{"pageNumber":"84","pageRowStart":"2075","pageSize":"25","recordCount":46619,"records":[{"id":70254928,"text":"70254928 - 2024 - Effects of hunting on mating, relatedness, and genetic diversity in a puma population","interactions":[],"lastModifiedDate":"2024-10-23T15:58:07.68125","indexId":"70254928","displayToPublicDate":"2023-12-12T10:47:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of hunting on mating, relatedness, and genetic diversity in a puma population","docAbstract":"

Hunting mortality can affect population abundance, demography, patterns of dispersal and philopatry, breeding, and genetic diversity. We investigated the effects of hunting on the reproduction and genetic diversity in a puma population in western Colorado, USA. We genotyped over 11,000 single nucleotide polymorphisms (SNPs), using double-digest, restriction site-associated DNA sequencing (ddRADseq) in 291 tissue samples collected as part of a study on the effects of hunting on puma population abundance and demography in Colorado from 2004 to 2014. The study was designed with a reference period (years 1–5), during which hunting was suspended, followed by a treatment period (years 6–10), in which hunting was reinstated. Our objectives were to examine the effects of hunting on: (1) paternity and male reproductive success; (2) the relatedness between pumas within the population, and (3) genetic diversity. We found that hunting reduced the average age of male breeders. The number of unique fathers siring litters increased each year without hunting and decreased each year during the hunting period. Mated pairs were generally unrelated during both time periods, and females were more closely related than males. Hunting was also associated with increased relatedness among males and decreased relatedness among females in the population. Finally, genetic diversity increased during the period without hunting and decreased each year when hunting was present. This study demonstrates the utility of merging demographic data with large-scale genomic datasets in order to better understand the consequences of management actions. Specifically, we believe that this study highlights the need for long-term experimental research in which hunting mortality is manipulated, including at least one non-harvested control population, as part of a broader adaptive, zone management scheme.

","language":"English","publisher":"Wiley","doi":"10.1111/mec.17237","usgsCitation":"Erwin, J., Logan, K.A., Trumbo, D.R., Funk, W.C., and Culver, M., 2024, Effects of hunting on mating, relatedness, and genetic diversity in a puma population: Molecular Ecology, v. 33, no. 20, e17237, https://doi.org/10.1111/mec.17237.","productDescription":"e17237","ipdsId":"IP-159596","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":499839,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://ecollections.law.fiu.edu/faculty_publications/511","text":"External Repository"},{"id":429884,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Uncompahgre Plateau study area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.00715135909441,\n 39.040144697788094\n ],\n [\n -109.00715135909441,\n 37.94141224070735\n ],\n [\n -106.98806031661108,\n 37.94141224070735\n ],\n [\n -106.98806031661108,\n 39.040144697788094\n ],\n [\n -109.00715135909441,\n 39.040144697788094\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"20","noUsgsAuthors":false,"publicationDate":"2023-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Erwin, John A.","contributorId":338032,"corporation":false,"usgs":false,"family":"Erwin","given":"John A.","affiliations":[{"id":81073,"text":"Florida International University College of Law","active":true,"usgs":false}],"preferred":false,"id":902910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Kenneth A.","contributorId":338033,"corporation":false,"usgs":false,"family":"Logan","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":902911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trumbo, Daryl R.","contributorId":338034,"corporation":false,"usgs":false,"family":"Trumbo","given":"Daryl","email":"","middleInitial":"R.","affiliations":[{"id":81076,"text":"Colorado State University Pueblo","active":true,"usgs":false}],"preferred":false,"id":902912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, W. Chris","contributorId":338035,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":902913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":902914,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254874,"text":"70254874 - 2024 - Weather influences survival probability in two coexisting mammals directly and indirectly via competitive asymmetry","interactions":[],"lastModifiedDate":"2024-09-23T16:04:06.020621","indexId":"70254874","displayToPublicDate":"2023-12-10T19:39:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Weather influences survival probability in two coexisting mammals directly and indirectly via competitive asymmetry","docAbstract":"

Ecologists have studied the role of interspecific competition in structuring ecological communities for decades. Differential weather effects on animal competitors may be a particularly important factor contributing to the outcome of competitive interactions, though few studies have tested this hypothesis in free-ranging animals. Specifically, weather might influence competitive dynamics by altering competitor densities and/or per-capita competitive effects on demographic vital rates. We used a 9-year data set of marked individuals to test for direct and interactive effects of weather and competitor density on survival probability in two coexisting mammalian congeners: Columbian ground squirrels (Urocitellus columbianus) and northern Idaho ground squirrels (Urocitellus brunneus). Ambient temperature and precipitation influenced survival probability in both species, but the effects of weather differed between the two species. Moreover, density of the larger Columbian ground squirrel negatively impacted survival probability in the smaller northern Idaho ground squirrel (but not vice versa), and the strength of the negative effect was exacerbated by precipitation. That is, cooler, wetter conditions benefited the larger competitor to the detriment of the smaller species. Our results suggest weather-driven environmental variation influences the competitive equilibrium between ecologically similar mammals of differential body size. Whether future climate change leads to the competitive exclusion of either species will likely depend on the mechanism(s) explaining the coexistence of these competing species. Divergent body size and, hence, differences in thermal tolerance and giving up densities offer potential explanations for the weather-dependent competitive asymmetry we documented, especially if the larger species competitively excludes the smaller species from habitat patches of shared preference via interference.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4229","usgsCitation":"Allison, A.Z., Conway, C.J., and Goldberg, A., 2024, Weather influences survival probability in two coexisting mammals directly and indirectly via competitive asymmetry: Ecology, v. 105, no. 2, e4229, 14 p., https://doi.org/10.1002/ecy.4229.","productDescription":"e4229, 14 p.","ipdsId":"IP-142206","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"western 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\"}}]}","volume":"105","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Allison, Austin Z.T.","contributorId":339231,"corporation":false,"usgs":false,"family":"Allison","given":"Austin","email":"","middleInitial":"Z.T.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":902748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Amanda 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Wildfires are increasing in size and severity across much of the western United States, exposing vulnerable wildland-urban interfaces to post-fire hazards. The Mediterranean chaparral region of Northern California contains many high sloping watersheds prone to hazardous post-fire flood events and identifying watersheds at high risk of soil loss and debris flows is a priority for post-fire response and management. Uncrewed Aerial Systems (UAS; aka drones) offer post-fire management teams the ability to quickly mobilize and survey burned areas with very high-resolution imagery (∼1 cm), facilitating emergency management and post-fire hazard assessment. However, adoption of this technology by hazard response teams may be hindered by complicated workflows for UAS data acquisition, image processing and analysis. We present an open-source workflow using mature Geographic Information Systems (GIS) software and Python packages in a Jupyter Notebook environment that guides users through classification of true-color UAS imagery to generate high resolution burn severity maps which can then be scaled across larger watersheds using Sentinel-2 normalized burn ratio (NBR) images. Soil burn severity classifications using a weighted brightness (WB) image and Char Index (CI) generated from UAS imagery were validated with in-situ data and random stratified points, resulting in the CI having the highest overall accuracy of 87.5%. CI also displayed a marginally stronger relationship over the WB with the post-fire Sentinel-2 NBR, R2 = 0.79 and R2 = 0.78 respectively. Our methods offer the unique opportunity to standardize GIS workflows, promoting replication through transparency, while improving the user's understanding of scientific GIS functionality.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2023.105903","usgsCitation":"Von Nonn, J.W., Villarreal, M.L., Blesius, L., Davis, J.D., and Corbett, S.C., 2024, An open-source workflow for scaling burn severity metrics from drone to satellite to support post-fire watershed management: Environmental Modelling & Software, v. 172, 105903, 13 p., https://doi.org/10.1016/j.envsoft.2023.105903.","productDescription":"105903, 13 p.","ipdsId":"IP-155403","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":440961,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2023.105903","text":"Publisher Index Page"},{"id":435079,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LTJQUC","text":"USGS data release","linkHelpText":"UASsbs - Classifying UAS soil burn severity and scaling up to satellite with Python"},{"id":423383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.56453869295964,\n 38.47017109042332\n ],\n [\n -122.56453869295964,\n 38.12528904182068\n ],\n [\n -122.02620861483481,\n 38.12528904182068\n ],\n [\n -122.02620861483481,\n 38.47017109042332\n ],\n [\n -122.56453869295964,\n 38.47017109042332\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"172","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Von Nonn, Joshua W. 0009-0003-7251-7308","orcid":"https://orcid.org/0009-0003-7251-7308","contributorId":332293,"corporation":false,"usgs":true,"family":"Von Nonn","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":889934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":889935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blesius, Leonhard","contributorId":332295,"corporation":false,"usgs":false,"family":"Blesius","given":"Leonhard","email":"","affiliations":[{"id":32962,"text":"SFSU","active":true,"usgs":false}],"preferred":false,"id":889936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Jerry D.","contributorId":196609,"corporation":false,"usgs":false,"family":"Davis","given":"Jerry","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":889937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corbett, Skye C. 0000-0003-3277-1021 scorbett@usgs.gov","orcid":"https://orcid.org/0000-0003-3277-1021","contributorId":200617,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye","email":"scorbett@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":889938,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250440,"text":"70250440 - 2024 - Hyperspectral (VNIR-SWIR) analysis of roll front uranium host rocks and industrial minerals from Karnes and Live Oak Counties, Texas Coastal Plain","interactions":[],"lastModifiedDate":"2023-12-09T14:44:29.728919","indexId":"70250440","displayToPublicDate":"2023-12-06T08:38:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Hyperspectral (VNIR-SWIR) analysis of roll front uranium host rocks and industrial minerals from Karnes and Live Oak Counties, Texas Coastal Plain","docAbstract":"

VNIR-SWIR (400–2500 nm) reflectance measurements were made on the surfaces of various cores, cuttings and sample splits of sedimentary rocks from the Tertiary Jackson Group, and Catahoula, Oakville and Goliad Formations. These rocks vary in composition and texture from mudstone and claystone to sandstone and are known host rocks for roll front uranium occurrences in Karnes and Live Oak Counties, Texas. Spectral reflectance profiles, 569 in total, were reduced to 125 representative spectral signatures, which were analyzed using the U.S. Geological Survey's (USGS) Material Identification and Characterization Algorithm (MICA). MICA uses an automated continuum-removal procedure together with a least-squares linear regression to determine the fit of observed sample spectral absorption features to those of reference mineral standards in a spectral library. The reference minerals include various clay, mica, carbonate, ferric and ferrous iron minerals and their mixtures. In addition, absorption feature band-depth analysis was done to identify rock surfaces exhibiting absorption features related to uranium and zeolite minerals, which were not included in the command files used to execute MICA.

Rocks from each of the four geologic units produced broadly similar spectral signatures as a result of comparable mineral compositions, but there were some notable differences. For example, Ca- and Na-montmorillonite was matched most frequently to the spectral absorption features in 2-μm (∼2000–2500 nm) wavelengths, while goethite occurred often at 1-μm (∼400–1000 nm) wavelengths. The latter is related to limonitic iron-staining in and around oxidized zones of the uranium roll front as described in previous papers. Rocks of the Jackson Group differed from those of the Catahoula, Oakville and Goliad units in that the former exhibited spectral features we interpret as being due to the presence of lignite-bearing mudstone layers. Goliad rocks exhibit spectral features related to dolomite, gypsum, anhydrite, and an unidentified green clay mineral that is possibly glauconite. Jackson Group rocks also exhibit weak but well-resolved absorption features at 964 and 1157 nm related to either or both zeolite minerals clinoptilolite and heulandite. These zeolite minerals and a few spectra exhibiting hydrous silica absorption features are indicative of alteration of volcanic glass in tuffaceous mudstone and claystone layers. A few sample spectra exhibited strong absorption features at around 1135 nm related to the uranium mineral coffinite. Both the 1135 nm coffinite and 1157 nm zeolite absorption features overlap somewhat, potentially making them difficult to distinguish without additional hyperspectral field, laboratory or remote sensing data.

The results of this study were compared to mixtures of minerals described for ore, gangue and alteration minerals in deposit models for sandstone-hosted uranium, sedimentary bentonite and sedimentary zeolite. Use of these spectra can help facilitate mapping of both waste materials from the legacy mining of the above commodities, as well as future exploration and resource assessment activities.

","language":"English","publisher":"Elsever","doi":"10.1016/j.gexplo.2023.107370","usgsCitation":"Hubbard, B.E., Gallegos, T., Stengel, V.G., Hoefen, T.M., Kokaly, R.F., and Elliott, B., 2024, Hyperspectral (VNIR-SWIR) analysis of roll front uranium host rocks and industrial minerals from Karnes and Live Oak Counties, Texas Coastal Plain: Journal of Geochemical Exploration, v. 257, 107370, 20 p., https://doi.org/10.1016/j.gexplo.2023.107370.","productDescription":"107370, 20 p.","ipdsId":"IP-136836","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":440969,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2023.107370","text":"Publisher Index Page"},{"id":423384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Karnes County, Live Oak County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-97.6145,29.1096],[-97.755,29.0056],[-97.5693,28.8157],[-97.7706,28.6717],[-97.7743,28.669],[-97.7812,28.6646],[-97.7847,28.6688],[-97.7882,28.6716],[-97.7929,28.6721],[-97.8267,28.6715],[-97.8276,28.6742],[-97.8291,28.6761],[-97.8353,28.679],[-97.8461,28.6824],[-97.8538,28.6839],[-97.859,28.6845],[-97.8637,28.6841],[-97.8641,28.6874],[-97.8682,28.6902],[-97.8795,28.6932],[-97.8913,28.6998],[-97.8954,28.7013],[-97.8975,28.7032],[-97.8995,28.7055],[-97.8989,28.7073],[-97.8999,28.7092],[-97.9035,28.7116],[-97.9127,28.7168],[-97.9189,28.7187],[-98.0037,28.6896],[-98.0894,28.6599],[-98.0167,28.5323],[-97.8084,28.1788],[-97.8136,28.1757],[-97.8896,28.1253],[-97.8991,28.1185],[-97.9007,28.1167],[-97.9018,28.1135],[-97.9008,28.1108],[-97.9009,28.1071],[-97.902,28.1048],[-97.9047,28.0998],[-97.9059,28.0934],[-97.9041,28.0846],[-97.9021,28.079],[-97.9013,28.0726],[-97.8988,28.0684],[-97.8963,28.0646],[-97.8943,28.0609],[-97.8923,28.0595],[-98.2338,28.0607],[-98.3343,28.06],[-98.3358,28.4775],[-98.336,28.4982],[-98.3363,28.6117],[-98.099,28.7882],[-98.1879,28.8807],[-97.7292,29.224],[-97.6145,29.1096]]]},\"properties\":{\"name\":\"Karnes\",\"state\":\"TX\"}}]}","volume":"257","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hubbard, Bernard E. 0000-0002-9315-2032","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":213146,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":889919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":206859,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":889920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stengel, Victoria G. 0000-0003-0481-3159 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0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":889923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Brent","contributorId":148952,"corporation":false,"usgs":false,"family":"Elliott","given":"Brent","email":"","affiliations":[{"id":17599,"text":"Texas Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":889924,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250377,"text":"70250377 - 2024 - Evaluation of anticoagulant rodenticide sensitivity by examining in vivo and in vitro responses in avian species, focusing on raptors","interactions":[],"lastModifiedDate":"2023-12-06T13:15:47.971721","indexId":"70250377","displayToPublicDate":"2023-12-05T07:04:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of anticoagulant rodenticide sensitivity by examining in vivo and in vitro responses in avian species, focusing on raptors","docAbstract":"

Anticoagulant rodenticides (ARs) are used to control pest rodent species but can result in secondary poisoning of non-target animals, especially raptors. In the present study, differences in AR sensitivity among avian species were evaluated by comparing in vivo warfarin pharmacokinetics and effects, measuring cytochrome P450s (CYPs) expression involved in AR metabolism, and conducting in vitro inhibition assays of the AR target enzyme Vitamin K 2,3-epoxide reductase (VKOR). Oral administration of warfarin at 4 mg/kg body weight did not prolong prothrombin time in chickens (Gallus gallus), rock pigeons (Columba livia), or Eastern buzzards (Buteo japonicus). Rock pigeons and buzzards exhibited shorter plasma half-life of warfarin compared to chickens. For the metabolite analysis, 4′-hydroxywarfarin was predominantly detected in all birds, while 10-hydroxywarfarin was only found in pigeons and raptors, indicating interspecific differences in AR metabolism among birds likely due to differential expression of CYP enzymes involved in the metabolism of ARs and variation of VKOR activities among these avian species. The present findings, and results of our earlier investigations, demonstrate pronounced differences in AR sensitivity and pharmacokinetics among bird species, and in particular raptors. While ecological risk assessment and mitigation efforts for ARs have been extensive, AR exposure and adverse effects in predatory and scavenging wildlife continues. Toxicokinetic and toxicodynamic data will assist in such risk assessments and mitigation efforts.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2023.122837","usgsCitation":"Khidkhan, K., Yasuhira, F., Saengtienchai, A., Kasorndorkbua, C., Sitdhibutr, R., Ogasawara, K., Adachi, H., Watanabe, Y., Saito, K., Sakai, H., Horikoshi, K., Suzuki, H., Kawai, Y.K., Takeda, K., Yohannes, Y.B., Ikenaka, Y., Rattner, B., Ishizuka, M., and Nakayama, S., 2024, Evaluation of anticoagulant rodenticide sensitivity by examining in vivo and in vitro responses in avian species, focusing on raptors: Environmental Pollution, v. 341, 122837, 10 p., https://doi.org/10.1016/j.envpol.2023.122837.","productDescription":"122837, 10 p.","ipdsId":"IP-154657","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":440972,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2023.122837","text":"Publisher Index 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Aksorn","contributorId":332168,"corporation":false,"usgs":false,"family":"Saengtienchai","given":"Aksorn","email":"","affiliations":[{"id":79401,"text":"Hokkaido University, Japan","active":true,"usgs":false}],"preferred":false,"id":889612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kasorndorkbua, Chaiyan","contributorId":332169,"corporation":false,"usgs":false,"family":"Kasorndorkbua","given":"Chaiyan","email":"","affiliations":[{"id":79402,"text":"Kasetsart University, Thailand","active":true,"usgs":false}],"preferred":false,"id":889613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sitdhibutr, Ratiwan","contributorId":332170,"corporation":false,"usgs":false,"family":"Sitdhibutr","given":"Ratiwan","email":"","affiliations":[{"id":79402,"text":"Kasetsart University, Thailand","active":true,"usgs":false}],"preferred":false,"id":889614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ogasawara, Kohei","contributorId":332171,"corporation":false,"usgs":false,"family":"Ogasawara","given":"Kohei","email":"","affiliations":[{"id":79403,"text":"Institute for Raptor Biomedicine Japan, Hokkaido, Japan","active":true,"usgs":false}],"preferred":false,"id":889615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adachi, Hikaru","contributorId":332172,"corporation":false,"usgs":false,"family":"Adachi","given":"Hikaru","email":"","affiliations":[{"id":79404,"text":"Institute for Raptor Biomedicine Japan, Hokkaido, Japan","active":true,"usgs":false}],"preferred":false,"id":889616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Watanabe, Yukiko","contributorId":332173,"corporation":false,"usgs":false,"family":"Watanabe","given":"Yukiko","email":"","affiliations":[{"id":79404,"text":"Institute for Raptor Biomedicine Japan, Hokkaido, 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A.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":889626,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ishizuka, Mayumi","contributorId":332182,"corporation":false,"usgs":false,"family":"Ishizuka","given":"Mayumi","affiliations":[{"id":79401,"text":"Hokkaido University, Japan","active":true,"usgs":false}],"preferred":false,"id":889627,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Nakayama, Shouta","contributorId":332183,"corporation":false,"usgs":false,"family":"Nakayama","given":"Shouta","email":"","affiliations":[{"id":79401,"text":"Hokkaido University, Japan","active":true,"usgs":false}],"preferred":false,"id":889628,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"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":"

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.

","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 Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience 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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":70250498,"text":"70250498 - 2024 - Etiology of a fish kill, Including the endangered Tidewater Goby (Eucyclogobius newberryi), in a northeastern pacific coastal lagoon","interactions":[],"lastModifiedDate":"2024-04-10T15:48:58.718851","indexId":"70250498","displayToPublicDate":"2023-11-30T06:55:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Etiology of a fish kill, Including the endangered Tidewater Goby (Eucyclogobius newberryi), in a northeastern pacific coastal lagoon","title":"Etiology of a fish kill, Including the endangered Tidewater Goby (Eucyclogobius newberryi), in a northeastern pacific coastal lagoon","docAbstract":"

Ecological disturbances such as fish kills can negatively impact ecosystem processes in coastal lagoons. To gain an understanding of factors causing fish kills, we examined conditions associated with a summertime fish kill in a northeastern Pacific coastal lagoon (Rodeo Lagoon, CA, USA). Examination of available data indicated the fish kill was likely caused by hypoxia involving the following etiology: (1) strong onshore winds (up to 12 m/s) mixed a stratified water column, (2) water column mixing transported nutrients from near the bed into the photic zone, (3) increased nutrient concentrations in the photic zone (> 200%) together with high solar irradiance fueled a phytoplankton bloom, (4) death and decomposition of phytoplankton (72% decrease in abundance) contributed to biological oxygen demand that led to (5) hypoxic conditions (as low as 0.6 mg/L) that caused the fish kill. The event resulted in the death of an estimated 3677 Tidewater Goby (Eucyclogobius newberryi), a species listed as endangered under the US Endangered Species Act, and numerous (but not enumerated) Threespine Stickleback (Gasterosteus aculeatus), unidentified sculpins (Cottidae), and macroinvertebrates (primarily Amphipoda). The processes contributing to the event are likely re-occurring phenomena responsible for observed periodic fish kills. Coastal lagoons with limited freshwater inflows and connection to the Pacific Ocean may retain nutrients and be susceptible to similar events.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-023-01300-z","usgsCitation":"Feyrer, F.V., Young, M.J., Kraus, T.E., Stumpner, E., Fong, D., and Carpenter, K.D., 2024, Etiology of a fish kill, Including the endangered Tidewater Goby (Eucyclogobius newberryi), in a northeastern pacific coastal lagoon: Estuaries and Coasts, v. 47, p. 894-904, https://doi.org/10.1007/s12237-023-01300-z.","productDescription":"11 p.","startPage":"894","endPage":"904","ipdsId":"IP-152913","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":440990,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s12237-023-01300-z","text":"Publisher Index Page"},{"id":423574,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Rodeo Lagoon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.5466078363315,\n 37.83672221078564\n ],\n [\n -122.5466078363315,\n 37.82526551801783\n ],\n [\n -122.51879869326523,\n 37.82526551801783\n ],\n [\n -122.51879869326523,\n 37.83672221078564\n ],\n [\n -122.5466078363315,\n 37.83672221078564\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2023-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stumpner, Elizabeth B. 0000-0003-2356-2244","orcid":"https://orcid.org/0000-0003-2356-2244","contributorId":330616,"corporation":false,"usgs":false,"family":"Stumpner","given":"Elizabeth B.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":890169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fong, Darren 0000-0003-4863-470X","orcid":"https://orcid.org/0000-0003-4863-470X","contributorId":295967,"corporation":false,"usgs":false,"family":"Fong","given":"Darren","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":890170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carpenter, Kurt D. 0000-0002-6231-8335 kdcar@usgs.gov","orcid":"https://orcid.org/0000-0002-6231-8335","contributorId":127442,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt","email":"kdcar@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890171,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70251217,"text":"70251217 - 2024 - Integrated geologic and geophysical modeling across the Bartlett Springs fault zone, northern California (USA): Implications for fault creep and regional structure","interactions":[],"lastModifiedDate":"2024-01-30T12:53:40.420403","indexId":"70251217","displayToPublicDate":"2023-11-30T06:50:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Integrated geologic and geophysical modeling across the Bartlett Springs fault zone, northern California (USA): Implications for fault creep and regional structure","docAbstract":"

The rate and location at depth of fault creep are important, but difficult to characterize, parameters needed to assess seismic hazard. Here we take advantage of the magnetic properties of serpentinite, a rock type commonly associated with fault creep, to model its depth extent along the Bartlett Springs fault zone, an important part of the San Andreas fault system north of the San Francisco Bay, California (western United States). We model aeromagnetic and gravity anomalies using geologic constraints along 14 cross sections over a distance of 120 km along the fault zone. Our results predict that the fault zone has more serpentinite at depth than inferred by geologic relationships at the surface. Existing geodetic models are inconsistent and predict different patterns of creep along the fault. Our results favor models with more extensive creep at depth. The source of the serpentinite appears to be ophiolite thrust westward and beneath the Franciscan Complex, an interpretation supported by the presence of antigorite, a high-temperature serpent ine mineral stable at depth, in fault gouge near Lake Pillsbury.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02684.1","usgsCitation":"Langenheim, V., McLaughlin, R., and Melosh, B.L., 2024, Integrated geologic and geophysical modeling across the Bartlett Springs fault zone, northern California (USA): Implications for fault creep and regional structure: Geosphere, v. 20, no. 1, p. 129-151, https://doi.org/10.1130/GES02684.1.","productDescription":"23 p.","startPage":"129","endPage":"151","ipdsId":"IP-151101","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":440993,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02684.1","text":"Publisher Index Page"},{"id":425100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.42932807554686,\n 42.33373418541973\n ],\n [\n -125.42932807554686,\n 33.98841352333858\n ],\n [\n -119.23303901304692,\n 33.98841352333858\n ],\n [\n -119.23303901304692,\n 42.33373418541973\n ],\n [\n -125.42932807554686,\n 42.33373418541973\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Langenheim, Victoria 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":207002,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","affiliations":[],"preferred":true,"id":893552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":211450,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":893553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melosh, Benjamin L. 0000-0002-8017-7193","orcid":"https://orcid.org/0000-0002-8017-7193","contributorId":217215,"corporation":false,"usgs":true,"family":"Melosh","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":893554,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250295,"text":"70250295 - 2024 - Organic layers preserved in ice patches: A new record of Holocene environmental change on the Beartooth Plateau, USA","interactions":[],"lastModifiedDate":"2024-02-26T16:04:44.934189","indexId":"70250295","displayToPublicDate":"2023-11-29T07:11:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Organic layers preserved in ice patches: A new record of Holocene environmental change on the Beartooth Plateau, USA","docAbstract":"
Growing season temperatures play a crucial role in controlling treeline elevation at regional to global scales. However, understanding of treeline dynamics in response to long-term changes in temperature is limited. In this study, we analyze pollen, plant macrofossils, and charcoal preserved in organic layers within a 10,400-year-old ice patch and in sediment from a 6000-year-old wetland located above present-day treeline in the Beartooth Mountains, Wyoming, to explore the relationship between Holocene climate variability and shifts in treeline elevation. Pollen data indicate a lower-than-present treeline between 9000 and 6200 cal yr BP during the warm, dry summer and cold winter conditions of the early Holocene. Increases in arboreal pollen at 6200 cal yr BP suggest an upslope treeline expansion when summers became cooler and wetter. A possible hiatus in the wetland record at ca. 4200–3000 cal yr BP suggests increased snow and ice cover at high elevations and a lowering of treeline. Treeline position continued to fluctuate with growing season warming and cooling during the late-Holocene. Periods of high fire activity correspond with times of increased woody cover at high elevations. The two records indicate that climate was an important driver of vegetation and treeline change during the Holocene. Early Holocene treeline was governed by moisture limitations, whereas late-Holocene treeline was sensitive to increases in growing season temperatures. Climate projections for the region suggest warmer temperatures could decrease effective growing season moisture at high elevations resulting in a reduction of treeline elevation.
","language":"English","publisher":"Sage","doi":"10.1177/09596836231211877","usgsCitation":"Alt, M., Puseman, K., Lee, C., Pederson, G.T., McConnell, J.R., Chellman, N.J., and McWethy, D.B., 2024, Organic layers preserved in ice patches: A new record of Holocene environmental change on the Beartooth Plateau, USA: The Holocene, v. 34, no. 3, p. 338-352, https://doi.org/10.1177/09596836231211877.","productDescription":"15 p.","startPage":"338","endPage":"352","ipdsId":"IP-156102","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":423143,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Beartooth Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.82793355737172,\n 45.63575734303586\n ],\n [\n -110.82793355737172,\n 44.20447170280954\n ],\n [\n -108.69658590112155,\n 44.20447170280954\n ],\n [\n -108.69658590112155,\n 45.63575734303586\n ],\n [\n -110.82793355737172,\n 45.63575734303586\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Alt, Mio","contributorId":237993,"corporation":false,"usgs":false,"family":"Alt","given":"Mio","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":889328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puseman, Kathryn","contributorId":332060,"corporation":false,"usgs":false,"family":"Puseman","given":"Kathryn","email":"","affiliations":[{"id":79366,"text":"Paleoscapes Archaeobotanical Services Team LLC","active":true,"usgs":false}],"preferred":false,"id":889329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Craig","contributorId":250716,"corporation":false,"usgs":false,"family":"Lee","given":"Craig","email":"","affiliations":[{"id":50230,"text":"University of Colorado, Institute of Arctic and Alpine Research (INSTAAR), Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":889330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McConnell, Joseph R. 0000-0001-9051-5240","orcid":"https://orcid.org/0000-0001-9051-5240","contributorId":288526,"corporation":false,"usgs":false,"family":"McConnell","given":"Joseph","email":"","middleInitial":"R.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":889332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chellman, Nathan J.","contributorId":140597,"corporation":false,"usgs":false,"family":"Chellman","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":889333,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McWethy, David B.","contributorId":207232,"corporation":false,"usgs":false,"family":"McWethy","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":889334,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70254312,"text":"70254312 - 2024 - Global seismic networks operated by the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2024-05-17T12:06:38.850435","indexId":"70254312","displayToPublicDate":"2023-11-29T07:03:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Global seismic networks operated by the U.S. Geological Survey","docAbstract":"

The U.S. Geological Survey (USGS) Global Seismographic Network (GSN) Program operates two thirds of the GSN, a network of state‐of‐the‐art, digital seismological and geophysical sensors with digital telecommunications. This network serves as a multiuse scientific facility and a valuable resource for research, education, and monitoring. The other one third of the GSN is funded by the National Science Foundation (NSF), and the operations of this component are overseen by EarthScope. This collaboration between the USGS, EarthScope, and NSF has allowed for the development and operations of the GSN to be a truly multiuse network that provides near real‐time open access data, facilitating fundamental discoveries by the Earth science community, supporting the earthquake hazards mission of the USGS, benefitting tsunami monitoring by the National Oceanic and Atmospheric Administration, and contributing to nuclear test monitoring and treaty verification. In this article, we describe the installation and evolution of the seismic networks operated by the USGS that ultimately led to the USGS portion of the GSN (100 stations under network codes IU, IC, and CU) as they are today and envision technological advances and opportunities to further improve the utility of the network in the future. This article focuses on the USGS‐operated component of the GSN; a companion article on the GSN stations funded by the NSF and operated by the Cecil and Ida Green Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California at San Diego by Davis et al. (2023) appears in this volume.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230178","usgsCitation":"Wilson, D.C., Hutt, C.R., Gee, L., Ringler, A.T., and Anthony, R.E., 2024, Global seismic networks operated by the U.S. Geological Survey: Seismological Research Letters, v. 95, no. 3, p. 1578-1590, https://doi.org/10.1785/0220230178.","productDescription":"13 p.","startPage":"1578","endPage":"1590","ipdsId":"IP-154068","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":428794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":900954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Charles R.","contributorId":336749,"corporation":false,"usgs":false,"family":"Hutt","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":900958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gee, Lind 0000-0003-2883-9847 lgee@usgs.gov","orcid":"https://orcid.org/0000-0003-2883-9847","contributorId":193064,"corporation":false,"usgs":true,"family":"Gee","given":"Lind","email":"lgee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":900957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":900955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":900956,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256547,"text":"70256547 - 2024 - Accounting for spatiotemporal sampling variation in joint species distribution models","interactions":[],"lastModifiedDate":"2024-08-15T23:18:14.436197","indexId":"70256547","displayToPublicDate":"2023-11-28T18:14:56","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":"Accounting for spatiotemporal sampling variation in joint species distribution models","docAbstract":"
  1. Estimating relative abundance is critical for informing conservation and management efforts and for making inferences about the effects of environmental change on populations. Freshwater fisheries span large geographic regions, occupy diverse habitats and consist of varying species assemblages. Monitoring schemes used to sample these diverse populations often result in populations being sampled at different times and under different environmental conditions. Varying sampling conditions can bias estimates of abundance when compared across time, location and species, and properly accounting for these biases is critical for making inferences.
  2. We develop a joint species distribution model (JSDM) that accounts for varying sampling conditions due to the environment and time of sampling when estimating relative abundance. The novelty of our JSDM is that we explicitly model sampling effort as the product of known quantities based on time and gear type and an unknown functional relationship to capture seasonal variation in species life history.
  3. We use the model to study relative abundance of six freshwater fish species across the state of Minnesota, USA. Our model enables estimates of relative abundance to be compared both within and across species and lakes, and captures the inconsistent sampling present in the data. We discuss how gear type, water temperature and day of the year impact catchability for each species at the lake level and throughout a year. We compare our estimates of relative abundance to those obtained from a model that assumes constant catchability to highlight important differences within and across lakes and species.
  4. Synthesis and applications: Our method illustrates that assumptions relating indices of abundance to observed catch data can greatly impact model inferences derived from JSDMs. Specifically, not accounting for varying sampling conditions can bias inference of relative abundance, restricting our ability to detect responses to management interventions and environmental change. While our focus is on freshwater fisheries, this model architecture can be adopted to other systems where catchability may vary as a function of space, time and species.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14547","usgsCitation":"North, J., Schliep, E., Hansen, G., Kundel, H., Custer, C., McLaughlin, P., and Wagner, T., 2024, Accounting for spatiotemporal sampling variation in joint species distribution models: Journal of Applied Ecology, v. 61, no. 1, p. 186-201, https://doi.org/10.1111/1365-2664.14547.","productDescription":"16 p.","startPage":"186","endPage":"201","ipdsId":"IP-138795","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440999,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2664.14547","text":"External Repository"},{"id":432792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"North, Joshua S.","contributorId":341084,"corporation":false,"usgs":false,"family":"North","given":"Joshua S.","affiliations":[{"id":81700,"text":"146 Middlebush Hall, Columbia, MO, 65211","active":true,"usgs":false}],"preferred":false,"id":907921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schliep, Erin M.","contributorId":341085,"corporation":false,"usgs":false,"family":"Schliep","given":"Erin M.","affiliations":[{"id":81700,"text":"146 Middlebush Hall, Columbia, MO, 65211","active":true,"usgs":false}],"preferred":false,"id":907922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J.A.","contributorId":341086,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen J.A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kundel, Holly","contributorId":341087,"corporation":false,"usgs":false,"family":"Kundel","given":"Holly","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Custer, Christopher A.","contributorId":341088,"corporation":false,"usgs":false,"family":"Custer","given":"Christopher A.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":907925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLaughlin, Paul","contributorId":341089,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Paul","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":907926,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907927,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70255155,"text":"70255155 - 2024 - Imperfect detection and misidentification affect inferences from data informing water operation decisions","interactions":[],"lastModifiedDate":"2024-06-13T17:01:29.893417","indexId":"70255155","displayToPublicDate":"2023-11-23T11:56:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Imperfect detection and misidentification affect inferences from data informing water operation decisions","docAbstract":"

Objective

Managers can modify river flow regimes using fish monitoring data to minimize impacts from water management infrastructure. For example, operation of the gate-controlled Delta Cross Channel (DCC) in California can negatively affect the endangered Sacramento River winter-run Chinook Salmon Oncorhynchus tshawytscha. Although guidelines have been developed for DCC operations by using real-time juvenile fish sampling count data, there is uncertainty about how environmental conditions influence fish occupancy and the extent to which those relationships are affected by sampling and identification error.

Methods

We evaluated the effect of environmental conditions, imperfect detection, and misidentification error on salmon occupancy by analyzing data using hierarchical multistate occupancy models. A total of 14,147 trawl tows and beach seine hauls were conducted on 1058 sampling days between October and December from 1996 to 2019. During these surveys, 2803 juvenile winter-run Chinook Salmon were identified, and approximately 29% of the sampling days had at least one winter-run juvenile detected.

Result

The probability of misidentifying an individual juvenile winter-run Chinook Salmon in the field was estimated to be 0.056 based on fish identification examinations and genetic sampling. Occupancy varied considerably and was related to flow characteristics, water clarity, weather, time of year, and whether occupancy was detected during the previous sampling day. However, these relationships and their significance changed considerably when accounting for imperfect detection and the probability of misidentifying individual juvenile salmon. Detection was <0.3 under average sampling conditions during a single sample and was influenced by flow, water clarity, site, and volume sampled.

Conclusion

Our modeling results indicate that DCC gate closure decisions could occur on fewer days when imperfect detection and misidentification error are not accounted for. These findings demonstrate the need to account for identification and detection error while using monitoring data to assess factors influencing fish occupancy and inform future management decisions.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10974","usgsCitation":"Kirsch, J., Peterson, J., Duarte, A., Goodman, D., Goodman, A., Hugentobler, S., Meek, M., Perry, R., Smith, L., and Stuart, J., 2024, Imperfect detection and misidentification affect inferences from data informing water operation decisions: North American Journal of Fisheries Management, v. 44, no. 2, p. 335-358, https://doi.org/10.1002/nafm.10974.","productDescription":"24 p.","startPage":"335","endPage":"358","ipdsId":"IP-146813","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10974","text":"Publisher Index Page"},{"id":430148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kirsch, Joseph E.","contributorId":338806,"corporation":false,"usgs":false,"family":"Kirsch","given":"Joseph E.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":903620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodman, Denise","contributorId":339306,"corporation":false,"usgs":false,"family":"Goodman","given":"Denise","email":"","affiliations":[],"preferred":false,"id":904033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goodman, Andrew","contributorId":338810,"corporation":false,"usgs":false,"family":"Goodman","given":"Andrew","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hugentobler, Sara","contributorId":338812,"corporation":false,"usgs":false,"family":"Hugentobler","given":"Sara","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":903622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meek, Mariah","contributorId":260835,"corporation":false,"usgs":false,"family":"Meek","given":"Mariah","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":903623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perry, Russell W. 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220177,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":903624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Lori","contributorId":338817,"corporation":false,"usgs":false,"family":"Smith","given":"Lori","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903625,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stuart, Jeffrey","contributorId":338821,"corporation":false,"usgs":false,"family":"Stuart","given":"Jeffrey","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":903626,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70251077,"text":"70251077 - 2024 - Landscape configuration alters movement behavior and space-use of a Hawaiian forest bird community","interactions":[],"lastModifiedDate":"2024-01-21T22:23:51.731039","indexId":"70251077","displayToPublicDate":"2023-11-22T16:22:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape configuration alters movement behavior and space-use of a Hawaiian forest bird community","docAbstract":"

Habitat loss and fragmentation are considered the greatest threats to ecosystems worldwide. Movement reveals how individuals meet their habitat requirements and respond to environmental heterogeneity, and thus can provide a powerful tool for investigating how animals respond to changes in landscape configuration. In our study, we examined the effects of landscape configuration on the space use and movement strategies of four endemic Hawaiian forest bird species spanning a range of foraging guilds (i.e. frugivore, nectivore, generalist). We used a landscape-level automated radio tracking system to measure location data of 127 individuals tracked on Hawaiʻi Island in a naturally fragmented landscape created by volcanic activity in the mid- to late-1800s and a nearby continuous landscape. We found that landscape configuration had a strong effect on movement patterns and space-use of all four species. In the fragmented landscape, all species predominately occupied a single forest patch, displayed a high degree of area-restricted search behavior, with few long-distance movements away from their primary forest patch. These patterns contrasted significantly with those of conspecifics in the continuous landscape which exhibited relatively unconstrained movements across the forested landscape and had 3- to 12-fold larger home ranges. Our findings indicate that landscape structure plays a strong role in shaping movement behavior of a tropical bird community and provides valuable insights into the behavioral mechanisms that may be important for species to persist within fragmented landscapes.

","language":"English","publisher":"Nordic Society Oikos","doi":"10.1111/jav.03117","usgsCitation":"Paxton, K.L., Smetzer, J.R., Hart, P.J., Anderson, M.J., and Paxton, E.H., 2024, Landscape configuration alters movement behavior and space-use of a Hawaiian forest bird community: Journal of Avian Biology, v. 2024, no. 1-2, e03117, 13 p., https://doi.org/10.1111/jav.03117.","productDescription":"e03117, 13 p.","ipdsId":"IP-132855","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":441012,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jav.03117","text":"Publisher Index Page"},{"id":435086,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MGXHLZ","text":"USGS data release","linkHelpText":"Hawaii Island forest bird movement data from 2014 to 2019"},{"id":424668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2024","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":892986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smetzer, Jennifer R","contributorId":255352,"corporation":false,"usgs":false,"family":"Smetzer","given":"Jennifer","email":"","middleInitial":"R","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":892987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":892988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Marti J","contributorId":301133,"corporation":false,"usgs":false,"family":"Anderson","given":"Marti","email":"","middleInitial":"J","affiliations":[{"id":65317,"text":"New Zealand Institute for Advanced Study","active":true,"usgs":false}],"preferred":false,"id":892989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":892990,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252117,"text":"70252117 - 2024 - Arizona Groundwater Explorer: Interactive maps for evaluating the historical and current groundwater conditions in wells in Arizona, USA","interactions":[],"lastModifiedDate":"2024-03-15T14:33:00.87352","indexId":"70252117","displayToPublicDate":"2023-11-22T09:30:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Arizona Groundwater Explorer: Interactive maps for evaluating the historical and current groundwater conditions in wells in Arizona, USA","docAbstract":"

Groundwater is an important water source in Arizona, accounting for about 41% of water use in this mostly arid-to-semiarid state in the southwestern United States, and the availability of groundwater resources in the state is a concern. To provide accessible information from depth-to-groundwater data, a series of web-based interactive maps were developed, called the Arizona Groundwater Explorer (AGEx). Scripts were written to harmonize and synthesize groundwater datasets from the two largest publicly available sources, subset these data to address different groundwater availability questions, and display the results in online, interactive maps. The combined dataset contained 1,820,122 depth-to-groundwater measurements from 1891 through 2022 from 41,918 wells in Arizona. Data views are provided for 20 topics, including recent (2020 or later) depth to groundwater (4,569 wells), historical (pre-1950) depth to groundwater (4,287 wells), wells with long-term (≥50 years) records (1,183 wells), wells with recent groundwater level decline (277 wells), wells with recent groundwater level rise (120 wells), and linear trends in groundwater levels over ten 10-year periods (number of wells ranging from 341 in 1978–1987 to 1,208 in 2003–2012), among others. With ongoing drought in the region resulting in declining surface-water supplies in Arizona, groundwater may play an even larger role in satisfying water needs in the state. The AGEx series of maps provides a nonspecialist audience with an improved understanding of historical, current, and changes in groundwater levels in Arizona.

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\"}}]}","volume":"32","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flynn, Marilyn E. 0009-0009-5192-4389 meflynn@usgs.gov","orcid":"https://orcid.org/0009-0009-5192-4389","contributorId":305562,"corporation":false,"usgs":true,"family":"Flynn","given":"Marilyn","email":"meflynn@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70252539,"text":"70252539 - 2024 - Understanding marsh elevation and accretion processes and vulnerability to rising sea levels across climatic and geomorphic gradients in California, USA","interactions":[],"lastModifiedDate":"2024-08-26T14:33:56.464304","indexId":"70252539","displayToPublicDate":"2023-11-22T06:53:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Understanding marsh elevation and accretion processes and vulnerability to rising sea levels across climatic and geomorphic gradients in California, USA","docAbstract":"

Tidal marshes build elevations by below- and aboveground organic and mineral soil processes. Marsh elevation and accretion data can be used to determine if marshes are keeping pace with sea-level rise. Using a network of 54 deep rod surface elevation tables with paired feldspar marker horizon plots, we tracked elevation and accretion trends across 16 marshes in California, USA. All sites had overall positive gains across years that included severe drought conditions and extreme rain events. Marsh elevation relative to tidal datum (z*) was the key predictor for elevation and accretion rates, with higher change rates at lower z* sites. Marsh sites are clustered into three regional groups (Northern California, San Francisco Bay area, and Southern California), primarily defined by maximum temperature and annual rainfall differences. Elevation, accretion, and shallow subsidence rates were not significantly different between clusters, but their explanatory variables did vary. High-temperature days were a key predictor for elevation, accretion, and shallow subsidence rates in the state-wide analysis and San Francisco Bay regional analysis. The largest elevation gains were observed in the San Francisco Bay-Delta and some of the smallest in Humboldt Bay, with Morro Bay having the lowest accretion rate overall. Central and Southern California marshes were keeping pace or out-pacing sea-level rise, while none of the Humboldt Bay marshes were keeping pace. Marsh surface elevation data can inform management intervention and be a leading indicator for sea-level rise vulnerability. Long-term monitoring across geomorphic settings can help inform management and anticipate marsh change.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-023-01298-4","usgsCitation":"Thorne, K., Bristow, M.L., Rankin, L.L., Kovalenko, K., Neville, J.A., Freeman, C., and Guntenspergen, G.R., 2024, Understanding marsh elevation and accretion processes and vulnerability to rising sea levels across climatic and geomorphic gradients in California, USA: Estuaries and Coasts, v. 47, p. 1972-1992, https://doi.org/10.1007/s12237-023-01298-4.","productDescription":"21 p.","startPage":"1972","endPage":"1992","ipdsId":"IP-158356","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":427203,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.94920754020215,\n 38.46449084609395\n ],\n [\n -122.94920754020215,\n 37.215169912718494\n ],\n [\n -121.45506691520202,\n 37.215169912718494\n ],\n [\n -121.45506691520202,\n 38.46449084609395\n ],\n [\n -122.94920754020215,\n 38.46449084609395\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bristow, McKenna Leigh 0000-0003-2284-1380","orcid":"https://orcid.org/0000-0003-2284-1380","contributorId":330403,"corporation":false,"usgs":true,"family":"Bristow","given":"McKenna","middleInitial":"Leigh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rankin, Lyndsay L. 0000-0003-4968-1946","orcid":"https://orcid.org/0000-0003-4968-1946","contributorId":332147,"corporation":false,"usgs":true,"family":"Rankin","given":"Lyndsay","email":"","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kovalenko, Katya E.","contributorId":275052,"corporation":false,"usgs":false,"family":"Kovalenko","given":"Katya E.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":897451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neville, Justine Annaliese 0000-0003-3160-5363","orcid":"https://orcid.org/0000-0003-3160-5363","contributorId":329739,"corporation":false,"usgs":true,"family":"Neville","given":"Justine","email":"","middleInitial":"Annaliese","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":897452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, Chase M. 0000-0003-2284-1380","orcid":"https://orcid.org/0000-0003-2284-1380","contributorId":335090,"corporation":false,"usgs":false,"family":"Freeman","given":"Chase M.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":897453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":897454,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256490,"text":"70256490 - 2024 - Cisco population characteristics in Wisconsin lakes in relation to lake- and landscape-level factors","interactions":[],"lastModifiedDate":"2024-08-07T15:47:33.915238","indexId":"70256490","displayToPublicDate":"2023-11-20T10:41:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Cisco population characteristics in Wisconsin lakes in relation to lake- and landscape-level factors","docAbstract":"

Objective

Declines in Cisco Coregonus artedi populations in some inland lakes have prompted assessments of Cisco occurrence and extirpation risk in relation to various stressors to identify refuge lakes and factors that promote Cisco persistence. However, most previous assessments have focused on presence–absence of Cisco rather than examining how population characteristics, such as relative abundance or growth, might change in relation to lake- and landscape-level environmental factors. Consequently, our specific objectives were to identify important environmental factors explaining variation in Cisco relative abundance and growth and to determine whether population metrics describing size and age distributions were related to relative abundance in Wisconsin inland lakes.

Methods

Cisco were collected from 48 inland Wisconsin lakes during 2011–2015 using vertical monofilament gill nets and population-specific relative abundance estimates (catch per unit effort [CPUE]) were quantified as the number of individuals per gill-net night. Sagittal otoliths were removed from a subsample of Cisco for age estimation and growth was indexed as mean total length (TL; mm) at age 2. Length and age data were used to develop a suite of metrics describing size and age distributions of each population. Random forest models were used to evaluate relationships between 10 biologically relevant predictor variables representing variation in physical, climatic, catchment, and limnological characteristics and Cisco CPUE and growth. Pearson correlations were used to determine whether population characteristics were related to CPUE.

Result

Cisco populations exhibited large variation in relative abundance, growth, and size and age distributions. Best-fit random forest models explained approximately 25% of the variation in Cisco CPUE and 46% of the variation in growth. Growing degree-days and variables associated with availability, quality, and quantity of suitable oxythermal conditions were identified as important predictors of both Cisco CPUE and growth; CPUE was also identified as an important predictor of growth. Mean TL and mean TL at age 2 were negatively related to Cisco CPUE, whereas mean age, number of age-classes present, and maximum observed age were positively related to CPUE.

Conclusion

Our results suggest that maintenance of suitable oxythermal habitat conditions may be critical to conserving abundant Cisco populations. Our assessment also provides insights on how Cisco populations may respond to environmental and anthropogenic stressors, which could aid ongoing and future conservation and management efforts in Wisconsin and elsewhere.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10449","collaboration":"Wisconsin Department of Natural Resources","usgsCitation":"Dembkowski, D., Shrovnal, J.S., Parks, T.P., Sass, G., Lyons, J., and Isermann, D.A., 2024, Cisco population characteristics in Wisconsin lakes in relation to lake- and landscape-level factors: Transactions of the American Fisheries Society, v. 153, no. 1, p. 93-111, https://doi.org/10.1002/tafs.10449.","productDescription":"19 p.","startPage":"93","endPage":"111","ipdsId":"IP-151111","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":432343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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P.","contributorId":340869,"corporation":false,"usgs":false,"family":"Parks","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":81673,"text":"Wisconsin Department of Natural Resources, Bureau of Fisheries Management","active":true,"usgs":false}],"preferred":false,"id":907619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sass, Greg G.","contributorId":340870,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":907620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, John","contributorId":340871,"corporation":false,"usgs":false,"family":"Lyons","given":"John","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":907621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907622,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250145,"text":"70250145 - 2024 - Grizzly bear responses to restrictions of recreation in Yellowstone National Park","interactions":[],"lastModifiedDate":"2024-01-24T17:52:21.656037","indexId":"70250145","displayToPublicDate":"2023-11-20T09:37:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Grizzly bear responses to restrictions of recreation in Yellowstone National Park","docAbstract":"

Avoiding humans will be more difficult and energetically costly for animals as outdoor recreation increases and people venture farther into wildland areas that provide high-quality habitat for wildlife. Restricting human access can be an attractive management tool to mitigate effects of human recreation activities on wildlife; however, the efficacy of such measures is rarely assessed. In 1982, Yellowstone National Park identified areas important to grizzly bears (Ursus arctos) to help protect critical grizzly bear habitat and reduce the likelihood of human injuries by bears. Referred to as bear management areas (BMAs), human access is restricted in these areas for 2–8 months each year, with timing and type of restrictions varying by area. We examined 2 datasets to evaluate grizzly bear selection of BMAs and differences of bear density in BMAs and non-BMAs. First, we used 17 years of recent global positioning system telemetry data for grizzly bears to assess their selection of BMAs during periods when human access was allowed, and when access was restricted. We used step-selection functions to test the hypothesis that bears spend time in places that allow them to avoid people and select quality food sources. There was support that grizzly bears differentially select for BMAs regardless of whether human access was restricted at the time, compared with areas outside BMAs, and that selection changed with sex and season. Only males during the summer and hyperphagic seasons changed their selection of BMAs based on whether access restrictions were in place, and overall, male bears preferred unrestricted BMAs (BMAs without restrictions in place). Females preferentially selected BMAs regardless of whether the area had access restrictions in place only during the mating season. Individuals varied widely in their preference for BMAs and access restrictions. Bears likely choose to spend time in BMAs based on available food resources rather than restrictions to human access. Supporting this interpretation, our analyses indicated that a greater proportion of BMA in an area was associated with higher densities of grizzly bear. Thus, restrictions to human access likely help reduce the potential for human–bear interactions, accomplishing one of the original objectives for establishing the BMAs.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22527","usgsCitation":"Loggers, E., Litt, A.R., van Manen, F.T., Haroldson, M.A., and Gunther, K.A., 2024, Grizzly bear responses to restrictions of recreation in Yellowstone National Park: Journal of Wildlife Management, v. 88, no. 2, e22527, 25 p., https://doi.org/10.1002/jwmg.22527.","productDescription":"e22527, 25 p.","ipdsId":"IP-154494","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441023,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22527","text":"Publisher Index Page"},{"id":422836,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.10748291015625,\n 44.12702800650004\n ],\n [\n -109.98138427734375,\n 44.1289994645142\n ],\n [\n -109.98687744140624,\n 44.33367180085156\n ],\n [\n -110.03631591796875,\n 44.34152959888481\n ],\n [\n -110.04730224609375,\n 44.3906169787868\n ],\n [\n -110.00885009765625,\n 44.422011314236634\n ],\n [\n -109.98138427734375,\n 44.50825885600572\n ],\n [\n -110.028076171875,\n 44.52196830685208\n ],\n [\n -110.1104736328125,\n 44.50825885600572\n ],\n [\n -110.12969970703125,\n 44.53371669765759\n ],\n [\n -110.07476806640625,\n 44.56503415498704\n ],\n [\n -110.0225830078125,\n 44.58655513209543\n ],\n [\n -109.84954833984375,\n 44.61784415342067\n ],\n [\n -109.80010986328124,\n 44.71161010858431\n ],\n [\n -109.84405517578125,\n 44.75258502192499\n ],\n [\n -109.90997314453125,\n 44.813018740612776\n ],\n [\n -109.9127197265625,\n 44.89868701215517\n ],\n [\n -109.9346923828125,\n 44.97839955494438\n ],\n [\n -109.96490478515625,\n 45.017243565102596\n ],\n [\n -110.00885009765625,\n 45.06770141120143\n ],\n [\n -110.06378173828125,\n 45.05412098425883\n ],\n [\n -110.13519287109374,\n 45.042478050891546\n ],\n [\n -110.69549560546874,\n 45.04053733158769\n ],\n [\n -110.775146484375,\n 45.079339209738094\n ],\n [\n -110.82183837890625,\n 45.06964120886863\n ],\n [\n -110.86578369140625,\n 45.04635929200553\n ],\n [\n -110.89874267578124,\n 45.0502402697946\n ],\n [\n -110.928955078125,\n 45.08127861241874\n ],\n [\n -110.9619140625,\n 45.09679146394738\n ],\n [\n -111.005859375,\n 45.10842333769411\n ],\n [\n -111.0333251953125,\n 45.10260769705975\n ],\n [\n -111.060791015625,\n 45.10066901851988\n ],\n [\n -111.0992431640625,\n 45.11811475546806\n ],\n [\n -111.126708984375,\n 45.120052841530516\n ],\n [\n -111.15966796875,\n 45.089035564831036\n ],\n [\n -111.181640625,\n 45.059941562221226\n ],\n [\n -111.11846923828125,\n 45.01918507438176\n ],\n [\n -111.10748291015625,\n 44.12702800650004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Loggers, Elise","contributorId":331713,"corporation":false,"usgs":false,"family":"Loggers","given":"Elise","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":888556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":888557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":888558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":888559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":888560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254923,"text":"70254923 - 2024 - Coyotes in the Great Basin desert do not exhibit a spatial response following the removal of anthropogenic water sources","interactions":[],"lastModifiedDate":"2024-06-12T00:42:45.86269","indexId":"70254923","displayToPublicDate":"2023-11-19T19:41:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Coyotes in the Great Basin desert do not exhibit a spatial response following the removal of anthropogenic water sources","docAbstract":"

Coyote (Canis latrans) range expansion into desert ecosystems has highlighted the role of anthropogenic water sources in arid ecosystems. Despite hypotheses that additional water facilitated this expansion, previous studies reported that coyotes did not exhibit a spatial or dietary response to removal of anthropogenic water. We used GPS data to examine if coyotes responded to water removal at a finer spatial scale than previously investigated. Our integrated step selection analysis did not find evidence that coyotes adjusted their distance to water following water removal. Vegetation was an important factor in habitat selection of coyotes, with riparian and agricultural areas being the most selected among vegetation types. Coyotes selected for locations where hunting and trapping was prohibited. Possibly the cause of increased coyote abundance in our study area was not due to the introduction of anthropogenic water sources but rather due to the cessation of regional lethal predator control programs. These two management decisions both occurred in the 1970s, therefore, their influences on the subsequent increase of coyote abundance may have been conflated. Our results, in combination with previous studies, provide evidence that coyotes are desert-adapted carnivores that do not rely on anthropogenic water sources.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2023.105097","usgsCitation":"Pershyn, N., Gese, E., Stuber, E.F., and Kluever, B., 2024, Coyotes in the Great Basin desert do not exhibit a spatial response following the removal of anthropogenic water sources: Journal of Arid Environments, v. 220, 105097, https://doi.org/10.1016/j.jaridenv.2023.105097.","productDescription":"105097","ipdsId":"IP-155856","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2023.105097","text":"Publisher Index Page"},{"id":429939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pershyn, Nadine","contributorId":338001,"corporation":false,"usgs":false,"family":"Pershyn","given":"Nadine","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gese, Eric","contributorId":338002,"corporation":false,"usgs":false,"family":"Gese","given":"Eric","affiliations":[{"id":81067,"text":"USDS","active":true,"usgs":false}],"preferred":false,"id":902894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":902895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kluever, Brian","contributorId":338003,"corporation":false,"usgs":false,"family":"Kluever","given":"Brian","email":"","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":902896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250385,"text":"70250385 - 2024 - Toxicity of wildland fire retardants to rainbow trout in short exposures","interactions":[],"lastModifiedDate":"2024-01-25T14:34:47.068171","indexId":"70250385","displayToPublicDate":"2023-11-17T07:17:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of wildland fire retardants to rainbow trout in short exposures","docAbstract":"

Long-term wildland fire retardants are one important tool used to control and suppress wildfires. During suppression activities, these retardants may enter waterbodies; thus, there is a need to understand their potential effects to aquatic biota. We investigated the effect of three current-use wildland fire retardants to juvenile rainbow trout (Oncorhynchus mykiss) survival in short exposures more realistic to actual intrusion scenarios. Lethal effect concentrations decreased with time and varied among chemicals (LC95A-R > 259-Fx > MVP-Fx). The lowest effect concentrations observed were 2 to 10 times above the threshold used by federal agencies to assess potential impacts to aquatic organisms following a retardant intrusion. These data can be used by resource managers to balance wildfire control with potential environmental impacts of retardant use.

","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5791","usgsCitation":"Puglis, H.J., and Iacchetta, M.G., 2024, Toxicity of wildland fire retardants to rainbow trout in short exposures: Environmental Toxicology and Chemistry, v. 43, no. 2, p. 398-404, https://doi.org/10.1002/etc.5791.","productDescription":"7 p.","startPage":"398","endPage":"404","ipdsId":"IP-154881","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":441028,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5791","text":"Publisher Index Page"},{"id":435088,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RVM9AL","text":"USGS data release","linkHelpText":"Biological and chemical data from laboratory toxicity exposures of wildland fire retardants to Rainbow Trout"},{"id":423265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":889649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iacchetta, Michael G. 0000-0001-9459-1435","orcid":"https://orcid.org/0000-0001-9459-1435","contributorId":291394,"corporation":false,"usgs":true,"family":"Iacchetta","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":889650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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":"

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.

","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":70250630,"text":"70250630 - 2024 - Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho","interactions":[],"lastModifiedDate":"2023-12-21T13:04:55.028689","indexId":"70250630","displayToPublicDate":"2023-11-17T07:01:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho","docAbstract":"

The Snake River Plain (SRP) volcanic province overlies the track of the Yellowstone hotspot, a thermal anomaly that extends deep into the mantle. Most of the area is underlain by a basaltic volcanic province that overlies a mid-crustal intrusive complex, which in turn provides the long-term heat flux needed to sustain geothermal systems. Previous studies have identified several known geothermal resource areas within the SRP. For the geothermal study presented herein, our goals were to: (1) adapt the methodology of Play Fairway Analysis (PFA) for geothermal exploration to create a formal basis for its application to geothermal systems, (2) assemble relevant data for the SRP from publicly available and private sources, and (3) build a geothermal PFA model for the SRP and identify the most promising plays, using GIS-based software tools that are standard in the petroleum industry.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2023.102865","usgsCitation":"Shervais, J., DeAngelo, J., Glen, J.M., Nielson, D.L., Garg, S., Dobson, P., Gasperikova, E., Sonnenthal, E., Liberty, L.M., Newell, D.L., Siler, D.L., and Evans, J., 2024, Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho: Geothermics, v. 117, 102865, 18 p., https://doi.org/10.1016/j.geothermics.2023.102865.","productDescription":"102865, 18 p.","ipdsId":"IP-148317","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":441038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://scholarworks.boisestate.edu/geo_facpubs/793","text":"Publisher Index Page"},{"id":423835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.65263007713202,\n 44.08978176904034\n ],\n [\n -116.65263007713202,\n 42.23078197264857\n ],\n [\n -111.51102851463182,\n 42.23078197264857\n ],\n [\n -111.51102851463182,\n 44.08978176904034\n ],\n [\n -116.65263007713202,\n 44.08978176904034\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"117","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shervais, John W.","contributorId":237914,"corporation":false,"usgs":false,"family":"Shervais","given":"John W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielson, Dennis L.","contributorId":332606,"corporation":false,"usgs":false,"family":"Nielson","given":"Dennis","email":"","middleInitial":"L.","affiliations":[{"id":79512,"text":"DOSECC Exploration Services LLC","active":true,"usgs":false}],"preferred":false,"id":890639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garg, Sabodh","contributorId":193564,"corporation":false,"usgs":false,"family":"Garg","given":"Sabodh","email":"","affiliations":[],"preferred":false,"id":890640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dobson, Patrick","contributorId":193558,"corporation":false,"usgs":false,"family":"Dobson","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":890641,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gasperikova, Erika","contributorId":193561,"corporation":false,"usgs":false,"family":"Gasperikova","given":"Erika","affiliations":[],"preferred":false,"id":890642,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sonnenthal, Eric","contributorId":146807,"corporation":false,"usgs":false,"family":"Sonnenthal","given":"Eric","affiliations":[],"preferred":false,"id":890643,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liberty, Lee M. 0000-0003-2793-8173","orcid":"https://orcid.org/0000-0003-2793-8173","contributorId":332607,"corporation":false,"usgs":false,"family":"Liberty","given":"Lee","email":"","middleInitial":"M.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":890644,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Newell, Dennis L.","contributorId":332608,"corporation":false,"usgs":false,"family":"Newell","given":"Dennis","email":"","middleInitial":"L.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890645,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Siler, Drew Lorenz 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":303226,"corporation":false,"usgs":false,"family":"Siler","given":"Drew","email":"","middleInitial":"Lorenz","affiliations":[{"id":65720,"text":"Geologica Geothermal Group, LLC.","active":true,"usgs":false}],"preferred":false,"id":890646,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Evans, James P.","contributorId":332609,"corporation":false,"usgs":false,"family":"Evans","given":"James P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890647,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70250204,"text":"70250204 - 2024 - Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition","interactions":[],"lastModifiedDate":"2023-11-28T12:58:51.767248","indexId":"70250204","displayToPublicDate":"2023-11-09T06:55:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition","docAbstract":"

In stream systems, disentangling relationships between biology and flow and subsequent prediction of these relationships to unsampled streams is a common objective of large-scale ecological modeling. Often, streamflow metrics are derived from aggregating continuous streamflow records available at a subset of stream gages into long-term flow regime descriptors. Despite demonstrated value, shortcomings of these long-term approaches include spatial restriction to locations with long-term continuous flow records (commonly, biased toward larger systems) and omission of potentially ecologically important short-term (i.e., ≤1 year) antecedent streamflow information. We used long-term flow regime and short-term antecedent streamflow alteration information to evaluate relative performance in modeling stream fish biological condition. We compared results to understand whether short-term antecedent streamflow information improved models of fish biological condition. Results indicated that models incorporating short-term antecedent data performed better than those relying solely on long-term flow regime data (kappa statistic = 0.29 and 0.23, respectively) and improved prediction accuracy among stream sizes and in six of nine ecoregions. Additionally, models relying solely on short-term streamflow information performed similarly to those with only long-term streamflow information (kappa = 0.23). Incorporating short-term antecedent streamflow metrics may provide added ecological information not fully captured by long-term flow regime summaries in macroscale modeling efforts or perform similarly to long-term streamflow data when long-term data are not available.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.168258","usgsCitation":"Woods, T., Eng, K., Carlisle, D.M., Cashman, M.J., Meador, M.R., Ryberg, K.R., and Maloney, K.O., 2024, Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition: Science of the Total Environment, v. 908, 168258, 9 p., https://doi.org/10.1016/j.scitotenv.2023.168258.","productDescription":"168258, 9 p.","ipdsId":"IP-155632","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.168258","text":"Publisher Index Page"},{"id":423009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"908","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woods, Taylor 0000-0002-6277-1260","orcid":"https://orcid.org/0000-0002-6277-1260","contributorId":304097,"corporation":false,"usgs":true,"family":"Woods","given":"Taylor","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":888815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":888816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":888817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":888818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":219878,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":888819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":888821,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250039,"text":"70250039 - 2024 - Rethinking cost-share programs in consideration of economic equity: A case study of wildfire risk mitigation assistance for private landowners","interactions":[],"lastModifiedDate":"2023-11-15T12:51:27.215117","indexId":"70250039","displayToPublicDate":"2023-11-09T06:46:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"Rethinking cost-share programs in consideration of economic equity: A case study of wildfire risk mitigation assistance for private landowners","docAbstract":"

Public agencies and organizations often deliver financial assistance through cost sharing, in which recipients contribute some portion toward total costs. However, cost sharing might raise equity concerns if it reduces participation among populations with lower incomes. Here, we revisit a past study using a richer dataset (n=1,689) to assess whether stated income levels affect survey respondents' willingness to participate in a cost share program for vegetation reduction to mitigate wildfire risk in western Colorado. Results show that residents with lower incomes are less likely to participate even though they can choose to contribute 0% toward a cost share. Residents reporting incomes less than $50,000 are 11 percentage points less likely to participate than those reporting incomes of $200,000 or more. They also are willing to pay a lower share (26 percentage points less) if they do participate. Results indicate potential economic equity concerns from the use of such programs.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2023.108041","usgsCitation":"Meldrum, J., Champ, P.A., Brenkert-Smith, H., Barth, C.M., McConnell, A.E., Wagner, C., and Donovan, C., 2024, Rethinking cost-share programs in consideration of economic equity: A case study of wildfire risk mitigation assistance for private landowners: Ecological Economics, v. 216, https://doi.org/10.1016/j.ecolecon.2023.108041.","productDescription":"108041, 11 p.","startPage":"108041","ipdsId":"IP-144892","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":441064,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolecon.2023.108041","text":"Publisher Index Page"},{"id":435091,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UC6WK9","text":"USGS data release","linkHelpText":"Household survey data about participation in wildfire risk mitigation cost-share in western Colorado 2013-2017"},{"id":422614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.01271043547919,\n 39.570713427638566\n ],\n [\n -109.01271043547919,\n 36.98385405491872\n ],\n [\n -105.62892137297915,\n 36.98385405491872\n ],\n [\n -105.62892137297915,\n 39.570713427638566\n ],\n [\n -109.01271043547919,\n 39.570713427638566\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"216","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":888108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":888109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":888110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barth, Christopher M.","contributorId":195487,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":888111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McConnell, Abby Elizabeth 0000-0003-3515-1581","orcid":"https://orcid.org/0000-0003-3515-1581","contributorId":280426,"corporation":false,"usgs":true,"family":"McConnell","given":"Abby","email":"","middleInitial":"Elizabeth","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":888112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":888113,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":888114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70265541,"text":"70265541 - 2024 - Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches","interactions":[],"lastModifiedDate":"2025-04-14T14:59:19.60552","indexId":"70265541","displayToPublicDate":"2023-11-08T07:53:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches","docAbstract":"

Preferential flow in the unsaturated zone strongly influences important hydrologic processes, such as infiltration, contaminant transport, and aquifer recharge. Because it entails various combinations of physical processes arising from the interactions of water, air, and solid particles in a porous medium, preferential flow is highly complex. Major research is needed to improve the ability to understand, quantify, model, and predict preferential flow. Toward a solution, a combination of diverse experimental measurements at multiple scales, from laboratory scale to mesoscale, has been implemented to detect and quantify preferential paths in carbonate and karstic unsaturated zones. This involves integration of information from (1) core samples, by means of mercury intrusion porosimeter, evaporation, quasi-steady centrifuge and dewpoint potentiometer laboratory methods, to investigate the effect of pore-size distribution on hydraulic characteristics and the potential activation of preferential flow, (2) field plot experiments with artificial sprinkling, to visualize preferential pathways related to secondary porosity, through use of geophysical measurements, and (3) mesoscale evaluation of field data through episodic master recession modeling of episodic recharge. This study demonstrates that preferential flow processes operate from core scale to two different field scales and impact on the qualitative and quantitative groundwater status, by entailing fast flow with subsequent effects on recharge rate and contaminant mobilizing. The presented results represent a rare example of preferential flow detection and numerical modeling by reducing underestimation of the recharge and contamination risks.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10040-023-02733-3","usgsCitation":"Caputo, M.C., De Carlo, L., Masciale, R., Perkins, K., Turturro, A., and Nimmo, J.R., 2024, Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches: Hydrogeology Journal, v. 32, p. 467-485, https://doi.org/10.1007/s10040-023-02733-3.","productDescription":"19 p.","startPage":"467","endPage":"485","ipdsId":"IP-154640","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-023-02733-3","text":"Publisher Index Page"},{"id":484496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","city":"Bari","otherGeospatial":"Apulia Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 16.69243585627035,\n 41.22008353121049\n ],\n [\n 16.723263851427802,\n 41.048118236977714\n ],\n [\n 17.078664904300638,\n 40.82955430051331\n ],\n [\n 18.547099758451623,\n 40.035404755129974\n ],\n [\n 18.558702660409736,\n 40.23218241073464\n ],\n [\n 18.044813946689686,\n 40.80608860459688\n ],\n [\n 16.69243585627035,\n 41.22008353121049\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","noUsgsAuthors":false,"publicationDate":"2023-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Caputo, Maria Clementina","contributorId":298645,"corporation":false,"usgs":false,"family":"Caputo","given":"Maria","email":"","middleInitial":"Clementina","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Carlo, Lorenzo","contributorId":298644,"corporation":false,"usgs":false,"family":"De Carlo","given":"Lorenzo","email":"","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masciale, Rita","contributorId":353110,"corporation":false,"usgs":false,"family":"Masciale","given":"Rita","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Kimberlie 0000-0001-8349-447X kperkins@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":138544,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":932987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turturro, Antonietta Celeste","contributorId":353112,"corporation":false,"usgs":false,"family":"Turturro","given":"Antonietta Celeste","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":932989,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70253099,"text":"70253099 - 2024 - Evidence of Seattle Fault earthquakes from patterns of deep-seated landslides","interactions":[],"lastModifiedDate":"2024-04-19T11:46:05.821429","indexId":"70253099","displayToPublicDate":"2023-11-07T06:43:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of Seattle Fault earthquakes from patterns of deep-seated landslides","docAbstract":"

Earthquake‐induced landslides can record information about the seismic shaking that generated them. In this study, we present new mapping, Light Detection and Ranging‐derived roughness dating, and analysis of over 1000 deep‐seated landslides from the Puget Lowlands of Washington, U.S.A., to probe the landscape for past Seattle fault earthquake information. With this new landslide inventory, we observe spatial and temporal evidence of landsliding related to the last major earthquake on the Seattle fault ∼1100 yr before present. We find spatial clusters of landslides that correlate with ground motions from recent 3D kinematic models of Seattle fault earthquakes. We also find temporal patterns in the landslide inventory that suggest earthquake‐driven increases in landsliding. We compare the spatial and temporal landslide data with scenario‐based ground motion models and find stronger evidence of the last major Seattle fault earthquake from this combined analysis than from spatial or temporal patterns alone. We also compare the landslide inventory with ground motions from different Seattle fault earthquake scenarios to determine the ground motion distributions that are most consistent with the landslide record. We find that earthquake scenarios that best match the clustering of ∼1100‐year‐old landslides produce the strongest shaking within a band that stretches from west to east across central Seattle as well as along the bluffs bordering the broader Puget Sound. Finally, we identify other landslide clusters (at 4.6–4.2 ka, 4.0–3.8 ka, 2.8–2.6 ka, and 2.2–2.0 ka) in the inventory which let us infer potential ground motions that may correspond to older Seattle fault earthquakes. Our method, which combines hindcasting of the surface response to the last major Seattle fault earthquake, using a roughness‐aged landslide inventory with forecasts of modeled ground shaking from 3D seismic scenarios, showcases a powerful new approach to gleaning paleoseismic information from landscapes.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230079","usgsCitation":"Herzig, E., Duvall, A., Booth, A., Stone, I.P., Wirth, E.A., LaHusen, S.R., Wartman, J., and Grant, A.R., 2024, Evidence of Seattle Fault earthquakes from patterns of deep-seated landslides: Bulletin of the Seismological Society of America, v. 114, no. 2, p. 1084-1102, https://doi.org/10.1785/0120230079.","productDescription":"19 p.","startPage":"1084","endPage":"1102","ipdsId":"IP-149878","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":427938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Herzig, Erich","contributorId":335677,"corporation":false,"usgs":false,"family":"Herzig","given":"Erich","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":899150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duvall, Alison","contributorId":238893,"corporation":false,"usgs":false,"family":"Duvall","given":"Alison","affiliations":[],"preferred":false,"id":899151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Booth, Adam","contributorId":220454,"corporation":false,"usgs":false,"family":"Booth","given":"Adam","affiliations":[],"preferred":false,"id":899152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Ian P. 0000-0003-2622-2691","orcid":"https://orcid.org/0000-0003-2622-2691","contributorId":293630,"corporation":false,"usgs":true,"family":"Stone","given":"Ian","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":899153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":899154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaHusen, Sean Richard 0000-0003-4246-4439","orcid":"https://orcid.org/0000-0003-4246-4439","contributorId":294677,"corporation":false,"usgs":true,"family":"LaHusen","given":"Sean","email":"","middleInitial":"Richard","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":899155,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wartman, Joseph 0000-0001-7659-7198","orcid":"https://orcid.org/0000-0001-7659-7198","contributorId":241918,"corporation":false,"usgs":false,"family":"Wartman","given":"Joseph","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":899156,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":899157,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}