,"text":"70201280 - 2019 - Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models","interactions":[],"lastModifiedDate":"2018-12-10T12:41:37","indexId":"70201280","displayToPublicDate":"2018-12-10T12:41:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models","docAbstract":"<p><span>Gully erosion&nbsp;susceptibility mapping is a fundamental tool for&nbsp;land-use planning&nbsp;aimed at mitigating&nbsp;land degradation. However, the capabilities of some state-of-the-art&nbsp;data-mining&nbsp;models for developing accurate maps of gully erosion susceptibility have not yet been fully investigated. This study assessed and compared the performance of two different types of data-mining models for accurately mapping gully erosion susceptibility at a regional scale in Chavar, Ilam, Iran. The two methods evaluated were: Certainty Factor (CF), a bivariate statistical model; and Maximum&nbsp;Entropy&nbsp;(ME), an advanced&nbsp;machine learning&nbsp;model. Several geographic and&nbsp;</span>environmental factors<span>&nbsp;that can contribute to gully erosion were considered as predictor variables of gully erosion susceptibility. Based on an existing differential&nbsp;GPS&nbsp;survey inventory of gully erosion, a total of 63 eroded gullies were spatially randomly split in a 70:30 ratio for use in model calibration and validation, respectively.&nbsp;Accuracy assessments&nbsp;completed with the receiver operating characteristic curve method showed that the ME-based regional gully susceptibility map has an area under the curve (AUC) value of 88.6% whereas the CF-based map has an AUC of 81.8%. According to jackknife tests that were used to investigate the relative importance of predictor variables, aspect, distance to river,&nbsp;lithology&nbsp;and land use are the most influential factors for the&nbsp;spatial distribution&nbsp;of gully erosion susceptibility in this region of Iran. The gully erosion susceptibility maps produced in this study could be useful tools for land managers and engineers tasked with road development,&nbsp;urbanization&nbsp;and other future development.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.235","usgsCitation":"Azareh, A., Rahmati, O., Rafiei-Sardooi, E., Sankey, J.B., Lee, S., Shahabi, H., and Bin Ahmad, B., 2019, Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models: Science of the Total Environment, v. 655, p. 684-696, https://doi.org/10.1016/j.scitotenv.2018.11.235.","productDescription":"13 p.","startPage":"684","endPage":"696","ipdsId":"IP-091094","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.235","text":"Publisher Index Page"},{"id":360103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iran","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              46.1667,\n              33.3333\n            ],\n            [\n              47,\n              33.3333\n            ],\n            [\n              47,\n              33.8333\n            ],\n            [\n              46.1667,\n              33.8333\n            ],\n            [\n              46.1667,\n              33.3333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"655","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f8977e4b0c53ecb2c71de","contributors":{"authors":[{"text":"Azareh, Ali","contributorId":211256,"corporation":false,"usgs":false,"family":"Azareh","given":"Ali","email":"","affiliations":[{"id":38202,"text":"Department of Geography, University of Jiroft, Kerman, Iran","active":true,"usgs":false}],"preferred":false,"id":753469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rahmati, Omid","contributorId":211254,"corporation":false,"usgs":false,"family":"Rahmati","given":"Omid","email":"","affiliations":[{"id":38200,"text":"Department of Watershed Management, Faculty of Agriculture and Natural Resources Management, Lorestan University, Iran","active":true,"usgs":false}],"preferred":false,"id":753467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rafiei-Sardooi, Elham","contributorId":211257,"corporation":false,"usgs":false,"family":"Rafiei-Sardooi","given":"Elham","email":"","affiliations":[{"id":38203,"text":"Faculty of Natural Resources, University of Jiroft, Kerman, Iran","active":true,"usgs":false}],"preferred":false,"id":753470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":753466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Saro","contributorId":211255,"corporation":false,"usgs":false,"family":"Lee","given":"Saro","email":"","affiliations":[{"id":38201,"text":"Geological Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon 305350, Korea","active":true,"usgs":false}],"preferred":false,"id":753468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shahabi, Himan","contributorId":211258,"corporation":false,"usgs":false,"family":"Shahabi","given":"Himan","email":"","affiliations":[{"id":38204,"text":"Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran","active":true,"usgs":false}],"preferred":false,"id":753471,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bin Ahmad, Baharin","contributorId":211259,"corporation":false,"usgs":false,"family":"Bin Ahmad","given":"Baharin","email":"","affiliations":[{"id":38205,"text":"Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM), Malaysia","active":true,"usgs":false}],"preferred":false,"id":753472,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70201281,"text":"70201281 - 2019 - Energetic constraints and the paradox of a diffusing population in a heterogeneous environment","interactions":[],"lastModifiedDate":"2019-01-28T08:37:33","indexId":"70201281","displayToPublicDate":"2018-12-10T12:36:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3593,"text":"Theoretical Population Biology","active":true,"publicationSubtype":{"id":10}},"title":"Energetic constraints and the paradox of a diffusing population in a heterogeneous environment","docAbstract":"<p><span>Previous mathematical analyses have shown that, for certain parameter ranges, a population, described by logistic equations on a set of connected patches, and diffusing among them, can reach a higher equilibrium total population when the local carrying capacities are heterogeneously distributed across patches, than when carrying capacities having the same total sum are homogeneously distributed across the patches. It is shown here that this apparently paradoxical result is explained when the resultant differences in energy inputs to the whole multi-patch system are taken into account. We examine both Pearl–Verhulst and Original Verhulst logistic models and show that, when total input of energy or limiting resource, is constrained to be the same in the homogeneous and heterogeneous cases, the total population in the heterogeneous patches can never reach an asymptotic equilibrium that is greater than the sum of the carrying capacities over the homogeneous patches. We further show that, when the dynamics of the limiting resources are explicitly modeled, as in a chemostat model, the paradoxical result of the logistic models does not occur. These results have implications concerning the use of some ubiquitous equations of population ecology in modeling populations in space.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tpb.2018.11.003","usgsCitation":"Wang, Y., and DeAngelis, D.L., 2019, Energetic constraints and the paradox of a diffusing population in a heterogeneous environment: Theoretical Population Biology, v. 125, p. 30-37, https://doi.org/10.1016/j.tpb.2018.11.003.","productDescription":"8 p.","startPage":"30","endPage":"37","ipdsId":"IP-092638","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tpb.2018.11.003","text":"Publisher Index Page"},{"id":360102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f8979e4b0c53ecb2c71e5","contributors":{"authors":[{"text":"Wang, Yuanshi","contributorId":207814,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanshi","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":753474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":753473,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223253,"text":"70223253 - 2019 - Running on empty: Recharge dynamics from animal movement data","interactions":[],"lastModifiedDate":"2021-08-19T16:21:18.119233","indexId":"70223253","displayToPublicDate":"2018-12-09T11:19:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Running on empty: Recharge dynamics from animal movement data","docAbstract":"<p><span>Vital rates such as survival and recruitment have always been important in the study of population and community ecology. At the individual level, physiological processes such as energetics are critical in understanding biomechanics and movement ecology and also scale up to influence food webs and trophic cascades. Although vital rates and population-level characteristics are tied with individual-level animal movement, most statistical models for telemetry data are not equipped to provide inference about these relationships because they lack the explicit, mechanistic connection to physiological dynamics. We present a framework for modelling telemetry data that explicitly includes an aggregated physiological process associated with decision making and movement in heterogeneous environments. Our framework accommodates a wide range of movement and physiological process specifications. We illustrate a specific model formulation in continuous-time to provide direct inference about gains and losses associated with physiological processes based on movement. Our approach can also be extended to accommodate auxiliary data when available. We demonstrate our model to infer mountain lion (</span><i>Puma concolor</i><span>; in Colorado, USA) and African buffalo (</span><i>Syncerus caffer</i><span>; in Kruger National Park, South Africa) recharge dynamics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.13198","usgsCitation":"Hooten, M., Scharf, H.R., and Morales, J.M., 2019, Running on empty: Recharge dynamics from animal movement data: Ecology Letters, v. 22, no. 2, p. 377-389, https://doi.org/10.1111/ele.13198.","productDescription":"13 p.","startPage":"377","endPage":"389","ipdsId":"IP-101207","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468032,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.gla.ac.uk/277798/","text":"External Repository"},{"id":388161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-12-09","publicationStatus":"PW","contributors":{"authors":[{"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":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharf, Henry R.","contributorId":206652,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","email":"","middleInitial":"R.","affiliations":[{"id":37371,"text":"Colorado State University, Department of Statistics","active":true,"usgs":false}],"preferred":false,"id":821533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morales, Juan M.","contributorId":171521,"corporation":false,"usgs":false,"family":"Morales","given":"Juan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":821534,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201225,"text":"70201225 - 2019 - Coastal wetlands: A synthesis","interactions":[],"lastModifiedDate":"2018-12-07T15:18:55","indexId":"70201225","displayToPublicDate":"2018-12-07T15:18:52","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coastal wetlands: A synthesis","docAbstract":"<p><span>This book and this synthesis address the pressing need for better management of&nbsp;coastal wetlands&nbsp;worldwide because these&nbsp;wetlands&nbsp;are disappearing at an alarming rate; in some countries the loss is 70%–80% in the last 50</span><span>&nbsp;</span><span>years. Managing requires understanding. Although our understanding of the functioning of coastal wetland ecosystems has grown rapidly over the past decade, still much remains to be learned and understood. We have gained insight into the roles of&nbsp;geomorphic processes, hydrologic dynamics, biotic feedback, and disturbance agents in creating and molding a variety of coastal wetland ecosystems across climatic gradients. The variety is expressed not so much in the more obvious differences in&nbsp;vegetation cover, but rather how physical processes both facilitate and constrain a diversity of plant and&nbsp;animal communities. At one level, coastal wetlands are the product of tidal forces and&nbsp;freshwater inputs&nbsp;at the margin of continents. At another level, the plants control the&nbsp;water currents&nbsp;in the tidal creeks draining the wetlands by generating a&nbsp;tidal current&nbsp;asymmetry that controls&nbsp;sediment transport&nbsp;and results in a deep tidal creek surrounded by shallow vegetated wetlands. The vegetation also influences the physics of water and sediment through several other processes including&nbsp;biofilms,&nbsp;bioturbation&nbsp;of sediments, the buffeting of currents and waves, organic enrichment of sediments, and the closing of nutrient cycles. Few ecosystems provide us with so many clear examples of such&nbsp;feedback controls. What we do understand about the structure and functioning of coastal wetlands should provide the theoretical underpinnings for effective management in protecting them for their many contributions to ecosystem goods and services. What we do not understand should compel us to focus our attention and energies toward seeking optimal solutions to some of the most perplexing and urgent problems facing&nbsp;natural resource management.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal wetlands: An integrated ecosystem approach","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63893-9.00001-0","usgsCitation":"Hopkinson, C.S., Wolanski, E., Cahoon, D.R., Perillo, G.M., and Brinson, M.M., 2019, Coastal wetlands: A synthesis, chap. <i>of</i> Coastal wetlands: An integrated ecosystem approach, p. 1-75, https://doi.org/10.1016/B978-0-444-63893-9.00001-0.","productDescription":"75 p.","startPage":"1","endPage":"75","ipdsId":"IP-098675","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0b9570e4b0c53ecb2aca78","contributors":{"editors":[{"text":"Perillo, Gerardo M. E.","contributorId":211190,"corporation":false,"usgs":false,"family":"Perillo","given":"Gerardo","email":"","middleInitial":"M. E.","affiliations":[],"preferred":false,"id":753392,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wolanski, Eric","contributorId":82186,"corporation":false,"usgs":true,"family":"Wolanski","given":"Eric","affiliations":[],"preferred":false,"id":753393,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753394,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Hopkinson, Charles S.","contributorId":139745,"corporation":false,"usgs":false,"family":"Hopkinson","given":"Charles","email":"","middleInitial":"S.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":753395,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Hopkinson, Charles S.","contributorId":139745,"corporation":false,"usgs":false,"family":"Hopkinson","given":"Charles","email":"","middleInitial":"S.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":753326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolanski, Eric","contributorId":211163,"corporation":false,"usgs":false,"family":"Wolanski","given":"Eric","email":"","affiliations":[],"preferred":false,"id":753327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perillo, Gerardo M. E.","contributorId":211190,"corporation":false,"usgs":false,"family":"Perillo","given":"Gerardo","email":"","middleInitial":"M. E.","affiliations":[],"preferred":false,"id":753329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brinson, Mark M.","contributorId":211164,"corporation":false,"usgs":false,"family":"Brinson","given":"Mark","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":753328,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201226,"text":"70201226 - 2019 - Evaluating restored tidal freshwater wetlands","interactions":[],"lastModifiedDate":"2018-12-07T15:16:36","indexId":"70201226","displayToPublicDate":"2018-12-07T15:16:32","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evaluating restored tidal freshwater wetlands","docAbstract":"<p><span>As restoration of tidal freshwater&nbsp;wetlands&nbsp;has progressed in&nbsp;North America&nbsp;and Eurasia, research findings have continued to emerge on the postrestoration success of these ecosystems. The most common approaches used to restore tidal freshwater wetlands involve excavation or placement of dredged sediment to restore tidal&nbsp;</span>hydrology<span>&nbsp;compatible with vegetation establishment and managed realignment or diversion, which involves reconnecting former wetlands to tides by breaching&nbsp;dikes&nbsp;or levees. Postconstruction monitoring of tidal freshwater&nbsp;wetland restoration&nbsp;projects commonly includes not only studies of hydrology, soil, and vegetation but also geomorphology,&nbsp;microbial communities,&nbsp;seed banks, fish, birds, and invertebrates. Based on a review of assessment approaches and monitoring studies, we present criteria for evaluating tidal freshwater wetland restoration projects. In a case study, we apply these criteria to evaluate restored tidal freshwater wetlands in the highly urbanized Anacostia River watershed (Washington, DC, USA). We conclude that restoration can create tidal freshwater wetlands worldwide that share some structural or functional aspects with natural systems.&nbsp;Soil organic matter&nbsp;and microbial communities may be the slowest components to develop, and watershed&nbsp;urbanizationimposes strong constraints that prevent development of tidal freshwater wetlands similar to those in rural settings.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal wetlands: An integrated ecosystem approach","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63893-9.00025-3","usgsCitation":"Baldwin, A.H., Hammerschlag, R.S., and Cahoon, D.R., 2019, Evaluating restored tidal freshwater wetlands, chap. <i>of</i> Coastal wetlands: An integrated ecosystem approach, p. 889-912, https://doi.org/10.1016/B978-0-444-63893-9.00025-3.","productDescription":"24 p.","startPage":"889","endPage":"912","ipdsId":"IP-089855","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0b9572e4b0c53ecb2aca7a","contributors":{"editors":[{"text":"Perillo, Gerardo M. E.","contributorId":211190,"corporation":false,"usgs":false,"family":"Perillo","given":"Gerardo","email":"","middleInitial":"M. E.","affiliations":[],"preferred":false,"id":753388,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wolanski, Eric","contributorId":211163,"corporation":false,"usgs":false,"family":"Wolanski","given":"Eric","email":"","affiliations":[],"preferred":false,"id":753389,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753390,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Hopkinson, Charles S.","contributorId":139745,"corporation":false,"usgs":false,"family":"Hopkinson","given":"Charles","email":"","middleInitial":"S.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":753391,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Baldwin, Andrew H.","contributorId":11479,"corporation":false,"usgs":true,"family":"Baldwin","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":753386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammerschlag, Richard S.","contributorId":67206,"corporation":false,"usgs":true,"family":"Hammerschlag","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":753387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753330,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201236,"text":"70201236 - 2019 - Fire changes the spatial distribution and sources of soil organic carbon in a grassland-shrubland transition zone","interactions":[],"lastModifiedDate":"2019-02-21T14:47:10","indexId":"70201236","displayToPublicDate":"2018-12-07T15:01:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Fire changes the spatial distribution and sources of soil organic carbon in a grassland-shrubland transition zone","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Aims</strong></p><p id=\"Par1\" class=\"Para\">In many mixed grass-shrub ecosystems, increased shrub biomass tends to promote overall carbon storage, but the distribution of carbon pools may be complicated by disturbances such as wildfires. We investigated the spatial distribution of surface soil organic carbon (SOC) and its relative contribution from grasses and shrubs after fires in a grass-shrub transition zone in the northern Chihuahuan Desert, USA.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Methods</strong></p><p id=\"Par2\" class=\"Para\">We used a prescribed fire to create a burned treatment, then collected soil and plant samples. The biogeochemical approaches, geostatistical analyses, and carbon partitioning analyses were used to quantify the SOC and soil δ<sup>13</sup>C spatial patterns.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results</strong></p><p id=\"Par3\" class=\"Para\">Before the prescribed fire, up to 98% of the spatial dependence of SOC was autocorrelated at a distance of 1.91&nbsp;m, corresponding to the approximate average shrub canopy diameter, but the spatial dependence dropped to 81% at a larger autocorrelation distance (3.74&nbsp;m) two windy seasons after the fire. C<sub>4</sub><span>&nbsp;</span>grasses and C<sub>3</sub><span>&nbsp;</span>shrubs contributed approximately equal amounts of carbon to the surface SOC pool before the prescribed fire. However, C<sub>4</sub><span>&nbsp;</span>grasses became the dominant source of SOC two windy seasons following the fire. For individual microsites, a substantially increased proportion of SOC was derived from C<sub>4</sub><span>&nbsp;</span>grasses at the shrub microsites following the fire.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusions</strong></p><p id=\"Par4\" class=\"Para\">The higher proportion of C<sub>4</sub><span>&nbsp;</span>grasses-derived SOC at the shrub microsites post-fire suggests that SOC may have preferred pathways to move among different microsites following fire disturbance. The distinct spatial distribution patterns of δ<sup>13</sup>C, and the increased contribution of SOC from grasses may be explained by the rapid recovery of grasses following the fire. Overall, our results provide insights into how fire might be used as a management tool to alter soil carbon pools in the context of shrub encroachment.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s11104-018-3895-z","usgsCitation":"Wang, G., Li, J., Ravi, S., Theiling, B.P., and Sankey, J.B., 2019, Fire changes the spatial distribution and sources of soil organic carbon in a grassland-shrubland transition zone: Plant and Soil, v. 435, no. 1-2, p. 309-321, https://doi.org/10.1007/s11104-018-3895-z.","productDescription":"13 p.","startPage":"309","endPage":"321","ipdsId":"IP-099843","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":360063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"435","issue":"1-2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-01","publicationStatus":"PW","scienceBaseUri":"5c0b957ce4b0c53ecb2aca80","contributors":{"authors":[{"text":"Wang, Guan","contributorId":202741,"corporation":false,"usgs":false,"family":"Wang","given":"Guan","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":753356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Junran","contributorId":202740,"corporation":false,"usgs":false,"family":"Li","given":"Junran","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":753357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ravi, Sujith","contributorId":202738,"corporation":false,"usgs":false,"family":"Ravi","given":"Sujith","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":753359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Theiling, Bethany P.","contributorId":211174,"corporation":false,"usgs":false,"family":"Theiling","given":"Bethany","email":"","middleInitial":"P.","affiliations":[{"id":38191,"text":"Department of Geosciences, The University of Tulsa, Tulsa, OK, 74104, USA","active":true,"usgs":false}],"preferred":false,"id":753358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":753360,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202673,"text":"70202673 - 2019 - Acidification impacts and goals for gauging recovery of Brook Trout populations and fish communities in streams of the Western Adirondack Mountains, New York, USA","interactions":[],"lastModifiedDate":"2019-03-18T14:56:27","indexId":"70202673","displayToPublicDate":"2018-12-07T14:51:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Acidification impacts and goals for gauging recovery of Brook Trout populations and fish communities in streams of the Western Adirondack Mountains, New York, USA","docAbstract":"<p><span>Results from several long‐term monitoring programs in the western Adirondack Mountains, New York, indicate that acid–base chemistry of headwater streams has remained unchanged or improved only marginally since the 1990s. A paucity of quantitative fishery data, however, limits our understanding of the pre‐acidified communities as well as present‐day impacts of acidification on fish assemblages, which impedes efforts to evaluate temporal trends and biological recovery in streams of the region. Fish communities were characterized at 48 streams (chemistry was assessed at 47 streams) in the western Adirondacks at least once during summer 2014–2016 to assess present‐day effects of acidification on fish assemblages, refine important relations, and identify biological targets and chemical effect thresholds that could help gauge biological recovery across the region. Concentrations of inorganic aluminum (Al</span><sub>i</sub><span>) exceeded chronic and acute toxicity thresholds (1.0 and 2.0&nbsp;μmol/L) in 21.3% and 8.5%, respectively, of 47 study streams sampled during summer 2014–2016 and in 64.0% and 44.0% of 25 streams sampled during spring 2014–2015. In streams with summer Al</span><sub>i</sub><span>concentrations less than 1.0&nbsp;μmol/L, community richness, density, and biomass averaged 2.0 species, 444.2&nbsp;fish/0.1&nbsp;ha, and 1,924.4&nbsp;g/0.1&nbsp;ha, respectively, whereas density and biomass of Brook Trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;populations averaged 280.8&nbsp;fish/0.1&nbsp;ha and 1,384.0&nbsp;g/0.1&nbsp;ha, respectively. These findings identify defensible targets for biological recovery and show that Al</span><sub>i</sub><span>&nbsp;toxicity is not a major concern for fish assemblages in most streams during summer base flow periods but is potentially a serious issue for fish in as many as two‐thirds of streams during spring high flows. Though additional data are needed to address several limitations and information gaps, results from this study provide a sound foundation to gauge biological recovery, detect future effects of climatic stressors, and help ensure that functional stream ecosystems can be sustained or restored in parts of the Adirondacks.</span></p>","language":"English","publisher":"Wiley ","doi":"10.1002/tafs.10137","usgsCitation":"Baldigo, B., George, S., Lawrence, G., and Paul, E., 2019, Acidification impacts and goals for gauging recovery of Brook Trout populations and fish communities in streams of the Western Adirondack Mountains, New York, USA: Transactions of the American Fisheries Society, v. 148, no. 2, p. 373-392, https://doi.org/10.1002/tafs.10137.","productDescription":"20 p.","startPage":"373","endPage":"392","ipdsId":"IP-098030","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":468033,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10137","text":"Publisher Index Page"},{"id":362148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.26184082031249,\n              43.59630591596548\n            ],\n            [\n              -73.5150146484375,\n              43.59630591596548\n            ],\n            [\n              -73.5150146484375,\n              44.18220395771566\n            ],\n            [\n              -75.26184082031249,\n              44.18220395771566\n            ],\n            [\n              -75.26184082031249,\n              43.59630591596548\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"148","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldigo, Barry","contributorId":214240,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott","contributorId":214241,"corporation":false,"usgs":true,"family":"George","given":"Scott","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":214242,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paul, Eric","contributorId":214243,"corporation":false,"usgs":false,"family":"Paul","given":"Eric","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":759430,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204350,"text":"70204350 - 2019 - River reach restored by dam removal offers suitable spawning habitat for endangered Shortnose Sturgeon","interactions":[],"lastModifiedDate":"2019-07-18T14:39:38","indexId":"70204350","displayToPublicDate":"2018-12-07T14:38:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"River reach restored by dam removal offers suitable spawning habitat for endangered Shortnose Sturgeon","docAbstract":"The lowermost dam on the Penobscot River, Maine, was removed in 2013, making new habitat available for migratory fish. There is no evidence that endangered Shortnose Sturgeon Acipenser brevirostrum have spawned in the Penobscot River in recent years, but dam removal has facilitated access to potential freshwater habitat essential for spawning. Spawning success also depends on the quality of the available habitat. We sought to describe the distribution and amount of suitable spawning habitat in the first 5-km reach upstream of the removed dam. Previously collected river elevation and bottom substrate data were used to create two-dimensional hydrodynamic simulations of the reach for spring discharges ranging from 310 to 1480 m3 s-1 using the program River2D. Simulations were validated and adjusted using field-collected data. Suitable spawning habitat was predicted based on literature-informed suitability curves of depth, velocity, and bottom substrate. Between 41% and 63% of the study area offered usable spawning habitat, depending on river discharge. Velocity was the most limiting characteristic to overall suitability at all modeled discharges. Embeddedness was minimal at suitable sites. Based on the habitat characteristics considered, the newly accessible reach of the Penobscot River could support Shortnose Sturgeon spawning, offering critical habitat for this endangered species.","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10126","usgsCitation":"Zydlewski, J.D., Johnston, C., Gayle Barbin Zydlewski, Sean Smith, and Kinnison, M.T., 2019, River reach restored by dam removal offers suitable spawning habitat for endangered Shortnose Sturgeon: Transactions of the American Fisheries Society, v. 148, no. 1, p. 163-175, https://doi.org/10.1002/tafs.10126.","productDescription":"13 p.","startPage":"163","endPage":"175","ipdsId":"IP-079297","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468034,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/tafs.10126","text":"External Repository"},{"id":365727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":766468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Catherine","contributorId":217260,"corporation":false,"usgs":false,"family":"Johnston","given":"Catherine","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":766469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gayle Barbin Zydlewski","contributorId":217261,"corporation":false,"usgs":false,"family":"Gayle Barbin Zydlewski","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":766470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sean Smith","contributorId":217262,"corporation":false,"usgs":false,"family":"Sean Smith","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":766471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinnison, Michael T.","contributorId":169682,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":766472,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201221,"text":"70201221 - 2019 - Seasonality of nitrate sources and isotopic composition in the Upper Illinois River","interactions":[],"lastModifiedDate":"2018-12-07T13:48:06","indexId":"70201221","displayToPublicDate":"2018-12-07T13:47:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonality of nitrate sources and isotopic composition in the Upper Illinois River","docAbstract":"<p><span>To improve understanding of spatial, seasonal, and inter-annual variations in nitrate sources and in-stream processes in the Illinois River system, nitrate concentrations and isotopic compositions were measured in 445 water samples collected over a four-year period (2004–2008) from the Upper Illinois River Basin (UIRB). Samples included surface water in the river and major tributaries, effluent samples from Chicago’s largest wastewater treatment plant (WTP), and representative groundwater from shallow wells in agricultural land. Two principal nitrate endmember sources within the UIRB had distinctive isotopic compositions: WTP effluent with δ</span><sup>15</sup><span>N = 8.6 ± 1.7‰ and δ</span><sup>18</sup><span>O = 0.8 ± 1.4‰ and agricultural groundwater with δ</span><sup>15</sup><span>N-NO</span><sub>3</sub><span> = 3.4 ± 0.6‰ and δ</span><sup>18</sup><span>O = 3.7 ± 0.5‰ (when minimally affected by nitrate reduction). Isotopic data indicated that the large pulse of nitrate exported from the river basin during the spring was mostly derived from agricultural land drainage, while nitrate from large WTP effluent point sources was predominant in the upper reaches of the river near Chicago. During low base-flow conditions in late-summer and fall, the agricultural nitrate source was greatly diminished and the headwater WTP source was predominant in the river basin export. Our results indicated biogeochemical nitrate reduction and isotopic fractionation occurred within the river network, affecting both agricultural and urban sources during surface-water transport. In addition, diminished agricultural nitrate export was attributable to preferential discharge of biogeochemically reduced groundwater during low base flow. Isotopic indicators of spatial and seasonal variations in the relative importance of different nitrate sources, and their relative susceptibility to natural attenuation, might be useful for guiding monitoring and management practices to reduce nitrate export from complex watersheds with mixed land uses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.11.043","usgsCitation":"Lin, J., Bohlke, J., Huang, S., Gonzalez-Meler, M., and Sturchio, N.C., 2019, Seasonality of nitrate sources and isotopic composition in the Upper Illinois River: Journal of Hydrology, v. 568, p. 849-861, https://doi.org/10.1016/j.jhydrol.2018.11.043.","productDescription":"13 p.","startPage":"849","endPage":"861","ipdsId":"IP-100439","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468035,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2018.11.043","text":"Publisher Index Page"},{"id":437613,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93WD0TH","text":"USGS data release","linkHelpText":"Chemical and isotopic data for a study of seasonality of nitrate sources and isotopic composition in the Upper Illinois River, 2004-2008"},{"id":360057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Illinois River","volume":"568","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0b957ae4b0c53ecb2aca7c","contributors":{"authors":[{"text":"Lin, Jiajia","contributorId":211160,"corporation":false,"usgs":false,"family":"Lin","given":"Jiajia","email":"","affiliations":[{"id":38185,"text":"USEPA, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":753315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":753314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Sheng","contributorId":211161,"corporation":false,"usgs":false,"family":"Huang","given":"Sheng","email":"","affiliations":[{"id":38186,"text":"Washington DC Dept. of Energy and Environment","active":true,"usgs":false}],"preferred":false,"id":753316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez-Meler, Miquel","contributorId":211162,"corporation":false,"usgs":false,"family":"Gonzalez-Meler","given":"Miquel","email":"","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":753317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":753318,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215996,"text":"70215996 - 2019 - When ignimbrite meets water: Megascale gas-escape structures formed during welding","interactions":[],"lastModifiedDate":"2020-11-02T15:24:55.004234","indexId":"70215996","displayToPublicDate":"2018-12-07T09:18:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"When ignimbrite meets water: Megascale gas-escape structures formed during welding","docAbstract":"Diverse welding, crystallization, and structural features develop when a hot ignimbrite encounters external water, depending largely on volatile-rock ratios. Such processes are spectacularly documented by a regional ignimbrite, where ponded within an older caldera in the San Juan Mountains, Colorado. Interaction of hot pyroclastic flows with moist underlying sediments or standing water in a stream valley or shallow-lakeshore environment produced mega-scale gas-escape structures, quenched adjacent tuff, inhibited welding, and generated nonplanar crystallization zones. This site provides a context for reviewing examples of ignimbrite-water interaction elsewhere.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G45772.1","usgsCitation":"Lipman, P.W., 2019, When ignimbrite meets water: Megascale gas-escape structures formed during welding: Geology, v. 47, no. 1, p. 63-66, https://doi.org/10.1130/G45772.1.","productDescription":"4 p.","startPage":"63","endPage":"66","ipdsId":"IP-103031","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":380027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Juan Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.072265625,\n              36.94989178681327\n            ],\n            [\n              -104.853515625,\n              36.94989178681327\n            ],\n            [\n              -104.853515625,\n              38.30718056188316\n            ],\n            [\n              -109.072265625,\n              38.30718056188316\n            ],\n            [\n              -109.072265625,\n              36.94989178681327\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lipman, Peter W. 0000-0001-9175-6118","orcid":"https://orcid.org/0000-0001-9175-6118","contributorId":203612,"corporation":false,"usgs":true,"family":"Lipman","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803725,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70201539,"text":"70201539 - 2019 - Pulsed salmonfly emergence and its potential contribution to terrestrial detrital pools","interactions":[],"lastModifiedDate":"2019-01-28T08:29:07","indexId":"70201539","displayToPublicDate":"2018-12-06T13:08:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Pulsed salmonfly emergence and its potential contribution to terrestrial detrital pools","docAbstract":"<p><span>Adult&nbsp;aquatic insects&nbsp;are a globally important subsidy in&nbsp;terrestrial food webs. However, our understanding of their importance is largely limited to studies that measure&nbsp;predation&nbsp;of live insects by terrestrial&nbsp;predators. Yet the flux of adult aquatic insects to terrestrial detrital pools may also be an important subsidy pathway, particularly in cases where insect production exceeds the consumption capacity of predators. We used empirical measures of giant salmonfly (</span><span><i>Pteronarcys</i>&nbsp;californica</span><span>) emergence from 37 sites to model potential detrital deposition in nearshore riparian soil food webs. Typically, giant salmonflies emerge&nbsp;</span><i>en masse</i><span>&nbsp;for one week each year, and can be locally superabundant. Median detrital deposition by salmonflies ranged between 0.4 and 0.7 gC, 0.04 to 0.09 gN, and 0.002 to 0.005 gP/m</span><sup>2</sup><span>/yr, depending on whether 25% or 100% of available salmonflies entered detrital pools. For a small number of sites with large salmonfly populations, deposition equaled or exceeded&nbsp;annual&nbsp;secondary production of terrestrial insects, annual atmospheric N deposition, and annual atmospheric P deposition. The fact that these values rival yearly&nbsp;nutrient&nbsp;budgets is particularly striking because giant salmonfly deposition represents a subsidy from a single species emerging over a single week. The consequences of this deposition in terrestrial food webs are largely unknown, but it is likely that salmonflies can have important effects on nearshore soil nutrient budgets similar in magnitude to those of other important&nbsp;ecosystem&nbsp;processes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2018.e00105","usgsCitation":"Wesner, J., Walters, D., and Zuellig, R.E., 2019, Pulsed salmonfly emergence and its potential contribution to terrestrial detrital pools: Food Webs, v. 18, p. 1-7, https://doi.org/10.1016/j.fooweb.2018.e00105.","productDescription":"e00105; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-099294","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2018.e00105","text":"Publisher Index Page"},{"id":360371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c18c425e4b006c4f856acda","contributors":{"authors":[{"text":"Wesner, Jeff","contributorId":211583,"corporation":false,"usgs":false,"family":"Wesner","given":"Jeff","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":754419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":754418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201205,"text":"70201205 - 2019 - Impacts of nonnative Brown Trout on Yellowstone Cutthroat Trout in a tributary stream","interactions":[],"lastModifiedDate":"2019-02-21T14:47:54","indexId":"70201205","displayToPublicDate":"2018-12-06T11:04:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of nonnative Brown Trout on Yellowstone Cutthroat Trout in a tributary stream","docAbstract":"<p><span>Nonnative trout are a considerable threat to native salmonids, yet our understanding of the mechanisms behind interspecific interactions remains limited. We evaluated the impacts of nonnative Brown Trout&nbsp;</span><i>Salmo salar</i><span>&nbsp;on a population of Yellowstone Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i><span>&nbsp;in Montana. We contrasted diets, growth, and survival of Yellowstone Cutthroat Trout occurring in allopatry (i.e., where no Brown Trout were present) with individuals sympatric (i.e., co‐occurring) with nonnative Brown Trout. We assessed summer and autumn diets using gastric lavage methods and survival and growth using mark–recapture analyses. Overlap in diets at sites where Yellowstone Cutthroat Trout were sympatric with Brown Trout was high during July (Horn's index:&nbsp;</span><i>H</i><span>&nbsp;=&nbsp;0.94) and October (</span><i>H</i><span>&nbsp;=&nbsp;0.83). In the presence of Brown Trout, Yellowstone Cutthroat Trout growth rates were significantly lower for juvenile (&lt;175&nbsp;mm) length and adult (≥175&nbsp;mm) length and mass than in allopatric sites. Allopatric Yellowstone Cutthroat Trout survival was greater across size‐classes; the most pronounced difference was in the age‐2 size‐class (125–175&nbsp;mm). Together, these results in concert with observed changes in length‐frequency data, indicating a considerable lack of Yellowstone Cutthroat Trout recruitment where they are sympatric with Brown Trout, suggest the negative implications of Brown Trout are notable.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10244","usgsCitation":"Al-Chokhachy, R.K., and Sepulveda, A.J., 2019, Impacts of nonnative Brown Trout on Yellowstone Cutthroat Trout in a tributary stream: North American Journal of Fisheries Management, v. 39, no. 1, p. 17-28, https://doi.org/10.1002/nafm.10244.","productDescription":"12 p.","startPage":"17","endPage":"28","ipdsId":"IP-091263","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":359979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Duck Creek","volume":"39","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-27","publicationStatus":"PW","scienceBaseUri":"5c0a4356e4b0815414d28128","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":753215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":753216,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201209,"text":"70201209 - 2019 - Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams","interactions":[],"lastModifiedDate":"2018-12-06T10:46:43","indexId":"70201209","displayToPublicDate":"2018-12-06T10:46:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams","docAbstract":"<p><span>Complex chemical mixtures have been widely reported in larger streams but relatively little work has been done to characterize them and assess their potential effects in&nbsp;headwaterstreams. In 2014, the&nbsp;United States&nbsp;Geological Survey&nbsp;(USGS) sampled 54 Piedmont streams over ten weeks and measured 475 unique organic compounds using five&nbsp;analytical methods. Maximum and median exposure conditions were evaluated in relation to watershed characteristics and for potential biological effects using multiple lines of evidence. Results demonstrate that mixed-contaminant exposures are ubiquitous and varied in sampled headwater streams. Approximately 56% (264) of the 475 compounds were detected at least once across all sites. Cumulative maximum concentrations ranged 1,922–162,346 ng L</span><sup>−1</sup><span>&nbsp;per site. Chemical occurrence significantly correlated to&nbsp;urban land use&nbsp;but was not related to presence/absence of&nbsp;wastewater treatment&nbsp;facility discharges. Designed bioactive chemicals represent about 2/3rd of chemicals detected, notably pharmaceuticals and pesticides, qualitative evidence for possible adverse biological effects. Comparative Toxicogenomics Database chemical-gene associations applied to maximum exposure conditions indicate &gt;12,000 and 2,900 potential gene targets were predicted at least once across all sites for fish and invertebrates, respectively. Analysis of cumulative exposure-activity ratios provided additional evidence that, at a minimum, transient exposures with high probability of molecular effects to vertebrates were common. Finally, cumulative detections and concentrations correlated inversely with invertebrate metrics from in-stream surveys. The results demonstrate widespread instream exposure to extensive contaminant mixtures and compelling multiple lines of evidence for adverse effects on&nbsp;aquatic communities.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.186","usgsCitation":"Bradley, P.M., Journey, C.A., Berninger, J.P., Button, D.T., Clark, J.M., Corsi, S., DeCicco, L.A., Hopkins, K.G., Huffman, B.J., Nakagaki, N., Norman, J.E., Nowell, L.H., Qi, S.L., Van Metre, P.C., and Waite, I.R., 2019, Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams: Science of the Total Environment, v. 655, p. 70-83, https://doi.org/10.1016/j.scitotenv.2018.11.186.","productDescription":"14 p.","startPage":"70","endPage":"83","ipdsId":"IP-096193","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":468037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.186","text":"Publisher Index Page"},{"id":359977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88,\n              32\n            ],\n            [\n              -77,\n              32\n            ],\n            [\n              -77,\n              40\n            ],\n            [\n              -88,\n              40\n            ],\n            [\n              -88,\n              32\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"655","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0a4354e4b0815414d28122","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":189681,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science 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Center","active":true,"usgs":true}],"preferred":true,"id":753258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Jimmy M. 0000-0002-3138-5738 jmclark@usgs.gov","orcid":"https://orcid.org/0000-0002-3138-5738","contributorId":4773,"corporation":false,"usgs":true,"family":"Clark","given":"Jimmy","email":"jmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753260,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":174716,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":753261,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":753262,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huffman, Bradley J.","contributorId":211139,"corporation":false,"usgs":true,"family":"Huffman","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753263,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nakagaki, Naomi 0000-0003-3653-0540 nakagaki@usgs.gov","orcid":"https://orcid.org/0000-0003-3653-0540","contributorId":1067,"corporation":false,"usgs":true,"family":"Nakagaki","given":"Naomi","email":"nakagaki@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753264,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Norman, Julia E. 0000-0002-2820-6225 jnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2820-6225","contributorId":3832,"corporation":false,"usgs":true,"family":"Norman","given":"Julia","email":"jnorman@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753265,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":753266,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753267,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":753268,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753269,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70203671,"text":"70203671 - 2019 - Probability of streamflow permanence model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest","interactions":[],"lastModifiedDate":"2023-03-27T22:23:55.781374","indexId":"70203671","displayToPublicDate":"2018-12-05T16:31:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Probability of streamflow permanence model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest","docAbstract":"The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. Predictions correspond to any pixel on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid. Total annual precipitation and percent forest cover were consistently the most important predictor variables among global and most subregional models, which had error rates between 17 and 22%. Probabilities were converted to wet and dry streamflow permanence classes with an associated confidence. Wet and dry classifications were used to derive descriptors that characterize the statistical and spatial distribution of streamflow permanence in three focal basins. Predicted dry channel segments account for 52 to 92% of the stream network across the three focal basins; streamflow permanence decreased during climatically drier years. Predictions are publicly available through the USGS StreamStats platform. Results demonstrate the utility of the PROSPER model as a tool for identifying areas that may be resilient or sensitive to drought conditions, allowing for management efforts that target protecting critical reaches. Importantly, PROSPER’s successful predictive performance can be improved with new datasets of streamflow permanence underscoring the importance of field observations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2018.100005","usgsCitation":"Jaeger, K., Sando, R., McShane, R.R., Dunham, J.B., Hockman-Wert, D., Kaiser, K.E., Hafen, K., Risley, J., and Blasch, K.W., 2019, Probability of streamflow permanence model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest: Journal of Hydrology X, v. 2, 100005, 19 p., https://doi.org/10.1016/j.hydroa.2018.100005.","productDescription":"100005, 19 p.","onlineOnly":"N","ipdsId":"IP-093406","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":468038,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2018.100005","text":"Publisher Index Page"},{"id":437616,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CC0ZXH","text":"USGS data release","linkHelpText":"Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)"},{"id":437615,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77M0754","text":"USGS data release","linkHelpText":"Probability of Streamflow Permanence (PROSPER) Model Output Layers"},{"id":437614,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BV7FSP","text":"USGS data release","linkHelpText":"Streamflow Observation Points in the Pacific Northwest, 1977-2016"},{"id":364401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Oregon, Utah, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.24462890625,\n              49.023461463214126\n            ],\n            [\n              -123.02490234375,\n              48.76343113791796\n            ],\n            [\n              -123.26660156249999,\n              48.63290858589535\n            ],\n            [\n              -123.11279296875001,\n              48.37084770238366\n            ],\n            [\n              -123.3544921875,\n              48.19538740833338\n            ],\n            [\n              -123.72802734375,\n       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rmcshane@usgs.gov","orcid":"https://orcid.org/0000-0002-3128-0039","contributorId":195581,"corporation":false,"usgs":true,"family":"McShane","given":"Ryan","email":"rmcshane@usgs.gov","middleInitial":"R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":763532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":763533,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaiser, Kendra E. 0000-0003-1773-6236","orcid":"https://orcid.org/0000-0003-1773-6236","contributorId":211475,"corporation":false,"usgs":false,"family":"Kaiser","given":"Kendra","email":"","middleInitial":"E.","affiliations":[{"id":38255,"text":"Boise State Unviersity","active":true,"usgs":false}],"preferred":false,"id":763534,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hafen, Konrad 0000-0002-1451-362X","orcid":"https://orcid.org/0000-0002-1451-362X","contributorId":215959,"corporation":false,"usgs":true,"family":"Hafen","given":"Konrad","email":"","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763537,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Risley, John 0000-0002-8647-7031 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8647-7031","contributorId":215958,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763535,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Blasch, Kyle W. 0000-0002-0590-0724","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":203415,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763536,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70217078,"text":"70217078 - 2019 - The Albuquerque Seismological Lab WWSSN film chip preservation project","interactions":[],"lastModifiedDate":"2021-01-04T17:26:40.313299","indexId":"70217078","displayToPublicDate":"2018-12-05T11:07:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The Albuquerque Seismological Lab WWSSN film chip preservation project","docAbstract":"<p><span>From 1961 to 1996, the Albuquerque Seismological Laboratory (ASL) installed and operated the World‐Wide Standardized Seismograph Network (WWSSN). Each station within the network consisted of three Benioff short‐period sensors and three Sprengnether Press‐Ewing long‐period sensors along with recording, timing, and calibration equipment. Approximately 3.7 million single‐day record film chips were created from station records (paper seismograms) covering the period from 1962 to 1978. Two almost complete copies of these film chips are still known to exist at the ASL and at the Lamont–Doherty Earth Observatory (LDEO) as well as a couple of partial sets in other locations. To better preserve the data on these film chips, a project to scan the film chips and to make these scans available through the Incorporated Research Institutions for Seismology (IRIS) was started by W. H. K. Lee. The initial focus was on scanning film chips from a collection of specific earthquakes and nuclear events as well as complete scans of a number of reference stations. However, additional scans containing seismograms useful for climate studies were also completed. As part of this report, we cataloged all of the scanned WWSSN film chips with the hope that it serves as useful documentation as to what film chips have been scanned and of the location of the scans themselves at the IRIS‐Data Management Center (DMC) archive page (see&nbsp;</span><a class=\"sectionLink xref-sec\" href=\"https://pubs.geoscienceworld.org/ssa/srl/article/90/1/401/567498/The-Albuquerque-Seismological-Lab-WWSSN-Film-Chip#sc6\" data-mce-href=\"https://pubs.geoscienceworld.org/ssa/srl/article/90/1/401/567498/The-Albuquerque-Seismological-Lab-WWSSN-Film-Chip#sc6\">Data and Resources</a><span>).</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180275","usgsCitation":"Alejandro, A.C., Hutt, C.R., Ringler, A.T., Moore, S.V., Anthony, R.E., and Wilson, D.C., 2019, The Albuquerque Seismological Lab WWSSN film chip preservation project: Seismological Research Letters, v. 90, no. 1, p. 401-408, https://doi.org/10.1785/0220180275.","productDescription":"8 p.","startPage":"401","endPage":"408","ipdsId":"IP-103010","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":381853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Alejandro, Alexis Casondra Bianca 0000-0002-3401-9303","orcid":"https://orcid.org/0000-0002-3401-9303","contributorId":246023,"corporation":false,"usgs":true,"family":"Alejandro","given":"Alexis","email":"","middleInitial":"Casondra Bianca","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Sabrina Veronica 0000-0003-3059-8261","orcid":"https://orcid.org/0000-0003-3059-8261","contributorId":246022,"corporation":false,"usgs":true,"family":"Moore","given":"Sabrina","email":"","middleInitial":"Veronica","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807526,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70201190,"text":"70201190 - 2019 - Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management","interactions":[],"lastModifiedDate":"2018-12-05T10:49:25","indexId":"70201190","displayToPublicDate":"2018-12-05T10:49:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management","docAbstract":"<p><span>We present a conceptual model that explores the relationship of&nbsp;streamflow&nbsp;trends to 15 water-quality parameters at 370 sites across the contiguous&nbsp;United States&nbsp;(US). Our&nbsp;analytical framework&nbsp;uses discrete water-quality data, daily streamflow records, and a statistical model to estimate water-quality trends between 1982 and 2012 and parse these trends into the amount of change attributed to trends in streamflow versus changes in&nbsp;</span>watershed management<span>, such as changes in point or&nbsp;non-point sources&nbsp;related to&nbsp;pollution control&nbsp;efforts. We conceptualize a water-quality trend as an additive function of these two trend components. We found that for most of these records the water-quality trends were more strongly affected by changes in watershed management as opposed to trends in streamflow. However, the importance of these trend components on water quality varied by estimate type (i.e. concentration versus load trends), parameter, and site. Trends in load were more influenced by changes in the streamflow regime than trends in concentration. Trends in major ions, salinity, and sediment were more sensitive to changes in streamflow than nutrients. When results were aggregated by site, 25% of the sites had at least 1 parameter where streamflow trends attributed &gt;7.5% to the water-quality trend for concentrations. For loads, this was the case for 66% of the sites. The findings of this work have important implications for the analysis of water-quality trends. Understanding the relative role of streamflow and management changes can help to isolate the effects of pollution control efforts on water quality and provide clearer understanding of progress, or lack thereof, towards water-quality goals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.255","usgsCitation":"Murphy, J.C., and Sprague, L.A., 2019, Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management: Science of the Total Environment, v. 656, p. 645-658, https://doi.org/10.1016/j.scitotenv.2018.11.255.","productDescription":"14 p.","startPage":"645","endPage":"658","ipdsId":"IP-101146","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":468039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.255","text":"Publisher Index Page"},{"id":359958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"656","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c08f1c4e4b0815414d0bbf9","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":167405,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":753131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":753132,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226716,"text":"70226716 - 2019 - Geographic attribution of soils using probabilistic modeling of GIS data for forensic search efforts","interactions":[],"lastModifiedDate":"2021-12-07T13:10:00.198493","indexId":"70226716","displayToPublicDate":"2018-12-05T07:07:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Geographic attribution of soils using probabilistic modeling of GIS data for forensic search efforts","docAbstract":"<div class=\"article-section__content en main\"><p>Examinations of soil traces associated with forensic evidence can be used to narrow potential source area(s) by characterizing features of the trace soil assemblage, some of which are limited to specific regions. Soil characteristics may be used to infer the likelihoods of the soil trace being derived from distinct areas within digital maps, including both maps of discrete classes such as formations on geologic maps and land cover, and continuous geospatial data, such as distance from a point source. Seldom do digital maps precisely represent the observable characteristics in a soil trace. Nevertheless, logical assigned likelihoods based on the correspondence between the mapped characteristics and the observed soil particulate assemblage permit creation of a model of the more probable sources of the soil trace. This approach is applied to a 2003 case in which forensic soil samples derived from digging tools were characterized for investigative leads and to narrow the search area of a clandestine grave. This grave site was located in 2005. The suspect traveled approximately 5,000&nbsp;km before arrest, so narrowing the prioritized search area for law enforcement would be beneficial. Soil examination and case circumstances were used to assign relative likelihoods within digital maps (GIS or Geographic Information Systems data) of geology, soil mineralogy, plant distributions, power plant locations, and proximity to the known travel path. The product of these individual probability maps generates joint probability models to narrow the recommended search area. The digital model output can be easily overlaid on infrastructure maps to aid law enforcement searches.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GC007872","usgsCitation":"Stern, L.A., Webb, J.B., Willard, D.A., Bernhardt, C.E., Korejwo, D., Bottrell, M., McMahon, G., McMillan, N., Schuetter, J., Wheatley, P., and Hieptas, J., 2019, Geographic attribution of soils using probabilistic modeling of GIS data for forensic search efforts: Geochemistry, Geophysics, Geosystems, v. 20, no. 2, p. 913-932, https://doi.org/10.1029/2018GC007872.","productDescription":"20 p.","startPage":"913","endPage":"932","ipdsId":"IP-094828","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":392568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Stern, Libby A 0000-0001-8816-8104","orcid":"https://orcid.org/0000-0001-8816-8104","contributorId":269791,"corporation":false,"usgs":false,"family":"Stern","given":"Libby","email":"","middleInitial":"A","affiliations":[{"id":56032,"text":"FBI Laboratory","active":true,"usgs":false}],"preferred":false,"id":827928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Jodi B","contributorId":269792,"corporation":false,"usgs":false,"family":"Webb","given":"Jodi","email":"","middleInitial":"B","affiliations":[{"id":56032,"text":"FBI Laboratory","active":true,"usgs":false}],"preferred":false,"id":827929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":827930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":827931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korejwo, David","contributorId":269793,"corporation":false,"usgs":false,"family":"Korejwo","given":"David","email":"","affiliations":[{"id":56032,"text":"FBI Laboratory","active":true,"usgs":false}],"preferred":false,"id":827932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bottrell, Maureen","contributorId":269794,"corporation":false,"usgs":false,"family":"Bottrell","given":"Maureen","email":"","affiliations":[{"id":56032,"text":"FBI Laboratory","active":true,"usgs":false}],"preferred":false,"id":827933,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McMahon, Garrett","contributorId":269795,"corporation":false,"usgs":false,"family":"McMahon","given":"Garrett","email":"","affiliations":[{"id":56032,"text":"FBI Laboratory","active":true,"usgs":false}],"preferred":false,"id":827934,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McMillan, nancy","contributorId":269796,"corporation":false,"usgs":false,"family":"McMillan","given":"nancy","email":"","affiliations":[{"id":25257,"text":"Battelle Memorial Institute","active":true,"usgs":false}],"preferred":false,"id":827935,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schuetter, Jared","contributorId":269797,"corporation":false,"usgs":false,"family":"Schuetter","given":"Jared","email":"","affiliations":[{"id":25257,"text":"Battelle Memorial Institute","active":true,"usgs":false}],"preferred":false,"id":827936,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wheatley, Patrick","contributorId":269798,"corporation":false,"usgs":false,"family":"Wheatley","given":"Patrick","affiliations":[{"id":56034,"text":"National Geospatial-Intelligence Agency","active":true,"usgs":false}],"preferred":false,"id":827937,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hieptas, Jack","contributorId":269799,"corporation":false,"usgs":false,"family":"Hieptas","given":"Jack","email":"","affiliations":[{"id":56032,"text":"FBI Laboratory","active":true,"usgs":false}],"preferred":false,"id":827938,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70204458,"text":"70204458 - 2019 - Incorporating productivity as a measure of fitness into models of breeding area quality of Arctic peregrine falcons","interactions":[],"lastModifiedDate":"2019-07-26T10:19:13","indexId":"70204458","displayToPublicDate":"2018-12-04T12:07:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating productivity as a measure of fitness into models of breeding area quality of Arctic peregrine falcons","docAbstract":"<p>Using empirical location data from individuals to model habitat quality and species distributions is valuable towards understanding habitat use of wildlife, especially for conservation and management planning. Incorporating measures of reproductive success or survival into these models helps address the role of vital rates (a surrogate of fitness) in affecting a species’ distribution. We used 24-year datasets of Arctic peregrine falcon (<i>Falco peregrinus tundrius</i>) nest-site locations and productivity from the Colville River Special Area, Alaska, USA to model suitability of breeding habitat and the relative quality of used and potential nest sites. We used zero-inflated negative binomial regression models and covariates describing nest-site productivity, area of surrounding prey habitat, geology, topography, and land-cover type to model and predict intensity of Arctic peregrine falcon nest-site use along the Colville River, and developed a predictive map of intensity of nest-site use. Regions of higher predicted intensity of use were characterized by steeper slopes, greater area of prey habitat, and higher average productivity, which are likely attributed to minimizing predation risk, gaining advantages for hunting, having sufficient prey resources, site quality, and overall fitness. Including productivity in intensity of nest-site use models improved the models, supporting our supposition that adding a fitness parameter enhanced the predictive capability of the species distribution model. Areas predicted to have higher intensity of use by our model can be used to focus efforts of continued protection of areas with frequently occupied and productive nest sites, and conversely, identify areas where protection of nest sites is likely to have few conservation benefits.</p>","language":"English","publisher":"BioOne","doi":"10.2981/wlb.00475","usgsCitation":"Andersen, D.E., Bruggeman, J.E., Swem, T., Kennedy, P.L., and Debora Nigro, 2019, Incorporating productivity as a measure of fitness into models of breeding area quality of Arctic peregrine falcons: Wildlife Biology, 00475, 12 p., https://doi.org/10.2981/wlb.00475.","productDescription":"00475, 12 p.","ipdsId":"IP-084116","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00475","text":"Publisher Index Page"},{"id":365941,"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":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.0,67.0 ], [ -158.0,71.5 ], [ -141.57,71.5 ], [ -141.57,67.0 ], [ -158.0,67.0 ] ] ] } } ] }","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":767010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruggeman, Jason E.","contributorId":217529,"corporation":false,"usgs":false,"family":"Bruggeman","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":767011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swem, Ted","contributorId":217530,"corporation":false,"usgs":false,"family":"Swem","given":"Ted","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":767012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Patricia L.","contributorId":217531,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patricia","email":"","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":767013,"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":767014,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201172,"text":"70201172 - 2019 - Cyanobacteria reduce motility of quagga mussel (Driessena rostriformis bugensis) sperm","interactions":[],"lastModifiedDate":"2019-02-11T14:50:34","indexId":"70201172","displayToPublicDate":"2018-12-04T10:21:00","publicationYear":"2019","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}},"displayTitle":"Cyanobacteria reduce motility of quagga mussel (<i>Driessena rostriformis bugensis</i>) sperm","title":"Cyanobacteria reduce motility of quagga mussel (Driessena rostriformis bugensis) sperm","docAbstract":"<p><span>The temporal expansion of harmful algal blooms, primarily associated with cyanobacteria, may impact aquatic organisms at vulnerable life history stages. Broadcast spawning species release gametes into the water column for external fertilization, directly exposing sperm to potential aquatic stressors. To determine if cyanobacteria can disrupt reproduction in freshwater broadcast spawners, we evaluated sub‐lethal effects of cyanobacteria exposure on quagga mussel (</span><i>Dreissena rostriformis bugensis</i><span>) sperm. In laboratory studies, sperm were collected after inducing mussels to spawn using serotonin and exposed to 11 cultures of cyanobacteria including&nbsp;</span><i>Anabaena flos‐aquae</i><span>,&nbsp;</span><i>Aphanizomenon flos‐aquae</i><span>,&nbsp;</span><i>Dolichospermum lemmermanii</i><span>,&nbsp;</span><i>Gloeotrichia echinulata</i><span>, five cultures of&nbsp;</span><i>Microcystis aeruginosa, M. wesenbergii</i><span>, and&nbsp;</span><i>Planktothrix suspensa</i><span>. Sperm motility, using endpoints of cumulative distance traveled and mean velocity was calculated for a minimum of 10 individual sperm using a novel optical biotracking assay method. The distance and velocity at which sperm travelled decreased when exposed to&nbsp;</span><i>Aphanizomenon flos‐aquae</i><span>&nbsp;and two&nbsp;</span><i>M. aeruginosa</i><span>&nbsp;cultures. Our findings indicate that cyanobacteria impede the motility of quagga mussel sperm, which can potentially result in reproductive impairments to mussels, and potentially other broadcast spawning species.</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4305","usgsCitation":"Boegehold, A.G., Alame, K., Johnson, N., and Kashian, D.R., 2019, Cyanobacteria reduce motility of quagga mussel (Driessena rostriformis bugensis) sperm: Environmental Toxicology and Chemistry, v. 38, no. 2, p. 368-374, https://doi.org/10.1002/etc.4305.","productDescription":"7 p.","startPage":"368","endPage":"374","ipdsId":"IP-102327","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":359906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-26","publicationStatus":"PW","scienceBaseUri":"5c07a062e4b0815414cee77b","contributors":{"authors":[{"text":"Boegehold, Anna G.","contributorId":205600,"corporation":false,"usgs":false,"family":"Boegehold","given":"Anna","email":"","middleInitial":"G.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":753043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alame, Karim","contributorId":211033,"corporation":false,"usgs":false,"family":"Alame","given":"Karim","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":753044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":753042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kashian, Donna R.","contributorId":205602,"corporation":false,"usgs":false,"family":"Kashian","given":"Donna","email":"","middleInitial":"R.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":753045,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263920,"text":"70263920 - 2019 - Erratum to Broadband synthetic seismograms for magnitude 9 earthquakes on the Cascadia megathrust based on 3D simulations and stochastic synthetics, Part 1: methodology and overall results","interactions":[],"lastModifiedDate":"2025-02-28T15:11:36.347924","indexId":"70263920","displayToPublicDate":"2018-12-04T09:08:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Erratum to Broadband synthetic seismograms for magnitude 9 earthquakes on the Cascadia megathrust based on 3D simulations and stochastic synthetics, Part 1: methodology and overall results","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180289","usgsCitation":"Frankel, A.D., Wirth, E.A., Marafi, N.A., Vidale, J., and Stephenson, W.J., 2019, Erratum to Broadband synthetic seismograms for magnitude 9 earthquakes on the Cascadia megathrust based on 3D simulations and stochastic synthetics, Part 1: methodology and overall results: Bulletin of the Seismological Society of America, v. 109, no. 1, https://doi.org/10.1785/0120180289.","productDescription":"1 p.","startPage":"487","ipdsId":"IP-102628","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":482634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":929093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":929094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":929095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vidale, John","contributorId":194843,"corporation":false,"usgs":false,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":929096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":929097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201156,"text":"70201156 - 2019 - The ~1.85 Ga carbonatite in north China and its implications on the evolution of the Columbia supercontinent","interactions":[],"lastModifiedDate":"2018-12-03T15:47:01","indexId":"70201156","displayToPublicDate":"2018-12-03T15:46:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1848,"text":"Gondwana Research","active":true,"publicationSubtype":{"id":10}},"title":"The ~1.85 Ga carbonatite in north China and its implications on the evolution of the Columbia supercontinent","docAbstract":"Mantle-derived carbonatites provide a unique window in the understanding of mantle characteristics and dynamics, as well as insight into the assembly and breakup of supercontinents. As a petrological indicator of extensional tectonic regimes, Archean/Proterozoic carbonatites provide important constraints on the timing of the breakup of ancient supercontinents. The majority of the carbonatites reported worldwide are Phanerozoic, in part because of the difficulty in recognizing Archean/Proterozoic carbonatites, which are characterized by strong foliation and recrystallization, and share broad petrologic similarities with metamorphosed sedimentary lithologies. Here, we report the recognition of a ~1.85 Ga carbonatite in Chaihulanzi area of Chifeng in north China based on systematic geological, petrological, geochemical, and baddeleyite U-Pb geochronological results. The carbonatite occurs as dikes or sills emplaced in Archean metasedimentary rocks and underwent intense deformation. Petrological and SEM/EDS results show that calcite and dolomite are the dominant carbonate minerals long with minor and varied amounts of Mg-rich mafic minerals, including forsterite (with Fo N 98), phlogopite, diopside, and an accessory amount of apatite, baddeleyite, spinel, monazite, and ilmenite. The relatively high silica content together with the non-arc and OIB-like trace element signatures of the carbonatite indicates a hot mantle plume as the likely magma source. The depleted Nd isotopic signatures suggest that plume upwelling might be triggered by the accumulation of recycled crust in the deep mantle. As a part of the global-scale Columbia supercontinent, the Proterozoic tectonic evolution of the North China Craton (NCC) provides important insights into the geodynamics governing amalgamation and fragmentation of the supercontinent. The Paleo-Mesoproterozoic boundary is the key point of tectonic transition from compressional to extensional settings in the NCC. The newly identified ~1.85 Ga carbonatite provides a direct link between the long-lasting super continental breakup and plume activity, which might be sourced from the “slab graveyard,” continental crustal slabs subducted into asthenosphere, beneath the supercontinent. The carbonatite provides a precise constraint of the initiation of the continental breakup at ~1.85 Ga.","language":"English","publisher":"International Association for Gondwana Research.","doi":"10.1016/j.gr.2018.10.001","usgsCitation":"Xie, Y., Qu, Y., Zhong, R., Verplanck, P.L., Meffre, S., and Xu, D., 2019, The ~1.85 Ga carbonatite in north China and its implications on the evolution of the Columbia supercontinent: Gondwana Research, v. 65, p. 125-141, https://doi.org/10.1016/j.gr.2018.10.001.","productDescription":"17 p.","startPage":"125","endPage":"141","ipdsId":"IP-090712","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":502519,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/The_1_85_Ga_carbonatite_in_north_China_and_its_implications_on_the_evolution_of_the_Columbia_supercontinent/22974062","text":"External Repository"},{"id":359876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c064edde4b0815414cecafe","contributors":{"authors":[{"text":"Xie, Yuling","contributorId":211011,"corporation":false,"usgs":false,"family":"Xie","given":"Yuling","affiliations":[{"id":33977,"text":"University of Science and Technology Beijing","active":true,"usgs":false}],"preferred":false,"id":752982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qu, Yunwei","contributorId":211012,"corporation":false,"usgs":false,"family":"Qu","given":"Yunwei","email":"","affiliations":[{"id":33977,"text":"University of Science and Technology Beijing","active":true,"usgs":false}],"preferred":false,"id":752983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhong, Richen","contributorId":211013,"corporation":false,"usgs":false,"family":"Zhong","given":"Richen","affiliations":[{"id":33977,"text":"University of Science and Technology Beijing","active":true,"usgs":false}],"preferred":false,"id":752984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":752981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meffre, Sebastien","contributorId":211014,"corporation":false,"usgs":false,"family":"Meffre","given":"Sebastien","email":"","affiliations":[{"id":38170,"text":"Centre of Excellence in Ore Deposits, University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":752985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, Daoxue","contributorId":211019,"corporation":false,"usgs":false,"family":"Xu","given":"Daoxue","email":"","affiliations":[],"preferred":false,"id":752999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70201148,"text":"70201148 - 2019 - Linkages between hydrology and seasonal variations of nutrients and periphyton in a large oligotrophic subalpine lake","interactions":[],"lastModifiedDate":"2018-12-03T10:28:53","indexId":"70201148","displayToPublicDate":"2018-12-03T10:28:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Linkages between hydrology and seasonal variations of nutrients and periphyton in a large oligotrophic subalpine lake","docAbstract":"<p><span>Periphyton is important to lake ecosystems, contributing to primary production, nutrient cycling, and benthic metabolism. Increases in periphyton growth in lakes can be indicative of changes in water quality, shifts in ecosystem structure, and increases in nutrient fluxes. In oligotrophic lakes, conservationists are interested in characterizing the influence of hydrological drivers on excessive periphyton growth along nearshore areas. We collected nutrient samples bi-weekly from groundwater and surface water during a 9-month monitoring period to evaluate the timing and availability of nutrients to eulittoral periphyton in Lake Tahoe. Groundwater discharge rates were measured synoptically using seepage meters and estimated indirectly using continuous head gradient measurements and aquifer properties estimated by slug tests. The discharge measurements made from the seepage meter measurements provide information about the spatial variability perpendicular from shore along and the change in groundwater discharge due to wave action. Algal biomass sampled from substrates and observed using underwater photographs were used to correlate seasonal growth and nutrient concentrations in groundwater and lake water. Results indicate that groundwater and nutrient discharge are temporally variable due to seasonal changes in recharge within the watershed, wave action, and lake stage. Groundwater discharge was enhanced by the seasonally-low lake stage and episodic recharge caused by precipitation falling as rain in the watershed. Increases in dissolved phosphorus and nitrate in the lake during winter are attributed to groundwater discharge and correlates to increases in algal biomass in the nearshore area. Results indicate that nutrient-rich groundwater discharge appears to stimulate seasonal periphyton blooms along the eulittoral zone of Lake Tahoe.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.11.033","usgsCitation":"Naranjo, R.C., Niswonger, R.G., Smith, D., Rosenberry, D.O., and Chandra, S., 2019, Linkages between hydrology and seasonal variations of nutrients and periphyton in a large oligotrophic subalpine lake: Journal of Hydrology, v. 568, p. 877-890, https://doi.org/10.1016/j.jhydrol.2018.11.033.","productDescription":"14 p.","startPage":"877","endPage":"890","ipdsId":"IP-085290","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":359861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.20553588867188,\n              38.89530825492018\n            ],\n            [\n              -119.87457275390625,\n              38.89530825492018\n            ],\n            [\n              -119.87457275390625,\n              39.299236474818194\n            ],\n            [\n              -120.20553588867188,\n              39.299236474818194\n            ],\n            [\n              -120.20553588867188,\n              38.89530825492018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"568","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c064edfe4b0815414cecb00","contributors":{"editors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - 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