{"pageNumber":"119","pageRowStart":"2950","pageSize":"25","recordCount":10457,"records":[{"id":70177923,"text":"70177923 - 2016 - Decoupling processes and scales of shoreline morphodynamics","interactions":[],"lastModifiedDate":"2017-01-23T15:04:17","indexId":"70177923","displayToPublicDate":"2016-10-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Decoupling processes and scales of shoreline morphodynamics","docAbstract":"

Behavior of coastal systems on time scales ranging from single storm events to years and decades is controlled by both small-scale sediment transport processes and large-scale geologic, oceanographic, and morphologic processes. Improved understanding of coastal behavior at multiple time scales is required for refining models that predict potential erosion hazards and for coastal management planning and decision-making. Here we investigate the primary controls on shoreline response along a geologically-variable barrier island on time scales resolving extreme storms and decadal variations over a period of nearly one century. An empirical orthogonal function analysis is applied to a time series of shoreline positions at Fire Island, NY to identify patterns of shoreline variance along the length of the island. We establish that there are separable patterns of shoreline behavior that represent response to oceanographic forcing as well as patterns that are not explained by this forcing. The dominant shoreline behavior occurs over large length scales in the form of alternating episodes of shoreline retreat and advance, presumably in response to storms cycles. Two secondary responses include long-term response that is correlated to known geologic variations of the island and the other reflects geomorphic patterns with medium length scale. Our study also includes the response to Hurricane Sandy and a period of post-storm recovery. It was expected that the impacts from Hurricane Sandy would disrupt long-term trends and spatial patterns. We found that the response to Sandy at Fire Island is not notable or distinguishable from several other large storms of the prior decade.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.08.008","usgsCitation":"Hapke, C.J., Plant, N.G., Henderson, R., Schwab, W.C., and Nelson, T., 2016, Decoupling processes and scales of shoreline morphodynamics: Marine Geology, v. 381, p. 42-53, https://doi.org/10.1016/j.margeo.2016.08.008.","productDescription":"12 p.","startPage":"42","endPage":"53","ipdsId":"IP-079791","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2016.08.008","text":"Publisher Index Page"},{"id":330495,"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 -73.333333,\n 40.5\n ],\n [\n -73.333333,\n 40.666666\n ],\n [\n -72.666666,\n 40.666666\n ],\n [\n -72.666666,\n 40.5\n ],\n [\n -73.333333,\n 40.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"381","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5813125de4b0b5a0c12ab671","chorus":{"doi":"10.1016/j.margeo.2016.08.008","url":"http://dx.doi.org/10.1016/j.margeo.2016.08.008","publisher":"Elsevier BV","authors":"Hapke Cheryl J., Plant Nathaniel G., Henderson Rachel.E., Schwab William C., Nelson Timothy R.","journalName":"Marine Geology","publicationDate":"11/2016"},"contributors":{"authors":[{"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":652274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":652275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Rachel E. 0000-0001-5810-7941 rhehre@usgs.gov","orcid":"https://orcid.org/0000-0001-5810-7941","contributorId":4934,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel E.","email":"rhehre@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":652276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":652277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Timothy R. trnelson@usgs.gov","contributorId":176362,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy R. ","email":"trnelson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":652278,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70177817,"text":"70177817 - 2016 - Conserving the Greater Sage-grouse: A social-ecological systems case study from the California-Nevada region","interactions":[],"lastModifiedDate":"2019-12-14T07:01:56","indexId":"70177817","displayToPublicDate":"2016-10-25T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Conserving the Greater Sage-grouse: A social-ecological systems case study from the California-Nevada region","docAbstract":"

The Endangered Species Act (ESA) continues to serve as one of the most powerful and contested federal legislative mandates for conservation. In the midst of heated debates, researchers, policy makers, and conservation practitioners champion the importance of cooperative conservation and social-ecological systems approaches, which forge partnerships at multiple levels and scales to address complex ecosystem challenges. However, few real-world examples exist to demonstrate how multifaceted collaborations among stakeholders who share a common goal of conserving at-risk species may be nested within a systems framework to achieve social and ecological goals. Here, we present a case study of Greater Sage-grouse (Centrocercus urophasianus) conservation efforts in the “Bi-State” region of California and Nevada, United States. Using key-informant interviews, we explored dimensions and drivers of this landscape-scale conservation effort. Three themes emerged from the interviews, including 1) ESA action was transformed into opportunity for system-wide conservation; 2) a diverse, locally based partnership anchored collaboration and engagement across multiple levels and scales; and 3) best-available science combined with local knowledge led to “certainty of effectiveness and implementation”—the criteria used by the US Fish and Wildlife Service to evaluate conservation efforts when making listing decisions. Ultimately, collaborative conservation through multistakeholder engagement at various levels and scales led to proactive planning and implementation of conservation measures and precluded the need for an ESA listing of the Bi-State population of Greater Sage-grouse. This article presents a potent example of how a systems approach integrating policy, management, and learning can be used to successfully overcome the conflict-laden and “wicked” challenges that surround at-risk species conservation.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2016.08.001","usgsCitation":"Duvall, A.L., Metcalf, A.L., and Coates, P.S., 2016, Conserving the Greater Sage-grouse: A social-ecological systems case study from the California-Nevada region: Rangeland Ecology and Management, v. 70, no. 1, p. 129-140, https://doi.org/10.1016/j.rama.2016.08.001.","productDescription":"12 p.","startPage":"129","endPage":"140","ipdsId":"IP-074791","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":462055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2016.08.001","text":"Publisher Index Page"},{"id":330362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, 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\"}}]}","volume":"70","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58106f97e4b0f497e7961107","contributors":{"authors":[{"text":"Duvall, Alison L","contributorId":176206,"corporation":false,"usgs":false,"family":"Duvall","given":"Alison","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":651891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metcalf, Alexander L.","contributorId":176207,"corporation":false,"usgs":false,"family":"Metcalf","given":"Alexander","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":651892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":651890,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70177820,"text":"70177820 - 2016 - Assessing conservation tools for an at-risk shorebird: Feasibility of headstarting for American Oystercatchers Haematopus palliatus","interactions":[],"lastModifiedDate":"2016-11-16T11:19:34","indexId":"70177820","displayToPublicDate":"2016-10-25T11:20:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1048,"text":"Bird Conservation International","active":true,"publicationSubtype":{"id":10}},"title":"Assessing conservation tools for an at-risk shorebird: Feasibility of headstarting for American Oystercatchers Haematopus palliatus","docAbstract":"

Management of threatened and endangered populations of wildlife increasingly relies upon active intervention such as predator control, habitat manipulation, and ex situ breeding or care. One tool that has received consideration for the management of declining or threatened avian populations is headstarting, or the artificial incubation of eggs and subsequent placement of newly hatched chicks in original or foster nests. We assessed the feasibility of implementing a headstarting program for the American Oystercatcher Haematopus palliatus, a species of high conservation concern in the eastern USA. Annual productivity is often low and lost during incubation, suggesting artificial incubation could enhance annual productivity. We used a control-impact approach to assign nests as either control or headstart and measured daily survival rate, success of parents accepting headstarted chicks, attendance patterns and behaviours of parents, and chick survival. We also implemented a transparent scoring process to rate the success of each step and the overall program. Daily survival rates of nests were significantly higher at headstart compared to control nests, and parents continued to incubate when eggs were well secured at nest sites. Attendance patterns and behaviour did not differ between headstart and control parents, and parents readily accepted healthy chicks whether they were returned to original or foster nests. Chick survival and subsequently annual productivity were, however, not higher at headstart compared to control nests suggesting that although we were able to enhance nest survival, low chick survival was still limiting annual productivity. Ultimately, headstarting may be most appropriate for American Oystercatchers where productivity is lost primarily to flooding, predation, or disturbance during the incubation stage but not during the chick-rearing stage. If, for example, high rates of nest loss are due to predators that also may prey upon chicks, then headstarting may not be an effective conservation tool.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0959270916000095","usgsCitation":"Collins, S.A., Sanders, F.J., and Jodice, P.G., 2016, Assessing conservation tools for an at-risk shorebird: Feasibility of headstarting for American Oystercatchers Haematopus palliatus: Bird Conservation International, v. 26, no. 4, p. 451-465, https://doi.org/10.1017/S0959270916000095.","productDescription":"15 p.","startPage":"451","endPage":"465","ipdsId":"IP-058481","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"58106f97e4b0f497e7961109","contributors":{"authors":[{"text":"Collins, Samantha A.","contributorId":176233,"corporation":false,"usgs":false,"family":"Collins","given":"Samantha","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":651965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders, Felicia J.","contributorId":56574,"corporation":false,"usgs":false,"family":"Sanders","given":"Felicia","email":"","middleInitial":"J.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":651966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":651895,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70177863,"text":"70177863 - 2016 - Extending ordinal regression with a latent zero-augmented beta distribution","interactions":[],"lastModifiedDate":"2016-12-01T13:19:39","indexId":"70177863","displayToPublicDate":"2016-10-25T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Extending ordinal regression with a latent zero-augmented beta distribution","docAbstract":"Ecological abundance data are often recorded on an ordinal scale in which the lowest\ncategory represents species absence. One common example is when plant species cover\nis visually assessedwithin bounded quadrats and then assigned to pre-defined cover class\ncategories.We present an ordinal beta hurdle model that directly models ordinal category\nprobabilitieswith a biologically realistic beta-distributed latent variable.Ahurdle-at-zero\nmodel allows ecologists to explore distribution (absence) and abundance processes in an\nintegrated framework. This provides an alternative to cumulative link models when data\nare inconsistent with the assumption that the odds ofmoving into a higher category are the\nsame for all categories (proportional odds). Graphical tools and a deviance information\ncriterion were developed to assess whether a hurdle-at-zero model should be used for\ninferences rather than standard ordinal methods. Hurdle-at-zero and non-hurdle ordinal\nmodels fit to vegetation cover class data produced substantially different conclusions.The\nordinal beta hurdle model yielded more precise parameter estimates than cumulative logit\nmodels, although out-of-sample predictions were similar. The ordinal beta hurdle model\nprovides inferences directly on the latent biological variable of interest, percent cover,\nand supports exploration of more realistic ecological patterns and processes through the\nhurdle-at-zero or two-part specification.We provide JAGS code as an on-line supplement.\nSupplementary materials accompanying this paper appear on-line.","language":"English","publisher":"Springer","doi":"10.1007/s13253-016-0265-2","usgsCitation":"Irvine, K.M., Rodhouse, T., and Keren, I.N., 2016, Extending ordinal regression with a latent zero-augmented beta distribution: Journal of Agricultural, Biological, and Environmental Statistics, v. 21, no. 4, p. 619-640, https://doi.org/10.1007/s13253-016-0265-2.","productDescription":"22 p.","startPage":"619","endPage":"640","ipdsId":"IP-063501","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":330352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-12","publicationStatus":"PW","scienceBaseUri":"58106f97e4b0f497e7961111","contributors":{"authors":[{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":651957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodhouse, T.J.","contributorId":10978,"corporation":false,"usgs":true,"family":"Rodhouse","given":"T.J.","affiliations":[],"preferred":false,"id":651958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keren, Ilai. N.","contributorId":176229,"corporation":false,"usgs":false,"family":"Keren","given":"Ilai.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":651959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70177792,"text":"70177792 - 2016 - Genetic and phenotypic variation along an ecological gradient in lake trout Salvelinus namaycush","interactions":[],"lastModifiedDate":"2016-10-21T12:56:28","indexId":"70177792","displayToPublicDate":"2016-10-21T13:55:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":955,"text":"BMC Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and phenotypic variation along an ecological gradient in lake trout Salvelinus namaycush","docAbstract":"

Background

Adaptive radiation involving a colonizing phenotype that rapidly evolves into at least one other ecological variant, or ecotype, has been observed in a variety of freshwater fishes in post-glacial environments. However, few studies consider how phenotypic traits vary with regard to neutral genetic partitioning along ecological gradients. Here, we present the first detailed investigation of lake trout Salvelinus namaycushthat considers variation as a cline rather than discriminatory among ecotypes. Genetic and phenotypic traits organized along common ecological gradients of water depth and geographic distance provide important insights into diversification processes in a lake with high levels of human disturbance from over-fishing.

Results

Four putative lake trout ecotypes could not be distinguished using population genetic methods, despite morphological differences. Neutral genetic partitioning in lake trout was stronger along a gradient of water depth, than by locality or ecotype. Contemporary genetic migration patterns were consistent with isolation-by-depth. Historical gene flow patterns indicated colonization from shallow to deep water. Comparison of phenotypic (Pst) and neutral genetic variation (Fst) revealed that morphological traits related to swimming performance (e.g., buoyancy, pelvic fin length) departed more strongly from neutral expectations along a depth gradient than craniofacial feeding traits. Elevated phenotypic variance with increasing water depth in pelvic fin length indicated possible ongoing character release and diversification. Finally, differences in early growth rate and asymptotic fish length across depth strata may be associated with limiting factors attributable to cold deep-water environments.

Conclusion

We provide evidence of reductions in gene flow and divergent natural selection associated with water depth in Lake Superior. Such information is relevant for documenting intraspecific biodiversity in the largest freshwater lake in the world for a species that recently lost considerable genetic diversity and is now in recovery. Unknown is whether observed patterns are a result of an early stage of incipient speciation, gene flow-selection equilibrium, or reverse speciation causing formerly divergent ecotypes to collapse into a single gene pool.

","language":"English","publisher":"BioMed Central","doi":"10.1186/s12862-016-0788-8","usgsCitation":"Baillie, S.M., Muir, A.M., Hansen, M.J., Krueger, C., and Bentzen, P., 2016, Genetic and phenotypic variation along an ecological gradient in lake trout Salvelinus namaycush: BMC Evolutionary Biology, v. 16, p. 1-16, https://doi.org/10.1186/s12862-016-0788-8.","productDescription":"Article 219; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-077029","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12862-016-0788-8","text":"Publisher Index Page"},{"id":330315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Superior, Isle Royale","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.35729980468749,\n 47.75040471827431\n ],\n [\n -89.35729980468749,\n 48.25211235426607\n ],\n [\n -88.28475952148438,\n 48.25211235426607\n ],\n [\n -88.28475952148438,\n 47.75040471827431\n ],\n [\n -89.35729980468749,\n 47.75040471827431\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-19","publicationStatus":"PW","scienceBaseUri":"5810c528e4b0f497e7972c1c","contributors":{"authors":[{"text":"Baillie, Shauna M.","contributorId":176176,"corporation":false,"usgs":false,"family":"Baillie","given":"Shauna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":651817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muir, Andrew M.","contributorId":176177,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":651818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":651816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":651819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bentzen, Paul","contributorId":176178,"corporation":false,"usgs":false,"family":"Bentzen","given":"Paul","email":"","affiliations":[],"preferred":false,"id":651820,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70177107,"text":"70177107 - 2016 - Probing the volcanic-plutonic connection and the genesis of crystal-rich rhyolite in a deeply dissected supervolcano in the Nevada Great Basin: Source of the late Eocene Caetano Tuff","interactions":[],"lastModifiedDate":"2019-11-14T11:13:42","indexId":"70177107","displayToPublicDate":"2016-10-19T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Probing the volcanic-plutonic connection and the genesis of crystal-rich rhyolite in a deeply dissected supervolcano in the Nevada Great Basin: Source of the late Eocene Caetano Tuff","docAbstract":"

Late Cenozoic faulting and large-magnitude extension in the Great Basin of the western USA has created locally deep windows into the upper crust, permitting direct study of volcanic and plutonic rocks within individual calderas. The Caetano caldera in north–central Nevada, formed during the mid-Tertiary ignimbrite flare-up, offers one of the best exposed and most complete records of caldera magmatism. Integrating whole-rock geochemistry, mineral chemistry, isotope geochemistry and geochronology with field studies and geologic mapping, we define the petrologic evolution of the magmatic system that sourced the >1100 km3Caetano Tuff. The intra-caldera Caetano Tuff is up to ∼5 km thick, composed of crystal-rich (30–45 vol. %), high-silica rhyolite, overlain by a smaller volume of comparably crystal-rich, low-silica rhyolite. It defies classification as either a monotonous intermediate or crystal-poor zoned rhyolite, as commonly ascribed to ignimbrite eruptions. Crystallization modeling based on the observed mineralogy and major and trace element geochemistry demonstrates that the compositional zonation can be explained by liquid–cumulate evolution in the Caetano Tuff magma chamber, with the more evolved lower Caetano Tuff consisting of extracted liquids that continued to crystallize and mix in the upper part of the chamber following segregation from a cumulate-rich, and more heterogeneous, source mush. The latter is represented in the caldera stratigraphy by the less evolved upper Caetano Tuff. Whole-rock major, trace and rare earth element geochemistry, modal mineralogy and mineral chemistry, O, Sr, Nd and Pb isotope geochemistry, sanidine Ar–Ar geochronology, and zircon U–Pb geochronology and trace element geochemistry provide robust evidence that the voluminous caldera intrusions (Carico Lake pluton and Redrock Canyon porphyry) are genetically equivalent to the least evolved Caetano Tuff and formed from magma that remained in the lower chamber after ignimbrite eruption and caldera collapse. Thus, the Caetano Tuff contradicts models for the mutually exclusive origins of voluminous volcanic and plutonic magmas in the upper crust. Crystal-scale O isotope data indicate that the Caetano Tuff is one of the most 18O-enriched rhyolites in the Great Basin (δ18Omagma = 10·2 ± 0·2‰), supporting anatexis of local metasedimentary basement crust. Metapelite xenoliths in the Carico Lake pluton and ubiquitous xenocrystic zircons in the Caetano Tuff provide constraints for the anatexis process; these data point to shallow (<15 km) dehydration melting of a protolith similar to the Proterozoic McCoy Creek Group siliciclastic sediments in eastern Nevada, projected beneath Caetano in fault-stacked shelf sediments that were thickened during Mesozoic crustal shortening. Mean zircon U–Pb ages for different stratigraphic levels of the intra-caldera Caetano Tuff are 34·2–34·5 Ma, 0·2–0·5 Myr older than the caldera sanidine 40Ar/39Ar age of 34·00 ± 0·03 Ma, documenting protracted duration of assembly and homogenization of isotopically diverse upper crustal melts, followed by crystallization and zonation to generate the Caetano Tuff magma chamber. Sanidine rims in the least evolved Caetano Tuff and in the Carico Lake pluton and Redrock Canyon porphyry have sharply zoned Ba domains that point to crystal growth during magmatic recharge events. The recharge magma is inferred to have been compositionally similar to the Caetano Tuff magma, with increased Ba resulting from remelting of Ba-rich sanidine cumulates. Mush reactivation to generate the Caetano Tuff eruption was sufficiently rapid to preserve compositional gradients in the intracaldera ignimbrite, calling into question models that predict homogeneity as a prerequisite for remobilizing crystal-rich ignimbrite magmas.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egw051","usgsCitation":"Watts, K.E., John, D.A., Colgan, J.P., Henry, C., Bindeman, I.N., and Schmitt, A.K., 2016, Probing the volcanic-plutonic connection and the genesis of crystal-rich rhyolite in a deeply dissected supervolcano in the Nevada Great Basin: Source of the late Eocene Caetano Tuff: Journal of Petrology, v. 57, no. 8, p. 1599-1644, https://doi.org/10.1093/petrology/egw051.","productDescription":"46 p.","startPage":"1599","endPage":"1644","ipdsId":"IP-064750","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egw051","text":"Publisher Index Page"},{"id":329728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-07","publicationStatus":"PW","scienceBaseUri":"58088686e4b0f497e78e24b9","contributors":{"authors":[{"text":"Watts, Kathryn E. 0000-0002-6110-7499 kwatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":5081,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn","email":"kwatts@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":651310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":651311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":651312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henry, Christopher D.","contributorId":175501,"corporation":false,"usgs":false,"family":"Henry","given":"Christopher D.","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":651314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":651313,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmitt, Axel K.","contributorId":127614,"corporation":false,"usgs":false,"family":"Schmitt","given":"Axel","email":"","middleInitial":"K.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":651315,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70177064,"text":"70177064 - 2016 - Recovery of sockeye salmon in the Elwha River, Washington, after dam removal: Dependence of smolt production on the resumption of anadromy by landlocked kokanee","interactions":[],"lastModifiedDate":"2016-10-19T11:15:59","indexId":"70177064","displayToPublicDate":"2016-10-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Recovery of sockeye salmon in the Elwha River, Washington, after dam removal: Dependence of smolt production on the resumption of anadromy by landlocked kokanee","docAbstract":"

Pacific salmon Oncorhynchus spp. are adept at colonizing habitat that has been reopened to anadromous passage. Sockeye Salmon O. nerka are unique in that most populations require lakes to fulfill their life history. Thus, for Sockeye Salmon to colonize a system, projects like dam removals must provide access to lakes. However, if the lakes contain landlocked kokanee (lacustrine Sockeye Salmon), the recovery of Sockeye Salmon could be mediated by interactions between the two life history forms and the processes associated with the resumption of anadromy. Our objective was to evaluate the extent to which estimates of Sockeye Salmon smolt production and recovery are sensitive to the resumption of anadromy by kokanee after dam removal. We informed the analysis based on the abiotic and biotic features of Lake Sutherland, which was recently opened to passage after dam removal on the Elwha River, Washington. We first developed maximum expectations for the smolt-producing capacity of Lake Sutherland by using two predictive models developed from Sockeye Salmon populations in Alaska and British Columbia: one model was based on the mean seasonal biomass of macrozooplankton, and the other was based on the euphotic zone volume of the lake. We then constructed a bioenergetics-based simulation model to evaluate how the capacity of Lake Sutherland to rear yearling smolts could change with varying degrees of anadromy among O. nerka fry. We demonstrated that (1) the smolt-producing capacity of a nursery lake for juvenile Sockeye Salmon changes in nonlinear ways with changes in smolt growth, mortality, and the extent to which kokanee resume anadromy after dam removal; (2) kokanee populations may be robust to changes in abundance after dam removal, particularly if lakes are located higher in the watershed on tributaries separate from where dams were removed; and (3) the productivity of newly establishing Sockeye Salmon can vary considerably depending on whether the population becomes rearing limited or is recruitment limited and depending on how adult escapement is managed.

","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2016.1223752","usgsCitation":"Hansen, A., Gardner, J.R., Beauchamp, D.A., Paradis, R., and Quinn, T.P., 2016, Recovery of sockeye salmon in the Elwha River, Washington, after dam removal: Dependence of smolt production on the resumption of anadromy by landlocked kokanee: Transactions of the American Fisheries Society, v. 145, no. 6, p. 1303-1317, https://doi.org/10.1080/00028487.2016.1223752.","productDescription":"15 p.","startPage":"1303","endPage":"1317","ipdsId":"IP-072935","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":462059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2016.1223752","text":"Publisher Index Page"},{"id":329734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River, Lake Sutherland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.72493743896483,\n 48.07268823432358\n ],\n [\n -123.72493743896483,\n 48.08392779751268\n ],\n [\n -123.68605613708495,\n 48.08392779751268\n ],\n [\n -123.68605613708495,\n 48.07268823432358\n ],\n [\n -123.72493743896483,\n 48.07268823432358\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"58088687e4b0f497e78e24c1","contributors":{"authors":[{"text":"Hansen, Adam G.","contributorId":103947,"corporation":false,"usgs":true,"family":"Hansen","given":"Adam G.","affiliations":[],"preferred":false,"id":651337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Jennifer R.","contributorId":175505,"corporation":false,"usgs":false,"family":"Gardner","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":651338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":651194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paradis, Rebecca","contributorId":145488,"corporation":false,"usgs":false,"family":"Paradis","given":"Rebecca","affiliations":[{"id":13135,"text":"Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":651339,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":651340,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188604,"text":"70188604 - 2016 - Developments in new fluid rotational seismometers: Instrument performance and future directions","interactions":[],"lastModifiedDate":"2017-06-23T16:16:24","indexId":"70188604","displayToPublicDate":"2016-10-18T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Developments in new fluid rotational seismometers: Instrument performance and future directions","docAbstract":"In this article we describe prototype designs and tests for low-cost rota- tional medium- and strong-motion seismometers using three types of proof mass (two liquid and one solid) and a number of transducer configurations. This article describes the third set of designs and tests in our development program. The details of our results for most of these are in the E electronic supplement to this article, whereas here we concentrate on three of the most promising and representative design combinations.\nMost of our results pertain to sensors with water or silicon oil as the proof mass, though we also tested a torsion-bar design with a solid proof mass. We find that most mass–transducer combinations lead to output proportional to rotational acceleration, with varying degrees of fidelity. Most combinations we tested can be dismissed from further development for reasons of performance or inconvenience during analysis of acceleration response (compare with E electronic supplement). In this article, we describe three of the more promising combinations, one each for the three types of response functions we measured. Of these three, one mass–transducer combination in particular (a hinged sensing element and capacitive transduction) has output voltage closely proportional to rotational displacement (angle) over a wide frequency range; such displacement proportionality obviates two of the integration steps normally re- quired to solve for continuum single-point motions or correct for tilt-induced errors in horizontal translational sensors. Thus, although we illustrate two other designs of some promise, we propose a new design that follows this displacement-proportional path while increasing the device’s sensitivity to on-axis rotations, improving its manu- facturing ease and lowering its sensitivity to translational motions.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150265","usgsCitation":"Evans, J.R., Kozak, J.T., and Jedlicka, P., 2016, Developments in new fluid rotational seismometers: Instrument performance and future directions: Bulletin of the Seismological Society of America, v. 106, no. 6, p. 2865-2878, https://doi.org/10.1785/0120150265.","productDescription":"12 p. ","startPage":"2865","endPage":"2878","ipdsId":"IP-068731","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-18","publicationStatus":"PW","scienceBaseUri":"5944ee17e4b062508e33360f","contributors":{"authors":[{"text":"Evans, John R. jrevans@usgs.gov","contributorId":529,"corporation":false,"usgs":true,"family":"Evans","given":"John","email":"jrevans@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":698552,"contributorType":{"id":1,"text":"Authors"},"rank":0},{"text":"Kozak, Jan T.","contributorId":193040,"corporation":false,"usgs":false,"family":"Kozak","given":"Jan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":698553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jedlicka, Petr","contributorId":193041,"corporation":false,"usgs":false,"family":"Jedlicka","given":"Petr","email":"","affiliations":[],"preferred":false,"id":698554,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70177061,"text":"70177061 - 2016 - Biomarkers reveal sea turtles remained in oiled areas following the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2016-10-18T10:37:08","indexId":"70177061","displayToPublicDate":"2016-10-18T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Biomarkers reveal sea turtles remained in oiled areas following the Deepwater Horizon oil spill","docAbstract":"

Assessments of large-scale disasters, such as the Deepwater Horizon oil spill, are problematic because while measurements of post-disturbance conditions are common, measurements of pre-disturbance baselines are only rarely available. Without adequate observations of pre-disaster organismal and environmental conditions, it is impossible to assess the impact of such catastrophes on animal populations and ecological communities. Here, we use long-term biological tissue records to provide pre-disaster data for a vulnerable marine organism. Keratin samples from the carapace of loggerhead sea turtles record the foraging history for up to 18 years, allowing us to evaluate the effect of the oil spill on sea turtle foraging patterns. Samples were collected from 76 satellite-tracked adult loggerheads in 2011 and 2012, approximately one to two years after the spill. Of the 10 individuals that foraged in areas exposed to surface oil, none demonstrated significant changes in foraging patterns post spill. The observed long-term fidelity to foraging sites indicates that loggerheads in the northern Gulf of Mexico likely remained in established foraging sites, regardless of the introduction of oil and chemical dispersants. More research is needed to address potential long-term health consequences to turtles in this region. Mobile marine organisms present challenges for researchers to monitor effects of environmental disasters, both spatially and temporally. We demonstrate that biological tissues can reveal long-term histories of animal behavior and provide critical pre-disaster baselines following an anthropogenic disturbance or natural disaster.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1366","usgsCitation":"Vander Zanden, H.B., Bolten, A.B., Tucker, A.D., Hart, K.M., Lamont, M.M., Fujisaki, I., Reich, K.J., Addison, D.S., Mansfield, K.L., Phillips, K.F., Pajuelo, M., and Bjorndal, K.A., 2016, Biomarkers reveal sea turtles remained in oiled areas following the Deepwater Horizon oil spill: Ecological Applications, v. 26, no. 7, p. 2145-2155, https://doi.org/10.1002/eap.1366.","productDescription":"11 p.","startPage":"2145","endPage":"2155","ipdsId":"IP-067050","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":501616,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://stars.library.ucf.edu/scopus2015/2884","text":"External Repository"},{"id":329660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-23","publicationStatus":"PW","scienceBaseUri":"5807351be4b0841e59e288a5","contributors":{"authors":[{"text":"Vander Zanden, Hannah B.","contributorId":138885,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"Hannah","email":"","middleInitial":"B.","affiliations":[{"id":12562,"text":"Department of Geology and Geophysics, University of Utah; Archie Carr Center for Sea Turtle Research, University of Florida","active":true,"usgs":false}],"preferred":false,"id":651175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolten, Alan B.","contributorId":20247,"corporation":false,"usgs":false,"family":"Bolten","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":651176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Anton D.","contributorId":79232,"corporation":false,"usgs":false,"family":"Tucker","given":"Anton","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":651177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":651178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":651179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":651180,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reich, Kimberly J.","contributorId":175452,"corporation":false,"usgs":false,"family":"Reich","given":"Kimberly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":651181,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Addison, David S.","contributorId":138886,"corporation":false,"usgs":false,"family":"Addison","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":12563,"text":"Conservancy of Southwest Florida","active":true,"usgs":false}],"preferred":false,"id":651182,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mansfield, Katherine L.","contributorId":138887,"corporation":false,"usgs":false,"family":"Mansfield","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":12564,"text":"Department of Biology, University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":651183,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Phillips, Katrina F.","contributorId":138888,"corporation":false,"usgs":false,"family":"Phillips","given":"Katrina","email":"","middleInitial":"F.","affiliations":[{"id":12565,"text":"Rosenstiel School of Atomospheric Science, University of Miami","active":true,"usgs":false}],"preferred":false,"id":651184,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pajuelo, Mariela","contributorId":138890,"corporation":false,"usgs":false,"family":"Pajuelo","given":"Mariela","email":"","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":651185,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bjorndal, Karen A.","contributorId":96997,"corporation":false,"usgs":false,"family":"Bjorndal","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":651186,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70181005,"text":"70181005 - 2016 - Spatial variation in nutrient and water color effects on lake chlorophyll at macroscales","interactions":[],"lastModifiedDate":"2017-02-11T18:48:16","indexId":"70181005","displayToPublicDate":"2016-10-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variation in nutrient and water color effects on lake chlorophyll at macroscales","docAbstract":"

The nutrient-water color paradigm is a framework to characterize lake trophic status by relating lake primary productivity to both nutrients and water color, the colored component of dissolved organic carbon. Total phosphorus (TP), a limiting nutrient, and water color, a strong light attenuator, influence lake chlorophyll a concentrations (CHL). But, these relationships have been shown in previous studies to be highly variable, which may be related to differences in lake and catchment geomorphology, the forms of nutrients and carbon entering the system, and lake community composition. Because many of these factors vary across space it is likely that lake nutrient and water color relationships with CHL exhibit spatial autocorrelation, such that lakes near one another have similar relationships compared to lakes further away. Including this spatial dependency in models may improve CHL predictions and clarify how well the nutrient-water color paradigm applies to lakes distributed across diverse landscape settings. However, few studies have explicitly examined spatial heterogeneity in the effects of TP and water color together on lake CHL. In this study, we examined spatial variation in TP and water color relationships with CHL in over 800 north temperate lakes using spatially-varying coefficient models (SVC), a robust statistical method that applies a Bayesian framework to explore space-varying and scale-dependent relationships. We found that TP and water color relationships were spatially autocorrelated and that allowing for these relationships to vary by individual lakes over space improved the model fit and predictive performance as compared to models that did not vary over space. The magnitudes of TP effects on CHL differed across lakes such that a 1 μg/L increase in TP resulted in increased CHL ranging from 2–24 μg/L across lake locations. Water color was not related to CHL for the majority of lakes, but there were some locations where water color had a positive effect such that a unit increase in water color resulted in a 2 μg/L increase in CHL and other locations where it had a negative effect such that a unit increase in water color resulted in a 2 μg/L decrease in CHL. In addition, the spatial scales that captured variation in TP and water color effects were different for our study lakes. Variation in TP–CHL relationships was observed at intermediate distances (~20 km) compared to variation in water color–CHL relationships that was observed at regional distances (~200 km). These results demonstrate that there are lake-to-lake differences in the effects of TP and water color on lake CHL and that this variation is spatially structured. Quantifying spatial structure in these relationships furthers our understanding of the variability in these relationships at macroscales and would improve model prediction of chlorophyll a to better meet lake management goals.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0164592","usgsCitation":"Fergus, C.E., Finley, A.O., Soranno, P.A., and Wagner, T., 2016, Spatial variation in nutrient and water color effects on lake chlorophyll at macroscales: PLoS ONE, e0164592; 20 p., https://doi.org/10.1371/journal.pone.0164592.","productDescription":"e0164592; 20 p.","ipdsId":"IP-072158","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0164592","text":"Publisher Index Page"},{"id":335187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, Michigan, New York, Wisconsin","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-13","publicationStatus":"PW","scienceBaseUri":"589fff1ae4b099f50d3e044d","contributors":{"authors":[{"text":"Fergus, C. Emi","contributorId":150608,"corporation":false,"usgs":false,"family":"Fergus","given":"C.","email":"","middleInitial":"Emi","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":663408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finley, Andrew O.","contributorId":39310,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":663409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":663410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":663163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176864,"text":"70176864 - 2016 - Triennial changes in groundwater quality in aquifers used for public supply in California: Utility as indicators of temporal trends","interactions":[],"lastModifiedDate":"2016-10-11T14:53:42","indexId":"70176864","displayToPublicDate":"2016-10-11T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Triennial changes in groundwater quality in aquifers used for public supply in California: Utility as indicators of temporal trends","docAbstract":"

From 2004 to 2011, the U.S. Geological Survey collected samples from 1686 wells across the State of California as part of the California State Water Resources Control Board’s Groundwater Ambient Monitoring and Assessment (GAMA) Priority Basin Project (PBP). From 2007 to 2013, 224 of these wells were resampled to assess temporal trends in water quality. The samples were analyzed for 216 water-quality constituents, including inorganic and organic compounds as well as isotopic tracers. The resampled wells were grouped into five hydrogeologic zones. A nonparametric hypothesis test was used to test the differences between initial sampling and resampling results to evaluate possible step trends in water-quality, statewide, and within each hydrogeologic zone. The hypothesis tests were performed on the 79 constituents that were detected in more than 5 % of the samples collected during either sampling period in at least one hydrogeologic zone. Step trends were detected for 17 constituents. Increasing trends were detected for alkalinity, aluminum, beryllium, boron, lithium, orthophosphate, perchlorate, sodium, and specific conductance. Decreasing trends were detected for atrazine, cobalt, dissolved oxygen, lead, nickel, pH, simazine, and tritium. Tritium was expected to decrease due to decreasing values in precipitation, and the detection of decreases indicates that the method is capable of resolving temporal trends.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-016-5618-3","usgsCitation":"Kent, R.H., and Landon, M.K., 2016, Triennial changes in groundwater quality in aquifers used for public supply in California: Utility as indicators of temporal trends: Environmental Monitoring and Assessment, v. 188, Article 610; 17 p., https://doi.org/10.1007/s10661-016-5618-3.","productDescription":"Article 610; 17 p.","ipdsId":"IP-059885","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"188","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-08","publicationStatus":"PW","scienceBaseUri":"57fe679ae4b0824b2d1436f3","contributors":{"authors":[{"text":"Kent, Robert H. 0000-0003-4174-9467 rhkent@usgs.gov","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":175257,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","email":"rhkent@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650561,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182822,"text":"70182822 - 2016 - Far-field pressurization likely caused one of the largest injection induced earthquakes by reactivating a large pre-existing basement fault structure","interactions":[],"lastModifiedDate":"2017-03-01T11:19:44","indexId":"70182822","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Far-field pressurization likely caused one of the largest injection induced earthquakes by reactivating a large pre-existing basement fault structure","docAbstract":"

The Mw 5.1 Fairview, Oklahoma, earthquake on 13 February 2016 and its associated seismicity produced the largest moment release in the central and eastern United States since the 2011 Mw 5.7 Prague, Oklahoma, earthquake sequence and is one of the largest earthquakes potentially linked to wastewater injection. This energetic sequence has produced five earthquakes with Mw 4.4 or larger. Almost all of these earthquakes occur in Precambrian basement on a partially unmapped 14 km long fault. Regional injection into the Arbuckle Group increased approximately sevenfold in the 36 months prior to the start of the sequence (January 2015). We suggest far-field pressurization from clustered, high-rate wells greater than 12 km from this sequence induced these earthquakes. As compared to the Fairview sequence, seismicity is diffuse near high-rate wells, where pressure changes are expected to be largest. This points to the critical role that preexisting faults play in the occurrence of large induced earthquakes.

","language":"English","publisher":"Wiley","doi":"10.1002/2016GL070861","usgsCitation":"Yeck, W.L., Weingarten, M., Benz, H.M., McNamara, D.E., Bergman, E., Herrmann, R., Rubinstein, J.L., and Earle, P.S., 2016, Far-field pressurization likely caused one of the largest injection induced earthquakes by reactivating a large pre-existing basement fault structure: Geophysical Research Letters, v. 43, no. 19, p. 10,198-10,207, https://doi.org/10.1002/2016GL070861.","productDescription":"10 p. ","startPage":"10,198","endPage":"10,207","ipdsId":"IP-079896","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":336735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"19","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baf9","contributors":{"authors":[{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weingarten, Matthew","contributorId":138656,"corporation":false,"usgs":false,"family":"Weingarten","given":"Matthew","email":"","affiliations":[{"id":12481,"text":"Department of Geological Sciences, University of Colorado, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":673898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergman, E.","contributorId":184179,"corporation":false,"usgs":false,"family":"Bergman","given":"E.","email":"","affiliations":[],"preferred":false,"id":673901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herrmann, R.B","contributorId":184256,"corporation":false,"usgs":false,"family":"Herrmann","given":"R.B","email":"","affiliations":[],"preferred":false,"id":673902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":673903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673904,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70176844,"text":"70176844 - 2016 - Climate change is advancing spring onset across the U.S. national park system","interactions":[],"lastModifiedDate":"2016-10-13T15:40:08","indexId":"70176844","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Climate change is advancing spring onset across the U.S. national park system","docAbstract":"

Many U.S. national parks are already at the extreme warm end of their historical temperature distributions. With rapidly warming conditions, park resource management will be enhanced by information on seasonality of climate that supports adjustments in the timing of activities such as treating invasive species, operating visitor facilities, and scheduling climate-related events (e.g., flower festivals and fall leaf-viewing). Seasonal changes in vegetation, such as pollen, seed, and fruit production, are important drivers of ecological processes in parks, and phenology has thus been identified as a key indicator for park monitoring. Phenology is also one of the most proximate biological responses to climate change. Here, we use estimates of start of spring based on climatically modeled dates of first leaf and first bloom derived from indicator plant species to evaluate the recent timing of spring onset (past 10–30 yr) in each U.S. natural resource park relative to its historical range of variability across the past 112 yr (1901–2012). Of the 276 high latitude to subtropical parks examined, spring is advancing in approximately three-quarters of parks (76%), and 53% of parks are experiencing “extreme” early springs that exceed 95% of historical conditions. Our results demonstrate how changes in climate seasonality are important for understanding ecological responses to climate change, and further how spatial variability in effects of climate change necessitates different approaches to management. We discuss how our results inform climate change adaptation challenges and opportunities facing parks, with implications for other protected areas, by exploring consequences for resource management and planning.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1465","usgsCitation":"Monahan, W.B., Rosemartin, A., Gerst, K.L., Fisichelli, N.A., Ault, T.R., Schwartz, M.D., Gross, J.E., and Weltzin, J., 2016, Climate change is advancing spring onset across the U.S. national park system: Ecosphere, v. 7, no. 10, p. 1-17, https://doi.org/10.1002/ecs2.1465.","productDescription":"e01465; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-072799","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":470511,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1465","text":"Publisher Index Page"},{"id":329420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"57fe679be4b0824b2d1436ff","contributors":{"authors":[{"text":"Monahan, William B.","contributorId":175225,"corporation":false,"usgs":false,"family":"Monahan","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":27542,"text":"NPS I&M","active":true,"usgs":false}],"preferred":false,"id":650493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosemartin, Alyssa","contributorId":175226,"corporation":false,"usgs":false,"family":"Rosemartin","given":"Alyssa","affiliations":[],"preferred":false,"id":650494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerst, Katharine L.","contributorId":175227,"corporation":false,"usgs":false,"family":"Gerst","given":"Katharine","email":"","middleInitial":"L.","affiliations":[{"id":27543,"text":"National Phenology Network, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":650495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisichelli, Nicholas A.","contributorId":174508,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":27461,"text":"NPS, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":650496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ault, Toby R.","contributorId":146164,"corporation":false,"usgs":false,"family":"Ault","given":"Toby","email":"","middleInitial":"R.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":650498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwartz, Mark D.","contributorId":175228,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":false,"id":650499,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gross, John E.","contributorId":106777,"corporation":false,"usgs":false,"family":"Gross","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":650497,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":296,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":650492,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70176813,"text":"70176813 - 2016 - Household evacuation characteristics in American Samoa during the 2009 Samoa Islands tsunami","interactions":[],"lastModifiedDate":"2016-10-11T15:25:39","indexId":"70176813","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5212,"text":"Disasters","active":true,"publicationSubtype":{"id":10}},"title":"Household evacuation characteristics in American Samoa during the 2009 Samoa Islands tsunami","docAbstract":"

Tsunamis represent significant threats to human life and development in coastal communities. This quantitative study examines the influence of household characteristics on evacuation actions taken by 211 respondents in American Samoa who were at their homes during the 29 September 2009 Mw 8.1 Samoa Islands earthquake and tsunami disaster. Multiple logistic regression analysis of survey data was used to examine the association between evacuation and various household factors. Findings show that increases in distance to shoreline were associated with a slightly decreased likelihood of evacuation, whereas households reporting higher income had an increased probability of evacuation. The response in American Samoa was an effective one, with only 34 fatalities in a tsunami that reached shore in as little as 15 minutes. Consequently, future research should implement more qualitative study designs to identify event and cultural specific determinants of household evacuation behaviour to local tsunamis.

","language":"English","publisher":"Wiley","doi":"10.1111/disa.12170","usgsCitation":"Apatu, E.J., Gregg, C.E., Wood, N.J., and Wang, L., 2016, Household evacuation characteristics in American Samoa during the 2009 Samoa Islands tsunami: Disasters, v. 40, no. 4, p. 779-798, https://doi.org/10.1111/disa.12170.","productDescription":"10 p.","startPage":"779","endPage":"798","ipdsId":"IP-052408","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":329464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-05","publicationStatus":"PW","scienceBaseUri":"57fe679ce4b0824b2d143707","contributors":{"authors":[{"text":"Apatu, Emma J. I.","contributorId":175197,"corporation":false,"usgs":false,"family":"Apatu","given":"Emma","email":"","middleInitial":"J. I.","affiliations":[{"id":24762,"text":"University of North Florida","active":true,"usgs":false}],"preferred":false,"id":650398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregg, Chris E.","contributorId":175198,"corporation":false,"usgs":false,"family":"Gregg","given":"Chris","email":"","middleInitial":"E.","affiliations":[{"id":27535,"text":"East Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":650399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":650397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Liang","contributorId":175199,"corporation":false,"usgs":false,"family":"Wang","given":"Liang","email":"","affiliations":[{"id":27535,"text":"East Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":650400,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200017,"text":"70200017 - 2016 - Helminth community structure in two species of arctic-breeding waterfowl","interactions":[],"lastModifiedDate":"2018-10-10T15:27:00","indexId":"70200017","displayToPublicDate":"2016-10-05T15:14:01","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Helminth community structure in two species of arctic-breeding waterfowl","docAbstract":"

Climate change is occurring rapidly at high latitudes, and subsequent changes in parasite communities may have implications for hosts including wildlife and humans. Waterfowl, in particular, harbor numerous parasites and may facilitate parasite movement across broad geographic areas due to migratory movements. However, little is known about helminth community structure of waterfowl at northern latitudes. We investigated the helminth communities of two avian herbivores that breed at high latitudes, Pacific black brant (Branta bernicla nigricans), and greater white-fronted geese (Anser albifrons), to examine effects of species, geographic area, age, and sex on helminth species richness, aggregation, prevalence, and intensity. We collected 83 and 58 black brant and white-fronted geese, respectively, from Arctic and Subarctic Alaska July-August 2014. We identified 10 known helminth species (Amidostomum anseris, Amidostomum spatulatum, Drepanidotaenia lanceolata, Epomidiostomum crami, Heterakis dispar, Notocotylus attenuatus, Tetrameres striata, Trichostrongylus tenuis, Tschertkovilepis setigera, and Wardoides nyrocae) and 1 previously undescribed trematode. All geese sampled were infected with at least one helminth species. All helminth species identified were present in both age classes and species, providing evidence of transmission at high latitudes and suggesting broad host susceptibility. Also, all but one helminth species were present at both sites, suggesting conditions are suitable for transmission across a large latitudinal/environmental gradient. Our study provides important baseline information on avian parasites that can be used to evaluate the effects of a changing climate on host-parasite distributions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2016.09.002","usgsCitation":"Amundson, C.L., Traub, N., Smith-Herron, A., and Flint, P.L., 2016, Helminth community structure in two species of arctic-breeding waterfowl: International Journal for Parasitology: Parasites and Wildlife, v. 5, no. 3, p. 263-272, https://doi.org/10.1016/j.ijppaw.2016.09.002.","productDescription":"10 p.","startPage":"263","endPage":"272","ipdsId":"IP-074824","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":462065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2016.09.002","text":"Publisher Index Page"},{"id":358253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"5","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03282e4b0fc368eb53a62","contributors":{"authors":[{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":747820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traub, N.J.","contributorId":208600,"corporation":false,"usgs":false,"family":"Traub","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":747821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith-Herron, A.J.","contributorId":208601,"corporation":false,"usgs":false,"family":"Smith-Herron","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":747822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":747823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188067,"text":"70188067 - 2016 - Forecasting climate change impacts on plant populations over large spatial extents","interactions":[],"lastModifiedDate":"2018-03-08T12:59:33","indexId":"70188067","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting climate change impacts on plant populations over large spatial extents","docAbstract":"

Plant population models are powerful tools for predicting climate change impacts in one location, but are difficult to apply at landscape scales. We overcome this limitation by taking advantage of two recent advances: remotely sensed, species-specific estimates of plant cover and statistical models developed for spatiotemporal dynamics of animal populations. Using computationally efficient model reparameterizations, we fit a spatiotemporal population model to a 28-year time series of sagebrush (Artemisia spp.) percent cover over a 2.5 × 5 km landscape in southwestern Wyoming while formally accounting for spatial autocorrelation. We include interannual variation in precipitation and temperature as covariates in the model to investigate how climate affects the cover of sagebrush. We then use the model to forecast the future abundance of sagebrush at the landscape scale under projected climate change, generating spatially explicit estimates of sagebrush population trajectories that have, until now, been impossible to produce at this scale. Our broadscale and long-term predictions are rooted in small-scale and short-term population dynamics and provide an alternative to predictions offered by species distribution models that do not include population dynamics. Our approach, which combines several existing techniques in a novel way, demonstrates the use of remote sensing data to model population responses to environmental change that play out at spatial scales far greater than the traditional field study plot.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1525","usgsCitation":"Tredennick, A.T., Hooten, M., Aldridge, C.L., Homer, C.G., Kleinhesselink, A.R., and Adler, P.B., 2016, Forecasting climate change impacts on plant populations over large spatial extents: Ecosphere, v. 7, no. 10, e01525; 16 p., https://doi.org/10.1002/ecs2.1525.","productDescription":"e01525; 16 p.","ipdsId":"IP-071731","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470538,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1525","text":"Publisher Index Page"},{"id":341852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"7","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-24","publicationStatus":"PW","scienceBaseUri":"592e84b9e4b092b266f10d30","contributors":{"authors":[{"text":"Tredennick, Andrew T.","contributorId":152688,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":696411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":696382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":696412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kleinhesselink, Andrew R.","contributorId":192387,"corporation":false,"usgs":false,"family":"Kleinhesselink","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":696414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":696415,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191893,"text":"70191893 - 2016 - How well are you teaching one of the most important biological concepts for humankind? A call to action","interactions":[],"lastModifiedDate":"2017-10-26T14:18:01","indexId":"70191893","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5534,"text":"The American Biology Teacher","active":true,"publicationSubtype":{"id":10}},"title":"How well are you teaching one of the most important biological concepts for humankind? A call to action","docAbstract":"

We represent several generations of biology educators – with teaching experiences beginning in the 1940s and continuing to the present, from elementary school to graduate-level programs. We find the vast array of subjects that biology teachers can now cover both thrilling and mind-boggling. Depending on the grade level, units exist that focus on neurobiology, forensics, DNA analysis, biotechnology, marine biology, and a host of other topics.

Although science teachers cover a potpourri of advanced topics, we must ask ourselves – no matter our biology-teaching responsibilities – how well we are teaching carrying capacity, one of the most fundamental biological concepts for our society, knowledge of which becomes more important every day. As biology teachers, most of you know that carrying capacity is defined as the maximum population an environment can sustain, given the amounts of food, habitat, and other resources available. Every environment – from your goldfish bowl to the local forest to planet Earth – can only sustain a set number (weight) of a particular species, based on available resources and space. Currently, most science classes teach …

","language":"English","publisher":"National Association of Biology Teachers","doi":"10.1525/abt.2016.78.8.623","usgsCitation":"Bonar, S.A., Fife, D.A., and Bonar, J.S., 2016, How well are you teaching one of the most important biological concepts for humankind? A call to action: The American Biology Teacher, v. 78, no. 8, p. 623-623, https://doi.org/10.1525/abt.2016.78.8.623.","productDescription":"1 p.","startPage":"623","endPage":"623","ipdsId":"IP-066233","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e9c5e4b09af898c8cc4f","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fife, Deanna A.","contributorId":198571,"corporation":false,"usgs":false,"family":"Fife","given":"Deanna","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonar, John S.","contributorId":198572,"corporation":false,"usgs":false,"family":"Bonar","given":"John","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716427,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192667,"text":"70192667 - 2016 - Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use","interactions":[],"lastModifiedDate":"2017-11-08T15:24:54","indexId":"70192667","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use","docAbstract":"

Worldwide, domestic dogs (Canis familiaris) are one of the most common carnivoran species in natural areas and their populations are still increasing. Dogs have been shown to impact wildlife populations negatively, and their occurrence can alter the abundance, behavior, and activity patterns of native species. However, little is known about abundance and density of the free-ranging dogs that use protected areas. Here, we used camera trap data with an open-robust design mark–recapture model to estimate the number of dogs that used protected areas in Brazilian Atlantic Forest. We estimated the time period these dogs used the protected areas, and explored factors that influenced the probability of continued use (e.g., season, mammal richness, proportion of forest), while accounting for variation in detection probability. Dogs in the studied system were categorized as rural free-ranging, and their abundance varied widely across protected areas (0–73 individuals). Dogs used protected areas near human houses for longer periods (e.g., >50% of sampling occasions) compared to more distant areas. We found no evidence that their probability of continued use varied with season or mammal richness. Dog detection probability decreased linearly among occasions, possibly due to the owners confining their dogs after becoming aware of our presence. Comparing our estimates to those for native carnivoran, we found that dogs were three to 85 times more abundant than ocelots (Leopardus pardalis), two to 25 times more abundant than puma (Puma concolor), and approximately five times more abundant than the crab-eating fox (Cerdocyon thous). Combining camera trapping data with modern mark–recapture methods provides important demographic information on free-ranging dogs that can guide management strategies to directly control dogs' abundance and ranging behavior.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1480","usgsCitation":"Paschoal, A.M., Massara, R., Bailey, L.L., Kendall, W., Doherty, P.F., Hirsch, A., Chiarello, A., and Paglia, A., 2016, Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use: Ecosphere, v. 7, no. 10, p. 1-15, https://doi.org/10.1002/ecs2.1480.","productDescription":"e01480; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-071412","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1480","text":"Publisher Index Page"},{"id":348493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -43,\n -21\n ],\n [\n -41,\n -21\n ],\n [\n -41,\n -19\n ],\n [\n -43,\n -19\n ],\n [\n -43,\n -21\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"5a0425bfe4b0dc0b45b453ed","contributors":{"authors":[{"text":"Paschoal, Ana Maria","contributorId":198658,"corporation":false,"usgs":false,"family":"Paschoal","given":"Ana","email":"","middleInitial":"Maria","affiliations":[],"preferred":false,"id":716680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massara, Rodrigo","contributorId":198659,"corporation":false,"usgs":false,"family":"Massara","given":"Rodrigo","email":"","affiliations":[],"preferred":false,"id":716681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Larissa L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":189578,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doherty, Paul F. Jr.","contributorId":37636,"corporation":false,"usgs":false,"family":"Doherty","given":"Paul","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":716683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hirsch, Andre","contributorId":198661,"corporation":false,"usgs":false,"family":"Hirsch","given":"Andre","email":"","affiliations":[],"preferred":false,"id":716684,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chiarello, Adriano","contributorId":198662,"corporation":false,"usgs":false,"family":"Chiarello","given":"Adriano","email":"","affiliations":[],"preferred":false,"id":716685,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paglia, Adriano","contributorId":198663,"corporation":false,"usgs":false,"family":"Paglia","given":"Adriano","email":"","affiliations":[],"preferred":false,"id":716686,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193672,"text":"70193672 - 2016 - Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin","interactions":[],"lastModifiedDate":"2017-11-13T14:10:32","indexId":"70193672","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin","docAbstract":"

Implementing harvest regulations to eliminate or substantially reduce (≥90%) the exploitation of Walleyes Sander vitreus in recreational fisheries may increase population size structure, but these measures also could reduce angler effort because many Walleye anglers are harvest oriented. We analyzed data collected during 1995–2015 to determine whether Walleye population and fishery metrics in Escanaba Lake, Wisconsin, changed after a minimum TL limit of 71 cm with a one-fish daily bag limit was implemented in 2003. This change eliminated the legal harvest of Walleyes after several decades during which annual exploitation averaged 34%. We detected a significant increase in the loge density of adult females after the regulation change, but the loge density of all adults and adult males did not differ between periods. Mean TL of adult males was significantly greater after the regulation change, but the mean TL of females and the proportional size distribution of preferred-length fish (≥51 cm TL) were similar between periods. Sex-specific mean TLs at age 5 did not differ between periods. Loge density of age-0 Walleyes did not change after 2003, but variation in age-0 density was lower. Total angler effort and the effort for anglers targeting Walleyes were significantly lower (35% and 60% declines, respectively) after the regulation change, whereas catch rates for both angler categories did not differ between periods. Our results suggest that implementing highly restrictive regulations that greatly reduce or eliminate legal harvest will not always increase angler catch rates and population size structure. Highly restrictive regulations may also deter anglers from using a fishery when many other fisheries are available. Our findings are useful for fishery managers who may work with anglers holding the belief that lower exploitation is a potential remedy for low Walleye size structure, even when density and growth suggest that there is limited potential for improvement.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1221002","usgsCitation":"Haglund, J.M., Isermann, D.A., and Sass, G., 2016, Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin: North American Journal of Fisheries Management, v. 36, no. 6, p. 1315-1324, https://doi.org/10.1080/02755947.2016.1221002.","productDescription":"10 p.","startPage":"1315","endPage":"1324","ipdsId":"IP-068947","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Escanaba Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.59681034088135,\n 46.05598993228595\n ],\n [\n -89.57535266876219,\n 46.05598993228595\n ],\n [\n -89.57535266876219,\n 46.07165268566281\n ],\n [\n -89.59681034088135,\n 46.07165268566281\n ],\n [\n -89.59681034088135,\n 46.05598993228595\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c24163","contributors":{"authors":[{"text":"Haglund, Justin M.","contributorId":200302,"corporation":false,"usgs":false,"family":"Haglund","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Greg G.","contributorId":31281,"corporation":false,"usgs":true,"family":"Sass","given":"Greg G.","affiliations":[],"preferred":false,"id":721840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178391,"text":"70178391 - 2016 - Negative impacts of invasive plants on conservation of sensitive desert wildlife","interactions":[],"lastModifiedDate":"2016-11-16T09:52:46","indexId":"70178391","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Negative impacts of invasive plants on conservation of sensitive desert wildlife","docAbstract":"

Habitat disturbance from development, resource extraction, off-road vehicle use, and energy development ranks highly among threats to desert systems worldwide. In the Mojave Desert, United States, these disturbances have promoted the establishment of nonnative plants, so that native grasses and forbs are now intermixed with, or have been replaced by invasive, nonnative Mediterranean grasses. This shift in plant composition has altered food availability for Mojave Desert tortoises (Gopherus agassizii), a federally listed species. We hypothesized that this change in forage would negatively influence the physiological ecology, immune competence, and health of neonatal and yearling tortoises. To test this, we monitored the effects of diet on growth, body condition, immunological responses (measured by gene transcription), and survival for 100 captive Mojave tortoises. Tortoises were assigned to one of five diets: native forbs, native grass, invasive grass, and native forbs combined with either the native or invasive grass. Tortoises eating native forbs had better body condition and immune functions, grew more, and had higher survival rates (>95%) than tortoises consuming any other diet. At the end of the experiment, 32% of individuals fed only native grass and 37% fed only invasive grass were found dead or removed from the experiment due to poor body conditions. In contrast, all tortoises fed either the native forb or combined native forb and native grass diets survived and were in good condition. Health and body condition quickly declined for tortoises fed only the native grass (Festuca octoflora) or invasive grass (Bromus rubens) with notable loss of fat and muscle mass and increased muscular atrophy. Bromus rubens seeds were found embedded in the oral mucosa and tongue in most individuals eating that diet, which led to mucosal inflammation. Genes indicative of physiological, immune, and metabolic functions were transcribed at lower levels for individuals fed B. rubens, indicating potential greater susceptibility to disease or other health-related problems. This study highlights the negative indirect effects of invasive grasses, such as red brome, in desert ecosystems, and provides definitive evidence of a larger negative consequence to health, survival, and ultimately population recruitment for Mojave Desert tortoises than previously understood.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1531","usgsCitation":"Drake, K.K., Bowen, L., Nussear, K.E., Esque, T., Berger, A.J., Custer, N., Waters-Dynes, S.C., Johnson, J.D., Miles, A.K., and Lewison, R., 2016, Negative impacts of invasive plants on conservation of sensitive desert wildlife: Ecosphere, v. 7, no. 10, e01531; 20 p., https://doi.org/10.1002/ecs2.1531.","productDescription":"e01531; 20 p.","ipdsId":"IP-072979","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470545,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1531","text":"Publisher Index Page"},{"id":331059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-27","publicationStatus":"PW","scienceBaseUri":"582dd8eae4b04d580bd3fa93","contributors":{"authors":[{"text":"Drake, K. Kristina","contributorId":175153,"corporation":false,"usgs":false,"family":"Drake","given":"K.","email":"","middleInitial":"Kristina","affiliations":[],"preferred":false,"id":653919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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 Center","active":true,"usgs":true}],"preferred":true,"id":653920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":653921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":138964,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":653922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berger, Andrew J.","contributorId":176904,"corporation":false,"usgs":false,"family":"Berger","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":653923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Custer, Nathan ncuster@usgs.gov","contributorId":5561,"corporation":false,"usgs":true,"family":"Custer","given":"Nathan","email":"ncuster@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":653924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":653925,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Jay D.","contributorId":176906,"corporation":false,"usgs":false,"family":"Johnson","given":"Jay","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":653926,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":653927,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lewison, Rebecca L.","contributorId":79812,"corporation":false,"usgs":true,"family":"Lewison","given":"Rebecca L.","affiliations":[],"preferred":false,"id":653928,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70193662,"text":"70193662 - 2016 - Results of the eruptive column model inter-comparison study","interactions":[],"lastModifiedDate":"2017-11-02T15:20:02","indexId":"70193662","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Results of the eruptive column model inter-comparison study","docAbstract":"

This study compares and evaluates one-dimensional (1D) and three-dimensional (3D) numerical models of volcanic eruption columns in a set of different inter-comparison exercises. The exercises were designed as a blind test in which a set of common input parameters was given for two reference eruptions, representing a strong and a weak eruption column under different meteorological conditions. Comparing the results of the different models allows us to evaluate their capabilities and target areas for future improvement. Despite their different formulations, the 1D and 3D models provide reasonably consistent predictions of some of the key global descriptors of the volcanic plumes. Variability in plume height, estimated from the standard deviation of model predictions, is within ~ 20% for the weak plume and ~ 10% for the strong plume. Predictions of neutral buoyancy level are also in reasonably good agreement among the different models, with a standard deviation ranging from 9 to 19% (the latter for the weak plume in a windy atmosphere). Overall, these discrepancies are in the range of observational uncertainty of column height. However, there are important differences amongst models in terms of local properties along the plume axis, particularly for the strong plume. Our analysis suggests that the simplified treatment of entrainment in 1D models is adequate to resolve the general behaviour of the weak plume. However, it is inadequate to capture complex features of the strong plume, such as large vortices, partial column collapse, or gravitational fountaining that strongly enhance entrainment in the lower atmosphere. We conclude that there is a need to more accurately quantify entrainment rates, improve the representation of plume radius, and incorporate the effects of column instability in future versions of 1D volcanic plume models.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.01.017","usgsCitation":"Costa, A., Suzuki, Y., Cerminara, M., Devenish, B.J., Esposti Ongaro, T., Herzog, M., Van Eaton, A.R., Denby, L., Bursik, M., de’ Michieli Vitturi, M., Engwell, S., Neri, A., Barsotti, S., Folch, A., Macedonio, G., Girault, F., Carazzo, G., Tait, S., Kaminski, E., Mastin, L.G., Woodhouse, M.J., Phillips, J.C., Hogg, A.J., Degruyter, W., and Bonadonna, C., 2016, Results of the eruptive column model inter-comparison study: Journal of Volcanology and Geothermal Research, v. 326, p. 2-25, https://doi.org/10.1016/j.jvolgeores.2016.01.017.","productDescription":"24 p.","startPage":"2","endPage":"25","ipdsId":"IP-069305","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470520,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hdl.handle.net/1983/31590258-99a4-4b9c-bdff-db520c226a79","text":"Publisher Index Page"},{"id":348124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"326","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2ea6e4b0531197b27f89","contributors":{"authors":[{"text":"Costa, Antonio","contributorId":194290,"corporation":false,"usgs":false,"family":"Costa","given":"Antonio","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":719805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suzuki, Yujiro","contributorId":194289,"corporation":false,"usgs":false,"family":"Suzuki","given":"Yujiro","email":"","affiliations":[],"preferred":false,"id":719806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cerminara, M.","contributorId":199703,"corporation":false,"usgs":false,"family":"Cerminara","given":"M.","affiliations":[],"preferred":false,"id":719807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Devenish, Ben J.","contributorId":199704,"corporation":false,"usgs":false,"family":"Devenish","given":"Ben","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":719808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esposti Ongaro, T.","contributorId":199705,"corporation":false,"usgs":false,"family":"Esposti Ongaro","given":"T.","affiliations":[],"preferred":false,"id":719809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herzog, Michael","contributorId":194293,"corporation":false,"usgs":false,"family":"Herzog","given":"Michael","email":"","affiliations":[],"preferred":false,"id":719810,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 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Vitturi","given":"Mattia","email":"","affiliations":[],"preferred":false,"id":719814,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Engwell, S.","contributorId":199709,"corporation":false,"usgs":false,"family":"Engwell","given":"S.","affiliations":[],"preferred":false,"id":719815,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Neri, Augusto","contributorId":199710,"corporation":false,"usgs":false,"family":"Neri","given":"Augusto","email":"","affiliations":[],"preferred":false,"id":719816,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Barsotti, Sara","contributorId":199711,"corporation":false,"usgs":false,"family":"Barsotti","given":"Sara","email":"","affiliations":[],"preferred":false,"id":719817,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Folch, Arnau","contributorId":199712,"corporation":false,"usgs":false,"family":"Folch","given":"Arnau","email":"","affiliations":[],"preferred":false,"id":719818,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Macedonio, Giovanni","contributorId":199713,"corporation":false,"usgs":false,"family":"Macedonio","given":"Giovanni","email":"","affiliations":[],"preferred":false,"id":719819,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Girault, F.","contributorId":199714,"corporation":false,"usgs":false,"family":"Girault","given":"F.","email":"","affiliations":[],"preferred":false,"id":719820,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Carazzo, G.","contributorId":199715,"corporation":false,"usgs":false,"family":"Carazzo","given":"G.","affiliations":[],"preferred":false,"id":719821,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tait, S.","contributorId":199716,"corporation":false,"usgs":false,"family":"Tait","given":"S.","email":"","affiliations":[],"preferred":false,"id":719822,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Kaminski, E.","contributorId":199717,"corporation":false,"usgs":false,"family":"Kaminski","given":"E.","email":"","affiliations":[],"preferred":false,"id":719823,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719804,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Woodhouse, Mark J.","contributorId":199718,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":719824,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Phillips, Jeremy C.","contributorId":199719,"corporation":false,"usgs":false,"family":"Phillips","given":"Jeremy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":719825,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Hogg, Andrew J.","contributorId":199720,"corporation":false,"usgs":false,"family":"Hogg","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":719826,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Degruyter, Wim","contributorId":145532,"corporation":false,"usgs":false,"family":"Degruyter","given":"Wim","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":719827,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Bonadonna, Costanza","contributorId":199721,"corporation":false,"usgs":false,"family":"Bonadonna","given":"Costanza","email":"","affiliations":[],"preferred":false,"id":719828,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}} ,{"id":70193041,"text":"70193041 - 2016 - Comparative use of side and main channels by small-bodied fish in a large, unimpounded river","interactions":[],"lastModifiedDate":"2017-11-06T16:39:50","indexId":"70193041","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparative use of side and main channels by small-bodied fish in a large, unimpounded river","docAbstract":"
  1. Ecological theory and field studies suggest that lateral floodplain connectivity and habitat heterogeneity provided by side channels impart favourable habitat conditions for lotic fishes, especially fluvial fishes dependent on large patches of shallow, slow velocity habitats for some portion of their life cycle. However, anthropogenic modification of large, temperate floodplain rivers has led to extensive channel simplification and side-channel loss. Highly modified rivers consist of simplified channels in contracted, less dynamic floodplains.
  2. Most research examining the seasonal importance of side channels for fish assemblages in large rivers has been carried out in heavily modified rivers, where side-channel extents are substantially reduced from pre-settlement times, and has often overlooked small-bodied fishes. Inferences about the ecological importance of side channels for small-bodied fishes in large rivers can be ascertained only from investigations of large rivers with largely intact floodplains. The Yellowstone River, our study area, is a rare example of one such river.
  3. We targeted small-bodied fishes and compared their habitat use in side and main channels in two geomorphically distinct types of river bends during early and late snowmelt runoff, and autumn base flow. Species compositions of side and main channels differed throughout hydroperiods concurrent with the seasonal redistribution of the availability of shallow, slow current-velocity habitats. More species of fish used side channels than main channels during runoff. Additionally, catch rates of small fishes were generally greater in side channels than in main channels and quantitative assemblage compositions differed between channel types during runoff, but not during base flow. Presence of and access to diverse habitats facilitated the development and persistence of diverse fish assemblages in our study area.
  4. Physical dissimilarities between side and main channels may have differentially structured the side- and main-channel fish assemblages during runoff. Patches of shallow, slow current-velocity (SSCV) habitats in side channels were larger and had slightly slower water velocities than SSCV habitat patches in main channels during runoff, but not during base flow.
  5. Our findings establish a baseline importance of side channels to riverine fishes in a large, temperate river without heavy anthropogenic modification. Establishing this baseline contributes to basic fluvial ecology and provides empirical justification for restoration efforts that reconnect large rivers with their floodplains.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12796","usgsCitation":"Reinhold, A.M., Bramblett, R.G., Zale, A.V., Roberts, D.W., and Poole, G., 2016, Comparative use of side and main channels by small-bodied fish in a large, unimpounded river: Freshwater Biology, v. 61, no. 10, p. 1611-1626, https://doi.org/10.1111/fwb.12796.","productDescription":"16 p.","startPage":"1611","endPage":"1626","ipdsId":"IP-064958","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.12796","text":"Publisher Index Page"},{"id":348310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Yellowstone River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0498046875,\n 45.01141864227728\n ],\n [\n -104.0185546875,\n 45.01141864227728\n ],\n [\n -104.0185546875,\n 47.83528342275264\n ],\n [\n -111.0498046875,\n 47.83528342275264\n ],\n [\n -111.0498046875,\n 45.01141864227728\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"5a07e9c5e4b09af898c8cc4b","contributors":{"authors":[{"text":"Reinhold, Ann Marie","contributorId":200043,"corporation":false,"usgs":false,"family":"Reinhold","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":720781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":720782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, David W.","contributorId":56235,"corporation":false,"usgs":true,"family":"Roberts","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":720783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poole, Geoffrey C.","contributorId":25540,"corporation":false,"usgs":true,"family":"Poole","given":"Geoffrey C.","affiliations":[],"preferred":false,"id":720784,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192733,"text":"70192733 - 2016 - Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada","interactions":[],"lastModifiedDate":"2017-11-08T13:14:53","indexId":"70192733","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada","docAbstract":"

Changes in vegetation and snow cover may lead to feedbacks to climate through changes in surface albedo and energy fluxes between the land and atmosphere. In addition to these biogeophysical feedbacks, biogeochemical feedbacks associated with changes in carbon (C) storage in the vegetation and soils may also influence climate. Here, using a transient biogeographic model (ALFRESCO) and an ecosystem model (DOS-TEM), we quantified the biogeophysical feedbacks due to changes in vegetation and snow cover across continuous permafrost to non-permafrost ecosystems in Alaska and northwest Canada. We also computed the changes in carbon storage in this region to provide a general assessment of the direction of the biogeochemical feedback. We considered four ecoregions, or Landscape Conservations Cooperatives (LCCs; including the Arctic, North Pacific, Western Alaska, and Northwest Boreal). We examined the 90 year period from 2010 to 2099 using one future emission scenario (A1B), under outputs from two general circulation models (MPI-ECHAM5 and CCCMA-CGCM3.1). We found that changes in snow cover duration, including both the timing of snowmelt in the spring and snow return in the fall, provided the dominant positive biogeophysical feedback to climate across all LCCs, and was greater for the ECHAM (+3.1 W m−2 decade−1regionally) compared to the CCCMA (+1.3 W m−2 decade−1 regionally) scenario due to an increase in loss of snow cover in the ECHAM scenario. The greatest overall negative feedback to climate from changes in vegetation cover was due to fire in spruce forests in the Northwest Boreal LCC and fire in shrub tundra in the Western LCC (−0.2 to −0.3 W m−2 decade−1). With the larger positive feedbacks associated with reductions in snow cover compared to the smaller negative feedbacks associated with shifts in vegetation, the feedback to climate warming was positive (total feedback of +2.7 W m−2decade regionally in the ECHAM scenario compared to +0.76 W m−2 decade regionally in the CCCMA scenario). Overall, increases in C storage in the vegetation and soils across the study region would act as a negative feedback to climate. By exploring these feedbacks to climate, we can reach a more integrated understanding of the manner in which climate change may impact interactions between high-latitude ecosystems and the global climate system.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/11/10/105003","usgsCitation":"Euskirchen, E., Bennett, A.P., Breen, A.L., Genet, H., Lindgren, M.A., Kurkowski, T., McGuire, A.D., and Rupp, T., 2016, Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada: Environmental Research Letters, v. 11, p. 1-19, https://doi.org/10.1088/1748-9326/11/10/105003.","productDescription":"Article 105003; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-075009","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/10/105003","text":"Publisher Index Page"},{"id":348455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.560546875,\n 50.958426723359935\n ],\n [\n -125.20019531249999,\n 50.958426723359935\n ],\n [\n -125.20019531249999,\n 71.38514208411495\n ],\n [\n -179.560546875,\n 71.38514208411495\n ],\n [\n -179.560546875,\n 50.958426723359935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-03","publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453e7","contributors":{"authors":[{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, A. P.","contributorId":200154,"corporation":false,"usgs":false,"family":"Bennett","given":"A.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breen, Amy L.","contributorId":81396,"corporation":false,"usgs":true,"family":"Breen","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Genet, Helene","contributorId":95370,"corporation":false,"usgs":true,"family":"Genet","given":"Helene","affiliations":[],"preferred":false,"id":721170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindgren, Michael A.","contributorId":33237,"corporation":false,"usgs":true,"family":"Lindgren","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kurkowski, Tom","contributorId":198681,"corporation":false,"usgs":false,"family":"Kurkowski","given":"Tom","affiliations":[],"preferred":false,"id":721172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rupp, T. Scott","contributorId":21395,"corporation":false,"usgs":true,"family":"Rupp","given":"T. Scott","affiliations":[],"preferred":false,"id":721173,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70179551,"text":"70179551 - 2016 - Trends in mercury wet deposition and mercury air concentrations across the U.S. and Canada","interactions":[],"lastModifiedDate":"2017-02-21T15:53:27","indexId":"70179551","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","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":"Trends in mercury wet deposition and mercury air concentrations across the U.S. and Canada","docAbstract":"

This study examined the spatial and temporal trends of mercury (Hg) in wet deposition and air concentrations in the United States (U.S.) and Canada between 1997 and 2013. Data were obtained from the National Atmospheric Deposition Program (NADP) and Environment Canada monitoring networks, and other sources. Of the 19 sites with data records from 1997–2013, 53% had significant negative trends in Hg concentration in wet deposition, while no sites had significant positive trends, which is in general agreement with earlier studies that considered NADP data up until about 2010. However, for the time period 2007–2013 (71 sites), 17% and 13% of the sites had significant positive and negative trends, respectively, and for the time period 2008–2013 (81 sites) 30% and 6% of the sites had significant positive and negative trends, respectively. Non-significant positive tendencies were also widespread. Regional trend analyses revealed significant positive trends in Hg concentration in the Rocky Mountains, Plains, and Upper Midwest regions for the recent time periods in addition to significant positive trends in Hg deposition for the continent as a whole. Sulfate concentration trends in wet deposition were negative in all regions, suggesting a lower importance of local Hg sources. The trend in gaseous elemental Hg from short-term datasets merged as one continuous record was broadly consistent with trends in Hg concentration in wet deposition, with the early time period (1998–2007) producing a significantly negative trend (− 1.5 ± 0.2% year− 1) and the recent time period (2008–2013) displaying a flat slope (− 0.3 ± 0.1% year− 1, not significant). The observed shift to more positive or less negative trends in Hg wet deposition primarily seen in the Central-Western regions is consistent with the effects of rising Hg emissions from regions outside the U.S. and Canada and the influence of long-range transport in the free troposphere.

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Center","active":true,"usgs":true}],"preferred":true,"id":657671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsons, Matthew T.","contributorId":177964,"corporation":false,"usgs":false,"family":"Parsons","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":657674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gustin, Mae S.","contributorId":177966,"corporation":false,"usgs":false,"family":"Gustin","given":"Mae","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":657676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"ter Shure, Arnout","contributorId":177965,"corporation":false,"usgs":false,"family":"ter Shure","given":"Arnout","email":"","affiliations":[],"preferred":false,"id":657675,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178034,"text":"70178034 - 2016 - Optimization of scat detection methods for a social ungulate, the wild pig, and experimental evaluation of factors affecting detection of scat","interactions":[],"lastModifiedDate":"2016-11-01T13:42:50","indexId":"70178034","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of scat detection methods for a social ungulate, the wild pig, and experimental evaluation of factors affecting detection of scat","docAbstract":"

Collection of scat samples is common in wildlife research, particularly for genetic capture-mark-recapture applications. Due to high degradation rates of genetic material in scat, large numbers of samples must be collected to generate robust estimates. Optimization of sampling approaches to account for taxa-specific patterns of scat deposition is, therefore, necessary to ensure sufficient sample collection. While scat collection methods have been widely studied in carnivores, research to maximize scat collection and noninvasive sampling efficiency for social ungulates is lacking. Further, environmental factors or scat morphology may influence detection of scat by observers. We contrasted performance of novel radial search protocols with existing adaptive cluster sampling protocols to quantify differences in observed amounts of wild pig (Sus scrofa) scat. We also evaluated the effects of environmental (percentage of vegetative ground cover and occurrence of rain immediately prior to sampling) and scat characteristics (fecal pellet size and number) on the detectability of scat by observers. We found that 15- and 20-m radial search protocols resulted in greater numbers of scats encountered than the previously used adaptive cluster sampling approach across habitat types, and that fecal pellet size, number of fecal pellets, percent vegetative ground cover, and recent rain events were significant predictors of scat detection. Our results suggest that use of a fixed-width radial search protocol may increase the number of scats detected for wild pigs, or other social ungulates, allowing more robust estimation of population metrics using noninvasive genetic sampling methods. Further, as fecal pellet size affected scat detection, juvenile or smaller-sized animals may be less detectable than adult or large animals, which could introduce bias into abundance estimates. Knowledge of relationships between environmental variables and scat detection may allow researchers to optimize sampling protocols to maximize utility of noninvasive sampling for wild pigs and other social ungulates.

","language":"English","publisher":"PloS One","doi":"10.1371/journal.pone.0155615","usgsCitation":"Keiter, D.A., Cunningham, F.L., Rhodes, O.E., Irwin, B.J., and Beasley, J., 2016, Optimization of scat detection methods for a social ungulate, the wild pig, and experimental evaluation of factors affecting detection of scat: PLoS ONE, v. 25, no. 11, e0155615; 14 p., https://doi.org/10.1371/journal.pone.0155615.","productDescription":"e0155615; 14 p.","onlineOnly":"N","ipdsId":"IP-069727","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0155615","text":"Publisher Index Page"},{"id":330625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"11","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-25","publicationStatus":"PW","scienceBaseUri":"5819a9c3e4b0bb36a4c91017","contributors":{"authors":[{"text":"Keiter, David A.","contributorId":176521,"corporation":false,"usgs":false,"family":"Keiter","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Fred L.","contributorId":176522,"corporation":false,"usgs":false,"family":"Cunningham","given":"Fred","email":"","middleInitial":"L.","affiliations":[{"id":36282,"text":"USDA National Wildlife Research Center (NWRC) Mississippi Field Station, Starkville, MS","active":true,"usgs":false}],"preferred":false,"id":652650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhodes, Olin E. Jr.","contributorId":113775,"corporation":false,"usgs":true,"family":"Rhodes","given":"Olin","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":652651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beasley, James","contributorId":172814,"corporation":false,"usgs":false,"family":"Beasley","given":"James","affiliations":[{"id":27094,"text":"University of Georgia, Savannah River Ecology Laboratory, Warnell School of Forestry and Natural Resources, PO Drawer E, Aiken, SC 29802","active":true,"usgs":false}],"preferred":false,"id":652653,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}