{"pageNumber":"47","pageRowStart":"1150","pageSize":"25","recordCount":11370,"records":[{"id":70206155,"text":"70206155 - 2019 - Factors promoting the recolonization of Oahu, Hawaii, by Bristle-thighed Curlews","interactions":[],"lastModifiedDate":"2019-11-13T13:55:42","indexId":"70206155","displayToPublicDate":"2019-09-18T07:00:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Factors promoting the recolonization of Oahu, Hawaii, by Bristle-thighed Curlews","docAbstract":"Suitable habitat for Arctic-breeding migratory shorebirds is decreasing at their traditional wintering islands and atolls in the Central Pacific Flyway (i.e., Oceania) due to habitat degradation, reclamation, and sea-level rise.  To maintain the size and resiliency of their populations, migratory shorebirds will need to expand their winter ranges by either colonizing new sites or recolonizing old sites from which they were extirpated.  Bristle-thighed Curlews (Numenius tahitiensis) are long-distance migratory shorebirds that breed only in Alaska and winter across a vast region of the Central Pacific, typically on remote, unpopulated islands and atolls. Historically, Bristle-thighed Curlews were considered uncommon transients on the main Hawaiian Islands, but in the mid-1990s, curlews became regular visitors to Oahu and subsequently began wintering at the James Campbell National Wildlife Refuge on Oahu Island in Hawaii.  Curlew numbers at this site grew steadily from <5 birds in the mid-1990s to an estimated 126 winter residents (95%CI 108–147) in 2013–2014.   Timing of the recolonization event coincided with the establishment of a fenced pond complex that was managed for endangered waterbirds by maintaining areas of shallow water and low vegetation.  High rates of apparent annual survival exhibited by adults and subadults (0.86–0.95) confirmed the suitability of the Refuge to curlews.  Our results suggest that curlews in Oceania can naturally recolonize wintering islands, a trait that may be key to the survival of this species of conservation concern in an era of rising sea levels.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2019.e00785","usgsCitation":"Tibbitts, T.L., Ruthrauff, D.R., Underwood, J.G., and Patil, V.P., 2019, Factors promoting the recolonization of Oahu, Hawaii, by Bristle-thighed Curlews: Global Ecology and Conservation, v. 21, e00785, https://doi.org/10.1016/j.gecco.2019.e00785.","productDescription":"e00785","ipdsId":"IP-106100","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":459783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2019.e00785","text":"Publisher Index Page"},{"id":368549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.433837890625,\n              21.151115354148047\n            ],\n            [\n              -157.510986328125,\n              21.151115354148047\n            ],\n            [\n              -157.510986328125,\n              21.84620351827813\n            ],\n            [\n              -158.433837890625,\n              21.84620351827813\n            ],\n            [\n              -158.433837890625,\n              21.151115354148047\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":773739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":773740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Underwood, Jared G.","contributorId":198606,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":773741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":773742,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208430,"text":"70208430 - 2019 - Reference intervals for blood-based biochemical analytes of southern Beaufort Sea polar bears ","interactions":[],"lastModifiedDate":"2020-02-09T12:35:43","indexId":"70208430","displayToPublicDate":"2019-09-16T12:34:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Reference intervals for blood-based biochemical analytes of southern Beaufort Sea polar bears ","docAbstract":"Accurate reference intervals (RI) for commonly measured blood-based analytes are essential for health monitoring programs. Baseline values for a panel of analytes can be used to monitor physiologic and pathophysiologic processes such as organ function, electrolyte balance, and protein catabolism.  Our reference population includes 651 serum samples from polar bears (Ursus maritimus) from the southern Beaufort Sea subpopulation sampled in Alaska, USA, between 1983 - 2016.   To establish RI for 13 biochemical analytes, we defined specific criteria for characterizing the reference population and relevant subgroups.  To account for differences in seasonal life history characteristics, we determined separate RI for the spring and fall seasons, when prey availability and energetic requirements of bears differ. We established RI for five subgroups in spring based on sex, age class, and denning status, and three subgroups in fall based on sex and age class in females. Alkaline phosphatase activities were twice as high in subadult as in adult polar bears in spring (zmales = 4.08, Pmales < 0.001, zfemales = 3.90, Pfemales < 0.001), and did not differ between seasons. Denning females had significantly higher glucose concentrations than non-denning females (z = 4.94, P < 0.001), possibly reflecting differences in energy expenditure during lactation.  Ten of the 13 analytes differed significantly between seasons in either males or females; however, the physiologic importance of these differences may be minimal.  Establishing these RI allows for temporal monitoring of polar bear health in the southern Beaufort Sea and may prove useful for assessing and monitoring additional polar bear subpopulations in a changing Arctic environment.","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coz040","usgsCitation":"Fry, T., Friedrichs, K.R., Atwood, T.C., Duncan, C.G., Simac, K.S., and Goldberg, T., 2019, Reference intervals for blood-based biochemical analytes of southern Beaufort Sea polar bears : Conservation Physiology, v. 7, no. 1, coz040, 16 p., https://doi.org/10.1093/conphys/coz040.","productDescription":"coz040, 16 p.","ipdsId":"IP-104616","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":459802,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coz040","text":"Publisher Index Page"},{"id":437337,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OXCRJ6","text":"USGS data release","linkHelpText":"Southern Beaufort Sea Polar Bear Blood Based Analyte Data, 1983-2018"},{"id":372172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":" {\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.0205078125,\n              69.19379976461904\n            ],\n            [\n              -141.240234375,\n              71.91088787611527\n            ],\n            [\n              -152.4462890625,\n              72.3157853052617\n            ],\n            [\n              -159.4775390625,\n              72.71190310803662\n            ],\n            [\n              -160.8837890625,\n              71.85622888185527\n            ],\n            [\n              -159.5654296875,\n              70.48089578887483\n            ],\n            [\n              -141.0205078125,\n              69.19379976461904\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Fry, Tricia","contributorId":222310,"corporation":false,"usgs":false,"family":"Fry","given":"Tricia","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":781847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedrichs, Kristen R.","contributorId":202228,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Kristen","email":"","middleInitial":"R.","affiliations":[{"id":36375,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, 2015 Linden Dr., Madison, WI 53706-1100, USA","active":true,"usgs":false}],"preferred":false,"id":781848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duncan, Colleen G.","contributorId":15512,"corporation":false,"usgs":false,"family":"Duncan","given":"Colleen","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":781849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldberg, Tony","contributorId":211788,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","affiliations":[{"id":38319,"text":"UW Madison","active":true,"usgs":false}],"preferred":false,"id":781850,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227523,"text":"70227523 - 2019 - Energetic status and bioelectrical impedance modeling of Arctic grayling Thymallus arcticus in interior Alaska Rivers","interactions":[],"lastModifiedDate":"2022-01-20T12:58:29.761524","indexId":"70227523","displayToPublicDate":"2019-09-14T06:53:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Energetic status and bioelectrical impedance modeling of Arctic grayling Thymallus arcticus in interior Alaska Rivers","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The energetic status of fishes represents energy stored as protein and lipids and reflects the ability of an individual to reproduce, migrate, and transition through life stages, ultimately influencing survival. However, traditional measurement methods, while highly accurate, are time consuming, expensive, and lethal, and nonlethal methods such as condition factor may not adequately characterize energetic status. We collected 161 Arctic grayling (<i>Thymallus arcticus</i>) from four interior Alaska river basins with varying hydrologic regimes during early summer and autumn seasons, and used multiple regression and model selection to evaluate the efficacy of bioelectrical impedance analysis (BIA), a nonlethal condition assessment method, to predict percent dry mass and percent lipid content estimated from proximate analysis. We found that Arctic grayling energetic status varied across seasons, by sex, and fish from sites with spawning runs of Pacific salmon had higher energy content than those from sites without salmon, potentially due to the influence of salmon-derived food subsidies. Electrical measurements explained 82% and 80% of the variability in percent dry mass and percent total lipids, respectively, and top models showed high predictive performance (observed vs. predicted root mean squared error ≤2.2%). Overall, we found the BIA approach to provide rapid, precise, and non-lethal estimates of Arctic grayling body condition. Such an approach may be useful for future work to characterize Arctic grayling bioenergetics and monitor fish condition under a rapidly changing Arctic environment.</p></div></div><div id=\"cobranding-and-download-availability-text\" class=\"note test-pdf-link\"><br></div>","language":"English","publisher":"Springer","doi":"10.1007/s10641-019-00910-6","usgsCitation":"Falke, J.A., Bailey, L.T., Fraley, K.M., Lunde, M.J., and Gryska, A.D., 2019, Energetic status and bioelectrical impedance modeling of Arctic grayling Thymallus arcticus in interior Alaska Rivers: Environmental Biology of Fishes, v. 102, p. 1337-1349, https://doi.org/10.1007/s10641-019-00910-6.","productDescription":"13 p.","startPage":"1337","endPage":"1349","ipdsId":"IP-098094","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -161.103515625,\n              62.32920841458002\n            ],\n            [\n              -136.845703125,\n              62.32920841458002\n            ],\n            [\n              -136.845703125,\n              67.85898479324493\n            ],\n            [\n              -161.103515625,\n              67.85898479324493\n            ],\n            [\n              -161.103515625,\n              62.32920841458002\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","noUsgsAuthors":false,"publicationDate":"2019-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Lauren T.","contributorId":271265,"corporation":false,"usgs":false,"family":"Bailey","given":"Lauren","email":"","middleInitial":"T.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":831239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraley, Kevin M.","contributorId":189243,"corporation":false,"usgs":false,"family":"Fraley","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":831240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lunde, Michael J.","contributorId":271266,"corporation":false,"usgs":false,"family":"Lunde","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":831241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gryska, Andrew D.","contributorId":271267,"corporation":false,"usgs":false,"family":"Gryska","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":56329,"text":"akfg","active":true,"usgs":false}],"preferred":false,"id":831242,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215286,"text":"70215286 - 2019 - Population trends of king and common eiders from spring migration counts at Point Barrow, Alaska between 1994 and 2016","interactions":[],"lastModifiedDate":"2020-10-14T23:33:34.376936","indexId":"70215286","displayToPublicDate":"2019-09-12T18:28:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Population trends of king and common eiders from spring migration counts at Point Barrow, Alaska between 1994 and 2016","docAbstract":"<p><span>Most king (</span><i>Somateria spectabilis</i><span>) and common eiders (</span><i>S. mollissima v-nigra)</i><span>&nbsp;breeding in the northwestern Nearctic migrate past Point Barrow, Alaska. Spring migration counts have been conducted there since 1953; during 1976–1996, both species declined &gt;&nbsp;50% for unknown reasons. To evaluate population trends, counts in 2003, 2004, 2015, and 2016 were compared to earlier counts. King eider estimates were 304,966 (95% CI ± 76,254) in 2003, 591,961 (±&nbsp;172,011) in 2004, 796,419 (± 304,011) in 2015, and 322,381 (± 145,833) in 2016. Common eider estimates were 114,998 (± 28,566) in 2003, 110,561 (±&nbsp;32,087) in 2004, 96,775 (±&nbsp;39,913) in 2015, and 130,390 (±&nbsp;34,548) in 2016. The 2016 estimate was likely biased low for king eiders due to weather (causing large pulses of king eiders to pass within 2&nbsp;days) and early ice break-up (causing observers to count at greater distances from the flocks). Using all estimates, populations of both species were statistically stable during 1994–2016. Excluding the 2016 count for king eiders indicated a significant increase of 18.63%/year in that population. Photo analysis of flocks in 2016 indicated that observer counts averaged 4% lower, species detection was not different, but females’ counts were underestimated by 25%. Methods should be refined to reduce bias and variability. Ice-based spring counts are becoming more difficult due to earlier break-up, less stable ice, and new techniques or locations; or a switch to land-based summer/fall migration counts are needed. Population monitoring is needed to ensure sustainability of harvests for these valuable subsistence resources.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00300-019-02581-6","usgsCitation":"McGuire, R., Suydam, R., Quakenbush, L., and Powell, A., 2019, Population trends of king and common eiders from spring migration counts at Point Barrow, Alaska between 1994 and 2016: Polar Biology, v. 42, p. 2065-2074, https://doi.org/10.1007/s00300-019-02581-6.","productDescription":"10 p.","startPage":"2065","endPage":"2074","ipdsId":"IP-103676","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":379398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Point Barrow","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.752685546875,\n              70.85188122123132\n            ],\n            [\n              -157.4066162109375,\n              70.86448996613296\n            ],\n            [\n              -156.8682861328125,\n              71.12743434576174\n            ],\n            [\n              -156.4288330078125,\n              71.32719154756404\n            ],\n            [\n              -156.4727783203125,\n              71.40442035262377\n            ],\n            [\n              -156.7584228515625,\n              71.39741230249791\n            ],\n            [\n              -157.159423828125,\n              71.34301347171373\n            ],\n            [\n              -157.642822265625,\n              71.03482027758315\n            ],\n            [\n              -157.7911376953125,\n              70.92202823664289\n            ],\n            [\n              -157.752685546875,\n              70.85188122123132\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","noUsgsAuthors":false,"publicationDate":"2019-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, R.","contributorId":243089,"corporation":false,"usgs":false,"family":"McGuire","given":"R.","email":"","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":801522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suydam, R.","contributorId":243090,"corporation":false,"usgs":false,"family":"Suydam","given":"R.","email":"","affiliations":[{"id":48637,"text":"North Slope Borough","active":true,"usgs":false}],"preferred":false,"id":801523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quakenbush, L.","contributorId":243091,"corporation":false,"usgs":false,"family":"Quakenbush","given":"L.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":801524,"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":801525,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207326,"text":"70207326 - 2019 - Evaluation of maternal penning to improve calf survival in the Chisana Caribou Herd","interactions":[],"lastModifiedDate":"2019-12-17T10:13:50","indexId":"70207326","displayToPublicDate":"2019-09-12T10:02:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3773,"text":"Wildlife Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of maternal penning to improve calf survival in the Chisana Caribou Herd","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Predation is a major limiting factor for most small sedentary caribou (<i>Rangifer tarandus</i>) populations, particularly those that are threatened or endangered across the southern extent of the species’ range. Thus, reducing predation impacts is often a management goal for improving the status of small caribou populations, and lethal predator removal is the primary approach that has been applied. Given that predator control programs are often contentious, other management options that can garner broader public acceptance need to be considered.</p><p>Substantial calf losses to predation in the few weeks following birth are common for these small caribou populations. Therefore, we employed a novel experimental approach of maternal penning with the goal of reducing early calf mortality in the Chisana Caribou Herd, a declining population in southwest Yukon and adjacent Alaska thought to number around 300 individuals. Maternal penning entailed temporarily holding pregnant females on their native range in a large pen secure from predators from late March through the initial weeks of calf rearing to mid‐June. During 2003–2006, we conducted 4 annual penning trials with 17–50 pregnant females each year (<i>n</i> = 146 total), assessed survival of calves born in the pens, and evaluated survival and nutritional effects of penning for females that were held. We also investigated the herd's population dynamics during 2003–2008 to determine effects of maternal penning on calf recruitment and population growth. In addition to information gained during maternal penning, we determined natality and survival patterns via radiotelemetry, conducted autumn age‐sex composition surveys each year, and censused the population in mid‐October 2003, 2005, and 2007. Based on our penning trials and demographic investigations, we used simulation models to evaluate the effects of maternal penning relative to a population's inherent growth rate (finite rate of increase [λ] without maternal penning) and penning effort (proportion of calves born in penning) to provide perspective on utility of this approach for improving the status of small imperiled caribou populations.</p><p>Pregnant females held in maternal penning tolerated captivity well in that they exhibited positive nutritional responses to<span>&nbsp;</span><i>ad libitum</i><span>&nbsp;</span>feed we provided and higher survival than free‐ranging females (0.993 and 0.951 for penned and free‐ranging females, respectively). Survival of pen calves from birth to mid‐June was substantially higher than that of free‐ranging calves (<img class=\"section_image\" src=\"https://wildlife.onlinelibrary.wiley.com/cms/attachment/0e6ef12e-eaa7-4d2f-ab08-ea5b2bd86630/wmon1044-math-0001.png\" alt=\"urn:x-wiley:00840173:media:wmon1044:wmon1044-math-0001\" data-mce-src=\"https://wildlife.onlinelibrary.wiley.com/cms/attachment/0e6ef12e-eaa7-4d2f-ab08-ea5b2bd86630/wmon1044-math-0001.png\"> = 0.950 and 0.376, respectively). This initial period accounted for 76% of the annual calf mortality in the free‐ranging population. Pen‐born calves maintained their survival advantage over wild‐born calves to the end of their first year (<img class=\"section_image\" src=\"https://wildlife.onlinelibrary.wiley.com/cms/attachment/dbad290f-0978-47cf-a834-0ee7ab365628/wmon1044-math-0002.png\" alt=\"urn:x-wiley:00840173:media:wmon1044:wmon1044-math-0002\" data-mce-src=\"https://wildlife.onlinelibrary.wiley.com/cms/attachment/dbad290f-0978-47cf-a834-0ee7ab365628/wmon1044-math-0002.png\"> = 0.575 and 0.192, respectively) during years penning occurred.</p><p>Females in the Chisana Herd were highly productive with 57% producing their first offspring at 2 years of age, and annual natality rates averaging 0.842 calves/female ≥2 years old. Age‐specific natality rates exceeded 0.900 for 4–9‐year‐olds, then exhibited senescent decline to 0.467 by 19 years old. Annual survival of free‐ranging adult females and calves averaged 0.892 and 0.184, respectively, over all study years; both were reduced during 2004 because of poor winter survival. We noted reduced nutritional condition of caribou late that winter in that females we captured were lighter than in other years and produced lighter calves. We suspect that the reduced survival during winter 2004 and the observed nutritional characteristics resulted from adverse snow conditions in combination with effects of the extreme drought experienced the previous summer. Age‐specific survival of adult females was ≥0.900 through 10 years of age, then declined with age.</p><p>The Chisana Herd numbered 720 caribou in mid‐October 2003, or more than twice that estimated prior to initiating maternal penning, and increased to 766 caribou by mid‐October 2007. We calculated that penning added 54.2 yearling recruits, or 40% of calves released from penning. Based on the maternal penning results and the population's vital rates, we determined that the herd would have been stable during 2003–2007 at about 713 caribou without maternal penning; thus, the increase in herd size we observed resulted from maternal penning and was equivalent to the estimate of additional yearling recruits. The improvement in the population trend invoked by maternal penning was limited by the larger than expected population size and resulting low penning effort (<img class=\"section_image\" src=\"https://wildlife.onlinelibrary.wiley.com/cms/attachment/13da9eca-7696-4e7d-9e85-88b51c02dabb/wmon1044-math-0003.png\" alt=\"urn:x-wiley:00840173:media:wmon1044:wmon1044-math-0003\" data-mce-src=\"https://wildlife.onlinelibrary.wiley.com/cms/attachment/13da9eca-7696-4e7d-9e85-88b51c02dabb/wmon1044-math-0003.png\"> = 11% of calves born in pen).</p><p>Our simulations corroborated that maternal penning increased population size by the number of additional recruits provided, even at low penning effort, for inherently stable populations. As the inherent rate of increase dropped below λ = 1.000, more of the additional recruits from penning were needed to offset the downward population inertia, thus requiring increased penning effort to reach stability. For populations declining at λ &lt; 0.890, stability could not be achieved with 100% penning effort given the vital rates in our models.</p><p>Maternal penning in its limited application to date has proven to be broadly popular as a nonlethal management action aimed at reducing initial calf mortality from predation in small caribou populations. However, based on the Chisana program and 3 subsequent efforts elsewhere, improvement in population trends have been modest at best and come at a high financial cost. Given the necessity of maximizing penning effort, maternal penning may have a role in addressing conservation challenges for some small caribou populations that are stable or slowly declining, but its application should be primarily driven by objective assessment of the likelihood of improving population trends rather than popularity relative to other management options.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/wmon.1044","usgsCitation":"Adams, L., Farnell, R.G., Oakley, M.P., Jung, T., Larocque, L., Lortie, G., McLelland, J., Reid, M., Roffler, G.H., and Russell, D., 2019, Evaluation of maternal penning to improve calf survival in the Chisana Caribou Herd: Wildlife Monographs, v. 204, no. 1, p. 5-46, https://doi.org/10.1002/wmon.1044.","productDescription":"42 p.","startPage":"5","endPage":"46","ipdsId":"IP-079916","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":459845,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wmon.1044","text":"Publisher Index Page"},{"id":370338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Wrangell‐St. Elias National Park and Preserve, Kluane Wildlife Sanctuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -144.05273437499997,\n              60.48970392643919\n            ],\n            [\n              -137.21923828125,\n              60.48970392643919\n            ],\n            [\n              -137.21923828125,\n              63.38167869302983\n            ],\n            [\n              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G.","contributorId":56870,"corporation":false,"usgs":false,"family":"Farnell","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":777715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oakley, Michelle P.","contributorId":221305,"corporation":false,"usgs":false,"family":"Oakley","given":"Michelle","email":"","middleInitial":"P.","affiliations":[{"id":33063,"text":"Yukon Department of Environment","active":true,"usgs":false}],"preferred":false,"id":777716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jung, Thomas","contributorId":221306,"corporation":false,"usgs":false,"family":"Jung","given":"Thomas","affiliations":[{"id":33063,"text":"Yukon Department of Environment","active":true,"usgs":false}],"preferred":false,"id":777717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larocque, Lorne","contributorId":221307,"corporation":false,"usgs":false,"family":"Larocque","given":"Lorne","email":"","affiliations":[{"id":33063,"text":"Yukon Department of Environment","active":true,"usgs":false}],"preferred":false,"id":777718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lortie, Grant","contributorId":221308,"corporation":false,"usgs":false,"family":"Lortie","given":"Grant","email":"","affiliations":[],"preferred":false,"id":777719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLelland, Jamie","contributorId":221309,"corporation":false,"usgs":false,"family":"McLelland","given":"Jamie","email":"","affiliations":[{"id":33063,"text":"Yukon Department of Environment","active":true,"usgs":false}],"preferred":false,"id":777720,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reid, Mason","contributorId":51639,"corporation":false,"usgs":true,"family":"Reid","given":"Mason","affiliations":[],"preferred":false,"id":777721,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roffler, Gretchen H. groffler@usgs.gov","contributorId":1946,"corporation":false,"usgs":true,"family":"Roffler","given":"Gretchen","email":"groffler@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":777722,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Russell, Don","contributorId":200378,"corporation":false,"usgs":false,"family":"Russell","given":"Don","email":"","affiliations":[],"preferred":false,"id":777723,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70204227,"text":"fs20193037 - 2019 - Assessment of undiscovered gas hydrate resources in the North Slope of Alaska, 2018","interactions":[],"lastModifiedDate":"2019-09-10T10:40:21","indexId":"fs20193037","displayToPublicDate":"2019-09-10T11:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3037","title":"Assessment of undiscovered gas hydrate resources in the North Slope of Alaska, 2018","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of about 54 trillion cubic feet of gas resources within gas hydrates in the North Slope of Alaska.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193037","usgsCitation":"Collett, T.S., Lewis, K.A., Zyrianova, M.V., Haines, S.S., Schenk, C.J., Mercier, T.J., Brownfield, M.E., Gaswirth, S.B., Marra, K.R., Leathers-Miller, H.M., Pitman, J.K., Tennyson, M.E., Woodall, C.A., and Houseknecht, D.W., 2019, Assessment of undiscovered gas hydrate resources in the North Slope of Alaska, 2018: U.S. Geological Survey Fact Sheet 2019–3037, 4 p., https://doi.org/10.3133/fs20193037.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"N","ipdsId":"IP-102341","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":367178,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HSWE98","text":"USGS data release","description":"USGS data release ","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Northern Alaska Province, Gas Hydrate Assessment Unit Boundaries and Assessment Input Data Forms"},{"id":367176,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3037/coverthb.jpg"},{"id":367177,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3037/fs20193037.pdf","text":"Report","size":"716 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3037"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"  {\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -166.8603515625,\n              67.20403234340081\n            ],\n            [\n              -141.1083984375,\n              67.20403234340081\n            ],\n            [\n              -141.1083984375,\n              71.42717893107371\n            ],\n            [\n              -166.8603515625,\n              71.42717893107371\n            ],\n            [\n              -166.8603515625,\n              67.20403234340081\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Geological Framework and Definition of Assessment Units</li><li>Undiscovered Gas Hydrate Resources Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-09-10","noUsgsAuthors":false,"publicationDate":"2019-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":766071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Kristen A. 0000-0003-4991-3399 klewis@usgs.gov","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":4120,"corporation":false,"usgs":true,"family":"Lewis","given":"Kristen","email":"klewis@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science 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,{"id":70210534,"text":"70210534 - 2019 - Vulnerability of subsistence systems due to social and environmental change: A case study in the Yukon-Kuskokwim Delta, Alaska","interactions":[],"lastModifiedDate":"2020-06-09T12:36:30.528962","indexId":"70210534","displayToPublicDate":"2019-09-09T07:32:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of subsistence systems due to social and environmental change: A case study in the Yukon-Kuskokwim Delta, Alaska","docAbstract":"Arctic Indigenous communities have been classified as highly vulnerable to climate change impacts.  The remoteness of Arctic communities, their dependence upon local species and habitats, and the historical marginalization of Indigenous peoples, enhances this characterization of vulnerability.  However, vulnerability is a result of diverse historical, social, economic, political, cultural, institutional, natural resource, and environmental conditions and processes and is not easily reduced to a single metric.  Furthermore, despite the widespread characterization of vulnerability, Arctic Indigenous communities are extremely resilient as evidenced by subsistence institutions that have been developed over thousands of years.  We explored the vulnerability of subsistence systems in the Cup’ik village of Chevak and Yup’ik village of Kotlik through the lens of the strong seasonal dimensions of resource availability.  In the context of subsistence harvesting in Alaskan Native Villages, vulnerability may be determined by analyzing the exposure of subsistence resources to climate change impacts, the sensitivity of a community to those impacts, and the capacity of subsistence institutions to absorb these impacts.  Subsistence resources, their seasonality, and perceived impacts to these resources were investigated via semi-structured interviews and participatory mapping-calendar workshops.  Results suggest that while these communities are experiencing disproportionate impacts of climate change, Indigenous ingenuity and adaptability provide an avenue for culturally appropriate adaptation strategies. However, despite this capacity for resiliency, rapid socio-cultural changes have the potential to be a barrier to community adaptation and the recent, ongoing shifts in seasonal weather patterns, may make seasonally specific subsistence adaptations to landscape particularly vulnerable.","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic68867","usgsCitation":"Herman-Mercer, N.M., Laituri, M., Massey, M., Matkin, E., Toohey, R.C., Elder, K., Schuster, P.F., and Mutter, E.A., 2019, Vulnerability of subsistence systems due to social and environmental change: A case study in the Yukon-Kuskokwim Delta, Alaska: Arctic, v. 72, no. 3, p. 258-272, https://doi.org/10.14430/arctic68867.","productDescription":"15 p.","startPage":"258","endPage":"272","ipdsId":"IP-105098","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":459886,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic68867","text":"Publisher Index Page"},{"id":375455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon-Kuskokwim Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -167.783203125,\n              58.768200159239576\n            ],\n            [\n              -154.16015625,\n              58.768200159239576\n            ],\n            [\n              -154.16015625,\n              63.430860212678105\n            ],\n            [\n              -167.783203125,\n              63.430860212678105\n            ],\n            [\n              -167.783203125,\n              58.768200159239576\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"72","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - 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,{"id":70215101,"text":"70215101 - 2019 - Interferometric synthetic aperture radar study of recent eruptive activity at Shrub mud volcano, Alaska","interactions":[],"lastModifiedDate":"2020-10-07T20:05:21.607512","indexId":"70215101","displayToPublicDate":"2019-09-06T14:48:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Interferometric synthetic aperture radar study of recent eruptive activity at Shrub mud volcano, Alaska","docAbstract":"Shrub mud volcano is one of three large mud volcanoes that comprise the Klawasi Group in the Copper River Basin of southcentral Alaska. Except for minor discharges in the mid-1950s when the group was first described, Shrub was dormant prior to its reactivation in summer 1996. From 1997 to 1999, Shrub vigorously erupted more than 5 x 105 cubic meters of saline mud and carbon dioxide-rich gas at temperatures as high as 54 degrees C. Thereafter, activity waned but continued at least through 2015. We analyzed 192 interferograms derived from 106 synthetic aperture radar (SAR) images acquired by the JERS-1 (L-band), ERS-1/2 (C-band), RADARSAT-1 (C-band), and ALOS PALSAR (L-band) satellites to characterize ground deformation at Shrub before, during, and after its reactivation. Collectively, the interferograms span 1992–2000 and 2006–2011. We fit the observations with two deformation sources: a deflating, steeply dipping, pipe-like body under the summit area and an inflating, shallow-dipping, sill-like body under the southwest flank. Both sources are shallow, with centroids less than 1 km beneath the summit. Prior to reactivation, the flank source inflated ~0.35 x 105 cubic meters per year from July 1992 to May 1996. During eruptive activity, the summit source deflated at higher rates that peaked at ~8.71 x 105 cubic meters per year during May–November 1997 and continued at ~0.95 x 105 cubic meters per year during the 2006–2011 observation window. Cumulative source-volume loss is comparable to the volume of mud erupted. We interpret the summit source as the volcano’s feeder conduit that pressurized prior to the first SAR observation in 1992. Also before 1992, the conduit ruptured to feed a lateral intrusion of mud under the southwest flank, perhaps along a bedding plane in underlying glaciolacustrine deposits. The growing sill caused the southwest flank to inflate while it accommodated the mud supply from depth, which explains why we observed pre-eruptive inflation of the flank but not the summit. The summit began deflating when the conduit ruptured to the surface at the onset of eruptive activity. The flank source did not deflate concurrently because the weight of the thin overburden was insufficient to collapse the sill. There is a suggestion in the modern topography that lateral intrusions under Shrub’s southwest flank are a common feature of activity there.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2019.106671","usgsCitation":"Niu, Y., Dzurisin, D., and Lu, Z., 2019, Interferometric synthetic aperture radar study of recent eruptive activity at Shrub mud volcano, Alaska: Journal of Volcanology and Geothermal Research, v. 387, 106671 12p., https://doi.org/10.1016/j.jvolgeores.2019.106671.","productDescription":"106671 12p.","ipdsId":"IP-109278","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379173,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2019.106671"},{"id":379196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Shrub Mud Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -145.2886962890625,\n              61.87169117378061\n            ],\n            [\n              -144.5306396484375,\n              61.87169117378061\n            ],\n            [\n              -144.5306396484375,\n              62.37509086856917\n            ],\n            [\n              -145.2886962890625,\n              62.37509086856917\n            ],\n            [\n              -145.2886962890625,\n              61.87169117378061\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"387","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Niu, Yufen","contributorId":242811,"corporation":false,"usgs":false,"family":"Niu","given":"Yufen","email":"","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":800868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":800869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Zhong","contributorId":199794,"corporation":false,"usgs":false,"family":"Lu","given":"Zhong","affiliations":[],"preferred":false,"id":800870,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204513,"text":"ds1117 - 2019 - Alaska Geochemical Database Version 3.0 (AGDB3)—Including “Best Value” Data Compilations for Rock, Sediment, Soil, Mineral, and Concentrate Sample Media","interactions":[],"lastModifiedDate":"2019-09-03T16:45:47","indexId":"ds1117","displayToPublicDate":"2019-09-03T14:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1117","displayTitle":"Alaska Geochemical Database Version 3.0 (AGDB3)—Including “best value” data compilations for rock, sediment, soil, mineral, and concentrate sample media","title":"Alaska Geochemical Database Version 3.0 (AGDB3)—Including “Best Value” Data Compilations for Rock, Sediment, Soil, Mineral, and Concentrate Sample Media","docAbstract":"<p>The Alaska Geochemical Database Version 3.0 (AGDB3) contains new geochemical data compilations in which each geologic material sample has one “best value” determination for each analyzed species, greatly improving speed and efficiency of use. Like the Alaska Geochemical Database Version 2.0 before it, the AGDB3 was created and designed to compile and integrate geochemical data from Alaska to facilitate geologic mapping, petrologic studies, mineral resource assessments, definition of geochemical baseline values and statistics, element concentrations and associations, environmental impact assessments, and studies in public health associated with geology. This relational database, created from data-bases and published datasets of the U.S. Geological Survey (USGS), Atomic Energy Commission National Uranium Resource Evaluation (NURE), Alaska Division of Geological &amp; Geophysical Surveys (DGGS), U.S. Bureau of Mines, and U.S. Bureau of Land Management serves as a data archive in support of Alaskan geologic and geochemical projects and contains data tables in several different formats describing historical and new quantitative and qualitative geochemical analyses. The analytical results were determined by 112 laboratory and field analytical methods on 396,343 rock, sediment, soil, mineral, heavy-mineral concentrate, and oxalic acid leachate samples. Most samples were collected by personnel of these agencies and analyzed in agency laboratories or, under contracts, in commercial analytical laboratories. These data represent analyses of samples collected as part of various agency programs and projects from 1938 through 2017. In addition, mineralogical data from 18,138 nonmagnetic heavy-mineral concentrate samples are included in this database. The AGDB3 includes historical geochemical data archived in the USGS National Geochemical Database (NGDB) and NURE National Uranium Resource Evaluation-Hydrogeochemical&nbsp;and Stream Sediment Reconnaissance databases, and in the DGGS Geochemistry database. Retrievals from these data-bases were used to generate most of the AGDB data set. These data were checked for accuracy regarding sample location, sample media type, and analytical methods used. In other words, the data of AGDB3 supersedes data in the AGDB and the AGDB2, but the background about the data in these two earlier versions are needed by users of the current AGDB3 to understand what has been done to amend, clean up, correct and format this data. Corrections were entered, resulting in a significantly improved Alaska geochemical dataset, the AGDB3. Data that were not previously in these databases because the data predate the earliest agency geochemical data-bases, or were once excluded for programmatic reasons, are included here in the AGDB3 and will be added to the NGDB and Alaska Geochemistry. The AGDB3 data provided here are the most accurate and complete to date and should be useful for a wide variety of geochemical studies. The AGDB3 data provided in the online version of the database may be updated or changed periodically.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ds1117","usgsCitation":"Granitto, M., Wang, B., Shew, N.B., Karl, S.M., Labay, K.A., Werdon, M.B., Seitz, S.S., and Hoppe, J.E., 2019, Alaska Geochemical Database Version 3.0 (AGDB3)—Including “best value” data compilations for rock, sediment, soil, mineral, and concentrate sample media: U.S. Geological Survey Data Series 1117, 33 p., https://doi.org/10.3133/ds1117.","productDescription":"Report: vii, 33 p.; Data release; Read me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099669","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":367033,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98NHRAD","text":"USGS data release","description":"USGS data 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\":{\"name\":\"Alaska\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/gggsc/\" data-mce-href=\"http://www.usgs.gov/centers/gggsc/\">Geology, Geophysics and Geochemistry Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-973<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Geographic Setting</li><li>Methods of Study</li><li>“Best Value” Concept</li><li>Characteristics of the Relational Database</li><li>“Best Value” Data Population</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Analytical Methods</li><li>Appendix 2. Mineral Name Abbreviations</li><li>Appendix 3. Mineralogical Data References</li><li>Appendix 4. Table of Field Relationships of the Alaska Geochemical Database</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-09-03","noUsgsAuthors":false,"publicationDate":"2019-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":767352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Bronwen 0000-0003-1044-2227","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":217713,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":767355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":217712,"corporation":false,"usgs":true,"family":"Shew","given":"Nora B.","email":"nshew@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":767353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":767354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":217714,"corporation":false,"usgs":true,"family":"Labay","given":"Keith","email":"klabay@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":769754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":767357,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seitz, Susan S.","contributorId":217716,"corporation":false,"usgs":false,"family":"Seitz","given":"Susan","email":"","middleInitial":"S.","affiliations":[{"id":39689,"text":"Alaska Division of Geological & Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":767359,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoppe, John E.","contributorId":217715,"corporation":false,"usgs":false,"family":"Hoppe","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":37086,"text":"U.S. Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":767358,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70219470,"text":"70219470 - 2019 - Laboratory experiments of volcanic ash resuspension by wind","interactions":[],"lastModifiedDate":"2021-04-08T12:26:43.585812","indexId":"70219470","displayToPublicDate":"2019-08-27T07:24:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8113,"text":"Journal of Geophysical Research - Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory experiments of volcanic ash resuspension by wind","docAbstract":"<div class=\"article-section__content en main\"><p>Fresh volcanic eruption deposits tend to be loose, bare, and readily resuspended by wind. Major resuspension events in Patagonia, Iceland, and Alaska have lofted ash clouds with potential to impact aircraft, infrastructure, and downwind communities. However, poor constraints on this resuspension process limit our ability to model this phenomenon. Here, we present laboratory experiments measuring threshold shear velocities and emission rates of resuspended ash under different environmental conditions, including relative humidity of 25–75% and simulated rainfall with subsequent drying. Eruption deposits were replicated using ash collected from two major eruptions: the 18 May 1980 eruption of Mount St. Helens and the 1912 eruption of Novarupta, in Alaska's Valley of Ten Thousand Smokes. Samples were conditioned in a laboratory chamber and prepared with bulk deposit densities of 1,300–1,500 kg/m<sup>3</sup>. A control sample of dune sand was included for comparison. The deposits were subjected to different wind speeds using a modified PI‐SWERL® instrument. Under a constant relative humidity of 50% and shear velocities 0.4–0.8 m/s, PM<sub>10</sub><span>&nbsp;</span>emission by resuspension ranged from 10 to &gt;100 mg·m<sup>−2</sup>·s<sup>−1</sup>. Addition of liquid water equivalent to 5 mm of rainfall had little lasting effect on Mount St. Helens wind erosion potential, while the Valley of Ten Thousand Smokes deposits exhibited lower emissions for at least 12 days. The results indicate that particle resuspension due to wind erosion from ash deposits potentially exceeds that of most desert surfaces and approaches some of the highest emissions ever measured.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JD030076","usgsCitation":"Etyemezian, V., Gillies, J., Mastin, L.G., Crawford, A., Hasson, R., Van Eaton, A.R., and Nikolich, G., 2019, Laboratory experiments of volcanic ash resuspension by wind: Journal of Geophysical Research - Atmospheres, v. 124, no. 16, p. 9534-9560, https://doi.org/10.1029/2018JD030076.","productDescription":"27 p.","startPage":"9534","endPage":"9560","ipdsId":"IP-108983","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jd030076","text":"Publisher Index Page"},{"id":384919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"16","noUsgsAuthors":false,"publicationDate":"2019-08-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Etyemezian, Vicken","contributorId":257030,"corporation":false,"usgs":false,"family":"Etyemezian","given":"Vicken","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillies, Jack","contributorId":257031,"corporation":false,"usgs":false,"family":"Gillies","given":"Jack","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Alice","contributorId":257032,"corporation":false,"usgs":false,"family":"Crawford","given":"Alice","email":"","affiliations":[{"id":51961,"text":"National Oceanic and Atmospheric Administration, College Park, MD","active":true,"usgs":false}],"preferred":false,"id":813695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hasson, Robert","contributorId":257033,"corporation":false,"usgs":false,"family":"Hasson","given":"Robert","email":"","affiliations":[{"id":51963,"text":"U.S. Department of Energy, Environmental Management Consolidated Business Center, Cincinnati, OH","active":true,"usgs":false}],"preferred":false,"id":813696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nikolich, G.","contributorId":257034,"corporation":false,"usgs":false,"family":"Nikolich","given":"G.","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813698,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70223496,"text":"70223496 - 2019 - Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change","interactions":[],"lastModifiedDate":"2021-08-31T13:39:20.889311","indexId":"70223496","displayToPublicDate":"2019-08-26T08:30:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change","docAbstract":"<p><span>Stream fish rely on a mix of terrestrial and aquatic prey sources. While the importance of terrestrial invertebrates as a food source for stream fish is well documented, the role of aquatic insects that emerge from the stream as winged adult insects (aquatic winged adults) and return to the stream as prey is less understood. In this study we determined the proportion of total diet for stream-rearing juvenile Coho Salmon (</span><i>Oncorhynchus kisutch)</i><span>&nbsp;that is derived from terrestrial and aquatic winged adult invertebrates which enter the stream from riparian habitats and consider how those cross-ecosystem prey contributions vary based on riparian habitat type. Study reaches were identified in three streams within the Kenai River watershed of Alaska that were representative of habitats found throughout the region and riparian vegetation was classified into grass/sedge, shrub and tree types using LiDAR. Juvenile Coho Salmon stomach contents were sampled seasonally in study reaches over a two-year period and ingested invertebrates were identified by taxa, life stage and origin. Our results showed that aquatic winged adult prey contributions to juvenile salmon diet were significantly lower in the grass/sedge study reach, and cross-ecosystem invertebrate prey represented a significantly higher proportion of juvenile salmon diet in the tree study reach. Invertebrate prey in the grass/sedge reach were composed primarily of the larval life stage of aquatic winged adults. These results suggest that change in riparian vegetation from tree/shrub to grass/sedge along Kenai streams as projected by regional climate change models, or that results from anthropogenic modification, will likely lead to lower availability of cross-ecosystem prey for stream fish. Management of riparian buffers along streams to preserve or increase occurrence of trees and shrubs is likely to help mitigate impacts of those possible changes.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2019.1642243","usgsCitation":"Grunblatt, J., Meyer, B., and Wipfli, M.S., 2019, Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change: Journal of Freshwater Ecology, v. 34, no. 1, p. 617-631, https://doi.org/10.1080/02705060.2019.1642243.","productDescription":"16 p.","startPage":"617","endPage":"631","ipdsId":"IP-103789","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2019.1642243","text":"Publisher Index Page"},{"id":388688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.369384765625,\n              59.77852198502987\n            ],\n            [\n              -148.919677734375,\n              59.77852198502987\n            ],\n            [\n              -148.919677734375,\n              61.312451574838214\n            ],\n            [\n              -152.369384765625,\n              61.312451574838214\n            ],\n            [\n              -152.369384765625,\n              59.77852198502987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Grunblatt, Jess","contributorId":264907,"corporation":false,"usgs":false,"family":"Grunblatt","given":"Jess","affiliations":[{"id":54579,"text":"uak","active":true,"usgs":false}],"preferred":false,"id":822179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Benjamin E.","contributorId":264908,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin E.","affiliations":[{"id":54579,"text":"uak","active":true,"usgs":false}],"preferred":false,"id":822180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204921,"text":"70204921 - 2019 - The Yellow-billed Loon","interactions":[],"lastModifiedDate":"2019-08-26T11:27:56","indexId":"70204921","displayToPublicDate":"2019-08-21T11:21:13","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":161,"text":"Birds of North America","active":false,"publicationSubtype":{"id":3}},"title":"The Yellow-billed Loon","docAbstract":"<p><span>The Yellow-billed Loon, known in Europe as the White-billed Diver, is a relatively rare bird nesting in arctic tundra regions of North America and Eurasia. This species was first described by G. R. Gray in 1859 (</span><span class=\"ToggleUp\">1</span><span>), and named (</span><i class=\"SciName notranslate\">Gavia adamsii</i><span>) after the surgeon Dr. Edward Adams (who collected the first specimen) aboard the H.M.S.&nbsp;</span><i>Enterprise</i><span>&nbsp;on a voyage through Bering Strait. The Yellow-billed Loon is closely related and similar in appearance to the&nbsp;</span>Common Loon<span>&nbsp;(</span><i class=\"SciName notranslate\">G. immer</i><span>), but distinguished from the latter by bill shape and color. Further, the Yellow-billed Loon breeds generally north of the range of its more widespread relative, although the 2 species overlap on marine wintering grounds in the Pacific Northwest. Increasingly, however, vagrant Yellow-billed Loons have been recorded wintering well inland in North America, a phenomenon that likely stems in part from improved information on field identification of loons in Basic plumage.</span></p>","language":"English","publisher":"Cornell Lab of Ornithology","doi":"10.2173/bna.yebloo.02","usgsCitation":"Uher-Koch, B.D., North, M., and Schmutz, J.A., 2019, The Yellow-billed Loon: Birds of North America, https://doi.org/10.2173/bna.yebloo.02.","onlineOnly":"Y","ipdsId":"IP-098575","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":366913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366836,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.2173/bna.yebloo.02"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":769031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"North, Mike","contributorId":218334,"corporation":false,"usgs":false,"family":"North","given":"Mike","email":"","affiliations":[{"id":33419,"text":"USFWS (retired)","active":true,"usgs":false}],"preferred":false,"id":769033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":769032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204559,"text":"ds1115 - 2019 - Catalog of earthquake parameters and description of seismograph and infrasound stations at Alaskan volcanoes—January 1, 2013, through December 31, 2017","interactions":[],"lastModifiedDate":"2019-08-21T15:23:24","indexId":"ds1115","displayToPublicDate":"2019-08-21T09:34:53","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1115","displayTitle":"Catalog of Earthquake Parameters and Description of Seismograph and Infrasound Stations at Alaskan Volcanoes—January 1, 2013, through December 31, 2017","title":"Catalog of earthquake parameters and description of seismograph and infrasound stations at Alaskan volcanoes—January 1, 2013, through December 31, 2017","docAbstract":"<div>Between January 1, 2013, and December 31, 2017, the Alaska Volcano Observatory (AVO) located a total of 28,172 earthquakes at volcanoes in Alaska. The annual totals are 3,840, 5,819, 5,297, 6,151, and 7,065 earthquakes for the years 2013 through 2017, respectively. This represents an average of 5,634 earthquakes per year, which is comparable to the yearly number of earthquakes AVO located in the previous decade when AVO monitored a similar number of volcanoes. During the reporting period, there was significant seismic activity at 20 of the 34 volcanoes monitored by a seismograph network (Akutan Peak, Aniakchak Crater, Augustine, Mount Cerberus, Mount Cleveland, Fourpeaked Mountain, Mount Gareloi, Great Sitkin, Ilimana, Kanaga, Korovin, Makushin, Mount Martin, Okmok Caldera, Pavlof, Shishaldin, Mount Spurr, Tanaga, Ugashik-Peulik, and Mount Veniaminof) and two volcanoes without a monitoring network (Mount Recheshnoi and Bogoslof Island). Instrumentation highlights for this period include the establishment of a new subnetwork on Mount Cleveland, an accelerated transition from analog to digital telemetry at most subnetworks, and an increased number of broadband and infrasound sensors throughout the AVO network. The operational highlight was the return of seismic monitoring at Korovin and Ugashik-Peulik Volcanoes following network repairs. This catalog includes hypocenters, magnitudes, and statistics of the earthquakes located in 2013–17, along with the associated station parameters, and velocity models.</div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1115","usgsCitation":"Dixon, J.P., Stihler S.D., Haney, M.M., Lyons, J.J., Ketner, D.M., Mulliken, K.M., Parker, T., and Power, J.A., 2019, Catalog of earthquake parameters and description of seismograph and infrasound stations at Alaskan volcanoes—January 1, 2013, through December 31, 2017: U.S. Geological Survey Data Series 1115, 92 p., https://doi.org/10.3133/ds1115.","productDescription":"Report: xi, 92 p.; Datasets; Metadata; Read Me","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099710","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science 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href=\"mailto:tlmurray@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:tlmurray@usgs.gov\">Director</a>,<br><a href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/\">Volcano Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Instrumentation</li><li>Data Acquisition and Processing</li><li>Seismic-Velocity Models</li><li>Seismicity</li><li>Summary</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Dixon, James P. 0000-0002-8478-9971 jpdixon@usgs.gov","orcid":"https://orcid.org/0000-0002-8478-9971","contributorId":3163,"corporation":false,"usgs":true,"family":"Dixon","given":"James","email":"jpdixon@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stihler, Scott D. 0000-0002-3585-7050","orcid":"https://orcid.org/0000-0002-3585-7050","contributorId":215242,"corporation":false,"usgs":false,"family":"Stihler","given":"Scott","email":"","middleInitial":"D.","affiliations":[{"id":39214,"text":"Alaska Volcano Observatory, UAFGI.","active":true,"usgs":false}],"preferred":false,"id":767562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":767563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ketner, Dane M. 0000-0002-1610-0773","orcid":"https://orcid.org/0000-0002-1610-0773","contributorId":217809,"corporation":false,"usgs":true,"family":"Ketner","given":"Dane","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mulliken, Katherine M. 0000-0003-4190-5060","orcid":"https://orcid.org/0000-0003-4190-5060","contributorId":217810,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":767566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parker, Thomas 0000-0002-3006-5652 tparker@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-5652","contributorId":215241,"corporation":false,"usgs":true,"family":"Parker","given":"Thomas","email":"tparker@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":767568,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767567,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70237773,"text":"70237773 - 2019 - Potential shifts in zooplankton community structure in response to changing ice regimes and hydrologic connectivity","interactions":[],"lastModifiedDate":"2022-10-25T10:56:40.44597","indexId":"70237773","displayToPublicDate":"2019-08-20T10:36:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential shifts in zooplankton community structure in response to changing ice regimes and hydrologic connectivity","docAbstract":"<p><span>Changing Arctic climate may alter freshwater ecosystems as a result of warmer surface waters, longer open-water periods, reduced wintertime lake ice growth, and altered hydrologic connectivity. This study aims to characterize zooplankton community composition and size structure in the context of hydrologic connectivity and ice regimes in Arctic lakes. Between 2011 and 2016, we sampled the phytoplankton, zooplankton, and fish communities from a set of representative lakes on the Arctic Coastal Plain (ACP) of northern Alaska to determine potential food web responses to changing Arctic ecosystems. Multivariate analyses showed that time from ice-out had a strong influence on zooplankton community structure and that seasonal succession of zooplankton differed between lakes with varying hydrologic connectivity. Trends were observed suggesting that large-bodied zooplankton (</span><i>Daphnia</i><span>, calanoid copepods) may be more prevalent in poorly connected lakes with low fish diversity. Large-bodied zooplankton displayed higher biomass in lakes with high occurrences of bedfast ice, while small-bodied zooplankton (</span><i>Bosmina</i><span>, rotifers) displayed highest biomass in deeper lakes with low occurrences of bedfast ice. Our results contribute to limited knowledge of zooplankton in remote lakes of the ACP and suggest that the anticipated changes to aquatic ecosystems in the Arctic may include energetically less efficient plankton food webs.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230430.2019.1643210","usgsCitation":"Beaver, J.R., Arp, C.D., Tausz, C.E., Jones, B.M., Whitman, M.S., Renicker, T.R., Samples, E.E., Ordosch, D.M., and Scotese, K.C., 2019, Potential shifts in zooplankton community structure in response to changing ice regimes and hydrologic connectivity: Arctic, Antarctic, and Alpine Research, v. 51, no. 1, p. 327-345, https://doi.org/10.1080/15230430.2019.1643210.","productDescription":"19 p.","startPage":"327","endPage":"345","ipdsId":"IP-086427","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":467357,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70204649,"text":"pp1814E - 2019 - Soil mineralogy and geochemistry along a north-south transect in Alaska and the relation to source-rock terrane","interactions":[{"subject":{"id":70204649,"text":"pp1814E - 2019 - Soil mineralogy and geochemistry along a north-south transect in Alaska and the relation to source-rock terrane","indexId":"pp1814E","publicationYear":"2019","noYear":false,"chapter":"E","displayTitle":"Soil Mineralogy and Geochemistry Along a North-South Transect in Alaska and the Relation to Source-Rock Terrane","title":"Soil mineralogy and geochemistry along a north-south transect in Alaska and the relation to source-rock terrane"},"predicate":"IS_PART_OF","object":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"id":1}],"isPartOf":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"lastModifiedDate":"2019-08-13T14:05:15","indexId":"pp1814E","displayToPublicDate":"2019-08-12T13:50:50","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1814","chapter":"E","displayTitle":"Soil Mineralogy and Geochemistry Along a North-South Transect in Alaska and the Relation to Source-Rock Terrane","title":"Soil mineralogy and geochemistry along a north-south transect in Alaska and the relation to source-rock terrane","docAbstract":"<p><span>Soils collected along a predominately north-south transect in Alaska were used to evaluate regional differences in the soil mineralogy and geochemistry in the context of a geotectonic framework for Alaska. The approximately 1,395-kilometer-long transect followed the Dalton, Elliott, and Richardson Highways from near Prudhoe Bay to Valdez. Sites were selected with a site spacing of approximately 10 road-kilometers; soil was sampled by soil horizon at 175 sites. Terrane boundaries were estimated from digitized versions of the lithotectonic terrane map of Alaska (Silberling and others, 1994). Terrane assignments for each site were based on the site’s distance along the transect. We also present data for 15 minerals or mineral groups and 58 elements, as well as total, inorganic, and organic carbon. Quantitative mineralogy of the mineral-soil horizons was characterized by X-ray diffraction. Elemental contents were determined by a combination of inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS) analysis following a multi-acid or sodium-sinter decomposition of the samples. Total carbon and carbonate carbon contents were determined using an automated carbon analyzer and coulometric titration, respectively; organic carbon content was obtained by calculating the difference between total and carbonate carbon. Mercury and selenium were analyzed using cold-vapor atomic absorption (CV-AA), and hydride-generation atomic absorption spectrometry (HG-AAS), respectively. The mineralogical and geochemical patterns from these soils are used to assess the relation between soil characteristics and the geology of surrounding terranes.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814E","usgsCitation":"Wang, B., Hults, C., Eberl, D., Woodruff, L., Cannon, W., and Gough, L., 2019, Soil mineralogy and geochemistry along a north-south transect in Alaska and the relation to source-rock terrane in Dumoulin, J.A., ed., Studies by the U.S. Geological Survey in Alaska, vol. 15: U.S. Geological Survey Professional Paper 1814–E, 27 p., https://doi.org/10.3133/pp1814E.","productDescription":"Report: v, 27 p.; 4 Appendixes","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092422","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":366450,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1814/e/pp1814e_appendix1.pdf","text":"Appendix 1","size":"964 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1814 Chapter E Appendix 1","linkHelpText":" — Summary Statisitics for Chemical Analyses of Soil Samples from the North-South Transect of Alaska"},{"id":366449,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/e/pp1814e.pdf","text":"Report","size":"7.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1814 Chapter E"},{"id":366448,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1814/e/coverthb.jpg"},{"id":366451,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1814/e/pp1814e_appendix_2.pdf","text":"Appendix 2","size":"777 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1814 Chapter E Appendix 2","linkHelpText":" — Plots of mineral contents in soil samples from the upper and lower mineral soil horizons at sites along the north-south transect of Alaska"},{"id":366452,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1814/e/pp1814e_appendix_3.pdf","text":"Appendix 3","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1814 Chapter E Appendix 3","linkHelpText":" — Box plots of elemental contents in soil samples at sites along the north-south transect of Alaska"},{"id":366453,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1814/e/pp1814e_appendix_4.xlsx","text":"Appendix 4","size":"531 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1814 Chapter E Appendix 4","linkHelpText":" — Mineralogical and chemical data for all transect soil samples, standard reference materials, and laboratory splits"}],"country":"United 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href=\"https://alaska.usgs.gov/staff/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://alaska.usgs.gov/staff/\">Alaska Science Center staff</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>4210 University Dr.<br>Anchorage, AK 99508<br><a href=\"https://www.usgs.gov/centers/asc/science-topics/mineral-resources\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/science-topics/mineral-resources\">Alaska Mineral Resources</a><br><a href=\"https://alaska.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://alaska.usgs.gov/\">Alaska Science Center</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Site Selection, Sampling, and Terrane Assignment</li><li>Sample Preparation, Submittal, and Analysis Methods</li><li>Data Summaries</li><li>Using a Geotectonic Framework to Understand Regional Differences in Soil Mineralogy and Geochemistry</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-12","noUsgsAuthors":false,"publicationDate":"2019-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Bronwen 0000-0003-1044-2227","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":217957,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":767909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hults, Chad P. chults@usgs.gov","contributorId":1930,"corporation":false,"usgs":true,"family":"Hults","given":"Chad","email":"chults@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":767910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eberl, Dennis D.","contributorId":68388,"corporation":false,"usgs":true,"family":"Eberl","given":"Dennis","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":767911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":767912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cannon, William F. 0000-0002-2699-8118 wcannon@usgs.gov","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":1883,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"wcannon@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":767913,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gough, Larry P. lgough@usgs.gov","contributorId":1230,"corporation":false,"usgs":true,"family":"Gough","given":"Larry","email":"lgough@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":767914,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205208,"text":"70205208 - 2019 - Confronting models with data: The challenges of estimating disease spillover","interactions":[],"lastModifiedDate":"2019-09-06T10:33:08","indexId":"70205208","displayToPublicDate":"2019-08-12T10:29:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Confronting models with data: The challenges of estimating disease spillover","docAbstract":"For pathogens known to transmit across host species, strategic investment in disease control requires knowledge about where and when spillover transmission is likely. One approach to estimating spillover is to directly correlate observed spillover events with covariates. An alternative is to mechanistically combine information on host density, distribution, and pathogen prevalence to predict where and when spillover events are expected to occur. We use several case studies at the wildlife-livestock disease interface to highlight the challenges, and potential solutions, to estimating spatio-temporal variation in spillover risk. Datasets on multiple host species often do not align in space, time or resolution, and may have no estimates of observation error. Linking these datasets requires they be related to a common spatial and temporal resolution and appropriately propagating errors in predictions can be difficult. Hierarchical models are one potential solution, but for fine-resolution predictions at broad spatial scales many models become computationally challenging. Despite these limitations, the confrontation of mechanistic predictions with observed events is an important avenue for developing a better understanding of pathogen spillover. Systems where data have been collected at all levels in the spillover process are rare, or non-existent, and require investment and sustained effort across disciplines.","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2018.0435","usgsCitation":"Cross, P.C., Prosser, D., Ramey, A.M., Hanks, E.M., and Pepin, K., 2019, Confronting models with data: The challenges of estimating disease spillover: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 374, no. 1782, 20180435, https://doi.org/10.1098/rstb.2018.0435.","productDescription":"20180435","ipdsId":"IP-103613","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6711303","text":"Publisher Index Page"},{"id":367254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"374","issue":"1782","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":770369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":770370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":770371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanks, Ephraim M. 0000-0003-0345-7164","orcid":"https://orcid.org/0000-0003-0345-7164","contributorId":210840,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":770372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pepin, Kim M. 0000-0002-9931-8312","orcid":"https://orcid.org/0000-0002-9931-8312","contributorId":187441,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim M.","affiliations":[],"preferred":false,"id":770373,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204676,"text":"70204676 - 2019 - An initial assessment of areas where landslides could enter the West Arm of Glacier Bay, Alaska and implications for tsunami hazards","interactions":[],"lastModifiedDate":"2019-08-09T12:41:22","indexId":"70204676","displayToPublicDate":"2019-08-07T12:41:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"An initial assessment of areas where landslides could enter the West Arm of Glacier Bay, Alaska and implications for tsunami hazards","docAbstract":"Tsunamis generated by landslides in Glacier Bay are uncommon, but have potential to be extraordinarily destructive when they occur. This article identifies areas that are susceptible to landslides that could generate tsunamis and discusses approaches to characterize hazard and risk from these events.","language":"English","publisher":"US National Park Service","usgsCitation":"Coe, J.A., Schmitt, R.G., and Bessette-Kirton, E., 2019, An initial assessment of areas where landslides could enter the West Arm of Glacier Bay, Alaska and implications for tsunami hazards: Alaska Park Science, v. 18, no. 1, p. 26-37.","productDescription":"12 p.","startPage":"26","endPage":"37","ipdsId":"IP-106069","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":366389,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/aps-18-1-4.htm"},{"id":366447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.8170166015625,\n              59.85585085709834\n            ],\n            [\n              -140.90240478515622,\n              59.85585085709834\n            ],\n            [\n              -140.90240478515622,\n              60.19342537315118\n            ],\n            [\n              -141.8170166015625,\n              60.19342537315118\n            ],\n            [\n              -141.8170166015625,\n              59.85585085709834\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":768034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":768035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bessette-Kirton, Erin 0000-0002-2797-0694 ebessette-kirton@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":177153,"corporation":false,"usgs":true,"family":"Bessette-Kirton","given":"Erin","email":"ebessette-kirton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":768036,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206467,"text":"70206467 - 2019 - Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","interactions":[],"lastModifiedDate":"2023-06-21T15:28:30.150596","indexId":"70206467","displayToPublicDate":"2019-08-03T10:38:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","docAbstract":"<p><span>Influenza A viruses are one of the most significant viral groups globally with substantial impacts on human, domestic animal and wildlife health. Wild birds are the natural reservoirs for these viruses, and active surveillance within wild bird populations provides critical information about viral evolution forming the basis of risk assessments and countermeasure development. Unfortunately, active surveillance programs are often resource‐intensive, and thus, enhancing programs for increased efficiency is paramount. Machine learning, a branch of artificial intelligence applications, provides statistical learning procedures that can be used to gain novel insights into disease surveillance systems. We use a form of machine learning, gradient boosted trees, to estimate the probability of isolating avian influenza viruses (AIV) from wild bird samples collected during surveillance for AIVs from 2006 to 2011 in the United States. We examined several predictive features including age, sex, bird type, geographic location and matrix gene rRT‐PCR results. Our final model had high predictive power and only included geographic location and rRT‐PCR results as important predictors. The highest predicted viral isolation probability was for samples collected from the north‐central states and the south‐eastern region of Alaska. Lower rRT‐PCR Ct‐values are associated with increased likelihood of AIV isolation, and the model estimated 16% probability of isolating AIV from samples declared negative (i.e., ≥35 Ct‐value) using the rRT‐PCR screening test and standard protocols. Our model can be used to prioritize previously collected samples for isolation and rapidly evaluate AIV surveillance designs to maximize the probability of viral isolation given limited resources and laboratory capacity.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/tbed.13318","usgsCitation":"Walsh, D.P., Ma, T.F., Ip, S., and Zhu, J., 2019, Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses: Transboundary and Emerging Diseases, v. 66, no. 6, p. 2537-2545, https://doi.org/10.1111/tbed.13318.","productDescription":"9 p.; Data Release","startPage":"2537","endPage":"2545","ipdsId":"IP-109212","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":467396,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/tbed.13318","text":"Publisher Index Page"},{"id":368966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418298,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96YJRWR"}],"volume":"66","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, Ting Fung","contributorId":220321,"corporation":false,"usgs":false,"family":"Ma","given":"Ting","email":"","middleInitial":"Fung","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":774747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":774749,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206565,"text":"70206565 - 2019 - Book review: Discovery of Oyu Tolgoi: A case study of mineral and geological exploration","interactions":[],"lastModifiedDate":"2019-11-11T10:58:16","indexId":"70206565","displayToPublicDate":"2019-08-01T10:56:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Discovery of Oyu Tolgoi: A case study of mineral and geological exploration","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"GeoScience World","doi":"10.5382/econgeo.114.5.br01","usgsCitation":"Kreiner, D.C., 2019, Book review: Discovery of Oyu Tolgoi: A case study of mineral and geological exploration: Economic Geology, v. 114, no. 5, p. 1013-1014, https://doi.org/10.5382/econgeo.114.5.br01.","productDescription":"2 p.","startPage":"1013","endPage":"1014","ipdsId":"IP-109657","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":369109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":774985,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70207197,"text":"70207197 - 2019 - The 2016 Lamplugh rock avalanche, Alaska: Deposit structures and emplacement dynamics","interactions":[],"lastModifiedDate":"2019-12-11T14:28:32","indexId":"70207197","displayToPublicDate":"2019-07-26T14:26:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"The 2016 Lamplugh rock avalanche, Alaska: Deposit structures and emplacement dynamics","docAbstract":"Supraglacial landslides result from the catastrophic failure of periglacial rock slopes and deposit large volumes of rock and ice onto the glacier surface. The most remarkable features of these landslides are their prominent long flowbands and a high mobility that exceeds that of their counterparts in other environments. Based on field surveys, high-resolution digital elevation models, and continuous seismic data, we show that the emplacement dynamics of the 2016 rock avalanche on Lamplugh Glacier were characterized by two distinct stages. During the first stage, the debris traveled about 5 km from the base of the slope. Clear long-period seismic signals during this stage record strong interactions of the rock avalanche debris with the ground, suggesting dynamic processes such as grain collisions and fragmentation. The second stage was essentially aseismic at long periods and dominated by low-friction sliding at slow deceleration rates. A higher density of flowbands and increased entrainment of snow from the runout path characterize the morphology of this second-stage distal deposition. Around the margins, lobes are offset by up to 400 m along major strike-slip faults, whereas within individual lobes, offsets between flowbands are much less pronounced (0 to < 10 m). The two-stage emplacement model may explain the higher apparent mobility of supraglacial landslides.","language":"English","publisher":"Springer","doi":"10.1007/s10346-019-01225-4","usgsCitation":"Dufresne, A., Wolken, G., Hibert, C., Bessette-Kirton, E., Coe, J.A., Geertsema, M., and Ekström, G., 2019, The 2016 Lamplugh rock avalanche, Alaska: Deposit structures and emplacement dynamics: Landslides, v. 16, no. 12, p. 2301-2319, https://doi.org/10.1007/s10346-019-01225-4.","productDescription":"19 p.","startPage":"2301","endPage":"2319","ipdsId":"IP-107730","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":370180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","otherGeospatial":"Glacier Bay National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -138.25195312499997,\n              58.18808048517292\n            ],\n            [\n              -135.9832763671875,\n              58.18808048517292\n            ],\n            [\n              -135.9832763671875,\n              59.00662762374203\n            ],\n            [\n              -138.25195312499997,\n              59.00662762374203\n            ],\n            [\n              -138.25195312499997,\n              58.18808048517292\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Dufresne, A.","contributorId":221163,"corporation":false,"usgs":false,"family":"Dufresne","given":"A.","email":"","affiliations":[{"id":40343,"text":"RWTH-Aachen University, Lochnerstr,  Aachen, Germany","active":true,"usgs":false}],"preferred":false,"id":777251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolken, G.","contributorId":146508,"corporation":false,"usgs":false,"family":"Wolken","given":"G.","email":"","affiliations":[],"preferred":false,"id":777252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hibert, C","contributorId":221164,"corporation":false,"usgs":false,"family":"Hibert","given":"C","email":"","affiliations":[{"id":40344,"text":"University of Strasbourg/EOST, Strasbourg, France","active":true,"usgs":false}],"preferred":false,"id":777253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bessette-Kirton, Erin 0000-0002-2797-0694 ebessette-kirton@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":177153,"corporation":false,"usgs":true,"family":"Bessette-Kirton","given":"Erin","email":"ebessette-kirton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":777255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Geertsema, M. 0000-0002-4650-8251","orcid":"https://orcid.org/0000-0002-4650-8251","contributorId":167412,"corporation":false,"usgs":false,"family":"Geertsema","given":"M.","affiliations":[],"preferred":false,"id":777256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ekström, G","contributorId":221165,"corporation":false,"usgs":false,"family":"Ekström","given":"G","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":777257,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70205299,"text":"70205299 - 2019 - Giving ecological meaning to satellite-derived fire severity metrics across North American forests","interactions":[],"lastModifiedDate":"2026-01-21T16:28:34.513942","indexId":"70205299","displayToPublicDate":"2019-07-23T14:29:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Giving ecological meaning to satellite-derived fire severity metrics across North American forests","docAbstract":"<p><span>Satellite-derived spectral indices such as the relativized burn ratio (RBR) allow fire severity maps to be produced in a relatively straightforward manner across multiple fires and broad spatial extents. These indices often have strong relationships with field-based measurements of fire severity, thereby justifying their widespread use in management and science. However, satellite-derived spectral indices have been criticized because their non-standardized units render them difficult to interpret relative to on-the-ground fire effects. In this study, we built a Random Forest model describing a field-based measure of fire severity, the composite burn index (CBI), as a function of multiple spectral indices, a variable representing spatial variability in climate, and latitude. CBI data primarily representing forested vegetation from 263 fires (8075 plots) across the United States and Canada were used to build the model. Overall, the model performed well, with a cross-validated R</span><sup>2</sup><span>&nbsp;of 0.72, though there was spatial variability in model performance. The model we produced allows for the direct mapping of CBI, which is more interpretable compared to spectral indices. Moreover, because the model and all spectral explanatory variables were produced in Google Earth Engine, predicting and mapping of CBI can realistically be undertaken on hundreds to thousands of fires. We provide all necessary code to execute the model and produce maps of CBI in Earth Engine. This study and its products will be extremely useful to managers and scientists in North America who wish to map fire effects over large landscapes or regions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs11141735","usgsCitation":"Parks, S., Holsinger, L.M., Koontz, M.J., Collins, L.S., Whitman, E., Parisien, M., Loehman, R.A., Barnes, J.L., Bourdon, J., Boucher, J., Boucher, Y., Caprio, A.C., Collingwood, A., Hall, R., Park, J., Saperstein, L., Smetanka, C., Smith, R.J., and Soverel, N., 2019, Giving ecological meaning to satellite-derived fire severity metrics across North American forests: Remote Sensing, v. 11, 1735, 19 p., https://doi.org/10.3390/rs11141735.","productDescription":"1735, 19 p.","ipdsId":"IP-109412","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":460326,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11141735","text":"Publisher 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Université Laval","active":true,"usgs":false}],"preferred":false,"id":770799,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boucher, Jonathan","contributorId":218969,"corporation":false,"usgs":false,"family":"Boucher","given":"Jonathan","email":"","affiliations":[{"id":39945,"text":"Société de protection des forêts contre le feu","active":true,"usgs":false}],"preferred":false,"id":770800,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Boucher, Yan","contributorId":218970,"corporation":false,"usgs":false,"family":"Boucher","given":"Yan","email":"","affiliations":[{"id":39946,"text":"Centre for Forest Research, Université du Québec à Montréal","active":true,"usgs":false}],"preferred":false,"id":770801,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Caprio, Anthony C.","contributorId":200205,"corporation":false,"usgs":false,"family":"Caprio","given":"Anthony","email":"","middleInitial":"C.","affiliations":[{"id":34646,"text":"Sequoia and Kings Canyon National Parks, Three Rivers, CA","active":true,"usgs":false}],"preferred":false,"id":770802,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Collingwood, Adam","contributorId":218971,"corporation":false,"usgs":false,"family":"Collingwood","given":"Adam","email":"","affiliations":[{"id":6658,"text":"Parks Canada","active":true,"usgs":false}],"preferred":false,"id":770803,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hall, Ron","contributorId":218972,"corporation":false,"usgs":false,"family":"Hall","given":"Ron","email":"","affiliations":[{"id":13584,"text":"Natural Resources Canada, Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":770804,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Park, Jane","contributorId":218973,"corporation":false,"usgs":false,"family":"Park","given":"Jane","email":"","affiliations":[{"id":6658,"text":"Parks Canada","active":true,"usgs":false}],"preferred":false,"id":770805,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Saperstein, Lisa","contributorId":218974,"corporation":false,"usgs":false,"family":"Saperstein","given":"Lisa","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":770806,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Smetanka, Charlotte","contributorId":218975,"corporation":false,"usgs":false,"family":"Smetanka","given":"Charlotte","email":"","affiliations":[{"id":39947,"text":"Department of Applied Geomatics, Université de Sherbrooke","active":true,"usgs":false}],"preferred":false,"id":770807,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Smith, Rebecca J.","contributorId":229064,"corporation":false,"usgs":false,"family":"Smith","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":41574,"text":"National Park Service, Yellowstone National Park, PO Box 168, 22 Stable Street, Yellowstone National Park, WY, 82190, USA","active":true,"usgs":false}],"preferred":false,"id":770808,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Soverel, Nick","contributorId":218977,"corporation":false,"usgs":false,"family":"Soverel","given":"Nick","email":"","affiliations":[{"id":39948,"text":"Self-employed","active":true,"usgs":false}],"preferred":false,"id":770809,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70204580,"text":"70204580 - 2019 - The Aleutian Low – Beaufort Sea Anticyclone: A climate index for predicting the timing of springtime melt in the Pacific Arctic cryosphere","interactions":[],"lastModifiedDate":"2019-08-07T09:00:42","indexId":"70204580","displayToPublicDate":"2019-07-16T12:10:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The Aleutian Low – Beaufort Sea Anticyclone: A climate index for predicting the timing of springtime melt in the Pacific Arctic cryosphere","docAbstract":"Early and late extremes in the timing of snowmelt have recently been observed in the Pacific Arctic. Subseasonal-to-seasonal forecasts of this timing are important for industry, environmental management and Arctic communities. In northern Alaska, the timing is influenced by the advection of marine air from the north Pacific by the Aleutian Low, modulated by high pressure centered in the Beaufort Sea. A new climate index that integrates their interaction could advance melt predictions. We define this index based on 850 hPa geopotential height at four fixed locations referred to as the Aleutian Low –Beaufort Sea Anticyclone (ALBSA). During positive ALBSA in May, advection of +0.5-1.5 K/day is observed through the Bering Strait. ALBSA is correlated with both snowmelt in northern Alaska and the onset of sea ice melt over the adjacent seas. ALBSA, therefore, may be suitable for monitoring the relevant circulation patterns and for developing predictive tools.","language":"English","publisher":"AGU","doi":"10.1029/2019GL083306","usgsCitation":"Cox, C.J., Stone, R.S., Douglas, D., Stanitski, D., and Gallagher, M., 2019, The Aleutian Low – Beaufort Sea Anticyclone: A climate index for predicting the timing of springtime melt in the Pacific Arctic cryosphere: Geophysical Research Letters, v. 46, no. 13, p. 7464-7473, https://doi.org/10.1029/2019GL083306.","productDescription":"10 p.","startPage":"7464","endPage":"7473","ipdsId":"IP-101278","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":467451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl083306","text":"Publisher Index Page"},{"id":366304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"13","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cox, Christopher J.","contributorId":199259,"corporation":false,"usgs":false,"family":"Cox","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":767624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Robert S.","contributorId":199260,"corporation":false,"usgs":false,"family":"Stone","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":767625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":767623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanitski, Diane","contributorId":199261,"corporation":false,"usgs":false,"family":"Stanitski","given":"Diane","email":"","affiliations":[],"preferred":false,"id":767626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallagher, Michael","contributorId":217833,"corporation":false,"usgs":false,"family":"Gallagher","given":"Michael","email":"","affiliations":[{"id":39697,"text":"Cooperative Institute for Research in Environmental Sciences, NOAA Physical Sciences Division, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":767627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205024,"text":"70205024 - 2019 - Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada","interactions":[],"lastModifiedDate":"2019-10-09T09:54:57","indexId":"70205024","displayToPublicDate":"2019-07-12T12:58:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada","docAbstract":"<p><span>Exhumation and landscape evolution along strike‐slip fault systems reflect tectonic processes that accommodate and partition deformation in orogenic settings. We present 17 new apatite (U‐Th)/He (He), zircon He, apatite fission‐track (FT), and zircon FT dates from the eastern Denali fault zone (EDFZ) that bounds the Kluane Ranges in Yukon, Canada. The dates elucidate patterns of deformation along the EDFZ. Mean apatite He, apatite FT, zircon He, and zircon FT sample dates range within ~26–4, ~110–12, ~94–28, and ~137–83 Ma, respectively. A new zircon U‐Pb date of 113.9 ± 1.7 Ma (2</span><i>σ</i><span>) complements existing geochronology and aids in interpretation of low‐temperature thermochronometry data patterns. Samples ≤2 km southwest of the EDFZ trace yield the youngest thermochronometry dates. Multimethod thermochronometry, zircon He date‐effective U patterns, and thermal history modeling reveal rapid cooling ~95–75 Ma, slow cooling ~75–30 Ma, and renewed rapid cooling ~30 Ma to present. The magnitude of net surface uplift constrained by published paleobotanical data, exhumation, and total surface uplift from ~30 Ma to present are ~1, ~2–6, and ~1–7 km, respectively. Exhumation is highest closest to the EDFZ trace but substantially lower than reported for the central Denali fault zone. We infer exhumation and elevation changes associated with ~95–75 Ma terrane accretion and EDFZ activity, relief degradation from ~75–30 Ma, and ~30 Ma to present exhumation and surface uplift as a response to flat‐slab subduction and transpressional deformation. Integrated results reveal new constraints on landscape evolution within the Kluane Ranges directly tied to the EDFZ during the last ~100 Myr.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2019TC005545","usgsCitation":"McDermott, R.G., Ault, A.K., Caine, J.S., and Thomson, S.N., 2019, Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada: Tectonics, v. 38, no. 8, p. 2983-3010, https://doi.org/10.1029/2019TC005545.","productDescription":"28 p.","startPage":"2983","endPage":"3010","ipdsId":"IP-105959","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019tc005545","text":"Publisher Index Page"},{"id":367017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Denali Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.390625,\n              58.56252272853734\n            ],\n            [\n              -135.17578125,\n              58.56252272853734\n            ],\n            [\n              -135.17578125,\n              64.28275952823394\n            ],\n            [\n              -155.390625,\n              64.28275952823394\n            ],\n            [\n              -155.390625,\n              58.56252272853734\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McDermott, Robert G. 0000-0002-2550-0322","orcid":"https://orcid.org/0000-0002-2550-0322","contributorId":218595,"corporation":false,"usgs":false,"family":"McDermott","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":769611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ault, Alexis K. 0000-0001-6361-3179","orcid":"https://orcid.org/0000-0001-6361-3179","contributorId":218596,"corporation":false,"usgs":false,"family":"Ault","given":"Alexis","email":"","middleInitial":"K.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":769612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":769610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomson, Stuart N. 0000-0003-4331-5654","orcid":"https://orcid.org/0000-0003-4331-5654","contributorId":218597,"corporation":false,"usgs":false,"family":"Thomson","given":"Stuart","email":"","middleInitial":"N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":769613,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204787,"text":"70204787 - 2019 - Filling knowledge gaps in a threatened shorebird flyway through satellite tracking","interactions":[],"lastModifiedDate":"2019-10-09T09:42:38","indexId":"70204787","displayToPublicDate":"2019-07-12T07:01:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Filling knowledge gaps in a threatened shorebird flyway through satellite tracking","docAbstract":"<ol class=\"\"><li>Satellite‐based technologies that track individual animal movements enable the mapping of their spatial and temporal patterns of occurrence. This is particularly useful in poorly studied or remote regions where there is a need for the rapid gathering of relevant ecological knowledge to inform management actions. One such region is East Asia, where many intertidal habitats are being degraded at unprecedented rates and shorebird populations relying on these habitats show rapid declines.</li><li>We examine the utility of satellite tracking to accelerate the identification of coastal sites of conservation importance in the East Asian–Australasian Flyway. In 2015–2017, we used solar‐powered satellite transmitters to track the migration of 32 great knots (<i>Calidris tenuirostris</i>), an “Endangered” shorebird species widely distributed in the Flyway and fully dependent on intertidal habitats for foraging during the non‐breeding season.</li><li>From the great knot tracks, a total of 92 stopping sites along the Flyway were identified. Surprisingly, 63% of these sites were not known as important shorebird sites before our study; in fact, every one of the tracked individuals used sites that were previously unrecognized.</li><li>Site knowledge from on‐ground studies in the Flyway is most complete for the Yellow Sea and generally lacking for Southeast Asia, Southern China and Eastern Russia.</li><li><i>Synthesis and applications</i>. Satellite tracking highlighted coastal habitats that are potentially important for shorebirds but lack ecological information and conservation recognition, such as those in Southern China and Southeast Asia. At the same time, the distributional data of tracked individuals can direct on‐ground surveys at the lesser known sites to collect information on bird numbers and habitat characteristics. To recognize and subsequently protect valuable coastal habitats, filling knowledge gaps by integrating bird tracking with ground‐based methods should be prioritized.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13474","usgsCitation":"Chan, Y., Tibbitts, T.L., Lok, T., Chris Hassell, Peng, H., Ma, Z., Zhang, Z., and Theunis Piersma, 2019, Filling knowledge gaps in a threatened shorebird flyway through satellite tracking: Journal of Applied Ecology, v. 56, no. 10, p. 2305-2315, https://doi.org/10.1111/1365-2664.13474.","productDescription":"11 p.","startPage":"2305","endPage":"2315","ipdsId":"IP-099503","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13474","text":"Publisher Index Page"},{"id":366595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, China, Indonesia, Russia","otherGeospatial":"East Asian-Australasian Flyway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n             100.00,\n              60.00\n            ],\n            [\n              142.00,\n              60.00\n            ],\n            [\n              142.00,\n              -20.00\n            ],\n            [\n              100.00,\n              -20.00\n            ],\n            [\n              100.00,\n              60.00\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Chan, Yin-Chi","contributorId":218152,"corporation":false,"usgs":false,"family":"Chan","given":"Yin-Chi","email":"","affiliations":[{"id":39763,"text":"University of Groningen, the Netherlands; Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":768479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":768478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lok, Tamar","contributorId":218153,"corporation":false,"usgs":false,"family":"Lok","given":"Tamar","email":"","affiliations":[{"id":17924,"text":"Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":768480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chris Hassell","contributorId":218154,"corporation":false,"usgs":false,"family":"Chris Hassell","affiliations":[{"id":39764,"text":"Global Flyway Network, Australia","active":true,"usgs":false}],"preferred":false,"id":768481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peng, He-Bo","contributorId":218155,"corporation":false,"usgs":false,"family":"Peng","given":"He-Bo","email":"","affiliations":[{"id":39765,"text":"University of Groningen, the Netherlands; Royal Netherlands Institute for Sea Research; Fudan University, Shanghai, China","active":true,"usgs":false}],"preferred":false,"id":768482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ma, Zhijun","contributorId":218156,"corporation":false,"usgs":false,"family":"Ma","given":"Zhijun","email":"","affiliations":[{"id":39766,"text":"Fudan University, Shanghai, China","active":true,"usgs":false}],"preferred":false,"id":768483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Zhengwang","contributorId":218157,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhengwang","email":"","affiliations":[{"id":39767,"text":"Beijing Normal University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":768484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Theunis Piersma","contributorId":218158,"corporation":false,"usgs":false,"family":"Theunis Piersma","affiliations":[{"id":39768,"text":"University of Groningen, the Netherlands; Royal Netherlands Institute for Sea Research, Global Flyway Network","active":true,"usgs":false}],"preferred":false,"id":768485,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204210,"text":"70204210 - 2019 - Improving population estimates of threatened spectacled eiders: Correcting aerial counts for visibility bias","interactions":[],"lastModifiedDate":"2019-07-11T14:59:26","indexId":"70204210","displayToPublicDate":"2019-07-11T14:58:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Improving population estimates of threatened spectacled eiders: Correcting aerial counts for visibility bias","docAbstract":"Listed as threatened under the Endangered Species Act in 1993, the Spectacled Eider (Somateria fischeri) population in western Alaska has since rebounded, prompting an assessment of their suitability for delisting. This assessment, however, is limited by aerial-based population estimates that are incompletely corrected for unobserved eiders. Notably, aerial counts of eiders are corrected with a visibility correction factor (VCF), calculated as the ratio of ground-based nest counts to aerial pair counts, which disregards spatial variation in eider density. Accordingly, we (1) stratified our study area into zones of low, medium, and high eider density, (2) developed density-adjusted VCFs for each stratum, (3) evaluated the influence of several ecological factors on VCFs, and (4) estimated eider population size using our density-adjusted VCFs. For the low-density stratum, we estimated a VCF (± SE) of 1.35 ± 0.15, indicating that aerial counts of eider pairs closely matched ground counts of nests. In medium and high-density strata, VCFs increased to 2.46 ± 0.17 and 3.09 ± 0.19, respectively, suggesting that aerial detection decreased as eider densities increased. VCFs also increased for surveys that occurred late relative to nest initiation. Population estimates produced with our density-adjusted VCFs were 42% (5580 eiders) lower, on average, than those produced with the traditional VCF, which is currently used. Such large differences underscore the importance of accounting for density when correcting counts for incomplete detection, and, for threatened species such as Spectacled Eiders, may determine whether populations retain protected status.","language":"English","publisher":"Inter Research","doi":"10.3354/esr00959","collaboration":"US Fish and Wildlife ","usgsCitation":"Lewis, T., Michael Swaim, Schmutz, J.A., and Fischer, J., 2019, Improving population estimates of threatened spectacled eiders: Correcting aerial counts for visibility bias: Endangered Species Research, v. 39, p. 191-206, https://doi.org/10.3354/esr00959.","productDescription":"16 p.","startPage":"191","endPage":"206","ipdsId":"IP-098479","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467462,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00959","text":"Publisher Index Page"},{"id":365486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365482,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.3354/esr00959"}],"volume":"39","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lewis, Tyler 0000-0002-4998-3031 tlewis@usgs.gov","orcid":"https://orcid.org/0000-0002-4998-3031","contributorId":169307,"corporation":false,"usgs":true,"family":"Lewis","given":"Tyler","email":"tlewis@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":766008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael Swaim","contributorId":216891,"corporation":false,"usgs":false,"family":"Michael Swaim","affiliations":[{"id":39544,"text":"USFWS Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":766009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":766007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischer, Julian","contributorId":216892,"corporation":false,"usgs":false,"family":"Fischer","given":"Julian","email":"","affiliations":[{"id":39545,"text":"USGS Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":766010,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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