{"pageNumber":"14","pageRowStart":"325","pageSize":"25","recordCount":11370,"records":[{"id":70249619,"text":"70249619 - 2024 - Late glacial–Younger Dryas climate in interior Alaska as inferred from the isotope values of land snail shells","interactions":[],"lastModifiedDate":"2024-02-07T17:06:22.208539","indexId":"70249619","displayToPublicDate":"2023-10-18T08:57:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Late glacial–Younger Dryas climate in interior Alaska as inferred from the isotope values of land snail shells","docAbstract":"

The isotope values of fossil snail shells can be important archives of climate. Here, we present the first carbon (δ13C) and oxygen (δ18O) isotope values of snail shells in interior Alaska to explore changes in vegetation and humidity through the late-glacial period. Snail shell δ13C values were relatively consistent through the late glacial. However, late-glacial shell δ13C values are 2.8‰ higher than those of modern shells. This offset is best explained by the Suess effect and changes in the δ13C values of snail diet. Snail shell δ18O values varied through the late glacial, which can be partially explained by changes in relative humidity (RH). RH during the snail growing period was modeled based on a published flux balance model. Results suggest a dry period toward the beginning of the Bølling–Allerød (~14 ka) followed by two distinct stages of the Younger Dryas, a wetter stage in the early Younger Dryas from 12.9 to 12.3 ka, and subsequent drier stage in the late Younger Dryas between 12.3 and 11.7 ka. The results show that land snail isotopes in high-latitude regions may be used as a supplementary paleoclimate proxy to help clarify complex climate histories, such as those of interior Alaska during the Younger Dryas.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2023.54","usgsCitation":"Nield, C.B., Yanes, Y., Reuther, J.D., Muhs, D.R., Pigati, J.S., Miller, J.D., and Druckenmiller, P.S., 2024, Late glacial–Younger Dryas climate in interior Alaska as inferred from the isotope values of land snail shells: Quaternary Research, v. 117, p. 119-134, https://doi.org/10.1017/qua.2023.54.","productDescription":"16 p.","startPage":"119","endPage":"134","ipdsId":"IP-154137","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":441108,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/qua.2023.54","text":"Publisher Index Page"},{"id":435095,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P953H59T","text":"USGS data release","linkHelpText":"Data release for Late glacial-Younger Dryas climate in interior Alaska as inferred from the isotope values of land snail shells"},{"id":421997,"rank":1,"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 \"coordinates\": [\n [\n [\n -156.0371534430809,\n 65.77335808684197\n ],\n [\n -156.0371534430809,\n 63.78566011381855\n ],\n [\n -146.76263627533064,\n 63.78566011381855\n ],\n [\n -146.76263627533064,\n 65.77335808684197\n ],\n [\n -156.0371534430809,\n 65.77335808684197\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"117","noUsgsAuthors":false,"publicationDate":"2023-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Nield, Catherine B.","contributorId":331005,"corporation":false,"usgs":false,"family":"Nield","given":"Catherine","email":"","middleInitial":"B.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":886466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yanes, Yurena","contributorId":197219,"corporation":false,"usgs":false,"family":"Yanes","given":"Yurena","email":"","affiliations":[],"preferred":false,"id":886467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reuther, Joshua D.","contributorId":331006,"corporation":false,"usgs":false,"family":"Reuther","given":"Joshua","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":886468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":886469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":886470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Joshua D.","contributorId":331008,"corporation":false,"usgs":false,"family":"Miller","given":"Joshua","email":"","middleInitial":"D.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":886471,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Druckenmiller, Patrick. S.","contributorId":331009,"corporation":false,"usgs":false,"family":"Druckenmiller","given":"Patrick.","email":"","middleInitial":"S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":886472,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70255252,"text":"70255252 - 2024 - Validating morphometrics as a nonlethal tool to determine Arctic Grayling sex","interactions":[],"lastModifiedDate":"2024-06-13T23:57:05.236056","indexId":"70255252","displayToPublicDate":"2023-10-08T18:55:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Validating morphometrics as a nonlethal tool to determine Arctic Grayling sex","docAbstract":"

Objective

Some graylings Thymallus spp. possess an elongated dorsal fin and other morphological traits that can be sexually dimorphic, as demonstrated in the European Grayling T. thymallus. North American Arctic Grayling T. arcticus are assumed to follow these trends, but decisive evidence is lacking. This study aimed to determine whether sexually dimorphic characteristics, including posterior dorsal height, can be used to accurately predict the sex of Arctic Grayling in Interior Alaska.

Methods

We used computer imaging software to measure 22 morphometrics on 97 Arctic Grayling of known sex from streams in Interior Alaska, and we developed a set of binomial models to evaluate the validity of morphometrics as predictors of Arctic Grayling sex.

Result

Posterior dorsal height was a reasonably accurate predictor of sex (~90% accurate at fork lengths ≥300 mm), although models containing additional morphometrics were more accurate (100% accuracy at fork lengths ≥250 mm).

Conclusion

This study presents an affordable, noninvasive, and replicable method for nonlethal determination of Arctic Grayling sex by using digital images from the field, with potential application to other salmonids.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10956","usgsCitation":"Samuel, W., Hinkle, E., Yancy, L., and Falke, J.A., 2024, Validating morphometrics as a nonlethal tool to determine Arctic Grayling sex: North American Journal of Fisheries Management, v. 44, no. 1, p. 70-78, https://doi.org/10.1002/nafm.10956.","productDescription":"9 p.","startPage":"70","endPage":"78","ipdsId":"IP-153594","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441134,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10956","text":"Publisher Index Page"},{"id":430172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Samuel, WT","contributorId":339217,"corporation":false,"usgs":false,"family":"Samuel","given":"WT","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":903866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hinkle, EG","contributorId":339219,"corporation":false,"usgs":false,"family":"Hinkle","given":"EG","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":903867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yancy, LE","contributorId":339221,"corporation":false,"usgs":false,"family":"Yancy","given":"LE","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":903868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":903869,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248480,"text":"70248480 - 2024 - Disparate data streams together yield novel survival estimates of Alaska-breeding Whimbrels","interactions":[],"lastModifiedDate":"2024-03-26T14:24:11.727913","indexId":"70248480","displayToPublicDate":"2023-09-15T09:38:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Disparate data streams together yield novel survival estimates of Alaska-breeding Whimbrels","docAbstract":"

Survival estimates are critical components of avian ecology. In well-intentioned efforts to maximize the utility of one's research, survival estimates often derive from data that were not originally collected for survival assessments, and such post hoc analyses may include unintentional biases. We estimated the survival of Whimbrels captured and marked at two breeding sites in Alaska using divergent data streams that in isolation were subject to methodological biases. Although both capture sites were chosen to study the migration ecology of Alaska-breeding Whimbrels, maximizing the conservation value of the data we collected was obviously desirable. We used multi-year telemetry information to infer survival from one site (Colville River) and mark-resight techniques to estimate survival from a second site (Kanuti River). At the Colville River, we could not feasibly include a control group of birds to assess potential survival effects of externally mounted transmitters, while at Kanuti River we were unable to accurately account for potential emigration events because we used resightings alone. We integrated these datasets in a Bayesian hierarchical framework, an approach that permitted insights across sites that moderated methodological biases within sites. Using telemetry enabled us to detect permanent emigration events from breeding sites in two of ten birds; results that informed estimates for birds without tracking devices. These datasets yielded point estimates of true survival of Whimbrels from Colville River equipped with solar-powered satellite transmitters that were higher (0.83) than true survival estimates of Whimbrels from Kanuti River marked with leg flags alone (0.74) or equipped with surgically implanted satellite transmitters (0.50), but the 95% credible intervals on these estimates overlapped across groups. For species like Whimbrels that are difficult and costly to study, combining information from disparate data streams allowed us to derive novel demographic estimates, an approach with clear application to other similar studies.

","language":"English","publisher":"Wiley","doi":"10.1111/ibi.13273","usgsCitation":"Ruthrauff, D.R., Harwood, C.M., Tibbitts, T.L., and Patil, V.P., 2024, Disparate data streams together yield novel survival estimates of Alaska-breeding Whimbrels: Ibis, v. 166, no. 2, p. 622-632, https://doi.org/10.1111/ibi.13273.","productDescription":"11 p.","startPage":"622","endPage":"632","ipdsId":"IP-141546","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":498851,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1111/ibi.13273","text":"Publisher Index Page"},{"id":420836,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Colville River, Kanuti River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -160.03574093661132,\n 68.75774490548673\n ],\n [\n -160.03574093661132,\n 65.24300636559764\n ],\n [\n -145.19869372665494,\n 65.24300636559764\n ],\n [\n -145.19869372665494,\n 68.75774490548673\n ],\n [\n -160.03574093661132,\n 68.75774490548673\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"166","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-09-21","publicationStatus":"PW","contributors":{"authors":[{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":883058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harwood, Christopher M.","contributorId":260398,"corporation":false,"usgs":false,"family":"Harwood","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":52582,"text":"US Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":883059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":883060,"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":883061,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248477,"text":"70248477 - 2024 - Lack of strong responses to the Pacific marine heatwave by benthivorous marine birds indicates importance of trophic drivers","interactions":[],"lastModifiedDate":"2024-06-18T13:54:23.130272","indexId":"70248477","displayToPublicDate":"2023-09-15T09:18:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Lack of strong responses to the Pacific marine heatwave by benthivorous marine birds indicates importance of trophic drivers","docAbstract":"The Pacific marine heatwave (PMH) of 2014-2016 was an intense, long-lasting environmental disturbance expressed throughout the north Pacific. While dramatic consequences of the PMH on pelagic food webs have been well documented, effects on nearshore food webs, i.e., those based on macroalgae primary productivity, benthic invertebrate intermediate consumers, and specialized benthivorous top predators including some marine birds, are not well understood. We conducted summer and winter coastline surveys in two National Parks in the northern Gulf of Alaska from 2006 – 2022. We evaluated changes in abundance of benthivorous marine birds in relation to the heatwave, after accounting for effects of season and region. We also evaluated changes in abundance of nearshore benthic invertebrate prey data to allow specific consideration of a prey-based mechanism for effects of the PMH across food webs. We found that benthivorous marine birds, consisting largely of sea ducks and shorebirds, did not show a strong response to the PMH, unlike significant effects demonstrated by piscivorous birds in pelagic biomes. Unlike extreme reductions in quantity and quality of forage fish documented in other studies, we found that common benthic invertebrate prey abundance remained relatively stable, with only minor increases or decreases, in association with the PMH. Our results support the hypothesis that food availability has a strong mediating effect of the PMH on upper trophic levels across food webs. These findings show how a large-scale environmental perturbation affects biological communities through trophic pathways, provides insight into ecosystem resiliency, and can inform management strategies in the face of persistent climate change.","language":"English","publisher":"Inter-Research Science Publishers","doi":"10.3354/meps14384","usgsCitation":"Robinson, B.H., Coletti, H.A., Ballachey, B., Bodkin, J., Kloecker, K.A., Traiger, S.B., and Esler, D., 2024, Lack of strong responses to the Pacific marine heatwave by benthivorous marine birds indicates importance of trophic drivers: Marine Ecology Progress Series, v. 737, p. 215-226, https://doi.org/10.3354/meps14384.","productDescription":"12 p.","startPage":"215","endPage":"226","ipdsId":"IP-146481","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441175,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index 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employee","active":true,"usgs":false}],"preferred":false,"id":883054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodkin, James L. 0000-0003-1641-4438","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":264733,"corporation":false,"usgs":false,"family":"Bodkin","given":"James L.","affiliations":[{"id":40616,"text":"former USGS PI","active":true,"usgs":false}],"preferred":false,"id":883055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kloecker, Kimberly A. 0000-0002-2461-968X kkloecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-968X","contributorId":3442,"corporation":false,"usgs":true,"family":"Kloecker","given":"Kimberly","email":"kkloecker@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":883056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Traiger, Sarah Beth 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habitat on resting metabolic rates of the Pacific walrus","interactions":[],"lastModifiedDate":"2024-01-24T17:43:03.622256","indexId":"70248018","displayToPublicDate":"2023-08-31T07:39:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of feeding and habitat on resting metabolic rates of the Pacific walrus","docAbstract":"

Arctic marine mammals live in a rapidly changing environment due to the amplified effects of global warming. Pacific walruses (Odobenus rosmarus divergens) have responded to declines in Arctic sea-ice extent by increasingly hauling out on land farther from their benthic foraging habitat. Energy models can be useful for better understanding the potential implications of changes in behavior on body condition and reproduction but require behavior-specific metabolic rates. Here we measured the resting metabolic rates (RMR) of three captive, adult female Pacific walruses through breath-by-breath respirometry when fed and fasted resting out of water (sitting and lying down) and while fed resting in water. RMR in and out of water were positively related with pretrial energy intake when not fasted and 25% higher than RMR when walruses were fasted and out of water. Overall, RMR was higher than previously estimated for this species. Fasting RMR out of water was only 25% lower than subsurface swimming metabolic rates suggestive of relatively efficient swimming in adult females. Our results identify the importance of considering feeding status and species-specific differences in affecting metabolic costs. Further research is needed to better understand potential energetic costs of thermoregulation at temperatures experienced by wild walruses.

","language":"English","publisher":"Wiley","doi":"10.1111/mms.13065","usgsCitation":"Rode, K.D., Rocabert, J., Borque-Espinosa, A., Ferrero-Fernandez, D., and Fahlman, A., 2024, Effects of feeding and habitat on resting metabolic rates of the Pacific walrus: Marine Mammal Science, v. 40, no. 1, p. 184-195, https://doi.org/10.1111/mms.13065.","productDescription":"12 p.","startPage":"184","endPage":"195","ipdsId":"IP-145412","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":498278,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mms.13065","text":"Publisher Index Page"},{"id":420359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","city":"Valencia","otherGeospatial":"Oceanogràfic Aquarium","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -0.34989761056129964,\n 39.45284564008105\n ],\n [\n -0.34791806836184946,\n 39.452167673433905\n ],\n [\n -0.34636955551226833,\n 39.451822524241294\n ],\n [\n -0.3414366640649007,\n 39.450614488592265\n ],\n [\n -0.34180383721491125,\n 39.45273470053647\n ],\n [\n -0.3416601607646328,\n 39.45399200502928\n ],\n [\n -0.34461351001357343,\n 39.45374547652608\n ],\n [\n -0.3473752906621712,\n 39.45420155357053\n ],\n [\n -0.3483012055616257,\n 39.45469460647391\n ],\n [\n -0.34900362376129124,\n 39.45427551172804\n ],\n [\n -0.34989761056129964,\n 39.45284564008105\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","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":881513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rocabert, Joan","contributorId":328857,"corporation":false,"usgs":false,"family":"Rocabert","given":"Joan","email":"","affiliations":[{"id":78510,"text":"Adm+ engineering","active":true,"usgs":false}],"preferred":false,"id":881514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borque-Espinosa, Alicia","contributorId":269982,"corporation":false,"usgs":false,"family":"Borque-Espinosa","given":"Alicia","email":"","affiliations":[{"id":56054,"text":"Universitat de Valencia","active":true,"usgs":false}],"preferred":false,"id":881515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrero-Fernandez, Diana","contributorId":328858,"corporation":false,"usgs":false,"family":"Ferrero-Fernandez","given":"Diana","email":"","affiliations":[{"id":78511,"text":"Avanqua Oceanografic SL","active":true,"usgs":false}],"preferred":false,"id":881516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fahlman, Andreas","contributorId":269986,"corporation":false,"usgs":false,"family":"Fahlman","given":"Andreas","email":"","affiliations":[{"id":56058,"text":"Fundacion Oceanografic de la Comunitat Valenciana","active":true,"usgs":false}],"preferred":false,"id":881517,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243167,"text":"70243167 - 2024 - Oligocene–Miocene northward growth of the Tibetan Plateau: Insights from intermontane basins in the West Qinling Belt, NW China","interactions":[],"lastModifiedDate":"2023-12-20T17:41:56.604529","indexId":"70243167","displayToPublicDate":"2023-04-28T06:44:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Oligocene–Miocene northward growth of the Tibetan Plateau: Insights from intermontane basins in the West Qinling Belt, NW China","docAbstract":"

Growth of the Tibetan Plateau, Earth’s broadest and highest elevation collisional system, shapes orographic barriers, reorganizes drainage networks, and influences surface erosion and sediment delivery, whose changes in space and provenance feed back to intracontinental tectonic processes. Studies of interior basins within the northern Tibetan Plateau provide new sediment accumulation, provenance, paleodrainage, and deformation timing data that enable a reconstruction of the far-field tectono-geomorphic evolution of the rising Tibetan Plateau. Along the northern plateau margin, topographic growth in the West Qinling Belt is inferred to have initiated in the Eocene, nearly coeval with the India-Asia collision, as well as in the late Miocene. However, geological knowledge about the intervening period remains at present enigmatic, and the kinematics and dynamics are uncertain. This study presents a multidisciplinary data set from the intermontane Anhua-Huicheng Basin (AHB; Gansu Province, China) to fill this gap. Magnetostratigraphic dating, regional mapping, and sedimentological analysis imply that contractional deformation and thrust-top basin systems formed within the West Qinling Belt in the Oligocene (not later than ca. 24 Ma). A combination of observations including paleocurrent changes, detrital zircon U-Pb age variations, and appearance of growth strata along the Anhua-Huicheng Basin reveal the rapid uplift of the West Qinling Belt at ca. 15 Ma. Sedimentation in the intermontane basins ended after the late Miocene (ca. 8 Ma), when the region experienced intrabasinal deformation, uplift, and erosion with the establishment of an external drainage system. Since the late Miocene, the growth of the West Qinling Belt reached a climax with the lack of substantial contractional deformation in Cenozoic sequences heralding the onset of the modern kinematic regime and attainment of high elevation. Observed transitions in the tectonostratigraphy and paleodrainage define different phases of deformation and plateau-wide shifts in stress reorganization, which led to the northward growth and later lateral expansion of the Tibetan Plateau.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36722.1","usgsCitation":"Zhang, Y., Wang, W., Lease, R.O., Zhou, R., Wang, Y., Yan, Y., Wang, Y., Zheng, W., Liu, B., Li, Z., Liang, H., Hui, G., Sun, C., Tian, Q., Xu, B., and Zhang, P., 2024, Oligocene–Miocene northward growth of the Tibetan Plateau: Insights from intermontane basins in the West Qinling Belt, NW China: GSA Bulletin, v. 136, no. 1-2, p. 131-157, https://doi.org/10.1130/B36722.1.","productDescription":"27 p.","startPage":"131","endPage":"157","ipdsId":"IP-137268","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":441284,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/gsab.s.22220782","text":"External 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Acute anomalous ocean warming events, including marine heatwaves (MHWs), have significant effects on reproduction and survival of piscivorous seabirds. Additionally, MHWs have negative effects on seabird fish prey, exacerbating these consequences and resulting in population implications for seabirds. We evaluated the relative body condition of Pacific sand lance Ammodytes personatus, an important seabird forage species, in Haro Strait, a highly productive region of southern British Columbia, Canada. We compared body condition and length of fish cohorts that experienced the 2016 MHW year (MHW cohorts) with fish hatched during 3 subsequent post MHW years (2017-2019). Age-0 MHW cohorts had a seasonal decline in body condition in age-0 fish from 100% in the summer to 81% in the winter, while age-1 fish showed a decline from summer-fall highs of 93.5% to wintertime low of 79.5%. In comparison, post MHW cohorts had a winter body condition that was 2-4 times higher than their MHW cohorts. Similar to previous studies in Alaska during the MHW, age-1 fish failed to grow and reach the typical size that distinguishes them from age-0 fish. Poor sand lance condition and growth in winter may explain the ramifications of a warming ocean for top predators, including seabirds and Pacific salmon, which depend on these prey fish in Haro Strait. Our results support the idea that Haro Strait, which is influenced by estuarine circulation resulting in cooler temperatures than surrounding areas, serves as a climate refugium for sand lance populations in summer and provides buffering capacity to ocean climate warming events.

","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14257","usgsCitation":"Robinson, C.L., Bertram, D.F., Shannon, H., von Biela, V.R., Greentree, W., Duguird, W., and Arimitsu, M.L., 2024, Reduction in overwinter body condition and size of Pacific sand lance has implications for piscivorous predators during marine heatwaves: Marine Ecology Progress Series, v. 737, p. 89-99, https://doi.org/10.3354/meps14257.","productDescription":"11 p.","startPage":"89","endPage":"99","ipdsId":"IP-146513","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441291,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14257","text":"Publisher Index Page"},{"id":416750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"737","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Clifford LK","contributorId":304816,"corporation":false,"usgs":false,"family":"Robinson","given":"Clifford","email":"","middleInitial":"LK","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":871696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertram, Douglas F","contributorId":304817,"corporation":false,"usgs":false,"family":"Bertram","given":"Douglas","email":"","middleInitial":"F","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":871697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shannon, Hayleigh","contributorId":304818,"corporation":false,"usgs":false,"family":"Shannon","given":"Hayleigh","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":871698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":120,"text":"Alaska Science Center Water","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":871699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greentree, Wesley","contributorId":304819,"corporation":false,"usgs":false,"family":"Greentree","given":"Wesley","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":871700,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duguird, William","contributorId":304820,"corporation":false,"usgs":false,"family":"Duguird","given":"William","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":871701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":871702,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256550,"text":"70256550 - 2024 - Diversity, distribution, and methodological considerations of haemosporidian infections among Galliformes in Alaska","interactions":[],"lastModifiedDate":"2024-08-22T15:39:21.655581","indexId":"70256550","displayToPublicDate":"2023-02-02T10:32:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Diversity, distribution, and methodological considerations of haemosporidian infections among Galliformes in Alaska","docAbstract":"

Using samples spanning 10-degrees of latitude in Alaska, we provide the first comparative assessment of avian haemosporidia distribution of Arctic Alaska with subarctic host populations for four species of grouse and three species of ptarmigan (Galliformes). We found a high overall prevalence for at least one haemospordian genus (88%; N = 351/400), with spruce grouse (Canachites canadensis) showing the highest prevalence (100%; N = 54/54). Haemoproteus and Plasmodium lineages were only observed within grouse, while Leucocytozoon species were found within both grouse and ptarmigan. Further, different Leucocytozoon lineages were obtained from blood and tissue samples from the same individual, potentially due to the differential timing and duration of blood and tissue stages. Using different primer sets, we were able to identify different Leucocytozoon lineages within 55% (N = 44/80) of sequenced individuals, thereby detecting coinfections that may have otherwise gone undetected. The commonly used Haemoproteus/Plasmodium primers amplified Leucocytozoon for 90% (N = 103/115) of the products sequenced, highlighting the potential value of alternate primers to identify intra-genus coinfections and the importance of obtaining sequence information rather than relying solely on PCR amplification to assess parasite diversity. Overall, this dataset provides baseline information on parasite lineage distributions to assess the range expansion associated with climate change into Arctic regions and underscores methodological considerations for future studies.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2023.01.008","usgsCitation":"De Amaral, F., Wilson, R., Sonsthagen, S.A., and Sehgal, R., 2024, Diversity, distribution, and methodological considerations of haemosporidian infections among Galliformes in Alaska: International Journal for Parasitology: Parasites and Wildlife, v. 20, p. 122-132, https://doi.org/10.1016/j.ijppaw.2023.01.008.","productDescription":"11 p.","startPage":"122","endPage":"132","ipdsId":"IP-145422","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441293,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2023.01.008","text":"Publisher Index Page"},{"id":433065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Amaral, Faith","contributorId":341101,"corporation":false,"usgs":false,"family":"De Amaral","given":"Faith","email":"","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":907942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E.","contributorId":341102,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":907943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@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":907944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sehgal, Ravinder","contributorId":341103,"corporation":false,"usgs":false,"family":"Sehgal","given":"Ravinder","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":907945,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70238350,"text":"70238350 - 2024 - Lingering impacts of the 2014-2016 northeast Pacific marine heatwave on seabird demography in Cook Inlet, Alaska (USA)","interactions":[],"lastModifiedDate":"2024-06-18T13:49:34.94651","indexId":"70238350","displayToPublicDate":"2022-11-10T06:49:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Lingering impacts of the 2014-2016 northeast Pacific marine heatwave on seabird demography in Cook Inlet, Alaska (USA)","docAbstract":"

A protracted period (2014-2016) of anomalously warm water in the northeast Pacific Ocean precipitated an extensive die-off of common murres Uria aalge (hereafter ‘murres’) during 2015-2016, accompanied by reduced colony attendance and reproductive success of murres and black-legged kittiwakes Rissa tridactyla (‘kittiwakes’) starting in 2015. Most murres died of starvation following a large-scale reduction in abundance and quality of forage fish. To assess murre and kittiwake recovery following the marine heatwave, we monitored their demographics at 2 colonies (Chisik and Gull Islands) in Cook Inlet, Alaska (USA), from 2016 to 2019. Compared to historic data (1995-1999), we observed declines and increased variability in colony attendance and productivity across species and colonies, and predation was widespread. At Chisik, where food limitations were common during historic studies, both species experienced substantial population declines and reproductive failures in all 4 years (2016-2019) following the heatwave. At Gull, a typically productive colony during historic studies, murres failed to fledge chicks for 3 years (2016-2018) following the heatwave. By 2019, murre productivity recovered to about half that observed during historic studies (0.28 vs. 0.54 chicks per pair), but populations had declined by half. Kittiwake population size at Gull declined a quarter from historic counts, and reproduction alternated between complete breeding failures (2016/2018) and high productivity (2017/2019). These multi-year demographic impacts indicate lingering effects of the heatwave on kittiwakes and murres through forage fish depletion and increased predator disturbance, and possibly other stressors. It remains unknown whether populations can rebound to historic levels. If so, recovery would likely take decades.

","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14177","usgsCitation":"Schoen, S.K., Arimitsu, M.L., Marsteller, C.E., and Piatt, J., 2024, Lingering impacts of the 2014-2016 northeast Pacific marine heatwave on seabird demography in Cook Inlet, Alaska (USA): Marine Ecology Progress Series, v. 737, p. 121-136, https://doi.org/10.3354/meps14177.","productDescription":"16 p.","startPage":"121","endPage":"136","ipdsId":"IP-139150","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":441302,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14177","text":"Publisher Index Page"},{"id":409415,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.86692834754194,\n 58.461367338468136\n ],\n [\n -148.58541629436866,\n 58.461367338468136\n ],\n [\n -148.58541629436866,\n 61.78410578839723\n ],\n [\n -154.86692834754194,\n 61.78410578839723\n ],\n [\n -154.86692834754194,\n 58.461367338468136\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"737","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoen, Sarah K. 0000-0002-5685-5185 sschoen@usgs.gov","orcid":"https://orcid.org/0000-0002-5685-5185","contributorId":5136,"corporation":false,"usgs":true,"family":"Schoen","given":"Sarah","email":"sschoen@usgs.gov","middleInitial":"K.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsteller, Caitlin Elizabeth 0000-0002-2430-0708","orcid":"https://orcid.org/0000-0002-2430-0708","contributorId":251784,"corporation":false,"usgs":true,"family":"Marsteller","given":"Caitlin","email":"","middleInitial":"Elizabeth","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261874,"text":"70261874 - 2024 - Petrology and geochemistry of three early Holocene eruptions from Makushin volcano, Alaska","interactions":[],"lastModifiedDate":"2024-12-31T15:58:26.095859","indexId":"70261874","displayToPublicDate":"2020-10-19T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Petrology and geochemistry of three early Holocene eruptions from Makushin volcano, Alaska","docAbstract":"

Makushin stratovolcano, Alaska, produced three, highly explosive, andesitic eruptions between ~ 9292 and 6215 yBP. Those eruptions are informally named the CFE (“crater-forming eruption”), Nateekin, and Driftwood Pumice, and they deposited significant tephra fallout in the present-day port of Dutch Harbor and City of Unalaska area. The focus of this study is to examine the geochemistry and petrology of those eruptions to better understand Makushin volcano hazards, andesite petrogenesis and eruption triggering by mafic recharge processes. The CFE, Nateekin, and Driftwood Pumice samples range from basaltic andesite to dacite but are predominantly andesitic (SiO2 = 55.6 to 63.5 wt%). The CFE deposits are slightly compositionally stratified, with the top CFE samples slightly more mafic (55 to 60 wt% SiO2) than the basal deposits (58 to 60 wt% SiO2). Disequilibrium mineral compositions and textures in the CFE, Nateekin, and Driftwood Pumice samples, combined with two pyroxene thermometry and An-rich plagioclase microlites (An80) found only in the top of the CFE deposits, provide evidence for repetitive mafic recharge triggering those eruptions, consistent with prior studies. We compare the Makushin geochemical data with data from select satellite vents and cones in the Makushin Volcanic Field (MVF) from prior studies, to examine possible genetic relationships. The geochemical data and Rhyolite-MELTS models run at crustal storage conditions (2 kbar, fO2 = Ni-NiO, and 1.5 and 3.5 wt% H2O) indicate that no single parental magma supplies the MVF satellite cones and Makushin volcano. Instead, two component mixing models better fit the MVF geochemical array. Our Makushin results compare well with models of predominantly andesitic volcanoes that require mafic recharge to mobilize the andesites and trigger eruptions.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-020-01412-5","usgsCitation":"Larsen, J., Schaefer, J., Vallance, J.W., and Neill, O., 2024, Petrology and geochemistry of three early Holocene eruptions from Makushin volcano, Alaska: Bulletin of Volcanology, v. 82, 72, 17 p., https://doi.org/10.1007/s00445-020-01412-5.","productDescription":"72, 17 p.","ipdsId":"IP-120635","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Makushin volcano, Unalaska Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -167.01083004545683,\n 53.926684657654704\n ],\n [\n -167.01083004545683,\n 53.84297653402467\n ],\n [\n -166.85080239678533,\n 53.84297653402467\n ],\n [\n -166.85080239678533,\n 53.926684657654704\n ],\n [\n -167.01083004545683,\n 53.926684657654704\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-10-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Larsen, Jessica 0000-0003-1171-129X","orcid":"https://orcid.org/0000-0003-1171-129X","contributorId":242808,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":922107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Janet","contributorId":199547,"corporation":false,"usgs":false,"family":"Schaefer","given":"Janet","affiliations":[],"preferred":false,"id":922108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":922109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neill, O.K.","contributorId":347659,"corporation":false,"usgs":false,"family":"Neill","given":"O.K.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":922110,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260156,"text":"70260156 - 2024 - Analysis of the Alaska Volcano Observatory’s response time to volcanic explosions-1989 to 2016","interactions":[],"lastModifiedDate":"2024-10-29T15:54:12.686457","indexId":"70260156","displayToPublicDate":"2018-06-19T10:47:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of the Alaska Volcano Observatory’s response time to volcanic explosions-1989 to 2016","docAbstract":"

A major goal of volcano monitoring is the rapid identification of volcanic explosions and subsequent warning of associated hazards. Between 1988 and 2016 the Alaska Volcano Observatory (AVO) responded to at least 54 separate volcanic eruptions. During this period, AVO's monitoring program relied principally on seismic and satellite remote sensing data, supplemented with geodetic, gas, and visual observations to track volcanic unrest. In this study we focus on AVO's response time, or the time required for AVO to (1) identify seismic signals associated with large ash-producing volcanic explosions and (2) initiate public warnings. We restrict this analysis to volcanoes monitored by a local seismic network and explosive in character. We focus on the 1989–90 eruption of Redoubt Volcano (VEI 3), the 1992 eruption of Mount Spurr (VEI 4), the 1999 eruption of Shishaldin Volcano (VEI 3), the 2006 eruption of Augustine Volcano (VEI 3) and the 2016 eruption of Pavlof Volcano (VEI 2) as detailed records of the timing of formal warnings are preserved. These eruption sequences allow us to evaluate AVO's response time under a number of monitoring scenarios, including both expected (those with recognized precursory unrest) and surprise eruptions (those without identified precursory unrest) as well as individual and repetitive sequences of explosive events. Recorded response time ranges from ~1 to 86 min. The shorter response times (~1–13 min) were achieved during sequences of explosive events at Redoubt (1989–90), Spurr (1992) and Augustine (2006). The longer response times (31– 86 min) are recorded for unexpected or surprise explosions such as Spurr (August 18, 1992) and Pavlof (2016) and the only or first explosions in an eruptive sequence such as Shishaldin (1999) and Augustine (2006).

","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2018.00072","usgsCitation":"Power, J., and Cameron, C.E., 2024, Analysis of the Alaska Volcano Observatory’s response time to volcanic explosions-1989 to 2016: Frontiers in Earth Science, v. 6, 72, 11 p., https://doi.org/10.3389/feart.2018.00072.","productDescription":"72, 11 p.","ipdsId":"IP-095235","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2018.00072","text":"Publisher Index Page"},{"id":463349,"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 \"coordinates\": [\n [\n [\n -141.19644639855917,\n 60.163701494427016\n ],\n [\n -141.4146933455769,\n 62.921338064731\n ],\n [\n -154.76413824908144,\n 62.73561750601888\n ],\n [\n -158.86626079490838,\n 57.73158331857164\n ],\n [\n -170.19280646841207,\n 54.16503628783249\n ],\n [\n -178,\n 52.50050801183875\n ],\n [\n -178,\n 52.429296373477115\n ],\n [\n -178,\n 50.51941329958498\n ],\n [\n -173.84383443644094,\n 50.656574087830876\n ],\n [\n -161.58328690877826,\n 53.442227709095874\n ],\n [\n -150.84605023440074,\n 57.26828297058938\n ],\n [\n -141.19644639855917,\n 60.163701494427016\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2018-06-20","publicationStatus":"PW","contributors":{"authors":[{"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":917243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cameron, Cheryl E. 0000-0001-6366-2130","orcid":"https://orcid.org/0000-0001-6366-2130","contributorId":194695,"corporation":false,"usgs":false,"family":"Cameron","given":"Cheryl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":917244,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250451,"text":"70250451 - 2023 - Vulnerability and resilience of ice-rich permafrost to thermal erosion gullying in the Arctic Foothills infrastructure corridor, Alaska","interactions":[],"lastModifiedDate":"2026-03-19T15:54:59.241832","indexId":"70250451","displayToPublicDate":"2024-07-01T10:54:18","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Vulnerability and resilience of ice-rich permafrost to thermal erosion gullying in the Arctic Foothills infrastructure corridor, Alaska","docAbstract":"

The Arctic and its permafrost terrains are inherently dynamic, complex, and sensitive environments. Understanding the past and current changes occurring in these systems is key in predicting future variations, including the response of permafrost to climate change and to surface disturbances resulting from natural processes or anthropogenic activities. Here, we focus on advancing our understanding of the drivers controlling terrain vulnerability and resilience to thermal erosion gullying proximal to linear infrastructure in the lowlands of the Arctic Foothills (Alaska). This builds upon our previous work (Stephani et al. 2023) in the infrastructure corridor that includes the Dalton Highway and Trans Alaska Pipeline System (TAPS).

To identify locations affected by thermal erosion gullying and recognize changes in the ~80-km long corridor section that travels through the Arctic Foothills, we compared time series of high-resolution satellite imagery from 2001 to 2023. When we captured the timing of gullying onset and/or growth, we examined prevailing climatic conditions (Sagwon Station) prior to these terrain changes. We integrated our findings with our field-based data (e.g., drilling) described in Stephani et al. (2023). 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"12th International conference on permafrost proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Permafrost Association","usgsCitation":"Stephani, E.A., Darrow, M., and Kanevskiy, M., 2023, Vulnerability and resilience of ice-rich permafrost to thermal erosion gullying in the Arctic Foothills infrastructure corridor, Alaska, in 12th International conference on permafrost proceedings, v. 2, p. 533-534.","productDescription":"2 p.","startPage":"533","endPage":"534","ipdsId":"IP-160342","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":501314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Foothills","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stephani, Eva Anne 0000-0002-7006-4742","orcid":"https://orcid.org/0000-0002-7006-4742","contributorId":332297,"corporation":false,"usgs":true,"family":"Stephani","given":"Eva","email":"","middleInitial":"Anne","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":889940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darrow, M.M.","contributorId":63286,"corporation":false,"usgs":true,"family":"Darrow","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":957158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kanevskiy, Mikhail","contributorId":169366,"corporation":false,"usgs":false,"family":"Kanevskiy","given":"Mikhail","email":"","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":957159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252921,"text":"70252921 - 2023 - Sea-ice conditions predict polar bear land use around military installations in Alaska","interactions":[],"lastModifiedDate":"2024-04-11T12:06:38.792532","indexId":"70252921","displayToPublicDate":"2023-12-29T07:02:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1914,"text":"Human-Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Sea-ice conditions predict polar bear land use around military installations in Alaska","docAbstract":"

Polar bears (Ursus maritimus) are threatened by sea-ice loss due to climate change, which is concurrently opening the Arctic to natural resource extraction and a broader scope of national security responsibilities. Mitigating the risk of human–bear conflicts is an emerging challenge as many polar bears spend longer ice-free summers on land where they have limited access to food and come into more frequent contact with people. We investigated a suite of physical and ecological variables that influence the timing of polar bear arrival on, and departure from, land using remote-sensing data on sea-ice extent and satellite telemetry data from 72 radio-collared adult female polar bears from 1986 to 2015. Analyses encompassed the coastline of the Southern Beaufort Sea north of Alaska, USA, and focused on zones within a 35-km radius (mean daily travel distance of a polar bear) of 5 military installations. Sea ice in the Southern Beaufort Sea retreated approximately 1 month earlier in spring, and reformed 1 month later in fall, in 2015 compared to 1979. In generalized linear mixed models, the most important predictors of polar bear arrival and departure were the dates of sea-ice breakup and formation, respectively, in localized marine areas surrounding each military zone. Region-wide sea-ice conditions also influenced land use, although to a lesser extent. We found that polar bears spent longer periods on land in the military zones compared to outside the zones, which may reflect increased land use in areas with human activity and potential attractants (noting that some military installations were in proximity to other human settlements). Our results demonstrate that the timing of polar bear land use in northern Alaska is influenced by sea-ice conditions on multiple spatial scales. This information can be used to predict and manage the presence of polar bears around military installations and other places of interest.

","language":"English","publisher":"Berryman Institute","doi":"10.26077/39a8-fb75","usgsCitation":"Regehr, E.V., Laidre, K.L., Atwood, T.C., Stern, H., and Cohen, B.R., 2023, Sea-ice conditions predict polar bear land use around military installations in Alaska: Human-Wildlife Interactions, v. 17, no. 1, 5, 16 p., https://doi.org/10.26077/39a8-fb75.","productDescription":"5, 16 p.","ipdsId":"IP-132810","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":427697,"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 \"coordinates\": [\n [\n [\n -159.03676165597616,\n 72.4217331977608\n ],\n [\n -159.03676165597616,\n 67.87487435242491\n ],\n [\n -140.5797304059763,\n 67.87487435242491\n ],\n [\n -140.5797304059763,\n 72.4217331977608\n ],\n [\n -159.03676165597616,\n 72.4217331977608\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laidre, Kristin L.","contributorId":191798,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":898659,"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":898660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stern, Harry","contributorId":192065,"corporation":false,"usgs":false,"family":"Stern","given":"Harry","email":"","affiliations":[],"preferred":false,"id":898661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cohen, Benjamin R.","contributorId":35629,"corporation":false,"usgs":true,"family":"Cohen","given":"Benjamin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":898680,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255630,"text":"70255630 - 2023 - Lactation performance in polar bears is associated with fasting time and energetic state","interactions":[],"lastModifiedDate":"2024-06-27T11:49:41.460591","indexId":"70255630","displayToPublicDate":"2023-12-29T06:43:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Lactation performance in polar bears is associated with fasting time and energetic state","docAbstract":"

Females must continually make resource allocation decisions because of fitness trade-offs between self-maintenance and investment in current offspring, yet factors underpinning these decisions are unresolved. Polar bears Ursus maritimus face considerable allocation challenges when seasonal sea-ice melt precludes access to prey for several months, and females rely solely on energy stores to cover their own energetic needs and provision offspring. We tested how female polar bears regulate lactation during onshore fasting (i.e. capital breeding) and determined the consequences of moderated lactation for females and cubs. Overall, milk energy declined, and lactation was more likely to cease with longer time fasting. Lactation was partially mediated by maternal energetic state and depended on litter characteristics. Milk energy declined more sharply with fasting time (~2.6 times more strongly) in females with 2 offspring compared to those with 1. Females with cubs-of-the-year produced higher energy milk than those with yearlings, and their milk energy also increased more strongly with maternal energy density. Milk energy declines benefited females via reduced depletion of maternal energy reserves, but cub growth decreased. Altered lactation investment likely has consequences for both female survival and the fate of offspring, which could scale up to influence population dynamics. Given that Arctic warming means polar bears across much of their range will experience longer periods without access to primary prey, our results underscore how lactation will likely become increasingly compromised.

","language":"English","publisher":"InterResearch","doi":"10.3354/meps14382","usgsCitation":"Archer, L.C., Atkinson, S.N., Pagano, A.M., Penk, S.R., and Molnar, P.K., 2023, Lactation performance in polar bears is associated with fasting time and energetic state: Marine Ecology Progress Series, v. 720, p. 175-189, https://doi.org/10.3354/meps14382.","productDescription":"15 p.","startPage":"175","endPage":"189","ipdsId":"IP-148832","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14382","text":"Publisher Index Page"},{"id":430561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"720","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Archer, Louise C. 0000-0002-1983-3825","orcid":"https://orcid.org/0000-0002-1983-3825","contributorId":312474,"corporation":false,"usgs":false,"family":"Archer","given":"Louise","email":"","middleInitial":"C.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":904991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Stephen N.","contributorId":12365,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":904992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":904993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Penk, Stephanie R. 0000-0002-8027-4372","orcid":"https://orcid.org/0000-0002-8027-4372","contributorId":312472,"corporation":false,"usgs":false,"family":"Penk","given":"Stephanie","email":"","middleInitial":"R.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":904994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Molnar, Peter K.","contributorId":339736,"corporation":false,"usgs":false,"family":"Molnar","given":"Peter","email":"","middleInitial":"K.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":904995,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252083,"text":"70252083 - 2023 - A decade of death and other dynamics: Deepening perspectives on the diversity and distribution of sea stars and wasting","interactions":[],"lastModifiedDate":"2024-03-13T11:42:12.578809","indexId":"70252083","displayToPublicDate":"2023-12-22T06:41:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1014,"text":"Biological Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A decade of death and other dynamics: Deepening perspectives on the diversity and distribution of sea stars and wasting","docAbstract":"

Mass mortality events provide valuable insight into biological extremes and also ecological interactions more generally. The sea star wasting epidemic that began in 2013 catalyzed study of the microbiome, genetics, population dynamics, and community ecology of several high-profile species inhabiting the northeastern Pacific but exposed a dearth of information on the diversity, distributions, and impacts of sea star wasting for many lesser-known sea stars and a need for integration across scales. Here, we combine datasets from single-site to coast-wide studies, across time lines from weeks to decades, for 65 species. We evaluated the impacts of abiotic characteristics hypothetically associated with sea star wasting (sea surface temperature, pelagic primary productivity, upwelling wind forcing, wave exposure, freshwater runoff) and species characteristics (depth distribution, developmental mode, diet, habitat, reproductive period). We find that the 2010s sea star wasting outbreak clearly affected a little over a dozen species, primarily intertidal and shallow subtidal taxa, causing instantaneous wasting prevalence rates of 5%–80%. Despite the collapse of some populations within weeks, environmental and species variation protracted the outbreak, which lasted 2–3 years from onset until declining to chronic background rates of ∼2% sea star wasting prevalence. Recruitment began immediately in many species, and in general, sea star assemblages trended toward recovery; however, recovery was heterogeneous, and a marine heatwave in 2019 raised concerns of a second decline. The abiotic stressors most associated with the 2010s sea star wasting outbreak were elevated sea surface temperature and low wave exposure, as well as freshwater discharge in the north. However, detailed data speaking directly to the biological, ecological, and environmental cause(s) and consequences of the sea star wasting outbreak remain limited in scope, unavoidably retrospective, and perhaps always indeterminate. Redressing this shortfall for the future will require a broad spectrum of monitoring studies not less than the taxonomically broad cross-scale framework we have modeled in this synthesis.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/727969","usgsCitation":"Dawson, M., Duffin, P., Giakoumis, M., Schiebelhut, L.M., Beas-Luna, R., Bosley, K., Castilho, R., Ewers-Saucedo, C., Gavenus, K., Keller, A., Konar, B., Largier, J.L., Lorda, J., Miner, M., Moritsch, M., Navarette, S., Raimondi, P.T., Traiger, S.B., Turner, M., and Wares, J., 2023, A decade of death and other dynamics: Deepening perspectives on the diversity and distribution of sea stars and wasting: Biological Bulletin, v. 244, no. 3, https://doi.org/10.1086/727969.","ipdsId":"IP-131426","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441377,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/56754","text":"External Repository"},{"id":426574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"244","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dawson, Michael","contributorId":334800,"corporation":false,"usgs":false,"family":"Dawson","given":"Michael","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":896550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffin, Paige","contributorId":295356,"corporation":false,"usgs":false,"family":"Duffin","given":"Paige","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":896551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giakoumis, Melina","contributorId":334801,"corporation":false,"usgs":false,"family":"Giakoumis","given":"Melina","email":"","affiliations":[{"id":39562,"text":"City University of New York","active":true,"usgs":false}],"preferred":false,"id":896552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schiebelhut, Lauren M","contributorId":295369,"corporation":false,"usgs":false,"family":"Schiebelhut","given":"Lauren","email":"","middleInitial":"M","affiliations":[{"id":54780,"text":"UC Merced","active":true,"usgs":false}],"preferred":false,"id":896553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beas-Luna, Rodrigo","contributorId":127447,"corporation":false,"usgs":false,"family":"Beas-Luna","given":"Rodrigo","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":896554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bosley, 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Katie","contributorId":334805,"corporation":false,"usgs":false,"family":"Gavenus","given":"Katie","email":"","affiliations":[{"id":80255,"text":"Center for Alaskan Coastal Studies","active":true,"usgs":false}],"preferred":false,"id":896558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Keller, Aimee","contributorId":334806,"corporation":false,"usgs":false,"family":"Keller","given":"Aimee","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":896559,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Konar, Brenda","contributorId":131034,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":896560,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Largier, John L.","contributorId":175121,"corporation":false,"usgs":false,"family":"Largier","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":896561,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lorda, Julio","contributorId":334807,"corporation":false,"usgs":false,"family":"Lorda","given":"Julio","affiliations":[{"id":34468,"text":"Universidad Autonoma de Baja California","active":true,"usgs":false}],"preferred":false,"id":896562,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Miner, Melissa","contributorId":334808,"corporation":false,"usgs":false,"family":"Miner","given":"Melissa","email":"","affiliations":[{"id":80256,"text":"University of Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":896563,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Moritsch, Monica","contributorId":304091,"corporation":false,"usgs":false,"family":"Moritsch","given":"Monica","affiliations":[{"id":65966,"text":"EDF","active":true,"usgs":false}],"preferred":false,"id":896564,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Navarette, Sergio","contributorId":334809,"corporation":false,"usgs":false,"family":"Navarette","given":"Sergio","email":"","affiliations":[{"id":66274,"text":"Pontifica Universidad Catolica de Chile","active":true,"usgs":false}],"preferred":false,"id":896565,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Raimondi, Peter T.","contributorId":139302,"corporation":false,"usgs":false,"family":"Raimondi","given":"Peter","email":"","middleInitial":"T.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":896566,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Traiger, Sarah Beth 0000-0002-6222-1445","orcid":"https://orcid.org/0000-0002-6222-1445","contributorId":293218,"corporation":false,"usgs":true,"family":"Traiger","given":"Sarah","email":"","middleInitial":"Beth","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":896567,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Turner, Monica","contributorId":193037,"corporation":false,"usgs":false,"family":"Turner","given":"Monica","affiliations":[],"preferred":false,"id":896568,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wares, John","contributorId":177199,"corporation":false,"usgs":false,"family":"Wares","given":"John","affiliations":[],"preferred":false,"id":896569,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70251274,"text":"70251274 - 2023 - How to handle glacier area change in geodetic mass balance","interactions":[],"lastModifiedDate":"2024-12-26T16:30:44.095182","indexId":"70251274","displayToPublicDate":"2023-12-21T06:52:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"How to handle glacier area change in geodetic mass balance","docAbstract":"

Innovations in geodesy enable widespread analysis of glacier surface elevation change and geodetic mass balance. However, coincident glacier area data are less widely available, causing inconsistent handling of glacier area change. Here we quantify the bias introduced into meters water equivalent (m w.e.) specific geodetic mass balance results when using a fixed, maximum glacier area, and illustrate the bias for five North American glaciers. Sites span latitudes from the northern U.S. Rocky Mountains (48°N) to the Central Alaska Range (63°N) between 1948 and 2021. Results show that fixed (maximum) area treatment subdues the m w.e. mass change signal, underestimating mass balance by up to 19% in our test cases. This bias scales with relative glacier area change and the mass balance magnitude. Thus, the bias for specific geodetic mass balances will be most pronounced across rapidly deglaciating regions. Our analysis underscores the need for temporally resolved glacier area in geodetic mass balance studies.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2023.86","usgsCitation":"Florentine, C., Sass, L., McNeil, C., Baker, E., and O'Neel, S., 2023, How to handle glacier area change in geodetic mass balance: Journal of Glaciology, v. 69, no. 278, p. 2169-2175, https://doi.org/10.1017/jog.2023.86.","productDescription":"7 p.","startPage":"2169","endPage":"2175","ipdsId":"IP-152176","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441382,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2023.86","text":"Publisher Index Page"},{"id":425280,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"278","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":893801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":893802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":893803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Emily 0000-0002-0938-3496 ehbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":200570,"corporation":false,"usgs":true,"family":"Baker","given":"Emily","email":"ehbaker@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":893804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Neel, Shad 0000-0002-9185-0144","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":289666,"corporation":false,"usgs":false,"family":"O'Neel","given":"Shad","affiliations":[{"id":62222,"text":"Cold Regions Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":893805,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252460,"text":"70252460 - 2023 - Site fidelity of migratory shorebirds facing habitat deterioration: Insights from satellite tracking and mark-resighting","interactions":[],"lastModifiedDate":"2024-03-25T11:45:42.749366","indexId":"70252460","displayToPublicDate":"2023-12-21T06:41:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Site fidelity of migratory shorebirds facing habitat deterioration: Insights from satellite tracking and mark-resighting","docAbstract":"

Background

Site fidelity, the tendency to return to a previously visited site, is commonly observed in migratory birds. This behaviour would be advantageous if birds returning to the same site, benefit from their previous knowledge about local resources. However, when habitat quality declines at a site over time, birds with lower site fidelity might benefit from a tendency to move to sites with better habitats. As a first step towards understanding the influence of site fidelity on how animals cope with habitat deterioration, here we describe site fidelity variation in two species of sympatric migratory shorebirds (Bar-tailed Godwits Limosa lapponica and Great Knots Calidris tenuirostris). Both species are being impacted by the rapid loss and deterioration of intertidal habitats in the Yellow Sea where they fuel up during their annual long-distance migrations.

Methods

Using satellite tracking and mark-resighting data, we measured site fidelity in the non-breeding (austral summer) and migration periods, during which both species live and co-occur in Northwest Australia and the Yellow Sea, respectively.

Results

Site fidelity was generally high in both species, with the majority of individuals using only one site during the non-breeding season and revisiting the same sites during migration. Nevertheless, Great Knots did exhibit lower site fidelity than Bar-tailed Godwits in both Northwest Australia and the Yellow Sea across data types.

Conclusions

Great Knots encountered substantial habitat deterioration just before and during our study period but show the same rate of decline in population size and individual survival as the less habitat-impacted Bar-tailed Godwits. This suggests that the lower site fidelity of Great Knots might have helped them to cope with the habitat changes. Future studies on movement patterns and their consequences under different environmental conditions by individuals with different degrees of site fidelity could help broaden our understanding of how species might react to, and recover from, local habitat deterioration.

","language":"English","publisher":"Springer","doi":"10.1186/s40462-023-00443-9","usgsCitation":"Chan, Y., Chan, D.T., Tibbitts, T., Hassell, C.J., and Piersma, T., 2023, Site fidelity of migratory shorebirds facing habitat deterioration: Insights from satellite tracking and mark-resighting: Movement Ecology, v. 11, 79, 13 p., https://doi.org/10.1186/s40462-023-00443-9.","productDescription":"79, 13 p.","ipdsId":"IP-151596","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441386,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00443-9","text":"Publisher Index Page"},{"id":426959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Chan, Ying-Chi","contributorId":167762,"corporation":false,"usgs":false,"family":"Chan","given":"Ying-Chi","email":"","affiliations":[{"id":24822,"text":"Department of Marine Ecology, NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":897211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chan, David Tsz-Chung","contributorId":334994,"corporation":false,"usgs":false,"family":"Chan","given":"David","email":"","middleInitial":"Tsz-Chung","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":897212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":897213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hassell, Chris J.","contributorId":127818,"corporation":false,"usgs":false,"family":"Hassell","given":"Chris","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":897234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Piersma, Theunis","contributorId":45863,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":897235,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250567,"text":"ofr20231077 - 2023 - Applying intrinsic potential models to evaluate salmon (Oncorhynchus spp.) introduction into main-stem and tributary habitats upstream from the Skagit River Hydroelectric Project, northern Washington","interactions":[],"lastModifiedDate":"2024-12-03T19:37:33.744214","indexId":"ofr20231077","displayToPublicDate":"2023-12-18T14:53:20","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1077","displayTitle":"Applying Intrinsic Potential Models to Evaluate Salmon (Oncorhynchus spp.) Introduction into Main-Stem and Tributary Habitats Upstream from the Skagit River Hydroelectric Project, Northern Washington","title":"Applying intrinsic potential models to evaluate salmon (Oncorhynchus spp.) introduction into main-stem and tributary habitats upstream from the Skagit River Hydroelectric Project, northern Washington","docAbstract":"

We assessed habitat suitability for salmonids across selected tributaries upstream from three hydroelectric dams on the upper Skagit River in Whatcom County, northern Washington. We used NetMap, a commercial toolset within the ArcMap geographic information system (GIS), to analyze stream attributes based upon a synthetic stream channel network derived from digital elevation models. The GIS-derived stream attributes—including gradient, bankfull width, valley width index, elevation, and stream flow—allowed us to examine the spatial distribution and relative quality of spawning and rearing habitat for salmonids based on existing intrinsic potential (IP) models. As a first step, we created maps of potential anadromous fish distribution by identifying potential migration barriers within the synthetic stream network. Next, we applied a suite of existing IP models for steelhead, coho, and Chinook salmon (Oncorhynchus mykiss, O. kisutch, and O. tshawytscha, respectively) to estimate low, medium, and high IP habitat for each species. Three different IP models were used for each species, based on species preference curves from populations from coastal Oregon, northern California, Alaska, and western Washington. We found that at least 25 tributaries that were greater than third order and contained habitat with the potential for anadromous fish, totaling about 470 river kilometers in 4,453 synthetic stream reaches averaging about 100 meters (m) in length. The IP of each of these reaches was calculated and placed into low, medium, and high IP categories. For Chinook salmon, the only stream with significantly (in other words, greater than 1 kilometer [km]) high IP reaches was the upper Skagit River upstream from Ross Lake reservoir in Canada, upstream from the third dam in the hydroelectric system. There were differences among the three models evaluated, with the model derived for the lower Skagit River showing more high and medium IP habitat than the other two models that were designed for the Columbia River Basin. For coho salmon, all three models showed similar results favoring medium IP over low and high IP habitat. Of the 3 species examined with existing IP models, steelhead had the most habitat rated as high IP with 19 targeted tributaries showing greater than 1 km of high intrinsic potential habitat.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231077","collaboration":"Prepared in cooperation with Seattle City Light","usgsCitation":"Duda, J.J., and Hardiman, J.M., 2023, Applying intrinsic potential models to evaluate salmon (Oncorhynchus spp.) introduction into main-stem and tributary habitats upstream from the Skagit River Hydroelectric Project, northern Washington: U.S. Geological Survey Open-File Report 2023-1077, 44 p. https://doi.org/10.3133/ofr20231077.","productDescription":"Report: viii, 44 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-147497","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":423653,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1077/ofr20231077.XML"},{"id":423733,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MKQ2UK","text":"USGS data release","description":"USGS data release","linkHelpText":"Upper Skagit River intrinsic potential results"},{"id":423650,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1077/ofr20231077.pdf"},{"id":423649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1077/ofr20231077.jpg"},{"id":423652,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1077/Images"},{"id":423651,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231077/full"}],"country":"Canada, United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.3,\n 49.3\n ],\n [\n -121.3,\n 48.3\n ],\n [\n -120.3,\n 48.3\n ],\n [\n -120.3,\n 49.3\n ],\n [\n -121.3,\n 49.3\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2023-12-18","noUsgsAuthors":false,"publicationDate":"2023-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":890407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":890408,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70256182,"text":"70256182 - 2023 - Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals","interactions":[],"lastModifiedDate":"2024-07-25T23:58:14.226325","indexId":"70256182","displayToPublicDate":"2023-12-15T18:56:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals","docAbstract":"

Extensive, detailed information on the spatial distribution of active layer thickness (ALT) in northern Alaska and how it evolves over time could greatly aid efforts to assess the effects of climate change on the region and also help to quantify greenhouse gas emissions generated due to permafrost thaw. For this reason, we have been developing high-resolution maps of ALT throughout northern Alaska. The maps are produced by upscaling from high-resolution swaths of estimated ALT retrieved from airborne P-band synthetic aperture radar (SAR) images collected for three different years. The upscaling was accomplished by using hundreds of thousands of randomly selected samples from the SAR-derived swaths of ALT to train a machine learning regression algorithm supported by numerous spatial data layers. In order to validate the maps, thousands of randomly selected samples of SAR-derived ALT were excluded from the training in order to serve as validation pixels; error performance calculations relative to these samples yielded root-mean-square errors (RMSEs) of 7.5–9.1 cm, with bias errors of magnitude under 0.1 cm. The maps were also compared to ALT measurements collected at a number of in situ test sites; error performance relative to the site measurements yielded RMSEs of approximately 11–12 cm and bias of 2.7–6.5 cm. These data are being used to investigate regional patterns and underlying physical controls affecting permafrost degradation in the tundra biome.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ad127f","usgsCitation":"Whitcomb, J., Chen, R., Clewley, D., Kimball, J.S., Pastick, N., Yi, Y., and Moghaddam, M., 2023, Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals: Environmental Research Letters, v. 19, 014046, 14 p., https://doi.org/10.1088/1748-9326/ad127f.","productDescription":"014046, 14 p.","ipdsId":"IP-157950","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":441407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1088/1748-9326/ad127f","text":"Publisher Index Page"},{"id":431453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","noUsgsAuthors":false,"publicationDate":"2023-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Whitcomb, Jane 0000-0002-2919-7260","orcid":"https://orcid.org/0000-0002-2919-7260","contributorId":340381,"corporation":false,"usgs":false,"family":"Whitcomb","given":"Jane","email":"","affiliations":[{"id":81594,"text":"University of Southern California, Dept. of Electrical Engineering","active":true,"usgs":false}],"preferred":false,"id":907011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Richard","contributorId":340382,"corporation":false,"usgs":false,"family":"Chen","given":"Richard","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":907012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clewley, Daniel 0000-0003-1243-3711","orcid":"https://orcid.org/0000-0003-1243-3711","contributorId":340383,"corporation":false,"usgs":false,"family":"Clewley","given":"Daniel","email":"","affiliations":[{"id":81595,"text":"Plymouth Marine Laboratory, Centre for Geospatial Applications,","active":true,"usgs":false}],"preferred":false,"id":907013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimball, John S. 0000-0002-5493-5878","orcid":"https://orcid.org/0000-0002-5493-5878","contributorId":244377,"corporation":false,"usgs":false,"family":"Kimball","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":48908,"text":"U Montana","active":true,"usgs":false}],"preferred":false,"id":907014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pastick, Neal 0000-0002-4321-6739","orcid":"https://orcid.org/0000-0002-4321-6739","contributorId":222683,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":907015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yi, Yonghong 0000-0002-0039-0462","orcid":"https://orcid.org/0000-0002-0039-0462","contributorId":340384,"corporation":false,"usgs":false,"family":"Yi","given":"Yonghong","email":"","affiliations":[{"id":81596,"text":"University of California, Joint Institute for Regional Earth System Science and Engineering","active":true,"usgs":false}],"preferred":false,"id":907016,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moghaddam, Mahta","contributorId":267922,"corporation":false,"usgs":false,"family":"Moghaddam","given":"Mahta","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":907017,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70266207,"text":"70266207 - 2023 - Examining the effect of environmental variability on the viability of endangered Steller sea lions using an integrated population model","interactions":[],"lastModifiedDate":"2025-04-30T15:45:29.630755","indexId":"70266207","displayToPublicDate":"2023-12-14T00:00:00","publicationYear":"2023","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":"Examining the effect of environmental variability on the viability of endangered Steller sea lions using an integrated population model","docAbstract":"Understanding spatio-temporal variability in demography and the influence of environmental conditions offers insight into the factors underlying population dynamics. This is particularly true for species with divergent demographic patterns across large geographic areas. The contrasting abundance trends observed across the range of Steller sea lions (Eumetopias jubatus) have been studied extensively, with research suggesting that the primary drivers of localized population dynamics vary over time and space. We developed a Bayesian integrated population model for the endangered western distinct population segment of Steller sea lions that combines mark-recapture and count data from 2000-2021 to estimate demographic rates, abundance trends, and the effects of environmental variability on population growth. Our results highlight subregional demographic differences, including reduced pup survival in the central Aleutian Islands and reduced yearling survival west of Samalga Pass. Range-wide abundance increased by 1.7% yr-1 (95% credible interval: 0.14; 3.4%) over the study period, with a positive annual growth rate of 3.0% (1.1; 5.1%) yr-1 east of Samalga Pass, a negative growth rate of -2.1% (-4.6; 0.5%) yr-1 west of Samalga Pass, and an overall low probability of local extirpation (<2%) in 100 years even in subregions experiencing continued decline. The effect of environmental variability on population growth varied depending on subpopulation size and vital rates and was strongest in the area of greatest decline. Our model improves upon existing approaches for estimating abundance, accounts for environmental variability within the viability analysis, and can facilitate evaluating the efficacy of conservation actions and progress toward recovery goals.","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01282","usgsCitation":"Warlick, A., Johnson, D., Sweeney, K., Gelatt, T., and Converse, S.J., 2023, Examining the effect of environmental variability on the viability of endangered Steller sea lions using an integrated population model: Endangered Species Research, v. 52, p. 343-361, https://doi.org/10.3354/esr01282.","productDescription":"19 p.","startPage":"343","endPage":"361","ipdsId":"IP-151798","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487889,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01282","text":"Publisher Index Page"},{"id":485208,"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 \"coordinates\": [\n [\n [\n -192.3038114894406,\n 57.51067207764723\n ],\n [\n -192.3038114894406,\n 51.43442138881829\n ],\n [\n -154.88087376804862,\n 51.43442138881829\n ],\n [\n -154.88087376804862,\n 57.51067207764723\n ],\n [\n -192.3038114894406,\n 57.51067207764723\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Warlick, Amanda J.","contributorId":353988,"corporation":false,"usgs":false,"family":"Warlick","given":"Amanda J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":934927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":353989,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin S.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweeney, Katie L.","contributorId":353990,"corporation":false,"usgs":false,"family":"Sweeney","given":"Katie L.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gelatt, Tom S.","contributorId":353991,"corporation":false,"usgs":false,"family":"Gelatt","given":"Tom S.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":934931,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255632,"text":"70255632 - 2023 - Feasibility of implementing a long-term plan to monitor the Arctic Basin polar bear subpopulation","interactions":[],"lastModifiedDate":"2024-06-27T14:23:19.203493","indexId":"70255632","displayToPublicDate":"2023-12-12T09:10:29","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Feasibility of implementing a long-term plan to monitor the Arctic Basin polar bear subpopulation","docAbstract":"

The Arctic Basin (AB) polar bear subpopulation is the least studied of the 19 global polar bear subpopulations. The Polar Bear Specialist Group (PBSG) recognizes the AB subpopulation as a regional grouping intended to include bears that do not belong to any of the remaining subpopulations that have data to support boundary delineations. Very little is currently known about the AB subpopulation including information on its size, genetic uniqueness, or movement patterns, most likely due to its remote range, and uncertainty about whether the AB subpopulation represents a true subpopulation. We provide an overview on the minimum requirements needed to monitor the AB subpopulation; challenges for establishing and implementing a monitoring program; feasibility of different monitoring techniques; alternative sources of inference; and general suggestions for moving forward.

","language":"English","publisher":"Polar Bear Range States","usgsCitation":"Wilson, R.H., Aars, J., Atwood, T.C., and Richardson, E., 2023, Feasibility of implementing a long-term plan to monitor the Arctic Basin polar bear subpopulation, 12 p.","productDescription":"12 p.","ipdsId":"IP-152119","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":430570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430549,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.polarbearagreement.org/resources/circumpolar-action-plan/cap-2020-2023-implementation-plan/objective-7-plan/objective-7-final-papers/rmv-a1-feasibility-of-implementing-a-long-term-plan-to-monitor-the-arctic-basin-polar-bear-subpopulation"}],"country":"Canada, Greenland, Norway, Russia, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 0.6021951119280118,\n 82.00587311860781\n ],\n [\n 14.554236193208169,\n 58.83017304437573\n ],\n [\n 179.9,\n 53.347998970191185\n ],\n [\n 179.9,\n 76.31551663782366\n ],\n [\n 0.6021951119280118,\n 82.00587311860781\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 77.41222161200673\n ],\n [\n -179.9,\n 52.376980362713766\n ],\n [\n -24.54619193353716,\n 52.376980362713766\n ],\n [\n -9.77958939997336,\n 84.0635093320891\n ],\n [\n -99.66600125197836,\n 82.267807345001\n ],\n [\n -179.9,\n 77.41222161200673\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":904996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aars, Jon","contributorId":91338,"corporation":false,"usgs":false,"family":"Aars","given":"Jon","email":"","affiliations":[{"id":7238,"text":"Norwegian Polar Institute","active":true,"usgs":false}],"preferred":false,"id":904997,"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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":904998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, Evan","contributorId":194428,"corporation":false,"usgs":false,"family":"Richardson","given":"Evan","affiliations":[],"preferred":false,"id":904999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250461,"text":"70250461 - 2023 - Differential heat shock protein responses in two species of Pacific salmon and their utility in identifying heat stress","interactions":[],"lastModifiedDate":"2023-12-12T12:41:27.355729","indexId":"70250461","displayToPublicDate":"2023-12-07T06:39:27","publicationYear":"2023","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":"Differential heat shock protein responses in two species of Pacific salmon and their utility in identifying heat stress","docAbstract":"

Rapid and accelerating warming of salmon habitat has the potential to lower productivity of Pacific salmon (Oncorhynchus species) populations. Heat stress biomarkers can indicate where warming is most likely affecting fish populations; however, we often lack clear classifications that separate individuals with and without heat stress needed to make these tools operational. We conducted a heat exposure experiment with trials lasting 12 or 36 h using juvenile Chinook salmon (Oncorhynchus tshawytscha) and coho salmon (Oncorhynchus kisutch) to validate heat stress biomarkers in white muscle. Following habituation to 13°C, individuals were exposed to water temperatures that increased to 15°C, 17°C, 19°C, 21°C or 23°C. Heat shock protein 70 abundance (HSP70 measured by ELISA) and transcription of 13 genes (mRNA measured by qPCR) including three heat shock protein genes (hsp70, hsp90, hsp27) were measured. A distinct heat stress response was apparent by 21°C in juvenile Chinook salmon and 23°C in juvenile coho salmon using HSP70. A threshold for heat stress classification in Chinook salmon of > 2 ng HSP70 mg.1 total protein identified heat stress in 100% of 21 and 23°C treated individuals compared to 4% in cooler treatments. For coho salmon, > 3 ng HSP70 mg.1 total protein identified heat stress in 100% of 23°C treated individuals compared to 4% in cooler treatments. Transcription from a panel of genes separated individuals between cooler and stressful temperature experiences (≥21°C for Chinook salmon and ≥23°C for coho salmon) with ~ 85% correct classification. Our findings indicate that juvenile Chinook salmon were more temperature-sensitive than juvenile coho salmon and support the use of a HSP70 threshold sampled from muscle for assessing heat stress in individual wild Pacific salmon with an option for non-lethal biopsies for spawning adults.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coad092","usgsCitation":"von Biela, V.R., Regish, A.M., Bowen, L., Stanek, A.E., Waters-Dynes, S.C., Carey, M.P., Zimmerman, C.E., Gerken, J., Rinella, D., and McCormick, S.D., 2023, Differential heat shock protein responses in two species of Pacific salmon and their utility in identifying heat stress: Conservation Physiology, v. 11, no. 1, coad092, 18 p., https://doi.org/10.1093/conphys/coad092.","productDescription":"coad092, 18 p.","ipdsId":"IP-151954","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441465,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coad092","text":"Publisher Index Page"},{"id":435111,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GPHHTC","text":"USGS data release","linkHelpText":"Gene Transcription and Heat Shock Protein 70 Abundance in Juvenile Hatchery Reared Coho Salmon and Chinook Salmon during a Manipulative Thermal Experiment, Anchorage, Alaska 2020-2021"},{"id":423432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":120,"text":"Alaska Science Center Water","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":889992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":889993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":889994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanek, Ashley E. 0000-0001-5184-2126","orcid":"https://orcid.org/0000-0001-5184-2126","contributorId":290682,"corporation":false,"usgs":true,"family":"Stanek","given":"Ashley","email":"","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":889995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":889996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":889997,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":889998,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gerken, Jonathon","contributorId":280015,"corporation":false,"usgs":false,"family":"Gerken","given":"Jonathon","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":889999,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rinella, Daniel","contributorId":264541,"corporation":false,"usgs":false,"family":"Rinella","given":"Daniel","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":890000,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":890001,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70250443,"text":"70250443 - 2023 - Fractures, scarps, faults, and landslides mapped using LiDAR, Glacier Bay National Park and Preserve, Alaska","interactions":[],"lastModifiedDate":"2023-12-09T14:53:33.90405","indexId":"70250443","displayToPublicDate":"2023-12-01T08:48:59","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Fractures, scarps, faults, and landslides mapped using LiDAR, Glacier Bay National Park and Preserve, Alaska","docAbstract":"

This map of fractures, scarps, faults, and landslides was completed to identify areas in Glacier Bay National Park and Preserve that may present a landslide-generated tsunami hazard. To address the potential of landslide and tsunami hazards in the park, the National Park Service (NPS) and the US Geological Survey (USGS) partnered to conduct a multi-year hazard assessment of Glacier Bay National Park and Preserve. To produce the map described in this report, we used the newly acquired (2019-2020) light detection and ranging (LiDAR) 0.5 to 1.0 m digital elevation models (DEMs) that cover all the coastal areas of the park and extend up to the ridgetops in places with steep slopes. A bare earth DEM was used to identify and map areas of incipient landslides (i.e., fractures and scarps), fault scarps, and areas where landslides have clearly occurred in the past (i.e., areas where scars and deposits are clearly visible). This map provides a baseline data set that can be used to aid forecasts of where landslides are most likely to occur in the future.

","language":"English","publisher":"National Park Service","doi":"10.36967/2300706","collaboration":"National Park Service","usgsCitation":"Hults, C., Coe, J.A., and Avdievitch, N.N., 2023, Fractures, scarps, faults, and landslides mapped using LiDAR, Glacier Bay National Park and Preserve, Alaska, iv, 14 p., https://doi.org/10.36967/2300706.","productDescription":"iv, 14 p.","ipdsId":"IP-147660","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":423385,"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 \"coordinates\": [\n [\n [\n -139.23040794383448,\n 59.9305550708161\n ],\n [\n -139.23040794383448,\n 57.252640525398476\n ],\n [\n -134.22064231883454,\n 57.252640525398476\n ],\n [\n -134.22064231883454,\n 59.9305550708161\n ],\n [\n -139.23040794383448,\n 59.9305550708161\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hults, Chad","contributorId":332290,"corporation":false,"usgs":false,"family":"Hults","given":"Chad","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":889926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":889927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Avdievitch, Nikita N. 0000-0002-2507-2962","orcid":"https://orcid.org/0000-0002-2507-2962","contributorId":225492,"corporation":false,"usgs":true,"family":"Avdievitch","given":"Nikita","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":889928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250601,"text":"70250601 - 2023 - Divergent responses of western Alaska salmon to a changing climate","interactions":[],"lastModifiedDate":"2024-02-07T17:14:56.026768","indexId":"70250601","displayToPublicDate":"2023-12-01T06:49:07","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Divergent responses of western Alaska salmon to a changing climate","docAbstract":"

Headlines

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Arctic Report Card","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"NOAA","doi":"10.25923/f2hv-5581","usgsCitation":"Schoen, E., Howard, K.G., Murphy, J., Schindler, D., Westley, P., and von Biela, V.R., 2023, Divergent responses of western Alaska salmon to a changing climate, HTML Document, https://doi.org/10.25923/f2hv-5581.","productDescription":"HTML Document","ipdsId":"IP-158550","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":423744,"rank":1,"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 \"coordinates\": [\n [\n [\n -139.6101604988394,\n 61.2015830860681\n ],\n [\n -139.43437924883952,\n 66.17389289158615\n ],\n [\n -140.1375042488394,\n 67.95408453891542\n ],\n [\n -144.7078167488394,\n 68.92291840612816\n ],\n [\n -153.8484417488394,\n 67.42020730537521\n ],\n [\n -160.87969174883918,\n 65.52668632036398\n ],\n [\n -162.9890667488394,\n 64.10587463586813\n ],\n [\n -167.20781674883932,\n 62.364181084501865\n ],\n [\n -166.50469174883943,\n 59.81851305865456\n ],\n [\n -161.40703549883915,\n 58.556875579514866\n ],\n [\n -159.1218792488393,\n 57.53360560212221\n ],\n [\n -165.09844174883935,\n 54.59125546767737\n ],\n [\n -162.28594174883924,\n 54.794443813412215\n ],\n [\n -157.18828549883924,\n 57.344396153787955\n ],\n [\n -154.7273479988392,\n 58.185754905844135\n ],\n [\n -152.96953549883932,\n 60.85620691034802\n ],\n [\n -150.5085979988393,\n 62.850205674657445\n ],\n [\n -145.76250424883938,\n 63.32755335378286\n ],\n [\n -139.6101604988394,\n 61.2015830860681\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schoen, Erik","contributorId":280216,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":890521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howard, Kathrine G.","contributorId":302903,"corporation":false,"usgs":false,"family":"Howard","given":"Kathrine","email":"","middleInitial":"G.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":890522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, James","contributorId":210957,"corporation":false,"usgs":false,"family":"Murphy","given":"James","affiliations":[],"preferred":false,"id":890523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schindler, Daniel","contributorId":331940,"corporation":false,"usgs":false,"family":"Schindler","given":"Daniel","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":890524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westley, Peter A. H.","contributorId":287084,"corporation":false,"usgs":false,"family":"Westley","given":"Peter A. H.","affiliations":[{"id":61459,"text":"afg","active":true,"usgs":false}],"preferred":false,"id":890525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":890526,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250167,"text":"70250167 - 2023 - Arctic-boreal lakes of interior Alaska dominated by contemporary carbon","interactions":[],"lastModifiedDate":"2023-11-24T12:35:19.407915","indexId":"70250167","displayToPublicDate":"2023-11-24T06:19:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Arctic-boreal lakes of interior Alaska dominated by contemporary carbon","docAbstract":"

Northern high-latitude lakes are critical sites for carbon processing and serve as potential conduits for the emission of permafrost-derived carbon and greenhouse gases. However, the fate and emission pathways of permafrost carbon in these systems remain uncertain. Here, we used the natural abundance of radiocarbon to identify and trace the predominant sources of methane, carbon dioxide, dissolved inorganic and organic carbon in nine lakes within the Yukon Flats National Wildlife Refuge in interior Alaska, a discontinuous permafrost region with high landscape heterogeneity and susceptibility to climate, permafrost, and hydrological changes. We find that although Yukon Flats lakes primarily process young carbon (modern to 1290 ± 60 years before present), permafrost-derived carbon is present in some of the sampled lakes and contributes, at most, 30 ± 10% of the dissolved carbon in lake surface waters. Apportionment of young carbon and legacy carbon (carbon with radiocarbon age ⩾5000 years before present) is decoupled among the dissolved inorganic and organic carbon species, with methane showing a stronger legacy signature. Our observations suggest that permafrost-thaw-related transport of carbon through Yukon Flats lacustrine ecosystems and into the atmosphere is small, and likely regulated by surficial sediments, permafrost distribution, wildfire occurrence, or masked by contemporary carbon processes. The heterogeneity of lakes across our study area and northern landscapes more broadly cautions against using any one region (e.g. Yedoma permafrost lakes) to upscale their contribution across the pan-Arctic.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ad0993","usgsCitation":"Garcia-Tigreros, F., Elder, C.D., Kurek, M.R., Miller, B.L., Xu, X., Wickland, K., Czimczik, C.I., Dornblaser, M.M., Striegl, R.G., Kyzivat, E.D., Smith, L., Spencer, R., Miller, C.E., and Butman, D., 2023, Arctic-boreal lakes of interior Alaska dominated by contemporary carbon: Environmental Research Letters, v. 18, no. 12, 124024, 11 p., https://doi.org/10.1088/1748-9326/ad0993.","productDescription":"124024, 11 p.","ipdsId":"IP-148398","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":441558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad0993","text":"Publisher Index Page"},{"id":422881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Boot Lake, Canvasback Lake, Greenpepper Lake, Shack Lake, Thumb Lake, Twelvemile Lake, Twin Lake, West Crazy Lake, YF18 Lake, Yukon Flats National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -152.32495243819622,\n 65.09586209258472\n ],\n [\n -149.03799309568313,\n 64.59463623905711\n ],\n [\n -143.9761424480567,\n 65.63219990838482\n ],\n [\n -141.00690728046249,\n 66.43516910407672\n ],\n [\n -140.9727162057442,\n 68.73213031511489\n ],\n [\n -148.19579980608407,\n 67.27696483824582\n ],\n [\n -153.60488278174276,\n 67.04326208119708\n ],\n [\n -152.32495243819622,\n 65.09586209258472\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":888627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elder, Clayton D.","contributorId":201542,"corporation":false,"usgs":false,"family":"Elder","given":"Clayton","email":"","middleInitial":"D.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":888628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurek, Martin R.","contributorId":300567,"corporation":false,"usgs":false,"family":"Kurek","given":"Martin","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":888629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Benjamin L.","contributorId":331727,"corporation":false,"usgs":false,"family":"Miller","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":888630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xu, Xiaomei","contributorId":139915,"corporation":false,"usgs":false,"family":"Xu","given":"Xiaomei","email":"","affiliations":[{"id":13312,"text":"University of California-Irvine","active":true,"usgs":false}],"preferred":false,"id":888631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - 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