{"pageNumber":"40","pageRowStart":"975","pageSize":"25","recordCount":10449,"records":[{"id":70234241,"text":"70234241 - 2022 - Flexible multimethod approach for seismic site characterization","interactions":[],"lastModifiedDate":"2022-09-01T14:53:32.905954","indexId":"70234241","displayToPublicDate":"2022-08-04T08:50:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2453,"text":"Journal of Seismology","active":true,"publicationSubtype":{"id":10}},"title":"Flexible multimethod approach for seismic site characterization","docAbstract":"<p>We describe the flexible multimethod seismic site characterization technique for obtaining shear-wave velocity (<i>V</i><sub><i>S</i></sub>) profiles and derivative information, such as the time-averaged<span>&nbsp;</span><i>V</i><sub><i>S</i></sub><span>&nbsp;</span>of the upper 30&nbsp;m (<i>V</i><sub><i>S30</i></sub>). Simply stated, the multimethod approach relies on the application of multiple independent noninvasive site characterization acquisition and analysis techniques utilized in a flexible field-based approach through a decision process based on primary factors such as the investigator’s available equipment, field logistics (e.g., available array deployment space, urban versus rural), geologic setting, and funding among other primary factors. In a multimethod approach, sites ideally should be characterized using both active and passive noninvasive (i.e., no drilling and only minimal disturbance to the ground surface) methods. Almost without exception, we recommend the use of at least one active-source technique for analyzing surface waves, which in the current state of practice would include one or more of the following: spectral analysis of surface waves (SASW; commonly Rayleigh waves) and multichannel analysis of surface waves (MASW; Rayleigh and/or Love waves). In addition, passive-source microtremor array methods (MAMs) using linear (one-dimensional) and two-dimensional arrays may be appropriate or even required for characterizing a given site. Similarly, the microtremor horizontal-to-vertical spectral ratio (mHVSR) method can be valuable for identifying shallow rock sites. Finally, P- and SH-wave seismic refraction methods warrant consideration, especially at rock and shallow-rock sites.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10950-022-10102-y","usgsCitation":"Stephenson, W.J., Yong, A., and Martin, A., 2022, Flexible multimethod approach for seismic site characterization: Journal of Seismology, v. 26, p. 687-711, https://doi.org/10.1007/s10950-022-10102-y.","productDescription":"25 p.","startPage":"687","endPage":"711","ipdsId":"IP-137567","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":446927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10950-022-10102-y","text":"Publisher Index Page"},{"id":404819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2022-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":848304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yong, Alan 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":204730,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":848305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Antony","contributorId":243672,"corporation":false,"usgs":false,"family":"Martin","given":"Antony","affiliations":[],"preferred":false,"id":848306,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250192,"text":"70250192 - 2022 - Outgassing through magmatic fractures enables effusive eruption of silicic magma","interactions":[],"lastModifiedDate":"2023-11-28T12:45:51.339818","indexId":"70250192","displayToPublicDate":"2022-08-04T06:40:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Outgassing through magmatic fractures enables effusive eruption of silicic magma","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0055\">Several mechanisms have been proposed to allow highly viscous silicic<span>&nbsp;</span>magma<span>&nbsp;to outgas efficiently enough to erupt effusively. There is increasing evidence that challenges the classic foam-collapse model in which gas escapes through permeable bubble networks, and instead suggests that magmatic fracturing and/or accompanying localized fragmentation and welding within the conduit play an important role in outgassing. The 2011–2012 eruption at Cordón Caulle volcano, Chile, provides direct observations of the role of magmatic fractures. This eruption exhibited a months-long hybrid phase, in which rhyolitic lava extrusion was accompanied by vigorous gas-and-tephra venting through fractures in the&nbsp;lava dome&nbsp;surface. Some of these fractures were preserved as tuffisites (tephra-filled veins) in erupted lava and bombs. We integrate constraints from petrologic analyses of erupted products and video analyses of gas-and-tephra venting to construct a model for magma ascent in a conduit. The one-dimensional, two-phase, steady-state model considers outgassing through deforming permeable bubble networks, magmatic fractures, and adjacent wall rock. Simulations for a range of plausible magma ascent conditions indicate that the eruption of low-porosity lava observed at Cordón Caulle volcano occurs because of significant gas flux through&nbsp;fracture networks&nbsp;in the upper conduit. This modeling emphasizes the important role that outgassing through magmatic fractures plays in sustaining effusive or hybrid eruptions of silicic magma and in facilitating explosive-effusive transitions.</span></p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2022.107617","usgsCitation":"Crozier, J.A., Tramontano, S., Forte, P., Oliva, S., Gonnermann, H.M., Lev, E., Manga, M., Myers, M., Rader, E., Ruprecht, P., Tuffen, H., Paisley, R., Houghton, B.F., Shea, T., Schipper, I., and Castro, J., 2022, Outgassing through magmatic fractures enables effusive eruption of silicic magma: Journal of Volcanology and Geothermal Research, v. 430, 107617, 20 p., https://doi.org/10.1016/j.jvolgeores.2022.107617.","productDescription":"107617, 20 p.","ipdsId":"IP-138218","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":446936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2022.107617","text":"Publisher Index Page"},{"id":423005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Puyehue Cordon Caulle volcanic complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.61990988089345,\n              -40.078923481891515\n            ],\n            [\n              -72.61990988089345,\n              -41.030483417571034\n            ],\n            [\n              -71.56522238089345,\n              -41.030483417571034\n            ],\n            [\n              -71.56522238089345,\n              -40.078923481891515\n            ],\n            [\n              -72.61990988089345,\n              -40.078923481891515\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"430","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Crozier, Joshua Allen 0000-0001-8996-3441","orcid":"https://orcid.org/0000-0001-8996-3441","contributorId":331790,"corporation":false,"usgs":true,"family":"Crozier","given":"Joshua","email":"","middleInitial":"Allen","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":888768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tramontano, Samantha","contributorId":292560,"corporation":false,"usgs":false,"family":"Tramontano","given":"Samantha","email":"","affiliations":[{"id":62936,"text":"CUNY","active":true,"usgs":false}],"preferred":false,"id":888769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forte, Pablo 0000-0002-4583-3749","orcid":"https://orcid.org/0000-0002-4583-3749","contributorId":331810,"corporation":false,"usgs":false,"family":"Forte","given":"Pablo","email":"","affiliations":[{"id":79285,"text":"Instituto de Estudios Andinos","active":true,"usgs":false}],"preferred":false,"id":888770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliva, Sarah 0000-0003-3197-9701","orcid":"https://orcid.org/0000-0003-3197-9701","contributorId":331811,"corporation":false,"usgs":false,"family":"Oliva","given":"Sarah","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":888771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gonnermann, Helge M.","contributorId":48465,"corporation":false,"usgs":false,"family":"Gonnermann","given":"Helge","email":"","middleInitial":"M.","affiliations":[{"id":35613,"text":"Department of Earth Science, Rice University, Houston, TX 77005","active":true,"usgs":false}],"preferred":false,"id":888772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":888773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manga, Michael 0000-0003-3286-4682","orcid":"https://orcid.org/0000-0003-3286-4682","contributorId":265640,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":888774,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Myers, Madison 0000-0003-2271-4445","orcid":"https://orcid.org/0000-0003-2271-4445","contributorId":331812,"corporation":false,"usgs":false,"family":"Myers","given":"Madison","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":888775,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rader, Erika 0000-0001-8205-3461","orcid":"https://orcid.org/0000-0001-8205-3461","contributorId":331813,"corporation":false,"usgs":false,"family":"Rader","given":"Erika","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":888776,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ruprecht, Philipp","contributorId":199796,"corporation":false,"usgs":false,"family":"Ruprecht","given":"Philipp","email":"","affiliations":[{"id":7135,"text":"Lamont Doherty Earth Observatory, Columbia University, Palisades, NY","active":true,"usgs":false},{"id":35453,"text":"University of Leeds, UK","active":true,"usgs":false}],"preferred":false,"id":888777,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tuffen, Hugh","contributorId":315401,"corporation":false,"usgs":false,"family":"Tuffen","given":"Hugh","email":"","affiliations":[{"id":52168,"text":"Lancaster University, UK","active":true,"usgs":false}],"preferred":false,"id":888778,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Paisley, Rebecca","contributorId":315412,"corporation":false,"usgs":false,"family":"Paisley","given":"Rebecca","email":"","affiliations":[{"id":68310,"text":"Cornish Lithium Ltd, UK","active":true,"usgs":false}],"preferred":false,"id":888779,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":888780,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shea, Tom 0000-0001-7378-684X","orcid":"https://orcid.org/0000-0001-7378-684X","contributorId":223773,"corporation":false,"usgs":false,"family":"Shea","given":"Tom","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":888781,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schipper, Ian 0000-0002-9064-3370","orcid":"https://orcid.org/0000-0002-9064-3370","contributorId":331814,"corporation":false,"usgs":false,"family":"Schipper","given":"Ian","email":"","affiliations":[{"id":56217,"text":"Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":888782,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Castro, Jonathan","contributorId":315400,"corporation":false,"usgs":false,"family":"Castro","given":"Jonathan","affiliations":[{"id":68305,"text":"Johannes Gutenberg Universitat Mainz, Germany","active":true,"usgs":false}],"preferred":false,"id":888783,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70256656,"text":"70256656 - 2022 - Are we falling short on restoring oysters at a regional scale?","interactions":[],"lastModifiedDate":"2024-08-29T15:26:43.155388","indexId":"70256656","displayToPublicDate":"2022-08-03T10:22:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Are we falling short on restoring oysters at a regional scale?","docAbstract":"<p><span>Across coastal areas of the northern Gulf of Mexico, the&nbsp;</span><i>Deepwater Horizon</i><span>&nbsp;oil spill resulted in significant ecological injury, and over 8 billion USD directed to restoration activities. Oyster restoration projects were implemented with regional goals of restoring oyster abundance, spawning stock, and population resilience. Measuring regional or large-scale ecosystem restoration outcomes challenges traditional project-specific monitoring and outcome reporting. We examine the outcomes of oyster restoration at the project-level and discuss potential pathways to measure progress toward region-level goals. An estimated 15 km</span><sup>2</sup><span>&nbsp;of oyster habitat was restored across 11 different estuaries with 62 individual reef footprints created, ranging in size from ~0.2 to 1.45 km</span><sup>2</sup><span>. Individual sites were distributed across the salinity gradient, and all reefs were subtidal. One-year post-restoration, mean total oyster density across all sites was 53.0 ± 60.7 ind m</span><sup>−2</sup><span>&nbsp;of which 38.4 ± 42.2 ind m</span><sup>−2</sup><span>&nbsp;were adult (&gt;25 mm shell height) oysters. Recent data (2018/2019) available for all sites indicates reduced densities of total oysters (44.6 ± 70.9 ind m</span><sup>−2</sup><span>) and adult oysters (14.6 ± 21.6 ind m</span><sup>−2</sup><span>). These data provide insight into project specific outcomes, suggesting an overall enhancement in oyster abundance compared to pre-restoration, but fall short of informing outcomes at the regional-level that incorporate cumulative effects on adjacent and connected reef populations, or inform overall resiliency of the regional oyster resource. Developing regional outcome benchmarks that enable assessment of cumulative and synergistic impacts of individual projects may benefit from broader spatial and temporal monitoring requirements that can better inform development of regional tools or models. Such tools would enable cumulative effects analyses examining net resource change, resilience and assess impacts of restoration activities on regional resource status.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-022-01691-y","usgsCitation":"La Peyre, M., Marshall, D.A., Buie, S.C., Hijuelos, A., and Steyer, G., 2022, Are we falling short on restoring oysters at a regional scale?: Environmental Management, v. 70, p. 581-592, https://doi.org/10.1007/s00267-022-01691-y.","productDescription":"12 p.","startPage":"581","endPage":"592","ipdsId":"IP-138828","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.36958808470514,\n              24.1126519217827\n            ],\n            [\n              -80.85940900302997,\n              24.714635678707992\n            ],\n            [\n              -81.10116830711196,\n              25.46706673170469\n            ],\n            [\n              -82.39537707405206,\n              27.091011945078975\n            ],\n            [\n              -82.65786309241751,\n              28.308364041898628\n            ],\n            [\n              -82.5772062119935,\n              28.999162563752748\n            ],\n            [\n              -83.9904926193391,\n              30.19347675768212\n            ],\n            [\n              -85.07008045187222,\n              29.677396598341033\n            ],\n            [\n              -86.43938452544526,\n              30.518697342417497\n            ],\n            [\n              -87.63633030899686,\n              30.340763113128546\n            ],\n            [\n              -88.02876199353206,\n              30.727492702231586\n            ],\n            [\n              -88.68357561069969,\n              30.436884709045927\n            ],\n            [\n              -89.8845804986809,\n              30.130244087006545\n            ],\n            [\n              -89.88022780179678,\n              29.65775338151731\n            ],\n            [\n              -94.0525922925487,\n              29.622956144774975\n            ],\n            [\n              -96.92033720263936,\n              28.066156015973654\n            ],\n            [\n              -97.46297846111713,\n              26.978138281620108\n            ],\n            [\n              -97.21131853158765,\n              25.94538903066173\n            ],\n            [\n              -83.36958808470514,\n              24.1126519217827\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"70","noUsgsAuthors":false,"publicationDate":"2022-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, Danielle Aguilar","contributorId":341509,"corporation":false,"usgs":false,"family":"Marshall","given":"Danielle","email":"","middleInitial":"Aguilar","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buie, Sarah Catherine Leblanc","contributorId":341510,"corporation":false,"usgs":false,"family":"Buie","given":"Sarah","email":"","middleInitial":"Catherine Leblanc","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hijuelos, Ann","contributorId":341511,"corporation":false,"usgs":false,"family":"Hijuelos","given":"Ann","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":908526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steyer, Gregory 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":218813,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":908527,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236526,"text":"70236526 - 2022 - Evaluating hydrologic region assignment techniques for ungaged basins in Alaska, USA","interactions":[],"lastModifiedDate":"2022-11-16T17:03:55.108551","indexId":"70236526","displayToPublicDate":"2022-08-03T07:21:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating hydrologic region assignment techniques for ungaged basins in Alaska, USA","docAbstract":"<div class=\"article-section__content en main\"><p>Building continental-scale hydrologic models in data-sparse regions requires an understanding of spatial variation in hydrologic processes. Extending these models to ungaged locations requires techniques to group ungaged locations with gaged ones to make process importance and model parameter transfer decisions to ungaged locations. This analysis (1) tested the utility of fundamental streamflow statistics (FDSS) in defining hydrologic regions across Alaska, USA; (2) evaluated if the hydrologic regions represented different hydrologic processes; and (3) tested the ability of random forest and direct assignment techniques, informed by statistically estimated FDSS (FDSSest) and basin characteristics (BCs), to correctly assign ungaged locations to hydrologic regions. Six hydrologic regions were identified across the domain using FDSS. Differences in mean flow, phase shift of the seasonal cycle, and skewness were the primary characteristics defining each region. Two regions represented arctic and continental climates, generally in the northern portion of the domain; four regions represented the southern, maritime portion of the domain. Random forest modeling with BCs (67% success rate) outperformed FDSSest (58% success rate) suggesting that no statistically estimated streamflow was needed to assign ungaged locations to a region. For regions with many sites, most region assignment techniques performed similarly. Random forest modeling performance declined when BCs and FDSSest were both used to predict region membership, suggesting FDSSest had little information in addition to BCs. This analysis demonstrated that FDSS-based hydrologic regions discern process differences across a data-sparse and hydrologically diverse landscape. Process importance rankings from random forest-derived BCs provided model-independent information for making modeling decisions.</p></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4028","usgsCitation":"Barnhart, T., Farmer, W., Hammond, J., Sexstone, G., Curran, J.H., Koch, J.C., and Driscoll, J.M., 2022, Evaluating hydrologic region assignment techniques for ungaged basins in Alaska, USA: River Research and Applications, v. 38, no. 9, p. 1569-1584, https://doi.org/10.1002/rra.4028.","productDescription":"16 p.","startPage":"1569","endPage":"1584","ipdsId":"IP-132476","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":435746,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TUAO5G","text":"USGS data release","linkHelpText":"Basin Characteristics and Streamflow Statistics for Selected Gages, Alaska, USA (ver. 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,{"id":70234352,"text":"70234352 - 2022 - Evidence gaps and diversity among potential win–win solutions for conservation and human infectious disease control","interactions":[],"lastModifiedDate":"2022-08-09T12:30:23.033824","indexId":"70234352","displayToPublicDate":"2022-08-03T07:10:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11451,"text":"The Lancet Planetary Health","active":true,"publicationSubtype":{"id":10}},"title":"Evidence gaps and diversity among potential win–win solutions for conservation and human infectious disease control","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ceab10\" class=\"abstract author\"><div id=\"ceabs10\"><p id=\"spara130\">As sustainable development practitioners have worked to “ensure healthy lives and promote well-being for all” and “conserve life on land and below water”, what progress has been made with win–win interventions that reduce human infectious disease burdens while advancing conservation goals? Using a systematic literature review, we identified 46 proposed solutions, which we then investigated individually using targeted literature reviews. The proposed solutions addressed diverse conservation threats and human infectious diseases, and thus, the proposed interventions varied in scale, costs, and impacts. Some potential solutions had medium-quality to high-quality evidence for previous success in achieving proposed impacts in one or both sectors. However, there were notable evidence gaps within and among solutions, highlighting opportunities for further research and adaptive implementation. Stakeholders seeking win–win interventions can explore this Review and an online database to find and tailor a relevant solution or brainstorm new solutions.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/S2542-5196(22)00148-6","usgsCitation":"Hopkins, S.R., Lafferty, K.D., Wood, C., Olson, S.H., Buck, J.C., De Leo, G.A., Fiorella, K., Fornberg, J., Garchitorena, A., Jones, I.J., Kuris, A., Kwong, L.H., LeBoa, C., Leon, A.E., Lund, A., MacDonald, A.J., Metz, D., Nova, N., Peel, A., Remais, J.V., Stewart Merrill, T.E., Wilson, M., Bonds, M., Dobson, A., Lopez-Carr, D., Howard, M., Mandle, L., and Sokolow, S.H., 2022, Evidence gaps and diversity among potential win–win solutions for conservation and human infectious disease control: The Lancet Planetary Health, v. 6, no. 8, p. e694-e705, https://doi.org/10.1016/S2542-5196(22)00148-6.","productDescription":"12 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David","contributorId":193003,"corporation":false,"usgs":false,"family":"Lopez-Carr","given":"David","email":"","affiliations":[],"preferred":false,"id":848664,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Howard, Meghan","contributorId":294703,"corporation":false,"usgs":false,"family":"Howard","given":"Meghan","affiliations":[],"preferred":false,"id":848665,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Mandle, Lisa","contributorId":218896,"corporation":false,"usgs":false,"family":"Mandle","given":"Lisa","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":848666,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Sokolow, Susanne H.","contributorId":52503,"corporation":false,"usgs":false,"family":"Sokolow","given":"Susanne","email":"","middleInitial":"H.","affiliations":[{"id":6986,"text":"Stanford 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,{"id":70234147,"text":"70234147 - 2022 - Reproducibility and variability of earthquake subsidence estimates from saltmarshes of a Cascadia estuary","interactions":[],"lastModifiedDate":"2022-10-31T14:29:19.249559","indexId":"70234147","displayToPublicDate":"2022-08-02T08:26:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"Reproducibility and variability of earthquake subsidence estimates from saltmarshes of a Cascadia estuary","docAbstract":"We examine fossil foraminiferal assemblages from 20 sediment cores to assess sudden relative sea-level (RSL) changes across three mud-over-peat contacts at three salt marshes in northern Humboldt Bay, California (~44.8°N, -124.2°W). We use a validated foraminiferal-based Bayesian transfer function to evaluate the variability of subsidence stratigraphy at a range of 30-6000 m across an estuary. We use the consistency in RSL reconstructions to support estimates of coseismic subsidence from megathrust earthquakes. To assess the variability of subsidence estimates, we analyzed: nine examples of the 1700 CE earthquake (average of 0.64 ±0.14 m subsidence; range of 0.24 ±0.27 to 1.00 ±0.44 m), five examples of the ca. 875 cal a BP earthquake (average of 0.43 ±0.16 m; range of 0.41 ±0.36 to 0.48 ±0.39 m), and six examples of the ca. 1120 cal a BP earthquake (average of 0.70±0.18 m; range of 0.47 ±0.36 to 0.80 ±0.49 m). Our subsidence estimate results suggest ~±0.3 m of within-site (intra-site) variability, which is consistent with previous research. We also identify inconsistencies between sites (inter-site) at northern Humboldt Bay greater than one-sigma uncertainties, driven by variable foraminiferal assemblages in the mud overlying the 1700 CE subsidence contact. Therefore, we recommend at least two quantitative microfossil reconstructions across the same stratigraphic sequence from different marsh sites within an estuary to account for estimate variability and provide increased confidence in vertical coseismic deformation estimates. Our results have broad implications for quantitative, microfossil-based reconstructions of coseismic subsidence at temperate coastlines globally.","language":"English","publisher":"Wiley","doi":"10.1002/jqs.3446","usgsCitation":"Padgett, J.S., Engelhart, S.E., Kelsey, H., Witter, R., and Cahill, N., 2022, Reproducibility and variability of earthquake subsidence estimates from saltmarshes of a Cascadia estuary: Journal of Quaternary Science, v. 37, no. 7, p. 1294-1312, https://doi.org/10.1002/jqs.3446.","productDescription":"19 p.","startPage":"1294","endPage":"1312","ipdsId":"IP-137254","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":446956,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/jqs.3446","text":"External 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,{"id":70236053,"text":"70236053 - 2022 - Comparisons of the NGA-Subduction ground motion models","interactions":[],"lastModifiedDate":"2022-10-17T16:04:02.593176","indexId":"70236053","displayToPublicDate":"2022-07-28T06:53:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Comparisons of the NGA-Subduction ground motion models","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>In this article, ground-motion models (GMMs) for subduction earthquakes recently developed as part of the Next Generation Attenuation-Subduction (NGA-Sub) project are compared. The four models presented in this comparison study are documented in their respective articles submitted along with this article. Each of these four models is based on the analysis of the large NGA-Sub database. Three of the four current models are developed for a global version as well as separate regionalized models. The fourth model was developed based on earthquakes only from Japan, and as such is applicable only for Japan. As part of this comparison study, a general discussion on the parameterization of the four models and the regionalization of the three models is provided. The specific strengths and or weaknesses or the technical decisions and justifications of any one model are not part of this comparison. A selected suite of deterministic attenuation curves and spectra are presented for the models along with a selected suite of currently used subduction models. A limited number of comparisons are presented in this article with a larger number of comparisons and the digital values provided in the electronic attachment. In addition to these scenario calculation comparisons, the results from a standard probabilistic seismic hazard analysis (PSHA) for two sites located in the Pacific Northwest Region in the state of Washington are presented. These calculations highlight the potential impact of using the new GMMs. Based on the comparisons presented here, a general understanding of these new GMMs can be obtained with the expectation that the implementation of a specific seismic hazard study should incorporate similar and additional comparisons and sensitivity studies pertinent to the site of interest.</p></div></div>","language":"English","publisher":"Sage Publications","doi":"10.1177/87552930221112688","usgsCitation":"Gregor, N., Addo, K.O., Abrahamson, N.A., Al Atik, L., Atkinson, G.M., Boore, D., Bozorgnia, Y., Campbell, K.W., Chiou, B.S., Gulerce, Z., Hassani, B., Kishida, T., Kuehn, N., Mazzoni, S., Midorikawa, S., Parker, G.A., Si, H., Stewart, J.P., and Youngs, R.R., 2022, Comparisons of the NGA-Subduction ground motion models: Earthquake Spectra, v. 38, no. 4, p. 2580-2610, https://doi.org/10.1177/87552930221112688.","productDescription":"31 p.","startPage":"2580","endPage":"2610","ipdsId":"IP-125220","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":405674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Gregor, Nick","contributorId":140531,"corporation":false,"usgs":false,"family":"Gregor","given":"Nick","email":"","affiliations":[],"preferred":false,"id":849836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Addo, Kofi O.","contributorId":213947,"corporation":false,"usgs":false,"family":"Addo","given":"Kofi","email":"","middleInitial":"O.","affiliations":[{"id":37568,"text":"BC Hydro","active":true,"usgs":false}],"preferred":false,"id":849837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrahamson, Norman A.","contributorId":115451,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norman","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":849838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al Atik, Linda","contributorId":140526,"corporation":false,"usgs":false,"family":"Al Atik","given":"Linda","email":"","affiliations":[],"preferred":false,"id":849839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atkinson, Gail M.","contributorId":60515,"corporation":false,"usgs":false,"family":"Atkinson","given":"Gail","email":"","middleInitial":"M.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":849840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":849841,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bozorgnia, Yousef","contributorId":40101,"corporation":false,"usgs":false,"family":"Bozorgnia","given":"Yousef","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":849842,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Campbell, Kenneth W.","contributorId":74391,"corporation":false,"usgs":false,"family":"Campbell","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":849843,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chiou, Brian S.-J.","contributorId":295734,"corporation":false,"usgs":false,"family":"Chiou","given":"Brian","email":"","middleInitial":"S.-J.","affiliations":[{"id":34112,"text":"California Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":849844,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gulerce, Zeynep","contributorId":295690,"corporation":false,"usgs":false,"family":"Gulerce","given":"Zeynep","email":"","affiliations":[{"id":49823,"text":"Middle East Technical University","active":true,"usgs":false}],"preferred":false,"id":849845,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hassani, Behzad","contributorId":275298,"corporation":false,"usgs":false,"family":"Hassani","given":"Behzad","email":"","affiliations":[{"id":37568,"text":"BC Hydro","active":true,"usgs":false}],"preferred":false,"id":849846,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kishida, Tadahiro","contributorId":140538,"corporation":false,"usgs":false,"family":"Kishida","given":"Tadahiro","email":"","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":849847,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kuehn, Nicolas","contributorId":229633,"corporation":false,"usgs":false,"family":"Kuehn","given":"Nicolas","email":"","affiliations":[{"id":6772,"text":"UC Los Angeles","active":true,"usgs":false}],"preferred":false,"id":849848,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mazzoni, Silvia","contributorId":217354,"corporation":false,"usgs":false,"family":"Mazzoni","given":"Silvia","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":849849,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Midorikawa, Saburoh","contributorId":197120,"corporation":false,"usgs":false,"family":"Midorikawa","given":"Saburoh","email":"","affiliations":[],"preferred":false,"id":849850,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":849851,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Si, Hongjun","contributorId":295700,"corporation":false,"usgs":false,"family":"Si","given":"Hongjun","email":"","affiliations":[{"id":63905,"text":"Seismological Research Institute Inc.","active":true,"usgs":false}],"preferred":false,"id":849852,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stewart, Jonathan P.","contributorId":100110,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":849853,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Youngs, Robert R.","contributorId":295735,"corporation":false,"usgs":false,"family":"Youngs","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":39607,"text":"Wood","active":true,"usgs":false}],"preferred":false,"id":849854,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70255086,"text":"70255086 - 2022 - Broad Whitefish (Coregonus nasus) isotopic niches: Stable isotopes reveal diverse foraging strategies and habitat use in Arctic Alaska","interactions":[],"lastModifiedDate":"2024-06-13T11:21:41.858422","indexId":"70255086","displayToPublicDate":"2022-07-26T06:17:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Broad Whitefish (Coregonus nasus) isotopic niches: Stable isotopes reveal diverse foraging strategies and habitat use in Arctic Alaska","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Understanding the ecological niche of some fishes is complicated by their frequent use of a broad range of food resources and habitats across space and time. Little is known about Broad Whitefish (<i>Coregonus nasus</i>) ecological niches in Arctic landscapes even though they are an important subsistence species for Alaska’s Indigenous communities. We investigated the foraging ecology and habitat use of Broad Whitefish via stable isotope analyses of muscle and liver tissue and otoliths from mature fish migrating in the Colville River within Arctic Alaska. The range of δ<sup>13</sup>C (-31.8– -21.9‰) and δ<sup>15</sup>N (6.6–13.1‰) across tissue types and among individuals overlapped with isotope values previously observed in Arctic lakes and rivers, estuaries, and nearshore marine habitat. The large range of δ<sup>18</sup>O (4.5–10.9‰) and δD (-237.6– -158.9‰) suggests fish utilized a broad spectrum of habitats across elevational and latitudinal gradients. Cluster analysis of muscle δ<sup>13</sup>Cˈ, δ<sup>15</sup>N, δ<sup>18</sup>O, and δD indicated that Broad Whitefish occupied four different foraging niches that relied on marine and land-based (i.e., freshwater and terrestrial) food sources to varying degrees. Most individuals had isotopic signatures representative of coastal freshwater habitat (Group 3; 25%) or coastal lagoon and delta habitat (Group 1; 57%), while individuals that mainly utilized inland freshwater (Group 4; 4%) and nearshore marine habitats (Group 2; 14%) represented smaller proportions. Otolith microchemistry confirmed that individuals with more enriched muscle tissue δ<sup>13</sup>Cˈ, δD, and δ<sup>18</sup>O tended to use marine habitats, while individuals that mainly used freshwater habitats had values that were less enriched. The isotopic niches identified here represent important foraging habitats utilized by Broad Whitefish. To preserve access to these diverse habitats it will be important to limit barriers along nearshore areas and reduce impacts like roads and climate change on natural flow regimes. Maintaining these diverse connected habitats will facilitate long-term population stability, buffering populations from future environmental and anthropogenic perturbations.</p></div></div>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0270474","usgsCitation":"Leppi, J., Rinella, D.J., Wipfli, M.S., and Whitman, M.S., 2022, Broad Whitefish (Coregonus nasus) isotopic niches: Stable isotopes reveal diverse foraging strategies and habitat use in Arctic Alaska: PLoS ONE, v. 17, no. 7, e0270474, 24 p., https://doi.org/10.1371/journal.pone.0270474.","productDescription":"e0270474, 24 p.","ipdsId":"IP-130263","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":447021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0270474","text":"Publisher Index Page"},{"id":430061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -164.60325251109555,\n              68.37356056205553\n            ],\n            [\n              -141.0485650110956,\n              68.37356056205553\n            ],\n            [\n              -141.0485650110956,\n              71.61406743804798\n            ],\n            [\n              -164.60325251109555,\n              71.61406743804798\n            ],\n            [\n              -164.60325251109555,\n              68.37356056205553\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Leppi, Jason C.","contributorId":338571,"corporation":false,"usgs":false,"family":"Leppi","given":"Jason C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":903370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rinella, Daniel J.","contributorId":338572,"corporation":false,"usgs":false,"family":"Rinella","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":81169,"text":"Fish and Wildlife Field Conservation Office","active":true,"usgs":false}],"preferred":false,"id":903371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, Matthew S.","contributorId":338574,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":81170,"text":"Arctic Field Office","active":true,"usgs":false}],"preferred":false,"id":903372,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70234107,"text":"70234107 - 2022 - Crustal permeability changes observed from seismic attenuation: Impacts on multi-mainshock sequences","interactions":[],"lastModifiedDate":"2022-10-17T15:45:49.488302","indexId":"70234107","displayToPublicDate":"2022-07-25T17:05:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Crustal permeability changes observed from seismic attenuation: Impacts on multi-mainshock sequences","docAbstract":"<p><span>We use amplitude ratios from narrowband-filtered earthquake seismograms to measure variations of seismic attenuation over time, providing unique insights into the dynamic state of stress in the Earth’s crust at depth. Our dataset from earthquakes of the 2016-2017 Central Apennines sequence allows us to obtain high-resolution time histories of seismic attenuation (frequency band: 0.5-30 Hz) characterized by strong earthquake dilatation-induced fluctuations at seismogenic depths, caused by the cumulative elastic stress drop after the sequence, as well as damage-induced ones at shallow depths caused by energetic surface waves.</span><br><span>Cumulative stress drop causes negative dilatation, reduced permeability, and seismic attenuation, whereas strong-motion surface waves produce an increase in crack density, and so in permeability and seismic attenuation. In the aftermath of the main shocks of the sequence, we show that the M ≥ 3.5 earthquake occurrence vs. time and distance is consistent with fluid diffusion: diffusion signatures are associated with changes in seismic attenuation during the first days of the Amatrice, Visso-Norcia, and Capitignano sub-sequences. We hypothesize that coseismic permeability changes create fluid diffusion pathways that are at least partly responsible for triggering multi-mainshock seismic sequences. Here we show that anelastic seismic attenuation fluctuates coherently with our hypothesis.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2022.963689","usgsCitation":"Malagnini, L., Parsons, T.E., Munafo, I., Mancini, S., Segou, M., and Geist, E.L., 2022, Crustal permeability changes observed from seismic attenuation: Impacts on multi-mainshock sequences: Frontiers in Earth Science, v. 10, 963689, 27 p., https://doi.org/10.3389/feart.2022.963689.","productDescription":"963689, 27 p.","ipdsId":"IP-131820","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":447023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2022.963689","text":"Publisher Index Page"},{"id":404620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, Luca 0000-0001-5809-9945","orcid":"https://orcid.org/0000-0001-5809-9945","contributorId":245308,"corporation":false,"usgs":false,"family":"Malagnini","given":"Luca","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":847810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":847811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munafo, Irene","contributorId":294359,"corporation":false,"usgs":false,"family":"Munafo","given":"Irene","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":847812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mancini, Simone 0000-0003-3415-2080","orcid":"https://orcid.org/0000-0003-3415-2080","contributorId":225525,"corporation":false,"usgs":false,"family":"Mancini","given":"Simone","email":"","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":847904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Segou, Margarita","contributorId":199044,"corporation":false,"usgs":false,"family":"Segou","given":"Margarita","affiliations":[],"preferred":false,"id":847905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":847813,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70235784,"text":"70235784 - 2022 - A review of asteroid biology in the context of sea star wasting: Possible causes and consequences","interactions":[],"lastModifiedDate":"2022-09-27T16:57:37.17445","indexId":"70235784","displayToPublicDate":"2022-07-22T07:08:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1014,"text":"Biological Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A review of asteroid biology in the context of sea star wasting: Possible causes and consequences","docAbstract":"<div class=\"col-lg-9 article__content\"><div class=\"article__body show-references \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Sea star wasting—marked in a variety of sea star species as varying degrees of skin lesions followed by disintegration—recently caused one of the largest marine die-offs ever recorded on the west coast of North America, killing billions of sea stars. Despite the important ramifications this mortality had for coastal benthic ecosystems, such as increased abundance of prey, little is known about the causes of the disease or the mechanisms of its progression. Although there have been studies indicating a range of causal mechanisms, including viruses and environmental effects, the broad spatial and depth range of affected populations leaves many questions remaining about either infectious or non-infectious mechanisms. Wasting appears to start with degradation of mutable connective tissue in the body wall, leading to disintegration of the epidermis. Here, we briefly review basic sea star biology in the context of sea star wasting and present our current knowledge and hypotheses related to the symptoms, the microbiome, the viruses, and the associated environmental stressors. We also highlight throughout the article knowledge gaps and the data needed to better understand sea star wasting mechanistically, its causes, and potential management.</p></div></div></div></div>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/719928","usgsCitation":"Oulhen, N., Byrne, M., Duffin, P., Gomez-Chiarri, M., Hewson, I., Hodin, J., Konar, B., Lipp, E., Miner, B.G., Newton, A., Schiebelhut, L.M., Smolowitz, R., Wahltinez, S.J., Wessel, G.M., Work, T.M., Zaki, H.A., and Wares, J.P., 2022, A review of asteroid biology in the context of sea star wasting: Possible causes and consequences: Biological Bulletin, v. 234, no. 1, p. 50-75, https://doi.org/10.1086/719928.","productDescription":"26 p.","startPage":"50","endPage":"75","ipdsId":"IP-131688","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":447038,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10642522","text":"External Repository"},{"id":405334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"234","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oulhen, Nathalie","contributorId":295354,"corporation":false,"usgs":false,"family":"Oulhen","given":"Nathalie","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":849267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Maria","contributorId":295355,"corporation":false,"usgs":false,"family":"Byrne","given":"Maria","email":"","affiliations":[{"id":16826,"text":"University of Sydney","active":true,"usgs":false}],"preferred":false,"id":849268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duffin, Paige","contributorId":295356,"corporation":false,"usgs":false,"family":"Duffin","given":"Paige","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":849269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomez-Chiarri, Marta","contributorId":295357,"corporation":false,"usgs":false,"family":"Gomez-Chiarri","given":"Marta","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hewson, Ian","contributorId":295358,"corporation":false,"usgs":false,"family":"Hewson","given":"Ian","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":849271,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hodin, Jason","contributorId":295360,"corporation":false,"usgs":false,"family":"Hodin","given":"Jason","email":"","affiliations":[{"id":63853,"text":"Friday Harbor Labs","active":true,"usgs":false}],"preferred":false,"id":849272,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Konar, Brenda","contributorId":295362,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":849273,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lipp, Erin K","contributorId":295364,"corporation":false,"usgs":false,"family":"Lipp","given":"Erin K","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":849274,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miner, Benjamin G","contributorId":295366,"corporation":false,"usgs":false,"family":"Miner","given":"Benjamin","email":"","middleInitial":"G","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":849275,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Newton, Alisa L","contributorId":295368,"corporation":false,"usgs":false,"family":"Newton","given":"Alisa L","affiliations":[{"id":63854,"text":"Disney's Animals Science and Environment","active":true,"usgs":false}],"preferred":false,"id":849276,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schiebelhut, Lauren M","contributorId":295369,"corporation":false,"usgs":false,"family":"Schiebelhut","given":"Lauren","email":"","middleInitial":"M","affiliations":[{"id":54780,"text":"UC Merced","active":true,"usgs":false}],"preferred":false,"id":849277,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smolowitz, Roxanna","contributorId":295370,"corporation":false,"usgs":false,"family":"Smolowitz","given":"Roxanna","email":"","affiliations":[{"id":39003,"text":"Roger Williams University","active":true,"usgs":false}],"preferred":false,"id":849278,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wahltinez, Sarah J","contributorId":295371,"corporation":false,"usgs":false,"family":"Wahltinez","given":"Sarah","email":"","middleInitial":"J","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":849279,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wessel, Gary M","contributorId":295372,"corporation":false,"usgs":false,"family":"Wessel","given":"Gary","email":"","middleInitial":"M","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":849280,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":849281,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Zaki, Hossam A","contributorId":295373,"corporation":false,"usgs":false,"family":"Zaki","given":"Hossam","email":"","middleInitial":"A","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":849282,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wares, John P","contributorId":295374,"corporation":false,"usgs":false,"family":"Wares","given":"John","email":"","middleInitial":"P","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":849283,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70237997,"text":"70237997 - 2022 - Human populations in the world’s mountains: Spatio-temporal patterns and potential controls","interactions":[],"lastModifiedDate":"2022-11-03T18:05:51.74006","indexId":"70237997","displayToPublicDate":"2022-07-20T12:05:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Human populations in the world’s mountains: Spatio-temporal patterns and potential controls","docAbstract":"<p>Changing climate and human demographics in the world's mountains will have increasingly profound environmental and societal consequences across all elevations. Quantifying current human populations in and near mountains is crucial to ensure that any interventions in these complex social-ecological systems are appropriately resourced, and that valuable ecosystems are effectively protected. However, comprehensive and reproducible analyses on this subject are lacking. Here, we develop and implement an open workflow to quantify the sensitivity of mountain population estimates over recent decades, both globally and for several sets of relevant reporting regions, to alternative input dataset combinations. Relationships between mean population density and several potential environmental covariates are also explored across elevational bands within individual mountain regions (i.e. sub-mountain range scale). Globally, mountain population estimates vary greatly from 0.344 billion (&lt;5% of the corresponding global total) to 2.289 billion (&gt;31%) in 2015. A more detailed analysis using one of the population datasets (GHS-POP) revealed that in 35% of mountain sub-regions, population increased at least twofold over the 40-year period 19752015. The urban proportion of the total mountain population in 2015 ranged from 6% to 39%, depending on the combination of population and urban extent datasets used. At sub-mountain range scale, population density was found to be more strongly associated with climatic than with topographic and protected-area variables, and these relationships appear to have strengthened slightly over time. Such insights may contribute to improved predictions of future mountain population distributions under scenarios of future climatic and demographic change. Overall, our work emphasizes that irrespective of data choices, substantial human populations are likely to be directly affected by and themselves affect mountainous environmental and ecological change. It thereby further underlines the urgency with which the multitudinous challenges concerning the interactions between mountain climate and human societies under change must be tackled.</p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0271466","usgsCitation":"Thornton, J.M., Snethlage, M.A., Sayre, R., Urbach, D.R., Viviroli, D., Ehrlich, D., Muccione, V., Wester, P., Insarov, G., and Adler, C., 2022, Human populations in the world’s mountains: Spatio-temporal patterns and potential controls: PLoS ONE, v. 17, no. 7, e0271466, 17 p., https://doi.org/10.1371/journal.pone.0271466.","productDescription":"e0271466, 17 p.","ipdsId":"IP-134287","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":447051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0271466","text":"Publisher Index Page"},{"id":409117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Thornton, James M.","contributorId":298797,"corporation":false,"usgs":false,"family":"Thornton","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":64685,"text":"Mountain Research Institute","active":true,"usgs":false}],"preferred":false,"id":856476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snethlage, Mark A.","contributorId":298798,"corporation":false,"usgs":false,"family":"Snethlage","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":38838,"text":"Global Mountain Biodiversity Assessment","active":true,"usgs":false}],"preferred":false,"id":856477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sayre, Roger 0000-0001-6703-7105","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":298799,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":856478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urbach, Davnah R.","contributorId":298800,"corporation":false,"usgs":false,"family":"Urbach","given":"Davnah","email":"","middleInitial":"R.","affiliations":[{"id":38838,"text":"Global Mountain Biodiversity Assessment","active":true,"usgs":false}],"preferred":false,"id":856479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Viviroli, Daniel","contributorId":298801,"corporation":false,"usgs":false,"family":"Viviroli","given":"Daniel","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":856480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ehrlich, Daniele","contributorId":298802,"corporation":false,"usgs":false,"family":"Ehrlich","given":"Daniele","email":"","affiliations":[{"id":64686,"text":"Joint Research Center European Commission","active":true,"usgs":false}],"preferred":false,"id":856481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muccione, Veruska","contributorId":298803,"corporation":false,"usgs":false,"family":"Muccione","given":"Veruska","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":856482,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wester, Philippus","contributorId":298804,"corporation":false,"usgs":false,"family":"Wester","given":"Philippus","email":"","affiliations":[{"id":64687,"text":"International Center for Integrated Mountain Development","active":true,"usgs":false}],"preferred":false,"id":856483,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Insarov, Gregory","contributorId":298805,"corporation":false,"usgs":false,"family":"Insarov","given":"Gregory","affiliations":[{"id":49898,"text":"Russian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":856484,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Adler, Carolina","contributorId":298806,"corporation":false,"usgs":false,"family":"Adler","given":"Carolina","affiliations":[{"id":64685,"text":"Mountain Research Institute","active":true,"usgs":false}],"preferred":false,"id":856485,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70236309,"text":"70236309 - 2022 - Tephrochronology of the Miocene Monterey and Modelo Formations, California","interactions":[],"lastModifiedDate":"2022-09-01T12:17:20.986718","indexId":"70236309","displayToPublicDate":"2022-07-17T07:15:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Tephrochronology of the Miocene Monterey and Modelo Formations, California","docAbstract":"Tuff beds have been known in the Miocene Monterey and Modelo Formations since the initial descriptions; however, age control and correlation is predominantly biostratigraphy. Here we combine tephrochronology and biostratigraphy in order to provide numerical age control for eight sedimentary sequences of the Monterey and Modelo Formations from Monterey, California to Orange County, California. We correlate 38 tuffs and tephra beds in the Monterey and Modelo Formations to 26 different dated tuffs found mainly in non-marine sequences in Nevada, Idaho and New Mexico. We also include geochemical data for an additional 19 tuffs in the Monterey and Modelo Formations for which there are no known correlative tuffs and geochemical data for 11 additional tuffs in other units that will add to the Miocene tephrostratigraphy. The identified tuffs range in age from 16 to 7 Ma with 31 tuffs erupted from volcanic centers of the Snake River Plain of northern Nevada to eastern Idaho. Twelve other tuffs erupted from the Southern Nevada Volcanic Field, one from the Sonoma Volcanic Field, north of San Francisco, and the eruptive source of 12 other tuffs is uncertain. These tuffs provide useful correlations of marine sequences deposited at varying depths along offshore Miocene California and possible insight into the distribution of air-fall tephra from so-called super eruptions","language":"English","publisher":"Geological Society of America","doi":"10.1130/2022.2556(08)","usgsCitation":"Knott, J.R., Sarna-Wojcicki, A., Barron, J.A., Wan, E., Heizler, N., and Martinez, P., 2022, Tephrochronology of the Miocene Monterey and Modelo Formations, California: GSA Special Papers, https://doi.org/10.1130/2022.2556(08).","ipdsId":"IP-122368","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":447098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/2022.2556(08)","text":"Publisher Index Page"},{"id":406061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knott, Jeffrey R. 0000-0002-4600-5961","orcid":"https://orcid.org/0000-0002-4600-5961","contributorId":218427,"corporation":false,"usgs":false,"family":"Knott","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":39844,"text":"CSU Fullerton, Department of Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":850545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sarna-Wojcicki, Andrei M. 0000-0002-0244-9149","orcid":"https://orcid.org/0000-0002-0244-9149","contributorId":296073,"corporation":false,"usgs":true,"family":"Sarna-Wojcicki","given":"Andrei M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":850547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":296074,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":850548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heizler, Nancy","contributorId":296075,"corporation":false,"usgs":false,"family":"Heizler","given":"Nancy","email":"","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":850549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martinez, Priscilla","contributorId":296076,"corporation":false,"usgs":false,"family":"Martinez","given":"Priscilla","email":"","affiliations":[{"id":63349,"text":"California State University Fullerton","active":true,"usgs":false}],"preferred":false,"id":850550,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262402,"text":"70262402 - 2022 - Africa’s drylands in a changing world: Challenges for wildlife conservation under climate and land-use changes in the Greater Etosha Landscape","interactions":[],"lastModifiedDate":"2025-01-24T14:19:15.490332","indexId":"70262402","displayToPublicDate":"2022-07-14T10:25:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Africa’s drylands in a changing world: Challenges for wildlife conservation under climate and land-use changes in the Greater Etosha Landscape","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><div id=\"sp0040\" class=\"u-margin-s-bottom\">Proclaimed in 1907, Etosha National Park in northern Namibia is an iconic dryland system with a rich history of wildlife conservation and research. A recent research symposium on wildlife conservation in the Greater Etosha Landscape (GEL) highlighted increased concern of how intensification of global change will affect wildlife conservation based on participant responses to a questionnaire. The GEL includes Etosha and surrounding areas, the latter divided by a veterinary fence into large, private farms to the south and communal areas of residential and farming land to the north. Here, we leverage our knowledge of this ecosystem to provide insight into the broader challenges facing wildlife conservation in this vulnerable dryland environment. We first look backward, summarizing the history of wildlife conservation and research trends in the GEL based on a literature review, providing a broad-scale understanding of the socioecological processes that drive dryland system dynamics. We then look forward, focusing on eight key areas of challenge and opportunity for this ecosystem:<span>&nbsp;</span>climate change, water availability and quality, vegetation and fire management, adaptability of wildlife populations, disease risk, human-wildlife conflict, wildlife crime, and human dimensions of wildlife conservation. Using this model system, we summarize key lessons and identify critical threats highlighting future research needs to support wildlife management. Research in the GEL has followed a trajectory seen elsewhere reflecting an increase in complexity and integration across biological scales over time. Yet, despite these trends, a gap exists between the scope of recent research efforts and the needs of wildlife conservation to adapt to climate and land-use changes. Given the complex nature of climate change, in addition to locally existing system stressors, a framework of forward-thinking adaptive management to address these challenges, supported by integrative and multidisciplinary research could be beneficial. One critical area for growth is to better integrate research and wildlife management across land-use types. Such efforts have the potential to support wildlife conservation efforts and human development goals, while building resilience against the impacts of climate change. While our conclusions reflect the specifics of the GEL ecosystem, they have direct relevance for other African dryland systems impacted by global change.</div></div></div></div><div id=\"reading-assistant-main-body-section\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02221","usgsCitation":"Turner, W.C., Périquet, S., Goelst, C., Vera, K., Cameron, E., Alexander, K., Belant, J., Cloete, C., du Preez, P., Getz, W., Hetem, R., Kamath, P., Kasaona, M., Mackenzie, M., Mendelsohn, J., Mfune, J.K., Muntifering, J., Portas, R., Scott, H., Strauss, W., Versfeld, W., Wachter, B., Wittemyer, G., and Kilian, J.W., 2022, Africa’s drylands in a changing world: Challenges for wildlife conservation under climate and land-use changes in the Greater Etosha Landscape: Global Ecology and Conservation, v. 38, e02221, 24 p., https://doi.org/10.1016/j.gecco.2022.e02221.","productDescription":"e02221, 24 p.","ipdsId":"IP-137792","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481080,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02221","text":"Publisher Index Page"},{"id":481005,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Namibia","otherGeospatial":"Africa, Greater Etosha Landscape","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              13.99697075011565,\n              -17.9704803255822\n            ],\n            [\n              14.042362443293712,\n              -19.592355004499595\n            ],\n            [\n              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Stéphanie","contributorId":349162,"corporation":false,"usgs":false,"family":"Périquet","given":"Stéphanie","affiliations":[{"id":83453,"text":"Ongava Research Centre","active":true,"usgs":false}],"preferred":false,"id":924094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goelst, Claire E.","contributorId":349163,"corporation":false,"usgs":false,"family":"Goelst","given":"Claire E.","affiliations":[{"id":83454,"text":"Columbia University in the City of New York","active":true,"usgs":false}],"preferred":false,"id":924095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vera, Kimberlie B.","contributorId":349164,"corporation":false,"usgs":false,"family":"Vera","given":"Kimberlie B.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":924096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cameron, Elissa Z.","contributorId":349165,"corporation":false,"usgs":false,"family":"Cameron","given":"Elissa Z.","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":924097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alexander, Kathleen A.","contributorId":349166,"corporation":false,"usgs":false,"family":"Alexander","given":"Kathleen A.","affiliations":[{"id":83455,"text":"Virginia Tech, Blacksburg","active":true,"usgs":false}],"preferred":false,"id":924098,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belant, Jerrold L.","contributorId":349167,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold L.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":924099,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cloete, Claudine C.","contributorId":349168,"corporation":false,"usgs":false,"family":"Cloete","given":"Claudine C.","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":924100,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"du Preez, Pierre","contributorId":349169,"corporation":false,"usgs":false,"family":"du Preez","given":"Pierre","affiliations":[{"id":83456,"text":"African Wildlife Conservation Trust","active":true,"usgs":false}],"preferred":false,"id":924101,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Getz, Wayne M.","contributorId":349170,"corporation":false,"usgs":false,"family":"Getz","given":"Wayne M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":924102,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hetem, Robyn S.","contributorId":349171,"corporation":false,"usgs":false,"family":"Hetem","given":"Robyn S.","affiliations":[{"id":64691,"text":"University of the Witwatersrand","active":true,"usgs":false}],"preferred":false,"id":924103,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kamath, Pauline L.","contributorId":349172,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":924104,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kasaona, Marthin K.","contributorId":349173,"corporation":false,"usgs":false,"family":"Kasaona","given":"Marthin K.","affiliations":[{"id":83457,"text":"Directorate of Wildlife and National Parks","active":true,"usgs":false}],"preferred":false,"id":924105,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mackenzie, Monique","contributorId":349174,"corporation":false,"usgs":false,"family":"Mackenzie","given":"Monique","affiliations":[{"id":83458,"text":"University of St Andrews and the Namibia University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":924106,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mendelsohn, John","contributorId":349175,"corporation":false,"usgs":false,"family":"Mendelsohn","given":"John","affiliations":[{"id":83453,"text":"Ongava Research Centre","active":true,"usgs":false}],"preferred":false,"id":924107,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Mfune, John K.E.","contributorId":287158,"corporation":false,"usgs":false,"family":"Mfune","given":"John","email":"","middleInitial":"K.E.","affiliations":[{"id":39588,"text":"University of Namibia","active":true,"usgs":false}],"preferred":false,"id":924912,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Muntifering, Jeff","contributorId":287871,"corporation":false,"usgs":false,"family":"Muntifering","given":"Jeff","email":"","affiliations":[{"id":61655,"text":"Namibia University of Science and Technology, Windhoek, Namibia","active":true,"usgs":false}],"preferred":false,"id":924913,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Portas, Ruben","contributorId":349838,"corporation":false,"usgs":false,"family":"Portas","given":"Ruben","affiliations":[],"preferred":false,"id":924914,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Scott, H. Ann","contributorId":349839,"corporation":false,"usgs":false,"family":"Scott","given":"H. Ann","affiliations":[],"preferred":false,"id":924915,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Strauss, W. Maartin","contributorId":349840,"corporation":false,"usgs":false,"family":"Strauss","given":"W. Maartin","affiliations":[],"preferred":false,"id":924916,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Versfeld, Wilferd","contributorId":349841,"corporation":false,"usgs":false,"family":"Versfeld","given":"Wilferd","affiliations":[],"preferred":false,"id":924917,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Wachter, Bettina","contributorId":349842,"corporation":false,"usgs":false,"family":"Wachter","given":"Bettina","affiliations":[],"preferred":false,"id":924918,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Wittemyer, George","contributorId":25058,"corporation":false,"usgs":true,"family":"Wittemyer","given":"George","affiliations":[],"preferred":false,"id":924919,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Kilian, J. Werner","contributorId":287156,"corporation":false,"usgs":false,"family":"Kilian","given":"J.","email":"","middleInitial":"Werner","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":924920,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70256739,"text":"70256739 - 2022 - Drought and nutrient pollution produce multiple interactive effects in stream ecosystems","interactions":[],"lastModifiedDate":"2024-09-04T14:46:12.864959","indexId":"70256739","displayToPublicDate":"2022-07-14T09:43:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Drought and nutrient pollution produce multiple interactive effects in stream ecosystems","docAbstract":"<p><span>Drought and nutrient pollution can affect the dynamics of stream ecosystems in diverse ways. While the individual effects of both stressors are broadly examined in the literature, we still know relatively little about if and how these stressors interact. Here, we performed a mesocosm experiment that explores the compounded effects of seasonal drought via water withdrawals and nutrient pollution (1.0 mg/L of N and 0.1 mg/L of P) on a subset of Ozark stream community fauna and ecosystem processes. We observed biological responses to individual stressors as well as both synergistic and antagonistic stressor interactions. We found that drying negatively affected periphyton assemblages, macroinvertebrate colonization, and leaf litter decomposition in shallow habitats. However, in deep habitats, drought-based increases in fish density caused trophic cascades that released algal communities from grazing pressures; while nutrient enrichment caused bottom-up cascades that influenced periphyton variables and crayfish growth rates. Finally, the combined effects of drought and nutrient enrichment interacted antagonistically to increase survival in longear sunfish; and stressors acted synergistically on grazers causing a trophic cascade that increased periphyton variables. Because stressors can directly and indirectly impact biota—and that the same stressor pairing can act differentially on various portions of the community simultaneously—our broad understanding of individual stressors might not adequately inform our knowledge of multi-stressor systems.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0269222","usgsCitation":"Fournier, R., and Magoulick, D.D., 2022, Drought and nutrient pollution produce multiple interactive effects in stream ecosystems: PLoS ONE, v. 17, no. 7, e0269222, 16 p., https://doi.org/10.1371/journal.pone.0269222.","productDescription":"e0269222, 16 p.","ipdsId":"IP-111266","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":447113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0269222","text":"Publisher Index Page"},{"id":433446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Fournier, R.J.","contributorId":341731,"corporation":false,"usgs":false,"family":"Fournier","given":"R.J.","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908838,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70233568,"text":"70233568 - 2022 - Impact of climate change on mollusks and other invertebrate resources at the Dominican University of California archaeological site (CA-MRN-254), Marin County, California","interactions":[],"lastModifiedDate":"2022-07-26T11:39:17.783231","indexId":"70233568","displayToPublicDate":"2022-07-14T06:33:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Impact of climate change on mollusks and other invertebrate resources at the Dominican University of California archaeological site (CA-MRN-254), Marin County, California","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">We have identified and provided ecological interpretations of 30 taxa recovered at two shellmounds at the Dominican University of California archaeology site in Marin County, California (CA-MRN-254). A Q-mode cluster analysis was used to group the samples according to their faunal similarity. The clusters ranged from a diverse grouping of 100 samples with 27 taxa (Cluster A) to those with a more restricted assemblage (4–9 taxa in Clusters B to E). The Q-mode clusters were then used to interpret the variability in food resources utilized through the 1800 years of site occupation. During the Intermediate Middle Period (A.D.100-300), the inhabitants appeared to be selective in the marine taxa they used, evident by the presence of Cluster B and E assemblages. A diverse (Cluster A) assemblage was then utilized at the site at one or both of the shellmounds through the remainder of the occupancy period, including the Middle/Late Period Transition (A.D. 700–900) and Late Period Phase 1C (A.D. 900–1300), coincident with the extensive drought conditions of the<span>&nbsp;</span>Medieval Climatic Anomaly<span>&nbsp;</span>(MCA) in the San Francisco Bay area. These findings suggest the marine invertebrate resources utilized by the site occupants were not significantly affected by the persistent aridity associated with the MCA.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2022.02.030","usgsCitation":"McGann, M., and Powell, C.L., 2022, Impact of climate change on mollusks and other invertebrate resources at the Dominican University of California archaeological site (CA-MRN-254), Marin County, California: Quaternary International, v. 628, p. 64-78, https://doi.org/10.1016/j.quaint.2022.02.030.","productDescription":"15 p.","startPage":"64","endPage":"78","ipdsId":"IP-117392","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":447127,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2022.02.030","text":"Publisher Index Page"},{"id":404445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Marin County","otherGeospatial":"Dominican University of California archaeological site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.43232727050781,\n              37.88406692118164\n            ],\n            [\n              -122.26856231689453,\n              37.88406692118164\n            ],\n            [\n              -122.26856231689453,\n              38.03267866824144\n            ],\n            [\n              -122.43232727050781,\n              38.03267866824144\n            ],\n            [\n              -122.43232727050781,\n              37.88406692118164\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"628","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":847431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Charles L. II 0000-0002-1913-555X cpowell@usgs.gov","orcid":"https://orcid.org/0000-0002-1913-555X","contributorId":3243,"corporation":false,"usgs":true,"family":"Powell","given":"Charles","suffix":"II","email":"cpowell@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":847432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70236982,"text":"70236982 - 2022 - Can we accurately estimate sediment budgets on Mars?","interactions":[],"lastModifiedDate":"2022-09-26T22:08:52.426374","indexId":"70236982","displayToPublicDate":"2022-07-12T17:03:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Can we accurately estimate sediment budgets on Mars?","docAbstract":"<p><span>Sediment budgets are fundamentally important for planetary science. However, only one primary method, based on remote sensing, is currently available for determining extraterrestrial sediment budgets. For determining sediment budgets on Earth, both in-situ and remote sensing methods are available. Despite the widespread use of the two methods, there has been surprisingly little research on how well the sediment budgets produced by these two approaches reconcile with one another, which highlights the lack of quantitative understanding of errors for sediment budgets measured with remote sensing in planetary research. Therefore, there is a general need to expand our knowledge of sediment budgets. Here we use a background review and analog case study of an aeolian dunefield in Grand Canyon, Earth to frame a path forward for addressing shortcomings of remote sensing sediment budgets on Mars. We estimate a 53% percent difference in the sediment budget determined with remote sensing relative to in-situ methods for a simple endmember scenario of a dunefield within a unimodal wind directional regime and no external sediment supply. However, when we incorporated key sources of uncertainty in remote sensing change detection following methods commonly used by geomorphologists on Earth, the estimates of sediment budget differences relative to the in-situ method spanned a much larger range, from 3% to 138%. Our case study also suggests that sediment budget errors could be much larger under more complex wind direction, sediment supply, and physiographic settings, and that variability in those landscape characteristics might be used to better estimate errors for dunefield sediment budgets. We conclude that by comparing sediment budgets derived from in-situ measurements of sediment fluxes and from remote sensing measurements at many more analog sites on Earth, the aeolian research community, and the geomorphology discipline, could gain an understanding of the errors of the remote sensing method, which is used by investigators on other planetary bodies such as Mars. This could improve the ability to quantify sediment budgets on Mars – and, in the future, other planetary environments where high-resolution topographic data are available – as well as directly improve our ability to interpret extraterrestrial landscape evolution related to climate, weather, and geologic history.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2022.117682","usgsCitation":"Sankey, J., Kasprak, A., Chojnacki, M., Titus, T.N., Caster, J., and DeBenedetto, G., 2022, Can we accurately estimate sediment budgets on Mars?: Earth and Planetary Science Letters, v. 593, 117682, 11 p., https://doi.org/10.1016/j.epsl.2022.117682.","productDescription":"117682, 11 p.","ipdsId":"IP-137953","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":447133,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2022.117682","text":"Publisher Index Page"},{"id":435775,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P971IOAI","text":"USGS data release","linkHelpText":"Sediment budget data for Lees Ferry dune field, February-May 2019"},{"id":407376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"593","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":852908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":245742,"corporation":false,"usgs":false,"family":"Kasprak","given":"Alan","affiliations":[{"id":49307,"text":"Current: Utah State University. Former: Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, U.S. Geological Survey, Flagstaff, AZ 86001, USA","active":true,"usgs":false}],"preferred":false,"id":852909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chojnacki, Matthew 0000-0001-8497-8994","orcid":"https://orcid.org/0000-0001-8497-8994","contributorId":296931,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","email":"","affiliations":[{"id":64240,"text":"Planetary Science Institute, Lakewood, CO, USA","active":true,"usgs":false}],"preferred":false,"id":852910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":852911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":852912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeBenedetto, Geoffrey 0000-0003-0696-4567 gdebened@usgs.gov","orcid":"https://orcid.org/0000-0003-0696-4567","contributorId":220988,"corporation":false,"usgs":true,"family":"DeBenedetto","given":"Geoffrey","email":"gdebened@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852913,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70233474,"text":"70233474 - 2022 - Host plant associations of Lepidoptera and implications for forest bird management at Hakalau Forest National Wildlife Refuge","interactions":[],"lastModifiedDate":"2022-07-21T14:31:07.84192","indexId":"70233474","displayToPublicDate":"2022-07-11T09:23:12","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6053,"text":"Hawaii Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"104","title":"Host plant associations of Lepidoptera and implications for forest bird management at Hakalau Forest National Wildlife Refuge","docAbstract":"<p>Forests dominated or co-dominated by ‘ōhi‘a (<i>Metrosideros polymorpha</i>) are critical to most Hawaiian forest birds, but fungal diseases causing Rapid ‘Ōhi‘a Death (ROD) threaten ‘ōhi‘a-based food webs that support native bird communities on Hawai‘i Island. Caterpillars are the most frequently consumed arthropod prey of native birds and their young and are especially frequent in the diets of one threatened (T) and three endangered (E) species (“listed” species) at Hakalau Forest National Wildlife Refuge (Hakalau): ‘akiapōlā‘au (<i>Hemignathus wilsoni</i>, E), ‘alawī (Hawai‘i creeper; <i>Loxops mana</i>, E), Hawai‘i ‘ākepa (<i>L. coccineus</i>, E), and ‘i‘iwi (<i>Drepanis coccinea</i>, T). Hakalau harbors the largest and most stable populations of listed forest birds in Hawai‘i, presumably due to the availability of food resources and the extent of suitable, managed habitat above the range of mosquito-borne avian malaria. Because a previous study indicated that only a few caterpillar species were important in the diets of listed birds at Hakalau, we investigated the distribution of caterpillars on common host plants available to foraging birds. Eleven native plant species hosted two or more taxa identified to genus or species, with at least seven from ‘ōhi‘a, six from koa (<i>Acacia koa</i>), and five from ‘ākala (<i>Rubus hawaiensis</i>). We identified 16 taxa to genus or species from 9 families, assigning 11 to species. Leaves, which were the focus of our sampling effort, were the substrate used by 20 caterpillar taxa, and dead wood or bark was used by 7 taxa. In a previous study, we classified 19 morphotypes of caterpillar mandibles in the diets of native and alien birds at Hakalau, and in the present study we dissected mandibles from caterpillars that likely matched 10 of those morphotypes. These 10 morphotypes potentially represented &gt;95% of caterpillar prey found in the earlier diet study and were collected from 11 host plant species, with ‘ōhi‘a hosting 8 morphotypes, 4 of which were exclusive to ‘ōhi‘a. The most widely hosted morphotype was found on all 11 plant species that we sampled, including ‘ōhi‘a, but the other 9 morphotypes were found on 1–7 hosts. As shown by the previous diet study, each of the listed bird species consumed caterpillar prey consisting mostly of combinations of two morphotypes drawn from a pool of only five, indicating a high degree of specialization. In the present study, we collected three of the five key morphotypes only on ‘ōhi‘a, highlighting the importance of this tree to listed bird species. Because ‘ōhi‘a forests in Hakalau remain vulnerable to ROD, measures to mitigate the impacts of reduced ‘ōhi‘a cover are important to consider from the perspective of forest bird food webs and diet. Ongoing reforestation of former pasturelands with koa and common understory species should provide alternative caterpillar prey for forest birds. Our results and information from the literature indicate that koa supports, to varying degrees, nearly all forest birds at Hakalau, while ‘ākala, ‘ōhelo (<i>Vaccinium calycinum</i>), kōlea (<i>Myrsine lessertiana</i>), ‘ōlapa (<i>Cheirodendron trigynum</i>), pūkiawe (<i>Leptecophylla tameiameiae</i>), and māmaki (<i>Pipturus albidus</i>) could benefit bird populations by increasing prey availability and structural complexity in koa-dominated stands. Foraging studies and additional research to identify species and host plant associations of important forest bird prey, including caterpillars and other arthropods, can help managers evaluate the complex interactions between native forest birds and their food webs and habitats.</p>","language":"English","publisher":"Hawai‘i Cooperative Studies Unit","usgsCitation":"Banko, P.C., Peck, R., Munstermann, M., and Jaenecke, K., 2022, Host plant associations of Lepidoptera and implications for forest bird management at Hakalau Forest National Wildlife Refuge: Hawaii Cooperative Studies Unit Technical Report 104, iv, 39 p.","productDescription":"iv, 39 p.","ipdsId":"IP-136371","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":404220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":404202,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5387"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hakalau Forest National Wildlife Refuge, Pua Akala section of the Hakalau Unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.33740997314453,\n              19.77801141632675\n            ],\n            [\n              -155.28934478759766,\n              19.77801141632675\n            ],\n            [\n              -155.28934478759766,\n              19.851170038179486\n            ],\n            [\n              -155.33740997314453,\n              19.851170038179486\n            ],\n            [\n              -155.33740997314453,\n              19.77801141632675\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":847190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":847191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munstermann, Maya","contributorId":292199,"corporation":false,"usgs":false,"family":"Munstermann","given":"Maya","email":"","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":847192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaenecke, Kelly 0000-0002-7124-4788","orcid":"https://orcid.org/0000-0002-7124-4788","contributorId":211063,"corporation":false,"usgs":false,"family":"Jaenecke","given":"Kelly","email":"","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":847193,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70232703,"text":"70232703 - 2022 - Rapid diagnostic test to detect and discriminate infectious hematopoietic necrosis virus (IHNV) genogroups U and M to aid management of Pacific Northwest salmonid populations","interactions":[],"lastModifiedDate":"2022-07-12T12:11:26.019734","indexId":"70232703","displayToPublicDate":"2022-07-09T07:06:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"Rapid diagnostic test to detect and discriminate infectious hematopoietic necrosis virus (IHNV) genogroups U and M to aid management of Pacific Northwest salmonid populations","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Infectious hematopoietic necrosis virus (IHNV) is an acute pathogen of salmonids in North America, Europe, and Asia that is phylogenetically classified into five major virus genogroups (U, M, L, E, and J). The geographic range of the U and M genogroup isolates overlap in the North American Columbia River Basin and Washington Coast region, where these genogroups pose different risks depending on the species of Pacific salmon (<span class=\"html-italic\">Oncorhynchus</span><span>&nbsp;</span>spp.). For certain management decisions, there is a need to both test for IHNV presence and rapidly determine the genogroup. Herein, we report the development and validation of a U/M multiplex reverse transcription, real-time PCR (RT-rPCR) assay targeting the IHNV nucleocapsid (N) protein gene. The new U/M RT-rPCR is a rapid, sensitive, and repeatable assay capable of specifically discriminating between North American U and M genogroup IHNV isolates. However, one M genogroup isolate obtained from commercially cultured Idaho rainbow trout (<span class=\"html-italic\">O. mykiss</span>) showed reduced sensitivity with the RT-rPCR test, suggesting caution may be warranted before applying RT-rPCR as the sole surveillance test in areas associated with the Idaho trout industry. The new U/M assay had high diagnostic sensitivity (DSe &gt; 94%) and specificity (DSp &gt; 97%) in free-ranging adult Pacific salmon, when assessed relative to cell culture, the widely accepted reference standard, as well as the previously validated universal N RT-rPCR test. The high diagnostic performance of the new U/M assay indicates the test is suitable for surveillance, diagnosis, and confirmation of IHNV in Pacific salmon from the Pacific Northwest regions where the U and M genogroups overlap.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/ani12141761","usgsCitation":"Batts, W.N., Capps, T.R., Crosson, L.M., Powers, R., Breyta, R., and Purcell, M.K., 2022, Rapid diagnostic test to detect and discriminate infectious hematopoietic necrosis virus (IHNV) genogroups U and M to aid management of Pacific Northwest salmonid populations: Animals, v. 12, no. 14, 1761, 11 p., https://doi.org/10.3390/ani12141761.","productDescription":"1761, 11 p.","ipdsId":"IP-141286","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":447179,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani12141761","text":"Publisher Index Page"},{"id":435782,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P963M863","text":"USGS data release","linkHelpText":"Analytical and diagnostic validation of a molecular test to detect and discriminate IHNV genogroups U and M"},{"id":403465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"14","noUsgsAuthors":false,"publicationDate":"2022-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":846339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capps, Tony R.","contributorId":292949,"corporation":false,"usgs":false,"family":"Capps","given":"Tony","email":"","middleInitial":"R.","affiliations":[{"id":63083,"text":"Washington Department of Fish and Wildlife, Olympia, Washington 98501, USA","active":true,"usgs":false}],"preferred":false,"id":846340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crosson, Lisa M.","contributorId":292950,"corporation":false,"usgs":false,"family":"Crosson","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":63083,"text":"Washington Department of Fish and Wildlife, Olympia, Washington 98501, USA","active":true,"usgs":false}],"preferred":false,"id":846341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Rachel L. 0000-0001-6901-4361","orcid":"https://orcid.org/0000-0001-6901-4361","contributorId":190182,"corporation":false,"usgs":true,"family":"Powers","given":"Rachel L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":846342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breyta, Rachel","contributorId":150355,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","affiliations":[],"preferred":false,"id":846343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":846344,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241515,"text":"70241515 - 2022 - Assessing small-mammal trapping design using spatially explicit capture recapture (SECR) modeling on long-term monitoring data","interactions":[],"lastModifiedDate":"2023-03-22T12:15:44.376645","indexId":"70241515","displayToPublicDate":"2022-07-05T07:09:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Assessing small-mammal trapping design using spatially explicit capture recapture (SECR) modeling on long-term monitoring data","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Few studies have evaluated the optimal sampling design for tracking small mammal population trends, especially for rare or difficult to detect species. Spatially explicit capture-recapture (SECR) models present an advancement over non-spatial models by accounting for individual movement when estimating density. The salt marsh harvest mouse (SMHM;<span>&nbsp;</span><i>Reithrodontomys raviventris</i>) is a federal and California state listed endangered species endemic to the San Francisco Bay-Delta estuary, California, USA; where a population in a subembayment has been continually monitored over an 18-year period using mark-recapture methods. We analyzed capture data within a SECR modeling framework that allowed us to account for differences in detection and movement between sexes. We compared the full dataset to subsampling scenarios to evaluate how the grid size (area) of the trap design, trap density (spacing), and number of consecutive trapping occasions (duration) influenced density estimates. To validate the subsampling methods, we ran Monte Carlo simulations based on the true parameter estimates for each specific year. We found that reducing the area of the trapping design by more than 36% resulted in the inability of the SECR model to replicate density estimates within the SE of the original density estimates. However, when trapping occasions were reduced from 4 to 3-nights the density estimates were indistinguishable from the full dataset. Furthermore, reducing trap density by 50% also resulted in density estimates comparable to the full dataset and was a substantially better model than reducing the trap area by 50%. Overall, our results indicated that moderate reductions in the number of trapping occasions or trap density could yield similar density estimates when using a SECR approach. This approach allows the optimization of field trapping efforts and designs by reducing field efforts while maintaining the same population estimate compared to the full dataset. Using a SECR approach may help other wildlife programs identify sampling efficiencies without sacrificing data integrity for long term monitoring of population densities.</p></div></div>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0270082","usgsCitation":"Freeman, C.M., Barthman-Thompson, L., Klinger, R.C., Woo, I., and Thorne, K., 2022, Assessing small-mammal trapping design using spatially explicit capture recapture (SECR) modeling on long-term monitoring data: PLoS ONE, v. 17, no. 7, e0270082, 20 p., https://doi.org/10.1371/journal.pone.0270082.","productDescription":"e0270082, 20 p.","ipdsId":"IP-133036","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0270082","text":"Publisher Index Page"},{"id":414541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.19812705939624,\n              38.288278395614725\n            ],\n            [\n              -122.19812705939624,\n              37.98164182603786\n            ],\n            [\n              -121.7972985032576,\n              37.98164182603786\n            ],\n            [\n              -121.7972985032576,\n              38.288278395614725\n            ],\n            [\n              -122.19812705939624,\n              38.288278395614725\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barthman-Thompson, Laureen","contributorId":207842,"corporation":false,"usgs":false,"family":"Barthman-Thompson","given":"Laureen","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":867075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867078,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70232470,"text":"70232470 - 2022 - Mentoring is more than a mentor","interactions":[],"lastModifiedDate":"2022-07-04T15:03:50.571981","indexId":"70232470","displayToPublicDate":"2022-07-04T09:59:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mentoring is more than a mentor","docAbstract":"<p><span>Recent work has highlighted the substantial positive impact of multi-dimensional mentoring, particularly a mentoring network, in one’s professional development and overall well-being (</span><i>SAGE Open</i><span>&nbsp;2017;&nbsp;</span><a class=\"linkBehavior\" href=\"https://doi.org/10.1177/2158244017710288\" data-mce-href=\"https://doi.org/10.1177/2158244017710288\">doi.org/10.1177/2158244017710288</a><span>) (</span><i>Nat Comm</i><span>&nbsp;2022;&nbsp;</span><a class=\"linkBehavior\" href=\"https://doi.org/10.1038/s41467-022-28667-0\" data-mce-href=\"https://doi.org/10.1038/s41467-022-28667-0\">doi.org/10.1038/s41467-022-28667-0</a><span>). The Women in Soil Ecology (WiSE) network (</span><a class=\"linkBehavior\" href=\"https://womeninsoilecology.github.io/\" data-mce-href=\"https://womeninsoilecology.github.io/\">https://womeninsoilecology.github.io</a><span>) was born out of a desire to develop mentoring relationships between women from different institutions and career stages – to fill the gaps in traditional faculty–graduate student advising relationships. These gaps included the need for advice and role models in dealing with issues such as harassment and safety in the field and at conferences, work–life balance, navigating family and childcare responsibilities, equal pay and representation, and being a woman in the male-dominated field of soil science (</span><i>Soil Sci Soc Am J</i><span>&nbsp;2019;&nbsp;</span><a class=\"linkBehavior\" href=\"https://doi.org/10.2136/sssaj2019.03.0085\" data-mce-href=\"https://doi.org/10.2136/sssaj2019.03.0085\">doi.org/10.2136/sssaj2019.03.0085</a><span>). Four years and an ongoing pandemic later, our network has grown into much more than we initially envisioned and now connects women with a passion for soil ecology from across the globe.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2518","usgsCitation":"Collins, C.G., Phillips, M.L., Beals, K., Baliey, L., O’Brien, J., Dhungana, I., and Jech, S., 2022, Mentoring is more than a mentor: Frontiers in Ecology and the Environment, v. 20, no. 5, p. 271-271, https://doi.org/10.1002/fee.2518.","productDescription":"1 p.","startPage":"271","endPage":"271","ipdsId":"IP-141108","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":447228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2518","text":"Publisher Index Page"},{"id":402920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Courtney G. 0000-0001-5455-172X","orcid":"https://orcid.org/0000-0001-5455-172X","contributorId":260909,"corporation":false,"usgs":false,"family":"Collins","given":"Courtney","email":"","middleInitial":"G.","affiliations":[{"id":52708,"text":"Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO USA","active":true,"usgs":false}],"preferred":false,"id":845608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Michala Lee 0000-0001-7005-8740","orcid":"https://orcid.org/0000-0001-7005-8740","contributorId":245186,"corporation":false,"usgs":true,"family":"Phillips","given":"Michala","email":"","middleInitial":"Lee","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beals, Kendall","contributorId":292722,"corporation":false,"usgs":false,"family":"Beals","given":"Kendall","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":845610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baliey, Lydia","contributorId":292723,"corporation":false,"usgs":false,"family":"Baliey","given":"Lydia","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":845611,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, Joy","contributorId":292724,"corporation":false,"usgs":false,"family":"O’Brien","given":"Joy","email":"","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":845612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dhungana, Ishwora","contributorId":292725,"corporation":false,"usgs":false,"family":"Dhungana","given":"Ishwora","email":"","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":845613,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jech, Sierra","contributorId":292726,"corporation":false,"usgs":false,"family":"Jech","given":"Sierra","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":845614,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70233610,"text":"70233610 - 2022 - Using transcriptomics to predict and visualize disease status in bighorn sheep (Ovis canadensis)","interactions":[],"lastModifiedDate":"2022-07-27T12:21:07.026731","indexId":"70233610","displayToPublicDate":"2022-07-03T07:19:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Using transcriptomics to predict and visualize disease status in bighorn sheep (Ovis canadensis)","docAbstract":"<p class=\"chapter-para\">Increasing risk of pathogen spillover coupled with overall declines in wildlife population abundance in the Anthropocene make infectious disease a relevant concern for species conservation worldwide. While emerging molecular tools could improve our diagnostic capabilities and give insight into mechanisms underlying wildlife disease risk, they have rarely been applied in practice. Here, employing a previously reported gene transcription panel of common immune markers to track physiological changes, we present a detailed analysis over the course of both acute and chronic infection in one wildlife species where disease plays a critical role in conservation, bighorn sheep (<i>Ovis canadensis</i>). Differential gene transcription patterns distinguished between infection statuses over the course of acute infection and differential correlation (DC) analyses identified clear changes in gene co-transcription patterns over the early stages of infection, with transcription of four genes—TGFb, AHR, IL1b and MX1—continuing to increase even as transcription of other immune-associated genes waned. In a separate analysis, we considered the capacity of the same gene transcription panel to aid in differentiating between chronically infected animals and animals in other disease states outside of acute disease events (an immediate priority for wildlife management in this system). We found that this transcription panel was capable of accurately identifying chronically infected animals in the test dataset, though additional data will be required to determine how far this ability extends. Taken together, our results showcase the successful proof of concept and breadth of potential utilities that gene transcription might provide to wildlife disease management, from direct insight into mechanisms associated with differential disease response to improved diagnostic capacity in the field.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coac046","usgsCitation":"Bowen, L., Manlove, K.R., Roug, A., Waters-Dynes, S.C., LaHue, N., and Wolff, P., 2022, Using transcriptomics to predict and visualize disease status in bighorn sheep (Ovis canadensis): Conservation Physiology, v. 10, no. 1, 16 p., https://doi.org/10.1093/conphys/coac046.","productDescription":"16 p.","ipdsId":"IP-137827","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coac046","text":"Publisher Index Page"},{"id":404486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manlove, Kezia R.","contributorId":198305,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":847550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roug, Annette","contributorId":181940,"corporation":false,"usgs":false,"family":"Roug","given":"Annette","email":"","affiliations":[],"preferred":false,"id":847551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaHue, Nate","contributorId":293650,"corporation":false,"usgs":false,"family":"LaHue","given":"Nate","email":"","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":847553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolff, Peregrine","contributorId":238063,"corporation":false,"usgs":false,"family":"Wolff","given":"Peregrine","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":847554,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232547,"text":"70232547 - 2022 - Spatial dynamic N-mixture models with interspecific interactions","interactions":[],"lastModifiedDate":"2022-10-17T15:40:24.945066","indexId":"70232547","displayToPublicDate":"2022-07-03T06:35:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatial dynamic N-mixture models with interspecific interactions","docAbstract":"<ol class=\"\"><li>Interspecific interactions and movement are key factors that drive the coexistence of metapopulations in heterogenous landscapes. Yet, it is challenging to understand these factors because separating movement from local population processes relied on capture-based data that are difficult to collect. Recent development of spatial dynamic N-mixture models (SDNMs) made it possible to draw inference on local population growth and movement using count data of unmarked populations. However, no SDNMs have been developed to account for interspecific interactions and double counting observation errors.</li><li>In this study we further developed SDNMs to account for interspecific interactions and both false negative and double counting observation errors. We conducted simulation studies to evaluate the inferential performance of these models under different ecological systems (competition, predator-prey), observation processes (binomial, Poisson), and sampling situations including the number of surveyed sites, detection, and the adoption of robust sampling design. We then illustrated the applications of these models with two case studies, one representing a competition system (mallard<span>&nbsp;</span><i>Anas platyrhynchos</i>, northern pintail<span>&nbsp;</span><i>Anas acuta</i>) with binomial observations and the other representing a predator-prey system (bobcat<span>&nbsp;</span><i>Lynx rufus</i>, wild turkey<span>&nbsp;</span><i>Meleagris gallopavo</i>) with Poisson observations.</li><li>The results of the simulation studies showed that the models provide unbiased parameter estimates regardless of the ecological system, observation process, and sampling situation. Case studies further demonstrated the capabilities of these models in revealing important ecological processes. More specifically, the first case study revealed a negative effect of the superior competitor, Mallard, on the population growth of the inferior competitor, pintail as well as different movement patterns between these species, while the second case study reveal a top-down effect of bobcat abundance on wild turkey population growth and their differential habitat preferences.</li><li>The models developed in this study could be used by themselves on count data or serve as population sub-models in integrated modeling frameworks to provide insights about metapopulation dynamics of interacting species in heterogeneous landscapes. The flexible structures of these models made them highly adaptive and relevant in population and community ecology.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13936","usgsCitation":"Zhao, Q., Fuller, A.K., and Royle, A., 2022, Spatial dynamic N-mixture models with interspecific interactions: Methods in Ecology and Evolution, v. 13, no. 10, p. 2209-2221, https://doi.org/10.1111/2041-210X.13936.","productDescription":"13 p.","startPage":"2209","endPage":"2221","ipdsId":"IP-137965","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":403125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhao, Qing","contributorId":292852,"corporation":false,"usgs":false,"family":"Zhao","given":"Qing","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":845924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K","contributorId":292853,"corporation":false,"usgs":false,"family":"Fuller","given":"Angela","email":"","middleInitial":"K","affiliations":[{"id":63042,"text":"New York Coop Unit","active":true,"usgs":false}],"preferred":false,"id":845925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845926,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70232349,"text":"sir20225048 - 2022 - Hydrogeology and simulation of groundwater flow in the Lucerne Valley groundwater basin, California","interactions":[],"lastModifiedDate":"2022-07-07T17:32:15.946418","indexId":"sir20225048","displayToPublicDate":"2022-06-28T14:08:07","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5048","displayTitle":"Hydrogeology and Simulation of Groundwater Flow in the Lucerne Valley Groundwater Basin, California","title":"Hydrogeology and simulation of groundwater flow in the Lucerne Valley groundwater basin, California","docAbstract":"<p>The Lucerne Valley is in the southwestern part of the Mojave Desert and is about 75 miles northeast of Los Angeles, California. The Lucerne Valley groundwater basin encompasses about 230 square miles and is separated from the Upper Mojave Valley groundwater basin by splays of the Helendale Fault. Since its settlement, groundwater has been the primary source of water for agricultural, industrial, municipal, and domestic uses. Groundwater withdrawal from pumping has exceeded the amount of water recharged to the basin, causing groundwater declines of more than 100 feet between 1917 and 2016 in the center of the basin. The continued withdrawal has resulted in an increase in pumping costs, reduced well efficiency, and land subsidence near Lucerne Lake. Although the volume of pumping has declined in recent years, there is concern that new agricultural growth and limits on imported water will continue to strain the sustainability of the groundwater system.</p><p>To address these concerns, the U.S. Geological Survey entered into a cooperative agreement with the Mojave Water Agency to develop a better understanding of the Lucerne Valley hydrogeologic system and provide tools to help evaluate and manage the effects of future development in the Lucerne Valley. The objectives of this study were to (1) improve the understanding of the aquifer system, (2) improve the understanding of subsidence in the basin, and (3) incorporate the understanding into a groundwater-flow model that can be used to help manage the groundwater resources in the Lucerne Valley. The model developed for this study covers the period of 1942–2016 and can help evaluate various proposed water-management scenarios during different climatic and hydrologic conditions.</p><p>The aquifer system consists of a shallow aquifer, a confining unit, and middle and lower aquifers. These layered water-bearing units were identified based on geologic units of the mostly unconsolidated sediments and hydrologic properties. These alluvial deposits consist of clay, silt, sand, and gravel; some places also contain clay and silty clay lacustrine deposits. Several faults act, at least in part, as barriers to groundwater flow on the eastern, southern, and western edges of the basin. Present-day natural recharge is primarily from the infiltration of runoff from the San Bernardino Mountains to the south; however, stable and radioactive isotopes show that groundwater from the middle of the Lucerne Valley was older than about 10,000 years and probably was recharged as infiltration from streams draining the mountains in the Mojave Desert to the north, which probably does not occur under present-day climatic conditions. The annual average natural recharge for 1942–2016, estimated by a Basin Characterization Model, was about 635 acre-feet per year; the average amount of treated wastewater effluent transferred to the Lucerne Valley for artificial recharge annually ranged from about 1,500 to 4,000 acre-feet per year during 1980–2016. Pumpage estimates for 1942–2016 ranged from about 3,000 acre-feet in 1942 to about 18,300 acre-feet in 1984. The total cumulative amount of groundwater removed from the basin by pumping between 1942 and 2016 was estimated to be about 700,000 acre-feet, which was about 10 times greater than the cumulative amount of recharge to the entire Lucerne Valley groundwater basin. Before groundwater development, the direction of groundwater flow was from the southern part of the basin northward to discharge areas near Lucerne Lake, where it discharged through springs along the Helendale Fault and by evapotranspiration. Since the early 1900s, groundwater-level declines have mostly eliminated the areas where natural discharge occurred and exceeded 100 feet in the middle of the basin between the early 1950s and mid-1990s, and as much as 25 feet near the margins from about the mid-1950s to 2000s. A decrease in the rate of pumping after the mid-1990s lessened the hydraulic stress on the middle and lower aquifers and enabled hydraulic heads in the middle of the basin to recover slightly as groundwater near the margins of the basin moved toward the pumping depression. Although trends in groundwater levels in the center of the basin have reversed since the mid-1990s, levels at the basin margins continue to decline as the movement of groundwater from the margins fills the pumping depression and gradually flattens the groundwater table throughout the basin.</p><p>The long-term extraction of groundwater and associated dewatering of the fine-grained sediments present within the aquifer system has resulted in aquifer compaction and consequently land subsidence, primarily near Lucerne Lake. Analysis of interferometric synthetic aperture radar data shows that almost 11 inches of land subsidence has occurred south of Lucerne Lake between April 1992 and November 2009; less subsidence occurred elsewhere in the basin during this period. This differential land subsidence has caused fissures and cracks in the ground surface, which have buckled the pavement and undercut roads in several locations.</p><p>The Lucerne Valley Hydrologic Model was developed using the finite-difference groundwater modeling software One Water Hydrologic Model to represent the hydrologic conditions and stresses during 1942–2016. The model has a uniform grid of approximately 92 acres per cell (2,000 feet by 2,000 feet) and has four layers representing the water-bearing units. The results from the calibrated model simulations indicated that groundwater pumpage exceeded recharge, resulting in an estimated net cumulative depletion of groundwater storage (discharge minus recharge) of about 465,000 acre-feet from 1942 to 2016. The model simulated as much as 7.5 feet (90 inches; 2,286 millimeters) of aquifer compaction, which indicates the extensive fine-grained deposits and measured subsidence near Lucerne Lake.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225048","collaboration":"Prepared in cooperation with the Mojave Water Agency","usgsCitation":"Stamos, C.L., Larsen, J.D., Powell, R.E., Matti, J.C., and Martin, P., 2022, Hydrogeology and simulation of groundwater flow in the Lucerne Valley groundwater basin, California: U.S. Geological Survey Scientific Investigations Report 2022-5048, 120 p., https://doi.org/10.3133/sir20225048.","productDescription":"Report: xi, 120 p.; Appendix; Data Release","numberOfPages":"120","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-095487","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":403187,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20221063","text":"Open-File Report 2022-1063","description":"Fackrell, J.K., 2022, Groundwater quality of the Lucerne Valley groundwater basin, California: U.S. Geological Survey Open-File Report 2022-1063, 19 p., https://doi.org/10.3133/ofr20221063.","linkHelpText":"- Groundwater Quality of the Lucerne Valley Groundwater Basin, California"},{"id":402644,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94W41EL","text":"MODFLOW-OWHM model used to simulate groundwater flow and evaluate storage in the Lucerne Valley Groundwater Basin, California","description":"Larsen, J.D., 2022, MODFLOW-OWHM model used to simulate groundwater flow and evaluate storage in the Lucerne Valley Groundwater Basin, California: U.S. Geological Survey data release, https://doi.org/10.5066/P94W41EL."},{"id":402643,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5048/sir20225048_appendix1.txt","text":"Appendix 1","size":"27 KB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Sites with groundwater-level data available on the U. S. Geological Survey National Water Inventory System Web service (NWISWeb) from 1911-2016 within the Lucerne Valley, California"},{"id":402641,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5048/sir20225048.xml"},{"id":402640,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5048/sir20225048.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5048"},{"id":402639,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5048/covrthb.jpg"},{"id":402695,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225048/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5048"},{"id":402642,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5048/images"}],"country":"United States","state":"California","otherGeospatial":"Lucerne Valley Groundwater Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.666667,\n              34.266667\n            ],\n            [\n              -117.083333,\n              34.266667\n            ],\n            [\n              -117.083333,\n              34.666667\n            ],\n            [\n              -116.666667,\n              34.666667\n            ],\n            [\n              -116.666667,\n              34.266667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Description of the Study Area&nbsp;&nbsp;</li><li>Hydrogeology&nbsp;&nbsp;</li><li>Lucerne Valley Hydrologic Model&nbsp;&nbsp;</li><li>Summary and Conclusions&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1. Sites with Groundwater-Level Data Available on the U.S. Geological Survey National Water Inventory System Web System (NWISWeb) from 1911 to 2016, in the Lucerne Valley, California&nbsp;</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-06-28","noUsgsAuthors":false,"publicationDate":"2022-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Stamos-Pfeiffer, Christina 0000-0002-1007-9352 clstamos@usgs.gov","orcid":"https://orcid.org/0000-0002-1007-9352","contributorId":169089,"corporation":false,"usgs":true,"family":"Stamos-Pfeiffer","given":"Christina","email":"clstamos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, Joshua 0000-0002-1218-800X jlarsen@usgs.gov","orcid":"https://orcid.org/0000-0002-1218-800X","contributorId":272403,"corporation":false,"usgs":true,"family":"Larsen","given":"Joshua","email":"jlarsen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Robert E. 0000-0001-7682-1655 rpowell@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-1655","contributorId":4210,"corporation":false,"usgs":true,"family":"Powell","given":"Robert","email":"rpowell@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":845312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matti, Jonathan C. 0000-0001-5961-9869 jmatti@usgs.gov","orcid":"https://orcid.org/0000-0001-5961-9869","contributorId":167192,"corporation":false,"usgs":true,"family":"Matti","given":"Jonathan","email":"jmatti@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":845313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70245771,"text":"70245771 - 2022 - Potential for critical mineral deposits in Maine, USA","interactions":[],"lastModifiedDate":"2023-06-27T12:14:56.656893","indexId":"70245771","displayToPublicDate":"2022-06-28T07:11:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15677,"text":"Atlantic Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Potential for critical mineral deposits in Maine, USA","docAbstract":"<p>An analysis of the potential for deposits of critical minerals and elements in Maine presented here includes data and discussions for antimony, beryllium, cesium, chromium, cobalt, graphite, lithium, manganese, niobium, platinum group elements, rhenium, rare earth elements, tin, tantalum, tellurium, titanium, uranium, vanadium, tungsten, and zirconium. Deposits are divided into two groups based on geological settings and common ore-deposit terminology. One group consists of known deposits (sediment-hosted manganese, volcanogenic massive sulphide, porphyry copper-molybdenum, mafic- and ultramafic-hosted nickel-copper [-cobalt-platinum group elements], pegmatitic lithium-cesium-tantalum) that are in most cases relatively large, well-documented, and have been explored extensively in the past. The second, and much larger group of different minerals and elements, comprises small deposits, prospects, and occurrences that are minimally explored or unexplored. The qualitative assessment used in this study relies on three key criteria: (1) the presence of known deposits, prospects, or mineral occurrences; (2) favourable geologic settings for having certain deposit types based on current ore deposit models; and (3) geochemical anomalies in rocks or stream sediments, including panned concentrates. Among 20 different deposit types considered herein, a high resource potential is assigned only to three: (1) sediment-hosted manganese, (2) mafic- and ultramafic-hosted nickel-copper(-cobalt-platinum group elements), and (3) pegmatitic lithium-cesium-tantalum. Moderate potential is assigned to 11 other deposit types, including: (1) porphyry copper-molybdenum (-rhenium, selenium, tellurium, bismuth, platinum group elements); (2) chromium in ophiolites; (3) platinum group elements in ophiolitic ultramafic rocks; (4) granite-hosted uranium-thorium; (5) tin in granitic plutons and veins; (6) niobium, tantalum, and rare earth elements in alkaline intrusions; (7) tungsten and bismuth in polymetallic veins; (8) vanadium in black shales; (9) antimony in orogenic veins and replacements; (10) tellurium in epithermal deposits; and (11) uranium in peat.</p>","language":"English","publisher":"Atlantic Geology","doi":"10.4138/atlgeo.2022.007","usgsCitation":"Slack, J.F., Beck, F., Bradley, D., Felch, M.M., Marvinney, R.G., and Whittaker, A., 2022, Potential for critical mineral deposits in Maine, USA: Atlantic Geoscience, v. 58, p. 155-191, https://doi.org/10.4138/atlgeo.2022.007.","productDescription":"37 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 \"}}]}","volume":"58","noUsgsAuthors":false,"publicationDate":"2022-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":876278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, F.M.","contributorId":313567,"corporation":false,"usgs":false,"family":"Beck","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":876279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, D.C.","contributorId":313568,"corporation":false,"usgs":false,"family":"Bradley","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":876280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felch, M. M.","contributorId":313569,"corporation":false,"usgs":false,"family":"Felch","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":876281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvinney, Robert G.","contributorId":131130,"corporation":false,"usgs":false,"family":"Marvinney","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":876282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whittaker, A.T.H.","contributorId":313570,"corporation":false,"usgs":false,"family":"Whittaker","given":"A.T.H.","email":"","affiliations":[],"preferred":false,"id":876283,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232684,"text":"70232684 - 2022 - Possible effects of multiphase methane evolution during a glacial cycle on underpressure development in sedimentary basins: An analysis with application to the northeast Michigan Basin","interactions":[],"lastModifiedDate":"2022-07-12T11:59:19.205172","indexId":"70232684","displayToPublicDate":"2022-06-26T06:54:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7514,"text":"Journal of Geophysical Research - Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Possible effects of multiphase methane evolution during a glacial cycle on underpressure development in sedimentary basins: An analysis with application to the northeast Michigan Basin","docAbstract":"<div class=\"article-section__content en main\"><p>In low-permeability systems, groundwater may be accompanied by separate-phase fluids, and measured pore water pressures may deviate from those expected in steady-state, single-phase systems. These same systems may be of interest for storage of nuclear waste in Deep Geologic Repositories. Therefore, it is important to understand the relationship between the presence of a separate phase and anomalous pressure development. At the Bruce site in Southern Ontario, a significant underpressure was observed, and there is evidence for the presence of gas-phase methane in situ. This study used a one-dimensional (vertical) numerical model of the subsurface down to a depth of 844&nbsp;m beneath the Bruce site to evaluate possible effects of hydromechanical coupling with multiphase flow on pressure evolution during glacial loading and unloading. The simulated pressure conditions were affected strongly by the amount of methane initially present in the system, and the maximum simulated underpressure varied nonmonotonically with increasing initial methane content. When the initial methane content was below the solubility limit, exsolution led to underpressures that briefly exceeded those that formed in the single-phase case. At intermediate initial methane contents (sufficient to produce an immobile gas phase), the gas phase dampened the hydromechanical effects of the glacial cycle. At large initial methane contents (when a mobile gas phase was present), gas migration caused a large decrease in relative liquid permeability, which further contributed to underpressure development in the pore water. Multiple scenarios that spanned a range of initial methane contents yielded underpressures like those observed at the Bruce site.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB023322","usgsCitation":"Plampin, M.R., and Provost, A.M., 2022, Possible effects of multiphase methane evolution during a glacial cycle on underpressure development in sedimentary basins: An analysis with application to the northeast Michigan Basin: Journal of Geophysical Research - Solid Earth, v. 127, no. 7, e2021JB023322, 20 p., https://doi.org/10.1029/2021JB023322.","productDescription":"e2021JB023322, 20 p.","ipdsId":"IP-133043","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":435794,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9I7O770","text":"USGS data release","linkHelpText":"Model of potential multiphase methane evolution in the subsurface of Southern Ontario across a wide range of initial gas contents"},{"id":403464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Plampin, Michelle R. 0000-0003-4068-5801 mplampin@usgs.gov","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":204983,"corporation":false,"usgs":true,"family":"Plampin","given":"Michelle","email":"mplampin@usgs.gov","middleInitial":"R.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":846253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":2830,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":846254,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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