Despite decades of regulatory efforts in the United States to decrease vulnerability in developed coastal zones, exposure of residential assets to hurricane damage is increasing — even in places where hurricanes have struck before. Comparing plan-view footprints of individual residential buildings before and long after major hurricane strikes, we find a systematic pattern of ‘building back bigger’ among renovated and new properties.
","language":"English","publisher":"Nature","doi":"10.1038/s41893-018-0185-y","usgsCitation":"Lazarus, E.D., Limber, P.W., Goldstein, E.B., Dodd, R., and Armstrong, S., 2018, Building back bigger in hurricane strike zones: Nature Sustainability, v. 1, p. 759-762, https://doi.org/10.1038/s41893-018-0185-y.","productDescription":"4 p.","startPage":"759","endPage":"762","ipdsId":"IP-090415","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468194,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1038/s41893-018-0185-y>).","text":"External Repository"},{"id":360152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-10","publicationStatus":"PW","scienceBaseUri":"5c10a8e4e4b034bf6a7e4dd2","contributors":{"authors":[{"text":"Lazarus, Eli D. 0000-0003-2404-9661","orcid":"https://orcid.org/0000-0003-2404-9661","contributorId":184209,"corporation":false,"usgs":false,"family":"Lazarus","given":"Eli","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":753514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Evan B. 0000-0001-9358-1016","orcid":"https://orcid.org/0000-0001-9358-1016","contributorId":184210,"corporation":false,"usgs":false,"family":"Goldstein","given":"Evan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":753516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodd, Rosie","contributorId":211271,"corporation":false,"usgs":false,"family":"Dodd","given":"Rosie","email":"","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":753515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Scott B.","contributorId":211368,"corporation":false,"usgs":false,"family":"Armstrong","given":"Scott B.","affiliations":[],"preferred":false,"id":753517,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201265,"text":"70201265 - 2018 - Sex‐specific responses in neuroanatomy of hatchling American kestrels in response to embryonic exposure to the flame retardants bis(2‐ethylhexyl)‐2,3,4,5‐tetrabromophthalate and 2‐ethylhexyl‐2,3,4,5‐tetrabromobenzoate","interactions":[],"lastModifiedDate":"2018-12-10T10:13:17","indexId":"70201265","displayToPublicDate":"2018-12-10T10:13:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Sex‐specific responses in neuroanatomy of hatchling American kestrels in response to embryonic exposure to the flame retardants bis(2‐ethylhexyl)‐2,3,4,5‐tetrabromophthalate and 2‐ethylhexyl‐2,3,4,5‐tetrabromobenzoate","docAbstract":"Bis(2‐ethylhexyl)‐2,3,4,5‐tetrabromophthalate (BEH‐TEBP) and 2‐ethylhexyl‐2,3,4,5‐tetrabromobenzoate (EH‐TBB), flame retardant components of FireMaster 550® and 600® have been detected in tissues of wild birds. To address the paucity of information regarding potential impacts of flame retardants on the brain, brain volume regions of hatchling American kestrels (Falco sparverius) were evaluated following in ovo injection at embryonic day 5 with safflower oil or to 1 of 3 doses of either BEH‐TEBP (13, 64, or 116 μg/g egg) or EH‐TBB (12, 60, or 149 μg/g egg). The doses for both chemicals reflected concentrations reported in wild birds. The volumes of the hippocampus and telencephalon and volumetric differences between left and right hemispheres were measured in hatchlings (embryonic day 28). A sex‐specific effect of BEH‐TEBP on relative hippocampus volume was evident: the hippocampus was significantly enlarged in high‐dose females compared to control females but smaller in low‐dose females than the other females. There was no significant effect of EH‐TBB on hippocampus volume in female kestrel hatchlings or of either chemical in male hatchlings and no effects of these concentrations of EH‐TBB or BEH‐TEBP on telencephalon volume or the level of symmetry between the hemispheres of the brain. In sum, embryonic exposure of female kestrels to these BEH‐TEBP concentrations altered hippocampus volume, having the potential to affect spatial memory relating to ecologically relevant behavior such as prey capture, predator avoidance, and migration.
","language":"English","publisher":"Society of Environmental Toxicology and Chemisty","doi":"10.1002/etc.4238","usgsCitation":"Guigueno, M.F., Karouna-Renier, N., Henry, P.F., Peters, L.E., Palace, V.P., Letcher, R.J., and Fernie, K.J., 2018, Sex‐specific responses in neuroanatomy of hatchling American kestrels in response to embryonic exposure to the flame retardants bis(2‐ethylhexyl)‐2,3,4,5‐tetrabromophthalate and 2‐ethylhexyl‐2,3,4,5‐tetrabromobenzoate: Environmental Toxicology and Chemistry, v. 37, no. 12, p. 3032-3040, https://doi.org/10.1002/etc.4238.","productDescription":"9 p.","startPage":"3032","endPage":"3040","ipdsId":"IP-092888","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"12","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-23","publicationStatus":"PW","scienceBaseUri":"5c0f8979e4b0c53ecb2c71e9","contributors":{"authors":[{"text":"Guigueno, Melanie F.","contributorId":211240,"corporation":false,"usgs":false,"family":"Guigueno","given":"Melanie","email":"","middleInitial":"F.","affiliations":[{"id":37248,"text":"Environment & Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":753419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Lisa E.","contributorId":176211,"corporation":false,"usgs":false,"family":"Peters","given":"Lisa","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":753421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palace, Vince P.","contributorId":176210,"corporation":false,"usgs":false,"family":"Palace","given":"Vince","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":753422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":753423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":753424,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201245,"text":"70201245 - 2018 - Wildlife underpass use and environmental impact assessment: A southern California case study","interactions":[],"lastModifiedDate":"2018-12-10T10:11:21","indexId":"70201245","displayToPublicDate":"2018-12-10T10:11:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5704,"text":"Cities and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife underpass use and environmental impact assessment: A southern California case study","docAbstract":"Environmental planners often rely on transportation structures (i.e., underpasses, bridges) to provide connectivity for animals across developed landscapes. Environmental assessments of predicted environmental impacts from proposed developments often rely on literature reviews or other indirect measures to establish the importance of wildlife crossings. Literature-based evaluations of wildlife crossings may not be accurate, and result in under-estimation of impacts or establishment of inappropriate mitigation measures. To investigate the adequacy of literature-based evaluations, we monitored wildlife use of a freeway underpass that had been identified as critically important to wildlife connectivity, and which was evaluated in an environmental review document. Photographs were obtained from a network of trail cameras over 3 years. Six mid- to large-sized native mammal species used the underpass and two other mammal species were photographed near the underpass but not using it. American badger (Taxidea taxus) was photographed at a higher rate in the underpass than in the surrounding area. Gray fox (Urocyon cinereoargenteus) was rarely detected in the underpass relative to surrounding habitats, whereas the absence of mule deer (Odocoileus hemionus) in the underpass was unexpected, given relatively frequent detection in adjacent habitats. These results differed from the environmental assessment in that American badger was listed as \"potentially\" present while mule deer were expected to use the underpass. Results underscore importance of gathering data to document wildlife use of corridors, because some species do not or rarely take advantage of apparently suitable corridors, while others may be present when assumed to be absent.
","language":"English","publisher":"Loyola Marymount University","usgsCitation":"Longcore, T., Almaleh, L., Chetty, B., Francis, K., Freidin, R., Huang, C., Pickett, B., Schreck, D., Scruggs, B., Shulman, E., Swauger, A., Tashnek, A., Wright, M., and Boydston, E.E., 2018, Wildlife underpass use and environmental impact assessment: A southern California case study: Cities and the Environment, v. 11, no. 1, Article 4; 15 p.","productDescription":"Article 4; 15 p.","ipdsId":"IP-055382","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":360087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360075,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.lmu.edu/cate/vol11/iss1/4"}],"country":"United States","state":"California","county":"Los Angeles County","city":"Santa Clarita","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.51286888122557,\n 34.33698684186147\n ],\n [\n -118.50239753723143,\n 34.33698684186147\n ],\n [\n -118.50239753723143,\n 34.36263906919103\n ],\n [\n -118.51286888122557,\n 34.36263906919103\n ],\n [\n -118.51286888122557,\n 34.33698684186147\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f897ae4b0c53ecb2c71ec","contributors":{"authors":[{"text":"Longcore, Travis","contributorId":211204,"corporation":false,"usgs":false,"family":"Longcore","given":"Travis","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":753398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Almaleh, Lindsay","contributorId":211205,"corporation":false,"usgs":false,"family":"Almaleh","given":"Lindsay","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chetty, Brittany","contributorId":211206,"corporation":false,"usgs":false,"family":"Chetty","given":"Brittany","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Francis, Kathryn","contributorId":211207,"corporation":false,"usgs":false,"family":"Francis","given":"Kathryn","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freidin, Robert","contributorId":211208,"corporation":false,"usgs":false,"family":"Freidin","given":"Robert","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753402,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huang, Ching-Sheng","contributorId":211209,"corporation":false,"usgs":false,"family":"Huang","given":"Ching-Sheng","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753403,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pickett, Brooke","contributorId":211210,"corporation":false,"usgs":false,"family":"Pickett","given":"Brooke","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753404,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schreck, Diane","contributorId":211211,"corporation":false,"usgs":false,"family":"Schreck","given":"Diane","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753405,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scruggs, Brooke","contributorId":211212,"corporation":false,"usgs":false,"family":"Scruggs","given":"Brooke","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753406,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shulman, Elise","contributorId":211213,"corporation":false,"usgs":false,"family":"Shulman","given":"Elise","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753407,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Swauger, Alissa","contributorId":211214,"corporation":false,"usgs":false,"family":"Swauger","given":"Alissa","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753408,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tashnek, Alison","contributorId":211215,"corporation":false,"usgs":false,"family":"Tashnek","given":"Alison","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753409,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wright, Michael","contributorId":211248,"corporation":false,"usgs":false,"family":"Wright","given":"Michael","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753410,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":753397,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70201252,"text":"70201252 - 2018 - Canid vs. canid: Insights into coyote–dog encounters from social media","interactions":[],"lastModifiedDate":"2020-12-16T14:47:04.189483","indexId":"70201252","displayToPublicDate":"2018-12-10T10:05:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1914,"text":"Human-Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Canid vs. canid: Insights into coyote–dog encounters from social media","docAbstract":"While the relationship between coyotes (Canis latrans) and house cats (Felis catus) may be characterized as one between predators and their prey, coyote interactions with domestic dogs (C. lupus familiaris) appear to be more varied and may include behaviors associated with canid sociality. While encounters between coyotes and dogs are difficult to observe, we capitalized on publicly available video recordings of coyote-dog encounters to observe canid behaviors and examined 35 video clips downloaded from YouTube during fall 2014. We identified coyote-dog interactions that were playful, agonistic, or predatory; those that we could not clearly categorize were labeled as other/undetermined. We found that both species were recorded directing play to the other species, which led to mutual play bouts. We observed a similar number of agonistic encounters, which included dogs biting coyotes and coyotes biting dogs. The main difference in agonistic behavior was that coyotes usually showed defensive aggression while dogs did not show defensive aggression. We also observed coyotes ambushing and bite-shaking small dogs in 3 video clips, from which the dogs escaped, but we did not see predatory behavior of dogs towards coyotes. Dog size may be related to types of interactions. No small dogs were involved in agonistic interactions, and only 1 small dog was observed playing with a coyote. From these videos, we conclude that the relationship between coyotes and dogs cannot be simply described as predator-prey; indeed, much of it appears to be social behavior divided between playful and agonistic. Future work that aims to explain the proximate correlates of play and aggression would provide more information for managers who wish to educate humans to reduce wildlife-human-dog conflicts.
","language":"English","publisher":"Utah State University- Berryman Institute","doi":"10.26077/ab4z-t030","usgsCitation":"Boydston, E.E., Abelson, E.S., Kazanjian, A., and Blumstein, D.T., 2018, Canid vs. canid: Insights into coyote–dog encounters from social media: Human-Wildlife Interactions, v. 12, no. 2, p. 233-242, https://doi.org/10.26077/ab4z-t030.","productDescription":"10 p.","startPage":"233","endPage":"242","ipdsId":"IP-091201","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":360086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f897ae4b0c53ecb2c71f0","contributors":{"authors":[{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":753413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abelson, Eric S.","contributorId":211227,"corporation":false,"usgs":false,"family":"Abelson","given":"Eric","email":"","middleInitial":"S.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":753414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kazanjian, Ari","contributorId":211228,"corporation":false,"usgs":false,"family":"Kazanjian","given":"Ari","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":753415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blumstein, Daniel T.","contributorId":150453,"corporation":false,"usgs":false,"family":"Blumstein","given":"Daniel","email":"","middleInitial":"T.","affiliations":[{"id":18023,"text":"Ecology and Evolutionary Biology, UCLA","active":true,"usgs":false}],"preferred":false,"id":753416,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201268,"text":"70201268 - 2018 - Eco‐evolutionary rescue promotes host–pathogen coexistence","interactions":[],"lastModifiedDate":"2018-12-10T10:02:08","indexId":"70201268","displayToPublicDate":"2018-12-10T10:02:05","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Eco‐evolutionary rescue promotes host–pathogen coexistence","docAbstract":"Emerging infectious pathogens are responsible for some of the most severe host mass mortality events in wild populations. Yet, effective pathogen control strategies are notoriously difficult to identify, in part because quantifying and forecasting pathogen spread and disease dynamics is challenging. Following an outbreak, hosts must cope with the presence of the pathogen, leading to host–pathogen coexistence or extirpation. Despite decades of research, little is known about host–pathogen coexistence post‐outbreak when low host abundances and cryptic species make these interactions difficult to study. Using a novel disease‐structured N‐mixture model, we evaluate empirical support for three host–pathogen coexistence hypotheses (source–sink, eco‐evolutionary rescue, and spatial variation in pathogen transmission) in a Neotropical amphibian community decimated by Batrachochytrium dendrobatidis (Bd) in 2004. During 2010–2014, we surveyed amphibians in Parque Nacional G. D. Omar Torríjos Herrera, Coclé Province, El Copé, Panama. We found that the primary driver of host–pathogen coexistence was eco‐evolutionary rescue, as evidenced by similar amphibian survival and recruitment rates between infected and uninfected hosts. Average apparent monthly survival rates of uninfected and infected hosts were both close to 96%, and the expected number of uninfected and infected hosts recruited (via immigration/reproduction) was less than one host per disease state per 20‐m site. The secondary driver of host–pathogen coexistence was spatial variation in pathogen transmission as we found that transmission was highest in areas of low abundance but there was no support for the source–sink hypothesis. Our results indicate that changes in the host community (i.e., through genetic or species composition) can reduce the impacts of emerging infectious disease post‐outbreak. Our disease‐structured N‐mixture model represents a valuable advancement for conservation managers trying to understand underlying host–pathogen interactions and provides new opportunities to study disease dynamics in remnant host populations decimated by virulent pathogens.
","language":"English","publisher":"ESA","doi":"10.1002/eap.1792","usgsCitation":"DiRenzo, G.V., Zipkin, E.F., Campbell Grant, E.H., Royle, J.A., Longo, A.V., Zamudio, K.R., and Lips, K.R., 2018, Eco‐evolutionary rescue promotes host–pathogen coexistence: Ecological Applications, v. 28, no. 8, p. 1948-1962, https://doi.org/10.1002/eap.1792.","productDescription":"15 p.","startPage":"1948","endPage":"1962","ipdsId":"IP-082685","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.1792","text":"Publisher Index Page"},{"id":360085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-03","publicationStatus":"PW","scienceBaseUri":"5c0f897ae4b0c53ecb2c71f3","contributors":{"authors":[{"text":"DiRenzo, Graziella V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":753432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":753433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Longo, Ana V.","contributorId":202587,"corporation":false,"usgs":false,"family":"Longo","given":"Ana","email":"","middleInitial":"V.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":753435,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zamudio, Kelly R.","contributorId":8320,"corporation":false,"usgs":true,"family":"Zamudio","given":"Kelly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":753436,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lips, Karen R.","contributorId":26258,"corporation":false,"usgs":true,"family":"Lips","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":753437,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216176,"text":"70216176 - 2018 - Raptor selection of captive reared and released Galliform birds","interactions":[],"lastModifiedDate":"2020-11-09T15:16:17.115954","indexId":"70216176","displayToPublicDate":"2018-12-10T09:13:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Raptor selection of captive reared and released Galliform birds","docAbstract":"Captive rearing and release of birds in the order Galliformes remains a popular management tactic despite low survival rates. We investigated avian predator selection of captive‐reared northern bobwhites (Colinus virginianus) as a potential driver of their high mortality. We simulated avian predator hunts on a flushing pair of bobwhites during trials conducted from 6 February 2015 to 14 February 2015 in Texas, USA. When presented a choice of a captive‐reared bobwhite or wild bobwhite, a Harris's hawk (Parabuteo unicinctus) pursued a captive‐reared bobwhite in 8 of 10 flight trials. This selective rate, combined with observations from auxiliary research indicate avian predation may be a greater risk for captive‐reared birds than wild birds. The success of captive‐rearing and release efforts may benefit from a better understanding of how to more adequately prepare captive‐reared birds for release.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.925","usgsCitation":"Perkins, R., Boal, C.W., and Dabbert, C., 2018, Raptor selection of captive reared and released Galliform birds: Wildlife Society Bulletin, v. 42, no. 4, p. 713-715, https://doi.org/10.1002/wsb.925.","productDescription":"3 p.","startPage":"713","endPage":"715","ipdsId":"IP-094767","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499846,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/dd0cc4e3e57340598c5bf7989ca4d677","text":"External Repository"},{"id":380298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Nolan County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-100.1466,32.5213],[-100.1514,32.1645],[-100.1534,32.082],[-100.2377,32.0823],[-100.6698,32.0838],[-100.6681,32.3327],[-100.6643,32.5259],[-100.1466,32.5213]]]},\"properties\":{\"name\":\"Nolan\",\"state\":\"TX\"}}]}","volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, R.","contributorId":244676,"corporation":false,"usgs":false,"family":"Perkins","given":"R.","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":804360,"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dabbert, C.B.","contributorId":244677,"corporation":false,"usgs":false,"family":"Dabbert","given":"C.B.","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":804361,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204565,"text":"70204565 - 2018 - Will increased storm surge frequency impact food availability for Semipalmated Sandpipers (Calidris pusilla) at the beginning of fall migration?","interactions":[],"lastModifiedDate":"2019-08-05T11:47:16","indexId":"70204565","displayToPublicDate":"2018-12-09T10:29:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"title":"Will increased storm surge frequency impact food availability for Semipalmated Sandpipers (Calidris pusilla) at the beginning of fall migration?","docAbstract":"Hatch-year Semipalmated Sandpipers (Calidris pusilla) use river deltas along the Beaufort Sea as their first stops during fall migration. However, these sites are subject to extreme changes in water levels that affect available foraging habitat. We examined relationships between timing of fall migration and storm surges, with respect to forage availability, using different water level scenarios to predict impacts on food availability for fueling migration at three river deltas. We compared available calories at observed water levels to modeled values derived from changes due to lunar tides (35% decline) and storm surges (58% decline). Peak use by shorebirds varied temporally among sites, while the peak in forage availability occurred late in the season, mismatched with the largest peak in migration at the most used river delta. Shifts in breeding phenology due to climate warming may allow shorebirds to migrate earlier and miss some storm surges, but this may create a mismatch between peak migration and greater food availability. Additionally, changes in climate will likely increase frequency and severity of storm surges that negatively impact availability of foraging habitat for migrant shorebirds.
","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00121","usgsCitation":"Churchwell, R., Kendall, S., Brown, S., and Powell, A., 2018, Will increased storm surge frequency impact food availability for Semipalmated Sandpipers (Calidris pusilla) at the beginning of fall migration?: Wader Study, v. 125, p. 195-204, https://doi.org/10.18194/ws.00121.","productDescription":"10 p.","startPage":"195","endPage":"204","ipdsId":"IP-084979","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":366198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Churchwell, R.T.","contributorId":217823,"corporation":false,"usgs":false,"family":"Churchwell","given":"R.T.","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":767593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, S.","contributorId":217824,"corporation":false,"usgs":false,"family":"Kendall","given":"S.","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":767594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, S.C.","contributorId":217825,"corporation":false,"usgs":false,"family":"Brown","given":"S.C.","email":"","affiliations":[{"id":39696,"text":"Manomet Inc.","active":true,"usgs":false}],"preferred":false,"id":767595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":767592,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216829,"text":"70216829 - 2018 - Projected changes in climate and physical processes","interactions":[],"lastModifiedDate":"2020-12-10T21:49:06.404535","indexId":"70216829","displayToPublicDate":"2018-12-09T09:42:02","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"NRS-181","chapter":"4","title":"Projected changes in climate and physical processes","docAbstract":"In Chapter 3, we examined how climate has changed in the Mid-Atlantic region during the past century. This chapter examines how climate is expected to change during the 21st century, including changes in extreme weather events and other climaterelated processes. General circulation models, also called global climate models (GCMs), are used to project future change at coarse spatial scales and then downscaled in order to be relevant at scales where land management decisions are made. These downscaled data can then be incorporated into forest species distribution models and process models (results are presented in Chapter 5). Chapter 2 more fully describes the models, data sources, and methods used to generate these downscaled projections, as well as the inherent uncertainty in making long-term projections. In Chapter 4, we focus on two climate scenarios for the assessment area, chosen to bracket a range of plausible changes in average annual and seasonal temperatures and precipitation totals. We note, however, that the two models selected here do not necessarily represent the bracketed range in terms of other metrics such as daily maximums and minimums, or extremes. Therefore, readers should exercise caution when interpreting future trends. Information related to future weather extremes and physical processes is drawn from published research.
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,{"id":70203248,"text":"70203248 - 2018 - On the intensity of the magnetic superstorm of September 1909","interactions":[],"lastModifiedDate":"2019-05-02T09:08:58","indexId":"70203248","displayToPublicDate":"2018-12-09T07:30:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"On the intensity of the magnetic superstorm of September 1909","docAbstract":"Analysis is made of solar observations and ground‐based magnetometer data recording space weather before and during the magnetic superstorm of 25 September 1909. From these data, it is inferred that the storm was initiated by an interplanetary coronal‐mass ejection having a mean Sun‐to‐Earth velocity of ~1,679 km/s. The commencement pressure on the magnetopause was ~32.4 nPa, sufficient to compress the subsolar magnetopause radius to ~5.9 Earth radii. Early on in the evolution of the storm, low‐latitude geomagnetic disturbance exhibited extreme longitudinal asymmetry, something that can be attributed to substorm activity extending to low latitudes. For this storm, Dst attained a minimum of −595 nT, comparable to that of the great magnetic storm of March 1989 (−589 nT; the most intense storm in terms of Dst of the space age). These results inform projects focused on understanding and mitigating the deleterious effects of extreme space‐weather events.
The U.S. Geological Survey (USGS) collects a wide range of whole-water samples to test for the many physical and chemical constituents that represent stream conditions at the time of sampling to assess the quality of the Nation’s waters. During sampling efforts, in which a suspended-sediment concentration is one result among a broader suite of constituents, a sample is sometimes composited into a churn splitter and then subdivided for analysis. Five churn splitters—comprising three sizes and two different materials—used by the USGS were tested for single-withdrawal accuracy from one-half of full capacity and for multiple-withdrawal accuracy at varied volumes of fullness to see if churn splitters introduce bias during the collection of sediment samples. Both tests were similar to previously conducted tests for consistency, but the tests conducted in this report also attempted to answer questions that arose during previous evaluations of churn splitters. The purpose of this report is to inform sediment analysts about the capabilities and limitations of all available churn-splitter sizes and materials used by the USGS for the analysis of suspended sediment.
The results indicate that suspended-sediment samples and constituents absorbed into suspended sediment may have substantial bias errors when withdrawn from churn splitters. Results were affected by the settling velocity of sediment particles relative to the resuspension velocities induced by the churning, the effects of prior withdrawals of the water-sediment mixture, and the remaining volume in a churn splitter after samples were withdrawn.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185126","usgsCitation":"Barr, M.N., 2018, Evaluation of whole-water churn splitters for suspended-sediment sample collection and analysis: U.S. Geological Survey Scientific Investigations Report 2018–5126, 25 p., https://doi.org/10.3133/sir20185126.","productDescription":"iv, 25 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-086055","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":359821,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5126/coverthb.jpg"},{"id":359822,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5126/sir20185126.pdf","text":"Report","size":"2.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5126"}],"contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1440 Independence Road
Rolla, MO 65401
The Bi-State Distinct Population Segment (DPS) of greater sage-grouse (Centrocercus urophasianus, hereinafter “sage-grouse”) occupies parts of Alpine, Mono, and Inyo Counties in California, and parts of Douglas, Esmeralda, Lyon, Carson City, and Mineral Counties in Nevada and was proposed for listing as threatened under the Endangered Species Act (ESA) by the U.S. Fish and Wildlife Service (USFWS) in October 2013. In April 2015, the USFWS determined that the Bi-State DPS did not warrant listing under the ESA, but monitoring continued for assessment of long-term population stability (U.S. Fish and Wildlife Service, 2015a). Threats to this population include geographic isolation, expansion of single-leaf pinyon (Pinus monophylla) and Utah juniper (Juniperus osteosperma), anthropogenic activities, changes in historical wildfire cycles and the conversion of native shrubs to invasive annual grasslands, and recent changes in predator communities. As part of a broad long-term monitoring program, we used an integrated population model to estimate finite rate of population change (λ) of each subpopulation within the Bi-State DPS from 2003 to 2017. Since 2012, the Bi-State DPS experienced multiple years of drought conditions associated with periods of population decline across multiple populations. The 14-year average (λ) for the Bi-State DPS is 0.98 (95 percent CRI=0.70–1.31). Three subpopulations (Mount Grant, Fales, Bodie Hills) showed continued evidence of stability and growth as the average λ exceeded 1.0. Moreover, we implemented the first year of an experimental pre-nesting female and brood translocation program to bolster a critically low population of sage-grouse in Parker Meadows, California. Finally, we report summary statistics describing sage-grouse movements and relative abundance of avian predators across all years of the study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181177","collaboration":"Prepared in cooperation with the Bureau of Land Management, California Department of Fish and Wildlife, Nevada Department of Wildlife, and the U.S. Forest Service","usgsCitation":"Mathews, S.R., Coates, P.S., Prochazka, B.G., Ricca, M.A., Meyerpeter, M.B., Espinosa, S.P., Lisius, S., Gardner, S.C., and Delehanty, D.J., 2018, An integrated population model for greater sage-grouse (Centrocercus urophasianus) in the Bi-State Distinct Population Segment, California and Nevada, 2003–17: U.S. Geological Survey Open-File Report 2018-1177, 89 p., https://doi.org/10.3133/ofr20181177.","productDescription":"ix, 89 p.","onlineOnly":"Y","ipdsId":"IP-098330","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":360049,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1177/coverthb.jpg"},{"id":360050,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1177/ofr20181177.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2018-1177"}],"contact":"Director,
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Sediments from the Upper Columbia River, Washington, USA, are contaminated with metals from smelting operations. We conducted short‐term and long‐term tests with the midge Chironomus dilutus and the amphipod Hyalella azteca and short‐term tests with the freshwater mussel Lampsilis siliquoidea with 54 sediments from the Upper Columbia River to characterize thresholds for toxicity of metals to benthic invertebrates. Test sediments were screened for toxicity by comparisons with low‐metal reference sediments. Toxic effects on amphipods occurred primarily in sediments from the upstream (riverine) reach, and toxic effects on midges occurred in sediments from both the upstream reach and the downstream (reservoir) reach. Little toxicity was observed in mussel tests. Toxicity thresholds (20% effect concentrations [EC20s]) for metals in sediment and porewater were estimated from logistic concentration–response models. Copper (Cu) concentrations in the simultaneously extracted metal fraction of sediments and bioavailable Cu in porewater, as characterized by biotic ligand models, had consistent associations with toxicity endpoints. Concentration–response models for sediment Cu produced EC20s for 6 endpoints, with long‐term amphipod survival and reproduction being the most sensitive. A logistic regression model fitted to an endpoint sensitivity distribution for sediment Cu predicted that approximately one‐half of the sediments tested would be toxic to at least one endpoint and that approximately 20% of test sediments would be toxic to more than half of the endpoints. These results indicate that sediments from the upstream reach of the Upper Columbia River, which contain high concentrations of metals associated with slags, cause a wide range of toxic effects in laboratory tests and are likely to have adverse effects on benthic invertebrate communities.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4276","usgsCitation":"Besser, J.M., Steevens, J.A., Kunz, J.L., Brumbaugh, W., Ingersoll, C.G., Cox, S.E., Mebane, C.A., Balistrieri, L.S., Sinclair, J.A., and MacDonald, D.D., 2018, Characterizing toxicity of metal‐contaminated sediments from the Upper Columbia River, Washington, USA, to benthic invertebrates: Environmental Toxicology and Chemistry, v. 37, no. 12, p. 3102-3114, https://doi.org/10.1002/etc.4276.","productDescription":"13 p.","startPage":"3102","endPage":"3114","ipdsId":"IP-097897","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":360059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Upper Columbia River","volume":"37","issue":"12","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-21","publicationStatus":"PW","scienceBaseUri":"5c0b957de4b0c53ecb2aca84","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":202358,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cox, Stephen E. 0000-0001-6614-8225 secox@usgs.gov","orcid":"https://orcid.org/0000-0001-6614-8225","contributorId":1642,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen","email":"secox@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753290,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":753291,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sinclair, Jesse A.","contributorId":176180,"corporation":false,"usgs":false,"family":"Sinclair","given":"Jesse","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":753292,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"MacDonald, Donald D.","contributorId":176179,"corporation":false,"usgs":false,"family":"MacDonald","given":"Donald","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":753293,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70201219,"text":"70201219 - 2018 - Population viability analyses for three Macrhybopsis spp. of the Lower Missouri River","interactions":[],"lastModifiedDate":"2018-12-07T13:50:23","indexId":"70201219","displayToPublicDate":"2018-12-07T13:50:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Population viability analyses for three Macrhybopsis spp. of the Lower Missouri River","docAbstract":"Recent declines in three species of chubs that inhabit the lower Missouri River (shoal chub M. hyostoma, sicklefin chub M. meeki and sturgeon chub M. gelida) have become a concern in the management of their own populations and the endangered pallid sturgeon (Scaphirhynchus albus) that feeds on them. These chub populations encounter threats from fish predation and habitat loss. With the recent advancements in the understanding of the reproductive life history of these species, their declines have prompted development of population models and population viability analyses. For each species, we developed an age‐structured population matrix model with hierarchical stochasticity, which partitions parameter total variance into sampling and temporal components. Using these models, we found population growth rate of all three chub species decreased when stochasticity was added to the model. While examining sensitivity, we found individual fish growth, as measured by length‐at‐age, to impact population growth rate and depending on the species, could be up to four times more influential than overall survival, the next most sensitive parameter. Current survival rates have large temporal variance; more research into accuracy and factors that influence survival rates is needed.
","language":"English","publisher":"Wiley","doi":"10.1111/jai.13791","usgsCitation":"Albers, J.L., Wildhaber, M.L., and Green, N., 2018, Population viability analyses for three Macrhybopsis spp. of the Lower Missouri River: Journal of Applied Ichthyology, v. 34, no. 6, p. 1285-1292, https://doi.org/10.1111/jai.13791.","productDescription":"8 p.","startPage":"1285","endPage":"1292","ipdsId":"IP-081380","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468198,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13791","text":"Publisher Index Page"},{"id":437656,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZS2VF5","text":"USGS data release","linkHelpText":"Fecundity of Sicklefin (Macrhybopsis meeki) and Shoal Chub (M. hyostoma)"},{"id":360058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-19","publicationStatus":"PW","scienceBaseUri":"5c0b957de4b0c53ecb2aca86","contributors":{"authors":[{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201227,"text":"70201227 - 2018 - Analysis of multi-decadal wetland changes, and cumulative impact of multiple storms 1984 to 2017","interactions":[],"lastModifiedDate":"2018-12-07T13:41:19","indexId":"70201227","displayToPublicDate":"2018-12-07T13:41:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of multi-decadal wetland changes, and cumulative impact of multiple storms 1984 to 2017","docAbstract":"Land-cover classification analysis using Landsat satellite imagery acquired between 1984 and 2017 quantified short- (post-Hurricane Sandy) and long-term wetland-change trends along the Maryland and Virginia coasts between Metompkin Bay, VA and Ocean City, MD. Although there are limited options for upland migration of wetlands in the study area, regression analysis showed that wetland area increased slightly between 1984 and 2011, indicating that marsh aggradation rates were sufficient to maintain wetland elevation relative to mean sea level. Following Hurricane Irene (August 2011), the Halloween Nor’Easter (October 2011), and Hurricane Sandy (October 2012), wetland area decreased by more than 7 km2 compared with average pre-storm extents. We assume that Hurricane Sandy had the greatest impact due to the size and intensity of the storm. However, the cumulative effects of multiple storms within a short time period likely contributed to the greater observed losses in coastal wetlands relative to earlier periods. Five years after Hurricane Sandy, wetland area had not significantly recovered, but more time may be necessary to assess if the observed wetland losses will persist or if new growth within flooded marsh areas will be sufficient for the wetlands to recover to pre-storm extents. Comparisons of long-term and storm-driven wetland changes can lead to improved accuracy of habitat vulnerability models and greater understanding of potential impacts of future storms and SLR to coastal wetlands.
","language":"English","publisher":"Springer","doi":"10.1007/s11273-018-9635-6","usgsCitation":"Douglas, S.H., Bernier, J., and Smith, K., 2018, Analysis of multi-decadal wetland changes, and cumulative impact of multiple storms 1984 to 2017: Wetlands Ecology and Management, v. 26, no. 6, p. 1121-1142, https://doi.org/10.1007/s11273-018-9635-6.","productDescription":"22 p.","startPage":"1121","endPage":"1142","ipdsId":"IP-074495","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11273-018-9635-6","text":"Publisher Index Page"},{"id":360056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.57769775390625,\n 37.73162487017297\n ],\n [\n -75.04486083984375,\n 37.73162487017297\n ],\n [\n -75.04486083984375,\n 38.352426464461445\n ],\n [\n -75.57769775390625,\n 38.352426464461445\n ],\n [\n -75.57769775390625,\n 37.73162487017297\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-09","publicationStatus":"PW","scienceBaseUri":"5c0b957de4b0c53ecb2aca88","contributors":{"authors":[{"text":"Douglas, Steven H. 0000-0001-9078-538X sdouglas@usgs.gov","orcid":"https://orcid.org/0000-0001-9078-538X","contributorId":182361,"corporation":false,"usgs":true,"family":"Douglas","given":"Steven","email":"sdouglas@usgs.gov","middleInitial":"H.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kathryn E.L. 0000-0002-7521-7875 kelsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-7521-7875","contributorId":173264,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753333,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200987,"text":"ofr20181186 - 2018 - Effects of transmitter type, tagging method, body size, and temperature on behavior, physiology, and swimming performance of juvenile Chinook salmon (Oncorhynchus tshawytscha)","interactions":[],"lastModifiedDate":"2018-12-07T15:42:49","indexId":"ofr20181186","displayToPublicDate":"2018-12-06T14:43:55","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1186","displayTitle":"Effects of Transmitter Type, Tagging Method, Body Size, and Temperature on Behavior, Physiology, and Swimming Performance of Juvenile Chinook Salmon (Oncorhynchus tshawytscha)","title":"Effects of transmitter type, tagging method, body size, and temperature on behavior, physiology, and swimming performance of juvenile Chinook salmon (Oncorhynchus tshawytscha)","docAbstract":"The objective of this study was to assess the impact of different tagging methods and transmitter types on juvenile salmonid behavior, mortality, physiology, and swimming performance over a range of water temperatures and fish sizes.
In Chapter 1, two laboratory experiments were conducted to assess maximum burst-swimming speeds, the probability of gulping air, swimming angles, and the probability of resting on a screen in a swim tunnel. For the burst swim speed experiment, we identified a slightly reduced, but statistically significant difference in burst-swimming speeds for gastric- and surgical-tagged fish implanted with dummy radio and acoustic transmitters. For the swim tunnel experiment, surgical-tagged fish were one-half as likely to gulp air at the surface of the swim tunnel as untagged and gastric-tagged fish. We observed higher probabilities of fish gulping air at the surface for fish with tag ratios greater than 5 percent, suggesting that smaller fish required greater adjustment to their buoyancy than larger fish. We also observed that gastric-tagged fish had, on average, steeper swimming angles than untagged and surgical-tagged fish in the swim tunnel.
In Chapter 2, we conducted a field-based laboratory experiment at John Day Dam to assess the sustained swimming performance (i.e., critical swimming speed or Ucrit) of in-river migrating subyearling Chinook salmon that were surgically implanted with dummy radio and acoustic transmitters. Statistical tests indicated a significant reduction (about 8.3 centimeters per second [cm/s] or 1 body length per second) in sustained swimming performance for fish implanted with either radio or acoustic transmitters. We also found a significant reduction in Ucrit of -1.38 cm/s for every 1 degree Celsius (°C) increase in temperature.
In Chapter 3, we assessed the effects of water temperature on the physiology, mortality, and swimming performance of juvenile Chinook salmon in laboratory and field experiments. Juvenile Chinook salmon generally showed elevated stress response, elevated mortality, and reduced swimming performance as water temperature increased. We concluded that the water temperature threshold for handling and tagging fish with minimal impacts seems to be near 23 °C. At 25 °C, we documented very high mortality and dramatically reduced swimming performance of tagged fish relative to controls. Telemetry studies conducted at 25 °C would not meet the critical assumption that the transmitter has minimal impacts on the study fish.
In the Chapter 4, we evaluated the effects of antenna length and antenna material on the subsequent tag output power, reception, and detection of tagged fish. In a laboratory, we compared the relative signal strengths in water of 150-megahertz transmitters over a range of antenna lengths (from 6 to 30 cm) and materials (one weighing about one-half of the other). The peak relative signal strengths were at 20 and 22 cm, which are about 1 wavelength underwater at the test frequency. The peak relative signal strengths at these antenna lengths were about 50 percent greater than those of 30-cm antennas, a length commonly used in fisheries research.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181186","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Perry, R.W., and Liedtke, T.L., eds., 2018, Effects of transmitter type, tagging method, body size, and temperature on behavior, physiology, and swimming performance of juvenile Chinook salmon (Oncorhynchus tshawytscha): U.S. Geological Survey Open Report 2018–1186, 74 p., https://doi.org/10.3133/ofr20181186.","productDescription":"viii, 74 p.","onlineOnly":"Y","ipdsId":"IP-076451","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":360005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1186/coverthb.jpg"},{"id":360006,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1186/ofr20181186.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1186"}],"contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
Using a geology-based assessment methodology, the U.S. Geological Survey assessed undiscovered, technically recoverable continuous mean resources of 46.3 billion barrels of oil and 281 trillion cubic feet of gas in the Wolfcamp shale and Bone Spring Formation of the Delaware Basin in the Permian Basin Province, southeast New Mexico and west Texas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183073","usgsCitation":"Gaswirth, S.B., French, K.L., Pitman, J.K., Marra, K.R., Mercier, T.J., Leathers-Miller, H.M., Schenk, C.J., Tennyson, M.E., Woodall, C.A., Brownfield, M.E., Finn, T.M., and Le, P.A., 2018, Assessment of undiscovered continuous oil and gas resources in the Wolfcamp Shale and Bone Spring Formation of the Delaware Basin, Permian Basin Province, New Mexico and Texas, 2018: U.S. Geological Survey Fact Sheet 2018–3073, 4 p., https://doi.org/10.3133/fs20183073.","productDescription":"Report: 4 p.; Data release","onlineOnly":"N","ipdsId":"IP-101387","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":359787,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3073/fs20183073.pdf","text":"Report","size":"2.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3073"},{"id":359834,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WOUJD3","text":"USGS data release","description":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Permian Basin Province, Delaware Basin, Wolfcamp Shale and Bone Spring Assessment Units and Input Data"},{"id":359785,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3073/coverthb.jpg"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Delaware Basin, Permian Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.93,\n 30.59\n ],\n [\n -102.84,\n 30.59\n ],\n [\n -102.84,\n 32.84\n ],\n [\n -104.93,\n 32.84\n ],\n [\n -104.93,\n 30.59\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
When applied to a snow-covered surface, aerodynamic roughness length, z0, is typically considered as a static parameter within energy balance equations. However, field observations show that z0 changes spatially and temporally, and thus z0 incorporated as a dynamic parameter may greatly improve models. To evaluate methods for characterizing snow surface roughness, we compared concurrent estimates of z0 based on (1) terrestrial light detection and ranging derived surface geometry of the snowpack surface (geometric, z0G) and (2) vertical wind profile measurements (anemometric, z0A). The value of z0Gwas computed from Lettau’s equation and underestimated z0A but compared well when scaled by a factor of 2.34. The Counihan method for computing z0G was found to be unsuitable for estimating z0 on a snow surface. During snowpack accumulation in early winter, z0 varied as a function of the snow-covered area (SCA). Our results show that as the SCA increases, z0 decreases, indicating there is a topographic influence on this relation.
","language":"English","publisher":"MDPI","doi":"10.3390/geosciences8120463","usgsCitation":"Sanow, J.E., Fassnacht, S.R., Kamin, D.J., Sexstone, G., Bauerle, W.L., and Oprea, I., 2018, Geometric versus anemometric surface roughness for a shallow accumulating snowpack: Geosciences, v. 8, no. 12, p. 1-10, https://doi.org/10.3390/geosciences8120463.","productDescription":"Article 463; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-103052","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":468200,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/geosciences8120463","text":"Publisher Index Page"},{"id":359976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-06","publicationStatus":"PW","scienceBaseUri":"5c0a4356e4b0815414d2812a","contributors":{"authors":[{"text":"Sanow, Jessica E.","contributorId":211149,"corporation":false,"usgs":false,"family":"Sanow","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":true,"id":753274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fassnacht, Steven R.","contributorId":177135,"corporation":false,"usgs":false,"family":"Fassnacht","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":753275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kamin, David J.","contributorId":211150,"corporation":false,"usgs":false,"family":"Kamin","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":753276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sexstone, Graham A. 0000-0001-8913-0546","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":203850,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauerle, William L.","contributorId":211151,"corporation":false,"usgs":false,"family":"Bauerle","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":753277,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oprea, Iuliana","contributorId":211152,"corporation":false,"usgs":false,"family":"Oprea","given":"Iuliana","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":753278,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199657,"text":"70199657 - 2018 - New global high-resolution centerlines dataset of selected river systems","interactions":[],"lastModifiedDate":"2019-12-06T10:10:11","indexId":"70199657","displayToPublicDate":"2018-12-06T10:05:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5898,"text":"Data in Brief","onlineIssn":"2352-3409","active":true,"publicationSubtype":{"id":10}},"title":"New global high-resolution centerlines dataset of selected river systems","docAbstract":"We present the first high resolution (1:20,000) river centerlines shapefiles from 50 large rivers across the world. Rivers were selected based on the criteria of having more than 1000 km length and which have been reported to have a significant contribution to global fishery production. Since large rivers often span multiple countries, the degree of changes (i.e., anthropogenic or climate derived) varies from region to region. These high-resolution layers were developed to enable researchers to delineate accurate river length, from headwaters regions to their delta and assess or visualize the ongoing changes more accurately in these river systems. Further, these polylines could be used in coordination with satellite derived environmental or landscape variables for ecological research (e.g. predicting biodiversity, estimating biomass).","language":"English","publisher":"Elsevier","doi":"10.1016/j.dib.2018.09.016","collaboration":"Michigan State University","usgsCitation":"Basher, Z., Lynch, A., and Taylor, W.W., 2018, New global high-resolution centerlines dataset of selected river systems: Data in Brief, v. 20, p. 1552-1555, https://doi.org/10.1016/j.dib.2018.09.016.","productDescription":"4 p.","startPage":"1552","endPage":"1555","ipdsId":"IP-094613","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":468201,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dib.2018.09.016","text":"Publisher Index Page"},{"id":370031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357654,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S2352340918310916?via%3Dihub"}],"volume":"20","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Basher, Zeenatul 0000-0002-6439-8324 zbasher@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-8324","contributorId":208142,"corporation":false,"usgs":false,"family":"Basher","given":"Zeenatul","email":"zbasher@usgs.gov","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":746092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":746091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, William W.","contributorId":166927,"corporation":false,"usgs":false,"family":"Taylor","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":746093,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211548,"text":"70211548 - 2018 - Eruptions in sync: Improved constraints on Kīlauea Volcano's hydraulic connection","interactions":[],"lastModifiedDate":"2021-08-04T18:02:24.456164","indexId":"70211548","displayToPublicDate":"2018-12-06T10:04:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Eruptions in sync: Improved constraints on Kīlauea Volcano's hydraulic connection","docAbstract":"Kīlauea Volcano is an archetype for the complex interactions that can occur between a volcano’s summit and flanks. Decades of monitoring at Kīlauea have demonstrated that magma rises beneath the summit and flows laterally at shallow depths to erupt along the rift zones. Kīlauea’s recent eruptions at Halema‘uma‘u and Pu‘u ‘Ō‘ō mark the first time in the historic record that long-term (>1 year) eruptions have been concurrent at the summit and a rift zone, offering a new opportunity to improve our understanding of the relationship between these two segments of the magmatic system. While magma supply rate beneath the summit has been shown in previous studies to be a primary control on magmatic system pressure and eruptive activity, the role of the eruptive vent has been less clear. Our study shows that a dynamic equilibrium is maintained between Kīlauea’s summit and East Rift Zone (ERZ) eruptive vent—and lava lake level fluctuations are closely coupled at the two eruption sites—providing new constraints on the hydraulic connection and ERZ conduit. We show that localized changes at the ERZ eruption site during 2010-2011 regulated summit behavior in an uprift direction over distances of ~20 km. Changes in the elevation and efficiency of the ERZ vent affect pressure in Kīlauea’s magmatic system and impact summit behavior. Thus, the hydraulic connection between the summit and rift zone is a “two-way street” that transmits both downrift- and uprift-directed changes. Our results support recent work at other volcanoes that shows a complex interplay between a volcano’s summit reservoir and flank conduit during flank eruptions, and suggest that explosive summit activity may in some cases be triggered by changes far away on a volcano’s rift.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.11.030","usgsCitation":"Patrick, M.R., Orr, T.R., Anderson, K.R., and Swanson, D., 2018, Eruptions in sync: Improved constraints on Kīlauea Volcano's hydraulic connection: Earth and Planetary Science Letters, v. 507, p. 50-61, https://doi.org/10.1016/j.epsl.2018.11.030.","productDescription":"12 p.","startPage":"50","endPage":"61","ipdsId":"IP-093483","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":387689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.4242706298828,\n 19.272257982982804\n ],\n [\n -155.43045043945312,\n 19.20029572454375\n ],\n [\n -155.39817810058594,\n 19.19056867766461\n ],\n [\n -155.01571655273438,\n 19.30660720441715\n ],\n [\n -155.03082275390625,\n 19.397953948267734\n ],\n [\n -155.11390686035156,\n 19.444579339485816\n ],\n [\n -155.2333831787109,\n 19.444579339485816\n ],\n [\n -155.3102874755859,\n 19.444579339485816\n ],\n [\n -155.4242706298828,\n 19.272257982982804\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"507","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209529,"text":"70209529 - 2018 - Quantifying effects of deer browsing on vegetation establishment, growth and development in large-extent overwash fans","interactions":[],"lastModifiedDate":"2024-08-01T19:46:21.693828","indexId":"70209529","displayToPublicDate":"2018-12-05T16:25:11","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2019/2037","title":"Quantifying effects of deer browsing on vegetation establishment, growth and development in large-extent overwash fans","docAbstract":"Hurricane Sandy provided a unique opportunity to better understand the potential effects of white-tailed deer (Odocoileus virginianus borealis) on recovering vegetation in areas overwashed by Hurricane Sandy in the Otis Pike Fire Island High Dune Wilderness Area. White-tailed deer are the dominant herbivore on Fire Island and they are known to decrease plant diversity, limit reproduction and growth of some plant species, and facilitate growth and expansion of non-native species through selective browsing. Deer also negatively affect the federally-threatened seabeach amaranth plants along the island’s beaches. Deer impacts to forest understory and regeneration have been documented in Fire Island’s Sunken Forest for decades, though their impacts to recovering dune vegetation are less understood and could restrict the resilience and recovery of primary dunes.
Through use of several vegetation assessment methods, including point intercept and paired permanent exclosures, and deer monitoring with trail cameras, we documented high variability in among-overwash species richness, vegetation cover, and local deer abundance. We observed 29 vegetation species among overwash fans between 2015 and 2016. Greater vegetation cover was observed in northern (i.e., inland) areas of all overwash fans, and greater cover and species richness were documented in fenced permanent plots than in control plots. The greatest effect of deer browsing to recovering dune vegetation was in total vegetation cover, which was significantly greater in fenced permanent plots. Any amaranth plants left open (i.e., un-exclosed) were often heavily browsed and experienced early onset mortality without reproducing. Since Hurricane Sandy, total vegetation cover in overwash fans has significantly increased each year, despite deer activity and a regional drought in 2016. While deer graze and browse vegetation in overwash fans, deer and humans trample vegetation in some overwash fans and separating effects of each is not possible from exclusion studies alone. Two overwash fans have been consistently impacted by coastal disturbances since Hurricane Sandy, further complicating their recoveries. Monitoring of dune vegetation should continue as communities transition from predominantly grasses to shrubs and forbs to assess effects of deer as palatability of vegetation improves.
The incompatibility of native Colorado River fishes and nonnative warm-water sport fishes is well documented with predation by nonnative species causing rapid declines and even extirpation of native species in most locations. In a few rare instances native fishes are able to survive and recruit despite the presence of nonnative warm water predators, indicating that specific environmental conditions may help reduce predation vulnerability. We experimented with turbidity, artificial blue water colorant, woody debris, rocks, and aquatic vegetation in a laboratory setting to determine if any of these types of cover could reduce predation vulnerability and confer survival advantages for juvenile bonytail Gila elegans, (mean = 70 mm TL), roundtail chub Gila robusta, (mean = 35 mm TL), humpback chub Gila cypha, (mean = 67 mm TL), and razorback sucker Xyrauchen texanus (mean = 74 mm TL). Juvenile native fishes were exposed to predation by adult largemouth bass Micropterus salmoides, smallmouth bass Micropterus dolomieu, green sunfish Lepomis cyanellus, flathead catfish Pylodictis olivaris, and black bullhead catfish Ameiurus melas, in overnight trials. Turbidity above 500 NTU reduced predation vulnerability by up to 50%, for the sight-feeding predators, but increased predation vulnerability to non-sight feeding predators such as flathead catfish and bullhead catfish. Turbidity was the only treatment which appeared to significantly alter predation mortality of native prey. These results may help to explain recent patterns of wild juvenile razorback sucker recruitment at the inflow of the San Juan River into Lake Powell and the inflow of the Colorado River into Lake Mead. These are both areas of high turbidity where flathead catfish are not currently present but other nonnative sportfish are relatively abundant.
","language":"English","publisher":"American Fisheries Society","doi":"10.3996/042018-JFWM-031","usgsCitation":"Ward, D.L., and Vaage, B., 2018, What environmental conditions reduce predation vulnerability for juvenile Colorado River native fishes?: Journal of Fish and Wildlife Management, v. 10, no. 1, p. 196-205, https://doi.org/10.3996/042018-JFWM-031.","productDescription":"10 p.","startPage":"196","endPage":"205","ipdsId":"IP-095633","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468202,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042018-jfwm-031","text":"Publisher Index Page"},{"id":437657,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94ANHV3","text":"USGS data release","linkHelpText":"Laboratory Predation Data (various nonnative warm-water sport fishes), Arizona"},{"id":363085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"10","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaage, Benjamin 0000-0003-1730-4302 bvaage@usgs.gov","orcid":"https://orcid.org/0000-0003-1730-4302","contributorId":211598,"corporation":false,"usgs":true,"family":"Vaage","given":"Benjamin","email":"bvaage@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761157,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201775,"text":"70201775 - 2018 - Updated California aftershock parameters","interactions":[],"lastModifiedDate":"2019-01-29T14:53:12","indexId":"70201775","displayToPublicDate":"2018-12-05T14:53:06","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Updated California aftershock parameters","docAbstract":"Reasenberg and Jones (1989) introduced a statistical model for aftershock rate following a mainshock along with estimates of “generic” California parameter values based on past aftershock sequences. The Reasenberg and Jones (1989) model has been used for decades to issue aftershock forecasts following
Use of environmental DNA (eDNA) to assess distributions of aquatic and semi-aquatic macroorganisms is promising, but sampling schemes may need to be tailored to specific objectives. Given the potentially high variance in aquatic eDNA among replicate grab samples, compositing smaller water volumes collected over a period of time may be more effective for some applications. In this study, we compared eDNA profiles from composite water samples aggregated over three hours with grab water samples. Both sampling patterns were performed with identical autosamplers paired at two different sites in a headwater stream environment, augmented with exogenous fish eDNA from an upstream rearing facility. Samples were filtered through 0.8 μm cellulose nitrate filters and DNA was extracted with a cetyl trimethylammonium bromide procedure. Eukaryotic and bacterial community profiles were derived by amplicon sequencing of 12S ribosomal, 16S ribosomal, and cytochrome oxidase I loci. Operational taxa were assigned to genus with a lowest common ancestor approach for eukaryotes and to family with the RDP Classifier software for prokaryotes. Eukaryotic community profiles were more consistent with composite sampling than grab sampling. Downstream, rarefaction curves suggested faster taxon accumulation for composite samples, and estimated richness was higher for composite samples as a set than for grab samples. Upstream, composite sampling produced lower estimated richness than grab samples, but with overlapping standard errors. Furthermore, a bimodal pattern of richness as a function of sequence counts suggested the impact of clumped particles on upstream samples. Bacterial profiles were insensitive to sample method, consistent with the more even dispersion expected for bacteria compared with eukaryotic eDNA. Overall, samples composited over 3 h performed equal to or better than triplicate grab sampling for quantitative community metrics, despite the higher total sequencing effort provided to grab replicates. On the other hand, taxon-specific detection rates did not differ appreciably and the two methods gave similar estimates of the ratio of the common fish genera Salmo and Coregonus at each site. Unexpectedly, Salmo eDNA dropped out substantially faster than Coregonus eDNA between the two sites regardless of sampling method, suggesting that differential settling affects the estimation of relative abundance. We identified bacterial patterns that were associated with eukaryotic diversity, suggesting potential roles as biomarkers of sample representativeness.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.5871","usgsCitation":"Cornman, R.S., McKenna, J.E., Fike, J., Oyler-McCance, S.J., and Johnson, R., 2018, An experimental comparison of composite and grab sampling of stream water for metagenetic analysis of environmental DNA: PeerJ, v. 6, p. 1-28, https://doi.org/10.7717/peerj.5871.","productDescription":"e5871; 28 p.","startPage":"1","endPage":"28","ipdsId":"IP-098663","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468203,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.5871","text":"Publisher Index Page"},{"id":437658,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93NIUYM","text":"USGS data release","linkHelpText":"Metagenetic analysis of stream community composition based on environmental DNA"},{"id":360249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-05","publicationStatus":"PW","scienceBaseUri":"5c137dd3e4b006c4f8514882","contributors":{"authors":[{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":753900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":753901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":753902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":753903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Robin 0000-0003-4314-3792","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":211387,"corporation":false,"usgs":false,"family":"Johnson","given":"Robin","affiliations":[{"id":38242,"text":"Integrated Statistics (Contractor)","active":true,"usgs":false}],"preferred":false,"id":753904,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}