{"pageNumber":"366","pageRowStart":"9125","pageSize":"25","recordCount":165227,"records":[{"id":70234249,"text":"70234249 - 2022 - Hot spots and hot moments in the Critical Zone: Identification of and incorporation into reactive transport models","interactions":[],"lastModifiedDate":"2022-08-05T13:52:04.318024","indexId":"70234249","displayToPublicDate":"2022-05-17T08:46:59","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hot spots and hot moments in the Critical Zone: Identification of and incorporation into reactive transport models","docAbstract":"<p><span>Biogeochemical processes are often spatially discrete (hot spots) and temporally isolated (hot moments) due to variability in controlling factors like hydrologic fluxes, lithological characteristics, bio-geomorphic features, and external forcing. Although these hot spots and hot moments (HSHMs) account for a high percentage of carbon, nitrogen and nutrient cycling within the Critical Zone, the ability to identify and incorporate them into reactive transport models remains a significant challenge. This chapter provides an overview of the hot spots hot moments (HSHMs) concepts, where past work has largely focused on carbon and nitrogen dynamics within riverine systems. This work is summarized in the context of process-based and data-driven modeling approaches, including a brief description of recent research that casts a wider net to incorporate Hg, Fe and other Critical Zone elements, and focuses on interdisciplinary approaches and concepts. The broader goal of this chapter is to provide an overview of the gaps in our current understanding of HSHMs, and the opportunities therein, while specifically focusing on the underlying parameters and processes leading to their prognostic and diagnostic representation in reactive transport models.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biogeochemistry of the Critical Zone","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Nature","doi":"10.1007/978-3-030-95921-0_2","usgsCitation":"Arora, B., Briggs, M., Zarnetske, J.P., Stegen, J., Gomez-Velez, J., and Dwivedi, D., 2022, Hot spots and hot moments in the Critical Zone: Identification of and incorporation into reactive transport models, chap. <i>of</i> Biogeochemistry of the Critical Zone, p. 9-47, https://doi.org/10.1007/978-3-030-95921-0_2.","productDescription":"39 p.","startPage":"9","endPage":"47","ipdsId":"IP-114081","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":404874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Arora, Bhavna 0000-0001-7841-886X","orcid":"https://orcid.org/0000-0001-7841-886X","contributorId":290532,"corporation":false,"usgs":false,"family":"Arora","given":"Bhavna","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":848330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222756,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":848331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zarnetske, Jay P.","contributorId":210073,"corporation":false,"usgs":false,"family":"Zarnetske","given":"Jay","email":"","middleInitial":"P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":848332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stegen, James","contributorId":242792,"corporation":false,"usgs":false,"family":"Stegen","given":"James","affiliations":[{"id":48525,"text":"Earth and Biological Sciences Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":848333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gomez-Velez, Jesus","contributorId":219087,"corporation":false,"usgs":false,"family":"Gomez-Velez","given":"Jesus","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":848334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dwivedi, D.","contributorId":294554,"corporation":false,"usgs":false,"family":"Dwivedi","given":"D.","affiliations":[{"id":36254,"text":"LBNL","active":true,"usgs":false}],"preferred":false,"id":848335,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70234225,"text":"70234225 - 2022 - Velocity modeling of supercritical pore fluids through porous media under reservoir conditions with applications for petroleum secondary migration and carbon sequestration plumes","interactions":[],"lastModifiedDate":"2022-08-04T13:38:44.407482","indexId":"70234225","displayToPublicDate":"2022-05-17T08:31:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11447,"text":"SEG-AAPG Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Velocity modeling of supercritical pore fluids through porous media under reservoir conditions with applications for petroleum secondary migration and carbon sequestration plumes","docAbstract":"Computational methods to characterize secondary migration in porous media traditionally rely on fluid transport equations with assumptions of time invariance, such as flowpath modeling of buoyancy vectors, statistical percolation algorithms, capillary pressure curves, or a form of Darcy’s Law which presumes instantaneous fluid transport. However, in petroleum systems modeling, the timeframe of secondary migration from source to reservoir is important to quantify in relation to other geologic factors such as timing of petroleum generation, fault movement, and seal formation. Additionally, quantifying migration velocities enables an estimation of the distance a plume of geologically sequestered carbon dioxide travels over time, as well as the identification of low-permeability strata appropriate for long-term containment. This study introduces a method to quantify transport velocities of supercritical fluids in low-permeability lithologies for a broad range of rock and fluid properties likely encountered in the sedimentary sequence. A time-dependent form of Darcy’s Law for pressure-driven viscous flow through homogeneous isotropic porous media was used to model flow velocities within a carrier bed. Thermodynamic equations of state were used to determine thermophysical properties of supercritical pore fluids under reservoir pressures ranging from 0–200 MPa (0–29,000 psi) to constrain the momentum equations. Three case studies were examined that (1) estimated fluid flow velocities of methane within the low-permeability Upper Jurassic Haynesville Formation, (2) defined permeability-based flow units to evaluate saline formations for long-term geologic carbon sequestration, and (3) calculated the migration distance of carbon dioxide plumes at the Decatur, Illinois injection and sequestration project.","language":"English","publisher":"Society of Economic Geologists","doi":"10.1190/int-2021-0182.1","usgsCitation":"Burke, L.A., 2022, Velocity modeling of supercritical pore fluids through porous media under reservoir conditions with applications for petroleum secondary migration and carbon sequestration plumes: SEG-AAPG Interpretation, v. 10, no. 3, p. SG1-SG9, https://doi.org/10.1190/int-2021-0182.1.","productDescription":"9 p.","startPage":"SG1","endPage":"SG9","ipdsId":"IP-126541","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":447759,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1190/int-2021-0182.1","text":"Publisher Index Page"},{"id":435846,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GT9TWK","text":"USGS data release","linkHelpText":"Data tables associated with velocity modeling of supercritical pore fluids through porous media at reservoir conditions with applications for petroleum secondary migration and carbon sequestration plumes"},{"id":404814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":848241,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70233241,"text":"70233241 - 2022 - Revealing active Mars with HiRISE digital terrain models","interactions":[],"lastModifiedDate":"2022-07-19T12:14:27.972653","indexId":"70233241","displayToPublicDate":"2022-05-17T07:09:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Revealing active Mars with HiRISE digital terrain models","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Many discoveries of active surface processes on Mars have been made due to the availability of repeat high-resolution images from the High Resolution Imaging Science Experiment (HiRISE) onboard the Mars Reconnaissance Orbiter. HiRISE stereo images are used to make digital terrain models (DTMs) and orthorectified images (orthoimages). HiRISE DTMs and orthoimage time series have been crucial for advancing the study of active processes such as recurring slope lineae, dune migration, gully activity, and polar processes. We describe the process of making HiRISE DTMs, orthoimage time series, DTM mosaics, and the difference of DTMs, specifically using the ISIS/SOCET Set workflow. HiRISE DTMs are produced at a 1 and 2 m ground sample distance, with a corresponding estimated vertical precision of tens of cm and ∼1 m, respectively. To date, more than 6000 stereo pairs have been acquired by HiRISE and, of these, more than 800 DTMs and 2700 orthoimages have been produced and made available to the public via the Planetary Data System. The intended audiences of this paper are producers, as well as users, of HiRISE DTMs and orthoimages. We discuss the factors that determine the effective resolution, as well as the quality, precision, and accuracy of HiRISE DTMs, and provide examples of their use in time series analyses of active surface processes on Mars.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs14102403","usgsCitation":"Sutton, S.S., Chojnacki, M., McEwen, A.S., Kirk, R.L., Dundas, C., Schaefer, E.I., Conway, S.J., Diniega, S., Portyankina, G., Landis, M., Baugh, N.F., Heyd, R., Byrne, S., Tornabene, L.L., Ojha, L., and Hamilton, C.W., 2022, Revealing active Mars with HiRISE digital terrain models: Remote Sensing, v. 14, no. 10, 2403, 40 p., https://doi.org/10.3390/rs14102403.","productDescription":"2403, 40 p.","ipdsId":"IP-133937","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":447765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14102403","text":"Publisher Index Page"},{"id":404000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Sutton, Sarah S.","contributorId":203706,"corporation":false,"usgs":false,"family":"Sutton","given":"Sarah","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":846872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chojnacki, Matthew","contributorId":201621,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":846873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":846874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":846875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":846876,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaefer, Ethan I","contributorId":269971,"corporation":false,"usgs":false,"family":"Schaefer","given":"Ethan","email":"","middleInitial":"I","affiliations":[{"id":33186,"text":"Western University","active":true,"usgs":false}],"preferred":false,"id":846877,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conway, Susan J.","contributorId":203697,"corporation":false,"usgs":false,"family":"Conway","given":"Susan","email":"","middleInitial":"J.","affiliations":[{"id":36693,"text":"University of Nantes","active":true,"usgs":false}],"preferred":false,"id":846878,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Diniega, Serina","contributorId":212017,"corporation":false,"usgs":false,"family":"Diniega","given":"Serina","email":"","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":846879,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Portyankina, Ganna","contributorId":200703,"corporation":false,"usgs":false,"family":"Portyankina","given":"Ganna","email":"","affiliations":[],"preferred":false,"id":846880,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Landis, Margaret E.","contributorId":176713,"corporation":false,"usgs":false,"family":"Landis","given":"Margaret E.","affiliations":[{"id":25655,"text":"Lunar and Planetary Laboratory, 1629 E. University Blvd., The University of Arizona, Tucson, AZ 85721, United States","active":true,"usgs":false}],"preferred":false,"id":846881,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baugh, Nicole F","contributorId":293258,"corporation":false,"usgs":false,"family":"Baugh","given":"Nicole","email":"","middleInitial":"F","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":846882,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heyd, Rodney","contributorId":210542,"corporation":false,"usgs":false,"family":"Heyd","given":"Rodney","email":"","affiliations":[],"preferred":false,"id":846883,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":846884,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tornabene, Livio L.","contributorId":203691,"corporation":false,"usgs":false,"family":"Tornabene","given":"Livio","email":"","middleInitial":"L.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":846885,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ojha, Lujendra","contributorId":201619,"corporation":false,"usgs":false,"family":"Ojha","given":"Lujendra","email":"","affiliations":[{"id":36219,"text":"Johns Hopkins","active":true,"usgs":false}],"preferred":false,"id":846886,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hamilton, Christopher W.","contributorId":196266,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":846887,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70234341,"text":"70234341 - 2022 - Use of ‘accommodation space’ in tidal wetlands. A commentary on Kerrylee Rogers’ ‘Accommodation space as a framework for assessing the response of mangroves to relative sea-level rise’","interactions":[],"lastModifiedDate":"2022-08-09T11:51:08.261484","indexId":"70234341","displayToPublicDate":"2022-05-17T06:49:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3392,"text":"Singapore Journal of Tropical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Use of ‘accommodation space’ in tidal wetlands. A commentary on Kerrylee Rogers’ ‘Accommodation space as a framework for assessing the response of mangroves to relative sea-level rise’","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1111/sjtg.12360","usgsCitation":"Krauss, K., 2022, Use of ‘accommodation space’ in tidal wetlands. A commentary on Kerrylee Rogers’ ‘Accommodation space as a framework for assessing the response of mangroves to relative sea-level rise’: Singapore Journal of Tropical Geography, v. 42, no. 2, p. 184-189, https://doi.org/10.1111/sjtg.12360.","productDescription":"6 p.","startPage":"184","endPage":"189","ipdsId":"IP-119386","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":404989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":223022,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":848602,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70231682,"text":"70231682 - 2022 - Decadal trends of mercury cycling and bioaccumulation within Everglades National Park","interactions":[],"lastModifiedDate":"2022-06-01T15:37:49.966824","indexId":"70231682","displayToPublicDate":"2022-05-17T06:45:23","publicationYear":"2022","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":"Decadal trends of mercury cycling and bioaccumulation within Everglades National Park","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0040\">Mercury (Hg) contamination has been a persistent concern in the Florida Everglades for over three decades due to elevated atmospheric deposition and the system's propensity for methylation and rapid bioaccumulation. Given declines in atmospheric Hg concentrations in the conterminous United States and efforts to mitigate nutrient release to the greater Everglades ecosystem, it was vital to assess how Hg dynamics responded on temporal and spatial scales. This study used a multimedia approach (water and biota) to examine Hg and methylmercury (MeHg) dynamics across a 76-site network within the southernmost portion of the region, Everglades National Park (ENP), from 2008 to 2018. Atmospheric Hg deposition was evaluated over time using a long-term monitoring station. Hg concentrations across matrices showed that air, water, and biota from the system were inextricably linked. Temporal patterns across matrices were driven primarily by hydrologic and climatic changes in the park and no evidence of a decline in atmospheric Hg deposition from 2008 to 2018 was observed, unlike other regions of the United States. In the Shark River Slough (SRS), excess dissolved organic carbon and sulfate were also consistently delivered from upgradient canals and showed no evidence of decline over the study period. Within the SRS a strong positive correlation was observed between MeHg concentrations in surface water and resident fish. Within distinct geographic regions of ENP (SRS, Marsh, Coastal), the geochemical controls on MeHg dynamics differed and highlighted regions susceptible to higher MeHg bioaccumulation, particularly in the SRS and Coastal regions. This study demonstrates the strong influence that dissolved organic carbon and sulfate loads have on spatial and temporal distributions of MeHg across the ENP. Importantly, improved water quality and flow rates are two key restoration targets of the nearly 30-year Everglades restoration program, which if achieved, this study suggests would lead to reduced MeHg production and exposure.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.156031","usgsCitation":"Janssen, S., Tate, M., Poulin, B., Krabbenhoft, D.P., DeWild, J.F., Ogorek, J.M., Varonka, M., Orem, W.H., and Kline, J., 2022, Decadal trends of mercury cycling and bioaccumulation within Everglades National Park: Science of the Total Environment, v. 838, no. 1, 156031, 14 p., https://doi.org/10.1016/j.scitotenv.2022.156031.","productDescription":"156031, 14 p.","ipdsId":"IP-138979","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":447768,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.156031","text":"Publisher Index Page"},{"id":400853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.93603515625,\n              24.986058021167594\n            ],\n            [\n              -80.00244140625,\n              24.986058021167594\n            ],\n            [\n              -80.00244140625,\n              26.69163742147271\n            ],\n            [\n              -81.93603515625,\n              26.69163742147271\n            ],\n            [\n              -81.93603515625,\n              24.986058021167594\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"838","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulin, Brett 0000-0002-5555-7733","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":260893,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett","affiliations":[{"id":52706,"text":"Department of Environmental Toxicology, University of California Davis, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":843403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":843404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeWild, John F 0000-0003-4097-2798","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":291932,"corporation":false,"usgs":false,"family":"DeWild","given":"John","email":"","middleInitial":"F","affiliations":[{"id":27856,"text":"USGS-retired","active":true,"usgs":false}],"preferred":false,"id":843405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843406,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Varonka, Matthew S. 0000-0003-3620-5262","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":203231,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":843408,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kline, Jeffrey D","contributorId":169898,"corporation":false,"usgs":false,"family":"Kline","given":"Jeffrey D","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":843409,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70274342,"text":"70274342 - 2022 - Lithospheric conductors reveal source regions of convergent margin mineral systems","interactions":[],"lastModifiedDate":"2026-03-26T16:30:34.497061","indexId":"70274342","displayToPublicDate":"2022-05-17T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Lithospheric conductors reveal source regions of convergent margin mineral systems","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The clean energy transition will require a vast increase in metal supply, yet new mineral deposit discoveries are declining, due in part to challenges associated with exploring under sedimentary and volcanic cover. Recently, several case studies have demonstrated links between lithospheric electrical conductors imaged using magnetotelluric (MT) data and mineral deposits, notably Iron Oxide Copper Gold (IOCG). Adoption of MT methods for exploration is therefore growing but the general applicability and relationship with many other deposit types remains untested. Here, we compile a global inventory of MT resistivity models from Australia, North and South America, and China and undertake the first quantitative assessment of the spatial association between conductors and three mineral deposit types commonly formed in convergent margin settings. We find that deposits formed early in an orogenic cycle such as volcanic hosted massive sulfide (VHMS) and copper porphyry deposits show weak to moderate correlations with conductors in the upper mantle. In contrast, deposits formed later in an orogenic cycle, such as orogenic gold, show strong correlations with mid-crustal conductors. These variations in resistivity response likely reflect mineralogical differences in the metal source regions of these mineral systems and suggest a metamorphic-fluid source for orogenic gold is significant. Our results indicate the resistivity structure of mineralized convergent margins strongly reflects late-stage processes and can be preserved for hundreds of millions of years. Discerning use of MT is therefore a powerful tool for mineral exploration.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-022-11921-2","usgsCitation":"Kirkby, A., Czarnota, K., Huston, D.L., Champion, D.C., Doublier, M.P., Bedrosian, P.A., Duan, J., and Heinson, G., 2022, Lithospheric conductors reveal source regions of convergent margin mineral systems: Scientific Reports, v. 12, 8190, 10 p., https://doi.org/10.1038/s41598-022-11921-2.","productDescription":"8190, 10 p.","ipdsId":"IP-130445","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-022-11921-2","text":"Publisher Index Page"},{"id":501583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, China","otherGeospatial":"North America, South America","volume":"12","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Kirkby, Alison 0000-0003-1361-440X","orcid":"https://orcid.org/0000-0003-1361-440X","contributorId":222461,"corporation":false,"usgs":false,"family":"Kirkby","given":"Alison","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":957955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czarnota, Karol","contributorId":259291,"corporation":false,"usgs":false,"family":"Czarnota","given":"Karol","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":957956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huston, David L.","contributorId":259293,"corporation":false,"usgs":false,"family":"Huston","given":"David","middleInitial":"L.","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":957957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Champion, David C.","contributorId":259290,"corporation":false,"usgs":false,"family":"Champion","given":"David","middleInitial":"C.","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":957958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doublier, Michael P.","contributorId":259292,"corporation":false,"usgs":false,"family":"Doublier","given":"Michael","middleInitial":"P.","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":957959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duan, Jinming","contributorId":367954,"corporation":false,"usgs":false,"family":"Duan","given":"Jinming","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":957961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heinson, Graham","contributorId":211596,"corporation":false,"usgs":false,"family":"Heinson","given":"Graham","email":"","affiliations":[{"id":36897,"text":"University of Adelaide","active":true,"usgs":false}],"preferred":false,"id":957962,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70232265,"text":"70232265 - 2022 - Global cycling and climate effects of aeolian dust controlled by biological soil crusts","interactions":[],"lastModifiedDate":"2022-06-21T16:35:28.748212","indexId":"70232265","displayToPublicDate":"2022-05-16T11:31:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Global cycling and climate effects of aeolian dust controlled by biological soil crusts","docAbstract":"<p>Biological soil crusts (biocrusts) cover ~12% of the global land surface. They are formed by an intimate association between soil particles, photoautotrophic and heterotrophic organisms, and they effectively stabilize the soil surface of drylands. Quantitative information on the impact of biocrusts on the global cycling and climate effects of aeolian dust, however, is not available. Here, we combine the currently limited experimental data with a global climate model to investigate the effects of biocrusts on regional and global dust cycling under current and future conditions. We estimate that biocrusts reduce the global atmospheric dust emissions by ~60%, preventing the release of ~0.7 Pg dust per year. Until 2070, biocrust coverage is expected to be severely reduced by climate change and land-use intensification. The biocrust loss will cause an increased dust burden, leading to a reduction of the global radiation budget of around 0.12 to 0.22 W m−2, corresponding to about 50% of the total direct forcing of anthropogenic aerosols. This biocrust control on dust cycling and its climate impacts have important implications for human health, biogeochemical cycling and the functioning of the ecosystems, and thus should be considered in the modelling, mitigation and management of global change.</p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41561-022-00942-1","usgsCitation":", R., Stanelle, T., Egerer, S., Cheng, Y., Suess, H.E., Canton, Y., Belnap, J., Andreae, M.O., Tegen, I., Reick, C., Poschl, U., and Weber, B., 2022, Global cycling and climate effects of aeolian dust controlled by biological soil crusts: Nature Geoscience, v. 15, p. 458-463, https://doi.org/10.1038/s41561-022-00942-1.","productDescription":"5 p.","startPage":"458","endPage":"463","ipdsId":"IP-137868","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":447771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41561-022-00942-1","text":"Publisher Index Page"},{"id":402400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2022-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":" Rodriguez-Caballero","contributorId":292505,"corporation":false,"usgs":false,"given":"Rodriguez-Caballero","email":"","affiliations":[{"id":62919,"text":"Agronomy Dept., University of Almeria, Carretera Sacramento s/n, 04120 La 6 Cañada de San Urbano (Almería), Spain; Multiphase Chemistry Department, Max Planck Institute for Chemistry, Hahn-8 Meitner-Weg 1, 55128 Mainz, Germany","active":true,"usgs":false}],"preferred":false,"id":844907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanelle, T","contributorId":292506,"corporation":false,"usgs":false,"family":"Stanelle","given":"T","email":"","affiliations":[{"id":62920,"text":"Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 10 8092 Zürich, Switzerland; Now at: Department of Waste, Water, Energy and Air, Canton of Zurich, Walcheplatz 12 2, 8090 Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":844908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Egerer, S","contributorId":292507,"corporation":false,"usgs":false,"family":"Egerer","given":"S","email":"","affiliations":[{"id":62921,"text":"Climate Service Center Germany (GERICS), Fischertwiete 1, 20095 Hamburg, 14 Germany; Max Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, Germany","active":true,"usgs":false}],"preferred":false,"id":844909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheng, Yang","contributorId":211352,"corporation":false,"usgs":false,"family":"Cheng","given":"Yang","email":"","affiliations":[],"preferred":false,"id":844910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suess, H. E.","contributorId":69292,"corporation":false,"usgs":false,"family":"Suess","given":"H.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":844911,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Canton, Y","contributorId":292508,"corporation":false,"usgs":false,"family":"Canton","given":"Y","affiliations":[{"id":62922,"text":"Agronomy Dept, Univ of Almeria, Carretera Sacramento s/n, 04120 La 6 Cañada de San Urbano (Almería), Spain; Centro de Investigación de Colecciones Científicas de la Universidad de Almería,(Almería) Spain","active":true,"usgs":false}],"preferred":false,"id":844912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":844913,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Andreae, M O","contributorId":292509,"corporation":false,"usgs":false,"family":"Andreae","given":"M","email":"","middleInitial":"O","affiliations":[{"id":62923,"text":"Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany; Scripps Institution of Oceanography, Univ of California San Diego, La Jolla, CA 92093, USA; Dept of Geology and Geophysics, King Saud Univ, Riyadh, Saudi Arabia","active":true,"usgs":false}],"preferred":false,"id":844914,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tegen, I","contributorId":292510,"corporation":false,"usgs":false,"family":"Tegen","given":"I","email":"","affiliations":[{"id":62924,"text":"Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":844915,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reick, C","contributorId":292511,"corporation":false,"usgs":false,"family":"Reick","given":"C","email":"","affiliations":[{"id":62925,"text":"Max Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, Germany","active":true,"usgs":false}],"preferred":false,"id":844916,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Poschl, Ulrich","contributorId":205642,"corporation":false,"usgs":false,"family":"Poschl","given":"Ulrich","email":"","affiliations":[{"id":37132,"text":"Multiphase Chemistry Department, Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany","active":true,"usgs":false}],"preferred":false,"id":844917,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weber, B.","contributorId":197862,"corporation":false,"usgs":false,"family":"Weber","given":"B.","email":"","affiliations":[],"preferred":false,"id":844918,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70254852,"text":"70254852 - 2022 - Effective conservation of desert riverscapes requires protection and restoration of in-stream flows with rehabilitation approaches tailored to water availability","interactions":[],"lastModifiedDate":"2024-06-10T16:13:46.578557","indexId":"70254852","displayToPublicDate":"2022-05-16T11:06:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Effective conservation of desert riverscapes requires protection and restoration of in-stream flows with rehabilitation approaches tailored to water availability","docAbstract":"<p><span>Desert riverscape rehabilitation practitioners must contend with compounding effects of increasing human water demand, persistent drought, non-native species establishment, and climate change, which further stress desert riverine ecosystems such as rivers in the Colorado River basin, United States. Herein, we provide our perspective on the importance of natural flows, large floods in particular, for successful conservation and rehabilitation of riverscapes. We present ideas developed from our experience with rehabilitation projects across multiple desert tributary rivers with varying levels of habitat degradation and water abstraction. We propose spatially extensive measures such as protection of in-stream flows, tailoring rehabilitation efforts to available annual water availability, and working with nature using low-tech process-based techniques to more completely address the mechanisms of habitat degradation, such as flow reduction and vegetation-induced channel narrowing. Traditionally, rehabilitation efforts in the Colorado River basin take place at relatively small spatial extents, at convenient locations and, largely focus on reducing non-native plant and fish species. We suggest that we need to think more broadly and creatively, and that conservation or recovery of natural flow regimes is crucial to long-term success of almost all management efforts for both in-stream and riparian communities.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2022.870488","usgsCitation":"Pennock, C., Budy, P., and Macfarlane, W., 2022, Effective conservation of desert riverscapes requires protection and restoration of in-stream flows with rehabilitation approaches tailored to water availability: Frontiers in Environmental Science, v. 10, 870488, 7 p., https://doi.org/10.3389/fenvs.2022.870488.","productDescription":"870488, 7 p.","ipdsId":"IP-138466","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":447774,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2022.870488","text":"Publisher Index Page"},{"id":429773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Pennock, Casey A.","contributorId":337824,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macfarlane, William W.","contributorId":337701,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902717,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231664,"text":"70231664 - 2022 - Assessing private well contamination in Grant, Iowa, and Lafayette Counties, Wisconsin: The southwest Wisconsin groundwater and geology study","interactions":[],"lastModifiedDate":"2022-05-19T13:21:52.585221","indexId":"70231664","displayToPublicDate":"2022-05-16T08:14:15","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Assessing private well contamination in Grant, Iowa, and Lafayette Counties, Wisconsin: The southwest Wisconsin groundwater and geology study","docAbstract":"<p>Rural residents of Grant, Iowa, and Lafayette Counties in Wisconsin rely on private wells for their water. Contaminants like nitrate and bacteria from septic systems, fertilizer, and manure can contaminate the groundwater that residents use. Groundwater is vulnerable to contamination where the soil layer is thin and the bedrock is fractured, which is the case for much of the study region. This study includes five objectives that were designed to assess and understand private well water contamination in the three counties.</p>","language":"English","publisher":"Extension Iowa County, University of Wisconsin-Madison","usgsCitation":"Stokdyk, J.P., Borchardt, M.A., Firnstahl, A.D., Bradbury, K., Muldoon, M., and Kieke, B.A., 2022, Assessing private well contamination in Grant, Iowa, and Lafayette Counties, Wisconsin: The southwest Wisconsin groundwater and geology study, 66 p.","productDescription":"66 p.","ipdsId":"IP-139234","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":400805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":400796,"type":{"id":15,"text":"Index Page"},"url":"https://iowa.extension.wisc.edu/natural-resources/swigg"}],"country":"United States","state":"Wisconsin","county":"Grant County, Iowa County, Lafayette County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-90.4276,42.5081],[-90.6204,42.5091],[-90.6354,42.5094],[-90.636,42.5094],[-90.6415,42.5093],[-90.6363,42.5146],[-90.6342,42.5191],[-90.6347,42.5241],[-90.6376,42.5317],[-90.6395,42.5371],[-90.642,42.5416],[-90.6465,42.5461],[-90.6517,42.5491],[-90.659,42.5542],[-90.6635,42.5587],[-90.6667,42.5639],[-90.6693,42.5705],[-90.6718,42.5759],[-90.6777,42.5849],[-90.6825,42.5937],[-90.6858,42.5984],[-90.6875,42.603],[-90.6886,42.6076],[-90.69,42.613],[-90.6926,42.618],[-90.6954,42.6227],[-90.7002,42.6293],[-90.7019,42.6311],[-90.706,42.6356],[-90.7134,42.64],[-90.7217,42.6423],[-90.7301,42.6449],[-90.7369,42.6464],[-90.7461,42.6479],[-90.7561,42.6491],[-90.7629,42.6506],[-90.7755,42.6531],[-90.7924,42.6553],[-90.8068,42.6583],[-90.8205,42.6604],[-90.8405,42.6634],[-90.8669,42.6695],[-90.8768,42.6715],[-90.8899,42.6733],[-90.896,42.6753],[-90.8985,42.6761],[-90.9065,42.6785],[-90.9108,42.68],[-90.9169,42.6821],[-90.9226,42.6843],[-90.9276,42.6856],[-90.9332,42.6856],[-90.9382,42.685],[-90.9413,42.685],[-90.9482,42.6858],[-90.9542,42.6872],[-90.9601,42.6898],[-90.9677,42.6929],[-90.9734,42.6956],[-90.98,42.6995],[-90.9841,42.7036],[-90.9903,42.7074],[-90.998,42.7121],[-91.0075,42.7161],[-91.0182,42.7205],[-91.0226,42.7227],[-91.0259,42.7245],[-91.0264,42.7249],[-91.0283,42.7263],[-91.0301,42.7291],[-91.03,42.7314],[-91.0305,42.7341],[-91.0323,42.7358],[-91.0354,42.7371],[-91.0392,42.7375],[-91.0417,42.7375],[-91.0447,42.7376],[-91.0467,42.7379],[-91.0492,42.7383],[-91.0517,42.7397],[-91.0543,42.7428],[-91.0549,42.7446],[-91.0549,42.746],[-91.0563,42.7478],[-91.0582,42.7485],[-91.0587,42.7487],[-91.0613,42.75],[-91.0632,42.7523],[-91.0638,42.754],[-91.0639,42.7545],[-91.0634,42.7561],[-91.0621,42.7591],[-91.062,42.762],[-91.0629,42.7645],[-91.0649,42.767],[-91.0667,42.7698],[-91.0688,42.7736],[-91.0696,42.7771],[-91.0713,42.7826],[-91.0735,42.7913],[-91.0763,42.8],[-91.0776,42.8103],[-91.078,42.8214],[-91.0781,42.8294],[-91.0776,42.8339],[-91.0775,42.8373],[-91.0796,42.8398],[-91.0823,42.8424],[-91.0847,42.8437],[-91.086,42.8443],[-91.089,42.8462],[-91.0908,42.8498],[-91.0924,42.8542],[-91.0944,42.8596],[-91.0971,42.8678],[-91.0995,42.874],[-91.0999,42.875],[-91.1047,42.8824],[-91.1132,42.8885],[-91.1218,42.8927],[-91.1311,42.8965],[-91.1372,42.9007],[-91.1411,42.905],[-91.1444,42.9104],[-91.1445,42.9168],[-91.1438,42.9268],[-91.1453,42.9372],[-91.1454,42.9395],[-91.1457,42.9445],[-91.1455,42.9518],[-91.1464,42.9609],[-91.1506,42.9678],[-91.152,42.9695],[-91.1559,42.9739],[-91.1566,42.9747],[-91.1585,42.9784],[-91.1568,42.9839],[-91.1563,42.9894],[-91.1566,42.9934],[-91.1579,42.9966],[-91.139,43],[-91.1334,43.0001],[-91.1277,43.0002],[-91.1039,42.9996],[-91.0969,42.9965],[-91.07,42.9968],[-91.0569,43.001],[-91.042,43.0067],[-91.0296,43.0114],[-91.0203,43.0174],[-91.0055,43.0248],[-90.9917,43.0282],[-90.9805,43.0315],[-90.9613,43.0431],[-90.9442,43.0624],[-90.9361,43.0652],[-90.9198,43.0645],[-90.9048,43.0678],[-90.8949,43.0734],[-90.8886,43.0748],[-90.883,43.0758],[-90.8605,43.0788],[-90.8511,43.0798],[-90.8462,43.0848],[-90.8307,43.0932],[-90.8213,43.0955],[-90.8169,43.0951],[-90.8002,43.1085],[-90.789,43.1109],[-90.7677,43.1152],[-90.7546,43.1221],[-90.7447,43.1245],[-90.741,43.1327],[-90.7312,43.1428],[-90.715,43.152],[-90.7051,43.1599],[-90.7033,43.1631],[-90.6983,43.1681],[-90.6915,43.1723],[-90.684,43.1728],[-90.6733,43.1706],[-90.6682,43.1702],[-90.667,43.1702],[-90.6444,43.1754],[-90.6138,43.1843],[-90.5982,43.1917],[-90.5751,43.2015],[-90.5695,43.2034],[-90.5507,43.208],[-90.53,43.205],[-90.5105,43.2047],[-90.4953,43.2026],[-90.4802,43.2004],[-90.4645,43.2001],[-90.4576,43.1978],[-90.4519,43.1979],[-90.4375,43.1989],[-90.4325,43.1989],[-90.4149,43.1995],[-90.3848,43.2038],[-90.3616,43.2085],[-90.3415,43.21],[-90.3283,43.2078],[-90.3188,43.2065],[-90.3101,43.207],[-90.3013,43.2075],[-90.2937,43.2053],[-90.2899,43.2022],[-90.2867,43.1967],[-90.2835,43.1935],[-90.2778,43.1931],[-90.2685,43.1977],[-90.2635,43.1973],[-90.2584,43.1955],[-90.2401,43.1861],[-90.2243,43.1748],[-90.2104,43.1694],[-90.1978,43.1681],[-90.1946,43.1659],[-90.1858,43.1613],[-90.1776,43.16],[-90.1683,43.1651],[-90.1582,43.1665],[-90.1212,43.1649],[-90.1111,43.1622],[-90.1017,43.1609],[-90.0872,43.1618],[-90.0803,43.1591],[-90.0708,43.1505],[-90.0651,43.1465],[-90.0607,43.146],[-90.0589,43.1488],[-90.0564,43.1588],[-90.0552,43.1624],[-90.0515,43.1665],[-90.0415,43.1716],[-90.0359,43.1757],[-90.0309,43.1816],[-90.0165,43.1899],[-90.0071,43.1945],[-89.9933,43.1968],[-89.9845,43.1964],[-89.9637,43.1919],[-89.9487,43.1933],[-89.9304,43.1897],[-89.9047,43.1875],[-89.8946,43.1935],[-89.8859,43.1967],[-89.8664,43.1954],[-89.8613,43.1936],[-89.8544,43.1936],[-89.8432,43.2004],[-89.8394,43.205],[-89.8384,43.1181],[-89.8386,43.0317],[-89.8375,42.9471],[-89.8377,42.8598],[-89.8375,42.8135],[-89.8373,42.7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Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":843292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradbury, Ken","contributorId":214587,"corporation":false,"usgs":false,"family":"Bradbury","given":"Ken","affiliations":[],"preferred":false,"id":843294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muldoon, Moe","contributorId":291890,"corporation":false,"usgs":false,"family":"Muldoon","given":"Moe","email":"","affiliations":[{"id":39043,"text":"Wisconsin Geological and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":843295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kieke, Burney A","contributorId":195802,"corporation":false,"usgs":false,"family":"Kieke","given":"Burney","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":843296,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70234165,"text":"70234165 - 2022 - Friction in clay-bearing faults increases with the ionic radius of interlayer cations","interactions":[],"lastModifiedDate":"2022-08-02T12:04:29.583516","indexId":"70234165","displayToPublicDate":"2022-05-16T07:00:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Friction in clay-bearing faults increases with the ionic radius of interlayer cations","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Smectite can dramatically reduce the strength of crustal faults and may cause creep on natural faults without great earthquakes; however, the frictional mechanism remains unexplained. Here, our shear experiments reveal systematic increase in shear strength with the increase of the ionic radius of interlayer cations among lithium-, sodium-, potassium-, rubidium-, and cesium-montmorillonites, a smectite commonly found in faults. Using density-functional-theory calculations, we find that relatively small sodium ions fit in the ditrigonal cavities on the montmorillonite surfaces, resulting in weakening of interlayer repulsion during sliding. On the other hand, relatively large potassium ions do not fit in the ditrigonal cavities, resulting in a larger resistance to sliding due to electrostatic repulsion between potassium ions. Calculated shear strength is consistent with our shear experiments by considering the partial dehydration of the frictional contact area. These results provide the basis for developing a quantitative model of smectite-bearing fault rheology.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1038/s43247-022-00444-3","usgsCitation":"Sakuma, H., Lockner, D.A., Solum, J., and Davatzes, N., 2022, Friction in clay-bearing faults increases with the ionic radius of interlayer cations: Communications Earth & Environment, v. 3, 116, 8 p., https://doi.org/10.1038/s43247-022-00444-3.","productDescription":"116, 8 p.","ipdsId":"IP-129299","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":447778,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-022-00444-3","text":"Publisher Index Page"},{"id":435847,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PB9UXR","text":"USGS data release","linkHelpText":"Data release for effect of cationic species on the friction of clay-bearing faults"},{"id":404645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationDate":"2022-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Sakuma, Hiroshi","contributorId":294467,"corporation":false,"usgs":false,"family":"Sakuma","given":"Hiroshi","email":"","affiliations":[{"id":63575,"text":"FCMG, Nat. Instit. for Mat. Sci., Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":848060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":848061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solum, John","contributorId":294469,"corporation":false,"usgs":false,"family":"Solum","given":"John","email":"","affiliations":[{"id":63577,"text":"Shell Global Solutions Internat., the Netherlands","active":true,"usgs":false}],"preferred":false,"id":848062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davatzes, Nick","contributorId":194846,"corporation":false,"usgs":false,"family":"Davatzes","given":"Nick","email":"","affiliations":[],"preferred":false,"id":848063,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70232534,"text":"70232534 - 2022 - Hidden in plain sight: Detecting invasive species when they are morphologically similar to native species","interactions":[],"lastModifiedDate":"2022-07-06T11:48:44.153518","indexId":"70232534","displayToPublicDate":"2022-05-16T06:45:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9319,"text":"Frontiers in Conservation Science","active":true,"publicationSubtype":{"id":10}},"title":"Hidden in plain sight: Detecting invasive species when they are morphologically similar to native species","docAbstract":"<div class=\"JournalAbstract\"><p>Early detection and rapid response (EDRR) can help mitigate and control invasive species outbreaks early on but its success is dependent on accurate identification of invasive species. We evaluated a novel outbreak in San Diego County, California of the Sonoran Spotted Whiptail (<i>Aspidoscelis sonorae</i>) in order to confirm their spread as well as quantify how to better detect and potentially manage this invasive species in California. We found that<span>&nbsp;</span><i>A. sonorae</i><span>&nbsp;</span>went undetected for over two years due to its morphological similarity to native whiptails and that it has spread rapidly since they were first observed. There are two species of native California whiptails with which<span>&nbsp;</span><i>A. sonorae</i><span>&nbsp;</span>can be confused locally, the Orange-throated Whiptail (<i>Aspidoscelis hyperythrus</i>), and to a lesser extent the Tiger Whiptail (<i>Aspidoscelis tigris</i>). We review key diagnostic features to distinguish<span>&nbsp;</span><i>A. sonorae</i><span>&nbsp;</span>from native California whiptails. We also discuss how to efficiently use widely available community science tools to rapidly assess a novel invasive species outbreak and outline suggestions to help manage cryptic invasive species.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fcosc.2022.846431","usgsCitation":"Fisher, S., Fisher, R., and Pauly, G.B., 2022, Hidden in plain sight: Detecting invasive species when they are morphologically similar to native species: Frontiers in Conservation Science, v. 3, 846431, 10 p., https://doi.org/10.3389/fcosc.2022.846431.","productDescription":"846431, 10 p.","ipdsId":"IP-139934","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fcosc.2022.846431","text":"Publisher Index Page"},{"id":403050,"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        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.21289062499999,\n              32.69486597787505\n            ],\n            [\n              -114.873046875,\n              32.69486597787505\n            ],\n            [\n              -114.873046875,\n              33.94335994657882\n            ],\n            [\n              -118.21289062499999,\n              33.94335994657882\n            ],\n            [\n              -118.21289062499999,\n              32.69486597787505\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2022-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, Samuel R","contributorId":225265,"corporation":false,"usgs":false,"family":"Fisher","given":"Samuel R","affiliations":[{"id":41086,"text":"La Sierra University","active":true,"usgs":false}],"preferred":false,"id":845828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":845829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pauly, Gregory B.","contributorId":174956,"corporation":false,"usgs":false,"family":"Pauly","given":"Gregory","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":845830,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70238488,"text":"70238488 - 2022 - Machine learned daily life history classification using low frequency tracking data and automated modelling pipelines: Application to North American waterfowl","interactions":[],"lastModifiedDate":"2022-11-28T12:30:11.615399","indexId":"70238488","displayToPublicDate":"2022-05-16T06:27:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Machine learned daily life history classification using low frequency tracking data and automated modelling pipelines: Application to North American waterfowl","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Identifying animal behaviors, life history states, and movement patterns is a prerequisite for many animal behavior analyses and effective management of wildlife and habitats. Most approaches classify short-term movement patterns with high frequency location or accelerometry data. However, patterns reflecting life history across longer time scales can have greater relevance to species biology or management needs, especially when available in near real-time. Given limitations in collecting and using such data to accurately classify complex behaviors in the long-term, we used hourly GPS data from 5 waterfowl species to produce daily activity classifications with machine-learned models using “automated modelling pipelines”.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>Automated pipelines are computer-generated code that complete many tasks including feature engineering, multi-framework model development, training, validation, and hyperparameter tuning to produce daily classifications from eight activity patterns reflecting waterfowl life history or movement states. We developed several input features for modeling grouped into three broad categories, hereafter “feature sets”: GPS locations, habitat information, and movement history. Each feature set used different data sources or data collected across different time intervals to develop the “features” (independent variables) used in models.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Automated modelling pipelines rapidly developed easily reproducible data preprocessing and analysis steps, identification and optimization of the best performing model and provided outputs for interpreting feature importance. Unequal expression of life history states caused unbalanced classes, so we evaluated feature set importance using a weighted F1-score to balance model recall and precision among individual classes. Although the best model using the least restrictive feature set (only 24 hourly relocations in a day) produced effective classifications (weighted F1 = 0.887), models using all feature sets performed substantially better (weighted F1 = 0.95), particularly for rarer but demographically more impactful life history states (i.e., nesting).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Automated pipelines generated models producing highly accurate classifications of complex daily activity patterns using relatively low frequency GPS and incorporating more classes than previous GPS studies. Near real-time classification is possible which is ideal for time-sensitive needs such as identifying reproduction. Including habitat and longer sequences of spatial information produced more accurate classifications but incurred slight delays in processing.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-022-00324-7","usgsCitation":"Overton, C.T., Casazza, M.L., Bretz, J., McDuie, F., Matchett, E., Mackell, D.A., Lorenz, A., Mott, A., Herzog, M.P., and Ackerman, J.T., 2022, Machine learned daily life history classification using low frequency tracking data and automated modelling pipelines: Application to North American waterfowl: Movement Ecology, v. 10, 23, 13 p., https://doi.org/10.1186/s40462-022-00324-7.","productDescription":"23, 13 p.","ipdsId":"IP-133430","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447785,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-022-00324-7","text":"Publisher Index Page"},{"id":435848,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XBZKZ8","text":"USGS data release","linkHelpText":"Hourly GPS Locations, Associated Habitat Condition, and Annotated Life History State for Training Machine Learned Models of Waterfowl Daily Activity"},{"id":409665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North 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,{"id":70256672,"text":"70256672 - 2022 - Wildlife associates of nine-banded armadillo (Dasypus novemcinctus) burrows in Arkansas","interactions":[],"lastModifiedDate":"2024-08-30T14:24:25.771746","indexId":"70256672","displayToPublicDate":"2022-05-15T09:16:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Wildlife associates of nine-banded armadillo (<i>Dasypus novemcinctus</i>) burrows in Arkansas","title":"Wildlife associates of nine-banded armadillo (Dasypus novemcinctus) burrows in Arkansas","docAbstract":"<p><span>The Nine-banded Armadillo (</span><i>Dasypus novemcinctus</i><span>) is a widespread burrowing species with an expanding geographic range across the southeastern and midwestern United States. Armadillos dig numerous, large burrows within their home ranges and these burrows are likely used by a diverse suite of wildlife species as has been reported for other burrowing ecosystem engineers such as Gopher Tortoises (</span><i>Gopherus polyphemus</i><span>), Desert Tortoises (</span><i>Gopherus agassizi</i><span>), and Black-tailed Prairie Dogs (</span><i>Cynomys ludovicianus</i><span>). We used motion-triggered game cameras at 35 armadillo burrows in 4 ecoregions of Arkansas and documented 19 species of mammals, 4&nbsp;species of reptile, 1&nbsp;species of amphibian, and 40&nbsp;species of bird interacting with burrows. Bobcat (</span><i>Lynx rufus</i><span>), Coyote (</span><i>Canis latrans</i><span>), Eastern Cottontail (</span><i>Sylvilagus floridanus</i><span>), Gray Fox (</span><i>Urocyon cinereoargenteus</i><span>), Gray Squirrel (</span><i>Sciurus carolinensis</i><span>), Northern Raccoon (</span><i>Procyon lotor</i><span>), Virginia Opossum (</span><i>Didelphis virginiana</i><span>), and unidentified rodents (mice and rats) were documented using burrows in all four ecoregions. We documented wildlife hunting, seeking shelter, rearing young in, and taking over and modifying armadillo burrows. The rate of use was highest in the Mississippi Alluvial Valley, a landscape dominated by agriculture, where natural refugia may be limited and rodents are abundant. Armadillo burrows are clearly visited and used by numerous wildlife species to fulfill various life stage requirements, and this list will likely expand if more attention is devoted to understanding the role of armadillos burrows. Armadillos are important ecosystem engineers, and their ecological role warrants more investigation and attention as opposed to only being viewed and managed as agricultural and garden pests.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8858","usgsCitation":"DeGregorio, B.A., Veon, J.T., and Massey, A., 2022, Wildlife associates of nine-banded armadillo (Dasypus novemcinctus) burrows in Arkansas: Ecology and Evolution, v. 12, no. 5, e8858, 10 p., https://doi.org/10.1002/ece3.8858.","productDescription":"e8858, 10 p.","ipdsId":"IP-139270","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":447786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8858","text":"Publisher Index Page"},{"id":433366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Andrhea","contributorId":341551,"corporation":false,"usgs":false,"family":"Massey","given":"Andrhea","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908597,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267788,"text":"70267788 - 2022 - Attraction, entrance, and passage efficiency of Arctic Grayling, trout, and suckers at Denil fishways in the Big Hole River basin, Montana","interactions":[],"lastModifiedDate":"2025-06-02T15:31:35.247658","indexId":"70267788","displayToPublicDate":"2022-05-14T00:00:00","publicationYear":"2022","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":"Attraction, entrance, and passage efficiency of Arctic Grayling, trout, and suckers at Denil fishways in the Big Hole River basin, Montana","docAbstract":"<p><span>The Big Hole River basin in southwestern Montana supports the only indigenous, self‐sustaining fluvial population of Arctic Grayling&nbsp;</span><i>Thymallus arcticus</i><span>&nbsp;in the conterminous United States, but the basin is fragmented by numerous low‐head irrigation diversion dams. Denil fishways at 63 diversion dams provide Arctic Grayling and other fishes opportunities for year‐round access to critical habitats; however, their efficiency has not been evaluated. We quantified attraction, entrance, and passage for hatchery‐reared Arctic Grayling, wild trout (Brook Trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;and Brown Trout&nbsp;</span><i>Salmo trutta</i><span>), and wild suckers (White Sucker&nbsp;</span><i>Catostomus commersonii</i><span>&nbsp;and Longnose Sucker&nbsp;</span><i>C. catostomus</i><span>) during 14 field trials conducted at six Denil fishways over a representative range of fishway slopes and hydraulic conditions using passive integrated transponder telemetry. Attraction (60.4–84.3%) and entrance (44.3–78.6%) efficiencies were variable across test conditions and reduced overall fishway efficiencies (19.1–55.8%). In contrast, upon entry, passage efficiencies were high (96.2–97.0%) for all taxa across all test conditions. Attraction of hatchery‐reared Arctic Grayling increased with upstream depth (a surrogate for fishway discharge) and attraction flow, but attraction of wild fish was less affected by these conditions. Entrance of Arctic Grayling, Brook Trout, and Brown Trout decreased with upstream depth and fishway slope, especially when plunging entrance conditions associated with shallow downstream depths were present. However, entrance of Arctic Grayling and both trout species increased with downstream depth, and submerged fishway entrances demonstrated promise for increasing entrance efficiency at fishways with high discharges and steep slopes. We demonstrate that comprehensive evaluations of fishway efficiency components can identify specific solutions that improve fishway efficiency; application of these engineering solutions at individual fishways (as needed) could improve their efficiency and further enhance aquatic connectivity for fishes in the Big Hole River basin and elsewhere.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/tafs.10362","usgsCitation":"Triano, B., Kappenman, K., McMahon, T., Blank, M., Heim, K., Parker, A., Zale, A.V., Platt, N., and Plymesser, K., 2022, Attraction, entrance, and passage efficiency of Arctic Grayling, trout, and suckers at Denil fishways in the Big Hole River basin, Montana: Transactions of the American Fisheries Society, v. 151, no. 4, p. 453-473, https://doi.org/10.1002/tafs.10362.","productDescription":"21 p.","startPage":"453","endPage":"473","ipdsId":"IP-132814","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10362","text":"Publisher Index Page"},{"id":489403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Big Hole River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.60253591434008,\n              45.88362120565034\n            ],\n            [\n              -112.60253591434008,\n              45.38912468392812\n            ],\n            [\n              -112.20177404522745,\n              45.38912468392812\n            ],\n            [\n              -112.20177404522745,\n              45.88362120565034\n            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E.","contributorId":356219,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[{"id":84938,"text":"Ecology Department","active":true,"usgs":false}],"preferred":false,"id":938892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blank, Matt","contributorId":356220,"corporation":false,"usgs":false,"family":"Blank","given":"Matt","affiliations":[{"id":84940,"text":"Western Transportation Institute","active":true,"usgs":false}],"preferred":false,"id":938893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heim, Kurt C.","contributorId":356221,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parker, Albert E.","contributorId":356222,"corporation":false,"usgs":false,"family":"Parker","given":"Albert 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Katey","contributorId":356224,"corporation":false,"usgs":false,"family":"Plymesser","given":"Katey","affiliations":[{"id":84941,"text":"Department of Civil Engineering","active":true,"usgs":false}],"preferred":false,"id":938897,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70236468,"text":"70236468 - 2022 - Credit where credit is due","interactions":[],"lastModifiedDate":"2023-03-30T13:00:41.605746","indexId":"70236468","displayToPublicDate":"2022-05-13T16:55:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7458,"text":"Eos Science News","active":true,"publicationSubtype":{"id":10}},"title":"Credit where credit is due","docAbstract":"<p>Credit is the currency of science. Scientists are evaluated and promoted in their jobs and professional communities on the basis of their <i>recognized</i> contributions to science. Unlike a financial contribution, a scientific contribution is difficult to measure. Traditionally, credit for scientific contributions has been given through authorship and citations in scientific literature as well as awards and the naming of geographic features, instruments, and methods and other honorifics. However, these practices do not capture the breadth and depth of the contributions by all actors in modern, open science.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022EO220239","usgsCitation":"Parsons, M.A., Katz, D.S., Langseth, M., Ramapriyan, H., and Ramdeen, S., 2022, Credit where credit is due: Eos Science News, HTML Document, https://doi.org/10.1029/2022EO220239.","productDescription":"HTML Document","ipdsId":"IP-143013","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":447787,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022eo220239","text":"Publisher Index Page"},{"id":406349,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Parsons, Mark A. 0000-0002-7723-0950","orcid":"https://orcid.org/0000-0002-7723-0950","contributorId":296275,"corporation":false,"usgs":false,"family":"Parsons","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":851123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katz, Daniel S. 0000-0001-5934-7525","orcid":"https://orcid.org/0000-0001-5934-7525","contributorId":296276,"corporation":false,"usgs":false,"family":"Katz","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":851124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langseth, Madison 0000-0002-4472-9106 mlangseth@usgs.gov","orcid":"https://orcid.org/0000-0002-4472-9106","contributorId":191744,"corporation":false,"usgs":true,"family":"Langseth","given":"Madison","email":"mlangseth@usgs.gov","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":851125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramapriyan, Hampapuram 0000-0002-8425-8943","orcid":"https://orcid.org/0000-0002-8425-8943","contributorId":296277,"corporation":false,"usgs":false,"family":"Ramapriyan","given":"Hampapuram","email":"","affiliations":[{"id":7239,"text":"Science Systems and Applications, Inc.","active":true,"usgs":false}],"preferred":false,"id":851126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramdeen, Sarah 0000-0003-1135-5942","orcid":"https://orcid.org/0000-0003-1135-5942","contributorId":296278,"corporation":false,"usgs":false,"family":"Ramdeen","given":"Sarah","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":851127,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231492,"text":"sim3487 - 2022 - Geologic maps of the Stephenson and Winchester quadrangles, Frederick and Clarke Counties, Virginia, and Inwood and White Hall quadrangles, Berkeley and Jefferson Counties, West Virginia","interactions":[],"lastModifiedDate":"2026-04-01T15:15:19.750245","indexId":"sim3487","displayToPublicDate":"2022-05-13T11:20:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3487","displayTitle":"Geologic Maps of the Stephenson and Winchester Quadrangles, Frederick and Clarke Counties, Virginia, and Inwood and White Hall Quadrangles, Berkeley and Jefferson Counties, West Virginia","title":"Geologic maps of the Stephenson and Winchester quadrangles, Frederick and Clarke Counties, Virginia, and Inwood and White Hall quadrangles, Berkeley and Jefferson Counties, West Virginia","docAbstract":"<p>The study area consists of four contiguous 7.5-minute quadrangles and is located in Frederick and Clarke Counties, Virginia, and Berkeley and Jefferson Counties, West Virginia. The individual quadrangles are Stephenson, Winchester, Inwood, and White Hall. The study area lies within the Great Valley subprovince of the Valley and Ridge physiographic province where about 23,000 feet (ft) (7,000 meters [m]) of Middle Cambrian to Upper Devonian sedimentary rocks are exposed and are overlain by Holocene and older surficial deposits. The area of the four maps is divided into three geologic regions based on the following primary lithologies: (1) Cambrian and Ordovician carbonate rocks of the Great Valley southeast of the North Mountain fault zone and east and west of the core of the Massanutten synclinorium; (2) shale, graywacke, and calcareous shale of the Ordovician Martinsburg Formation of the Great Valley and Massanutten synclinorium; and (3) Ordovician through Devonian clastic rocks and minor limestone and dolostone northwest of and within the North Mountain fault zone. Rocks of all three regions were folded and faulted during the late Paleozoic Alleghanian orogeny (roughly 320 to 250 million years before present). The terrain of this portion of the Great Valley generally is gently to moderately rolling with low local relief with elevations in the study area ranging from about 425 ft (130 m) where Opequon Creek flows out of the eastern edge of the Inwood quadrangle to about 950 ft (290 m) adjacent to Round Hill in the western part of the Winchester quadrangle. Sinkholes and other karst features are common in the carbonate rocks of the Great Valley. The area west of the North Mountain fault zone is underlain by middle Paleozoic strata and consists of a series of ridges and valleys with higher local relief, with elevations ranging from about 785 ft (240 m) in the vicinity of Green Spring in the central part of the White Hall quadrangle to about 1,435 ft (437 m) at the summit of North Mountain in the northeastern part of the White Hall quadrangle.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3487","usgsCitation":"Weary, D.J., Doctor, D.H., and Orndorff, R.C., 2022, Geologic maps of the Stephenson and Winchester quadrangles, Frederick and Clarke Counties, Virginia, and Inwood and White Hall quadrangles, Berkeley and Jefferson Counties, West Virginia: U.S. Geological Survey Scientific Investigations Map 3487, 4 sheets, scale 1:24,000, 33-p. pamphlet, https://doi.org/10.3133/sim3487.","productDescription":"Pamphlet: viii, 33 p.; 4 Sheets: 28.00 x 42.00 inches or smaller; Base Map; Metadata; Database; Read Me","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-009285","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":501931,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113056.htm","linkFileType":{"id":5,"text":"html"}},{"id":400509,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3487/sim3487_openaccess.zip","text":"Open Access","size":"10.5 MB","linkFileType":{"id":6,"text":"zip"}},{"id":400508,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3487/sim3487_basemaps.zip","text":"Base Maps","size":"540 MB","linkFileType":{"id":6,"text":"zip"}},{"id":400507,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3487/sim3487_mapsheets.zip","text":"Map Sheets 1–4","size":"604 MB","linkFileType":{"id":6,"text":"zip"}},{"id":400502,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3487/coverthb3.jpg"},{"id":400505,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3487/sim3487_metadata.zip","text":"Metadata","size":"108 KB","linkFileType":{"id":6,"text":"zip"}},{"id":400506,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3487/sim3487_readme.txt","text":"Read Me","size":"8.50 KB","linkFileType":{"id":2,"text":"txt"}},{"id":400504,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3487/sim3487_database.zip","text":"Database","size":"36.2 MB","linkFileType":{"id":6,"text":"zip"}},{"id":400503,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3487/sim3487_pamphlet.pdf","text":"Pamphlet","size":"9.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3487"}],"country":"United States","state":"Virginia, West Virginia","county":"Berkeley County, Clarke County, Frederick County,  Jefferson County","otherGeospatial":"Inwood, Stephenson, White Hall and Winchester quadrangles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.25,\n              39.375\n            ],\n            [\n              -78,\n              39.375\n            ],\n            [\n              -78,\n              39.125\n            ],\n            [\n              -78.25,\n              39.125\n            ],\n            [\n              -78.25,\n              39.375\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\" data-mce-href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\">Florence Bascom Geoscience Center</a><br>U.S. Geological Survey<br>926A National Center<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Description of Map Units and Stratigraphic Notes</li><li>Conodont Biostratigraphy</li><li>Surficial Deposits</li><li>Structural Geology</li><li>Audio-Magnetotelluric Survey and Section</li><li>Karst</li><li>Economic Geology and Mineral Resources</li><li>Description of Map Units</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2022-05-13","noUsgsAuthors":false,"publicationDate":"2022-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":842776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":842777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":842778,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260154,"text":"70260154 - 2022 - Earthquakes indicated stress field change during the 2006 unrest of Augustine Volcano, Alaska","interactions":[],"lastModifiedDate":"2024-10-30T22:06:31.226198","indexId":"70260154","displayToPublicDate":"2022-05-13T11:06:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Earthquakes indicated stress field change during the 2006 unrest of Augustine Volcano, Alaska","docAbstract":"<p>To examine controls on the local stress field at Augustine Volcano, Alaska, before its 2006 eruption, we calculated fault plane solutions for volcano-tectonic earthquakes from 2002 to 2006. The P-axis orientation was first aligned to the regional maximum compression (NW) and then rotated by about 90° (perpendicular to the dike alignment) after the onset of surface deformation in mid-August 2005. Using 3D finite element models, we systematically evaluated the effects of tectonic stresses, volcanic edifice densities, and dike overpressures on the local stress field orientation. Combining data and models to generate “phase diagrams” of different stress controls by these competing effects, we argue that moderate tectonic stress of 2–3&nbsp;MPa at 600&nbsp;m above sea level slightly exceeded the edifice loading before the precursory deformation and was then overprinted by a local stress field from dike opening with an overpressure of ~15&nbsp;MPa.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GL097958","usgsCitation":"Zhan, Y., Roman, D., Le Mevel, H., and Power, J., 2022, Earthquakes indicated stress field change during the 2006 unrest of Augustine Volcano, Alaska: Geophysical Research Letters, v. 49, e2022GL097958, 9 p., https://doi.org/10.1029/2022GL097958.","productDescription":"e2022GL097958, 9 p.","ipdsId":"IP-137090","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Augustine Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -153.5968722856842,\n              59.431514142471286\n            ],\n            [\n              -153.5968722856842,\n              59.29604332497132\n            ],\n            [\n              -153.3209313297999,\n              59.29604332497132\n            ],\n            [\n              -153.3209313297999,\n              59.431514142471286\n            ],\n            [\n              -153.5968722856842,\n              59.431514142471286\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2022-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhan, Yan","contributorId":345673,"corporation":false,"usgs":false,"family":"Zhan","given":"Yan","email":"","affiliations":[{"id":82691,"text":"Carnegie Institution for Science, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":917229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Diana","contributorId":237832,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","affiliations":[{"id":47620,"text":"Dept. of Terrestrial Magnetism, Carnegie Institution for Science, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":917230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Le Mevel, Helene","contributorId":345674,"corporation":false,"usgs":false,"family":"Le Mevel","given":"Helene","affiliations":[{"id":82691,"text":"Carnegie Institution for Science, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":917231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917232,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231597,"text":"70231597 - 2022 - Value of information: Exploring behavioral and social factors","interactions":[],"lastModifiedDate":"2022-05-17T13:31:49.83722","indexId":"70231597","displayToPublicDate":"2022-05-13T08:28:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Value of information: Exploring behavioral and social factors","docAbstract":"<p><span>There is growing interest within and beyond the economics community in assessing the value of information (VOI) used in decision making. VOI assessments often do not consider the complex behavioral and social factors that affect the perception, valuation, and use of information by individuals and groups. Additionally, VOI assessments frequently do not examine the full suite of interactions and outcomes affecting different groups or individuals. The behavioral and social factors that we mention are often (but not always) innately-derived, less-than-conscious influences that reflect human and societal adaptations to the past. We first discuss these concepts in the context of the recognition and use of information for decision making. We then find fifteen different aspects of value and information pertinent to VOI assessments. We examine methodologies and issues related to current VOI estimation practices in economics. Building on this examination, we explore the perceptions, social factors, and behavioral factors affecting information sharing, prioritization, valuation, and discounting. Information and valuation issues are then considered in the context of information production, information trading and controls, and information communication pathologies. Lastly, we describe issues relating to information useability and actionability. Our examples mention the value and use of geospatial information, and more generally concern societal issues relating to the management of natural resources, environments, and natural and anthropogenic hazards. Our paper aims to be instrumentally relevant to anyone interested in the use and value of science.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2022.805245","usgsCitation":"Glynn, P.D., Chiavacci, S.J., Rhodes, C., Helgeson, J., Shapiro, C.D., and Straub, C.L., 2022, Value of information: Exploring behavioral and social factors: Frontiers in Environmental Science, v. 10, 805245, 21 p., https://doi.org/10.3389/fenvs.2022.805245.","productDescription":"805245, 21 p.","ipdsId":"IP-137172","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":447790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2022.805245","text":"Publisher Index Page"},{"id":400693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":843095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiavacci, Scott J. 0000-0003-3579-8377","orcid":"https://orcid.org/0000-0003-3579-8377","contributorId":206161,"corporation":false,"usgs":true,"family":"Chiavacci","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":843096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhodes, Charles 0000-0002-9040-3684","orcid":"https://orcid.org/0000-0002-9040-3684","contributorId":245881,"corporation":false,"usgs":true,"family":"Rhodes","given":"Charles","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":843097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helgeson, Jennifer 0000-0002-3692-7874","orcid":"https://orcid.org/0000-0002-3692-7874","contributorId":291799,"corporation":false,"usgs":false,"family":"Helgeson","given":"Jennifer","email":"","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":843098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shapiro, Carl D. 0000-0002-1598-6808 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":3048,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":843099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Straub, Crista L. 0000-0001-7828-3328","orcid":"https://orcid.org/0000-0001-7828-3328","contributorId":219353,"corporation":false,"usgs":true,"family":"Straub","given":"Crista","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":843100,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237692,"text":"70237692 - 2022 - Evaluating aromatization of solid bitumen generated in the presence and absence of water: Implications for solid bitumen reflectance as a thermal proxy","interactions":[],"lastModifiedDate":"2022-10-19T13:22:32.108904","indexId":"70237692","displayToPublicDate":"2022-05-13T08:20:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating aromatization of solid bitumen generated in the presence and absence of water: Implications for solid bitumen reflectance as a thermal proxy","docAbstract":"<p><span>Geological models for petroleum generation suggest&nbsp;<a class=\"topic-link\" title=\"Learn more about thermal conversion from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/thermal-conversion\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/thermal-conversion\">thermal conversion</a>&nbsp;of oil-prone sedimentary organic matter in the presence of water promotes increased liquid saturate yield, whereas absence of water causes formation of an aromatic, cross-linked solid&nbsp;<a class=\"topic-link\" title=\"Learn more about bitumen from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/bitumen\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/bitumen\">bitumen</a>&nbsp;residue. To test the influence of hydrogen from water, organic-rich (22&nbsp;wt%&nbsp;<a class=\"topic-link\" title=\"Learn more about total organic carbon from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/total-organic-carbon\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/total-organic-carbon\">total organic carbon</a>, TOC)&nbsp;<a class=\"topic-link\" title=\"Learn more about mudrock from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/mudstone\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/mudstone\">mudrock</a>&nbsp;samples from the&nbsp;<a class=\"topic-link\" title=\"Learn more about Eocene from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/eocene\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/eocene\">Eocene</a>&nbsp;lacustrine Green River Formation Mahogany zone&nbsp;<a class=\"topic-link\" title=\"Learn more about oil shale from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/oil-shale\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/oil-shale\">oil shale</a>&nbsp;were pyrolyzed under hydrous and anhydrous conditions in closed system&nbsp;<a class=\"topic-link\" title=\"Learn more about batch reactors from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/batch-reactor\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/batch-reactor\">batch reactors</a>&nbsp;at temperatures between 300 and 370&nbsp;°C for 72&nbsp;h. Pre- and post-pyrolysis samples were characterized using petrographic approaches including&nbsp;<a class=\"topic-link\" title=\"Learn more about optical microscopy from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/optical-microscopy\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/optical-microscopy\">optical microscopy</a>, reflectance,&nbsp;</span><a class=\"topic-link\" title=\"Learn more about Raman spectroscopy from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/raman-spectroscopy\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/raman-spectroscopy\">Raman spectroscopy</a><span>, and scanning electron and&nbsp;<a class=\"topic-link\" title=\"Learn more about transmission electron microscopy from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/transmission-electron-microscopy\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/transmission-electron-microscopy\">transmission electron microscopy</a>&nbsp;to quantify differences in relative appearance, abundance, and composition of solid bitumen newly generated during the pyrolysis experiments. Petrographic analyses were supplemented by geochemical screening measurements (TOC content and programmed temperature pyrolysis). Results show post-hydrous pyrolysis residues contain lower TOC, are comprised of solid bitumen with greater&nbsp;<a class=\"topic-link\" title=\"Learn more about aromaticity from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/aromaticity\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/aromaticity\">aromaticity</a>, and have textures indicative of lower viscosities, relative to anhydrous residues from the same temperature pyrolysis conditions. These observations suggest solid bitumen forming from thermal conversion of oil-prone sedimentary organic matter under anhydrous conditions may be less aromatic, although more cross-linked, than solid bitumen forming under hydrous conditions at the same time-temperature combination. To explain these results, we suggest that a radical&nbsp;<a class=\"topic-link\" title=\"Learn more about disproportionation from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/disproportionation\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/disproportionation\">disproportionation</a>&nbsp;mechanism is favored in the presence of hydrogen donated from water, and that this disproportionation promotes aromatization in the&nbsp;<a class=\"topic-link\" title=\"Learn more about solid residue from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/solid-residue\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/solid-residue\">solid residue</a>&nbsp;with concomitant expulsion of saturated hydrocarbons.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2022.104016","usgsCitation":"Hackley, P.C., Jubb, A., Smith, P.L., McAleer, R.J., Valentine, B.J., Hatcherian, J.J., Botterell, P.J., and Birdwell, J.E., 2022, Evaluating aromatization of solid bitumen generated in the presence and absence of water: Implications for solid bitumen reflectance as a thermal proxy: International Journal of Coal Geology, v. 258, 104016, 16 p., https://doi.org/10.1016/j.coal.2022.104016.","productDescription":"104016, 16 p.","ipdsId":"IP-136449","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":447793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2022.104016","text":"Publisher Index Page"},{"id":408537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"258","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":855030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":855031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Patrick L.","contributorId":298071,"corporation":false,"usgs":false,"family":"Smith","given":"Patrick","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":855032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":855033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":855034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":855035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Botterell, Palma J. 0000-0001-7140-0915 pjarboe@usgs.gov","orcid":"https://orcid.org/0000-0001-7140-0915","contributorId":5805,"corporation":false,"usgs":true,"family":"Botterell","given":"Palma","email":"pjarboe@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":855036,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":855037,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70231655,"text":"70231655 - 2022 - Using a multi-model ensemble approach to determine biodiversity hotspots with limited occurrence data in understudied areas: An example using freshwater mussels in México","interactions":[],"lastModifiedDate":"2022-05-19T12:22:18.441838","indexId":"70231655","displayToPublicDate":"2022-05-13T07:20:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using a multi-model ensemble approach to determine biodiversity hotspots with limited occurrence data in understudied areas: An example using freshwater mussels in México","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Species distribution models (SDMs) are an increasingly important tool for conservation particularly for difficult-to-study locations and with understudied fauna. Our aims were to (1) use SDMs and ensemble SDMs to predict the distribution of freshwater mussels in the Pánuco River Basin in Central México; (2) determine habitat factors shaping freshwater mussel occurrence; and (3) use predicted occupancy across a range of taxa to identify freshwater mussel biodiversity hotspots to guide conservation and management. In the Pánuco River Basin, we modeled the distributions of 11 freshwater mussel species using an ensemble approach, wherein multiple SDM methodologies were combined to create a single ensemble map of predicted occupancy. A total of 621 species-specific observations at 87 sites were used to create species-specific ensembles. These predictive species ensembles were then combined to create local diversity hotspot maps. Precipitation during the warmest quarter, elevation, and mean temperature were consistently the most important discriminatory environmental variables among species, whereas land use had limited influence across all taxa. To the best of our knowledge, our study is the first freshwater mussel-focused research to use an ensemble approach to determine species distribution and predict biodiversity hotspots. Our study can be used to guide not only current conservation efforts but also prioritize areas for future conservation and study.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8909","usgsCitation":"Kiser, A., Cummings, K.S., Tiemann, J., Smith, C.H., Johnson, N., Lopez, R.R., and Randklev, C.R., 2022, Using a multi-model ensemble approach to determine biodiversity hotspots with limited occurrence data in understudied areas: An example using freshwater mussels in México: Ecology and Evolution, v. 15, no. 5, e8909, 14 p., https://doi.org/10.1002/ece3.8909.","productDescription":"e8909, 14 p.","ipdsId":"IP-132858","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":447795,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.8909","text":"External Repository"},{"id":400803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Pánuco","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.78857421875,\n              18.124970639386515\n            ],\n            [\n              -94.68017578125,\n              18.124970639386515\n            ],\n            [\n              -94.68017578125,\n              24.726874870506972\n            ],\n            [\n              -100.78857421875,\n              24.726874870506972\n            ],\n            [\n              -100.78857421875,\n              18.124970639386515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Kiser, Alexander H.","contributorId":291859,"corporation":false,"usgs":false,"family":"Kiser","given":"Alexander H.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":843254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cummings, Kevin S.","contributorId":201223,"corporation":false,"usgs":false,"family":"Cummings","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":843255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiemann, Jeremy S.","contributorId":229785,"corporation":false,"usgs":false,"family":"Tiemann","given":"Jeremy S.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":843256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":843257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nathan A. 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":218986,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":843258,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez, Roel R.","contributorId":291862,"corporation":false,"usgs":false,"family":"Lopez","given":"Roel","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":843259,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Randklev, Charles R.","contributorId":202530,"corporation":false,"usgs":false,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":843260,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232533,"text":"70232533 - 2022 - Long-term effects of prescribed fire on large tree growth in mixed conifer forests at Lassen Volcanic National Park, California","interactions":[],"lastModifiedDate":"2022-07-06T12:14:12.455748","indexId":"70232533","displayToPublicDate":"2022-05-13T07:10:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Long-term effects of prescribed fire on large tree growth in mixed conifer forests at Lassen Volcanic National Park, California","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\"><span>Prescribed fire in dry&nbsp;coniferous forests&nbsp;of the western&nbsp;U.S.&nbsp;is used to reduce fire hazards. How large, old trees respond to these treatments is an important management consideration. Growth is a key indicator of residual tree condition, which can be predictive of mortality and response to future disturbance. Using a combination of long-term plot records and dendrochronological samples, we analyzed the effects of prescribed fire treatments from the early 1990&nbsp;s on forest structure and individual tree growth in mixed-conifer forests of Lassen Volcanic National Park in northern California. Prescribed fire reduced stand live tree&nbsp;basal area&nbsp;and stem density at our sites up to 10&nbsp;years following fire. Within two prescribed fire burn units and two adjacent unburned stands, we analyzed tree cores from 136 large (mean stem diameter&nbsp;&gt;&nbsp;70&nbsp;cm) yellow pine (</span><span><i>Pinus jeffreyi</i></span><span>&nbsp;</span>and<span>&nbsp;</span><i>P. ponderosa</i>) and 136 large (mean stem diameter&nbsp;&gt;&nbsp;50&nbsp;cm) white fir (<span><i>Abies concolor</i></span>). After accounting for annual precipitation, basal area increment for individual trees initially declined up to&nbsp;&lt;&nbsp;3&nbsp;years post-fire for white fir and&nbsp;&gt;&nbsp;10&nbsp;years post-fire for yellow pine, presumably in response to tree injuries. Growth improved for both species at a site that was burned twice, particularly for white fir. Recent average basal area increment was positively related to crown ratio and negatively associated with an index of local competition. Our findings suggest that forest management, such as prescribed fire and mechanical thinning, may be beneficial in terms of maintaining or improving tree growth among large residual trees. However, managers may want to balance the benefits of these treatments against inadvertent injury and mortality of large trees.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2022.120260","usgsCitation":"Wenderott, Z., van Mantgem, P., Wright, M., Farris, C.A., and Sherriff, R., 2022, Long-term effects of prescribed fire on large tree growth in mixed conifer forests at Lassen Volcanic National Park, California: Forest Ecology and Management, v. 517, 120260, 10 p., https://doi.org/10.1016/j.foreco.2022.120260.","productDescription":"120260, 10 p.","ipdsId":"IP-129962","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":403054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lassen Volcanic National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.09655761718749,\n              39.85915479295669\n            ],\n            [\n              -120.487060546875,\n              39.85915479295669\n            ],\n            [\n              -120.487060546875,\n              41.13729606112276\n            ],\n            [\n              -122.09655761718749,\n              41.13729606112276\n            ],\n            [\n              -122.09655761718749,\n              39.85915479295669\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"517","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wenderott, Zachary","contributorId":292799,"corporation":false,"usgs":false,"family":"Wenderott","given":"Zachary","affiliations":[{"id":39913,"text":"former WERC","active":true,"usgs":false}],"preferred":false,"id":845823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":845824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":845825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farris, Calvin A.","contributorId":292802,"corporation":false,"usgs":false,"family":"Farris","given":"Calvin","email":"","middleInitial":"A.","affiliations":[{"id":63015,"text":"National Park Service, Division of Fire and Aviation Management, P.O. Box 1713, Klamath Falls, OR 97601, USA","active":true,"usgs":false}],"preferred":false,"id":845826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherriff, Rosemary L.","contributorId":243263,"corporation":false,"usgs":false,"family":"Sherriff","given":"Rosemary L.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":845827,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240914,"text":"70240914 - 2022 - Temperature explains the formation of a metalimnetic oxygen minimum in a deep mesotrophic lake","interactions":[],"lastModifiedDate":"2023-03-01T14:10:49.606498","indexId":"70240914","displayToPublicDate":"2022-05-13T07:06:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Temperature explains the formation of a metalimnetic oxygen minimum in a deep mesotrophic lake","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Green Lake, a deep mesotrophic lake located in a primarily agricultural watershed in central Wisconsin, USA, has experienced annual metalimnetic oxygen minima since the early 20th century. However, the severity of the phenomenon has increased over time, and late-summer dissolved oxygen (DO) concentrations have typically been &lt;3 mg L<sup>−1</sup><span>&nbsp;</span>in recent years. In situ, high-frequency observations of oxygen depletion at multiple depths reveal that while DO consumption during stratification occurs most rapidly in the metalimnion, there is synchrony between DO time series extending into the hypolimnion. A biochemical oxygen demand-based modeling approach suggests that much of the relationship between water depth and respiration rates can be explained by differences in water temperature. The amount of labile organic matter present throughout the water column at the onset of stratification seems to be a primary determinant of the severity of the annual metalimnetic DO minimum in late summer. Productivity has increased in the lake as a result of increased nutrient loading and is the likely driver of the decrease in minimum DO concentrations. In addition, the onset and duration of stratification is an important factor in determining the severity of the DO minimum.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/20442041.2022.2029318","usgsCitation":"McDonald, C.P., Saeed, M.N., Robertson, D., and Prellwitz, S., 2022, Temperature explains the formation of a metalimnetic oxygen minimum in a deep mesotrophic lake: Inland Waters, v. 12, no. 3, p. 331-340, https://doi.org/10.1080/20442041.2022.2029318.","productDescription":"10 p.","startPage":"331","endPage":"340","ipdsId":"IP-130850","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":413529,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Green Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.91822446247156,\n              43.82262549449672\n            ],\n            [\n              -88.90834087063202,\n              43.83836517649874\n            ],\n            [\n              -88.89894493233054,\n              43.84398265906054\n            ],\n            [\n              -88.9061948265,\n              43.846597017634764\n            ],\n            [\n              -88.93700687671881,\n              43.83823066688606\n            ],\n            [\n              -88.95404412801562,\n              43.83823066688606\n            ],\n            [\n              -88.95948154864271,\n              43.85130257433417\n            ],\n            [\n              -88.97289385285553,\n              43.84842700046357\n            ],\n            [\n              -88.97905626289956,\n              43.83640037126304\n            ],\n            [\n              -89.01748070199558,\n              43.82254059694685\n            ],\n            [\n              -89.03959287921174,\n              43.81730965704173\n            ],\n            [\n              -89.07402987651457,\n              43.80579997607455\n            ],\n            [\n              -89.06714247705428,\n              43.77675433414515\n            ],\n            [\n              -89.06061757230178,\n              43.756859086882685\n            ],\n            [\n              -89.0374179109609,\n              43.765236839628386\n            ],\n            [\n              -89.03814290037785,\n              43.778848185761774\n            ],\n            [\n              -88.97941875760802,\n              43.800044303806146\n            ],\n            [\n              -88.96129402218509,\n              43.811555093821624\n            ],\n            [\n              -88.93011947725782,\n              43.81050875002231\n            ],\n            [\n              -88.91822446247156,\n              43.82262549449672\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"McDonald, Cory P. 0000-0002-1208-8471","orcid":"https://orcid.org/0000-0002-1208-8471","contributorId":261754,"corporation":false,"usgs":false,"family":"McDonald","given":"Cory","email":"","middleInitial":"P.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":865287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saeed, Mahta Naziri","contributorId":302739,"corporation":false,"usgs":false,"family":"Saeed","given":"Mahta","email":"","middleInitial":"Naziri","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":865289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prellwitz, Stephanie","contributorId":265281,"corporation":false,"usgs":false,"family":"Prellwitz","given":"Stephanie","email":"","affiliations":[{"id":54642,"text":"Green Lake Association","active":true,"usgs":false}],"preferred":false,"id":865290,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70235728,"text":"70235728 - 2022 - Accessibility of environmental data for sharing: The role of UX in large cyberinfrastructure projects","interactions":[],"lastModifiedDate":"2022-08-17T11:52:38.269088","indexId":"70235728","displayToPublicDate":"2022-05-13T06:50:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Accessibility of environmental data for sharing: The role of UX in large cyberinfrastructure projects","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0035\"><span>Incorporating user experience (UX) testing when creating research&nbsp;cyberinfrastructure&nbsp;is often overlooked, but if left too late, the cost of retrofitting is considerable, and the very clients the cyberinfrastructure was built to serve may be lost. Successfully integrating UX testing into the product development cycle can be difficult but rewarding. This paper describes how UX evaluations were incorporated over ten years of operation of DataONE (</span>www.dataone.org<span>), a multi-sector science research cyberinfrastructure project created to support the discovery, access, and&nbsp;sustainability&nbsp;of data about life on Earth and the environment that sustains it. The diverse stakeholders in DataONE include data creators and users such as researchers and government workers across the broad scope of the earth and environmental sciences as well as those who hold and manage data such as libraries and data repositories. Between 2009 and 2019 DataONE members designed and constructed data management tools and services to fulfill the DataONE objectives. To assist in achieving its goals, a participatory design approach was used by establishing several largely volunteer and stakeholder-representative working groups, including the Usability and Assessment Working Group. This Working Group conducted over forty UX evaluations to assess the usability of DataONE products and websites at various stages of the development process. In addition to improving the usability of DataONE products, the UX evaluations fostered community involvement by building trust and engagement with the products being developed. The DataONE UX experience yields several important lessons which will improve the success of other projects. It is our conclusion that UX testing should be a mandatory part of the design of any cyberinfrastructure project.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2021.101317","usgsCitation":"Volentine, R., Specht, A., Allard, S., Frame, M., Hu, R., and Zolly, L., 2022, Accessibility of environmental data for sharing: The role of UX in large cyberinfrastructure projects: Ecological Informatics, v. 63, 101317, 8 p., https://doi.org/10.1016/j.ecoinf.2021.101317.","productDescription":"101317, 8 p.","ipdsId":"IP-123596","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":447798,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2021.101317","text":"Publisher Index Page"},{"id":405253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Volentine, Rachel 0000-0002-4837-8075","orcid":"https://orcid.org/0000-0002-4837-8075","contributorId":295308,"corporation":false,"usgs":false,"family":"Volentine","given":"Rachel","affiliations":[{"id":63836,"text":"University of Tennessee, Knoxville","active":true,"usgs":false}],"preferred":false,"id":849149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Specht, Alison","contributorId":178726,"corporation":false,"usgs":false,"family":"Specht","given":"Alison","email":"","affiliations":[],"preferred":false,"id":849150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allard, Suzie","contributorId":172634,"corporation":false,"usgs":false,"family":"Allard","given":"Suzie","email":"","affiliations":[],"preferred":false,"id":849151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frame, Mike 0000-0001-9995-2172 mike_frame@usgs.gov","orcid":"https://orcid.org/0000-0001-9995-2172","contributorId":4541,"corporation":false,"usgs":true,"family":"Frame","given":"Mike","email":"mike_frame@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":849152,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hu, Rachael 0000-0002-9452-2461","orcid":"https://orcid.org/0000-0002-9452-2461","contributorId":295309,"corporation":false,"usgs":false,"family":"Hu","given":"Rachael","email":"","affiliations":[{"id":63837,"text":"California Digital Library, University of California","active":true,"usgs":false}],"preferred":false,"id":849153,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zolly, Lisa 0000-0003-3595-7809 lisa_zolly@usgs.gov","orcid":"https://orcid.org/0000-0003-3595-7809","contributorId":484,"corporation":false,"usgs":true,"family":"Zolly","given":"Lisa","email":"lisa_zolly@usgs.gov","affiliations":[],"preferred":true,"id":849148,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232185,"text":"70232185 - 2022 - Quantifying the conservation status and abundance trends of wildlife communities with detection-nondetection data","interactions":[],"lastModifiedDate":"2022-12-01T15:57:19.990542","indexId":"70232185","displayToPublicDate":"2022-05-13T06:48:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the conservation status and abundance trends of wildlife communities with detection-nondetection data","docAbstract":"<p>Effective conservation requires understanding species' abundance patterns and demographic rates across space and time. Ideally, such knowledge should be available for whole communities, as variation in species' dynamics can elucidate factors leading to biodiversity losses. However, collecting data to simultaneously estimate abundance and demographic rates is often prohibitively time-intensive and expensive for communities of species. We developed a “multi-species dynamic N-occupancy model” to estimate unbiased, community-wide relative abundance and demographic rates. Our model uses detection-nondetection data (e.g., repeated presence-absence surveys) to estimate both species- and community-level parameters as well as the effects of environmental factors. We conducted a simulation study that validated our modeling framework, demonstrating how and when such an approach can be valuable. Using data from a network of camera traps across tropical equatorial Africa, we then used our model to evaluate the statuses and trends of a forest-dwelling antelope community. We estimated relative abundance, rates of recruitment (i.e., reproduction and immigration), and apparent survival probabilities for each species' local population. Our analysis indicated that the antelope community was fairly stable in this region (although 17% of populations [species-park combinations] declined over the study period), with variation in apparent survival linked more closely to differences among national parks rather than individual species' life histories. The multi-species dynamic N-occupancy model requires only detection-nondetection data to evaluate the population dynamics of multiple sympatric species and can thus be a valuable tool for conservation efforts seeking to understand the reasons behind recent biodiversity&nbsp;loss.</p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13934","usgsCitation":"Farr, M.T., O’Brien, T.O., Yackulic, C., and Zipkin, E.F., 2022, Quantifying the conservation status and abundance trends of wildlife communities with detection-nondetection data: Conservation Biology, v. 36, no. 6, e13934, 11 p., https://doi.org/10.1111/cobi.13934.","productDescription":"e13934, 11 p.","ipdsId":"IP-131250","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":447800,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.13934","text":"Publisher Index Page"},{"id":402056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Farr, Matthew T","contributorId":292414,"corporation":false,"usgs":false,"family":"Farr","given":"Matthew","email":"","middleInitial":"T","affiliations":[{"id":62897,"text":"Dept. of Integrative Biology, Michigan State University, East Lansing, MI 48824; Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":844497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, Timothy O","contributorId":292415,"corporation":false,"usgs":false,"family":"O’Brien","given":"Timothy","email":"","middleInitial":"O","affiliations":[{"id":62898,"text":"Wildlife Conservation Society, Global Conservation Program, Bronx, NY","active":true,"usgs":false}],"preferred":false,"id":844498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":844499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":844500,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252112,"text":"70252112 - 2022 - Evaluation for internal consistency in the thermodynamic network involving fluorite, cryolite and villiaumite solubilities and aqueous species at 25°C and 1 bar","interactions":[],"lastModifiedDate":"2024-03-14T11:45:36.5056","indexId":"70252112","displayToPublicDate":"2022-05-13T06:43:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2748,"text":"Mineralogical Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation for internal consistency in the thermodynamic network involving fluorite, cryolite and villiaumite solubilities and aqueous species at 25°C and 1 bar","docAbstract":"<div class=\"abstract-content\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>Thermodynamic data are constrained by the interrelated thermodynamic equations in addition to the observational measurements and their uncertainties. The consequence is a network of thermodynamic properties that can be evaluated for their internal consistency. In this study, three fluoride minerals that can cause high fluoride concentrations in groundwaters are evaluated for their solubilities and their internal thermodynamic consistency with calorimetric, isopiestic and electrochemical measurements: fluorite, CaF<span class=\"sub\">2</span>, cryolite, Na<span class=\"sub\">3</span>AlF<span class=\"sub\">6</span>, and villiaumite, NaF. This evaluation involves the three solids and 13 aqueous species, the free ions of Ca<span class=\"sup\">2+</span>, Na<span class=\"sup\">+</span>, Al<span class=\"sup\">3+</span><span>&nbsp;</span>and F<span class=\"sup\">–</span>, and the hydroxido and fluorido complexes of Al<span class=\"sup\">3+</span>, and the CaF<span class=\"sup\">+</span><span>&nbsp;</span>ion pair. For the fluorite–cryolite–villiaumite–aqueous species network, the number of components is minimal, and the solubility studies are mostly of high quality. Re-evaluations of original data using<span>&nbsp;</span><span class=\"italic\">PHREEQC</span><span>&nbsp;</span>helps to broaden the quantitative evaluation of thermodynamic properties and to resolve apparent discrepancies. A check on this thermodynamic network shows that through a careful appraisal of the literature, a highly consistent set of values can be derived. The resultant infinite-dilution solubility-product constants at 25°C and 1 bar are: for fluorite solubility, log<span class=\"italic\">K</span><span class=\"sub\">sp</span><span>&nbsp;</span>= –10.57 ± 0.08; for cryolite solubility, log<span class=\"italic\">K</span><span class=\"sub\">sp</span><span>&nbsp;</span>= –33.9 ± 0.2; and for villiaumite solubility, log<span class=\"italic\">K</span><span class=\"sub\">sp</span><span>&nbsp;</span>= –0.4981 ± 0.003.</p></div></div>","language":"English","publisher":"Cambridge University Press","doi":"10.1180/mgm.2022.40","usgsCitation":"Nordstrom, D.K., 2022, Evaluation for internal consistency in the thermodynamic network involving fluorite, cryolite and villiaumite solubilities and aqueous species at 25°C and 1 bar: Mineralogical Magazine, v. 86, no. 4, p. 652-660, https://doi.org/10.1180/mgm.2022.40.","productDescription":"9 p.","startPage":"652","endPage":"660","ipdsId":"IP-135017","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":426631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":896660,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}