Greater sage-grouse (Centrocercus urophasianus) have been subject to long-term and continuing declines in population and habitat since European settlement of western North America. Increased wildfire activity constitutes a primary threat to the species in western portions of their range, with documented declines in wildfire-affected populations. Following a 187,000-ha wildfire in southeastern Oregon and northern Nevada, USA, we used global positioning system (GPS) telemetry to monitor nest initiation, nest survival, nesting habitat, and adult survival of female sage-grouse during 2013 and 2014. We used known-fate models in Program MARK to estimate daily nest survival and monthly adult survival in relation to temporal patterns, physiological characteristics of females, and habitat and land-cover characteristics. We assessed habitat characteristics using geographic information system (GIS)-derived measures of post-fire habitat condition and land cover. Nest initiation rate following the fire was comparable to that observed in unaltered habitat. We observed nesting rates of 90% and 100% during 2013 and 2014, respectively, and renesting rates of 23% and 57% during the same years. Daily nest survival was consistently low in comparison to rates observed in concurrent studies in the region, for first nests during both years, and for second nests during 2013, but survival markedly increased for second nests during 2014. Sage-grouse generally did not leave the fire perimeter to nest, with 64% and 73% of nests located in the fire boundary during 2013 and 2014, respectively. Approximately 27% of nests were located in burned habitat during 2013, and 20% of nests in 2014 were located in burned habitat. Adult survival varied by month, and although patterns of monthly survival were similar between years, monthly survival rates were significantly reduced from the beginning of the study through the end of the first post-fire growing season. Our results indicate that sage-grouse continue to use fire-affected habitat in the years immediately following wildfire and sage-grouse experienced lower nest survival and adult female survival than other populations during the same period.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21573","usgsCitation":"Foster, L.J., Dugger, K., Hagen, C., and Budeau, D.A., 2019, Greater sage-grouse vital rates after wildfire: Journal of Wildlife Management, v. 83, no. 1, p. 121-134, https://doi.org/10.1002/jwmg.21573.","productDescription":"14 p.","startPage":"121","endPage":"134","ipdsId":"IP-094455","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Trout Creek Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.63130187988281,\n 41.996753126923714\n ],\n [\n -117.47543334960938,\n 41.996753126923714\n ],\n [\n -117.47543334960938,\n 42.097458173594724\n ],\n [\n -117.63130187988281,\n 42.097458173594724\n ],\n [\n -117.63130187988281,\n 41.996753126923714\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Foster, Lee J.","contributorId":201654,"corporation":false,"usgs":false,"family":"Foster","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagen, C.A.","contributorId":86526,"corporation":false,"usgs":true,"family":"Hagen","given":"C.A.","affiliations":[],"preferred":false,"id":832546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budeau, David A.","contributorId":44840,"corporation":false,"usgs":true,"family":"Budeau","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":832547,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202848,"text":"70202848 - 2019 - The potential for citizen science to produce reliable and useful information in ecology","interactions":[],"lastModifiedDate":"2019-06-18T11:18:53","indexId":"70202848","displayToPublicDate":"2018-09-22T10:11:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"The potential for citizen science to produce reliable and useful information in ecology","docAbstract":"We examined features of citizen science that influence data quality, inferential power, and usefulness in ecology. As background context for our examination, we considered topics such as ecological sampling (probability based, purposive, opportunistic), linkage between sampling technique and statistical inference(designbased,modelbased),andscientificparadigms(confirmatory,exploratory).Wedistinguished several types of citizen science investigations, from intensive research with rigorous protocols targeting clearly articulated questions to mass-participation internet-based projects with opportunistic data collection lacking samplingdesign,andexaminedoverarchingobjectives,design,analysis,volunteertraining,andperformance. We identified key features that influence data quality: project objectives, design and analysis, and volunteer training and performance. Projects with good designs, trained volunteers, and professional oversight can meet statistical criteria to produce high-quality data with strong inferential power and therefore are well suited for ecological research objectives. Projects with opportunistic data collection, little or no sampling design, and minimal volunteer training are better suited for general objectives related to public education or data exploration because reliable statistical estimation can be difficult or impossible. In some cases, statistically robust analytical methods, external data, or both may increase the inferential power of certain opportunistically collected data. Ecological management, especially by government agencies, frequently requires data suitable for reliable inference. With standardized protocols, state-of-the-art analytical methods, and well-supervised programs, citizen science can make valuable contributions to conservation by increasing the scope of species monitoring efforts. Data quality can be improved by adhering to basic principles of data collection and analysis, designing studies to provide the data quality required, and including suitable statistical expertise, thereby strengthening the science aspect of citizen science and enhancing acceptance by the scientific community and decision makers.","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13223","usgsCitation":"Brown, E., and Williams, B.K., 2019, The potential for citizen science to produce reliable and useful information in ecology: Conservation Biology, v. 33, no. 3, p. 561-569, https://doi.org/10.1111/cobi.13223.","productDescription":"9 p.","startPage":"561","endPage":"569","ipdsId":"IP-078062","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":468089,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/cobi.13223","text":"External Repository"},{"id":362581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Ellie 0000-0001-7798-830X ebrown@usgs.gov","orcid":"https://orcid.org/0000-0001-7798-830X","contributorId":200491,"corporation":false,"usgs":true,"family":"Brown","given":"Ellie","email":"ebrown@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":760254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":760255,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215780,"text":"70215780 - 2019 - Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin","interactions":[],"lastModifiedDate":"2020-10-29T14:58:29.23819","indexId":"70215780","displayToPublicDate":"2018-09-18T09:52:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin","docAbstract":"Chemicals of emerging concern (CECs) are introduced into the aquatic environment via various sources, posing a potential risk to aquatic organisms. Previous studies have identified relationships between the presence of CECs in water and broad-scale watershed characteristics. However, relationships between the presence of CECs and source-related watershed characteristics have not been explored across the Great Lakes basin. Boosted regression tree (BRT) analyses were used to develop predictive models of CEC occurrence in water and sediment throughout 24 U.S. tributaries to the Great Lakes. Models were based on the distribution of both broad-scale and source-related watershed characteristics. Twenty-one upstream watershed characteristics, including land cover, number of permitted point sources, and distance to point sources were used to develop models predicting the probability of CEC occurrence in surface water and bottom sediment. Total accuracy of BRT models ranged from 66% to 94% for both matrices. All 21 watershed characteristics were important predictor variables in at least one surface-water model; twenty were important in at least one bottom-sediment model. Among the model variables, developed land use and distance to point sources were important predictors of the presence of CEC classes in both water and sediment. Although limitations exist, BRT models are one tool available for assessing vulnerability of fisheries and aquatic resources to CEC occurrences.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.201","usgsCitation":"Kiesling, R.L., Elliott, S.M., Kammel, L.E., Choy, S.J., and Hummel, S.E., 2019, Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin: Science of the Total Environment, v. 651, no. 1, p. 838-850, https://doi.org/10.1016/j.scitotenv.2018.09.201.","productDescription":"13 p.","startPage":"838","endPage":"850","ipdsId":"IP-096874","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468090,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.201","text":"Publisher Index Page"},{"id":437631,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZK5FXJ","text":"USGS data release","linkHelpText":"Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin"},{"id":379917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.900390625,\n 39.774769485295465\n ],\n [\n -75.673828125,\n 39.774769485295465\n ],\n [\n -75.673828125,\n 48.748945343432936\n ],\n [\n -92.900390625,\n 48.748945343432936\n ],\n [\n -92.900390625,\n 39.774769485295465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"651","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kammel, Leah E. lkammel@usgs.gov","contributorId":4778,"corporation":false,"usgs":true,"family":"Kammel","given":"Leah","email":"lkammel@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":803449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choy, Steven J.","contributorId":138668,"corporation":false,"usgs":false,"family":"Choy","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":803420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Stephanie E.","contributorId":244149,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":803421,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203413,"text":"70203413 - 2019 - Seismic and acoustic signatures of surficial mass movements at volcanoes","interactions":[],"lastModifiedDate":"2019-05-14T13:45:46","indexId":"70203413","displayToPublicDate":"2018-09-15T13:44:53","publicationYear":"2019","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":"Seismic and acoustic signatures of surficial mass movements at volcanoes","docAbstract":"Surficial mass movements, such as debris avalanches, rock falls, lahars, pyroclastic flows, and outburst floods, are a dominant hazard at many volcanoes worldwide. Understanding these processes, cataloging their spatio-temporal occurrence, and detecting, tracking, and characterizing these events would advance the science of volcano monitoring and help mitigate hazards. Seismic and acoustic methods show promise for achieving these objectives: many surficial mass movements generate observable seismic and acoustic signals, and many volcanoes are already monitored. Significant progress has been made toward understanding, modeling, and extracting quantitative information from seismic and infrasonic signals generated by surficial mass movements. However, much work remains. In this paper, we review the state of the art of the topic, covering a range of scales and event types from individual rock falls to sector collapses. We consider a full variety of volcanic settings, from submarine to subaerial, shield volcano to stratovolcano. Finally, we discuss future directions toward operational seismo-acoustic monitoring of surficial mass movements at volcanoes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.09.007","usgsCitation":"Allstadt, K.E., Matoza, R.S., Lockhart, A., Moran, S.C., Caplan-Auerbach, J., Haney, M.M., Thelen, W., and Malone, S.D., 2019, Seismic and acoustic signatures of surficial mass movements at volcanoes: Journal of Volcanology and Geothermal Research, v. 364, p. 76-106, https://doi.org/10.1016/j.jvolgeores.2018.09.007.","productDescription":"31 p.","startPage":"76","endPage":"106","ipdsId":"IP-093280","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2018.09.007","text":"Publisher Index Page"},{"id":363786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363722,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2018.09.007"}],"volume":"364","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":762589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matoza, Robin S","contributorId":215528,"corporation":false,"usgs":false,"family":"Matoza","given":"Robin","email":"","middleInitial":"S","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":762590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockhart, Andrew 0000-0002-1591-3254 ablock@usgs.gov","orcid":"https://orcid.org/0000-0002-1591-3254","contributorId":204748,"corporation":false,"usgs":true,"family":"Lockhart","given":"Andrew","email":"ablock@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":548,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caplan-Auerbach, Jacqueline","contributorId":215529,"corporation":false,"usgs":false,"family":"Caplan-Auerbach","given":"Jacqueline","email":"","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":762591,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Malone, Stephen D.","contributorId":202015,"corporation":false,"usgs":false,"family":"Malone","given":"Stephen","email":"","middleInitial":"D.","affiliations":[{"id":34100,"text":"Earth and Space Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":762594,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70199244,"text":"70199244 - 2019 - Global dynamics of a mutualism–competition model with one resource and multiple consumers","interactions":[],"lastModifiedDate":"2019-03-15T12:46:52","indexId":"70199244","displayToPublicDate":"2018-09-13T15:42:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2384,"text":"Journal of Mathematical Biology","active":true,"publicationSubtype":{"id":10}},"title":"Global dynamics of a mutualism–competition model with one resource and multiple consumers","docAbstract":"Recent simulation modeling has shown that species can coevolve toward clusters of coexisting consumers exploiting the same limiting resource or resources, with nearly identical ratios of coefficients related to growth and mortality. This paper provides a mathematical basis for such as situation; a full analysis of the global dynamics of a new model for such a class of n-dimensional consumer–resource system, in which a set of consumers with identical growth to mortality ratios compete for the same resource and in which each consumer is mutualistic with the resource. First, we study the system of one resource and two consumers. By theoretical analysis, we demonstrate the expected result that competitive exclusion of one of the consumers can occur when the growth to mortality ratios differ. However, when these ratios are identical, the outcomes are complex. Either equilibrium coexistence or mutual extinction can occur, depending on initial conditions. When there is coexistence, interaction outcomes between the consumers can transition between effective mutualism, parasitism, competition, amensalism and neutralism. We generalize to the global dynamics of a system of one resource and multiple consumers. Changes in one factor, either a parameter or initial density, can determine whether all of the consumers either coexist or go to extinction together. New results are presented showing that multiple competing consumers can coexist on a single resource when they have coevolved toward identical growth to mortality ratios. This coexistence can occur because of feedbacks created by all of the consumers providing a mutualistic service to the resource. This is biologically relevant to the persistence of pollination–mutualisms.
","language":"English","publisher":"Springer","doi":"10.1007/s00285-018-1288-9","usgsCitation":"Wang, Y., Wu, H., and DeAngelis, D.L., 2019, Global dynamics of a mutualism–competition model with one resource and multiple consumers: Journal of Mathematical Biology, v. 78, no. 3, p. 683-710, https://doi.org/10.1007/s00285-018-1288-9.","productDescription":"28 p.","startPage":"683","endPage":"710","ipdsId":"IP-098481","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":357285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-04","publicationStatus":"PW","scienceBaseUri":"5bc02fa0e4b0fc368eb53925","contributors":{"authors":[{"text":"Wang, Yuanshi","contributorId":207814,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanshi","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":744802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Hong","contributorId":207815,"corporation":false,"usgs":false,"family":"Wu","given":"Hong","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":744803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":744801,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203410,"text":"70203410 - 2019 - A global empirical model for near real-time assessment of seismically induced landslides","interactions":[],"lastModifiedDate":"2019-05-14T08:15:34","indexId":"70203410","displayToPublicDate":"2018-09-03T12:40:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"A global empirical model for near real-time assessment of seismically induced landslides","docAbstract":"Earthquake-triggered landslides are a significant hazard in seismically active regions, but our ability to assess the hazard they pose in near real-time is limited. In this study, we present a new globally applicable model for seismically induced landslides based on the most comprehensive global dataset available; we use 23 landslide inventories that span a range of earthquake magnitudes and climatic and tectonic settings. We use logistic regression to relate the presence and distribution of earthquake-triggered landslides with spatially distributed estimates of ground shaking, topographic slope, lithology, land-cover type, and a topographic index designed to estimate variability in soil wetness to provide an empirical model of landslide distribution. We tested over 100 combinations of independent predictor variables to find the best-fitting model, using a diverse set of statistical tests. Blind validation tests show the model accurately estimates the distribution of available landslide inventories. The results indicate that the model is reliable and stable, with high “balanced accuracy” (correctly vs. incorrectly classified pixels) for the majority of test events. A cross validation analysis shows high balanced accuracy for a majority of events as well. By combining near-real time estimates of ground shaking with globally available landslide susceptibility data, this model provides a tool to estimate the distribution of co-seismic landslide hazard within minutes of the occurrence of any earthquake worldwide for which a USGS ShakeMap is available.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017JF004494","usgsCitation":"Nowicki Jessee, M.A., Hamburger, M., Allstadt, K.E., Wald, D.J., Tanyas, H., Hearne, M., and Thompson, E., 2019, A global empirical model for near real-time assessment of seismically induced landslides: Journal of Geophysical Research: Earth Surface, v. 123, no. 8, p. 1835-1859, https://doi.org/10.1029/2017JF004494.","productDescription":"25 p.","startPage":"1835","endPage":"1859","ipdsId":"IP-098592","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":460573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jf004494","text":"Publisher Index Page"},{"id":363731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nowicki Jessee, M. Anna 0000-0001-8076-7647","orcid":"https://orcid.org/0000-0001-8076-7647","contributorId":197022,"corporation":false,"usgs":false,"family":"Nowicki Jessee","given":"M.","email":"","middleInitial":"Anna","affiliations":[],"preferred":false,"id":762617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamburger, M.W.","contributorId":20560,"corporation":false,"usgs":true,"family":"Hamburger","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":762618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":762619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tanyas, H.","contributorId":215536,"corporation":false,"usgs":false,"family":"Tanyas","given":"H.","affiliations":[],"preferred":false,"id":762621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, E.M.","contributorId":215538,"corporation":false,"usgs":false,"family":"Thompson","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":762623,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204344,"text":"70204344 - 2019 - Evaluating potential effects of bigheaded carps on fatty acid profiles of multiple trophic levels in large rivers of the Midwest, USA","interactions":[],"lastModifiedDate":"2019-07-18T14:13:17","indexId":"70204344","displayToPublicDate":"2018-09-01T14:05:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating potential effects of bigheaded carps on fatty acid profiles of multiple trophic levels in large rivers of the Midwest, USA","docAbstract":"Recent work indicates that the establishment of bigheaded carps (Hypophthalmichthys spp.) in the United States has led to a reduction in condition of native planktivores and may detrimentally affect other trophic levels by altering the base of aquatic food webs. We used fatty acids to evaluate potential effects of bigheaded carps on taxa from multiple trophic levels in the Upper Mississippi, Illinois, and St. Croix rivers. Seston fatty acid concentrations were highest in the Illinois River lotic sites and connected backwaters and were positively associated with omega-3 highly unsaturated fatty acids, indicating that these locations had abundant, high-quality basal food resources despite hosting the greatest bigheaded carp densities. Fatty acid profiles of threeridge freshwater mussels tracked the fatty acid values in the seston and were not influenced by bigheaded carp abundances. Hydropsychid caddisflies and bluegill did not differ significantly in total fatty acids or percent lipid among spatial locations, indicating that omnivorous species may be relatively unaffected by bigheaded carps. Gizzard shad, however, exhibited the lowest fatty acid concentrations in the locations with the highest relative bigheaded carp densities, and multivariate models identified bigheaded carp densities as the predictive factor that explained the greatest amount of variability. Zooplankton abundance has been greatly reduced after bigheaded carps establishment in the Illinois River, which may explain the disconnect between the gizzard shad fatty acids and the plentiful, high-quality phytoplankton in that river. Our data provide additional evidence that bigheaded carps are negatively affecting native planktivores such as gizzard shad.","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2018.e00095","usgsCitation":"Fritts, A.K., Knights, B.C., LaFrancois, T., Vallazza, J.M., Bartsch, L., Bartsch, M.R., Richardson, W.B., Bailey, S., Kreiling, R.M., and Karns, B., 2019, Evaluating potential effects of bigheaded carps on fatty acid profiles of multiple trophic levels in large rivers of the Midwest, USA: Food Webs, v. 16, e00095, https://doi.org/10.1016/j.fooweb.2018.e00095.","productDescription":"e00095","ipdsId":"IP-097779","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2018.e00095","text":"Publisher Index Page"},{"id":365724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365703,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2018.e00095"}],"country":"United States","state":"Minnesota, Iowa, Missouri, Wisconsin, Illinois, Michigan, Indiana, Ohio, North Dakota, South Dakota, Nebraska, Kansas","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-87.800477,42.49192],[-87.812461,42.232278],[-87.511043,41.696535],[-87.187651,41.629653],[-86.616978,41.896625],[-86.321803,42.310743],[-86.208309,42.762789],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.110884,45.526285],[-84.94565,45.708621],[-85.011433,45.757962],[-84.204218,45.627116],[-84.095905,45.497298],[-83.488826,45.355872],[-83.291346,45.062597],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.833103,44.036851],[-82.643166,43.852468],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.431103,41.757457],[-82.481214,41.381342],[-81.69325,41.514161],[-80.533774,41.973475],[-80.518991,40.638801],[-80.667957,40.582496],[-80.619297,40.26517],[-80.88036,39.620706],[-81.656138,39.277355],[-81.874857,38.881174],[-82.068864,38.984878],[-82.318111,38.457876],[-82.569368,38.406258],[-82.923694,38.750076],[-83.301951,38.598178],[-83.512571,38.701716],[-83.762445,38.652103],[-84.212904,38.805707],[-84.445242,39.114461],[-84.744149,39.147458],[-84.888873,39.066376],[-84.816506,38.80532],[-85.448862,38.713368],[-85.415272,38.555416],[-85.816164,38.282969],[-86.042354,37.958018],[-86.33281,38.182938],[-86.634271,37.843845],[-86.810913,37.99715],[-87.065388,37.810481],[-87.402632,37.942267],[-87.666522,37.827455],[-87.921744,37.907885],[-88.158374,37.639948],[-88.063311,37.515755],[-88.450127,37.411717],[-88.490068,37.067874],[-89.058036,37.188767],[-89.171881,37.068184],[-89.202607,36.601576],[-89.343753,36.630991],[-89.429311,36.481875],[-89.55264,36.577178],[-89.527029,36.341679],[-89.703511,36.243412],[-89.615128,36.113816],[-89.733095,36.000608],[-90.368718,35.995812],[-90.075934,36.281485],[-90.157136,36.484317],[-94.617919,36.499414],[-94.699735,36.998805],[-102.000447,36.993249],[-102.051614,41.002377],[-104.039238,41.001502],[-104.048807,48.933636],[-95.153711,48.998903],[-95.153314,49.384358],[-94.974286,49.367738],[-94.555835,48.716207],[-93.741843,48.517347],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.86827,47.5569],[-92.058888,46.809938],[-91.942988,46.679939],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.398478,46.575832],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192]]],[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA \"}}]}","volume":"16","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaFrancois, Toben","contributorId":173075,"corporation":false,"usgs":false,"family":"LaFrancois","given":"Toben","affiliations":[],"preferred":false,"id":766437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartsch, Michelle R. 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":149359,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766441,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766443,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Karns, Byron","contributorId":192390,"corporation":false,"usgs":false,"family":"Karns","given":"Byron","affiliations":[],"preferred":false,"id":766444,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70204361,"text":"70204361 - 2019 - Intensive sampling reveals underreported use of great-river tributaries by large-river fishes in Missouri","interactions":[],"lastModifiedDate":"2019-07-22T11:46:41","indexId":"70204361","displayToPublicDate":"2018-09-01T11:46:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Intensive sampling reveals underreported use of great-river tributaries by large-river fishes in Missouri","docAbstract":"Large tributaries may help sustain large-river fish populations by mitigating fish-habitat losses within the highly modified great rivers of the Mississippi River basin. These tributaries are likely most beneficial for fish species specializing on non-degraded large-river habitat for some portion of their life histories. Few great-river tributaries, however, have been surveyed using methods that comprehensively target all fish species, resulting in uncertainty or bias in the reported composition of many tributary fish assemblages. We report important distributional records, including 23 new accounts, for 12 large-river specialist fishes in Missouri—Alosa alabamae (Alabama Shad), Cycleptus elongatus (Blue Sucker), Pimephales vigilax (Bullhead Minnow), Notropis wickliffi (Channel Shiner), Polyodon spathula (Paddlefish), Hybognathus placitus (Plains Minnow), N. blennius (River Shiner), Macrhybopsis hyostoma (Shoal Chub), Scaphirhynchus platorynchus (Shovelnose Sturgeon), M. storeriana (Silver Chub), Ichthyomyzon unicuspis (Silver Lamprey), and Alosa chrysochloris(Skipjack Herring)—following 38 comprehensive fish surveys in tributaries of the Missouri and Mississippi rivers. New accounts collectively demonstrate tributaries support more large-river specialists than historically documented and thus may be currently undervalued sources of habitat for large-river fishes.
","language":"English","publisher":"BioOne","doi":"10.1656/058.017.0316","usgsCitation":"Dunn, C.G., Brooke, B.L., Hrabik, R.A., and Paukert, C.P., 2019, Intensive sampling reveals underreported use of great-river tributaries by large-river fishes in Missouri: Southeastern Naturalist, v. 17, no. 3, p. 512-520, https://doi.org/10.1656/058.017.0316.","productDescription":"9 p.","startPage":"512","endPage":"520","ipdsId":"IP-081171","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"links":[{"id":365776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.545006,36.336809],[-89.605668,36.342234],[-89.615841,36.336085],[-89.620255,36.323006],[-89.611819,36.309088],[-89.578492,36.288317],[-89.554289,36.277751],[-89.539487,36.277368],[-89.534507,36.261802],[-89.539229,36.248821],[-89.562206,36.250909],[-89.577544,36.242262],[-89.602374,36.238106],[-89.642182,36.249486],[-89.678046,36.248284],[-89.695235,36.252766],[-89.705328,36.239898],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.59307,36.129699],[-89.601936,36.11947],[-89.666598,36.095802],[-89.678821,36.084636],[-89.688577,36.029238],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.34909,36.040131],[-90.339343,36.047112],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.266256,36.120559],[-90.235585,36.139474],[-90.231386,36.147348],[-90.23537,36.159153],[-90.220425,36.184764],[-90.21128,36.183392],[-90.188189,36.20536],[-90.152497,36.215582],[-90.14224,36.227522],[-90.126366,36.229367],[-90.130114,36.240307],[-90.118219,36.253491],[-90.114922,36.265595],[-90.086471,36.271531],[-90.06398,36.303038],[-90.081961,36.322097],[-90.074074,36.342895],[-90.077695,36.348478],[-90.066297,36.3593],[-90.064514,36.382085],[-90.078671,36.399116],[-90.138512,36.413952],[-90.134231,36.422827],[-90.143743,36.424433],[-90.143798,36.428483],[-90.134136,36.436602],[-90.137323,36.455411],[-90.141101,36.461791],[-90.155804,36.463555],[-90.152888,36.47093],[-90.142222,36.470554],[-90.143683,36.476029],[-90.158838,36.479558],[-90.159305,36.492446],[-90.152481,36.497952],[-94.617919,36.499414],[-94.617975,37.722176],[-94.607354,39.113444],[-94.589933,39.140403],[-94.591933,39.155003],[-94.608834,39.160503],[-94.640035,39.153103],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.741938,39.170203],[-94.763138,39.179903],[-94.781518,39.206146],[-94.811663,39.206594],[-94.831679,39.215938],[-94.835056,39.220658],[-94.825663,39.241729],[-94.831471,39.256273],[-94.84632,39.268481],[-94.887056,39.28648],[-94.905329,39.311952],[-94.910017,39.352543],[-94.88136,39.370383],[-94.879281,39.37978],[-94.885026,39.389801],[-94.901823,39.392798],[-94.92311,39.384492],[-94.942039,39.389499],[-94.946293,39.405646],[-94.972952,39.421705],[-94.982144,39.440552],[-95.0375,39.463689],[-95.045716,39.472459],[-95.052177,39.499996],[-95.082714,39.516712],[-95.109304,39.542285],[-95.113077,39.559133],[-95.103228,39.577783],[-95.089515,39.581028],[-95.064519,39.577115],[-95.049277,39.589583],[-95.046361,39.599557],[-95.055152,39.621657],[-95.053367,39.630347],[-95.027644,39.665454],[-95.018318,39.672869],[-94.984149,39.67785],[-94.971317,39.68641],[-94.971206,39.729305],[-94.965318,39.739065],[-94.948726,39.745593],[-94.902612,39.724202],[-94.875643,39.730494],[-94.862943,39.742994],[-94.860743,39.763094],[-94.869644,39.772894],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.929654,39.788282],[-94.884084,39.794234],[-94.875944,39.813294],[-94.878677,39.826522],[-94.886933,39.833098],[-94.916918,39.836138],[-94.942567,39.856602],[-94.928466,39.876344],[-94.929574,39.888754],[-94.95154,39.900533],[-94.986975,39.89667],[-95.00844,39.900596],[-95.024389,39.891202],[-95.027931,39.871522],[-95.037767,39.865542],[-95.085003,39.861883],[-95.128166,39.874165],[-95.140601,39.881688],[-95.143802,39.901918],[-95.149657,39.905948],[-95.179453,39.900062],[-95.199347,39.902709],[-95.206326,39.912121],[-95.20069,39.928155],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.387195,40.02677],[-95.40726,40.033112],[-95.416824,40.043235],[-95.42164,40.058952],[-95.409856,40.07432],[-95.407591,40.09803],[-95.394216,40.108263],[-95.39284,40.115887],[-95.398667,40.126419],[-95.428749,40.135577],[-95.436348,40.15872],[-95.460746,40.169173],[-95.479193,40.185652],[-95.482757,40.197346],[-95.469718,40.227908],[-95.477501,40.24272],[-95.490333,40.248966],[-95.521925,40.24947],[-95.552473,40.261904],[-95.556325,40.267714],[-95.550966,40.285947],[-95.562157,40.297359],[-95.581787,40.29958],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.653729,40.322582],[-95.625204,40.334288],[-95.623728,40.346567],[-95.641027,40.366399],[-95.643934,40.386849],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.652262,40.538114],[-95.655848,40.546609],[-95.671754,40.562626],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69505,40.533124],[-95.708591,40.521551],[-95.722444,40.528118],[-95.75711,40.52599],[-95.769281,40.536656],[-95.763366,40.550797],[-95.773549,40.578205],[-95.765645,40.585208],[-94.632035,40.571186],[-94.080463,40.572899],[-92.689854,40.589884],[-91.729115,40.61364],[-91.716769,40.59853],[-91.686357,40.580875],[-91.690804,40.559893],[-91.681714,40.553035],[-91.6219,40.542292],[-91.618028,40.53403],[-91.621353,40.510072],[-91.590817,40.492292],[-91.574746,40.465664],[-91.52509,40.457845],[-91.524053,40.448437],[-91.533623,40.43832],[-91.519935,40.433673],[-91.526555,40.419872],[-91.522333,40.409648],[-91.498093,40.401926],[-91.489816,40.404317],[-91.484507,40.3839],[-91.465116,40.385257],[-91.465009,40.376223],[-91.452458,40.375501],[-91.441243,40.386255],[-91.419422,40.378264],[-91.444833,40.36317],[-91.46214,40.342414],[-91.492727,40.278217],[-91.490524,40.259498],[-91.505828,40.238839],[-91.505495,40.195606],[-91.512974,40.181062],[-91.508224,40.157665],[-91.510322,40.127994],[-91.489606,40.057435],[-91.494878,40.036453],[-91.465315,39.983995],[-91.41936,39.927717],[-91.41988,39.916533],[-91.443513,39.893583],[-91.446922,39.883034],[-91.436051,39.84551],[-91.377971,39.811273],[-91.361571,39.787548],[-91.370009,39.732524],[-91.3453,39.709402],[-91.27614,39.665759],[-91.229317,39.620853],[-91.181936,39.602677],[-91.174651,39.593313],[-91.168419,39.564928],[-91.153628,39.548248],[-91.100307,39.538695],[-91.079769,39.507728],[-91.064305,39.494643],[-91.059439,39.46886],[-91.03827,39.448436],[-90.993789,39.422959],[-90.940766,39.403984],[-90.928745,39.387544],[-90.904862,39.379403],[-90.893777,39.367343],[-90.8475,39.345272],[-90.816851,39.320496],[-90.793461,39.309498],[-90.751599,39.265432],[-90.72996,39.255894],[-90.717113,39.213912],[-90.707902,39.15086],[-90.686051,39.117785],[-90.681086,39.10059],[-90.681994,39.090066],[-90.712541,39.057064],[-90.71158,39.046798],[-90.678193,38.991851],[-90.675949,38.96214],[-90.657254,38.92027],[-90.639917,38.908272],[-90.625122,38.888654],[-90.583388,38.86903],[-90.555693,38.870785],[-90.500117,38.910408],[-90.486974,38.925982],[-90.482419,38.94446],[-90.472122,38.958838],[-90.440078,38.967364],[-90.395816,38.960037],[-90.309454,38.92412],[-90.250248,38.919344],[-90.109407,38.843548],[-90.123107,38.798048],[-90.166409,38.772649],[-90.176309,38.754449],[-90.20991,38.72605],[-90.20921,38.70275],[-90.18641,38.67475],[-90.181325,38.660381],[-90.17801,38.63375],[-90.18451,38.611551],[-90.196011,38.594451],[-90.222112,38.576451],[-90.260314,38.528352],[-90.285215,38.443453],[-90.295316,38.426753],[-90.349743,38.377609],[-90.368219,38.340254],[-90.373929,38.281853],[-90.353902,38.213855],[-90.331554,38.18758],[-90.290765,38.170453],[-90.274928,38.157615],[-90.243116,38.112669],[-90.218708,38.094365],[-90.17222,38.069636],[-90.158533,38.074735],[-90.130788,38.062341],[-90.126612,38.043981],[-90.11052,38.026547],[-90.08826,38.015772],[-90.059367,38.015543],[-90.051357,38.003584],[-90.03241,37.995258],[-90.00011,37.964563],[-89.978919,37.962791],[-89.942099,37.970121],[-89.933797,37.959143],[-89.925085,37.960021],[-89.932467,37.947497],[-89.959646,37.940196],[-89.974918,37.926719],[-89.952499,37.883218],[-89.923185,37.870672],[-89.901832,37.869822],[-89.844786,37.905572],[-89.799333,37.881517],[-89.796087,37.859505],[-89.786369,37.851734],[-89.782035,37.855092],[-89.739873,37.84693],[-89.71748,37.825724],[-89.669644,37.799922],[-89.660227,37.781032],[-89.667993,37.759484],[-89.665546,37.752095],[-89.64953,37.745498],[-89.617278,37.74972],[-89.612478,37.740036],[-89.596566,37.732886],[-89.583316,37.713261],[-89.516685,37.692762],[-89.51204,37.680985],[-89.517718,37.641217],[-89.478399,37.598869],[-89.47603,37.590226],[-89.486062,37.580853],[-89.519808,37.582748],[-89.521925,37.560735],[-89.517051,37.537278],[-89.475525,37.471388],[-89.439769,37.4372],[-89.421054,37.387668],[-89.432836,37.347056],[-89.489005,37.333368],[-89.511842,37.310825],[-89.51834,37.285497],[-89.489915,37.251315],[-89.470525,37.253357],[-89.458827,37.248661],[-89.467631,37.2182],[-89.456105,37.18812],[-89.42558,37.138235],[-89.37871,37.094586],[-89.375712,37.080505],[-89.384681,37.048251],[-89.362397,37.030156],[-89.322982,37.01609],[-89.29213,36.992189],[-89.278628,36.98867],[-89.263527,37.00005],[-89.257608,37.015496],[-89.260003,37.023288],[-89.304752,37.047565],[-89.310819,37.057897],[-89.30829,37.068371],[-89.259936,37.064071],[-89.25493,37.072014],[-89.234053,37.037277],[-89.200793,37.016164],[-89.192097,36.979995],[-89.185491,36.973518],[-89.170008,36.970298],[-89.125069,36.983499],[-89.109498,36.976563],[-89.099594,36.964543],[-89.100762,36.944002],[-89.117567,36.887356],[-89.131944,36.857437],[-89.137969,36.847349],[-89.1704,36.841522],[-89.178888,36.831368],[-89.179229,36.812915],[-89.171069,36.798119],[-89.155891,36.789126],[-89.12353,36.785309],[-89.116563,36.767557],[-89.126134,36.751735],[-89.166888,36.759633],[-89.184523,36.753638],[-89.197808,36.739412],[-89.19948,36.716045],[-89.169522,36.688878],[-89.169467,36.674596],[-89.15908,36.666352],[-89.197654,36.628936],[-89.202607,36.601576],[-89.217447,36.576159],[-89.236542,36.566824],[-89.258318,36.564948],[-89.278935,36.577699],[-89.326731,36.632186],[-89.365548,36.625059],[-89.375453,36.615719],[-89.382762,36.583603],[-89.41977,36.493896],[-89.448468,36.46442],[-89.464153,36.457189],[-89.486215,36.46162],[-89.494248,36.475972],[-89.465888,36.529946],[-89.467761,36.546847],[-89.479093,36.568206],[-89.500076,36.576305],[-89.542459,36.580566],[-89.566817,36.564216],[-89.571241,36.547343],[-89.560344,36.525436],[-89.519501,36.475419],[-89.523427,36.456572],[-89.543406,36.43877],[-89.545255,36.427079],[-89.509722,36.373626],[-89.519,36.3486],[-89.545006,36.336809]]]},\"properties\":{\"name\":\"Missouri\",\"nation\":\"USA \"}}]}","volume":"17","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunn, Corey G.","contributorId":191569,"corporation":false,"usgs":false,"family":"Dunn","given":"Corey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":766671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooke, Brandon L.","contributorId":217378,"corporation":false,"usgs":false,"family":"Brooke","given":"Brandon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":766672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hrabik, Robert A.","contributorId":148008,"corporation":false,"usgs":false,"family":"Hrabik","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":766673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":766522,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206272,"text":"70206272 - 2019 - Interactive effects of severe drought and grazing on the life history cycle of a bioindicator species on the edge of its range","interactions":[],"lastModifiedDate":"2019-10-29T08:25:58","indexId":"70206272","displayToPublicDate":"2018-09-01T08:24:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Interactive effects of severe drought and grazing on the life history cycle of a bioindicator species on the edge of its range","docAbstract":"Recurring drought and grazing are ecological drivers of semi-arid grasslands on the Southern High Plains, USA; however, ecological drivers are currently undergoing human-induced alterations, which likely have implications for wildlife. We used the lesser prairie-chicken (Tympanuchus pallidicinctus), an iconic grouse species that exhibits a boom-bust life history strategy, on the Southern High Plains, USA, as a bioindicator of main and interactive effects of severe drought and grazing. This region encompasses the southern and westernmost part of the lesser prairie-chicken range and experienced the worst drought on record in 2011. We surveyed lesser prairie-chicken leks (i.e., communal breeding grounds) across 12 years that represented 7 years before the 2011 drought (\"pre-drought\") and 4 years during and following the 2011 drought (\"post-drought\"). Grazing was annually managed with the objective of achieving ≤50% utilization of above-ground vegetation biomass. We used lek (n = 49) count data and covariates of weather and managed grazing to: 1) estimate long-term lesser prairie-chicken abundance and compare abundance pre-drought and post-drought; 2) examine annually the influence of drought (modified Palmer Drought Index), temperature, the number of days with maximum temperature >75th percentile, and precipitation on long-term lesser prairie-chicken survival and recruitment; and 3) assess and compare the influence of grazing on lesser prairie-chickens pre-drought and post-drought. Lesser prairie-chicken abundance was nearly 7 times greater pre-drought than post-drought, and population declines were attributed to decreased survival and recruitment. The number of days with temperature >75th percentile had the greatest effect, particularly on recruitment. The population exhibited a substantial bust during 2011 and 2012 without a boom to recover in 4 post-drought years. Adaptive grazing positively influenced the population pre-drought, but had no effects post-drought. Results suggest that the severe drought in 2011 may have been beyond the range of environmental conditions to which lesser prairie-chickens, and likely other species, have adapted. Land management practices, such as grazing, should remain adaptive to ensure potential negative influences to all species are avoided. Increasing habitat quantity and quality by reducing habitat loss and fragmentation likely will increase resiliency of the ecosystem and individual species.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4432","usgsCitation":"Haukos, D.A., Boal, C.W., Fritts1, S.R., B. A. Grisham1, R. D. Cox1, McDaniel4, P., Hagen, C.A., and Greene6, D.U., 2019, Interactive effects of severe drought and grazing on the life history cycle of a bioindicator species on the edge of its range: Ecology and Evolution, v. 8, no. 18, p. 9550-9562, https://doi.org/10.1002/ece3.4432.","productDescription":"13 p.","startPage":"9550","endPage":"9562","ipdsId":"IP-088180","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":460577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4432","text":"Publisher Index Page"},{"id":368692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Southern High Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.19433593749999,\n 31.700129553985924\n ],\n [\n -99.5361328125,\n 31.700129553985924\n ],\n [\n -99.5361328125,\n 36.01356058518153\n ],\n [\n -104.19433593749999,\n 36.01356058518153\n ],\n [\n -104.19433593749999,\n 31.700129553985924\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"18","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":774037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":774038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fritts1, S. R.","contributorId":220068,"corporation":false,"usgs":false,"family":"Fritts1","given":"S.","email":"","middleInitial":"R.","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":774039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"B. A. Grisham1","contributorId":220069,"corporation":false,"usgs":false,"family":"B. A. Grisham1","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":774040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"R. D. Cox1","contributorId":220070,"corporation":false,"usgs":false,"family":"R. D. Cox1","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":774041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDaniel4, P.","contributorId":220071,"corporation":false,"usgs":false,"family":"McDaniel4","given":"P.","email":"","affiliations":[{"id":40129,"text":"chmm","active":true,"usgs":false}],"preferred":false,"id":774042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hagen, C. A.","contributorId":220072,"corporation":false,"usgs":false,"family":"Hagen","given":"C.","email":"","middleInitial":"A.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":774043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greene6, D. U.","contributorId":220073,"corporation":false,"usgs":false,"family":"Greene6","given":"D.","email":"","middleInitial":"U.","affiliations":[{"id":40130,"text":"wc","active":true,"usgs":false}],"preferred":false,"id":774044,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227934,"text":"70227934 - 2019 - Acoustic telemetry and benthic habitat mapping inform the spatial ecology of Shortnose Sturgeon in the Hudson River, New York, USA","interactions":[],"lastModifiedDate":"2022-02-02T17:50:48.6856","indexId":"70227934","displayToPublicDate":"2018-08-31T11:14:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic telemetry and benthic habitat mapping inform the spatial ecology of Shortnose Sturgeon in the Hudson River, New York, USA","docAbstract":"A history of overexploitation and industrialization of riverine habitats has impacted the Shortnose Sturgeon Acipenser brevirostrum, leading this species to become one of the earliest listed under the U.S. Endangered Species Act. The present understanding of Shortnose Sturgeon spatial ecology is based on observations from a limited number of Atlantic coastal rivers. To better understand Shortnose Sturgeon in the Hudson River, New York, we used acoustic telemetry to characterize seasonal habitat use and to identify regions of the river where seasonal sturgeon activity occurred. From 2012 to 2016, 101 adult fish were tagged and tracked, and sturgeon detections per unit effort (a metric of fish observation standardized by search effort) were evaluated against benthic habitat variables by using generalized additive regression models. Models indicated strong habitat associations in the spring season defined by gravel-dominated substrates and specific depth ranges, presumably associated with spawning activity. During summer, Shortnose Sturgeon were more dispersed, associating with muddy habitats, whereas in fall/winter, sturgeon congregated in specific regions of the river. These data demonstrate that river use and habitat associations vary seasonally and identify important areas for managing overlap between seasonal habitat use by Shortnose Sturgeon and human activity on the river.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10114","usgsCitation":"Pendleton, R., Standley, C.R., Higgs, A.L., Kenney, G.H., Sullivan, P., Sethi, S., and Harris, B.P., 2019, Acoustic telemetry and benthic habitat mapping inform the spatial ecology of Shortnose Sturgeon in the Hudson River, New York, USA: Transactions of the American Fisheries Society, v. 148, no. 1, p. 35-47, https://doi.org/10.1002/tafs.10114.","productDescription":"13 p.","startPage":"35","endPage":"47","ipdsId":"IP-095043","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.2071533203125,\n 40.80965166748853\n ],\n [\n -73.47656249999999,\n 40.80965166748853\n ],\n [\n -73.47656249999999,\n 42.75911283724358\n ],\n [\n -74.2071533203125,\n 42.75911283724358\n ],\n [\n -74.2071533203125,\n 40.80965166748853\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Pendleton, Richard M.","contributorId":273135,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard M.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Standley, Christopher R.","contributorId":273136,"corporation":false,"usgs":false,"family":"Standley","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":56430,"text":"New York State Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":832605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higgs, Amanda L.","contributorId":273137,"corporation":false,"usgs":false,"family":"Higgs","given":"Amanda","email":"","middleInitial":"L.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenney, Gregg H.","contributorId":273138,"corporation":false,"usgs":false,"family":"Kenney","given":"Gregg","email":"","middleInitial":"H.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Patrick J.","contributorId":273139,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":832608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, Bradley P.","contributorId":273140,"corporation":false,"usgs":false,"family":"Harris","given":"Bradley","email":"","middleInitial":"P.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":832609,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70206328,"text":"70206328 - 2019 - A landscape-level assessment of whitebark pine regeneration in the Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2019-10-30T15:05:11","indexId":"70206328","displayToPublicDate":"2018-08-29T15:02:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1688,"text":"Forest Science","active":true,"publicationSubtype":{"id":10}},"title":"A landscape-level assessment of whitebark pine regeneration in the Rocky Mountains, USA","docAbstract":"Whitebark pine (Pinus albicaulis Engelm.) has recently experienced high mortality due to multiple stressors, and future population viability may rely on natural regeneration. We assessed whitebark pine seedling densities throughout the US Rocky Mountains and identified stand, site, and climatic variables related to seedling presence based on data from 1,217 USDA Forest Service Forest Inventory and Analysis plots. Although mean densities were highest in the whitebark pine forest type, 83% of sites with seedlings present occurred in non-whitebark pine forest types, and the highest densities occurred in the lodgepole pine forest type. To identify factors related to whitebark pine seedling presence, we compared the results generated from three statistical models: logistic regression, classification tree, and random forests. All three models identified cover of grouse whortleberry (Vaccinium scoparium Leiberg ex Coville) as an important predictor, two models distinguished live and dead whitebark pine basal area and elevation, and one model recognized seasonal temperature. None of the models identified forest type as an important predictor. Understanding these factors may help managers identify areas where natural regeneration of whitebark pine is likely to occur, including sites in non-whitebark pine forest types.","language":"English","publisher":"Oxford Academic","doi":"10.1093/forsci/fxy029","usgsCitation":"Goeking, S., Izlar, D., and Edwards, T., 2019, A landscape-level assessment of whitebark pine regeneration in the Rocky Mountains, USA: Forest Science, v. 65, no. 1, p. 87-99, https://doi.org/10.1093/forsci/fxy029.","productDescription":"13 p.","startPage":"87","endPage":"99","ipdsId":"IP-088499","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/forsci/fxy029","text":"Publisher Index Page"},{"id":368752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.861328125,\n 46.86019101567027\n ],\n [\n -113.466796875,\n 42.4234565179383\n ],\n [\n -111.005859375,\n 40.17887331434696\n ],\n [\n -107.57812499999999,\n 39.977120098439634\n ],\n [\n -108.19335937499999,\n 38.34165619279595\n ],\n [\n -106.787109375,\n 36.10237644873644\n ],\n [\n -103.88671875,\n 37.09023980307208\n ],\n [\n -104.32617187499999,\n 39.027718840211605\n ],\n [\n -105.46875,\n 40.84706035607122\n ],\n [\n -106.69921875,\n 43.389081939117496\n ],\n [\n -110.74218749999999,\n 46.255846818480315\n ],\n [\n -113.02734374999999,\n 47.45780853075031\n ],\n [\n -113.818359375,\n 48.86471476180277\n ],\n [\n -116.19140625,\n 48.80686346108517\n ],\n [\n -117.861328125,\n 46.86019101567027\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"65","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Goeking, Sara","contributorId":220117,"corporation":false,"usgs":false,"family":"Goeking","given":"Sara","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":774171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izlar, Deborah","contributorId":220118,"corporation":false,"usgs":false,"family":"Izlar","given":"Deborah","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":774172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":774170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204364,"text":"70204364 - 2019 - Identifying optimal hauling densities for adult Chinook Salmon trap and haul operations","interactions":[],"lastModifiedDate":"2019-12-22T14:46:20","indexId":"70204364","displayToPublicDate":"2018-08-29T12:14:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Identifying optimal hauling densities for adult Chinook Salmon trap and haul operations","docAbstract":"Trap and haul programs are used to conserve fish populations by circumventing high mortality locations or events, and enhancing population abundance by reintroducing fish to historical habitats and mitigating for fish passage limitations. Spring run Chinook Salmon are transported in trucks upstream of barrier dams in Willamette River Tributaries as part of fish conservation efforts. Fish mortalities occurring during hauling minimizes the utility of the effort because natural origin fish are targeted for theses outplanting efforts. The objectives of this study were to develop models predicting hauling mortality and identify optimal hauling densities that minimize mortality risk and effort. We used an information-theoretic approach to evaluate multiple models predicting hauling mortality. Predictors identified varied between the two dams evaluated but were related to operations and annual or in-river conditions. The amount of time loading fish and the density of fish in tank trucks were positively associated with hauling mortality. Instream flows and thermal exposure were also identified as factors predicting with hauling mortality. We used the results of model selection to predict mortality risk and calculate daily hauling effort. Risk and effort were combined into a utility to identify optimal hauling densities for varying numbers of fish to haul and transport truck volume. Optimal hauling densities varied between dams reflecting whether loading time or hauling density was associated with hauling mortality. This analysis provides managers a way to integrate research, monitoring, and management to improve understanding of factors associated with hauling mortality and adjust optimal hauling densities using adaptive management.","language":"English","publisher":"Wiley","doi":"10.1002/rra.3348","usgsCitation":"Colvin, M., Peterson, J., Sharpe, C., Kent, M., and Schreck, C.B., 2019, Identifying optimal hauling densities for adult Chinook Salmon trap and haul operations: River Research and Applications, v. 34, no. 9, https://doi.org/10.1002/rra.3348.","productDescription":"10 p.","startPage":"1167","ipdsId":"IP-081335","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":365795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.02490234375,\n 43.97700467496408\n ],\n [\n -122.64038085937499,\n 44.37098696297173\n ],\n [\n -122.618408203125,\n 45.236217535866025\n ],\n [\n -122.11303710937499,\n 45.36758436884978\n ],\n [\n -122.508544921875,\n 45.72152152227954\n ],\n [\n -122.991943359375,\n 45.805828539928356\n ],\n [\n -123.211669921875,\n 45.52944081525666\n ],\n [\n -123.49731445312499,\n 45.042478050891546\n ],\n [\n -123.49731445312499,\n 44.715513732021336\n ],\n [\n -123.50830078125,\n 44.19795903948531\n ],\n [\n -123.02490234375,\n 43.97700467496408\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"9","edition":"1158","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Colvin, Michael","contributorId":201736,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael","email":"","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":766541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":766539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Cameron","contributorId":178951,"corporation":false,"usgs":false,"family":"Sharpe","given":"Cameron","email":"","affiliations":[],"preferred":false,"id":766542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Michael L.","contributorId":108420,"corporation":false,"usgs":true,"family":"Kent","given":"Michael L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":766543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":766540,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204962,"text":"70204962 - 2019 - Characterizing residence patterns of North Atlantic right whales in the southeastern U.S. with a multistate open robust design model","interactions":[],"lastModifiedDate":"2019-08-28T09:20:29","indexId":"70204962","displayToPublicDate":"2018-08-29T08:52:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing residence patterns of North Atlantic right whales in the southeastern U.S. with a multistate open robust design model","docAbstract":"Effective conservation of endangered North Atlantic right whales (Eubalaena glacialis) requires information about their spatio-temporal distribution. Understanding temporal distribution is particularly important, because a portion of the population migrates between high latitude summer feeding grounds off the northeastern U.S. and Canadian Maritimes coasts and lower latitude calving and wintering grounds off the southeastern U.S. coast (SEUS). Here, we modeled SEUS residence patterns using photo-identification data from coastal South Carolina, Georgia, and Florida from seven winter seasons (2004/2005 – 2010/2011). We used multistate open robust design models to evaluate effects of reproductive status, demographic group, and environmental conditions on SEUS residence. Model estimates accounted for temporal variation and imperfect detection and provided probabilities of entering the SEUS, staying in the SEUS, and being sighted. We also derived estimates for residence time and seasonal abundance. We observed staggered arrival and departure patterns and demographic differences in residence patterns that are characteristic of a differential migration strategy. Calving females arrived earliest and, in most seasons, had mean residence periods more than twice as long as other demographic groups. Conversely, adult males arrived the latest, and had the shortest residence times. Within-season, biweekly detection was positively influenced by survey effort, and seasonal detection rate estimates ranged from 0.83 ± 0.08 for non-calving adult females to 0.98 ± 0.02 for calving females. Results provide insights into right whale behavior, biology, and temporal distribution in the SEUS and can be used to evaluate spatially- and temporally- dynamic management measures.","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00902","usgsCitation":"Krystan, A., Gowan, T., Kendall, W.L., Martin, J., Ortega-Ortiz, J., Jackson, K., Knowlton, A., Naessig, P., Zani, M., Schulte, D., and Taylor, C., 2019, Characterizing residence patterns of North Atlantic right whales in the southeastern U.S. with a multistate open robust design model: Endangered Species Research, v. 36, p. 279-295, https://doi.org/10.3354/esr00902.","productDescription":"17 p.","startPage":"279","endPage":"295","ipdsId":"IP-089091","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460581,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00902","text":"Publisher Index Page"},{"id":366947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina, Georgia, Florida ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.46435546875,\n 33.925129700072\n ],\n [\n -79.56298828125,\n 34.74161249883172\n ],\n [\n -82.81494140625,\n 31.952162238024975\n ],\n [\n -81.9580078125,\n 29.22889003019423\n ],\n [\n -80.57373046875,\n 25.18505888358067\n ],\n [\n -79.87060546875,\n 24.206889622398023\n ],\n [\n -71.69677734375,\n 26.07652055985697\n ],\n [\n -69.9169921875,\n 32.76880048488168\n ],\n [\n -78.46435546875,\n 33.925129700072\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Krystan, A.M.","contributorId":218446,"corporation":false,"usgs":false,"family":"Krystan","given":"A.M.","email":"","affiliations":[{"id":20317,"text":"Florida Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":769293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gowan, T.A.","contributorId":218447,"corporation":false,"usgs":false,"family":"Gowan","given":"T.A.","email":"","affiliations":[{"id":20317,"text":"Florida Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":769294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":769291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ortega-Ortiz, J.G.","contributorId":218448,"corporation":false,"usgs":false,"family":"Ortega-Ortiz","given":"J.G.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":769295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, K.B.","contributorId":206454,"corporation":false,"usgs":false,"family":"Jackson","given":"K.B.","email":"","affiliations":[],"preferred":false,"id":769296,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knowlton, A.R.","contributorId":218449,"corporation":false,"usgs":false,"family":"Knowlton","given":"A.R.","email":"","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":769297,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Naessig, P.","contributorId":218450,"corporation":false,"usgs":false,"family":"Naessig","given":"P.","email":"","affiliations":[{"id":26955,"text":"Sea to Shore Alliance","active":true,"usgs":false}],"preferred":false,"id":769298,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zani, M.","contributorId":218451,"corporation":false,"usgs":false,"family":"Zani","given":"M.","email":"","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":769299,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schulte, D.W.","contributorId":218452,"corporation":false,"usgs":false,"family":"Schulte","given":"D.W.","email":"","affiliations":[{"id":26955,"text":"Sea to Shore Alliance","active":true,"usgs":false}],"preferred":false,"id":769300,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Taylor, C.R.","contributorId":218453,"corporation":false,"usgs":false,"family":"Taylor","given":"C.R.","email":"","affiliations":[{"id":26955,"text":"Sea to Shore Alliance","active":true,"usgs":false}],"preferred":false,"id":769301,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70201364,"text":"70201364 - 2019 - A Bayesian approach to predict sub-annual beach change and recovery","interactions":[],"lastModifiedDate":"2019-01-28T08:33:37","indexId":"70201364","displayToPublicDate":"2018-08-27T14:14:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian approach to predict sub-annual beach change and recovery","docAbstract":"The upper beach, between the astronomical high tide and the dune-toe, supports habitat and recreation along many beaches, making predictions of upper beach change valuable to coastal managers and the public. We developed and tested a Bayesian network (BN) to predict the cross-shore position of an upper beach elevation contour (ZlD) following 1 month to 1-year intervals at Fire Island, New York. We combine hydrodynamic data with series of island-wide topographic data and spatially limited cross-shore profiles. First, we predicted beach configuration of ZlD positions at high spatial resolution (50 m) over intervals spanning 2005–2014. Compared to untrained model predictions, in which all six outcomes are equally likely (prior likelihood = 0.16), our prediction metrics (skill = 0.52; log likelihood ratio = 0.14; accuracy = 0.56) indicate the BN confidently predicts upper beach dynamics. Next, the BN forecasted three intervals of beach recovery following Hurricane Sandy. Results suggest the pre-Sandy training data is sufficiently robust to require only periodic updates to beach slope observations to maintain confidence for forecasts. Finally, we varied input data, using observations collected at a range of temporal (1–12 months) and spatial (50 m to > 1 km) resolutions to evaluate model skill. This experiment shows that data collection techniques with different spatial and temporal frequencies can be used to inform a single modeling framework and can provide insight to BN training requirements. Overall, results indicate that BNs and inputs can be developed for broad coastal change assessment or tailored to a set of predictive requirements, making this methodology applicable to a variety of coastal prediction scenarios.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0444-1","usgsCitation":"Wilson, K., Lentz, E.E., Miselis, J.L., Safak, I., and Brenner, O.T., 2019, A Bayesian approach to predict sub-annual beach change and recovery: Estuaries and Coasts, v. 42, no. 1, p. 112-131, https://doi.org/10.1007/s12237-018-0444-1.","productDescription":"20 p.","startPage":"112","endPage":"131","ipdsId":"IP-088528","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":360174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-27","publicationStatus":"PW","scienceBaseUri":"5c10a953e4b034bf6a7e514b","contributors":{"authors":[{"text":"Wilson, Kathleen 0000-0002-2810-7585 kwilson@usgs.gov","orcid":"https://orcid.org/0000-0002-2810-7585","contributorId":195620,"corporation":false,"usgs":true,"family":"Wilson","given":"Kathleen","email":"kwilson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Safak, Ilgar 0000-0001-7675-0770 isafak@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-0770","contributorId":5522,"corporation":false,"usgs":true,"family":"Safak","given":"Ilgar","email":"isafak@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenner, Owen T. 0000-0002-1588-721X obrenner@usgs.gov","orcid":"https://orcid.org/0000-0002-1588-721X","contributorId":4933,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","email":"obrenner@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753817,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203265,"text":"70203265 - 2019 - A comparison of methods for streamflow uncertainty estimation","interactions":[],"lastModifiedDate":"2019-05-02T08:45:15","indexId":"70203265","displayToPublicDate":"2018-08-21T07:20:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of methods for streamflow uncertainty estimation","docAbstract":"Streamflow time series are commonly derived from stage‐discharge rating curves, but the uncertainty of the rating curve and resulting streamflow series are poorly understood. While different methods to quantify uncertainty in the stage‐discharge relationship exist, there is limited understanding of how uncertainty estimates differ between methods due to different assumptions and methodological choices. We compared uncertainty estimates and stage‐discharge rating curves from seven methods at three river locations of varying hydraulic complexity. Comparison of the estimated uncertainties revealed a wide range of estimates, particularly for high and low flows. At the simplest site on the Isère River (France), full width 95% uncertainties for the different methods ranged from 3 to 17% for median flows. In contrast, uncertainties were much higher and ranged from 41 to 200% for high flows in an extrapolated section of the rating curve at the Mahurangi River (New Zealand) and 28 to 101% for low flows at the Taf River (United Kingdom), where the hydraulic control is unstable at low flows. Differences between methods result from differences in the sources of uncertainty considered, differences in the handling of the time‐varying nature of rating curves, differences in the extent of hydraulic knowledge assumed, and differences in assumptions when extrapolating rating curves above or below the observed gaugings. Ultimately, the selection of an uncertainty method requires a match between user requirements and the assumptions made by the uncertainty method. Given the significant differences in uncertainty estimates between methods, we suggest that a clear statement of uncertainty assumptions be presented alongside streamflow uncertainty estimates.
Accelerating sea-level rise and human impacts to the coast (e.g., altered sediment supply and hydrology, nutrient loading) influence the accumulation of sediment and organic matter, and thereby impact the ability of coastal tidal wetlands to maintain an elevation consistently within the vegetation growth range. Critical components of marsh sustainability are the marsh elevation within the vegetation growth range (elevation capital) and the rates of marsh surface elevation change and relative sea-level rise. The relationship among these factors and their combined influence on marsh integrity were evaluated by comparing trends in surface elevation change on five salt marsh sites located on three marsh islands in Jamaica Bay, NY, USA. All marsh sites were located in a similar physical setting (i.e., tidal range, sea-level rise rate, sediment supply). The structural integrity of the marshes ranged from densely vegetated (high integrity) to severely deteriorated (low integrity) with elevation capital ranging from high to low, respectively, and included a deteriorating marsh site that was partially restored. Two marshes with high elevation capital maintained their relative position high within the tidal range through a combination of surface sediment deposition and shallow subsurface expansion, and kept pace with local sea-level rise. A marsh with moderate elevation capital showed signs of flooding stress and was deteriorating, but managed to keep pace with local sea-level rise. The deteriorated marsh gained no elevation over the 14-year study and was located too low within the tidal range to support continuous coverage of salt marsh vegetation. Elevation gain in the restored marsh initially lagged behind sea-level rise for 8 years, but the elevation trend recovered and kept pace with sea-level rise for the last 5 years. A conceptual model is presented that describes the relationship among elevation capital, and rates of marsh elevation gain and sea-level rise. Note that a search for factors influencing wetland loss should focus on process changes to marsh vertical development (e.g., sediment supply, vegetation growth) and climate change effects (e.g., sea-level and temperature rise) that can cause elevation gain to lag behind sea-level rise, and these occur prior to the onset of marsh deterioration.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0448-x","usgsCitation":"Cahoon, D.R., Lynch, J.C., Roman, C.T., Schmit, J.P., and Skidds, D.E., 2019, Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability: Estuaries and Coasts, v. 42, no. 1, p. 1-15, https://doi.org/10.1007/s12237-018-0448-x.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-096276","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/nrs_facpubs/709","text":"External Repository"},{"id":362801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"New York","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.84151458740234,\n 40.582149150701824\n ],\n [\n -73.81061553955078,\n 40.59283882963389\n ],\n [\n -73.80769729614256,\n 40.59518511581991\n ],\n [\n -73.80392074584961,\n 40.59870439072082\n ],\n [\n -73.79344940185547,\n 40.60026845343403\n ],\n [\n -73.7867546081543,\n 40.603526799885884\n ],\n [\n -73.77971649169922,\n 40.60952174235882\n ],\n [\n -73.77662658691406,\n 40.60991269818888\n ],\n [\n -73.77370834350586,\n 40.6113461833302\n ],\n [\n -73.77370834350586,\n 40.61434337107406\n ],\n [\n -73.7706184387207,\n 40.61577676116552\n ],\n [\n -73.76976013183594,\n 40.61916465186328\n ],\n [\n -73.77182006835938,\n 40.62020704520565\n ],\n [\n -73.77147674560547,\n 40.62372500264782\n ],\n [\n -73.7790298461914,\n 40.626851920384546\n ],\n [\n -73.7845230102539,\n 40.620467640999685\n ],\n [\n -73.7896728515625,\n 40.62294325033922\n ],\n [\n -73.78229141235352,\n 40.629066731872335\n ],\n [\n -73.78555297851562,\n 40.63206312461566\n ],\n [\n -73.80718231201172,\n 40.64183303643057\n ],\n [\n -73.82211685180664,\n 40.64847575977723\n ],\n [\n -73.83121490478516,\n 40.6479547857615\n ],\n [\n -73.8394546508789,\n 40.645089355976346\n ],\n [\n -73.85644912719727,\n 40.64378684722198\n ],\n [\n -73.86468887329102,\n 40.64079098062354\n ],\n [\n -73.87619018554688,\n 40.636101528180916\n ],\n [\n -73.88700485229492,\n 40.62763362694414\n ],\n [\n -73.89558792114258,\n 40.621510014009715\n ],\n [\n -73.89610290527344,\n 40.614603989741646\n ],\n [\n -73.89078140258789,\n 40.61304026248742\n ],\n [\n -73.88992309570311,\n 40.61082491956405\n ],\n [\n -73.88923645019531,\n 40.605872710982545\n ],\n [\n -73.88254165649414,\n 40.60548173151777\n ],\n [\n -73.88236999511719,\n 40.60313580669792\n ],\n [\n -73.87876510620117,\n 40.58971031997794\n ],\n [\n -73.87653350830078,\n 40.584365444045716\n ],\n [\n -73.87910842895508,\n 40.580454288594815\n ],\n [\n -73.88666152954102,\n 40.577194817692025\n ],\n [\n -73.88099670410156,\n 40.56937143958841\n ],\n [\n -73.87344360351562,\n 40.57224011776902\n ],\n [\n -73.86228561401366,\n 40.57758596258557\n ],\n [\n -73.85112762451172,\n 40.582149150701824\n ],\n [\n -73.84151458740234,\n 40.582149150701824\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, James C.","contributorId":179352,"corporation":false,"usgs":false,"family":"Lynch","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":760501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roman, Charles T.","contributorId":214654,"corporation":false,"usgs":false,"family":"Roman","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":760502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmit, John Paul","contributorId":214655,"corporation":false,"usgs":false,"family":"Schmit","given":"John","email":"","middleInitial":"Paul","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":760503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skidds, Dennis E.","contributorId":202237,"corporation":false,"usgs":false,"family":"Skidds","given":"Dennis","email":"","middleInitial":"E.","affiliations":[{"id":36381,"text":"National Park Service Northeast Coastal and Barrier Network","active":true,"usgs":false}],"preferred":false,"id":760504,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203655,"text":"70203655 - 2019 - Modeling golden eagle‐vehicle collisions to design mitigation strategies","interactions":[],"lastModifiedDate":"2019-05-30T15:13:10","indexId":"70203655","displayToPublicDate":"2018-08-16T15:10:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling golden eagle‐vehicle collisions to design mitigation strategies","docAbstract":"The incidental take of golden eagles (Aquila chrysaetos) as a result of wind energy development requires some form of compensatory mitigation. Although several options have been proposed, only one has been formerly accepted and implemented, and the lack of options can limit the permit process for wind facilities. We developed a model to estimate numbers of golden eagles that die when struck by vehicles when eagles scavenge road kill to evaluate removal of road‐killed carcasses as an additional mitigation option. Our model estimates vehicle collision rates as a function of eagle densities, road traffic volume, and animal carcass abundance at the scale of a Wyoming, USA, county during fall‐winter, and quantifies the effects of different mitigation strategies, including estimates of uncertainty. We evaluated the plausibility of our model estimates by predicting mortality rates for each county in Wyoming and comparing overall state mortality to current estimates of mortality using derived estimates from expert judgment. We also developed a context‐dependent analysis of potential mitigation credits controlling for carcass number, traffic volume, and background carcass removals. We found that mitigation credit should be highest in areas with greatest number of carcasses. Collision mitigation is a potentially useful addition to the mitigation toolbox for wind energy development or other activities that need to offset predicted golden eagle mortality and satisfy incidental take permit requirements.
Spatial and temporal variability in factors influencing mangrove establishment and survival affects the distribution of mangrove, particularly near their latitudinal limit, where mangrove expansion into saltmarsh is conspicuous. In this paper the spatial variability in mangrove distribution and variability in factors influencing mangrove establishment and survival during the Quaternary period are reviewed, focussing on research at latitudinal limits in Australia and mainland USA. Despite similarities in the response of mangrove to some drivers, the expression of these drivers is both spatially and temporally variable, demonstrating the need for analyses of mangrove-saltmarsh dynamics to move beyond generalisations and incorporate regional and local-scale specificity. We propose i) that precursory recognition that ‘correlation does not mean causation’ is inadequate and assumptions, caveats, and limitations should be clearly articulated in correlative studies; ii) experimental design in manipulative experiments must also articulate the spatial and temporal scale to which the analysis is relevant; and iii) analyses that draw from a range of methods will provide greater confidence. Integrated research programs that transect spatial and temporal scales and incorporate a range of techniques are essential to improve projections. Mangrove-saltmarsh distribution research should move beyond simple models that assume equilibrium between realised and fundamental niches.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1067-9","usgsCitation":"Rogers, K., and Krauss, K.W., 2019, Moving from generalisations to specificity about mangrove-saltmarsh dynamics: Wetlands, v. 39, p. 1155-1178, https://doi.org/10.1007/s13157-018-1067-9.","productDescription":"24 p.","startPage":"1155","endPage":"1178","ipdsId":"IP-087732","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":490052,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Moving_from_Generalisations_to_Specificity_about_Mangrove_-Saltmarsh_Dynamics/27781029","text":"External Repository"},{"id":356443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-06","publicationStatus":"PW","scienceBaseUri":"5b98a288e4b0702d0e842f41","contributors":{"authors":[{"text":"Rogers, Kerrylee","contributorId":64151,"corporation":false,"usgs":false,"family":"Rogers","given":"Kerrylee","email":"","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":742384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":742383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205016,"text":"70205016 - 2019 - Airborne bacteria in Earth’s lower stratosphere resemble taxa detected in the troposphere: results from a new NASA aircraft bioaerosol collector (ABC)","interactions":[],"lastModifiedDate":"2023-11-27T14:47:05.833799","indexId":"70205016","displayToPublicDate":"2018-08-14T10:58:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Airborne bacteria in Earth’s lower stratosphere resemble taxa detected in the troposphere: results from a new NASA aircraft bioaerosol collector (ABC)","docAbstract":"Airborne microorganisms in the upper troposphere and lower stratosphere remain elusive due to a lack of reliable sample collection systems. To address this problem, we designed, installed, and flight-validated a novel Aircraft Bioaerosol Collector (ABC) for NASA's C-20A that can make collections for microbiological research investigations up to altitudes of 13.7 km. Herein we report results from the first set of science flights—four consecutive missions flown over the United States (US) from 30 October to 2 November, 2017. To ascertain how the concentration of airborne bacteria changed across the tropopause, we collected air during aircraft Ascent/Descent (0.3 to 11 km), as well as sustained Cruise altitudes in the lower stratosphere (~12 km). Bioaerosols were captured on DNA-treated gelatinous filters inside a cascade air sampler, then analyzed with molecular and culture-based characterization. Several viable bacterial isolates were recovered from flight altitudes, including Bacillus sp., Micrococcus sp., Arthrobacter sp., and Staphylococcus sp. from Cruise samples and Brachybacterium sp. from Ascent/Descent samples. Using 16S V4 sequencing methods for a culture-independent analysis of bacteria, the average number of total OTUs was 305 for Cruise samples and 276 for Ascent/Descent samples. Some taxa were more abundant in the flight samples than the ground samples, including OTUs from families Lachnospiraceae, Ruminococcaceae and Erysipelotrichaceae as well as the following genera: Clostridium, Mogibacterium, Corynebacterium, Bacteroides, Prevotella, Pseudomonas, and Parabacteroides. Surprisingly, our results revealed a homogeneous distribution of bacteria in the atmosphere up to 12 km. The observation could be due to atmospheric conditions producing similar background aerosols across the western US, as suggested by modeled back trajectories and satellite measurements. However, the influence of aircraft-associated bacterial contaminants could not be fully eliminated and that background signal was reported throughout our dataset. Considering the tremendous engineering challenge of collecting biomass at extreme altitudes where contamination from flight hardware remains an ever-present issue, we note the utility of using the stratosphere as a proving ground for planned life detection missions across the solar system.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2018.01752","usgsCitation":"David J. Smith, Ravichandar, J.D., Jain, S., Griffin, D.W., Yu, H., Tan, Q., Thissen, J., Lusby, T., Nicoll, P., Shedler, S., Martinez, P., Osorio, A., Lechniak, J., Choi, S., Sabino, K., Iverson, K., Chan, L., Jaing, C., and McGrath, J., 2019, Airborne bacteria in Earth’s lower stratosphere resemble taxa detected in the troposphere: results from a new NASA aircraft bioaerosol collector (ABC): Frontiers in Microbiology, v. 9, 1752, 20 p., https://doi.org/10.3389/fmicb.2018.01752.","productDescription":"1752, 20 p.","ipdsId":"IP-097097","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468111,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2018.01752","text":"Publisher Index Page"},{"id":367005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.51904296875,\n 32.63937487360669\n ],\n [\n -111.0498046875,\n 32.63937487360669\n ],\n [\n -111.0498046875,\n 41.52502957323801\n ],\n [\n -124.51904296875,\n 41.52502957323801\n ],\n [\n -124.51904296875,\n 32.63937487360669\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"David J. Smith","contributorId":218567,"corporation":false,"usgs":false,"family":"David J. Smith","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":769561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ravichandar, Jayamary D.","contributorId":218577,"corporation":false,"usgs":false,"family":"Ravichandar","given":"Jayamary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":769562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jain, Sunit","contributorId":218578,"corporation":false,"usgs":false,"family":"Jain","given":"Sunit","email":"","affiliations":[],"preferred":false,"id":769563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yu, Hongbin","contributorId":218579,"corporation":false,"usgs":false,"family":"Yu","given":"Hongbin","email":"","affiliations":[],"preferred":false,"id":769564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tan, Qian","contributorId":218580,"corporation":false,"usgs":false,"family":"Tan","given":"Qian","email":"","affiliations":[],"preferred":false,"id":769565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thissen, James","contributorId":218581,"corporation":false,"usgs":false,"family":"Thissen","given":"James","email":"","affiliations":[],"preferred":false,"id":769606,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lusby, Terry","contributorId":218582,"corporation":false,"usgs":false,"family":"Lusby","given":"Terry","email":"","affiliations":[],"preferred":false,"id":769577,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nicoll, Patrick","contributorId":218583,"corporation":false,"usgs":false,"family":"Nicoll","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":769566,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shedler, Sarah","contributorId":218584,"corporation":false,"usgs":false,"family":"Shedler","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":769567,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Martinez, P.","contributorId":38706,"corporation":false,"usgs":true,"family":"Martinez","given":"P.","email":"","affiliations":[],"preferred":false,"id":769568,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Osorio, Alejandro","contributorId":218585,"corporation":false,"usgs":false,"family":"Osorio","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":769569,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lechniak, Jason","contributorId":218586,"corporation":false,"usgs":false,"family":"Lechniak","given":"Jason","email":"","affiliations":[],"preferred":false,"id":769570,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Choi, Samuel","contributorId":218587,"corporation":false,"usgs":false,"family":"Choi","given":"Samuel","email":"","affiliations":[],"preferred":false,"id":769571,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sabino, Kayleen","contributorId":218588,"corporation":false,"usgs":false,"family":"Sabino","given":"Kayleen","email":"","affiliations":[],"preferred":false,"id":769572,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Iverson, Kathryn","contributorId":218589,"corporation":false,"usgs":false,"family":"Iverson","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":769573,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Chan, Luisa","contributorId":218590,"corporation":false,"usgs":false,"family":"Chan","given":"Luisa","email":"","affiliations":[],"preferred":false,"id":769574,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Jaing, Crystal","contributorId":218591,"corporation":false,"usgs":false,"family":"Jaing","given":"Crystal","email":"","affiliations":[],"preferred":false,"id":769575,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McGrath, John","contributorId":218592,"corporation":false,"usgs":false,"family":"McGrath","given":"John","email":"","affiliations":[],"preferred":false,"id":769576,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70204440,"text":"70204440 - 2019 - Landscape structure and temporal dynamic effects on Wintering Mallard abundance and distributions in the Mississippi alluvial valley","interactions":[],"lastModifiedDate":"2019-07-26T10:25:40","indexId":"70204440","displayToPublicDate":"2018-08-01T12:54:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape structure and temporal dynamic effects on Wintering Mallard abundance and distributions in the Mississippi alluvial valley","docAbstract":"Context Management of wintering waterfowl in North America requires adaptability because constant landscape and environmental change challenges existing management strategies regarding waterfowl habitat use at large spatial scales. Migratory waterfowl including mallards (Anas platyrhynchos) use the lower Mississippi Alluvial Valley (MAV) for wintering habitat, making this an important area of emphasis for improving wetland conservation strategies, while enhancing the understanding of landscape-use patterns.\nObjectives We used aerial survey data collected in the Arkansas portion of the MAV (ARMAV) to explain the abundance and distribution of mallards in relation to variable landscape conditions.\nMethods We used two-stage, hierarchical spatio-temporal models with a random spatial effect to identify covariates related to changes in mallard abundance and distribution within and among years.\nResults We found distinct spatio-temporal patterns existed for mallard distributions across the ARMAV and these distributions are dependent on the surrounding landscape structure and changing environmental conditions. Models performing best indicated seasonal surface water extent, rice field, wetland and fallow (uncultivated) field abundance positively influenced mallard distribution. Rice fields, surface water and weather were found to influence mallard abundance. Additionally, are results suggest weather and changing surface water affects mallard presence and abundance throughout the winter, because the probability of mallard presence and abundance changed from the northern ARMAV in November to the southern ARMAV in January. \nConclusions Using novel datasets to identify which environmental factors drive changes in regional wildlife distribution and abundance can improve management by providing managers additional information to manage land over landscapes spanning private and public lands. We suggest our analytical approach may be informative in other areas and for other wildlife species.","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0671-7","usgsCitation":"Herbert, J.A., Chakraborty, A., Naylor, L.W., Beattty, W.S., and Krementz, D.G., 2019, Landscape structure and temporal dynamic effects on Wintering Mallard abundance and distributions in the Mississippi alluvial valley: Landscape Ecology, v. 33, no. 8, p. 1319-1334, https://doi.org/10.1007/s10980-018-0671-7.","productDescription":"16 p.","startPage":"1319","endPage":"1334","ipdsId":"IP-083954","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":365952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-94.042964,33.019219],[-94.043428,33.551425],[-94.061896,33.549764],[-94.072156,33.553864],[-94.073744,33.558285],[-94.067985,33.560961],[-94.056442,33.560998],[-94.056096,33.567252],[-94.082641,33.575492],[-94.119902,33.566999],[-94.126898,33.550647],[-94.131382,33.552934],[-94.136046,33.571388],[-94.143402,33.565505],[-94.151456,33.568387],[-94.14216,33.58139],[-94.156782,33.575749],[-94.161277,33.579271],[-94.161082,33.587972],[-94.183913,33.594682],[-94.194465,33.582886],[-94.217198,33.580737],[-94.211329,33.573774],[-94.201106,33.575851],[-94.192483,33.570425],[-94.189884,33.562454],[-94.196395,33.555123],[-94.203594,33.566546],[-94.208078,33.566911],[-94.226392,33.552912],[-94.250197,33.556765],[-94.251108,33.56528],[-94.236836,33.580914],[-94.240179,33.589536],[-94.257801,33.582508],[-94.27909,33.557026],[-94.290901,33.558872],[-94.290372,33.567905],[-94.280849,33.577187],[-94.287025,33.58241],[-94.301023,33.573022],[-94.309582,33.551673],[-94.319492,33.548864],[-94.33059,33.552692],[-94.33438,33.562536],[-94.344023,33.567824],[-94.352433,33.562172],[-94.34729,33.552197],[-94.355945,33.54318],[-94.381667,33.544035],[-94.399393,33.557077],[-94.397398,33.562314],[-94.378561,33.571329],[-94.382887,33.583268],[-94.403342,33.568424],[-94.412175,33.568691],[-94.430039,33.591124],[-94.439518,33.594154],[-94.449112,33.590894],[-94.471152,33.601588],[-94.469451,33.607316],[-94.452325,33.618817],[-94.462736,33.63091],[-94.448451,33.634497],[-94.448637,33.642766],[-94.459198,33.645146],[-94.464186,33.637655],[-94.485875,33.637867],[-94.45753,34.642961],[-94.431215,35.39429],[-94.617919,36.499414],[-90.152481,36.497952],[-90.158568,36.491574],[-90.15946,36.481343],[-90.142269,36.472138],[-90.152888,36.47093],[-90.1557,36.466103],[-90.14153,36.462993],[-90.137323,36.455411],[-90.133993,36.437906],[-90.143798,36.428483],[-90.139499,36.421457],[-90.13559,36.422897],[-90.138653,36.414547],[-90.131038,36.415069],[-90.109495,36.404073],[-90.080426,36.400763],[-90.064514,36.382085],[-90.066297,36.3593],[-90.077695,36.348478],[-90.075572,36.33404],[-90.081961,36.322097],[-90.069266,36.313152],[-90.06398,36.303038],[-90.0778,36.288349],[-90.075934,36.281485],[-90.083731,36.272332],[-90.114922,36.265595],[-90.118219,36.253491],[-90.124476,36.244198],[-90.129716,36.243235],[-90.126366,36.229367],[-90.14224,36.227522],[-90.15614,36.213706],[-90.179695,36.208262],[-90.199905,36.196848],[-90.204449,36.18694],[-90.21128,36.183392],[-90.220425,36.184764],[-90.23537,36.159153],[-90.231386,36.147348],[-90.235585,36.139474],[-90.266256,36.120559],[-90.293109,36.114368],[-90.29991,36.098236],[-90.319168,36.089976],[-90.320746,36.071326],[-90.333261,36.067504],[-90.337146,36.047754],[-90.347908,36.041939],[-90.351732,36.025347],[-90.37789,35.995683],[-89.733095,36.000608],[-89.719168,35.985976],[-89.719679,35.970939],[-89.714565,35.963034],[-89.652279,35.921462],[-89.644838,35.904351],[-89.64727,35.89492],[-89.665672,35.883301],[-89.677012,35.88572],[-89.688141,35.896946],[-89.714934,35.906247],[-89.741241,35.906749],[-89.768743,35.886663],[-89.773564,35.871697],[-89.769413,35.861558],[-89.704351,35.835726],[-89.701045,35.828227],[-89.706085,35.81826],[-89.734044,35.806174],[-89.765442,35.811214],[-89.781793,35.805084],[-89.799331,35.788503],[-89.799249,35.775439],[-89.821216,35.756716],[-89.846343,35.755732],[-89.877256,35.741369],[-89.909996,35.759396],[-89.956254,35.733386],[-89.955753,35.690621],[-89.931036,35.660044],[-89.898916,35.650904],[-89.886979,35.653637],[-89.878534,35.66482],[-89.864782,35.670385],[-89.851176,35.657432],[-89.856619,35.634444],[-89.894346,35.615535],[-89.910687,35.617536],[-89.945405,35.601611],[-89.956749,35.590511],[-89.95669,35.581426],[-89.941393,35.556555],[-89.910789,35.547515],[-89.910885,35.541072],[-89.903882,35.534175],[-89.911931,35.51741],[-89.919331,35.51387],[-89.951248,35.521866],[-89.956347,35.525594],[-89.958498,35.541703],[-89.989363,35.560043],[-90.02862,35.555249],[-90.039744,35.548041],[-90.050277,35.515275],[-90.043517,35.492298],[-90.018842,35.464816],[-90.031584,35.427662],[-90.04057,35.422925],[-90.056644,35.403786],[-90.041563,35.39662],[-90.044856,35.392964],[-90.054451,35.38965],[-90.069283,35.408306],[-90.062018,35.41518],[-90.070549,35.423291],[-90.074082,35.433983],[-90.067138,35.464833],[-90.085009,35.478835],[-90.107723,35.476935],[-90.114412,35.472467],[-90.129448,35.441931],[-90.169002,35.421853],[-90.179265,35.385194],[-90.166246,35.374745],[-90.13551,35.376668],[-90.146191,35.399468],[-90.143448,35.406671],[-90.130475,35.413745],[-90.112504,35.410153],[-90.09665,35.395257],[-90.074992,35.384152],[-90.087903,35.36327],[-90.110293,35.342786],[-90.103862,35.332405],[-90.109093,35.304987],[-90.139504,35.298828],[-90.149794,35.303288],[-90.158913,35.300637],[-90.168794,35.279088],[-90.152094,35.255989],[-90.140394,35.252289],[-90.105093,35.254288],[-90.07875,35.227806],[-90.074155,35.21707],[-90.07682,35.208817],[-90.088597,35.212376],[-90.096466,35.194848],[-90.116182,35.198498],[-90.117542,35.19057],[-90.092944,35.157228],[-90.066958,35.151839],[-90.065392,35.137691],[-90.08342,35.12167],[-90.100593,35.116691],[-90.142794,35.135091],[-90.165328,35.125228],[-90.176843,35.112088],[-90.181387,35.091401],[-90.195133,35.061793],[-90.196095,35.0374],[-90.209397,35.026546],[-90.256495,35.034493],[-90.263796,35.039593],[-90.295596,35.040093],[-90.309877,35.00975],[-90.309297,34.995694],[-90.296422,34.976346],[-90.250056,34.951196],[-90.244476,34.937596],[-90.244725,34.921031],[-90.250095,34.90732],[-90.313476,34.871698],[-90.302523,34.856471],[-90.307384,34.846195],[-90.323067,34.846391],[-90.34038,34.860357],[-90.414864,34.831846],[-90.428754,34.8414],[-90.430096,34.871212],[-90.436561,34.882731],[-90.459819,34.891946],[-90.479872,34.883264],[-90.483969,34.877176],[-90.483876,34.861333],[-90.456935,34.823383],[-90.47459,34.7932],[-90.453038,34.753352],[-90.452479,34.739898],[-90.469897,34.72703],[-90.488865,34.723731],[-90.501667,34.724236],[-90.518317,34.73279],[-90.520556,34.753388],[-90.505494,34.764568],[-90.501523,34.774795],[-90.514706,34.801768],[-90.522892,34.802265],[-90.53651,34.798572],[-90.544067,34.791159],[-90.54817,34.78189],[-90.542631,34.764396],[-90.543811,34.749277],[-90.563544,34.738671],[-90.568172,34.727384],[-90.565646,34.721053],[-90.538974,34.698783],[-90.471185,34.699066],[-90.462552,34.687576],[-90.466041,34.674312],[-90.5081,34.636682],[-90.532188,34.627487],[-90.547614,34.631656],[-90.554129,34.640871],[-90.552642,34.659707],[-90.539409,34.670902],[-90.538856,34.682463],[-90.549856,34.695478],[-90.555627,34.697946],[-90.567334,34.693371],[-90.588419,34.670963],[-90.583088,34.64361],[-90.587224,34.615732],[-90.570133,34.587457],[-90.545891,34.563257],[-90.540736,34.548085],[-90.545728,34.53775],[-90.578493,34.516296],[-90.588942,34.491097],[-90.585477,34.461247],[-90.56733,34.440383],[-90.566505,34.429528],[-90.571145,34.420319],[-90.613944,34.390723],[-90.658542,34.375705],[-90.655346,34.371846],[-90.666788,34.35582],[-90.666862,34.348569],[-90.657488,34.322231],[-90.661395,34.315398],[-90.669343,34.31302],[-90.686003,34.315771],[-90.693129,34.32257],[-90.691551,34.338618],[-90.68162,34.35291],[-90.683222,34.368817],[-90.712088,34.363805],[-90.750107,34.367919],[-90.765764,34.362109],[-90.767732,34.346872],[-90.744713,34.324872],[-90.74061,34.313469],[-90.743082,34.302257],[-90.765165,34.280524],[-90.802928,34.282465],[-90.828267,34.27365],[-90.836972,34.250104],[-90.840009,34.223077],[-90.847808,34.20653],[-90.87912,34.21545],[-90.89456,34.22438],[-90.905934,34.243529],[-90.929015,34.244541],[-90.936404,34.236698],[-90.93522,34.21905],[-90.916048,34.196916],[-90.887884,34.18198],[-90.8556,34.18688],[-90.816572,34.183023],[-90.808685,34.175878],[-90.810884,34.155903],[-90.825708,34.142011],[-90.847168,34.136884],[-90.86458,34.140555],[-90.894385,34.160953],[-90.91001,34.165508],[-90.9543,34.138498],[-90.958467,34.125105],[-90.946323,34.109374],[-90.918395,34.093054],[-90.882628,34.096615],[-90.870461,34.082739],[-90.887837,34.055403],[-90.886991,34.035094],[-90.89242,34.02686],[-90.942662,34.01805],[-90.970726,34.02162],[-90.987948,34.019038],[-90.979945,34.000106],[-90.961548,33.979945],[-90.967632,33.963324],[-90.983359,33.960186],[-91.000108,33.966428],[-91.01889,34.003151],[-91.042751,33.986811],[-91.075378,33.983586],[-91.087921,33.975335],[-91.089787,33.966004],[-91.084095,33.956179],[-91.035961,33.943758],[-91.010318,33.929352],[-91.026382,33.90798],[-91.070883,33.866714],[-91.073011,33.857449],[-91.067511,33.840443],[-91.046849,33.815365],[-91.000107,33.799549],[-90.988466,33.78453],[-91.000106,33.769165],[-91.023285,33.762991],[-91.053886,33.778701],[-91.107318,33.770619],[-91.123466,33.782106],[-91.132185,33.78342],[-91.145112,33.76734],[-91.141304,33.760835],[-91.146618,33.732456],[-91.132338,33.714246],[-91.117733,33.705342],[-91.101101,33.705007],[-91.06829,33.716477],[-91.059891,33.714816],[-91.046778,33.706313],[-91.03612,33.689113],[-91.030402,33.687766],[-91.03146,33.678142],[-91.046412,33.668272],[-91.078507,33.658283],[-91.09404,33.658351],[-91.13045,33.674522],[-91.160866,33.707096],[-91.212077,33.698249],[-91.225279,33.687749],[-91.229015,33.677543],[-91.219048,33.661503],[-91.178311,33.651109],[-91.139209,33.625658],[-91.130445,33.606034],[-91.134043,33.594489],[-91.152148,33.582721],[-91.175979,33.582968],[-91.198285,33.572061],[-91.224121,33.567369],[-91.230858,33.561372],[-91.232295,33.552788],[-91.219297,33.532364],[-91.187367,33.510552],[-91.182901,33.502379],[-91.206753,33.470308],[-91.231661,33.4571],[-91.235928,33.440611],[-91.206807,33.433846],[-91.177293,33.443638],[-91.16936,33.452629],[-91.177148,33.48617],[-91.167403,33.498304],[-91.125109,33.472842],[-91.117975,33.453807],[-91.131885,33.430063],[-91.17628,33.416979],[-91.199354,33.418321],[-91.209032,33.403633],[-91.171968,33.38103],[-91.140938,33.380477],[-91.113764,33.393124],[-91.099277,33.408244],[-91.095211,33.417488],[-91.096723,33.437603],[-91.086498,33.451576],[-91.067623,33.455104],[-91.057621,33.445341],[-91.058152,33.428705],[-91.075293,33.405966],[-91.101456,33.38719],[-91.120409,33.363809],[-91.142219,33.348989],[-91.141615,33.299539],[-91.125539,33.280255],[-91.128078,33.268502],[-91.118208,33.262071],[-91.106142,33.241799],[-91.1001,33.238125],[-91.096931,33.241628],[-91.086137,33.273652],[-91.07853,33.283306],[-91.067035,33.28718],[-91.052369,33.285415],[-91.043624,33.274636],[-91.050407,33.251202],[-91.070697,33.227302],[-91.091711,33.220813],[-91.084366,33.180856],[-91.089862,33.139655],[-91.104317,33.131598],[-91.131659,33.129101],[-91.150362,33.130695],[-91.160298,33.141216],[-91.183662,33.141691],[-91.193174,33.136734],[-91.20178,33.125121],[-91.200167,33.10693],[-91.180836,33.098364],[-91.171514,33.087818],[-91.149823,33.081603],[-91.121195,33.059166],[-91.129088,33.033554],[-91.162363,33.019684],[-91.166073,33.004106],[-93.081428,33.017928],[-94.042964,33.019219]]]},\"properties\":{\"name\":\"Arkansas\",\"nation\":\"USA \"}}]}","volume":"33","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Herbert, John A.","contributorId":217504,"corporation":false,"usgs":false,"family":"Herbert","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":766916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chakraborty, Avishek","contributorId":217505,"corporation":false,"usgs":false,"family":"Chakraborty","given":"Avishek","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":766917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":766918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beattty, William S.","contributorId":217506,"corporation":false,"usgs":false,"family":"Beattty","given":"William","email":"","middleInitial":"S.","affiliations":[{"id":36209,"text":"U.S. FWS","active":true,"usgs":false}],"preferred":false,"id":766919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":766915,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204460,"text":"70204460 - 2019 - Capture versus tagging impacts on chum salmon freshwater spawning migration travel times","interactions":[],"lastModifiedDate":"2019-07-25T12:03:39","indexId":"70204460","displayToPublicDate":"2018-08-01T12:02:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Capture versus tagging impacts on chum salmon freshwater spawning migration travel times","docAbstract":"The spawning migration travel times of chum salmon, Oncorhynchus keta (Walbaum), fitted with gastrically implanted radio tags vs external spaghetti tags were tested for a short [≈60 river km (rkm)] and long migration route (≈730 rkm) on the Koyukuk River, Alaska, USA. Using a novel application of statistical arrival curve models to infer travel times for uncaptured fish, migrations by chum salmon not directly handled during the study were also assessed. Results demonstrated negligible differences in travel times within migration routes between fish fitted only with spaghetti tags and fish fitted with radio tags, indicating low impacts on migration travel behaviour associated with gastric tags once deployed. Conversely, travel times for unhandled fish as inferred by statistical arrival models may have been 12%–24% shorter than those for fish captured with gillnets for tagging. These results suggest that, if present, chum salmon migration behaviour impacts may be more strongly associated with fish capture than tag deployment.","language":"English","publisher":"Wiley","doi":"10.1111/fme.12294","usgsCitation":"Sethi, S., 2019, Capture versus tagging impacts on chum salmon freshwater spawning migration travel times: Fisheries Management and Ecology, v. 25, no. 4, p. 296-303, https://doi.org/10.1111/fme.12294.","productDescription":"8 p.","startPage":"296","endPage":"303","ipdsId":"IP-084183","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":365940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":767017,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203204,"text":"70203204 - 2019 - Recent advances in environmental flows science and water management—Innovation in the Anthropocene","interactions":[],"lastModifiedDate":"2019-04-29T08:36:56","indexId":"70203204","displayToPublicDate":"2018-08-01T08:36:02","publicationYear":"2019","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":"Recent advances in environmental flows science and water management—Innovation in the Anthropocene","docAbstract":"We studied the consequences of a nonnative species introduction and changes in temperature on early mortality and recruitment of native rainbow smelt (Osmerus mordax) and nonnative alewife (Alosa pseudoharengus) in Lake Champlain using a simulation model. Distribution patterns of adults and young-of-the-year (YOY) fish were predicted using a model based on observed distribution of different age groups as a function of temperature and light profiles simulated on a daily basis. Mortality rates averaged over the growing season were calculated as a function of fish densities and overlap between adults and YOY. Survival of YOY rainbow smelt and alewife depended on which predator was most abundant. Rainbow smelt YOY mortality rates are highest when rainbow smelt adults are abundant, and alewife YOY mortality rates are highest when alewife adults are abundant, potentially allowing coexistence. August and September mortality rates were higher in the climate change scenario because of increased overlap of adults and YOY of both species. These results indicate that accounting for spatiotemporal fish distribution patterns can be important when forecasting the interacting effects of climate change and aquatic invasive species on fish recruitment.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0571","usgsCitation":"Simonin, P.W., Rudstam, L.G., Sullivan, P., Parrish, D.L., and Pientka, B., 2019, Early mortality and freshwater forage fish recruitment: Nonnative alewife and native rainbow smelt interactions in Lake Champlain: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 5, p. 806-814, https://doi.org/10.1139/cjfas-2017-0571.","productDescription":"9 p.","startPage":"806","endPage":"814","ipdsId":"IP-093462","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468114,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2017-0571","text":"External Repository"},{"id":395247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, Quebec, Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.54248046875,\n 43.96909818325171\n ],\n [\n -73.05084228515625,\n 43.96909818325171\n ],\n [\n -73.05084228515625,\n 45.09485258791474\n ],\n [\n -73.54248046875,\n 45.09485258791474\n ],\n [\n -73.54248046875,\n 43.96909818325171\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Simonin, Paul W.","contributorId":171499,"corporation":false,"usgs":false,"family":"Simonin","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":18160,"text":"Rubenstein School of Environment and Natural Resources, University of Vermont","active":true,"usgs":false}],"preferred":false,"id":832436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":832437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Patrick J.","contributorId":97813,"corporation":false,"usgs":true,"family":"Sullivan","given":"Patrick J.","affiliations":[],"preferred":false,"id":832438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pientka, Bernard","contributorId":171500,"corporation":false,"usgs":false,"family":"Pientka","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":832439,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}