{"pageNumber":"13","pageRowStart":"300","pageSize":"25","recordCount":11370,"records":[{"id":70252109,"text":"70252109 - 2024 - Characterization of the structural–stratigraphic and reservoir controls on the occurrence of gas hydrates in the Eileen Gas Hydrate Trend, Alaska North Slope","interactions":[],"lastModifiedDate":"2024-03-14T12:24:16.636126","indexId":"70252109","displayToPublicDate":"2024-03-10T07:12:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17173,"text":"Journal of Marine Science Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the structural–stratigraphic and reservoir controls on the occurrence of gas hydrates in the Eileen Gas Hydrate Trend, Alaska North Slope","docAbstract":"<div class=\"html-p\">One of the most studied permafrost-associated gas hydrate accumulations in Arctic Alaska is the Eileen Gas Hydrate Trend. This study provides a detailed re-examination of the Eileen Gas Hydrate Trend with a focus on the gas hydrate accumulation in the western part of the Prudhoe Bay Unit. This integrated analysis of downhole well log data and published geophysical data has provided new insight on structural, stratigraphic, and reservoir controls on the occurrence of gas hydrates in the Eileen Gas Hydrate Trend. This study revealed the relatively complex nature of the gas hydrate occurrences in the Eileen Gas Hydrate Trend, with gas hydrates present in a series of coarsening upward, laterally pervasive, mostly fine-grained sand beds exhibiting high gas hydrate saturations. Most of the gas hydrate-bearing reservoirs in the Eileen Gas Hydrate Trend are laterally segmented into distinct northwest- to southeast-trending fault blocks, occur in a combination of structural–stratigraphic traps, and are only partially hydrate filled with distinct down-dip water contacts. These findings suggest that the traditional parts of a petroleum system (i.e., reservoir, gas source, gas migration, and geologic timing of the system formation) also control the occurrence of gas hydrates in the Eileen Gas Hydrate Trend.</div>","language":"English","publisher":"MDPI","doi":"10.3390/jmse12030472","usgsCitation":"Zyrianova, M., Collett, T., and Boswell, R., 2024, Characterization of the structural–stratigraphic and reservoir controls on the occurrence of gas hydrates in the Eileen Gas Hydrate Trend, Alaska North Slope: Journal of Marine Science Engineering, v. 12, no. 3, 472, 45 p., https://doi.org/10.3390/jmse12030472.","productDescription":"472, 45 p.","ipdsId":"IP-100580","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":440161,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse12030472","text":"Publisher Index Page"},{"id":426635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -151.16647628557732,\n              70.77616685382256\n            ],\n            [\n              -151.16647628557732,\n              69.89294737240095\n            ],\n            [\n              -148.37095486944847,\n              69.89294737240095\n            ],\n            [\n              -148.37095486944847,\n              70.77616685382256\n            ],\n            [\n              -151.16647628557732,\n              70.77616685382256\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Zyrianova, Margarita 0000-0002-3669-1320","orcid":"https://orcid.org/0000-0002-3669-1320","contributorId":220805,"corporation":false,"usgs":true,"family":"Zyrianova","given":"Margarita","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220812,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boswell, Ray","contributorId":242633,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":34152,"text":"US Department of Energy","active":true,"usgs":false}],"preferred":false,"id":896659,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252458,"text":"70252458 - 2024 - Molecular sexing of birds using quantitative PCR (qPCR) of sex-linked genes and logistic regression models","interactions":[],"lastModifiedDate":"2024-04-10T16:04:04.232588","indexId":"70252458","displayToPublicDate":"2024-03-04T07:16:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Molecular sexing of birds using quantitative PCR (qPCR) of sex-linked genes and logistic regression models","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>The ability to sex individuals is an important component of many behavioural and ecological investigations and provides information for demographic models used in conservation and species management. However, many birds are difficult to sex using morphological characters or traditional molecular sexing methods. In this study, we developed probabilistic models for sexing birds using quantitative PCR (qPCR) data. First, we quantified distributions of gene copy numbers at a set of six sex-linked genes, including the sex-determining gene<span>&nbsp;</span><i>DMRT1</i>, for individuals across 17 species and seven orders of birds (<i>n</i> = 150). Using these data, we built predictive logistic models for sex identification and tested their performance with independent samples from 51 species and 13 orders (<i>n</i> = 209). Models using the two loci most highly correlated with sex had greater accuracy than models using the full set of sex-linked loci, across all taxonomic levels of analysis. Sex identification was highly accurate when individuals to be assigned were of species used in model building. Our analytical approach was widely applicable across diverse neognath bird lineages spanning millions of years of evolutionary divergence. Unlike previous methods, our probabilistic framework incorporates uncertainty around qPCR measurements as well as biological variation within species into decision-making rules. We anticipate that this method will be useful for sexing birds, including those of high conservation concern and/or subsistence value, that have proven difficult to sex using traditional approaches. Additionally, the general analytical framework presented in this paper may also be applicable to other organisms with sex chromosomes.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13946","usgsCitation":"Petrou, E., Scott, L.C., Mckeeman, C.M., and Ramey, A.M., 2024, Molecular sexing of birds using quantitative PCR (qPCR) of sex-linked genes and logistic regression models: Molecular Ecology Resources, v. 24, no. 4, e13946, 11 p., https://doi.org/10.1111/1755-0998.13946.","productDescription":"e13946, 11 p.","ipdsId":"IP-155590","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440235,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.13946","text":"Publisher Index Page"},{"id":435027,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YVCG6U","text":"USGS data release","linkHelpText":"Molecular Sexing of Birds Using Quantitative PCR (qPCR) of Sex-Linked Genes and Logistic Models"},{"id":426961,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Petrou, Eleni Leto 0000-0001-7811-9288","orcid":"https://orcid.org/0000-0001-7811-9288","contributorId":334653,"corporation":false,"usgs":true,"family":"Petrou","given":"Eleni Leto","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":897207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Laura Celeste 0000-0003-0303-5340","orcid":"https://orcid.org/0000-0003-0303-5340","contributorId":306143,"corporation":false,"usgs":true,"family":"Scott","given":"Laura","email":"","middleInitial":"Celeste","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":897208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mckeeman, Cherie Marie 0000-0001-9868-2502","orcid":"https://orcid.org/0000-0001-9868-2502","contributorId":334651,"corporation":false,"usgs":true,"family":"Mckeeman","given":"Cherie","email":"","middleInitial":"Marie","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":897209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":897210,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263058,"text":"70263058 - 2024 - Unravelling spatial heterogeneity of inundation pattern domains for 2D analysis of fluvial landscapes and drainage networks","interactions":[],"lastModifiedDate":"2025-01-29T15:02:22.323551","indexId":"70263058","displayToPublicDate":"2024-03-04T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Unravelling spatial heterogeneity of inundation pattern domains for 2D analysis of fluvial landscapes and drainage networks","docAbstract":"<p><span>Fluvial landscape analysis is an essential part of geomorphology, hydrology, ecology, and cartography. It is traditionally focused on the transition between hillslopes and channel domain, in which the network drainage is represented by static flow lines. However, the natural fluctuations of the processes occurring in the watershed induce lateral and longitudinal expansions and contractions in the drainage patterns and variations of stream surface area. These dynamics can be better understood by introducing a two-dimensional (2D) view of catchment hydrography, in which river width and floodplain are included in the analysis.</span></p><p><span>The novelty introduced in this work is the development of a&nbsp;<i>hydrodynamic hierarchical framework</i>&nbsp;(HHF) to analyse the transitions among geomorphic and hydrographic features of the fluvial landscape, distinguishing hillslope, unchanneled valleys, floodplains, and single/multithreads channels. HHF is based on the estimation of nested&nbsp;<i>inundation pattern domains</i>&nbsp;(IPDs) from digital elevation models and 2D hydrodynamic modeling. IPDs are defined by scaling laws that characterize log–log relations between watershed drainage density and unit discharge thresholds extracted from a 2D direct rainfall method (DRM) under steady state solutions.</span></p><p><span>The physical significance of the IPDs is analysed within the context of both the physiographic features of the fluvial landscape and the rainfall rates employed as input for the modeling approach. Initially, the spatial heterogeneity of the IPDs is used to derive stream width metrics as a function of the rainfall rate. Then, a spatial index, representative of the IPDs' heterogeneity, is introduced as a measure of the susceptibility of the drainage network surface area to expansion and contraction. Finally, the consistency of the results is assessed in comparison to another hydrodynamic-based method for fluvial landscape analysis recently proposed in the literature.</span></p><p><span>The proposed approach is analysed using challenging mountain and low-relief environments, characterized by multithread channels, meander cut-offs, oxbow lakes, and extreme landscapes that feature glacial outwash, permafrost, and peatlands.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.130728","usgsCitation":"Costabile, P., Costanzo, C., Lombardo, M., Shavers, E.J., and Stanislawski, L., 2024, Unravelling spatial heterogeneity of inundation pattern domains for 2D analysis of fluvial landscapes and drainage networks: Journal of Hydrology, v. 632, 130728, 24, https://doi.org/10.1016/j.jhydrol.2024.130728.","productDescription":"130728, 24","ipdsId":"IP-155522","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science 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\":{\"name\":\"Alaska\",\"nation\":\"USA  \"}}]}","volume":"632","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Costabile, Pierfranco","contributorId":350091,"corporation":false,"usgs":false,"family":"Costabile","given":"Pierfranco","affiliations":[{"id":83681,"text":"University of Calabria","active":true,"usgs":false}],"preferred":false,"id":925350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costanzo, Carmelina","contributorId":350092,"corporation":false,"usgs":false,"family":"Costanzo","given":"Carmelina","affiliations":[{"id":83681,"text":"University of Calabria","active":true,"usgs":false}],"preferred":false,"id":925351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lombardo, Margherita","contributorId":350093,"corporation":false,"usgs":false,"family":"Lombardo","given":"Margherita","affiliations":[{"id":66387,"text":"University of Bari","active":true,"usgs":false}],"preferred":false,"id":925352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":925353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":217849,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":925354,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252589,"text":"70252589 - 2024 - Seasonal and decadal subsurface thaw dynamics of an Aufeis feature investigated through numerical simulations","interactions":[],"lastModifiedDate":"2024-03-29T11:55:55.292733","indexId":"70252589","displayToPublicDate":"2024-03-03T06:54:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and decadal subsurface thaw dynamics of an Aufeis feature investigated through numerical simulations","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Aufeis (also known as icings) are large sheet-like masses of layered ice that form in river channels in arctic environments in the winter as groundwater discharges to the land surface and subsequently freezes. Aufeis are important sources of water for Arctic river ecosystems, bolstering late summer river discharge and providing habitat for caribou escaping insect harassment. The aim of this research is to use numerical simulations to evaluate a conceptual model of subsurface hydrogeothermal conditions that can lead to the formation of aufeis. We used a conceptual model based on geophysical data from the Kuparuk aufeis field on the North Slope of Alaska to develop a two-dimensional heterogeneous vertical profile model of groundwater flow, heat transport, and freeze/thaw dynamics. Modelling results showed that groundwater can flow to the land surface through subvertical high permeability pathways during winter months when the lower permeability soils near the land surface are frozen. The groundwater discharge can freeze on the surface, contributing to aufeis formation throughout the winter. We performed sensitivity analyses on subsurface properties and surface temperature and found that aufeis formation is most sensitive to the volume of unfrozen water available in the subsurface and the rate at which the subsurface water travels to the land surface. Although a trend of warming air temperatures will lead to a greater volume of unfrozen subsurface water, the aufeis volume can be reduced under warming conditions if the period of time for which air temperatures are below freezing is reduced.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.15106","usgsCitation":"Lainis, A., Neupauer, R.M., Koch, J.C., and Gooseff, M., 2024, Seasonal and decadal subsurface thaw dynamics of an Aufeis feature investigated through numerical simulations: Hydrological Processes, v. 38, no. 3, e15106, 16 p., https://doi.org/10.1002/hyp.15106.","productDescription":"e15106, 16 p.","ipdsId":"IP-156354","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":427235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Lainis, Alexi","contributorId":335172,"corporation":false,"usgs":false,"family":"Lainis","given":"Alexi","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":897634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neupauer, Roseanna M.","contributorId":176580,"corporation":false,"usgs":false,"family":"Neupauer","given":"Roseanna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":897635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","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":897636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gooseff, Michael","contributorId":181942,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","affiliations":[],"preferred":false,"id":897637,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251899,"text":"70251899 - 2024 - The post-emergence period for denning polar bears: Phenology and influence on cub survival","interactions":[],"lastModifiedDate":"2024-03-06T12:40:30.031978","indexId":"70251899","displayToPublicDate":"2024-03-02T06:39:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"The post-emergence period for denning polar bears: Phenology and influence on cub survival","docAbstract":"<p class=\"chapter-para\">Among polar bears (<i>Ursus maritimus</i>), only parturient females den for extended periods, emerging from maternal dens in spring after having substantially depleted their energy reserves during a fast that can exceed 8 months. Although den emergence coincides with a period of increasing prey availability, polar bears typically do not depart immediately to hunt, but instead remain at the den for up to a month. This delay suggests that there are likely adaptive advantages to remaining at the den between emergence and departure, but the influence of the timing and duration of this post-emergence period on cub survival has not been evaluated previously. We used temperature and location data from 70 denning bears collared within the Southern Beaufort Sea and Chukchi Sea subpopulations to estimate the phenology of the post-emergence period. We evaluated the influence of various spatial and temporal features on duration of the post-emergence period and evaluated the potential influence of post-emergence duration on litter survival early in the spring following denning. For dens that likely contained viable cubs at emergence (<i>n</i><span>&nbsp;</span>= 56), mean den emergence occurred on 16 March (SE = 1.4 days) and mean departure on 24 March (SE = 1.6 days), with dates typically occurring later in the Chukchi Sea relative to Southern Beaufort Sea and on land relative to sea ice. Mean duration of the post-emergence period was 7.9 days (SE = 1.4) for bears that were observed with cubs later in the spring, which was over 4 times longer than duration of those observed without cubs (1.9 days). Litter survival in the spring following denning (<i>n</i><span>&nbsp;</span>= 31 dens) increased from 0.5 to 0.9 when duration of the post-emergence period increased by ~4 days and other variables were held at mean values. Our limited sample size and inability to verify cub presence at emergence suggests that future research is merited to improve our understanding of this relationship. Nonetheless, our results highlight the importance of the post-emergence period in contributing to reproductive success and can assist managers in developing conservation and mitigation strategies in denning areas, which will be increasingly important as human activities expand in the Arctic.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyae010","usgsCitation":"Andersen, E., Wilson, R., Rode, K.D., Durner, G.M., Atwood, T.C., and Gustine, D., 2024, The post-emergence period for denning polar bears: Phenology and influence on cub survival: Journal of Mammalogy, gyae010, 12 p., https://doi.org/10.1093/jmammal/gyae010.","productDescription":"gyae010, 12 p.","ipdsId":"IP-149193","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440246,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyae010","text":"Publisher Index Page"},{"id":435028,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G73BTD","text":"USGS data release","linkHelpText":"Estimated Post-Emergence Period for Denning Polar Bears of the Chukchi and Beaufort Seas"},{"id":426357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Erik","contributorId":334600,"corporation":false,"usgs":false,"family":"Andersen","given":"Erik","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":896013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Ryan R. ","contributorId":222456,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan R. ","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":896014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":896015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","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":896016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":896017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":896018,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252136,"text":"70252136 - 2024 - Brief communication: Recent estimates of glacier mass loss for western North America from laser altimetry","interactions":[],"lastModifiedDate":"2025-01-16T21:12:54.08479","indexId":"70252136","displayToPublicDate":"2024-02-27T09:33:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Brief communication: Recent estimates of glacier mass loss for western North America from laser altimetry","docAbstract":"<p><span>Glaciers in western North American outside of Alaska are often overlooked in global studies because their potential to contribute to changes in sea level is small. Nonetheless, these glaciers represent important sources of freshwater, especially during times of drought. Differencing recent ICESat-2 data from a digital elevation model derived from a combination of synthetic aperture radar data (TerraSAR-X/TanDEM-X), we find that over the period 2013–2020, glaciers in western North America lost mass at a rate of -12.3 </span><span> ± 3.5 Gt yr</span><span class=\"inline-formula\"><sup>−1</sup></span><span>. This rate is comparable to the rate of mass loss (-11.7 ± 1.0</span><span> Gt yr</span><span class=\"inline-formula\"><sup>−1</sup></span><span>) for the period 2018–2022 calculated through trend analysis using ICESat-2 and Global Ecosystems Dynamics Investigation (GEDI) data.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-18-889-2024","usgsCitation":"Menounos, B., Gardner, A., Florentine, C., and Fountain, A., 2024, Brief communication: Recent estimates of glacier mass loss for western North America from laser altimetry: The Cryosphere, v. 18, no. 2, p. 889-894, https://doi.org/10.5194/tc-18-889-2024.","productDescription":"6 p.","startPage":"889","endPage":"894","ipdsId":"IP-158375","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":440285,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-18-889-2024","text":"Publisher Index Page"},{"id":426665,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"western North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.84375306887944,\n              35.77625603152046\n            ],\n            [\n              -104.12455729393525,\n              37.79434503358385\n            ],\n            [\n              -109.27603690198475,\n              50.31414964400753\n            ],\n            [\n              -127.03183614912706,\n              65.04677641859246\n            ],\n            [\n              -134.85471715128634,\n              65.87524390993823\n            ],\n            [\n              -137.79246375218807,\n              59.017734626913665\n            ],\n            [\n              -133.23078321077972,\n              52.789216057460294\n            ],\n            [\n              -125.43702158084562,\n              47.89598278955353\n            ],\n            [\n              -122.93229214268086,\n              41.15784268873253\n            ],\n            [\n              -119.39681142809803,\n              35.854881720423364\n            ],\n            [\n              -117.84375306887944,\n              35.77625603152046\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Menounos, Brian","contributorId":225514,"corporation":false,"usgs":false,"family":"Menounos","given":"Brian","email":"","affiliations":[{"id":41154,"text":"Geography Program and Natural Resources and Environmental Studies Institute, University of Northern British Columbia","active":true,"usgs":false}],"preferred":false,"id":896708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Alex","contributorId":24274,"corporation":false,"usgs":true,"family":"Gardner","given":"Alex","email":"","affiliations":[],"preferred":false,"id":896709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":896710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fountain, Andrew","contributorId":334864,"corporation":false,"usgs":false,"family":"Fountain","given":"Andrew","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":896711,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251813,"text":"70251813 - 2024 - Ursids evolved dietary diversity without major alterations in metabolic rates","interactions":[],"lastModifiedDate":"2024-02-29T14:14:25.620009","indexId":"70251813","displayToPublicDate":"2024-02-27T08:11:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Ursids evolved dietary diversity without major alterations in metabolic rates","docAbstract":"<p><span>The diets of the eight species of ursids range from carnivory (e.g., polar bears,&nbsp;</span><i>Ursus maritimus</i><span>) to insectivory (e.g., sloth bears,&nbsp;</span><i>Melursus ursinus</i><span>), omnivory (e.g., brown bears,&nbsp;</span><i>U. arctos</i><span>), and herbivory (e.g., giant pandas,&nbsp;</span><i>Ailuropoda melanoleuca</i><span>). Dietary energy availability ranges from the high-fat, highly digestible, calorically dense diet of polar bears (~ 6.4&nbsp;kcal digestible energy/g fresh weight) to the high-fiber, poorly digestible, calorically restricted diet (~ 0.7) of giant pandas. Thus, ursids provide the opportunity to examine the extent to which dietary energy drives evolution of energy metabolism in a closely related group of animals. We measured the daily energy expenditure (DEE) of captive brown bears in a relatively large, zoo-type enclosure and compared those values to previously published results on captive brown bears, captive and free-ranging polar bears, and captive and free-ranging giant pandas. We found that all three species have similar mass-specific DEE when travel distances and energy intake are normalized even though their diets differ dramatically and phylogenetic lineages are separated by millions of years. For giant pandas, the ability to engage in low-cost stationary foraging relative to more wide-ranging bears likely provided the necessary energy savings to become bamboo specialists without greatly altering their metabolic rate.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-55549-w","usgsCitation":"Carnahan, A.M., Pagano, A.M., Christian, A.L., Rode, K.D., and Robbins, C.T., 2024, Ursids evolved dietary diversity without major alterations in metabolic rates: Scientific Reports, v. 14, 4751, 8 p., https://doi.org/10.1038/s41598-024-55549-w.","productDescription":"4751, 8 p.","ipdsId":"IP-160260","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-55549-w","text":"Publisher Index Page"},{"id":426125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2024-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Carnahan, Anthony M.","contributorId":207641,"corporation":false,"usgs":false,"family":"Carnahan","given":"Anthony","email":"","middleInitial":"M.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":895653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":895654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christian, Amelia L.","contributorId":334446,"corporation":false,"usgs":false,"family":"Christian","given":"Amelia","email":"","middleInitial":"L.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":895655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":895656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robbins, Charles T.","contributorId":32436,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":895657,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251828,"text":"70251828 - 2024 - Geese migrating over the Pacific Ocean select altitudes coinciding with offshore wind turbine blades","interactions":[],"lastModifiedDate":"2024-05-20T15:25:06.169475","indexId":"70251828","displayToPublicDate":"2024-02-27T07:02:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Geese migrating over the Pacific Ocean select altitudes coinciding with offshore wind turbine blades","docAbstract":"<ol class=\"\"><li>Renewable energy facilities are a key part of mitigating climate change, but can pose threats to wild birds and bats, most often through collisions with infrastructure. Understanding collision risk and the factors affecting it can help minimize impacts on wild populations. For wind turbines, flight altitude is a major factor influencing collision risk, and altitude-selection analyses can evaluate when and why animals fly at certain altitudes under certain conditions.</li><li>We used GPS tags to track Pacific Flyway geese (Pacific greater white-fronted goose, tule greater white-fronted goose and lesser snow goose) on transoceanic migrations between Alaska and the Pacific Coast of the contiguous United States, an area where offshore windfarm development is beginning. We evaluated how geographic and environmental covariates affected (1) whether birds were at rest on the water versus in flight (binomial model) and (2) altitude selection when in flight (similar to a step-selection framework). We then used a Monte Carlo simulation to predict the probability of flying at each altitude under various conditions, considering both the fly/rest decision and altitude selection.</li><li>In both spring and fall, geese showed strong selection for altitudes within the expected rotor-swept zone (20–200 m asl), with 56% of locations expected to be within the rotor-swept zone under mean daylight conditions and 28% at night. This indicates a high possibility that migrating geese may be at risk of collision when passing through windfarms. Although there was some variation across subspecies, geese were most likely to be within the rotor-swept zone with little wind or light tailwinds, low clouds, little to no precipitation and moderate to cool air temperatures. Geese were unlikely to be in the rotor-swept zone at night, when most individuals were at rest on the water.</li><li><i>Synthesis and applications</i>. These results could be used to inform windfarm management, including decisions to shut down turbines when collision risk is high. The altitude-selection framework we demonstrate could facilitate further study of other bird species to develop a holistic view of how windfarms in this area could affect the migratory bird community as a whole.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14612","usgsCitation":"Weiser, E.L., Overton, C.T., Douglas, D.C., Casazza, M.L., and Flint, P.L., 2024, Geese migrating over the Pacific Ocean select altitudes coinciding with offshore wind turbine blades: Journal of Applied Ecology, v. 61, no. 5, p. 951-962, https://doi.org/10.1111/1365-2664.14612.","productDescription":"12 p.","startPage":"951","endPage":"962","ipdsId":"IP-156883","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":486320,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13DPZGS","text":"USGS data release","linkHelpText":"Movements of Black Brant Tagged While Molting in the National Petroleum Reserve - Alaska"},{"id":440291,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14612","text":"Publisher Index Page"},{"id":435032,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P17VOLEY","text":"USGS data release","linkHelpText":"Scripts to Analyze Altitude Selection in Migrating Pacific Flyway Geese"},{"id":435031,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VUN0Q9","text":"USGS data release","linkHelpText":"Movement Data for Migrating Geese Over the Northeast Pacific Ocean, 2018-2021"},{"id":426170,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":206605,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":895757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":895758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":895759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":895760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":895761,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259652,"text":"70259652 - 2024 - Geophysical constraints on continental rejuvenation in central China: Implications for outward growth of the Tibetan Plateau","interactions":[],"lastModifiedDate":"2024-10-18T11:49:06.187515","indexId":"70259652","displayToPublicDate":"2024-02-21T06:46:20","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":"Geophysical constraints on continental rejuvenation in central China: Implications for outward growth of the Tibetan Plateau","docAbstract":"<div class=\"\"><div id=\"146257171\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Continental rejuvenation results from the tectonic reactivation of crustal structures and lithospheric reworking by mantle flow. Geochemical observations and field mapping have traditionally provided the primary evidence for the secular evolution of crustal composition and tectonic processes during continental rejuvenation. Nonetheless, the impact of continental rejuvenation on the observed present-day strain rate and orogenic-scale lithospheric structure has not been well constrained. The pre-existing E-W–trending Central China Orogenic Belt has been overprinted by the N-S–trending Central Longitudinal Seismic Belt and constitutes the intracontinental West Qinling Syntaxis in central China, where the tectonic setting changes eastward from contraction to extension. Combining updated global positioning system data and high-resolution crustal seismic tomography, we reveal a modern continental rejuvenation process within the West Qinling Syntaxis in central China. The northward extrusion of the Tibetan Plateau's weak lithospheric layer (middle-lower crust and lithospheric mantle) of southwestern China relative to the rigid Sichuan Basin/Ordos Block of the eastern West Qinling Syntaxis results in regional dextral shearing that shapes the Central Longitudinal Seismic Belt and defines the eastern Tibetan Plateau margin. The pre-existing E-W–trending Central China Orogenic Belt has been preserved above the brittle-ductile transition zone, and the northward movement of the deep lithospheric layer drives the deformation of the upper crust in the West Qinling Syntaxis. Our results, along with previous studies, suggest the presence of an intracontinental lithospheric interchange structure in central China. The continental rejuvenation of the West Qinling Syntaxis results from a combination of fault reactivation in the upper crust (Stage I, Eocene–Oligocene) and reworking of the deep lithosphere (Stage II, middle–late Miocene) related to the plateau-wide shift in stress accommodation ultimately driven by the redistribution of mass outward from the central Tibetan Plateau. At present, the transition zone between the high- and low-velocity anomalies along the Central Longitudinal Seismic Belt not only shapes the landscape boundary but controls the size and recurrence interval of earthquakes within the West Qinling Syntaxis in central China.</p></div></div><div id=\"articlefulltext_figshare\" class=\"figshare-wrapper hascontent\" data-widgetname=\"filesViewerGeneric\" data-showstats=\"True\" data-showpageinfo=\"False\" data-showsharebutton=\"True\" data-showfiledetails=\"False\" data-loaddoisbycollection=\"False\"><br></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37220.1","usgsCitation":"Zhang, Y., Zhang, P., Lease, R.O., Li, M., Zhou, R., Xu, B., Chen, S., Shen, X., Zheng, W., He, X., Wang, W., and Wang, Y., 2024, Geophysical constraints on continental rejuvenation in central China: Implications for outward growth of the Tibetan Plateau: GSA Bulletin, v. 136, no. 9-10, p. 3690-3704, https://doi.org/10.1130/B37220.1.","productDescription":"15 p.","startPage":"3690","endPage":"3704","ipdsId":"IP-148841","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":467029,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/gsab.s.24962433","text":"External Repository"},{"id":462991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"136","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2024-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Yi-Peng","contributorId":345251,"corporation":false,"usgs":false,"family":"Zhang","given":"Yi-Peng","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":916143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Pei-Zhen","contributorId":345252,"corporation":false,"usgs":false,"family":"Zhang","given":"Pei-Zhen","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":916144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":916145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Min-Juan","contributorId":345256,"corporation":false,"usgs":false,"family":"Li","given":"Min-Juan","email":"","affiliations":[{"id":82532,"text":"Gansu Earthquake Agency","active":true,"usgs":false}],"preferred":false,"id":916146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhou, Renjie","contributorId":345258,"corporation":false,"usgs":false,"family":"Zhou","given":"Renjie","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":916147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, Bin-Bin","contributorId":345259,"corporation":false,"usgs":false,"family":"Xu","given":"Bin-Bin","email":"","affiliations":[{"id":82535,"text":"Guangdong Earthquake Agency","active":true,"usgs":false}],"preferred":false,"id":916148,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Si-Yuan","contributorId":345260,"corporation":false,"usgs":false,"family":"Chen","given":"Si-Yuan","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":916149,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shen, Xu-Zhang","contributorId":345261,"corporation":false,"usgs":false,"family":"Shen","given":"Xu-Zhang","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":916150,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zheng, Wen-Jun","contributorId":345262,"corporation":false,"usgs":false,"family":"Zheng","given":"Wen-Jun","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":916151,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"He, Xiao-Hui","contributorId":345263,"corporation":false,"usgs":false,"family":"He","given":"Xiao-Hui","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":916152,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wang, Wei-Tao","contributorId":345264,"corporation":false,"usgs":false,"family":"Wang","given":"Wei-Tao","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":916153,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wang, Yue-Jun","contributorId":345265,"corporation":false,"usgs":false,"family":"Wang","given":"Yue-Jun","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":916154,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70251545,"text":"70251545 - 2024 - A systematic review of the effects of climate variability and change on black and brown bear ecology and interactions with humans","interactions":[],"lastModifiedDate":"2024-03-25T22:47:45.070206","indexId":"70251545","displayToPublicDate":"2024-02-14T06:43:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A systematic review of the effects of climate variability and change on black and brown bear ecology and interactions with humans","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0030\">Climate change poses a pervasive threat to humans and wildlife by altering resource availability, changing co-occurrences, and directly or indirectly influencing human-wildlife interactions. For many wildlife agencies in North America, managing bears (<i>Ursus</i><span>&nbsp;</span>spp.) and human-bear interactions is a priority, yet the direct and indirect effects of climate change are exacerbating management challenges. Understanding the underlying ecological drivers of bear responses to climate variability and change, and the implications for conflict, will be critical for maintaining human-bear coexistence in North America. We synthesized 120 articles that identified direct and indirect mechanisms by which climate variability and change affect brown bears (<i>Ursus arctos</i>) and American black bears (<i>Ursus americanus</i>) in North America. The literature focused on examining climate impacts on bear diet, body size, habitat selection, space use, activity, denning chronology, and population demographics and dynamics. Across these categories, we summarized the documented and projected bear responses and resulting implications for human-bear interactions. Climate-driven changes in natural food availability were frequently implicated in influencing bear behavior and demography, and creating conditions under which interactions with humans are likely to increase. Bears in North America may face increased challenges as habitat and natural food availability continue to be altered by climate change. Our review provides a foundation upon which to identify climate drivers of bear ecology, conditions conducive to human-bear interactions, and adaptive management strategies. Given substantial evidence of climate impacts to bears, incorporating climate considerations into bear management can help managers strategically allocate resources and promote human-bear coexistence.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110500","usgsCitation":"Kurth, K.A., Malpeli, K., Clark, J.D., Johnson, H.E., and van Manen, F.T., 2024, A systematic review of the effects of climate variability and change on black and brown bear ecology and interactions with humans: Biological Conservation, v. 291, 110500, 13 p., https://doi.org/10.1016/j.biocon.2024.110500.","productDescription":"110500, 13 p.","ipdsId":"IP-157662","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":440421,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110500","text":"Publisher Index Page"},{"id":425692,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"291","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kurth, Katherine Anne 0000-0002-6883-8307","orcid":"https://orcid.org/0000-0002-6883-8307","contributorId":334177,"corporation":false,"usgs":true,"family":"Kurth","given":"Katherine","email":"","middleInitial":"Anne","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":894867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malpeli, Kate 0000-0003-0780-918X","orcid":"https://orcid.org/0000-0003-0780-918X","contributorId":217755,"corporation":false,"usgs":true,"family":"Malpeli","given":"Kate","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":894868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":894869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"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":894870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":894871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251447,"text":"70251447 - 2024 - Polar bear energetic and behavioral strategies on land with implications for surviving the ice-free period","interactions":[],"lastModifiedDate":"2024-02-13T19:15:43.868845","indexId":"70251447","displayToPublicDate":"2024-02-13T11:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Polar bear energetic and behavioral strategies on land with implications for surviving the ice-free period","docAbstract":"<p><span>Declining Arctic sea ice is increasing polar bear land use. Polar bears on land are thought to minimize activity to conserve energy. Here, we measure the daily energy expenditure (DEE), diet, behavior, movement, and body composition changes of 20 different polar bears on land over 19–23 days from August to September (2019–2022) in Manitoba, Canada. Polar bears on land exhibited a 5.2-fold range in DEE and 19-fold range in activity, from hibernation-like DEEs to levels approaching active bears on the sea ice, including three individuals that made energetically demanding swims totaling 54–175 km. Bears consumed berries, vegetation, birds, bones, antlers, seal, and beluga. Beyond compensating for elevated DEE, there was little benefit from terrestrial foraging toward prolonging the predicted time to starvation, as 19 of 20 bears lost mass (0.4–1.7 kg•day</span><sup>−1</sup><span>). Although polar bears on land exhibit remarkable behavioral plasticity, our findings reinforce the risk of starvation, particularly in subadults, with forecasted increases in the onshore period.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-44682-1","usgsCitation":"Pagano, A.M., Rode, K.D., Lunn, N.J., McGeachy, D., Atkinson, S.N., Farley, S.D., Erlenbach, J., and Robbins, C.T., 2024, Polar bear energetic and behavioral strategies on land with implications for surviving the ice-free period: Nature Communications, v. 15, 947, 15 p., https://doi.org/10.1038/s41467-023-44682-1.","productDescription":"947, 15 p.","ipdsId":"IP-155899","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440425,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-44682-1","text":"Publisher Index Page"},{"id":425573,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Manitoba","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.8168742320063,\n              60.38318456710692\n            ],\n            [\n              -95.8168742320063,\n              56.61419709748603\n            ],\n            [\n              -88.99656081599208,\n              56.61419709748603\n            ],\n            [\n              -88.99656081599208,\n              60.38318456710692\n            ],\n            [\n              -95.8168742320063,\n              60.38318456710692\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2024-02-13","publicationStatus":"PW","contributors":{"authors":[{"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":894594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":894595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lunn, Nicholas J. 0000-0003-0189-5494","orcid":"https://orcid.org/0000-0003-0189-5494","contributorId":312476,"corporation":false,"usgs":false,"family":"Lunn","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":894596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGeachy, David 0000-0003-1958-5363","orcid":"https://orcid.org/0000-0003-1958-5363","contributorId":332301,"corporation":false,"usgs":false,"family":"McGeachy","given":"David","email":"","affiliations":[],"preferred":false,"id":894597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atkinson, Stephen N.","contributorId":12365,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":894598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farley, Sean D.","contributorId":27642,"corporation":false,"usgs":false,"family":"Farley","given":"Sean","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":894599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erlenbach, Joy A.","contributorId":334042,"corporation":false,"usgs":false,"family":"Erlenbach","given":"Joy A.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":894600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robbins, Charles T.","contributorId":32436,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":894601,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251443,"text":"70251443 - 2024 - Rayleigh step-selection functions and connections to continuous-time mechanistic movement models","interactions":[],"lastModifiedDate":"2024-02-10T14:10:15.47688","indexId":"70251443","displayToPublicDate":"2024-02-08T08:08:20","publicationYear":"2024","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":"Rayleigh step-selection functions and connections to continuous-time mechanistic movement models","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>The process known as ecological diffusion emerges from a first principles view of animal movement, but ecological diffusion and other partial differential equation models can be difficult to fit to data. Step-selection functions (SSFs), on the other hand, have emerged as powerful practical tools for ecologists studying the movement and habitat selection of animals.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>SSFs typically involve comparing resources between a set of used and available points at each step in a sequence of observed positions. We use change of variables to show that ecological diffusion implies certain distributions for available steps that are more flexible than others commonly used. We then demonstrate advantages of these distributions with SSF models fit to data collected for a mountain lion in Colorado, USA.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>We show that connections between ecological diffusion and SSFs imply a Rayleigh step-length distribution and uniform turning angle distribution, which can accommodate data collected at irregular time intervals. The results of fitting an SSF model with these distributions compared to a set of commonly used distributions revealed how precision and inference can vary between the two approaches.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Our new continuous-time step-length distribution can be integrated into various forms of SSFs, making them applicable to data sets with irregular time intervals between successive animal locations.</p>","language":"English","publisher":"Springer","doi":"10.1186/s40462-023-00442-w","usgsCitation":"Eisaguirre, J.M., Williams, P.J., and Hooten, M.B., 2024, Rayleigh step-selection functions and connections to continuous-time mechanistic movement models: Movement Ecology, v. 12, 14, 8 p., https://doi.org/10.1186/s40462-023-00442-w.","productDescription":"14, 8 p.","ipdsId":"IP-150225","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00442-w","text":"Publisher Index Page"},{"id":425569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":894590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":894591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin B. 0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":292295,"corporation":false,"usgs":false,"family":"Hooten","given":"Mevin","email":"","middleInitial":"B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":894592,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251378,"text":"70251378 - 2024 - Long-term storage at -20°C compromises fatty acid composition of polar bear adipose biopsies","interactions":[],"lastModifiedDate":"2024-02-08T13:21:10.741505","indexId":"70251378","displayToPublicDate":"2024-02-08T07:19:12","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":"Long-term storage at -20°C compromises fatty acid composition of polar bear adipose biopsies","docAbstract":"<p class=\"abstract_block\">This study aimed to gain insight into the influence of storage time and temperature on fatty acid (FA) signatures of biopsies of marine mammal adipose/blubber tissues. To examine storage effects, biopsy-type slices from larger pieces of adipose tissues from 2 polar bears<span>&nbsp;</span><i>Ursus maritimus</i><span>&nbsp;</span>were stored at either -20 or -80°C and subsequently analyzed for fatty acid composition initially (before storage), after 4 yr, and after 9 yr. At -20°C, after both 4 and 9 yr, proportions of polyunsaturated FAs significantly decreased, and proportions of monounsaturated FAs increased. Proportions of saturated FAs significantly increased only after 9 yr at -20°C in samples of 1 individual. After 4 and 9 yr of storage at -80°C, proportions of the 3 FA classes did not significantly change overall. Intra-individual differences in FA proportions increased over time in -20°C conditions, further pointing to biases stemming from inadequate storage conditions. These findings support the need to store biopsied fatty tissues (or other similarly thin and/or small adipose/blubber samples) at or below -80°C to adequately preserve FA signatures in samples over time for retrospective applications such as dietary studies.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps14501","usgsCitation":"Lacombe, R., Atwood, T.C., Peacock, E., Remili, A., Dietz, R., Sonne, C., and McKinney, M., 2024, Long-term storage at -20°C compromises fatty acid composition of polar bear adipose biopsies: Marine Ecology Progress Series, v. 728, p. 75-80, https://doi.org/10.3354/meps14501.","productDescription":"6 p.","startPage":"75","endPage":"80","ipdsId":"IP-157478","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":425508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"728","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Lacombe, Rose","contributorId":333929,"corporation":false,"usgs":false,"family":"Lacombe","given":"Rose","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":894327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":894328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peacock, Elizabeth 0000-0002-8482-7843","orcid":"https://orcid.org/0000-0002-8482-7843","contributorId":207644,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":894409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Remili, Anais","contributorId":333930,"corporation":false,"usgs":false,"family":"Remili","given":"Anais","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":894329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietz, Rune","contributorId":191799,"corporation":false,"usgs":false,"family":"Dietz","given":"Rune","email":"","affiliations":[],"preferred":false,"id":894330,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sonne, Christian","contributorId":218344,"corporation":false,"usgs":false,"family":"Sonne","given":"Christian","email":"","affiliations":[{"id":39808,"text":"Aarhus University, Arctic Research Centre (ARC), Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":894331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKinney, Melissa","contributorId":222146,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":894332,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251350,"text":"ofr20241008 - 2024 - Approaches for using CMIP projections in climate model ensembles to address the ‘hot model’ problem","interactions":[],"lastModifiedDate":"2024-02-08T00:56:03.166598","indexId":"ofr20241008","displayToPublicDate":"2024-02-07T11:05:00","publicationYear":"2024","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":"2024-1008","displayTitle":"Approaches for Using CMIP Projections in Climate Model Ensembles to Address the ‘Hot Model’ Problem","title":"Approaches for using CMIP projections in climate model ensembles to address the ‘hot model’ problem","docAbstract":"<p>Several recent generation global-climate models were found to have anomalously high climate sensitivities and may not be useful for certain applications. Four approaches for developing ensembles of climate projections for applications that address this issue are:</p><ol><li>Using an “all models” approach;</li><li>Screening using equilibrium climate sensitivity and (or) transient climate response;</li><li>Bayesian model averaging; and</li><li>Using global warming levels.</li></ol><p>Advantages and disadvantages of each approach are described by using example applications to study the effects of climate change on an imaginary at-risk species. Choosing the right approach is dependent on the location, goals, and system focus of each application and the risk-tolerance and resource-management context.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241008","collaboration":"Prepared in cooperation with the University of Colorado and the University of Oklahoma","usgsCitation":"Boyles, R., Nikiel, C.A., Miller, B.W., Littell, J., Terando, A.J., Rangwala, I., Alder, J.R., Rosendahl, D.H., and Wootten, A.M., 2024, Approaches for using CMIP projections in climate model ensembles to address the ‘hot model’ problem: U.S. Geological Survey Open-File Report 2024–1008, 14 p., https://doi.org/10.3133/ofr20241008","productDescription":"v, 14 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151266","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true},{"id":49928,"text":"South Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":425438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1008/coverthb.jpg"},{"id":425439,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1008/ofr20241008.pdf","text":"Report","size":"820 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1008"},{"id":425440,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1008/images/"},{"id":425441,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241008/full"},{"id":425442,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1008/ofr20241008.XML"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/climate-adaptation-science-centers/southeast-casc\" data-mce-href=\"https://www.usgs.gov/programs/climate-adaptation-science-centers/southeast-casc\">Southeast Climate Adaptation Science Center</a><br>U.S. Geological Survey<br>100 Brooks Ave.<br>Raleigh, NC 27607</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"https://pubs.er.usgs.gov/contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Approaches for GCM Selection and Weighting</li><li>Example: The Golden-billed Raptor</li><li>Conclusion</li><li>References Cited</li><li>Glossary</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-02-07","noUsgsAuthors":false,"publicationDate":"2024-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Boyles, Ryan 0000-0001-9272-867X","orcid":"https://orcid.org/0000-0001-9272-867X","contributorId":221983,"corporation":false,"usgs":true,"family":"Boyles","given":"Ryan","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":894200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nikiel, Catherine A. 0000-0001-9785-7497","orcid":"https://orcid.org/0000-0001-9785-7497","contributorId":300807,"corporation":false,"usgs":false,"family":"Nikiel","given":"Catherine","email":"","middleInitial":"A.","affiliations":[{"id":30773,"text":"Oak Ridge Institute for Science and Education","active":true,"usgs":false}],"preferred":false,"id":894201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":894202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":894203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terando, Adam J. 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":216875,"corporation":false,"usgs":true,"family":"Terando","given":"Adam J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":894204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rangwala, Imtiaz 0000-0002-4313-9374","orcid":"https://orcid.org/0000-0002-4313-9374","contributorId":148973,"corporation":false,"usgs":false,"family":"Rangwala","given":"Imtiaz","email":"","affiliations":[{"id":34534,"text":"Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado","active":true,"usgs":false}],"preferred":true,"id":894205,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":894206,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosendahl, Derek H.","contributorId":333876,"corporation":false,"usgs":false,"family":"Rosendahl","given":"Derek","email":"","middleInitial":"H.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":894207,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wootten, Adrienne M. 0000-0001-6004-5823","orcid":"https://orcid.org/0000-0001-6004-5823","contributorId":270141,"corporation":false,"usgs":false,"family":"Wootten","given":"Adrienne","email":"","middleInitial":"M.","affiliations":[{"id":49928,"text":"South Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":894208,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70251498,"text":"70251498 - 2024 - Contrasting migratory chronology and routes of Lesser Scaup: Implications of different migration strategies in a broadly distributed species","interactions":[],"lastModifiedDate":"2024-02-14T12:59:57.713694","indexId":"70251498","displayToPublicDate":"2024-02-02T06:58:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting migratory chronology and routes of Lesser Scaup: Implications of different migration strategies in a broadly distributed species","docAbstract":"<p>Migration allows birds to improve fitness by exploiting seasonal resource peaks and avoiding limitations. Migration strategies may differ among individuals within a species, but for all strategies, the benefit of increased fitness should outweigh the costs of migration. These costs can include increased mortality risk, time constraints in the annual cycle, and metabolic energy loss. We compared migratory chronology and routes of individuals from a broadly distributed species of waterfowl, the Lesser Scaup (<i>Aythya affinis</i>; hereafter Scaup), marked at the northern (66.51000° N, 145.98556° W) and southern (44.63778° N, 111.73694° W) extents of its breeding distribution in North America. Scaup breeding farther north in interior Alaska, USA migrated greater distances and had protracted migrations, especially in fall, compared to Scaup breeding farther south in southwest Montana, USA. During migration, Scaup breeding in Alaska used more staging and stopover areas compared to Scaup breeding in Montana. Scaup breeding in Alaska also spent less time at their breeding area and more time at their wintering areas compared to Scaup breeding in Montana. In addition, Scaup breeding in Alaska were largely absent from wintering areas in the Intermountain West that were used by Scaup breeding in Montana. These differences could have important effects on Scaup fitness and could contribute to differences in fecundity and recruitment observed across the Scaup’s broad latitudinal distribution. Understanding the fitness implications of intraspecific variation in migration strategies of broadly distributed species can assist resource managers by focusing conservation efforts on specific breeding populations, informing models of disease transmission, and improving projections of species’ responses to environmental change.</p>","language":"English","publisher":"Journal of Field Ornithology","doi":"10.5751/JFO-00402-950108","usgsCitation":"Hall, L.A., Latty, C.J., Warren, J.M., Takekawa, J., and De La Cruz, S.E., 2024, Contrasting migratory chronology and routes of Lesser Scaup: Implications of different migration strategies in a broadly distributed species: Journal of Field Ornithology, v. 95, no. 1, 8, 19 p., https://doi.org/10.5751/JFO-00402-950108.","productDescription":"8, 19 p.","ipdsId":"IP-141647","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440534,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/jfo-00402-950108","text":"Publisher Index Page"},{"id":435049,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QERTWN","text":"USGS data release","linkHelpText":"Tracking Data for Lesser Scaup (Aythya affinis)"},{"id":425647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Laurie Anne 0000-0001-5822-649X","orcid":"https://orcid.org/0000-0001-5822-649X","contributorId":243313,"corporation":false,"usgs":true,"family":"Hall","given":"Laurie","email":"","middleInitial":"Anne","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":894737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latty, Christopher J.","contributorId":146588,"corporation":false,"usgs":false,"family":"Latty","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":894738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warren, Jeffrey M.","contributorId":266135,"corporation":false,"usgs":false,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":54925,"text":"Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA","active":true,"usgs":false}],"preferred":false,"id":894739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":894740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":894741,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250961,"text":"ofr20231099 - 2024 - Satellite interferometry landslide detection and preliminary tsunamigenic plausibility assessment in Prince William Sound, southcentral Alaska","interactions":[],"lastModifiedDate":"2026-01-28T17:56:35.524595","indexId":"ofr20231099","displayToPublicDate":"2024-01-24T12:45:00","publicationYear":"2024","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":"2023-1099","displayTitle":"Satellite Interferometry Landslide Detection and Preliminary Tsunamigenic Plausibility Assessment in Prince William Sound, Southcentral Alaska","title":"Satellite interferometry landslide detection and preliminary tsunamigenic plausibility assessment in Prince William Sound, southcentral Alaska","docAbstract":"<p>Regional mapping of actively deforming landslides, including measurements of landslide velocity, is integral for hazard assessments in paraglacial environments. These inventories are also critical for describing the potential impacts that the warming effects of climate change have on slope instability in mountainous and cryospheric terrain. The objective of this study is to identify slow-moving landslides in the Prince William Sound region, southcentral Alaska, United States, which has had rapid deglaciation since the mid-1800s, and assess their tsunamigenic plausibility. We use an automated time series persistent scatterer interferometric synthetic aperture radar processing method with 7 years of Sentinel-1 data (2016–22) to identify 43 slow-moving slopes with average velocities ranging from approximately 0.2 to 21 millimeters per year. Landslide presence is confirmed using aerial imagery and previous landslide inventory records. We assess the tsunamigenic plausibility of the landslides using empirically derived estimates of landslide mobility based on modeled landslide volumes. Of the identified landslides, our preliminary analysis suggests that 11 have tsunamigenic potential if they were to fail rapidly and catastrophically. Although our estimate of tsunamigenic plausibility is preliminary and can be refined with additional observations and analyses, it can be used to prioritize ongoing and future hazard assessment, surveillance, and research efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231099","collaboration":"Prepared in collaboration with Southern Methodist University","programNote":"Landslide Hazards Program","usgsCitation":"Schaefer, L.N., Kim, J., Staley, D.M., Lu, Z., and Barnhart, K.R., 2024, Satellite interferometry landslide detection and preliminary tsunamigenic plausibility assessment in Prince William Sound, southcentral Alaska: U.S. Geological Survey Open-File Report 2023–1099, 22 p., https://doi.org/10.3133/ofr20231099.","productDescription":"v, 22 p.","onlineOnly":"Y","ipdsId":"IP-155368","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499202,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115975.htm","linkFileType":{"id":5,"text":"html"}},{"id":424451,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1099/coverthb.jpg"},{"id":424866,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1099/ofr20231099.xml"},{"id":424865,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1099/images"},{"id":424452,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1099/ofr20231099.pdf","text":"Report","size":"11.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1099"},{"id":424970,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231099/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1099"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.54873591535403,\n              61.68671968753719\n            ],\n            [\n              -149.54873591535403,\n              59.52701043286805\n            ],\n            [\n              -143.89688082106878,\n              59.52701043286805\n            ],\n            [\n              -143.89688082106878,\n              61.68671968753719\n            ],\n            [\n              -149.54873591535403,\n              61.68671968753719\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geologic-hazards-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/geologic-hazards-science-center/\">Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 966<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methodology </li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Tsunami Plausibility for Various Landslide Volume Methods</li></ul>","publishedDate":"2024-01-24","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":892463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Jinwook","contributorId":53416,"corporation":false,"usgs":false,"family":"Kim","given":"Jinwook","email":"","affiliations":[],"preferred":false,"id":892464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":892465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Zhong","contributorId":202550,"corporation":false,"usgs":false,"family":"Lu","given":"Zhong","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":892466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":892467,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251170,"text":"70251170 - 2024 - Identifying indicators of polar bear population status","interactions":[],"lastModifiedDate":"2024-01-25T13:05:16.278419","indexId":"70251170","displayToPublicDate":"2024-01-24T07:04:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Identifying indicators of polar bear population status","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">Monitoring trends in large mammal populations is a fundamental component of wildlife management and conservation. However, direct estimates of population size and vital rates of large mammals can be logistically challenging and expensive. Indicators that reflect trends in abundance, therefore, can be valuable tools for supporting population monitoring. Polar bears have a relatively simple life history such that a few key variables may be effective indicators for tracking changes in body condition and recruitment that affect abundance. Direct estimates of polar bear abundance are difficult to obtain due to their large home ranges in remote Arctic habitats. Changes in abundance associated with environmental conditions appear to affect polar bears largely via effects on female body condition which influence reproduction and cub survival (i.e., recruitment). Loss of sea ice habitat is further limiting researcher access for population monitoring creating a need for alternative approaches. Here we used relationships established from eight years (2008–2017) of data collected on 439 polar bears in the Chukchi Sea, to transform previously published individual-based relationships with annually available sea ice, atmospheric circulation, and prey body condition variables to predict annual mean body condition and recruitment during 2018–2022. Although annual sample sizes were limited for verifying predicted body condition and recruitment via techniques such as cross-validation, in most cases predicted annual means were closely correlated with observed means for 2008–2017. Summer sea ice and prey body condition remained within or increased relative to levels observed during 2008–2017 and predicted polar bear body condition and recruitment during 2018–2022 were largely within or above observed annual means during 2008–2017. A lack of trend in environmental and ecological variables or polar bear body condition and recruitment metrics during 2008–2022 is suggestive that the Chukchi Sea polar bear population was likely stable during this time. Our results provide support for developing models that predict important population parameters of large mammals based on environmental and ecological indicators. Given that trend information is lacking for 10 of the 19 recognized polar bear populations and is outdated for others, the use of environmental and ecological indicators may be particularly useful for augmenting direct estimates of polar bear vital rates in between periods of data collection. Although demographic assessments for polar bears have primarily focused on correlations with sea ice availability, our study and others highlight that prey health is also an important indicator of polar bear population status.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.111638","usgsCitation":"Rode, K.D., Wilson, R., Crawford, J.A., and Quakenbush, L.T., 2024, Identifying indicators of polar bear population status: Ecological Indicators, v. 159, 111638, 12 p., https://doi.org/10.1016/j.ecolind.2024.111638.","productDescription":"111638, 12 p.","ipdsId":"IP-154752","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.111638","text":"Publisher Index Page"},{"id":424948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"159","noUsgsAuthors":false,"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":893334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Ryan R. ","contributorId":222456,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan R. ","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":893335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, Justin A.","contributorId":214225,"corporation":false,"usgs":false,"family":"Crawford","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":893336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quakenbush, Lori T.","contributorId":192737,"corporation":false,"usgs":false,"family":"Quakenbush","given":"Lori","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":893337,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274318,"text":"70274318 - 2024 - Climate-resource scenarios to inform climate change adaptation in Wrangell-St. Elias National Park and Preserve: Summary of 2021 climate change scenario planning","interactions":[],"lastModifiedDate":"2026-03-26T15:45:20.211683","indexId":"70274318","displayToPublicDate":"2024-01-01T10:29:04","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/WRST/NRR-2024/2613","title":"Climate-resource scenarios to inform climate change adaptation in Wrangell-St. Elias National Park and Preserve: Summary of 2021 climate change scenario planning","docAbstract":"<p><span>This report illustrates use of scenario planning as a climate change adaptation tool supporting Wrangell-St. Elias National Park and Preserve’s Resource Stewardship Strategy. The primary objective of scenario planning is to help resource managers and scientists make management and planning decisions informed by assessments of critical future uncertainties. This report outlines a process that synthesized future climate projections into three distinct but plausible and relevant climate summaries for the focal area and used them to develop climate-resource scenarios through participatory scenario planning.</span></p><p><br><span>Initial steps identified the priority resource management topics and the corresponding related climate uncertainties. Next, local climate summaries were used to develop divergent climate futures: those that describe the broadest possible range of plausible conditions while capturing relevant uncertainty. The final phase further developed the climate futures and their resource implications. These participatory scenario planning exercises occurred virtually in fall (August–November) 2021. The climate-resource scenarios informed adaptation strategies in conjunction with the park’s Resource Stewardship Strategy development. The scope and complexity of this effort is unique but elements from the scenarios and resource implications have broad applicability to other large, protected areas in Alaska and Northwest Canada.</span></p>","language":"English","publisher":"U.S. Department of the Interior, National Park Service","doi":"10.36967/2301920","usgsCitation":"Runyon, A.N., Schuurman, G.W., Robb, B.C., Littell, J.S., Miller, M.E., and Reynolds, J.H., 2024, Climate-resource scenarios to inform climate change adaptation in Wrangell-St. Elias National Park and Preserve: Summary of 2021 climate change scenario planning: Natural Resource Report NPS/WRST/NRR-2024/2613, xiii, 112 p., https://doi.org/10.36967/2301920.","productDescription":"xiii, 112 p.","ipdsId":"IP-154105","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":501579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"Wrangell-St. Elias National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -140.3698728148001,\n              59.688302495160485\n            ],\n            [\n              -139.2319441586484,\n              60.02549480874313\n            ],\n            [\n              -139.0775912683798,\n              60.346328316489405\n            ],\n            [\n              -139.78776948885917,\n              60.3488103378173\n            ],\n            [\n              -139.96801351160155,\n              60.190619264897435\n            ],\n            [\n              -140.41712421610984,\n              60.30556873533814\n            ],\n            [\n              -140.505593782505,\n              60.22614747728031\n            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C.","contributorId":367880,"corporation":false,"usgs":false,"family":"Robb","given":"Brecken","middleInitial":"C.","affiliations":[{"id":87639,"text":"US NPS Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":957857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":957858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Mark E.","contributorId":367883,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","middleInitial":"E.","affiliations":[{"id":87639,"text":"US NPS Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":957859,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, Joel H.","contributorId":367884,"corporation":false,"usgs":false,"family":"Reynolds","given":"Joel","middleInitial":"H.","affiliations":[{"id":87639,"text":"US NPS Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":957860,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250775,"text":"70250775 - 2024 - Hydrothermal monazite and xenotime chemistry as genetic discriminators for intrusion-related and orogenic gold deposits: Implications for an orogenic origin of the Pogo gold deposit, Alaska","interactions":[],"lastModifiedDate":"2024-05-20T15:17:04.532583","indexId":"70250775","displayToPublicDate":"2023-12-29T07:01:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal monazite and xenotime chemistry as genetic discriminators for intrusion-related and orogenic gold deposits: Implications for an orogenic origin of the Pogo gold deposit, Alaska","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Attempts to geochemically distinguish between metamorphic-hydrothermal systems that form orogenic gold deposits and both reduced and oxidized magmatic-hydrothermal systems using isotopes or metal associations have proven ambiguous, particularly for orogenic gold and reduced intrusion-related gold systems. The absence of conclusive geochemical discriminators and the overlap in geologic characteristics have led to gold deposit models being potentially incorrectly applied, which in turn negatively affect regional mineral exploration and mine planning. In this study, in situ electron microprobe geochemical analyses of hydrothermal monazite and xenotime crystals associated with different types of gold-bearing deposits are shown to be effective geochemical discriminators. There are notable differences in mineral chemistry such as rare earth element (REE) profiles, total light REE, Dy, Er, Pr, Y, Nd/Sm, and La/Sm that distinguish monazite precipitated from metamorphic-hydrothermal fluids that form orogenic gold deposits and those precipitated from magmatic-hydrothermal fluids that form both porphyry Cu-Mo-Au and reduced intrusion-related gold deposits. Notable differences in overall xenotime abundances and concentrations of heavy REEs, Ca, and Sc are distinctive between the different deposit classes for xenotime. The origin of the controversially classified Pogo gold deposit, Tintina gold province, Alaska, which has been characterized as both a reduced intrusion-related and an orogenic gold deposit, is tested based upon the noted chemical differences associated with these hydrothermal phosphates. The findings of this study have implications for exploration and mine development in the Tintina gold province and other areas that contain deposits that are controversially classified as either orogenic or as magmatic-hydrothermal gold deposits.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00126-023-01240-5","usgsCitation":"Taylor, R., Graham, G.E., and Lowers, H.A., 2024, Hydrothermal monazite and xenotime chemistry as genetic discriminators for intrusion-related and orogenic gold deposits: Implications for an orogenic origin of the Pogo gold deposit, Alaska: Mineralium Deposita, v. 59, p. 949-967, https://doi.org/10.1007/s00126-023-01240-5.","productDescription":"19 p.","startPage":"949","endPage":"967","ipdsId":"IP-153907","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":440841,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-023-01240-5","text":"Publisher Index Page"},{"id":424110,"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              -158.5757283796243,\n              66.30882355010831\n            ],\n            [\n              -158.5757283796243,\n              59.39793159658413\n            ],\n            [\n              -143.28798884528499,\n              59.39793159658413\n            ],\n            [\n              -143.28798884528499,\n              66.30882355010831\n            ],\n            [\n              -158.5757283796243,\n              66.30882355010831\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","noUsgsAuthors":false,"publicationDate":"2023-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Ryan D. 0000-0002-8845-5290","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":201948,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":891378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":891379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":891380,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250695,"text":"70250695 - 2024 - Alaska's climate sensitive Yukon-Kuskokwim Delta supports seven million Arctic-breeding shorebirds, including the majority of six North American populations","interactions":[],"lastModifiedDate":"2024-05-07T14:25:34.680885","indexId":"70250695","displayToPublicDate":"2023-12-22T06:37:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Alaska's climate sensitive Yukon-Kuskokwim Delta supports seven million Arctic-breeding shorebirds, including the majority of six North American populations","docAbstract":"<p class=\"chapter-para\">Baseline information about declining North American shorebird populations is essential to determine the effects of global warming at low-lying coastal areas of the Arctic and subarctic, where numerous taxa breed, and to assess population recovery throughout their range. We estimated population sizes on the Yukon-Kuskokwim Delta in western Alaska on the eastern edge of the Bering Sea. We conducted ground-based surveys during 2015 and 2016 at 589 randomly selected plots from an area of 35,769 km<sup>2</sup>. We used stratified random sampling in 8 physiographic strata and corrected population estimates using detection ratios derived from double sampling on a subset of plots. We detected 11,110 breeding individuals of 21 taxa. Western Sandpiper (<i>Calidris mauri</i>), Red-necked Phalarope (<i>Phalaropus lobatus</i>), Dunlin (subspecies<span>&nbsp;</span><i>C. alpina pacifica</i>), and Wilson’s Snipe (<i>Gallinago delicata</i>) were the most abundant taxa. We estimated that ~6.9 million individual shorebirds were breeding on the entire Yukon-Kuskokwim Delta in 2015 and 2016. Our surveys of this region provided robust population estimates (CVs ≤ 0.35) for 14 species. Our results indicate that the Yukon-Kuskokwim Delta supports a large proportion of North America’s breeding populations of the Pacific Golden-Plover (<i>Pluvialis fulva</i>), the western population of a Whimbrel subspecies (<i>Numenius phaeopus hudsonicus</i>), a Bar-tailed Godwit subspecies (<i>Limosa lapponica baueri</i>), Black Turnstone (<i>Arenaria melanocephala</i>), a Dunlin subspecies (<i>Calidris alpina pacifica</i>), and Western Sandpiper. Our study highlights the importance to breeding shorebirds of this relatively pristine but climatically sensitive deltaic system. Estuaries and deltaic systems worldwide are rapidly being degraded by anthropogenic activities. Our population estimates can be used to refine prior North American population estimates, determine effects of global warming, and evaluate conservation success by measuring population change over time.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/ornithapp/duad066","usgsCitation":"Lyons, J.E., Brown, S.C., Saalfeld, S., Johnson, J.A., Andres, B.A., Sowl, K.M., Gill, R.E., McCaffery, B.J., Kidd, L., McGarvey, M., Winn, B., Gates, H., Granfors, D.A., and Lanctot, R., 2024, Alaska's climate sensitive Yukon-Kuskokwim Delta supports seven million Arctic-breeding shorebirds, including the majority of six North American populations: Ornithological Applications, v. 126, no. 2, duad066, 14 p., https://doi.org/10.1093/ornithapp/duad066.","productDescription":"duad066, 14 p.","ipdsId":"IP-152991","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":440867,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duad066","text":"Publisher Index Page"},{"id":423900,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon–Kuskokwim coastal lowlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -164.3286930983152,\n              63.39057476280905\n            ],\n            [\n              -166.60703050643983,\n              61.37078951015633\n            ],\n            [\n              -164.4372054832038,\n              59.715009537551424\n            ],\n            [\n              -159.20751145416725,\n              59.836857513445096\n            ],\n            [\n              -159.20751145416725,\n              63.40083870657119\n            ],\n            [\n              -164.3286930983152,\n              63.39057476280905\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"126","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":891006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Stephen C.","contributorId":38457,"corporation":false,"usgs":false,"family":"Brown","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":891007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saalfeld, Sarah T.","contributorId":41721,"corporation":false,"usgs":true,"family":"Saalfeld","given":"Sarah T.","affiliations":[],"preferred":false,"id":891008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, James A.","contributorId":199284,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":891009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andres, Brad A.","contributorId":68811,"corporation":false,"usgs":true,"family":"Andres","given":"Brad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":891010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sowl, Kristine M.","contributorId":60372,"corporation":false,"usgs":false,"family":"Sowl","given":"Kristine","email":"","middleInitial":"M.","affiliations":[{"id":12598,"text":"Izembek National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":891011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gill, Robert E. 0000-0002-1414-0587 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-0587","contributorId":332825,"corporation":false,"usgs":true,"family":"Gill","given":"Robert","email":"rgill@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":891012,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCaffery, Brian J.","contributorId":37617,"corporation":false,"usgs":true,"family":"McCaffery","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":891013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kidd, Lindall","contributorId":332827,"corporation":false,"usgs":false,"family":"Kidd","given":"Lindall","email":"","affiliations":[{"id":79655,"text":"BirdLife Australia","active":true,"usgs":false}],"preferred":false,"id":891014,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McGarvey, Metta","contributorId":332828,"corporation":false,"usgs":false,"family":"McGarvey","given":"Metta","email":"","affiliations":[{"id":79653,"text":"Manomet, Inc.","active":true,"usgs":false}],"preferred":false,"id":891015,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Winn, Brad","contributorId":332829,"corporation":false,"usgs":false,"family":"Winn","given":"Brad","affiliations":[{"id":79653,"text":"Manomet, Inc.","active":true,"usgs":false}],"preferred":false,"id":891016,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gates, H. River","contributorId":84256,"corporation":false,"usgs":true,"family":"Gates","given":"H. River","affiliations":[],"preferred":false,"id":891017,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Granfors, Diane A.","contributorId":174567,"corporation":false,"usgs":false,"family":"Granfors","given":"Diane","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":891018,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lanctot, Richard B.","contributorId":77879,"corporation":false,"usgs":false,"family":"Lanctot","given":"Richard B.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":891019,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70253022,"text":"70253022 - 2024 - Environmental DNA as a tool for better understanding the distribution, abundance, and health of Atlantic and Pacific salmon","interactions":[],"lastModifiedDate":"2024-04-17T11:50:20.755724","indexId":"70253022","displayToPublicDate":"2023-12-21T06:46:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA as a tool for better understanding the distribution, abundance, and health of Atlantic and Pacific salmon","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>The development and application of approaches to detect and quantify environmental DNA (eDNA) have potential to improve our understanding of the distribution, abundance, and health of Atlantic Salmon<span>&nbsp;</span><i>Salmo salar</i><span>&nbsp;</span>and Pacific salmon<span>&nbsp;</span><i>Oncorhynchus</i><span>&nbsp;</span>spp. Here, we review 61 articles focusing on eDNA applications pertaining to salmon occupying natural habitat and aquaculture facilities in the context of advances, opportunities, and challenges. Given recent advances, eDNA now serves as a useful tool for detecting Atlantic Salmon and Pacific salmon and understanding threats to the health of fish and their habitats. Opportunities exist to apply sensitive and minimally invasive eDNA approaches to detect fish and assess fish habitat, assess range expansions of salmon and salmon pathogens, and detect invasive species that may threaten salmon health and abundance. Near real-time eDNA detection and quantification approaches to inform fisheries management may be on the horizon. Challenges limiting the widespread application of eDNA approaches for informing salmon management include accounting for the many factors affecting detection and quantification of eDNA, limits of data for deriving inference, and expense. Through continued development and refinement, eDNA approaches are anticipated to become increasingly available to, and utilized by, managers of Atlantic Salmon and Pacific salmon fisheries.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.11038","usgsCitation":"Ramey, A.M., Mckeeman, C.M., Petrou, E., Menning, D.M., Russ, O.L., and Lopez, A., 2024, Environmental DNA as a tool for better understanding the distribution, abundance, and health of Atlantic and Pacific salmon: Fisheries Magazine, v. 49, no. 4, p. 169-180, https://doi.org/10.1002/fsh.11038.","productDescription":"12 p.","startPage":"169","endPage":"180","ipdsId":"IP-154689","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fsh.11038","text":"Publisher Index Page"},{"id":427838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":898958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mckeeman, Cherie Marie 0000-0001-9868-2502","orcid":"https://orcid.org/0000-0001-9868-2502","contributorId":334651,"corporation":false,"usgs":true,"family":"Mckeeman","given":"Cherie","email":"","middleInitial":"Marie","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":898959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petrou, Eleni Leto 0000-0001-7811-9288","orcid":"https://orcid.org/0000-0001-7811-9288","contributorId":334653,"corporation":false,"usgs":true,"family":"Petrou","given":"Eleni Leto","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":898960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menning, Damian M. 0000-0003-3547-3062 dmenning@usgs.gov","orcid":"https://orcid.org/0000-0003-3547-3062","contributorId":205131,"corporation":false,"usgs":true,"family":"Menning","given":"Damian","email":"dmenning@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":898961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russ, Ora L.","contributorId":174633,"corporation":false,"usgs":false,"family":"Russ","given":"Ora","email":"","middleInitial":"L.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":898962,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez, Andres","contributorId":287078,"corporation":false,"usgs":false,"family":"Lopez","given":"Andres","email":"","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":898963,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250645,"text":"70250645 - 2024 - Rapid population decline in McKay's Bunting, an Alaskan endemic, highlights the species’ current status relative to international standards for vulnerable species","interactions":[],"lastModifiedDate":"2024-05-07T14:21:25.778877","indexId":"70250645","displayToPublicDate":"2023-12-19T07:07:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Rapid population decline in McKay's Bunting, an Alaskan endemic, highlights the species’ current status relative to international standards for vulnerable species","docAbstract":"<p class=\"chapter-para\">The McKay’s Bunting (<i>Plectrophenax hyperboreus</i>) is endemic to Alaska, breeds solely on the remote and uninhabited St. Matthew and Hall islands (332 km<sup>2</sup>) in the central Bering Sea, and is designated as a species of high conservation concern due to its small population size and restricted range. A previous hypothesized population estimate (~2,800—6,000 individuals) was greatly increased (~31,200 individuals) after systematic surveys of the species’ entire breeding range in 2003, establishing McKay’s Bunting as one of the rarest passerines in North America. In 2018, we replicated the 2003 surveys and used density surface models to estimate breeding season densities, distributions, and population change over the intervening time period. Our results indicate that the McKay's Bunting population declined by 38% (95% CI: 27—48%) from ~31,560 to 19,481 individuals since 2003. Spatial model predictions showed no areas with an increase of birds on either St. Matthew or Hall islands but revealed declines across 13% (42 km<sup>2</sup>) of St. Matthew Island. Declines disproportionately occurred both in marginal habitats with reduced rocky nesting substrate and in high-density hotspots along the coast of St. Matthew Island. The total area occupied by breeding adults decreased by 8%, and high-density hotspots shifted inland from the coast of St. Matthew Island to higher elevations on both islands, the latter potentially responses to exceptionally warm weather and reduced spring snow cover in 2018. Additionally, we observed low numbers of predators and interspecific competitors in 2018 suggesting these did not cause the decline. Our findings indicate that McKay’s Bunting meets international standards for elevating its conservation status from Least Concern to Endangered based on the International Union for Conservation of Nature Red List of Threatened Species ranking criteria. Additional population monitoring and studies to identify the causal mechanisms of the recent population decline of this rare species could assist future population assessments.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duad064","usgsCitation":"Richardson, R.M., Amundson, C.L., Johnson, J.A., Romano, M.D., Taylor, A.R., Fleming, M., and Matsuoka, S.M., 2024, Rapid population decline in McKay's Bunting, an Alaskan endemic, highlights the species’ current status relative to international standards for vulnerable species: Ornithological Applications, v. 126, no. 2, duad064, 12 p., https://doi.org/10.1093/ornithapp/duad064.","productDescription":"duad064, 12 p.","ipdsId":"IP-156671","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440896,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duad064","text":"Publisher Index Page"},{"id":435072,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94JY2KH","text":"USGS data release","linkHelpText":"Data for Estimating McKay's Bunting (Plectrophenax hyperboreus) Population Change on St. Matthew and Hall Islands, Alaska"},{"id":423862,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Hall Island, St. Matthew Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -172.261171193919,\n              60.283813219091456\n            ],\n            [\n              -172.19823889848468,\n              60.313577467466075\n            ],\n            [\n              -172.38560550534595,\n              60.400588373260575\n            ],\n   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USDA","active":true,"usgs":false}],"preferred":false,"id":890694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, James A. 0000-0002-2312-0633","orcid":"https://orcid.org/0000-0002-2312-0633","contributorId":299054,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":890695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romano, Marc D.","contributorId":224656,"corporation":false,"usgs":false,"family":"Romano","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":890696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Audrey R.","contributorId":10396,"corporation":false,"usgs":false,"family":"Taylor","given":"Audrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":890697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fleming, Michael D.","contributorId":332620,"corporation":false,"usgs":false,"family":"Fleming","given":"Michael D.","affiliations":[{"id":79518,"text":"Images Unlimited","active":true,"usgs":false}],"preferred":false,"id":890698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":890699,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251599,"text":"70251599 - 2024 - Insights into glendonite formation from the upper Oligocene Sagavanirktok Formation, North Slope, Alaska","interactions":[],"lastModifiedDate":"2024-03-26T14:55:12.148679","indexId":"70251599","displayToPublicDate":"2023-12-01T06:00:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Insights into glendonite formation from the upper Oligocene Sagavanirktok Formation, North Slope, Alaska","docAbstract":"<div id=\"139025290\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The type locality for the upper Oligocene Nuwok Member of the Sagavanirktok Formation (Carter Creek, North Slope, Alaska, USA) contains abundant occurrence of glendonite, a pseudomorph after the calcium carbonate mineral ikaite, which typically forms in the shallow subsurface of cold marine sediments. The region during the time of Nuwok Member deposition was located at a high latitude, similar to today, and the study site is characterized by sands and silty muds interpreted here to have been deposited in coastal and shelfal marine environments. Isotopic (Sr) and biostratigraphic (foraminifera) evidence presented here refine the depositional age of the outcrop to approximately 24 Ma. Glendonites occur in two basic forms: radial clusters, commonly centered around a single larger primary crystal ( approx. 10 cm; Type A) and larger single blades generally without accessory crystals (approx. 15–25 cm; Type B). Microscopic examination revealed a sequence of multiple types of replacive calcite that formed as a direct result of ikaite transformation: Type 1 rhombohedral crystals characterized by microporous and inclusion-rich cores and concentric zones, Type 2A, composed of clear calcite that overgrew and augmented Type 1 crystals, and inclusion-rich, microcrystalline Type 2B, which formed a matrix surrounding the rhombs and commonly dominates the outer rims of glendonite specimens. Type 3 calcite precipitated as fibrous, botryoidal epitaxial cement atop previous phases and is not ikaite-derived. These phases are distributed in similar ways in all examined specimens and are consistent with several previously described glendonite occurrences around the world, despite differing diagenetic and geologic histories. Stable isotope evidence (δ13C and δ18O) suggests sourcing of glendonite carbon from both organic and methanogenic sources. Glendonites of the Nuwok Member can therefore assist in the determination of a more comprehensive ikaite transformation model, improving our understanding of glendonite formation and the sedimentological and environmental context of their occurrence. Oligocene glendonites are uncommon globally; the well-preserved occurrence described here can allow future studies to better reconstruct Arctic environmental conditions and paleoclimates during this time.</p></div>","language":"English","publisher":"Society of Sedimentary Geology","doi":"10.2110/jsr.2023.060","usgsCitation":"Counts, J.W., Vickers, M., Stokes, M., Spivey, W., Gardner, K.F., Self-Trail, J., Gooley, J.T., McAleer, R.J., Jubb, A., Houseknecht, D.W., Lease, R.O., Griffis, N.P., Vickers, M.S., Sliwinska, K., Tompkins, H.G., and Hudson, A.M., 2024, Insights into glendonite formation from the upper Oligocene Sagavanirktok Formation, North Slope, Alaska: Journal of Sedimentary Research, v. 94, no. 2, p. 179-206, https://doi.org/10.2110/jsr.2023.060.","productDescription":"28 p.","startPage":"179","endPage":"206","ipdsId":"IP-152908","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science 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0000-0002-4964-0418","orcid":"https://orcid.org/0000-0002-4964-0418","contributorId":334196,"corporation":false,"usgs":false,"family":"Vickers","given":"Madeleine","email":"","affiliations":[{"id":48608,"text":"University of Oslo","active":true,"usgs":false}],"preferred":false,"id":895002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stokes, Martha 0000-0002-2838-8380","orcid":"https://orcid.org/0000-0002-2838-8380","contributorId":269608,"corporation":false,"usgs":true,"family":"Stokes","given":"Martha","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":895003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":895004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":895005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":895006,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gooley, Jared T. 0000-0001-5620-3702","orcid":"https://orcid.org/0000-0001-5620-3702","contributorId":248710,"corporation":false,"usgs":true,"family":"Gooley","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":895007,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":895008,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":895009,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":895010,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":895011,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Griffis, Neil Patrick 0000-0002-2506-7549","orcid":"https://orcid.org/0000-0002-2506-7549","contributorId":330218,"corporation":false,"usgs":true,"family":"Griffis","given":"Neil","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":895012,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vickers, Martin S.","contributorId":334197,"corporation":false,"usgs":false,"family":"Vickers","given":"Martin","email":"","middleInitial":"S.","affiliations":[{"id":6957,"text":"University College London","active":true,"usgs":false}],"preferred":false,"id":895013,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sliwinska, Kasia 0000-0001-5488-8832","orcid":"https://orcid.org/0000-0001-5488-8832","contributorId":334198,"corporation":false,"usgs":false,"family":"Sliwinska","given":"Kasia","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":895014,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tompkins, Hannah Gail Dooley 0000-0002-5268-7524","orcid":"https://orcid.org/0000-0002-5268-7524","contributorId":330219,"corporation":false,"usgs":true,"family":"Tompkins","given":"Hannah","email":"","middleInitial":"Gail Dooley","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":895015,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":895016,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70250119,"text":"70250119 - 2024 - Crustal block-controlled contrasts in deformation, uplift, and exhumation in the Santa Cruz Mountains, California, USA, imaged through apatite (U-Th)/He thermochronology and 3-D geological modeling","interactions":[],"lastModifiedDate":"2024-07-01T14:09:36.420678","indexId":"70250119","displayToPublicDate":"2023-11-17T07:01:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Crustal block-controlled contrasts in deformation, uplift, and exhumation in the Santa Cruz Mountains, California, USA, imaged through apatite (U-Th)/He thermochronology and 3-D geological modeling","docAbstract":"<div id=\"138778396\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Deformation along strike-slip plate margins often accumulates within structurally partitioned and rheologically heterogeneous crustal blocks within the plate boundary. In these cases, contrasts in the physical properties and state of juxtaposed crustal blocks may play an important role in accommodation of deformation. Near the San Francisco Bay Area, California, USA, the Pacific−North American plate-bounding San Andreas fault bisects the Santa Cruz Mountains (SCM), which host numerous distinct, fault-bounded lithotectonic blocks that surround the San Andreas fault zone. In the SCM, a restraining bend in the San Andreas fault (the SCM bend) caused recent uplift of the mountain range since ca. 4 Ma. To understand how rheologic heterogeneity within a complex fault zone might influence deformation, we quantified plausible bounds on deformation and uplift across two adjacent SCM lithotectonic blocks on the Pacific Plate whose stratigraphic and tectonic histories differ. This was accomplished by combining 31 new apatite (U-Th)/He ages with existing thermochronological datasets to constrain exhumation of these two blocks. Additionally, surface exposures of the latest Miocene to late Pliocene Purisima Formation interpreted in 18 structural cross sections spanning the SCM allowed construction and restoration of Pliocene deformation in a three-dimensional geologic model. We found that rock uplift and deformation concentrated within individual Pacific Plate lithotectonic blocks in the SCM. Since 4 Ma, maximum principal strain computed for the more deformed block adjacent to the fault exceeded that computed for the less deformed block by at least 375%, and cumulative uplift has been more spatially extensive and higher in magnitude. We attribute the difference in uplift and deformation between the two blocks primarily to contrasts in lithotectonic structure, which resulted from diverging geologic histories along the evolving plate boundary.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36528.1","usgsCitation":"Baden, C.W., Shuster, D.L., Hourigan, J., Gooley, J.T., Cahill, M., and Hilley, G.E., 2024, Crustal block-controlled contrasts in deformation, uplift, and exhumation in the Santa Cruz Mountains, California, USA, imaged through apatite (U-Th)/He thermochronology and 3-D geological modeling: Geological Society of America Bulletin, v. 136, no. 77-8, p. 2789-2814, https://doi.org/10.1130/B36528.1.","productDescription":"26 p.","startPage":"2789","endPage":"2814","ipdsId":"IP-138230","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":441034,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b36528.1","text":"Publisher Index Page"},{"id":422781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.9348200302511,\n              37.885321620398926\n            ],\n            [\n              -122.9348200302511,\n              36.64380432009875\n            ],\n            [\n              -121.19898018650117,\n              36.64380432009875\n            ],\n            [\n              -121.19898018650117,\n              37.885321620398926\n            ],\n            [\n              -122.9348200302511,\n              37.885321620398926\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"136","issue":"77-8","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Baden, Curtis William 0000-0002-9479-8660","orcid":"https://orcid.org/0000-0002-9479-8660","contributorId":331679,"corporation":false,"usgs":true,"family":"Baden","given":"Curtis","email":"","middleInitial":"William","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":888451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shuster, David L.","contributorId":241607,"corporation":false,"usgs":false,"family":"Shuster","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":888452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hourigan, Jeremy H.","contributorId":331680,"corporation":false,"usgs":false,"family":"Hourigan","given":"Jeremy H.","affiliations":[{"id":79264,"text":"Department of Earth and Planetary Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, California, 95064, USA","active":true,"usgs":false}],"preferred":false,"id":888453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gooley, Jared T. 0000-0001-5620-3702","orcid":"https://orcid.org/0000-0001-5620-3702","contributorId":248710,"corporation":false,"usgs":true,"family":"Gooley","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":888454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahill, Melanie","contributorId":331681,"corporation":false,"usgs":false,"family":"Cahill","given":"Melanie","email":"","affiliations":[{"id":79265,"text":"Department of Geological Sciences, Stanford University, Stanford, California 94305-2115, USA","active":true,"usgs":false}],"preferred":false,"id":888455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilley, George E.","contributorId":197258,"corporation":false,"usgs":false,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":888456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250046,"text":"70250046 - 2024 - Molecular detection and characterization of highly pathogenic H5N1 clade 2.3.4.4b avian influenza viruses among hunter-harvested wild birds provides evidence for three independent introductions into Alaska","interactions":[],"lastModifiedDate":"2023-11-20T17:48:55.528987","indexId":"70250046","displayToPublicDate":"2023-11-10T07:00:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3696,"text":"Virology","active":true,"publicationSubtype":{"id":10}},"title":"Molecular detection and characterization of highly pathogenic H5N1 clade 2.3.4.4b avian influenza viruses among hunter-harvested wild birds provides evidence for three independent introductions into Alaska","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">We detected and characterized<span>&nbsp;</span>highly pathogenic avian influenza viruses<span>&nbsp;among hunter-harvested wild waterfowl inhabiting western Alaska during September–October 2022 using a molecular sequencing pipeline applied to RNA extracts derived directly from original swab samples. Genomic characterization of 10 H5 clade 2.3.4.4b&nbsp;avian influenza viruses&nbsp;detected with high confidence provided evidence for three independent viral introductions into Alaska. Our results highlight the utility and some potential limits of applying molecular processing approaches directly to RNA extracts from original swab samples for viral research and monitoring.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.virol.2023.109938","usgsCitation":"Ramey, A.M., Scott, L.C., Ahlstrom, C., Buck, E.J., Williams, A., Kim Torchetti, M., Stallknecht, D., and Poulson, R., 2024, Molecular detection and characterization of highly pathogenic H5N1 clade 2.3.4.4b avian influenza viruses among hunter-harvested wild birds provides evidence for three independent introductions into Alaska: Virology, v. 589, 109938, 6 p., https://doi.org/10.1016/j.virol.2023.109938.","productDescription":"109938, 6 p.","ipdsId":"IP-156095","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441058,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.virol.2023.109938","text":"Publisher Index Page"},{"id":435090,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LPH8ZQ","text":"USGS data release","linkHelpText":"Molecular Detection and Characterization of Highly Pathogenic H5N1 Avian Influenza Viruses in Wild Birds Inhabiting Western Alaska Provides Evidence for Three Independent Viral Introductions"},{"id":422617,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alasak","otherGeospatial":"Izembek National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n             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