{"pageNumber":"912","pageRowStart":"22775","pageSize":"25","recordCount":184904,"records":[{"id":70259346,"text":"70259346 - 2018 - Volcano crisis communication: Challenges and solutions in the 21st century","interactions":[],"lastModifiedDate":"2024-10-04T14:58:58.398573","indexId":"70259346","displayToPublicDate":"2017-12-06T09:56:19","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Volcano crisis communication: Challenges and solutions in the 21st century","docAbstract":"<p><span>This volume,&nbsp;</span><i>Observing the volcano world: volcanic crisis communication,</i><span>&nbsp;focuses at the point where the ‘rubber hits the road’, where the world of volcano-related sciences and all its uncertainties meet with the complex and ever-changing dynamics of our society, wherever and whenever this may be. Core to the issues addressed in this book is the idea of how volcanic crisis communication operates in practice and in theory. This chapter provides an overview of the evolution of thinking around the importance of volcanic crisis communication over the last century, bringing together studies on relevant case studies. Frequently, the mechanisms by which volcanic crisis communication occurs are via a number of key tools employed including: risk assessment, probabilistic analysis, early-warning systems, all of which assist in the decision-making procedures; that are compounded by ever-changing societal demands and needs. This chapter outlines some of the key challenges faced in managing responses to volcanic eruptions since the start of the 20th century, to explore what has been effective, what lessons have been learnt from key events, and what solutions we can discover. Adopting a holistic approach, this chapter aims to provide a contextual background for the following chapters in the volume that explore many of the elements discussed here in further detail. Finally, we consider the future, as many chapters in this book bring together a wealth of new knowledge that will enable further insights for investigation, experimentation, and development of future volcanic crisis communication.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/11157_2017_28","usgsCitation":"Fearnley, C.J., Winson, A.E., Pallister, J.S., and Tilling, R.I., 2018, Volcano crisis communication: Challenges and solutions in the 21st century, p. 3-21, https://doi.org/10.1007/11157_2017_28.","productDescription":"19 p.","startPage":"3","endPage":"21","ipdsId":"IP-086534","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":486955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/11157_2017_28","text":"Publisher Index Page"},{"id":462604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2017-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Fearnley, Carina J","contributorId":344924,"corporation":false,"usgs":false,"family":"Fearnley","given":"Carina","email":"","middleInitial":"J","affiliations":[{"id":82433,"text":"University College, London","active":true,"usgs":false}],"preferred":false,"id":915002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winson, Annie E G","contributorId":344925,"corporation":false,"usgs":false,"family":"Winson","given":"Annie","email":"","middleInitial":"E G","affiliations":[{"id":7165,"text":"University of Aberdeen","active":true,"usgs":false}],"preferred":false,"id":915003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tilling, Robert I. 0000-0003-4263-7221","orcid":"https://orcid.org/0000-0003-4263-7221","contributorId":344926,"corporation":false,"usgs":true,"family":"Tilling","given":"Robert","email":"","middleInitial":"I.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915005,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194586,"text":"70194586 - 2018 - From salmon to shad: Shifting sources of marine-derived nutrients in the Columbia River Basin","interactions":[],"lastModifiedDate":"2017-12-08T10:27:17","indexId":"70194586","displayToPublicDate":"2017-12-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"From salmon to shad: Shifting sources of marine-derived nutrients in the Columbia River Basin","docAbstract":"<p><span>Like Pacific salmon (</span><i>Oncorhynchus</i><span><span>&nbsp;</span>spp.), nonnative American shad (</span><i>Alosa sapidissima</i><span>) have the potential to convey large quantities of nutrients between the Pacific Ocean and freshwater spawning areas in the Columbia River Basin (CRB). American shad are now the most numerous anadromous fish in the CRB, yet the magnitude of the resulting nutrient flux owing to the shift from salmon to shad is unknown. Nutrient flux models revealed that American shad conveyed over 15,000&nbsp;kg of nitrogen (N) and 3,000&nbsp;kg of phosphorus (P) annually to John Day Reservoir, the largest mainstem reservoir in the lower Columbia River. Shad were net importers of N, with juveniles and postspawners exporting just 31% of the N imported by adults. Shad were usually net importers of P, with juveniles and postspawners exporting 46% of the P imported by adults on average. American shad contributed &lt;0.2% of the total annual P load into John Day Reservoir, but during June when most adult shad are migrating into John Day Reservoir, they contributed as much as 2.0% of the P load. Nutrient inputs by American shad were similar to current but far less than historical inputs of Pacific salmon owing to their smaller size. Given the relatively high background P levels and low retention times in lower Columbia River reservoirs, it is unlikely that shad marine-derived nutrients affect nutrient balances or food web productivity through autotrophic pathways. However, a better understanding of shad spawning aggregations in the CRB is needed.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12348","usgsCitation":"Haskell, C.A., 2018, From salmon to shad: Shifting sources of marine-derived nutrients in the Columbia River Basin: Ecology of Freshwater Fish, v. 27, no. 1, p. 310-322, https://doi.org/10.1111/eff.12348.","productDescription":"13 p.","startPage":"310","endPage":"322","ipdsId":"IP-083307","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469149,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12348","text":"Publisher Index Page"},{"id":349864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Columbia River, John Day Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n   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,{"id":70194560,"text":"70194560 - 2018 - MHC class II DRB diversity predicts antigen recognition and is associated with disease severity in California sea lions naturally infected with Leptospira interrogans","interactions":[],"lastModifiedDate":"2017-12-06T09:49:15","indexId":"70194560","displayToPublicDate":"2017-12-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1988,"text":"Infection, Genetics and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"MHC class II DRB diversity predicts antigen recognition and is associated with disease severity in California sea lions naturally infected with <i>Leptospira interrogans</i>","title":"MHC class II DRB diversity predicts antigen recognition and is associated with disease severity in California sea lions naturally infected with Leptospira interrogans","docAbstract":"We examined the associations between California sea lion MHC class II DRB (Zaca-DRB) configuration and diversity, and leptospirosis. As Zaca-DRB gene sequences are involved with antigen presentation of bacteria and other extracellular pathogens, we predicted that they would play a role in determining responses to these pathogenic spirochaetes. Specifically, we investigated whether Zaca-DRB diversity (number of genes) and configuration (presence of specific genes) explained differences in disease severity, and whether higher levels of Zaca-DRB diversity predicted the number of specific Leptospira interrogans serovars that a sea lion's serum would react against. We found that serum from diseased sea lions with more Zaca-DRB loci reacted against a wider array of serovars. Specific Zaca-DRB loci were linked to reactions with particular serovars. Interestingly, sea lions with clinical manifestation of leptospirosis that had higher numbers of Zaca-DRB loci were less likely to recover from disease than those with lower diversity, and those that harboured Zaca-DRB.C or –G were 4.5 to 5.3 times more likely to die from leptospirosis, regardless of the infective serovars. We propose that for leptospirosis, a disadvantage of having a wider range of antigen presentation might be increased disease severity due to immunopathology. Ours is the first study to examine the importance of Zaca-DRB diversity for antigen detection and disease severity following natural exposure to infective leptospires.","language":"English","publisher":"Elsevier","doi":"10.1016/j.meegid.2017.11.023","usgsCitation":"Acevedo-Whitehouse, K., Gulland, F., and Bowen, L., 2018, MHC class II DRB diversity predicts antigen recognition and is associated with disease severity in California sea lions naturally infected with Leptospira interrogans: Infection, Genetics and Evolution, v. 57, p. 158-165, https://doi.org/10.1016/j.meegid.2017.11.023.","productDescription":"8 p.","startPage":"158","endPage":"165","ipdsId":"IP-082170","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":349741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands","geographicExtents":"{\n  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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad5e4b06e28e9c2277e","contributors":{"authors":[{"text":"Acevedo-Whitehouse, Karina","contributorId":201163,"corporation":false,"usgs":false,"family":"Acevedo-Whitehouse","given":"Karina","email":"","affiliations":[],"preferred":false,"id":724480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gulland, Frances","contributorId":198756,"corporation":false,"usgs":false,"family":"Gulland","given":"Frances","affiliations":[],"preferred":false,"id":724481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research 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,{"id":70194638,"text":"70194638 - 2018 - The influence of bed friction variability due to land cover on storm-driven barrier island morphodynamics","interactions":[],"lastModifiedDate":"2017-12-07T16:37:20","indexId":"70194638","displayToPublicDate":"2017-12-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"The influence of bed friction variability due to land cover on storm-driven barrier island morphodynamics","docAbstract":"<p><span>Variations in bed friction due to land cover type have the potential to influence morphologic change during storm events; the importance of these variations can be studied through numerical simulation and experimentation at locations with sufficient observational data to initialize realistic scenarios, evaluate model accuracy and guide interpretations. Two-dimensional in the horizontal plane (2DH) morphodynamic (XBeach) simulations were conducted to assess morphodynamic sensitivity to spatially varying bed friction at Dauphin Island, AL using hurricanes Ivan (2004) and Katrina (2005) as experimental test cases. For each storm, three bed friction scenarios were simulated: (1) a constant Chezy coefficient across land and water, (2) a constant Chezy coefficient across land and depth-dependent Chezy coefficients across water, and (3) spatially varying Chezy coefficients across land based on land use/land cover (LULC) data and depth-dependent Chezy coefficients across water. Modeled post-storm bed elevations were compared qualitatively and quantitatively with post-storm lidar data. Results showed that implementing spatially varying bed friction influenced the ability of XBeach to accurately simulate morphologic change during both storms. Accounting for frictional effects due to large-scale variations in vegetation and development reduced cross-barrier sediment transport and captured overwash and breaching more accurately. Model output from the spatially varying friction scenarios was used to examine the need for an existing sediment transport limiter, the influence of pre-storm topography and the effects of water level gradients on storm-driven morphodynamics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2017.11.005","usgsCitation":"Passeri, D., Long, J.W., Plant, N.G., Bilskie, M.V., and Hagen, S.C., 2018, The influence of bed friction variability due to land cover on storm-driven barrier island morphodynamics: Coastal Engineering, v. 132, p. 82-94, https://doi.org/10.1016/j.coastaleng.2017.11.005.","productDescription":"13 p.","startPage":"82","endPage":"94","ipdsId":"IP-088110","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2017.11.005","text":"Publisher Index Page"},{"id":349878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.36509704589844,\n              30.19202472180581\n            ],\n            [\n              -88.06777954101562,\n              30.19202472180581\n            ],\n            [\n              -88.06777954101562,\n              30.295832146790442\n            ],\n            [\n              -88.36509704589844,\n              30.295832146790442\n            ],\n            [\n              -88.36509704589844,\n              30.19202472180581\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad5e4b06e28e9c22776","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":724688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":724689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":724690,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208983,"text":"70208983 - 2018 - Mapping of compositional properties of coal using isometric log-ratio transformation and sequential Gaussian simulation – A comparative study for spatial ultimate analyses data","interactions":[],"lastModifiedDate":"2020-03-10T06:30:24","indexId":"70208983","displayToPublicDate":"2017-12-05T06:24:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Mapping of compositional properties of coal using isometric log-ratio transformation and sequential Gaussian simulation – A comparative study for spatial ultimate analyses data","docAbstract":"<p id=\"sp0105\">Chemical properties of coal largely determine coal handling, processing,<span>&nbsp;</span>beneficiation<span>&nbsp;methods, and design of&nbsp;coal-fired power plants. Furthermore, these properties impact coal strength, coal blending during mining, as well as coal's gas content, which is important for mining safety. In order for these processes and quantitative predictions to be successful, safer, and economically feasible, it is important to determine and map chemical properties of coals accurately in order to infer these properties prior to mining.</span></p><p id=\"sp0110\">Ultimate analysis quantifies principal chemical elements in coal. These elements are C, H, N, S, O, and, depending on the basis, ash, and/or moisture. The basis for the data is determined by the condition of the sample at the time of analysis, with an “as-received” basis being the closest to sampling conditions and thus to the in-situ conditions of the coal. The parts determined or calculated as the result of ultimate analyses are compositions, reported in weight percent, and pose the challenges of statistical analyses of compositional data. The treatment of parts using proper compositional methods may be even more important in mapping them, as most mapping methods carry uncertainty due to partial sampling as well.</p><p id=\"sp0115\">In this work, we map the ultimate analyses parts of the Springfield coal from an Indiana section of the Illinois basin, USA, using sequential Gaussian simulation of isometric log-ratio transformed compositions. We compare the results with those of direct simulations of compositional parts. We also compare the implications of these approaches in calculating other properties using correlations to identify the differences and consequences. Although the study here is for coal, the methods described in the paper are applicable to any situation involving compositional data and its mapping.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2017.11.022","usgsCitation":"Karacan, C.O., and Olea, R.A., 2018, Mapping of compositional properties of coal using isometric log-ratio transformation and sequential Gaussian simulation – A comparative study for spatial ultimate analyses data: Journal of Geochemical Exploration, v. 186, p. 36-49, https://doi.org/10.1016/j.gexplo.2017.11.022.","productDescription":"14 p.","startPage":"36","endPage":"49","ipdsId":"IP-085076","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469151,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5743214","text":"External 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Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":208109,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo","email":"rolea@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784290,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194556,"text":"70194556 - 2018 - Loss of dendritic connectivity in southern California's urban riverscape facilitates decline of an endemic freshwater fish","interactions":[],"lastModifiedDate":"2018-03-26T14:26:39","indexId":"70194556","displayToPublicDate":"2017-12-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Loss of dendritic connectivity in southern California's urban riverscape facilitates decline of an endemic freshwater fish","docAbstract":"Life history adaptations and spatial configuration of metapopulation networks allow certain species to persist in extreme fluctuating environments, yet long-term stability within these systems relies on the maintenance of linkage habitat. Degradation of such linkages in urban riverscapes can disrupt this dynamic in aquatic species, leading to increased extinction debt in local populations experiencing environment-related demographic flux. We used microsatellites and mtDNA to examine the effects of collapsed network structure in the endemic Santa Ana sucker Catostomus santaanae of southern California, a threatened species affected by natural flood-drought cycles, ‘boom-and-bust’ demography, hybridization, and presumed artificial transplantation. Our results show a predominance of drift-mediated processes in shaping population structure, and that reverse mechanisms for counterbalancing the genetic effects of these phenomena have dissipated with the collapse of dendritic connectivity. We use approximate Bayesian models to support two cases of artificial transplantation, and provide evidence that one of the invaded systems better represents the historic processes that maintained genetic variation within watersheds than any remaining drainages where C. santaanae is considered native. We further show that a stable dry gap in the northern range is preventing genetic dilution of pure C. santaanae persisting upstream of a hybrid assemblage involving a non-native sucker, and that local accumulation of genetic variation in the same drainage is influenced by position within the network. This work has important implications for declining species that have historically relied on dendritic metapopulation networks to maintain source-sink dynamics in phasic environments, but no longer possess this capacity in urban-converted landscapes.","language":"English","publisher":"Wiley","doi":"10.1111/mec.14445","usgsCitation":"Richmond, J.Q., Backlin, A.R., Galst-Cavalcante, C., O’Brien, J.W., and Fisher, R.N., 2018, Loss of dendritic connectivity in southern California's urban riverscape facilitates decline of an endemic freshwater fish: Molecular Ecology, v. 27, no. 2, p. 369-386, https://doi.org/10.1111/mec.14445.","productDescription":"18 p.","startPage":"369","endPage":"386","ipdsId":"IP-079187","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438065,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z31XMZ","text":"USGS data release","linkHelpText":"Microsatellite genotype scores for a contemporary, range-wide sample of Santa Ana sucker in southern California"},{"id":349687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"27","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-27","publicationStatus":"PW","scienceBaseUri":"5a60faf4e4b06e28e9c229f8","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galst-Cavalcante, Carey","contributorId":201155,"corporation":false,"usgs":false,"family":"Galst-Cavalcante","given":"Carey","email":"","affiliations":[],"preferred":false,"id":724457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Brien, John W.","contributorId":201156,"corporation":false,"usgs":false,"family":"O’Brien","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":724458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724454,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194542,"text":"70194542 - 2018 - Will fluctuations in salt marsh–mangrove dominance alter vulnerability of a subtropical wetland to sea‐level rise?","interactions":[],"lastModifiedDate":"2022-10-31T16:21:25.106207","indexId":"70194542","displayToPublicDate":"2017-12-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Will fluctuations in salt marsh–mangrove dominance alter vulnerability of a subtropical wetland to sea‐level rise?","docAbstract":"<p><span>To avoid submergence during sea-level rise, coastal wetlands build soil surfaces vertically through accumulation of inorganic sediment and organic matter. At climatic boundaries where mangroves are expanding and replacing salt marsh, wetland capacity to respond to sea-level rise may change. To compare how well mangroves and salt marshes accommodate sea-level rise, we conducted a manipulative field experiment in a subtropical plant community in the subsiding Mississippi River Delta. Experimental plots were established in spatially equivalent positions along creek banks in monospecific stands of&nbsp;</span><i>Spartina alterniflora</i><span><span>&nbsp;</span>(smooth cordgrass) or<span>&nbsp;</span></span><i>Avicennia germinans</i><span><span>&nbsp;</span>(black mangrove) and in mixed stands containing both species. To examine the effect of disturbance on elevation dynamics, vegetation in half of the plots was subjected to freezing (mangrove) or wrack burial (salt marsh), which caused shoot mortality. Vertical soil development was monitored for 6&nbsp;years with the surface elevation table-marker horizon system. Comparison of land movement with relative sea-level rise showed that this plant community was experiencing an elevation deficit (i.e., sea level was rising faster than the wetland was building vertically) and was relying on elevation capital (i.e., relative position in the tidal frame) to survive. Although<span>&nbsp;</span></span><i>Avicennia</i><span><span>&nbsp;</span>plots had more elevation capital, suggesting longer survival, than<span>&nbsp;</span></span><i>Spartina</i><span><span>&nbsp;</span>or mixed plots, vegetation type had no effect on rates of accretion, vertical movement in root and sub-root zones, or net elevation change. Thus, these salt marsh and mangrove assemblages were accreting sediment and building vertically at equivalent rates. Small-scale disturbance of the plant canopy also had no effect on elevation trajectories—contrary to work in peat-forming wetlands showing elevation responses to changes in plant productivity. The findings indicate that in this deltaic setting with strong physical influences controlling elevation (sediment accretion, subsidence), mangrove replacement of salt marsh, with or without disturbance, will not necessarily alter vulnerability to sea-level rise.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13945","usgsCitation":"McKee, K.L., and Vervaeke, W., 2018, Will fluctuations in salt marsh–mangrove dominance alter vulnerability of a subtropical wetland to sea‐level rise?: Global Change Biology, v. 24, no. 3, p. 1224-1238, https://doi.org/10.1111/gcb.13945.","productDescription":"15 p.","startPage":"1224","endPage":"1238","ipdsId":"IP-088819","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438066,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GT5M4C","text":"USGS data release","linkHelpText":"Will fluctuations in salt marsh - mangrove dominance alter vulnerability of a subtropical wetland to sea-level rise?"},{"id":349684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.28692342916146,\n              29.198801841554953\n            ],\n            [\n              -90.28692342916146,\n              29.08522057636641\n            ],\n            [\n              -90.18699588097273,\n              29.08522057636641\n            ],\n            [\n              -90.18699588097273,\n              29.198801841554953\n            ],\n            [\n              -90.28692342916146,\n              29.198801841554953\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-23","publicationStatus":"PW","scienceBaseUri":"5a60faf5e4b06e28e9c229fe","contributors":{"authors":[{"text":"McKee, Karen L. 0000-0001-7042-670X mckeek@usgs.gov","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":704,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"mckeek@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":742733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vervaeke, William 0000-0002-1518-5197 vervaekew@usgs.gov","orcid":"https://orcid.org/0000-0002-1518-5197","contributorId":3265,"corporation":false,"usgs":true,"family":"Vervaeke","given":"William","email":"vervaekew@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":724394,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194696,"text":"70194696 - 2018 - Occurrence of dichloroacetamide herbicide safeners and co-applied herbicides in midwestern U.S. streams","interactions":[],"lastModifiedDate":"2018-03-27T11:15:36","indexId":"70194696","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of dichloroacetamide herbicide safeners and co-applied herbicides in midwestern U.S. streams","docAbstract":"<p><span>Dichloroacetamide safeners (e.g., AD-67, benoxacor, dichlormid, and furilazole) are co-applied with chloroacetanilide herbicides to protect crops from herbicide toxicity. While such safeners have been used since the early 1970s, there are minimal data about safener usage, occurrence in streams, or potential ecological effects. This study focused on one of these research gaps, occurrence in streams. Seven Midwestern U.S. streams (five in Iowa and two in Illinois), with extensive row-crop agriculture, were sampled at varying frequencies from spring 2016 through summer 2017. All four safeners were detected at least once; furilazole was the most frequently detected (31%), followed by benoxacor (29%), dichlormid (15%), and AD-67 (2%). The maximum concentrations ranged from 42 to 190 ng/L. Stream detections and concentrations of safeners appear to be driven by a combination of timing of application (spring following herbicide application) and precipitation events. Detected concentrations were below known toxicity levels for aquatic organisms.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.estlett.7b00505","usgsCitation":"Woodward, E., Hladik, M., and Kolpin, D.W., 2018, Occurrence of dichloroacetamide herbicide safeners and co-applied herbicides in midwestern U.S. streams: Environmental Science & Technology Letters, v. 5, no. 1, p. 3-8, https://doi.org/10.1021/acs.estlett.7b00505.","productDescription":"6 p.","startPage":"3","endPage":"8","ipdsId":"IP-090680","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":438067,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CZ363N","text":"USGS data release","linkHelpText":"Herbicide safeners and associated stream flow for water samples collected across Iowa and Illinois (2016-2017)."},{"id":349957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.3837890625,\n              40.027614437486655\n            ],\n            [\n              -87.506103515625,\n              40.027614437486655\n            ],\n            [\n              -87.506103515625,\n              43.50872101129684\n            ],\n            [\n              -93.3837890625,\n              43.50872101129684\n            ],\n            [\n              -93.3837890625,\n              40.027614437486655\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-05","publicationStatus":"PW","scienceBaseUri":"5a60faf6e4b06e28e9c22a1c","contributors":{"authors":[{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724913,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194518,"text":"70194518 - 2018 - Inferring epidemiologic dynamics from viral evolution: 2014–2015 Eurasian/North American highly pathogenic avian influenza viruses exceed transmission threshold, R0 = 1, in wild birds and poultry in North America","interactions":[],"lastModifiedDate":"2018-04-17T12:36:20","indexId":"70194518","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Inferring epidemiologic dynamics from viral evolution: 2014–2015 Eurasian/North American highly pathogenic avian influenza viruses exceed transmission threshold, R<sub>0</sub> = 1, in wild birds and poultry in North America","title":"Inferring epidemiologic dynamics from viral evolution: 2014–2015 Eurasian/North American highly pathogenic avian influenza viruses exceed transmission threshold, R0 = 1, in wild birds and poultry in North America","docAbstract":"<p><span>Highly pathogenic avian influenza virus (HPAIV) is a multihost pathogen with lineages that pose health risks for domestic birds, wild birds, and humans. One mechanism of intercontinental HPAIV spread is through wild bird reservoirs, and wild birds were the likely sources of a Eurasian (EA) lineage HPAIV into North America in 2014. The introduction resulted in several reassortment events with North American (NA) lineage low-pathogenic avian influenza viruses and the reassortant EA/NA H5N2 went on to cause one of the largest HPAIV poultry outbreaks in North America. We evaluated three hypotheses about novel HPAIV introduced into wild and domestic bird hosts: (i) transmission of novel HPAIVs in wild birds was restricted by mechanisms associated with highly pathogenic phenotypes; (ii) the HPAIV poultry outbreak was not self-sustaining and required viral input from wild birds; and (iii) reassortment of the EA H5N8 generated reassortant EA/NA AIVs with a fitness advantage over fully Eurasian lineages in North American wild birds. We used a time-rooted phylodynamic model that explicitly incorporated viral population dynamics with evolutionary dynamics to estimate the basic reproductive number (</span><i>R</i><sub>0</sub><span>) and viral migration among host types in domestic and wild birds, as well as between the EA H5N8 and EA/NA H5N2 in wild birds. We did not find evidence to support hypothesis (i) or (ii) as our estimates of the transmission parameters suggested that the HPAIV outbreak met or exceeded the threshold for persistence in wild birds (</span><i>R</i><sub>0</sub><span>&nbsp;&gt;&nbsp;1) and poultry (</span><i>R</i><sub>0</sub><span>&nbsp;≈&nbsp;1) with minimal estimated transmission among host types. There was also no evidence to support hypothesis (iii) because<span>&nbsp;</span></span><i>R</i><sub>0</sub><span><span>&nbsp;</span>values were similar among EA H5N8 and EA/NA H5N2 in wild birds. Our results suggest that this novel HPAIV and reassortments did not encounter any transmission barriers sufficient to prevent persistence when introduced to wild or domestic birds.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eva.12576","usgsCitation":"Grear, D.R., Hall, J.S., Dusek, R.J., and Ip, S., 2018, Inferring epidemiologic dynamics from viral evolution: 2014–2015 Eurasian/North American highly pathogenic avian influenza viruses exceed transmission threshold, R0 = 1, in wild birds and poultry in North America: Evolutionary Applications, v. 11, no. 4, p. 547-557, https://doi.org/10.1111/eva.12576.","productDescription":"11 p.","startPage":"547","endPage":"557","ipdsId":"IP-084949","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12576","text":"Publisher Index Page"},{"id":349623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf7e4b06e28e9c22a2c","contributors":{"authors":[{"text":"Grear, Daniel R. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":201066,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":725397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":724244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":724245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":724246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194525,"text":"70194525 - 2018 - Molybdenum isotope fractionation during adsorption to organic matter","interactions":[],"lastModifiedDate":"2017-12-11T12:59:30","indexId":"70194525","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Molybdenum isotope fractionation during adsorption to organic matter","docAbstract":"<p><span>Organic matter is of emerging interest as a control on molybdenum (Mo) biogeochemistry, and information on isotope fractionation during adsorption to organic matter can improve interpretations of Mo isotope variations in natural settings. Molybdenum isotope fractionation was investigated during adsorption onto insolubilized humic acid (IHA), a surrogate for organic matter, as a function of time (2–170 h) and pH (2–7). For the time series experiment performed at pH 4.2, the average Mo isotope fractionation between the solution and the IHA (Δ</span><sup>98</sup><span>Mo</span><sub>solution-IHA</sub><span>) was 1.39‰ (± 0.16‰, 2σ, based on<span>&nbsp;</span></span><sup>98</sup><span>Mo/</span><sup>95</sup><span>Mo relative to the NIST 3134 standard) at steady state. For the pH series experiment, Mo adsorption decreased as pH increased from 2.0 to 6.9, and the Δ</span><sup>98</sup><span>Mo</span><sub>solution-IHA</sub><span><span>&nbsp;</span>increased from 0.82‰ to 1.79‰. We also evaluated natural Mo isotope patterns in precipitation, foliage, organic horizon, surface mineral soil, and bedrock from 12 forested sites in the Oregon Coast Range. The average Mo isotope offset observed between precipitation and organic (O) horizon soil was 2.1‰, with light Mo isotopes adsorbing preferentially to organic matter. Fractionation during adsorption to organic matter is similar in magnitude and direction to prior observations of Mo fractionation during adsorption to Fe- and Mn- (oxyhydr)oxides. Our finding that organic matter influences Mo isotope composition has important implications for the role of organic matter as a driver of trace metal retention and isotopic fractionation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2017.11.014","usgsCitation":"King, E., Perakis, S.S., and Pett-Ridge, J.C., 2018, Molybdenum isotope fractionation during adsorption to organic matter: Geochimica et Cosmochimica Acta, v. 222, p. 584-598, https://doi.org/10.1016/j.gca.2017.11.014.","productDescription":"15 p.","startPage":"584","endPage":"598","ipdsId":"IP-087758","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":469152,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2017.11.014","text":"Publisher Index Page"},{"id":349646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"222","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad6e4b06e28e9c22780","contributors":{"authors":[{"text":"King, Elizabeth K.","contributorId":146931,"corporation":false,"usgs":false,"family":"King","given":"Elizabeth K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":724312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","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":724311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pett-Ridge, Julie C.","contributorId":172441,"corporation":false,"usgs":false,"family":"Pett-Ridge","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":724313,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194517,"text":"70194517 - 2018 - Water guns affect abundance and behavior of bigheaded carp and native fish differently","interactions":[],"lastModifiedDate":"2022-10-31T16:29:25.595511","indexId":"70194517","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Water guns affect abundance and behavior of bigheaded carp and native fish differently","docAbstract":"<p><span>Water guns have shown the potential to repel nuisance aquatic organisms. This study examines the effects of exposure to a 1966.4&nbsp;cm</span><sup>3</sup><span><span>&nbsp;</span>seismic water gun array (two guns) on the abundance and behavior of Bighead Carp<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Hypophthalmichthys nobilis</i><span>, Silver Carp<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">H. molitrix</i><span><span>&nbsp;</span>(collectively referred to as bigheaded carp) and native fishes (e.g., Smallmouth Buffalo<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Ictiobus bubalus</i><span>). Water guns were deployed in a channel that connects the Illinois River to backwater quarry pits that contained a large transient population of bigheaded carp. To evaluate the effect of water guns, mobile side-looking split-beam hydroacoustic surveys were conducted before, during and between replicated water gun firing periods. Water guns did not affect abundance of bigheaded carp, but abundance of native fish detected during the firing treatment was 43 and 34% lower than the control and water guns off treatments, respectively. The proximity of bigheaded carp to the water gun array was similar between the water guns on and water guns off treatments. In contrast, the closest detected native fish were detected farther from the water guns during the water guns on treatment (mean&nbsp;±&nbsp;SE, 32.38&nbsp;±&nbsp;3.32&nbsp;m) than during the water guns off treatment (15.04&nbsp;±&nbsp;1.59&nbsp;m). The water gun array had a greater impact on native fish species than on bigheaded carp. Caution should be taken to the extrapolation of these results to other fish species and to fish exposed to water guns in different environments (e.g., reduced shoreline interaction) or exposure to a larger array of water guns, or for use of water guns for purposes other than a barrier.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-017-1624-9","usgsCitation":"Rivera, J., Glover, D.C., Kocovsky, P., Garvey, J.E., Gaikowski, M., Jensen, N., and Adams, R.F., 2018, Water guns affect abundance and behavior of bigheaded carp and native fish differently: Biological Invasions, v. 20, no. 5, p. 1243-1255, https://doi.org/10.1007/s10530-017-1624-9.","productDescription":"13 p.","startPage":"1243","endPage":"1255","ipdsId":"IP-071514","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":349624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.45021074393868,\n              41.34496407480228\n            ],\n            [\n              -88.45021074393868,\n              41.341067466457446\n            ],\n            [\n              -88.44097485665472,\n              41.341067466457446\n            ],\n            [\n              -88.44097485665472,\n              41.34496407480228\n            ],\n            [\n              -88.45021074393868,\n              41.34496407480228\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5a60faf7e4b06e28e9c22a2f","contributors":{"authors":[{"text":"Rivera, Jose 0000-0003-3756-6860 jrivera@usgs.gov","orcid":"https://orcid.org/0000-0003-3756-6860","contributorId":201064,"corporation":false,"usgs":true,"family":"Rivera","given":"Jose","email":"jrivera@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glover, David C.","contributorId":178006,"corporation":false,"usgs":false,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":724237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":724238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garvey, James E.","contributorId":178007,"corporation":false,"usgs":false,"family":"Garvey","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Nathan R.","contributorId":201065,"corporation":false,"usgs":false,"family":"Jensen","given":"Nathan R.","affiliations":[],"preferred":false,"id":724241,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Ryan F. 0000-0001-7299-329X rfadams@usgs.gov","orcid":"https://orcid.org/0000-0001-7299-329X","contributorId":5499,"corporation":false,"usgs":true,"family":"Adams","given":"Ryan","email":"rfadams@usgs.gov","middleInitial":"F.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724242,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194515,"text":"70194515 - 2018 - Estimating the per-capita contribution of habitats and pathways in a migratory network: A modelling approach","interactions":[],"lastModifiedDate":"2018-04-27T16:47:13","indexId":"70194515","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the per-capita contribution of habitats and pathways in a migratory network: A modelling approach","docAbstract":"<p><span>Every year, migratory species undertake seasonal movements along different pathways between discrete regions and habitats. The ability to assess the relative demographic contributions of these different habitats and pathways to the species’ overall population dynamics is critical for understanding the ecology of migratory species, and also has practical applications for management and conservation. Metrics for assessing habitat contributions have been well-developed for metapopulations, but an equivalent metric is not currently available for migratory populations. Here, we develop a framework for estimating the demographic contributions of the discrete habitats and pathways used by migratory species throughout the annual cycle by estimating the per capita contribution of cohorts using these locations. Our framework accounts for seasonal movements between multiple breeding and non-breeding habitats and for both resident and migratory cohorts. We illustrate our framework using a hypothetical migratory network of four habitats, which allows us to better understand how variations in habitat quality affect per capita contributions. Results indicate that per capita contributions for any habitat or pathway are dependent on habitat-specific survival probabilities in all other areas used as part of the migratory circuit, and that contribution metrics are spatially linked (e.g. reduced survival in one habitat also decreases the contribution metric for other habitats). Our framework expands existing theory on the dynamics of spatiotemporally structured populations by developing a generalized approach to estimate the habitat- and pathway-specific contributions of species migrating between multiple breeding and multiple non-breeding habitats for a range of life histories or migratory strategies. Most importantly, it provides a means of prioritizing conservation efforts towards those migratory pathways and habitats that are most critical for the population viability of migratory species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.02718","usgsCitation":"Wiederholt, R., Mattsson, B.J., Thogmartin, W.E., Runge, M.C., Diffendorfer, J.E., Erickson, R.A., Federico, P., Lopez-Hoffman, L., Fryxell, J., Norris, D.R., and Sample, C., 2018, Estimating the per-capita contribution of habitats and pathways in a migratory network: A modelling approach: Ecography, v. 41, no. 5, p. 815-824, https://doi.org/10.1111/ecog.02718.","productDescription":"10 p.","startPage":"815","endPage":"824","ipdsId":"IP-076968","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":349625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"5a60faf7e4b06e28e9c22a32","contributors":{"authors":[{"text":"Wiederholt, Ruscena","contributorId":149125,"corporation":false,"usgs":false,"family":"Wiederholt","given":"Ruscena","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":724217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mattsson, Brady J.","contributorId":201057,"corporation":false,"usgs":false,"family":"Mattsson","given":"Brady","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":724216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":724220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724221,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Federico, Paula","contributorId":201058,"corporation":false,"usgs":false,"family":"Federico","given":"Paula","email":"","affiliations":[],"preferred":false,"id":724222,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":724223,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fryxell, John","contributorId":201059,"corporation":false,"usgs":false,"family":"Fryxell","given":"John","email":"","affiliations":[],"preferred":false,"id":724224,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Norris, D. Ryan","contributorId":59734,"corporation":false,"usgs":true,"family":"Norris","given":"D.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":724225,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sample, Christine","contributorId":201060,"corporation":false,"usgs":false,"family":"Sample","given":"Christine","email":"","affiliations":[],"preferred":false,"id":724226,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70194490,"text":"70194490 - 2018 - The geomorphic legacy of water and erosion control structures in a semiarid rangeland watershed","interactions":[],"lastModifiedDate":"2018-03-26T14:28:05","indexId":"70194490","displayToPublicDate":"2017-11-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"The geomorphic legacy of water and erosion control structures in a semiarid rangeland watershed","docAbstract":"<p><span>Control over water supply and distribution is critical for agriculture in drylands where manipulating surface runoff often serves the dual purpose of erosion control. However, little is known of the geomorphic impacts and legacy effects of rangeland water manipulation infrastructure, especially if not maintained. This study investigated the geomorphic impacts of structures such as earthen berms, water control gates, and stock tanks, in a semiarid rangeland in the southwestern USA that is responding to both regional channel incision that was initiated over a century ago, and a more recent land use change that involved cattle removal and abandonment of structures. The functional condition of remnant structures was inventoried, mapped, and assessed using aerial imagery and lidar data. Headcut initiation, scour, and channel incision associated with compromised lateral channel berms, concrete water control structures, floodplain water spreader berms, and stock tanks were identified as threats to floodplains and associated habitat. Almost half of 27 identified lateral channel berms (48%) have been breached and 15% have experienced lateral scour; 18% of 218 shorter water spreader berms have been breached and 17% have experienced lateral scour. A relatively small number of 117 stock tanks (6%) are identified as structurally compromised based on analysis of aerial imagery, although many currently do not provide consistent water supplies. In some cases, the onset of localized disturbance is recent enough that opportunities for mitigation can be identified to alter the potentially damaging erosion trajectories that are ultimately driven by regional geomorphic instability. Understanding the effects of prior land use and remnant structures on channel and floodplain morphologic condition is critical because both current land management and future land use options are constrained by inherited land use legacy effects.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4287","usgsCitation":"Nichols, M.H., Magirl, C.S., Sayre, N., and Shaw, J.R., 2018, The geomorphic legacy of water and erosion control structures in a semiarid rangeland watershed: Earth Surface Processes and Landforms, v. 43, no. 4, p. 909-918, https://doi.org/10.1002/esp.4287.","productDescription":"10 p.","startPage":"909","endPage":"918","ipdsId":"IP-088934","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":349587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Buenos Aires National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.57440185546875,\n              31.43159261047983\n            ],\n            [\n              -111.34506225585938,\n              31.43159261047983\n            ],\n            [\n              -111.34506225585938,\n              31.81572994283835\n            ],\n            [\n              -111.57440185546875,\n              31.81572994283835\n            ],\n            [\n              -111.57440185546875,\n              31.43159261047983\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-18","publicationStatus":"PW","scienceBaseUri":"5a60fafbe4b06e28e9c22a7b","contributors":{"authors":[{"text":"Nichols, Mary H.","contributorId":201006,"corporation":false,"usgs":false,"family":"Nichols","given":"Mary","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":724085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sayre, N.F.","contributorId":201007,"corporation":false,"usgs":false,"family":"Sayre","given":"N.F.","email":"","affiliations":[],"preferred":false,"id":724086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaw, Jeremy R.","contributorId":201008,"corporation":false,"usgs":false,"family":"Shaw","given":"Jeremy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196037,"text":"70196037 - 2018 - Weekly summer diet of gray wolves (Canis lupus) in northeastern Minnesota","interactions":[],"lastModifiedDate":"2018-03-15T11:06:17","indexId":"70196037","displayToPublicDate":"2017-11-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Weekly summer diet of gray wolves (<i>Canis lupus</i>) in northeastern Minnesota","title":"Weekly summer diet of gray wolves (Canis lupus) in northeastern Minnesota","docAbstract":"<p><span>Wolves (</span><i>Canis lupus</i><span>) are opportunistic predators and will capitalize on available abundant food sources. However, wolf diet has primarily been examined at monthly, seasonal, or annual scales, which can obscure short-term responses to available food. We examined weekly wolf diet from late June to early October by collecting scats from a single wolf pack in northeastern Minnesota. During our 15 week study, nonungulate food types constituted 58% of diet biomass. Deer (</span><i>Odocoileus virginianus</i><span>) fawns were a major food item until mid-July after which berries (primarily<span>&nbsp;</span></span><i>Vaccinium&nbsp;</i><span>and<span>&nbsp;</span></span><i><i>Rubus</i></i><span><span>&nbsp;</span>spp.) composed 56–83% of weekly diet biomass until mid-August. After mid-August, snowshoe hares (</span><i>Lepus americanus</i><span>) and adult deer were the primary prey. Weekly diet diversity approximately doubled from June to October as wolves began using several food types in similar proportions as the summer transitioned into fall. Recreational hunting of black bears (</span><i>Ursus americanus</i><span>) contributed to weekly wolf diet in the fall as wolves consumed foods from bear bait piles and from gut piles/carcasses of successfully harvested or fatally wounded bears. To our knowledge, we are the first to examine wolf diet via scat analysis at weekly intervals, which enabled us to provide a detailed description of diet plasticity of this wolf pack, as well as the rapidity with which wolves can respond to new available food sources.</span></p>","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-179.1.15","usgsCitation":"Gable, T.D., Windels, S.K., Bruggink, J.G., and Barber-Meyer, S., 2018, Weekly summer diet of gray wolves (Canis lupus) in northeastern Minnesota: American Midland Naturalist, v. 179, no. 1, p. 15-27, https://doi.org/10.1674/0003-0031-179.1.15.","productDescription":"13 p.","startPage":"15","endPage":"27","ipdsId":"IP-081332","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":352523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Kabetogama State Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.89627075195312,\n              48.120267527274464\n            ],\n            [\n              -92.46368408203125,\n              48.120267527274464\n            ],\n            [\n              -92.46368408203125,\n              48.34529727896014\n            ],\n            [\n              -92.89627075195312,\n              48.34529727896014\n            ],\n            [\n              -92.89627075195312,\n              48.120267527274464\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"179","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee755e4b0da30c1bfc26f","contributors":{"authors":[{"text":"Gable, Thomas D.","contributorId":203312,"corporation":false,"usgs":false,"family":"Gable","given":"Thomas","email":"","middleInitial":"D.","affiliations":[{"id":36598,"text":"Dept of Biol, Northern Michigan University","active":true,"usgs":false}],"preferred":false,"id":731090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windels, Steve K.","contributorId":182422,"corporation":false,"usgs":false,"family":"Windels","given":"Steve","email":"","middleInitial":"K.","affiliations":[{"id":18939,"text":"Voyageurs National Park","active":true,"usgs":false}],"preferred":false,"id":731091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruggink, John G.","contributorId":203313,"corporation":false,"usgs":false,"family":"Bruggink","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":36598,"text":"Dept of Biol, Northern Michigan University","active":true,"usgs":false}],"preferred":false,"id":731092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":191875,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":731089,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228185,"text":"70228185 - 2018 - Watershed export of fine sediment, organic carbon, and chlorophyll-a to Chesapeake Bay: Spatial and temporal patterns in 1984–2016","interactions":[],"lastModifiedDate":"2022-02-07T16:53:32.713489","indexId":"70228185","displayToPublicDate":"2017-11-29T10:50:36","publicationYear":"2018","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":"Watershed export of fine sediment, organic carbon, and chlorophyll-a to Chesapeake Bay: Spatial and temporal patterns in 1984–2016","docAbstract":"<p><span>Chesapeake Bay has long experienced&nbsp;nutrient enrichment&nbsp;and water clarity deterioration. This study provides new quantification of loads and yields for sediment (fine and coarse grained),&nbsp;organic carbon (total, dissolved, and particulate), and chlorophyll-a from the monitored nontidal Chesapeake Bay watershed (MNTCBW), all of which are expected to drive estuarine water clarity. We conducted an integrated analysis of nine major tributaries to the Bay to understand spatial and temporal export patterns over the last thirty years (1984–2016). In terms of spatial pattern, export of these constituents from the MNTCBW was strongly dominated (~</span><span>&nbsp;</span><span>90%) by the three largest tributaries (i.e., Susquehanna, Potomac, and James). Among the nine tributaries, the ranking of constituent export generally follows the order of their watershed sizes, with other factors such as land use and reservoir playing important roles in some exceptions. In terms of partitioning,&nbsp;suspended sediment&nbsp;(SS) export was dominated by&nbsp;fine-grained sediment&nbsp;(SS</span><sub>fine</sub><span>) in all nine tributaries; overall, ~</span><span>&nbsp;</span><span>90% of the MNTCBW SS is SS</span><sub>fine</sub><span>. Total&nbsp;organic carbon&nbsp;(TOC) export was dominated by&nbsp;dissolved organic carbon&nbsp;(DOC) in all tributaries except Potomac River; overall, ~</span><span>&nbsp;</span><span>60% of the MNTCBW TOC is DOC. A comparison with literature shows that the MNTCBW SS and TOC yields were ~</span><span>&nbsp;</span><span>80% and ~</span><span>&nbsp;</span><span>60% of the respective medians of worldwide watersheds. In terms of temporal pattern, flow-normalized yields from the MNTCBW show overall increases in SS (both long-term [1984–2016] and short-term [2004–2016]), SS</span><sub>fine</sub><span>&nbsp;(long-term and short-term), TOC (long-term), and chlorophyll-a (short-term). The rises in SS, SS</span><sub>fine</sub><span>, and TOC were largely driven by Susquehanna River where Conowingo Reservoir's trapping efficiency has greatly diminished in the last twenty years. Overall, these new results on the status and trends of sediment, organic carbon, and chlorophyll-a provide the foundation for building potential linkages between riverine inputs and estuarine water clarity patterns.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.10.279","usgsCitation":"Zhang, Q., and Blomquist, J.D., 2018, Watershed export of fine sediment, organic carbon, and chlorophyll-a to Chesapeake Bay: Spatial and temporal patterns in 1984–2016: Science of the Total Environment, v. 619-620, p. 1066-1078, https://doi.org/10.1016/j.scitotenv.2017.10.279.","productDescription":"13 p.","startPage":"1066","endPage":"1078","ipdsId":"IP-091910","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":469153,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.10.279","text":"Publisher Index 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Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":833345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833346,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194112,"text":"70194112 - 2018 - Anticoagulant rodenticide toxicity to non-target wildlife under controlled exposure conditions","interactions":[],"lastModifiedDate":"2017-11-30T12:36:42","indexId":"70194112","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Anticoagulant rodenticide toxicity to non-target wildlife under controlled exposure conditions","docAbstract":"Much of our understanding of anticoagulant rodenticide toxicity to non-target wildlife has been derived from molecular through whole animal research and registration studies in domesticated birds and mammals, and to a lesser degree from trials with captive wildlife. Using these data, an adverse outcome pathway identifying molecular initiating and anchoring events (inhibition of vitamin K epoxide reductase, failure to activate clotting factors), and established and plausible linkages (coagulopathy, hemorrhage, anemia, reduced fitness) associated with toxicity, is presented. Controlled exposure studies have demonstrated that second-generation anticoagulant rodenticides (e.g., brodifacoum) are more toxic than first- and intermediate-generation compounds (e.g., warfarin, diphacinone), however the difference in potency is diminished when first- and intermediate-generation compounds are administered on multiple days. Differences in species sensitivity are inconsistent among compounds. Numerous studies have compared mortality rate of predators fed prey or tissue containing anticoagulant rodenticides. In secondary exposure studies in birds, brodifacoum appears to pose the greatest risk, with bromadiolone, difenacoum, flocoumafen and difethialone being less hazardous than brodifacoum, and warfarin, coumatetralyl, coumafuryl, chlorophacinone and diphacinone being even less hazardous. In contrast, substantial mortality was noted in secondary exposure studies in mammals ingesting prey or tissue diets containing either second- or intermediate-generation compounds. Sublethal responses (e.g., prolonged clotting time, reduced hematocrit and anemia) have been used to study the sequelae of anticoagulant intoxication, and to some degree in the establishment of toxicity thresholds or toxicity reference values. Surprisingly few studies have undertaken histopathological evaluations to identify cellular lesions and hemorrhage associated with anticoagulant rodenticide exposure in non-target wildlife. Ecological risk assessments of anticoagulant rodenticides would be improved with additional data on (i) interspecific differences in sensitivity, particularly for understudied taxa, (ii) sublethal effects unrelated to coagulopathy, (iii) responses to mixtures and sequential exposures, and (iv) the role of vitamin K status on toxicity, and significance of inclusion of supplemental vitamin K or menadione (provitamin) in the diet of test organisms. A more complete understanding of the toxicity of anticoagulant rodenticides in non-target wildlife would enable regulators and natural resource managers to better predict and even mitigate risk.","largerWorkTitle":"Anticoagulant rodenticides and wildlife","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-64377-9_3","usgsCitation":"Rattner, B.A., and Mastrota, F.N., 2018, Anticoagulant rodenticide toxicity to non-target wildlife under controlled exposure conditions, chap. <i>of</i> Anticoagulant rodenticides and wildlife, v. 5, p. 45-86, https://doi.org/10.1007/978-3-319-64377-9_3.","productDescription":"42 p.","startPage":"45","endPage":"86","ipdsId":"IP-073175","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-11","publicationStatus":"PW","scienceBaseUri":"5a60fad6e4b06e28e9c22782","contributors":{"editors":[{"text":"van den Brink, Nico","contributorId":127370,"corporation":false,"usgs":false,"family":"van den Brink","given":"Nico","affiliations":[{"id":6920,"text":"Wageningen University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":724035,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Elliott, J.","contributorId":200997,"corporation":false,"usgs":false,"family":"Elliott","given":"J.","affiliations":[],"preferred":false,"id":724036,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Shore, R.","contributorId":200998,"corporation":false,"usgs":false,"family":"Shore","given":"R.","email":"","affiliations":[],"preferred":false,"id":724037,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rattner, B.","contributorId":51416,"corporation":false,"usgs":true,"family":"Rattner","given":"B.","affiliations":[],"preferred":false,"id":724038,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":722111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastrota, F. Nicholas","contributorId":200995,"corporation":false,"usgs":false,"family":"Mastrota","given":"F.","email":"","middleInitial":"Nicholas","affiliations":[],"preferred":false,"id":724034,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194446,"text":"70194446 - 2018 - Effects of host injury on susceptibility of marine reef fishes to ectoparasitic gnathiid isopods","interactions":[],"lastModifiedDate":"2018-04-27T16:48:09","indexId":"70194446","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5073,"text":"Symbiosis","active":true,"publicationSubtype":{"id":10}},"title":"Effects of host injury on susceptibility of marine reef fishes to ectoparasitic gnathiid isopods","docAbstract":"<p><span>The importance of the role that parasites play in ecological communities is becoming increasingly apparent. However much about their impact on hosts and thus populations and communities remains poorly understood. A common observation in wild populations is high variation in levels of parasite infestation among hosts. While high variation could be due to chance encounter, there is increasing evidence to suggest that such patterns are due to a combination of environmental, host, and parasite factors. In order to examine the role of host condition on parasite infection, rates of&nbsp;</span><i class=\"EmphasisTypeItalic \">Gnathia marleyi</i><span><span>&nbsp;</span>infestation were compared between experimentally injured and uninjured fish hosts. Experimental injuries were similar to the minor wounds commonly observed in nature. The presence of the injury significantly increased the probability of infestation by gnathiids. However, the level of infestation (i.e., total number of gnathiid parasites) for individual hosts, appeared to be unaffected by the treatment. The results from this study indicate that injuries obtained by fish in nature may carry the additional cost of increased parasite burden along with the costs typically associated with physical injury. These results suggest that host condition may be an important factor in determining the likelihood of infestation by a common coral reef fish ectoparasite,<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">G. marleyi</i><span>.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13199-017-0518-z","usgsCitation":"Jenkins, W.G., Demopoulos, A.W., and Sikkel, P.C., 2018, Effects of host injury on susceptibility of marine reef fishes to ectoparasitic gnathiid isopods: Symbiosis, v. 75, no. 2, p. 113-121, https://doi.org/10.1007/s13199-017-0518-z.","productDescription":"9 p.","startPage":"113","endPage":"121","ipdsId":"IP-087918","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-13","publicationStatus":"PW","scienceBaseUri":"5a60fafde4b06e28e9c22a98","contributors":{"authors":[{"text":"Jenkins, William G. 0000-0001-5133-2628","orcid":"https://orcid.org/0000-0001-5133-2628","contributorId":200936,"corporation":false,"usgs":false,"family":"Jenkins","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":723855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":196216,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":723854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sikkel, Paul C.","contributorId":140403,"corporation":false,"usgs":false,"family":"Sikkel","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":13476,"text":"Arkansas State University, State University, AR","active":true,"usgs":false}],"preferred":false,"id":723856,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194479,"text":"70194479 - 2018 - An extirpated lineage of a threatened frog species resurfaces in southern California","interactions":[],"lastModifiedDate":"2018-09-28T14:30:11","indexId":"70194479","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2968,"text":"Oryx","active":true,"publicationSubtype":{"id":10}},"title":"An extirpated lineage of a threatened frog species resurfaces in southern California","docAbstract":"<p><span>Southern California has experienced widespread amphibian declines since the 1960s. One species, the Vulnerable California red-legged frog&nbsp;</span><span class=\"italic\">Rana draytonii</span><span>, is now considered to be extirpated from most of southern California. In February 2017 a population of<span>&nbsp;</span></span><span class=\"italic\">R. draytonii</span><span><span>&nbsp;</span>was discovered in the southern foothills of the San Bernardino Mountains of Riverside County, California, near the edge of the species’ historical distribution. This population belongs to an mtDNA lineage that was presumed to be extirpated within the USA but is still extant in Baja California, Mexico. This discovery increases the potential for future, evolutionarily informed translocations within the southern portion of this species’ range in California.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0030605317001168","usgsCitation":"Backlin, A.R., Richmond, J.Q., Gallegos, E., Christensen, C.K., and Fisher, R.N., 2018, An extirpated lineage of a threatened frog species resurfaces in southern California: Oryx, v. 52, no. 4, p. 718-722, https://doi.org/10.1017/S0030605317001168.","productDescription":"5 p.","startPage":"718","endPage":"722","ipdsId":"IP-085992","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469154,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0030605317001168","text":"Publisher Index Page"},{"id":438068,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7C82870","text":"USGS data release","linkHelpText":"New record of California red-legged frogs (Rana draytonii) in Whitewater Canyon, Riverside County, CA, USA"},{"id":349528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-27","publicationStatus":"PW","scienceBaseUri":"5a60fafbe4b06e28e9c22a85","contributors":{"authors":[{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallegos, Elizabeth 0000-0002-8402-2631 egallegos@usgs.gov","orcid":"https://orcid.org/0000-0002-8402-2631","contributorId":1528,"corporation":false,"usgs":true,"family":"Gallegos","given":"Elizabeth","email":"egallegos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Clinton K.","contributorId":200990,"corporation":false,"usgs":false,"family":"Christensen","given":"Clinton","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":724025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724021,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194110,"text":"70194110 - 2018 - Anticoagulant rodenticides and wildlife: Concluding remarks","interactions":[],"lastModifiedDate":"2017-11-30T09:52:17","indexId":"70194110","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Anticoagulant rodenticides and wildlife: Concluding remarks","docAbstract":"Rodents are known to affect human society globally in various adverse ways, resulting in a widespread demand for their continuous control. Anticoagulant rodenticides (ARs) have been, and currently remain, the cornerstone of rodent control throughout the world. Although alternative control methods exist, they are generally less effective. ARs work by affecting vitamin K metabolism, thereby preventing the activation of blood clotting factors and eventual coagulopathy. Since ARs are non-selective, their undoubted benefits for rodent control have to be balanced against the environmental risks that these compounds pose. Although they have been used for decades, pharmacokinetic and toxicokinetic data are mainly available for laboratory mammals and have concentrated on acute effects. Limited information is available on chronic exposure scenarios and for wildlife species. Important gaps exist in our understanding of the large inter- and intra-species differences in sensitivity to ARs, especially for non-target species, and in our knowledge about the occurrence and importance of sub-lethal effects in wildlife. It is clear that mere presence of AR residues in the body tissues may not indicate the occurrence of effects, although unequivocal assessment of effects under field conditions is difficult. Ante-mortem symptoms, like lethargy, subdued behaviour and unresponsiveness are generally not very specific as is true for more generic post-mortem observations (e.g. pallor of the mucous membranes or occurrence of haemorrhages). It is only by combining ante or post-mortem data with information on exposure that effects in the field may be confirmed. We do know however that a wide variety of non-target species are directly exposed to ARs. Secondary exposure in predators is also widespread although there is limited information on whether this exposure causes actual effects. Exposure is driven by ecological factors and is context specific with respect to spatial habitat configuration and bait placement. Another key factor that affects the interaction between ARs and wildlife is the development of resistance in target species. The development of resistance has resulted in higher use of SGARs, thereby increasing the potential of non-target and secondary exposure. AR use has increasingly become more strictly regulated, increasing the need for alternatives. Alternatives are available, including non-anticoagulant rodenticides, but these may also pose significant risk to environmental organisms, humans and pets. There are also various mitigation measures that can be implemented when using ARs, including bait protection, pulsed baiting at the onset of infestation, restricting use by non-professionals, and avoiding use in areas of high non-target density. Reduction in secondary exposure may result from e.g. non-chemical control, habitat management, and, in agricultural habitats, the use of lure crops and supplemental feeding. Such Integrated Pest Management (IPM) may not only reduce non-target exposure but also benefit resistance management. Barriers to adopt IPM approaches however, include the perception that they do not work or too slowly and are more laborious, expensive and time consuming. It is therefore important that the expectations of stakeholders are considered and managed. Nevertheless, further development of alternatives and IPM measures is essential, so the key research priority related to rodent control may ultimately be to address the lack of scientific assessment of the effectiveness of both specific AR mitigation measures and of IPM approaches to rodent control.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Anticoagulant rodenticides and wildlife","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-64377-9_14","usgsCitation":"van den Brink, N.W., Elliott, J., Shore, R., and Rattner, B.A., 2018, Anticoagulant rodenticides and wildlife: Concluding remarks, chap. <i>of</i> Anticoagulant rodenticides and wildlife, v. 5, p. 379-386, https://doi.org/10.1007/978-3-319-64377-9_14.","productDescription":"8 p.","startPage":"379","endPage":"386","ipdsId":"IP-086091","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":500002,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/anticoagulant-rodenticides-and-wildlife-concluding-remarks","text":"External Repository"},{"id":349540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-11","publicationStatus":"PW","scienceBaseUri":"5a60fad6e4b06e28e9c22787","contributors":{"authors":[{"text":"van den Brink, Nico W.","contributorId":39229,"corporation":false,"usgs":true,"family":"van den Brink","given":"Nico","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":724046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, John E.","contributorId":169675,"corporation":false,"usgs":false,"family":"Elliott","given":"John E.","affiliations":[],"preferred":false,"id":724047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shore, Richard F.","contributorId":111984,"corporation":false,"usgs":true,"family":"Shore","given":"Richard F.","affiliations":[],"preferred":false,"id":724048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":722109,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193708,"text":"70193708 - 2018 - Urban raptor communities: Why some raptors and not others occupy urban environments","interactions":[],"lastModifiedDate":"2020-08-20T17:12:30.484472","indexId":"70193708","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Urban raptor communities: Why some raptors and not others occupy urban environments","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Urban raptors: Ecology and conservation of birds of prey in cities","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Island Press","usgsCitation":"Boal, C.W., 2018, Urban raptor communities: Why some raptors and not others occupy urban environments, chap. 3 <i>of</i> Urban raptors: Ecology and conservation of birds of prey in cities.","ipdsId":"IP-083943","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349548,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://islandpress.org/book/urban-raptors"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad6e4b06e28e9c2278a","contributors":{"editors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":724053,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dykstra, Cheryl R.","contributorId":18142,"corporation":false,"usgs":false,"family":"Dykstra","given":"Cheryl","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724054,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":720003,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194111,"text":"70194111 - 2018 - Anticoagulant rodenticides and wildlife: Introduction","interactions":[],"lastModifiedDate":"2017-11-30T09:50:00","indexId":"70194111","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Anticoagulant rodenticides and wildlife: Introduction","docAbstract":"Rodents have interacted with people since the beginning of systematic food storage by humans in the early Neolithic era. Such interactions have had adverse outcomes such as threats to human health, spoiling and consumption of food sources, damage to human infrastructure and detrimental effects on indigenous island wildlife (through inadvertent anthropogenic assisted introductions). These socio/economic and environmental impacts illustrate the clear need to control populations of commensal rodents. Different methods have been applied historically but the main means of control in the last decades is through the application of rodenticides, mainly anticoagulant rodenticides (ARs) that inhibit blood clotting. The so-called First Generation Anticoagulant Rodenticides (FGARs) proved highly effective but rodents increasingly developed resistance. This led to a demand for more effective alternative compounds and paved the way to the development of Second Generation Anticoagulant Rodenticides (SGARs). These were more acutely toxic and persistent, making them more effective but also increasing the risks of exposure of non-target species and secondary poisoning of predatory species. SGARs often fail the environmental thresholds of different regulatory frameworks because of these negative side-effects, but their use is still permitted because of the overwhelming societal needs for rodent control and the lack of effective alternatives. This book provides a state-of-the-art overview of the scientific advancements in assessment of environmental exposure, effects and risks of currently used ARs. This is discussed in relation to the societal needs for rodent control, including risk mitigation and development of alternatives.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Anticoagulant rodenticides and wildlife","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-64377-9_1","usgsCitation":"van den Brink, N.W., Elliott, J., Shore, R., and Rattner, B.A., 2018, Anticoagulant rodenticides and wildlife: Introduction, chap. <i>of</i> Anticoagulant rodenticides and wildlife, v. 5, p. 1-9, https://doi.org/10.1007/978-3-319-64377-9_1.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-084360","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499976,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/anticoagulant-rodenticides-and-wildlife-introduction","text":"External Repository"},{"id":349538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-11","publicationStatus":"PW","scienceBaseUri":"5a60fad6e4b06e28e9c22784","contributors":{"editors":[{"text":"van den Brink, Nico W.","contributorId":39229,"corporation":false,"usgs":true,"family":"van den Brink","given":"Nico","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":724042,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Elliott, John E.","contributorId":169675,"corporation":false,"usgs":false,"family":"Elliott","given":"John E.","affiliations":[],"preferred":false,"id":724043,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Shore, Richard F.","contributorId":111984,"corporation":false,"usgs":true,"family":"Shore","given":"Richard F.","affiliations":[],"preferred":false,"id":724044,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724045,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"van den Brink, Nico W.","contributorId":39229,"corporation":false,"usgs":true,"family":"van den Brink","given":"Nico","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":724039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, John E.","contributorId":127368,"corporation":false,"usgs":false,"family":"Elliott","given":"John E.","affiliations":[{"id":6779,"text":"Environment Canada, Burlington, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":724040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shore, Richard F.","contributorId":111984,"corporation":false,"usgs":true,"family":"Shore","given":"Richard F.","affiliations":[],"preferred":false,"id":724041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":722110,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194450,"text":"70194450 - 2018 - Characterizing storm response and recovery using the beach change envelope: Fire Island, New York","interactions":[],"lastModifiedDate":"2017-11-29T13:02:00","indexId":"70194450","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing storm response and recovery using the beach change envelope: Fire Island, New York","docAbstract":"<p><span>Hurricane Sandy at Fire Island, New York presented unique challenges in the quantification of storm impacts using traditional metrics of coastal change, wherein measured changes (shoreline, dune crest, and volume change) did not fully reflect the substantial changes in sediment redistribution following the storm. We used a time series of beach profile data at Fire Island, New York to define a new contour-based morphologic change metric, the Beach Change Envelope (BCE). The BCE quantifies changes to the upper portion of the beach likely to sustain measurable impacts from storm waves and capture a variety of storm and post-storm beach states. We evaluated the ability of the BCE to characterize cycles of beach change by relating it to a conceptual beach recovery regime, and demonstrated that BCE width and BCE height from the profile time series correlate well with established stages of recovery. We also investigated additional applications of this metric to capture impacts from storms and human modification by applying it to several post-storm historical datasets in which impacts varied considerably; Nor'Ida (2009), Hurricane Irene (2011), Hurricane Sandy (2012), and a 2009 community replenishment. In each case, the BCE captured distinctive upper beach morphologic change characteristic of these different beach building and erosional events. Analysis of the beach state at multiple profile locations showed spatial trends in recovery consistent with recent morphologic island evolution, which other studies have linked with sediment availability and the geologic framework. Ultimately we demonstrate a new way of more effectively characterizing beach response and recovery cycles to evaluate change along sandy coasts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.08.004","usgsCitation":"Brenner, O.T., Lentz, E.E., Hapke, C.J., Henderson, R.E., Wilson, K., and Nelson, T., 2018, Characterizing storm response and recovery using the beach change envelope: Fire Island, New York: Geomorphology, v. 300, p. 189-202, https://doi.org/10.1016/j.geomorph.2017.08.004.","productDescription":"14 p.","startPage":"189","endPage":"202","ipdsId":"IP-081355","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2017.08.004","text":"Publisher Index Page"},{"id":349532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.2242202758789,\n              40.62177060472069\n            ],\n            [\n              -73.14216613769531,\n              40.62177060472069\n            ],\n            [\n              -73.14216613769531,\n              40.65485736139743\n            ],\n            [\n              -73.2242202758789,\n              40.65485736139743\n            ],\n            [\n              -73.2242202758789,\n              40.62177060472069\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"300","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad6e4b06e28e9c22791","contributors":{"authors":[{"text":"Brenner, Owen T. 0000-0002-1588-721X obrenner@usgs.gov","orcid":"https://orcid.org/0000-0002-1588-721X","contributorId":4933,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","email":"obrenner@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":723887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henderson, Rachel E. 0000-0001-5810-7941 rehenderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5810-7941","contributorId":194022,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel","email":"rehenderson@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Kathleen 0000-0002-2810-7585 kwilson@usgs.gov","orcid":"https://orcid.org/0000-0002-2810-7585","contributorId":195620,"corporation":false,"usgs":true,"family":"Wilson","given":"Kathleen","email":"kwilson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Timothy 0000-0002-5005-7617 trnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-5005-7617","contributorId":191933,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy","email":"trnelson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723891,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194344,"text":"70194344 - 2018 - Viscous relaxation as a prerequisite for tectonic resurfacing on Ganymede: Insights from numerical models of lithospheric extension","interactions":[],"lastModifiedDate":"2018-03-19T11:25:07","indexId":"70194344","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Viscous relaxation as a prerequisite for tectonic resurfacing on Ganymede: Insights from numerical models of lithospheric extension","docAbstract":"<p><span>Ganymede’s bright terrain formed during a near-global resurfacing event (or events) that produced both heavily tectonized and relatively smooth terrains. The mechanism(s) by which resurfacing occurred on Ganymede (e.g., cryovolcanic or tectonic), and the relationship between the older, dark and the younger, bright terrain are fundamental to understanding the geological evolution of the satellite. Using a two-dimensional numerical model of lithospheric extension that has previously been used to successfully simulate surface deformation consistent with grooved terrain morphologies, we investigate whether large-amplitude preexisting topography can be resurfaced (erased) by extension (i.e., tectonic resurfacing). Using synthetically produced initial topography, we show that when the total relief of the initial topography is larger than 25–50&nbsp;m, periodic groove-like structures fail to form. Instead, extension is localized in a few individual, isolated troughs. These results pose a challenge to the tectonic resurfacing hypothesis. We further investigate the effects of preexisting topography by performing suites of simulations initialized with topography derived from digital terrain models of Ganymede’s surface. These include dark terrain, fresh (relatively deep) impact craters, smooth bright terrain, and a viscously relaxed impact crater. The simulations using dark terrain and fresh impact craters are consistent with our simulations using synthetic topography: periodic groove-like deformation fails to form. In contrast, when simulations were initialized with bright smooth terrain topography, groove-like deformation results from a wide variety of heat flow and surface temperature conditions. Similarly, when a viscously relaxed impact crater was used, groove-like structures were able to form during extension. These results suggest that tectonic resurfacing may require that the amplitude of the initial topography be reduced before extension begins. We emphasize that viscous relaxation may be the key to enabling tectonic resurfacing, as the heat fluxes associated with groove terrain formation are also capable of reducing crater topography through viscous relaxation. For long-wavelength topography (large craters) viscous relaxation is unavoidable. We propose that the resurfacing of Ganymede occurred through a combination of viscous relaxation, tectonic resurfacing, cryovolcanism and, at least in a few cases, band formation. Variations in heat flow and strain magnitudes across Ganymede likely produced the complex variety of terrain types currently observed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2017.10.017","usgsCitation":"Bland, M.T., and McKinnon, W.B., 2018, Viscous relaxation as a prerequisite for tectonic resurfacing on Ganymede: Insights from numerical models of lithospheric extension: Icarus, v. 306, p. 285-305, https://doi.org/10.1016/j.icarus.2017.10.017.","productDescription":"21 p.","startPage":"285","endPage":"305","ipdsId":"IP-085490","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":349426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"306","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb00e4b06e28e9c22ad7","contributors":{"authors":[{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":723383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinnon, William B.","contributorId":196152,"corporation":false,"usgs":false,"family":"McKinnon","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":16661,"text":"Washington University in Saint Louis","active":true,"usgs":false}],"preferred":false,"id":723384,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194430,"text":"70194430 - 2018 - Living on the edge: Opportunities for Amur tiger recovery in China","interactions":[],"lastModifiedDate":"2018-07-26T13:08:41","indexId":"70194430","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Living on the edge: Opportunities for Amur tiger recovery in China","docAbstract":"Sporadic sightings of the endangered Amur tiger Panthera tigris altaica along the China-Russia border during the late 1990s sparked efforts to expand this subspecies distribution and abundance by restoring potentially suitable habitats in the Changbai Mountains. To guide science-based recovery efforts and provide a baseline for future monitoring of this border population, empirical, quantitative information is needed on what resources and management practices promote or limit the occurrence of tigers in the region. We established a large-scale field camera-trapping network to estimate tiger density, survival and recruitment in the Hunchun Nature Reserve and the surrounding area using an open population spatially explicit capture-recapture model. We then fitted an occupancy model that accounted for detectability and spatial autocorrelation to assess the relative influence of habitat, major prey, disturbance and management on tiger habitat use patterns. Our results show that the ranges of most tigers abut the border with Russia. Tiger densities ranged between 0.20 and 0.27 individuals/100 km2 over the study area; in the Hunchun Nature Reserve, the tiger density was three times higher than that in the surrounding inland forested area. Tiger occupancy was strongly negatively related to heavy cattle grazing, human settlements and roads and was positively associated with sika deer abundance and vegetation cover. These findings can help to identify the drivers of tiger declines and dispersal limits and refine strategies for tiger conservation in the human-dominated transboundary landscape. Progressively alleviating the impacts of cattle and human disturbances on the forest, and simultaneously addressing the economic needs of local communities, should be key priority actions to increase tiger populations. The long-term goal is to expand tiger distribution by improving habitats for large ungulates.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2017.11.008","usgsCitation":"Wang, T., Royle, A., Smith, J., Zou, L., Lu, X., Li, T., Yang, H., Li, Z., Feng, R., Bian, Y., Feng, L., and Ge, J., 2018, Living on the edge: Opportunities for Amur tiger recovery in China: Biological Conservation, v. 217, p. 269-279, https://doi.org/10.1016/j.biocon.2017.11.008.","productDescription":"11 p.","startPage":"269","endPage":"279","ipdsId":"IP-090114","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Jilin Province","otherGeospatial":"Changbai Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              129.869384765625,\n              42.35042512243457\n            ],\n            [\n              131.19873046875,\n              42.35042512243457\n            ],\n            [\n              131.19873046875,\n              43.27720532212024\n            ],\n            [\n              129.869384765625,\n              43.27720532212024\n            ],\n            [\n              129.869384765625,\n              42.35042512243457\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"217","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22ac2","contributors":{"authors":[{"text":"Wang, Tianming","contributorId":200892,"corporation":false,"usgs":false,"family":"Wang","given":"Tianming","email":"","affiliations":[],"preferred":false,"id":723742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. 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Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, J.L.D.","contributorId":18480,"corporation":false,"usgs":true,"family":"Smith","given":"J.L.D.","email":"","affiliations":[],"preferred":false,"id":723743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zou, Liang","contributorId":200894,"corporation":false,"usgs":false,"family":"Zou","given":"Liang","email":"","affiliations":[],"preferred":false,"id":723744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lu, Xinyue","contributorId":200895,"corporation":false,"usgs":false,"family":"Lu","given":"Xinyue","email":"","affiliations":[],"preferred":false,"id":723745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Tong","contributorId":200896,"corporation":false,"usgs":false,"family":"Li","given":"Tong","email":"","affiliations":[],"preferred":false,"id":723746,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yang, Haitao","contributorId":200897,"corporation":false,"usgs":false,"family":"Yang","given":"Haitao","email":"","affiliations":[],"preferred":false,"id":723747,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Zhilin","contributorId":200898,"corporation":false,"usgs":false,"family":"Li","given":"Zhilin","email":"","affiliations":[],"preferred":false,"id":723748,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feng, Rongna","contributorId":200899,"corporation":false,"usgs":false,"family":"Feng","given":"Rongna","email":"","affiliations":[],"preferred":false,"id":723749,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bian, Yajing","contributorId":200900,"corporation":false,"usgs":false,"family":"Bian","given":"Yajing","email":"","affiliations":[],"preferred":false,"id":723750,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Feng, Limin","contributorId":200901,"corporation":false,"usgs":false,"family":"Feng","given":"Limin","email":"","affiliations":[],"preferred":false,"id":723751,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ge, Jianping","contributorId":200902,"corporation":false,"usgs":false,"family":"Ge","given":"Jianping","email":"","affiliations":[],"preferred":false,"id":723752,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70217648,"text":"70217648 - 2018 - Varve formation during the past three centuries in three large proglacial lakes in south-central Alaska","interactions":[],"lastModifiedDate":"2023-11-14T15:17:54.512541","indexId":"70217648","displayToPublicDate":"2017-11-27T06:48:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Varve formation during the past three centuries in three large proglacial lakes in south-central Alaska","docAbstract":"<p><span>The sediments stored in the large, deep proglacial lakes of south-central Alaska are largely unstudied. We analyzed sediments in 20 cores, up to 160 cm long, from Eklutna, Kenai, and Skilak Lakes, using a combination of repeated lamination counting, radionuclide dating, event stratigraphy, and tephrochronology. We show that the characteristically rhythmic layers were deposited annually. Most of these glacial varves consist of one coarse-grained base and a fine-grained top, but varves composed of multiple coarse-grained turbidite pulses are common too. They are likely related to successive episodes of high sediment discharge during flooding, and they become more frequent in all three lakes, along with increased sedimentation rates, during the nineteenth century late phase of the Little Ice Age. These flood turbidites were generated by rain events and intense melting of snow and ice. Other (mega) turbidites are a result of earthquake-triggered slope collapses (e.g., A.D. 1964). Some event layers are present in all three lakes. In addition, the annual time series of varve thickness (normalized annual sedimentation rate) are significantly correlated among the three lakes (ρ &gt; 0.27;&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.001). Differences between the varve thickness records can be attributed partly to the dam construction at Eklutna Lake and outbursts from an ice-dammed lake at Skilak Lake. Geomorphologic differences among the catchments result in further differences in sedimentation patterns in the three lakes.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31792.1","usgsCitation":"Boes, E., Van Daele, M., Moernaut, J., Schmidt, S., Jensen, B.J., Praet, N., Kaufman, D., Haeussler, P., Loso, M.G., and De Batist, M., 2018, Varve formation during the past three centuries in three large proglacial lakes in south-central Alaska: Geological Society of America Bulletin, v. 130, no. 5-6, p. 757-774, https://doi.org/10.1130/B31792.1.","productDescription":"18 p.","startPage":"757","endPage":"774","ipdsId":"IP-087929","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":382576,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Alaska","otherGeospatial":"Eklutna Lake, Kenai Lake, Skilak Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -150.55,\n              60.5\n            ],\n            [\n              -150.55,\n              60.35\n            ],\n            [\n              -150.05,\n              60.35\n            ],\n            [\n              -150.05,\n              60.5\n            ],\n            [\n              -150.55,\n              60.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.83446705783,\n              60.50733211465541\n            ],\n            [\n              -149.83446705783,\n              60.31048196502712\n            ],\n          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