{"pageNumber":"422","pageRowStart":"10525","pageSize":"25","recordCount":184785,"records":[{"id":70230638,"text":"70230638 - 2022 - Portable optically stimulated luminescence age map of a paleoseismic exposure","interactions":[],"lastModifiedDate":"2022-04-19T14:52:32.370176","indexId":"70230638","displayToPublicDate":"2022-01-11T09:43:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Portable optically stimulated luminescence age map of a paleoseismic exposure","docAbstract":"<p><span>The quality and quantity of geochronologic data used to constrain the history of major earthquakes in a region exerts a first-order control on the accuracy of seismic hazard assessments that affect millions of people. However, evaluations of geochronological data are limited by uncertainties related to inherently complex depositional processes that may vary spatially and temporally. To improve confidence in models of earthquake timing, we use a high-density suite of radiocarbon and optically stimulated luminescence (OSL) ages with a grid of 342 portable OSL samples to explore spatiotemporal trends in geochronological data across an exemplary normal fault colluvial wedge exposure. The data reveal a two-dimensional age map of the paleoseismic exposure and demonstrate how vertical and horizontal trends in age relate to dominant sedimentary facies and soil characteristics at the site. Portable OSL data provide critical context for the interpretation of&nbsp;</span><sup>14</sup><span>C and OSL ages, show that geochronologic age boundaries between pre- and post-earthquake deposits do not match stratigraphic contacts, and provide the basis for selecting alternate Bayesian models of earthquake timing. Our results demonstrate the potential to use emergent, portable OSL methods to dramatically improve paleoseismic constraints on earthquake timing.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49472.1","usgsCitation":"DuRoss, C., Gold, R.D., Gray, H., and Nicovich, S.R., 2022, Portable optically stimulated luminescence age map of a paleoseismic exposure: Geology, v. 50, no. 4, p. 470-475, https://doi.org/10.1130/G49472.1.","productDescription":"6 p.","startPage":"470","endPage":"475","ipdsId":"IP-134256","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":449199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49472.1","text":"Publisher Index Page"},{"id":399085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Deep Creek site, Wasatch fault zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.8639,\n              39.5056\n            ],\n            [\n              -111.8583,\n              39.5056\n            ],\n            [\n              -111.8583,\n              39.5111\n            ],\n            [\n              -111.8639,\n              39.5111\n            ],\n            [\n              -111.8639,\n              39.5056\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-01-11","publicationStatus":"PW","contributors":{"authors":[{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":840960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicovich, Sylvia R.","contributorId":290414,"corporation":false,"usgs":false,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":840961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255178,"text":"70255178 - 2022 - Site fidelity as a maladaptive behavior in the Anthropocene","interactions":[],"lastModifiedDate":"2024-06-13T14:11:32.632785","indexId":"70255178","displayToPublicDate":"2022-01-11T09:08:49","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":"Site fidelity as a maladaptive behavior in the Anthropocene","docAbstract":"<p><span>Site fidelity, or the behavior of returning to previously visited locations, has been observed across taxa and ecosystems. By developing familiarity with a particular location, site fidelity provides a range of benefits and is advantageous in stable or predictable environments. However, the Anthropocene is characterized by rates of environmental change that outpace the evolutionary history of extant taxa, which can result in site fidelity becoming maladaptive. Here we outline the theoretical underpinnings for maladaptive site fidelity and synthesize empirical research supporting its occurrence, and examine it in the context of a related concept, ecological traps, whereby organisms exhibit maladaptive behavior in habitat selection. We then discuss adaptive mechanisms that may enable species with site fidelity to continue to persist in the Anthropocene. With ongoing environmental change, researchers and practitioners should expect fidelity-induced ecological traps to become more common, and initiate projects to identify and understand their origins. Such knowledge will help conserve the widespread and ecologically important behavior of site fidelity.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2456","usgsCitation":"Merkle, J.A., Abrahms, B., Armstrong, J., Sawyer, H., Costa, D.P., and Chalfoun, A.D., 2022, Site fidelity as a maladaptive behavior in the Anthropocene: Frontiers in Ecology and the Environment, v. 20, no. 3, p. 187-194, https://doi.org/10.1002/fee.2456.","productDescription":"8 p.","startPage":"187","endPage":"194","ipdsId":"IP-125854","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-01-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Merkle, Jerod A.","contributorId":272239,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","email":"","middleInitial":"A.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":903675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahms, Briana","contributorId":338281,"corporation":false,"usgs":false,"family":"Abrahms","given":"Briana","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":903676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Armstrong, Jonathan B.","contributorId":287296,"corporation":false,"usgs":false,"family":"Armstrong","given":"Jonathan B.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":903677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sawyer, Hall","contributorId":270423,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","email":"","affiliations":[{"id":51998,"text":"Western EcoSystems Technology","active":true,"usgs":false}],"preferred":false,"id":903678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Costa, Daniel P.","contributorId":141212,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":903679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":903674,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230838,"text":"70230838 - 2022 - Alert optimization of the PLUM earthquake early warning algorithm for the western United States","interactions":[],"lastModifiedDate":"2022-04-26T14:06:19.287356","indexId":"70230838","displayToPublicDate":"2022-01-11T09:01:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Alert optimization of the PLUM earthquake early warning algorithm for the western United States","docAbstract":"<p><span>We determine an optimal alerting configuration for the propagation of local undamped motion (PLUM) earthquake early warning (EEW) algorithm for use by the U.S. ShakeAlert system covering California, Oregon, and Washington. All EEW systems should balance the primary goal of providing timely alerts for impactful or potentially damaging shaking while limiting alerts for shaking that is too low to be of concern (precautionary alerts). The PLUM EEW algorithm forward predicts observed ground motions to nearby sites within a defined radius without accounting for attenuation, avoiding the earthquake source parameter estimation step of most EEW algorithms. PLUM was originally developed in Japan where the alert regions and ground motions for which alerts are issued differ from those implemented by ShakeAlert. We compare predicted ground motions from PLUM to ShakeMap‐reported ground motions for a set of 22&nbsp;U.S. West Coast earthquakes of magnitude 4.4–7.2 and evaluate available warning times. We examine a range of prediction radii (20–100&nbsp;km), thresholds used to issue an alert (alert threshold), and levels of impactful or potentially damaging shaking (target threshold). We find optimal performance when the alert threshold is close to the target threshold, although higher target ground motions benefit from somewhat lower alert thresholds to ensure timely alerts. We also find that performance, measured as the cost reduction that a user can achieve, depends on the user’s tolerance for precautionary alerts. Users with a low target threshold and high tolerance for precautionary alerts achieve optimal performance when larger prediction radii (60–100&nbsp;km) are used. In contrast, users with high target thresholds and low tolerance for precautionary alerts achieve better performance for smaller prediction radii (30–60&nbsp;km). Therefore, setting the PLUM prediction radius to 60&nbsp;km balances the needs of many users and provides warning times of up to ∼20&nbsp;s.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120210259","usgsCitation":"Cochran, E.S., Saunders, J.K., Minson, S.E., Bunn, J., Baltay Sundstrom, A.S., Kilb, D., O’Rourke, C.T., Hoshiba, M., and Kodera, Y., 2022, Alert optimization of the PLUM earthquake early warning algorithm for the western United States: Bulletin of the Seismological Society of America, v. 112, no. 2, p. 803-819, https://doi.org/10.1785/0120210259.","productDescription":"17 p.","startPage":"803","endPage":"819","ipdsId":"IP-133243","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":399664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  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0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":841438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunn, Julian","contributorId":216379,"corporation":false,"usgs":false,"family":"Bunn","given":"Julian","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":841439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":841440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilb, Debi","contributorId":206552,"corporation":false,"usgs":false,"family":"Kilb","given":"Debi","affiliations":[{"id":37339,"text":"Scripps/UCSD","active":true,"usgs":false}],"preferred":false,"id":841441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Rourke, Colin T 0000-0001-5403-4685","orcid":"https://orcid.org/0000-0001-5403-4685","contributorId":290635,"corporation":false,"usgs":true,"family":"O’Rourke","given":"Colin","email":"","middleInitial":"T","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":841442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoshiba, Mitsuyuki","contributorId":216382,"corporation":false,"usgs":false,"family":"Hoshiba","given":"Mitsuyuki","email":"","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":841443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kodera, Yuki","contributorId":290636,"corporation":false,"usgs":false,"family":"Kodera","given":"Yuki","email":"","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":841444,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70230318,"text":"70230318 - 2022 - Distinct gut microbiomes in two polar bear subpopulations inhabiting different sea ice ecoregions","interactions":[],"lastModifiedDate":"2022-04-08T11:11:21.587662","indexId":"70230318","displayToPublicDate":"2022-01-11T08:21:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Distinct gut microbiomes in two polar bear subpopulations inhabiting different sea ice ecoregions","docAbstract":"<p><span>Gut microbiomes were analyzed by 16S rRNA gene metabarcoding for polar bears (</span><i>Ursus maritimus</i><span>) from the southern Beaufort Sea (SB), where sea ice loss has led to increased use of land-based food resources by bears, and from East Greenland (EG), where persistent sea ice has allowed hunting of ice-associated prey nearly year-round. SB polar bears showed a higher number of total (940 vs. 742) and unique (387 vs. 189) amplicon sequence variants and higher inter-individual variation compared to EG polar bears. Gut microbiome composition differed significantly between the two subpopulations and among sex/age classes, likely driven by diet variation and ontogenetic shifts in the gut microbiome. Dietary tracer analysis using fatty acid signatures for SB polar bears showed that diet explained more intrapopulation variation in gut microbiome composition and diversity than other tested variables, i.e., sex/age class, body condition, and capture year. Substantial differences in the SB gut microbiome relative to EG polar bears, and associations between SB gut microbiome and diet, suggest that the shifting foraging habits of SB polar bears tied to sea ice loss may be altering their gut microbiome, with potential consequences for nutrition and physiology.</span></p>","language":"English","publisher":"Nature Publications","doi":"10.1038/s41598-021-04340-2","usgsCitation":"Franz, M., White, L., Atwood, T.C., Laidre, K.L., Roy, D., Watson, S., Gongora, E., and McKinney, M., 2022, Distinct gut microbiomes in two polar bear subpopulations inhabiting different sea ice ecoregions: Scientific Reports, v. 12, 522, 15 p., https://doi.org/10.1038/s41598-021-04340-2.","productDescription":"522, 15 p.","ipdsId":"IP-131826","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":449203,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-04340-2","text":"Publisher Index Page"},{"id":436001,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97KU2YD","text":"USGS data release","linkHelpText":"Southern Beaufort Sea Polar Bear Diet and Gut Microbiota Data, 2015-2019"},{"id":398307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Greenland, United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -39.375,\n              61.270232790000634\n            ],\n            [\n              -23.203125,\n              68.78414378041504\n            ],\n            [\n              -35.15625,\n              70.1403642720717\n            ],\n            [\n     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University","active":true,"usgs":false}],"preferred":false,"id":839976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gongora, Esteban","contributorId":289882,"corporation":false,"usgs":false,"family":"Gongora","given":"Esteban","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":839977,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McKinney, Melissa","contributorId":222146,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":839978,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70231511,"text":"70231511 - 2022 - Mine drainage precipitates attenuate and conceal wastewater-derived phosphate pollution in stream water","interactions":[],"lastModifiedDate":"2022-05-12T13:23:18.566652","indexId":"70231511","displayToPublicDate":"2022-01-11T08:14:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mine drainage precipitates attenuate and conceal wastewater-derived phosphate pollution in stream water","docAbstract":"<p><span>Hydrous ferric-oxide (HFO) coatings on streambed sediments may attenuate dissolved phosphate (PO</span><sub>4</sub><span>) concentrations at acidic to neutral pH conditions, limiting phosphorus (P) transport and availability in&nbsp;aquatic ecosystems. Mesh-covered tiles on which “natural” HFO from abandoned&nbsp;mine drainage&nbsp;(AMD) had precipitated were exposed to treated&nbsp;municipal wastewater&nbsp;(MWW) effluent or a mixture of stream water and effluent. Between 42 and 99% of the dissolved P in effluent was removed from the water to a thin coating (~2&nbsp;μm) of HFO on the mesh. Geochemical equilibrium model results predicted the removal of 76 to 99% of PO</span><sub>4</sub><span>&nbsp;from the water by adsorption to the HFO, depending on the HFO quantity, initial PO</span><sub>4</sub><span>&nbsp;concentration, and pH. The measurements and model results indicated the capacity for P removal decreased as the concentration of P associated with the HFO increased. Continuing accumulation of HFO from upstream AMD sources replenish the in-stream capacity for P attenuation below the MWW discharge. This indicates AMD pollution may conceal P inputs and limit the amount of dissolved P transported to downstream ecosystems. However, HFO-rich sediments also represent a potential source of “legacy” P that could confound management practices intended to decrease nutrient and metal loadings.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.152672","usgsCitation":"Smyntek, P.M., Lamagna, N., Cravotta, C., and Strosnider, W., 2022, Mine drainage precipitates attenuate and conceal wastewater-derived phosphate pollution in stream water: Science of the Total Environment, v. 815, 152672, 8 p., https://doi.org/10.1016/j.scitotenv.2021.152672.","productDescription":"152672, 8 p.","ipdsId":"IP-132530","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":436002,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D8VQDV","text":"USGS data release","linkHelpText":"Interactive PHREEQ-N-Titration-PO4-Adsorption water-quality modeling tools to evaluate potential attenuation of phosphate and associated dissolved constituents by aqueous-solid equilibrium processes (software download)"},{"id":400574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Four Mile Run","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.44746017456055,\n              40.28279959861071\n            ],\n            [\n              -79.39699172973633,\n              40.28279959861071\n            ],\n            [\n              -79.39699172973633,\n              40.32050383546901\n            ],\n            [\n              -79.44746017456055,\n              40.32050383546901\n            ],\n            [\n              -79.44746017456055,\n              40.28279959861071\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"815","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smyntek, Peter M.","contributorId":291642,"corporation":false,"usgs":false,"family":"Smyntek","given":"Peter","email":"","middleInitial":"M.","affiliations":[{"id":62738,"text":"Saint Vincent College","active":true,"usgs":false}],"preferred":false,"id":842810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamagna, Natalie","contributorId":291643,"corporation":false,"usgs":false,"family":"Lamagna","given":"Natalie","email":"","affiliations":[{"id":62738,"text":"Saint Vincent College","active":true,"usgs":false}],"preferred":false,"id":842811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strosnider, William H. J.","contributorId":291644,"corporation":false,"usgs":false,"family":"Strosnider","given":"William H. J.","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":842813,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227380,"text":"70227380 - 2022 - Highly pathogenic avian influenza is an emerging disease threat to wild birds in North America","interactions":[],"lastModifiedDate":"2022-03-15T16:53:15.858946","indexId":"70227380","displayToPublicDate":"2022-01-11T06:52:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Highly pathogenic avian influenza is an emerging disease threat to wild birds in North America","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Prior to the emergence of the A/goose/Guangdong/1/1996 (Gs/GD) H5N1 influenza A virus, the long-held and well-supported paradigm was that highly pathogenic avian influenza (HPAI) outbreaks were restricted to poultry, the result of cross-species transmission of precursor viruses from wild aquatic birds that subsequently gained pathogenicity in domestic birds. Therefore, management agencies typically adopted a prevention, control, and eradication strategy that included strict biosecurity for domestic bird production, isolation of infected and exposed flocks, and prompt depopulation. In most cases, this strategy has proved sufficient for eradicating HPAI. Since 2002, this paradigm has been challenged with many detections of viral descendants of the Gs/GD lineage among wild birds, most of which have been associated with sporadic mortality events. Since the emergence and evolution of the genetically distinct clade 2.3.4.4 Gs/GD lineage HPAI viruses in approximately 2010, there have been further increases in the occurrence of HPAI in wild birds and geographic spread through migratory bird movement. A prominent example is the introduction of clade 2.3.4.4 Gs/GD HPAI viruses from East Asia to North America via migratory birds in autumn 2014 that ultimately led to the largest outbreak of HPAI in the history of the United States. Given the apparent maintenance of Gs/GD lineage HPAI viruses in a global avian reservoir; bidirectional virus exchange between wild and domestic birds facilitating the continued adaptation of Gs/GD HPAI viruses in wild bird hosts; the current frequency of HPAI outbreaks in wild birds globally, and particularly in Eurasia where Gs/GD HPAI viruses may now be enzootic; and ongoing dispersal of AI viruses from East Asia to North America via migratory birds, HPAI now represents an emerging disease threat to North American wildlife. This recent paradigm shift implies that management of HPAI in domestic birds alone may no longer be sufficient to eradicate HPAI viruses from a given country or region. Rather, agencies managing wild birds and their habitats may consider the development or adoption of mitigation strategies to minimize introductions to poultry, to reduce negative impacts on wild bird populations, and to diminish adverse effects to stakeholders using wildlife resources. The main objective of this review is, therefore, to provide information that will assist wildlife managers in developing mitigation strategies or approaches for dealing with outbreaks of Gs/GD HPAI in wild birds in the form of preparedness, surveillance, research, communications, and targeted management actions. Resultant outbreak response plans and actions may represent meaningful steps of wildlife managers toward the use of collaborative and multi-jurisdictional One Health approaches when it comes to the detection, investigation, and mitigation of emerging viruses at the human-domestic animal-wildlife interface.</p></div></div>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22171","usgsCitation":"Ramey, A.M., Hill, N.J., DeLiberto, T., Gibbs, S.E., Hopkins, M.C., Lang, A.S., Poulson, R., Prosser, D., Sleeman, J.M., Stallknecht, D., and Wan, X., 2022, Highly pathogenic avian influenza is an emerging disease threat to wild birds in North America: Journal of Wildlife Management, v. 86, no. 2, e22171, 21 p., https://doi.org/10.1002/jwmg.22171.","productDescription":"e22171, 21 p.","ipdsId":"IP-130270","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":449207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22171","text":"Publisher Index Page"},{"id":394238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-01-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":830677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":830678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLiberto, Thomas J.","contributorId":139362,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas J.","affiliations":[{"id":12749,"text":"USDA APHIS National Wildlife Research Center, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":830679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbs, Samantha E. J.","contributorId":271067,"corporation":false,"usgs":false,"family":"Gibbs","given":"Samantha","email":"","middleInitial":"E. J.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":830680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hopkins, M. Camille 0000-0003-1465-6038","orcid":"https://orcid.org/0000-0003-1465-6038","contributorId":206863,"corporation":false,"usgs":true,"family":"Hopkins","given":"M.","email":"","middleInitial":"Camille","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":830681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lang, Andrew S.","contributorId":177028,"corporation":false,"usgs":false,"family":"Lang","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":830682,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":830683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830684,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":830685,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":830686,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wan, Xiu-Feng","contributorId":173959,"corporation":false,"usgs":false,"family":"Wan","given":"Xiu-Feng","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830687,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70229655,"text":"70229655 - 2022 - Leveraging community science data for population assessments during a pandemic","interactions":[],"lastModifiedDate":"2022-04-12T13:42:34.235584","indexId":"70229655","displayToPublicDate":"2022-01-11T06:38:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging community science data for population assessments during a pandemic","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The COVID-19 pandemic has disrupted field research programs, making conservation and management decision-making more challenging. However, it may be possible to conduct population assessments using integrated models that combine community science data with existing data from structured surveys. We developed a space-time integrated model to characterize spatial and temporal variability in population distribution. We fit our integrated model to 10 years of eBird (2010-2020) and 9 years of aerial survey (2010-2019) mottled duck count data to forecast 2020 population size along the western Gulf Coast of Texas and Louisiana. Estimates of mottled duck abundance were similar in magnitude to estimates calculated using previous methods, but were more precise and showed evidence of a declining population. The spatial distribution for mottled ducks each year was characterized by several concentrations of relatively high abundance, although the location of these abundance ‘hotspots’ varied over time. Expected abundance was higher for areas with a higher proportion of area covered by marsh habitat. By leveraging large-scale community science data, we were able to conduct a population assessment despite the disruption in structured surveys caused by the pandemic. As participation in community science platforms continues to increase, we anticipate modeling frameworks, like the integrated model we developed here, will become increasingly useful for informing conservation and management decision-making.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2529","usgsCitation":"Howell, P., Devers, P., Robinson, O., and Royle, A., 2022, Leveraging community science data for population assessments during a pandemic: Ecological Applications, v. 32, e2529, 12 p., https://doi.org/10.1002/eap.2529.","productDescription":"e2529, 12 p.","ipdsId":"IP-130228","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":397011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.12109375,\n              29.916852233070173\n            ],\n            [\n              -90.1318359375,\n              30.20211367909724\n            ],\n            [\n              -91.0546875,\n              29.916852233070173\n            ],\n            [\n              -92.548828125,\n              30.164126343161097\n            ],\n            [\n              -94.37255859375,\n              30.164126343161097\n            ],\n            [\n              -95.2734375,\n              29.897805610155874\n            ],\n            [\n              -96.15234375,\n              29.11377539511439\n            ],\n            [\n              -97.294921875,\n              28.613459424004414\n            ],\n            [\n              -97.97607421875,\n              28.188243641850313\n            ],\n            [\n              -98.10791015625,\n              27.449790329784214\n            ],\n            [\n              -97.75634765625,\n              26.23430203240673\n            ],\n            [\n              -97.2509765625,\n              25.918526162075153\n            ],\n            [\n              -96.96533203125,\n              26.115985925333536\n            ],\n            [\n              -97.20703125,\n              26.82407078047018\n            ],\n            [\n              -96.767578125,\n              27.9361805667694\n            ],\n            [\n              -94.833984375,\n              29.05616970274342\n            ],\n            [\n              -93.31787109374999,\n              29.611670115197377\n            ],\n            [\n              -92.1533203125,\n              29.152161283318915\n            ],\n            [\n              -90.9228515625,\n              29.017748018496047\n            ],\n            [\n              -89.75830078125,\n              28.9023972285585\n            ],\n            [\n              -88.857421875,\n              28.97931203672246\n            ],\n            [\n              -89.12109375,\n              29.916852233070173\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","noUsgsAuthors":false,"publicationDate":"2022-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Paige","contributorId":288385,"corporation":false,"usgs":false,"family":"Howell","given":"Paige","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":837821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devers, Patrick","contributorId":288388,"corporation":false,"usgs":false,"family":"Devers","given":"Patrick","affiliations":[{"id":7199,"text":"US FWS","active":true,"usgs":false}],"preferred":false,"id":837822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Orin J.","contributorId":288389,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin J.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":837823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":837824,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227346,"text":"dr1147 - 2022 - Distribution and abundance of Least Bell’s Vireos (<i>Vireo bellii pusillus</i>) and Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>) on the Middle San Luis Rey River, San Diego County, southern California—2021 Data summary","interactions":[],"lastModifiedDate":"2022-01-11T12:07:57.610293","indexId":"dr1147","displayToPublicDate":"2022-01-10T14:37:01","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1147","displayTitle":"Distribution and Abundance of Least Bell’s Vireos (<i>Vireo bellii pusillus</i>) and Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>) on the Middle San Luis Rey River, San Diego County, Southern California—2021 Data Summary","title":"Distribution and abundance of Least Bell’s Vireos (<i>Vireo bellii pusillus</i>) and Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>) on the Middle San Luis Rey River, San Diego County, southern California—2021 Data summary","docAbstract":"<h1>Executive Summary</h1><p>We surveyed for Least Bell’s Vireos (<i>Vireo bellii pusillus</i>; vireo) and Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>; flycatcher) along the San Luis Rey River, between College Boulevard in Oceanside and Interstate 15 in Fallbrook, California (middle San Luis Rey River), in 2021. Surveys were conducted from April 13 to July 14 (vireo) and from May 18 to July 13 (flycatcher). We found 180 vireo territories, at least 125 of which were occupied by pairs. The vireo population size decreased by 6 percent from 2020 to 2021. In 2021, vireo territories decreased by 14 percent in the portion of the middle San Luis Rey River that burned in 2017 and decreased by 2 percent outside of the burned area.</p><p>Vireos used six different habitat types in the survey area: (1) willow-cottonwood, (2) mixed willow riparian, (3) riparian scrub, (4) upland scrub, (5) willow-sycamore, and (6) non-native. Forty percent of the vireos were detected in habitat characterized as willow-cottonwood, and 97 percent of the vireos were detected in habitat with greater than 50-percent native plant cover. Of the 14 banded vireos detected in the survey area, 3 were resighted with a full color-band combination. There were 10 other vireos with single (natal) federal bands that were recaptured, identified, and color-banded in 2021. One vireo with a single dark blue federal band, indicating that it was banded as a nestling at the lower San Luis Rey River, could not be recaptured for identification. The 10 natal vireos that were recaptured on the middle San Luis Rey River dispersed from 2.0 to 11.7 kilometers from their natal territories. Banded vireos with a known age ranged from 1 to 7 years old.</p><p>One resident flycatcher, of undetermined breeding status, was observed in the survey area in 2021. The resident flycatcher (male) was detected in a territory of mixed willow habitat with greater than 50-percent native plant cover. He was detected from May 20 to June 4, 2021, and no evidence of pairing or nesting was observed. The male flycatcher was resighted with a unique color-band combination and had occupied the same territory since 2018.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1147","usgsCitation":"Allen, L.D., and Kus, B.E., 2022, Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) on the Middle San Luis Rey River, San Diego County, southern California—2021 Data summary: U.S. Geological Survey Data Report 1147, 12 p., https://doi.org/10.3133/dr1147.","productDescription":"iv, 12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-135051","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":436004,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UPGVPG","text":"USGS data release","linkHelpText":"Distribution and Abundance of Least Bell's Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) on the Middle San Luis Rey River, San Diego County, Southern California in 2021"},{"id":394135,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1147/covrthb.jpg"},{"id":394136,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1147/dr1147.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":394137,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1147/dr1147.pdf"},{"id":394138,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1147/images"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Middle San Luis Rey River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.22137451171874,\n              32.90265033334125\n            ],\n            [\n              -117.18841552734374,\n              32.63937487360669\n            ],\n            [\n              -116.48254394531249,\n              32.71566625570313\n            ],\n            [\n              -116.5264892578125,\n              32.960281958039836\n            ],\n            [\n              -117.22137451171874,\n              32.90265033334125\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/%20centers/%20werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/ centers/ werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Executive Summary&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Least Bell's Vireo&nbsp;&nbsp;</li><li>Southwestern Willow Flycatcher&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>Acknowledgments&nbsp;&nbsp;</li><li>References Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-01-10","noUsgsAuthors":false,"publicationDate":"2022-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":830541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":830542,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70230139,"text":"70230139 - 2022 - Parasites in kelp-forest food webs increase food-chain length, complexity, and specialization, but reduce connectance","interactions":[],"lastModifiedDate":"2022-05-13T15:01:56.406888","indexId":"70230139","displayToPublicDate":"2022-01-10T10:35:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Parasites in kelp-forest food webs increase food-chain length, complexity, and specialization, but reduce connectance","docAbstract":"<p><span>We explored whether parasites are important in kelp forests by examining their effects on a high-quality, high-resolution kelp-forest food web. After controlling for generic effects of network size, parasites affected kelp-forest food web structure in some ways consistent with other systems. Parasites increased the trophic span of the web, increasing top predator vulnerability and the longest chain length. Unique links associated with parasites, such as concomitant predation (consumption of parasites along with their hosts by predators) increased the frequency of network motifs involving mutual consumption and decreased niche contiguity of free-living species. However, parasites also affected kelp-forest food web structure in ways not seen in other systems. Kelp-forest parasites are richer and more specialized than other systems. As a result, parasites reduced diet generality and decreased connectance in the kelp forest. Although mutual consumption motifs increased in frequency, this motif type was still a small fraction of all possible motifs, so their increase in frequency was not enough to compensate for the decrease in connectance caused by adding many specialist parasite species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1506","usgsCitation":"Morton, D.N., and Lafferty, K.D., 2022, Parasites in kelp-forest food webs increase food-chain length, complexity, and specialization, but reduce connectance: Ecological Monographs, v. 92, no. 2, e1506, 20 p., https://doi.org/10.1002/ecm.1506.","productDescription":"e1506, 20 p.","ipdsId":"IP-128853","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":449213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1506","text":"Publisher Index Page"},{"id":397861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands, Santa Barbara Channel","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.4815673828125,\n              33.9\n            ],\n            [\n              -119.40765380859375,\n              33.9\n            ],\n            [\n              -119.40765380859375,\n              34.46\n            ],\n            [\n              -120.4815673828125,\n              34.46\n            ],\n            [\n              -120.4815673828125,\n              33.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Morton, Dana N.","contributorId":224397,"corporation":false,"usgs":false,"family":"Morton","given":"Dana","email":"","middleInitial":"N.","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":839231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":839232,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70244303,"text":"70244303 - 2022 - North American tree migration paced by climate in the West, lagging in the East","interactions":[],"lastModifiedDate":"2023-06-13T13:32:31.643228","indexId":"70244303","displayToPublicDate":"2022-01-10T08:22:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"North American tree migration paced by climate in the West, lagging in the East","docAbstract":"<p><span>Tree fecundity and recruitment have not yet been quantified at scales needed to anticipate biogeographic shifts in response to climate change. By separating their responses, this study shows coherence across species and communities, offering the strongest support to date that migration is in progress with regional limitations on rates. The southeastern continent emerges as a fecundity hotspot, but it is situated south of population centers where high seed production could contribute to poleward population spread. By contrast, seedling success is highest in the West and North, serving to partially offset limited seed production near poleward frontiers. The evidence of fecundity and recruitment control on tree migration can inform conservation planning for the expected long-term disequilibrium between climate and forest distribution.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2116691118","usgsCitation":"Sharma, S., Andrus, R., Bergeron, Y., Bogdziewicz, M., Bragg, D.C., Brockway, D.G., Cleavitt, N.L., Courbaud, B., Das, A., Dietze, M., Fahey, T.J., Franklin, J.F., Gregory, G.S., Greenberg, C.H., Guo, Q., Lambers, J., Ibanez, I., Johnstone, J.F., Kilner, C.L., Knops, J., Koenig, W.D., Kunstler, G., LaMontagne, J.M., Macias, D., Moran, E.V., Myers, J.A., Parmenter, R., Pearse, I., Poulton-Kamakura, R., Redmond, M.D., Reid, C.D., Rodman, K., Scher, C., Schlesinger, W.H., Steele, M.A., Stephenson, N.L., Swenson, J., Swift, M., Veblen, T.T., Whipple, A., Whitham, T.G., Wion, A.P., Woodall, C.W., Zlotin, R., and Clark, J.S., 2022, North American tree migration paced by climate in the 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,{"id":70227522,"text":"70227522 - 2022 - From crystals to crustal-scale seismic anisotropy: Bridging the gap between rocks and seismic studies with digital geologic map data in Colorado","interactions":[],"lastModifiedDate":"2022-01-20T13:07:37.613783","indexId":"70227522","displayToPublicDate":"2022-01-10T07:02:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"From crystals to crustal-scale seismic anisotropy: Bridging the gap between rocks and seismic studies with digital geologic map data in Colorado","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Deep continental crustal structures are enigmatic due to lack of direct exposures and limited tools to investigate them remotely. Seismic waves can sample these rocks, but most seismic methods focus on coarse crustal structures while laboratory measurements concentrate on crystal-scale rock properties, and little work has been conducted to bridge this interpretation gap. In some places, geologic maps of crystalline basement provide samples of the intermediate-scale fabrics and structures that may represent in situ deep crust. However, previous research has not considered natural geometric variations from map data, nor is this heterogeneity typically included in map-scale seismic property calculations. Here, we test how map-scale fabrics influence crustal seismic anisotropy in Colorado by analyzing structural data from geologic maps, combining those data with bulk rock elastic tensors to calculate map-scale seismic properties, and evaluating the resulting comparisons with observed receiver function A1 (360° periodic) arrivals. Crystalline fabrics, predicted seismic properties, and tectonic structures positively correlate with shallow and deep crustal A1 arrivals. Additionally, widespread correlations occur between mapped fault traces and regional foliations, implying that preexisting mechanical heterogeneity may have strongly influenced subsequent reactivation. We interpret that various mapped geologic contact types (e.g., lithologic and structural) generate A1 arrivals and that multiple parallel features (e.g., faults, foliations, and intrusions) contribute to a seismically visible tectonic grain. Therefore, Colorado's exhumed basement, as expressed in outcrops and maps, offers insight into modern deep crustal geological and geophysical structure.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021TC006893","usgsCitation":"Frothingham, M.G., Mahan, K.H., Schulte-Pelkum, V., Caine, J., and Vollmer, F.W., 2022, From crystals to crustal-scale seismic anisotropy: Bridging the gap between rocks and seismic studies with digital geologic map data in Colorado: Tectonics, v. 41, no. 1, e2021TC006893, 24 p., https://doi.org/10.1029/2021TC006893.","productDescription":"e2021TC006893, 24 p.","ipdsId":"IP-129461","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":449219,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021tc006893","text":"Publisher Index 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 \"}}]}","volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Frothingham, Michael G. 0000-0002-3502-1931","orcid":"https://orcid.org/0000-0002-3502-1931","contributorId":223119,"corporation":false,"usgs":false,"family":"Frothingham","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":40675,"text":"Montana State University, Bozeman","active":true,"usgs":false}],"preferred":false,"id":831233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahan, Kevin H. 0000-0001-6858-2498","orcid":"https://orcid.org/0000-0001-6858-2498","contributorId":271261,"corporation":false,"usgs":false,"family":"Mahan","given":"Kevin","email":"","middleInitial":"H.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":831234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulte-Pelkum, Vera 0000-0002-6057-5637","orcid":"https://orcid.org/0000-0002-6057-5637","contributorId":244614,"corporation":false,"usgs":false,"family":"Schulte-Pelkum","given":"Vera","email":"","affiliations":[{"id":48947,"text":"Cooperative Institute for Research in Environmental Sciences and Department of Geological Sciences, University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":831235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":831236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vollmer, Frederick W. 0000-0002-0385-8489","orcid":"https://orcid.org/0000-0002-0385-8489","contributorId":271263,"corporation":false,"usgs":false,"family":"Vollmer","given":"Frederick","email":"","middleInitial":"W.","affiliations":[{"id":56326,"text":"State University of New York at New Paltz","active":true,"usgs":false}],"preferred":false,"id":831237,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227379,"text":"70227379 - 2022 - Biocrusts mediate a new mechanism for land degradation under a changing climate","interactions":[],"lastModifiedDate":"2022-01-25T17:43:08.984081","indexId":"70227379","displayToPublicDate":"2022-01-10T06:58:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Biocrusts mediate a new mechanism for land degradation under a changing climate","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Global concerns for desertification have focused on the slow recovery of extensive and expanding drylands following disturbance, which may be exacerbated by climate change. Biological soil crusts (biocrusts) are photosynthetic soil communities found in drylands worldwide, which are central to the stability and resilience of dryland ecosystems, but vulnerable to global change. Here we use multiple decade-long experiments to investigate the consequences of climate and land-use change on biocrusts and soil stability. Biocrusts recovered rapidly under ambient temperatures but warming interacted with the precipitation disturbance to halt recovery. Moreover, warming alone caused losses of mosses, lichens and soil stability. Our results present a new mechanism contributing to land degradation in drylands whereby warming drives a state shift in biocrust communities, which degrades soil stability. The synergistic effects of climate and land-use change co-occur globally and our results support projections of increased desertification and lowered dryland resilience under warming.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41558-021-01249-6","usgsCitation":"Phillips, M.L., McNellis, B.E., Howell, A.J., Lauria, C.M., Belnap, J., and Reed, S., 2022, Biocrusts mediate a new mechanism for land degradation under a changing climate: Nature Climate Change, v. 12, p. 71-76, https://doi.org/10.1038/s41558-021-01249-6.","productDescription":"6 p.","startPage":"71","endPage":"76","ipdsId":"IP-133179","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":436005,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RUN1TP","text":"USGS data release","linkHelpText":"Data and software code from two long-term experiments (1996-2011 and 2005-2018) at three sites on the Colorado Plateau of North America"},{"id":394239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2022-01-10","publicationStatus":"PW","contributors":{"authors":[{"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":830671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNellis, Brandon E 0000-0001-9604-8727","orcid":"https://orcid.org/0000-0001-9604-8727","contributorId":271065,"corporation":false,"usgs":true,"family":"McNellis","given":"Brandon","email":"","middleInitial":"E","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howell, Armin J. 0000-0003-1243-0238 ahowell@usgs.gov","orcid":"https://orcid.org/0000-0003-1243-0238","contributorId":196798,"corporation":false,"usgs":true,"family":"Howell","given":"Armin","email":"ahowell@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauria, Cara Marie 0000-0001-8914-8041","orcid":"https://orcid.org/0000-0001-8914-8041","contributorId":271066,"corporation":false,"usgs":true,"family":"Lauria","given":"Cara","email":"","middleInitial":"Marie","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830675,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830676,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70236989,"text":"70236989 - 2022 - Where groundwater seeps: Evaluating modeled groundwater discharge patterns with thermal infrared surveys at the river-network scale","interactions":[],"lastModifiedDate":"2022-09-27T11:54:09.921852","indexId":"70236989","displayToPublicDate":"2022-01-10T06:50:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Where groundwater seeps: Evaluating modeled groundwater discharge patterns with thermal infrared surveys at the river-network scale","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara010\">Predicting baseflow dynamics, protecting aquatic habitat, and managing legacy contaminants requires explicit characterization and prediction of groundwater discharge patterns throughout river networks. Using handheld thermal infrared (TIR) cameras, we surveyed 47&nbsp;km of stream length across the Farmington River watershed (1,570 km<sup>2</sup>; CT and MA, USA), mapping locations of bank and waterline groundwater discharges based on their thermal signature. Using the observed groundwater discharge locations and predicted groundwater discharge rates from 6 variations of a numerical groundwater-flow model (MODFLOW-NWT), we compared 1) predicted groundwater-discharge rates in areas with and without observed groundwater discharge, 2) spatial patterns of observed and predicted groundwater discharge locations, and 3) density of observed groundwater discharge locations with predicted discharge rates. Five of six models reasonably predicted the spatial patterns of discharge locations along the 5th order mainstem, but fewer models predicted groundwater discharge patterns in smaller streams. Our results highlight 1) the feasibility of using TIR observations to evaluate groundwater models, 2) model parameters that influence discharge prediction accuracy (riverbed sediment and bedrock hydraulic conductivity and river-aquifer connections), and 3) current strengths and future opportunities for improved modeling of groundwater-discharge patterns.</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.advwatres.2021.104108","usgsCitation":"Barclay, J.R., Briggs, M., Moore, E., Starn, J., Hanson, A.E., and Helton, A., 2022, Where groundwater seeps: Evaluating modeled groundwater discharge patterns with thermal infrared surveys at the river-network scale: Advances in Water Resources, v. 106, 104108, 14 p., https://doi.org/10.1016/j.advwatres.2021.104108.","productDescription":"104108, 14 p.","ipdsId":"IP-130356","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":467206,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.advwatres.2021.104108","text":"Publisher Index Page"},{"id":436006,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EIV8L5","text":"USGS data release","linkHelpText":"Thermal Infrared images and field data on areas of groundwater discharge in the Farmington River watershed"},{"id":407389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts","otherGeospatial":"Farmington River Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.13323974609374,\n              41.70982942509964\n            ],\n            [\n              -72.4053955078125,\n              41.70982942509964\n            ],\n            [\n              -72.4053955078125,\n              42.27730877423709\n            ],\n            [\n              -73.13323974609374,\n              42.27730877423709\n            ],\n            [\n              -73.13323974609374,\n              41.70982942509964\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":257637,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":852942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Eric","contributorId":216658,"corporation":false,"usgs":false,"family":"Moore","given":"Eric","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":852943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starn, J. Jeffrey 0000-0001-5909-0010 jjstarn@usgs.gov","orcid":"https://orcid.org/0000-0001-5909-0010","contributorId":1916,"corporation":false,"usgs":true,"family":"Starn","given":"J. Jeffrey","email":"jjstarn@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":852944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Ann E.H.","contributorId":296947,"corporation":false,"usgs":false,"family":"Hanson","given":"Ann","email":"","middleInitial":"E.H.","affiliations":[],"preferred":false,"id":852945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helton, Ashley","contributorId":219741,"corporation":false,"usgs":false,"family":"Helton","given":"Ashley","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":852946,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227375,"text":"70227375 - 2022 - Species-specific responses to landscape features shaped genomic structure within Alaska galliformes","interactions":[],"lastModifiedDate":"2022-02-15T16:25:54.67058","indexId":"70227375","displayToPublicDate":"2022-01-08T07:14:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Species-specific responses to landscape features shaped genomic structure within Alaska galliformes","docAbstract":"<h3 id=\"jbi14294-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Connectivity is vital to the resiliency of populations to environmental change and stochastic events, especially for cold-adapted species as Arctic and alpine tundra habitats retract as the climate warms. We examined the influence of past and current landscapes on genomic connectivity in cold-adapted galliformes as a critical first step to assess the vulnerability of Alaska ptarmigan and grouse to environmental change. We hypothesize that the mosaic of physical features and habitat within Alaska promoted the formation of genetic structure across species.</p><h3 id=\"jbi14294-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Alaska, United States of America.</p><h3 id=\"jbi14294-sec-0003-title\" class=\"article-section__sub-title section1\">Taxa</h3><p>Ptarmigan and Grouse (Galliformes: Tetraoninae).</p><h3 id=\"jbi14294-sec-0004-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We collected double digest restriction-site-associated DNA sequence data from six ptarmigan and grouse species (<i>N</i>&nbsp;=&nbsp;13–145/species) sampled across multiple ecosystems up to ~10 degrees of latitude. Spatial genomic structure was analysed using methods that reflect different temporal scales: (1) principal components analysis to identify major trends in the distribution of genomic variation; (2) maximum likelihood clustering analyses to test for the presence of multiple genomic groupings; (3) shared co-ancestry analyses to assess contemporary relationships and (4) effective migration surfaces to identify regions that deviate from a null model of isolation by distance.</p><h3 id=\"jbi14294-sec-0005-title\" class=\"article-section__sub-title section1\">Results</h3><p>Levels of genomic structure varied across species (Φ<sub>ST</sub>&nbsp;=0.009–0.042). Three general patterns of structure emerged: (1) east-west partition located near the Yukon-Tanana uplands; (2) north-south split coinciding with the Alaska Range and (3) northern group near the Brooks Range. Species-specific patterns were observed; not all landscape features were barriers to gene flow for all ptarmigan and grouse and temporal contrasts were detected at the Brooks Range.</p><h3 id=\"jbi14294-sec-0006-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>Within Alaska galliformes, patterns of genomic structure coincide with physiographic features and highlight the importance of physical and ecological barriers in shaping how genomic diversity is arrayed across the landscape. Lack of concordance in spatial patterns indicates that species behaviour and habitat affinities play key roles in driving the contrasting patterns of genomic structure.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jbi.14294","usgsCitation":"Sonsthagen, S.A., Wilson, R.E., and Talbot, S.L., 2022, Species-specific responses to landscape features shaped genomic structure within Alaska galliformes: Journal of Biogeography, v. 49, no. 2, p. 261-273, https://doi.org/10.1111/jbi.14294.","productDescription":"13 p.","startPage":"261","endPage":"273","ipdsId":"IP-119634","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":449226,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.14294","text":"Publisher Index Page"},{"id":436007,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DDB01R","text":"USGS data release","linkHelpText":"Genomic Data from Ptarmigan and Grouse, Alaska"},{"id":394242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":830649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science 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,{"id":70227296,"text":"ofr20211030E - 2022 - System characterization report on Planet SkySat","interactions":[{"subject":{"id":70227296,"text":"ofr20211030E - 2022 - System characterization report on Planet SkySat","indexId":"ofr20211030E","publicationYear":"2022","noYear":false,"chapter":"E","displayTitle":"System Characterization Report on Planet SkySat","title":"System characterization report on Planet SkySat"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"lastModifiedDate":"2022-01-07T16:46:40.809608","indexId":"ofr20211030E","displayToPublicDate":"2022-01-07T11:15:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1030","chapter":"E","displayTitle":"System Characterization Report on Planet SkySat","title":"System characterization report on Planet SkySat","docAbstract":"<p>This report addresses system characterization of Planet’s SkySat and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.</p><p>SkySat is a constellation of submeter resolution Earth observation satellites providing analytics services, high-definition video, and imagery. The goal for the constellation is to capture multiple daily repeats of high-resolution imagery over any spot on the Earth. As of September 2020, 21 SkySat satellites have been launched, and the first launch occurred in November 2013. More information on Planet satellites and sensors is available in the “2020 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium” and from the manufacturer at <a href=\"https://www.planet.com/\" data-mce-href=\"https://www.planet.com/\">https://www.planet.com/</a>.</p><p>The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that SkySat has an interior geometric performance in the range of a 0.38- (0.47 pixel) to 0.75-meter (m; 0.93 pixel) root mean square error in easting and a 0.27- (0.33 pixel) to 0.55-m (0.68 pixel) root mean square error in northing, in band-to-band registration; an exterior geometric performance in the range of 0.26 (0.32 pixel) to 1.04 m (1.28 pixels) offset in comparison to ground control points; a radiometric performance in the range of 0.033 to 0.797 (linear regression); and a spatial performance in the range of 3.7 to 4.3 pixels at full width at half maximum, with a modulation transfer function at a Nyquist frequency in the range of 0.004 to 0.009.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"System characterization of Earth observation sensors","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030E","usgsCitation":"Kim, M., Park, S., Sampath, A., Anderson, C., and Stensaas, G.L., 2022, System characterization report on Planet SkySat, chap. E <em>of</em> Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 17 p., https://doi.org/10.3133/ofr20211030E.","productDescription":"iv, 17 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-126680","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":394021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/e/coverthb.jpg"},{"id":394022,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/e/ofr20211030e.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1030-E"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science (EROS) Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>System Description</li><li>Standardized Procedures</li><li>Measurements and Results Summary</li><li>Analysis</li><li>Summary and Conclusions</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-01-07","noUsgsAuthors":false,"publicationDate":"2022-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kim, Minsu 0000-0003-4472-0926 minsukim@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-4472-0926","contributorId":216429,"corporation":false,"usgs":true,"family":"Kim","given":"Minsu","email":"minsukim@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":830348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Park, Seonkyung 0000-0003-3203-1998","orcid":"https://orcid.org/0000-0003-3203-1998","contributorId":223182,"corporation":false,"usgs":true,"family":"Park","given":"Seonkyung","email":"","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":830349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sampath, Aparajithan 0000-0002-6922-4913 asampath@usgs.gov","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":3622,"corporation":false,"usgs":true,"family":"Sampath","given":"Aparajithan","email":"asampath@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":830350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":830351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stensaas, Gregory L. 0000-0001-6679-2416 stensaas@usgs.gov","orcid":"https://orcid.org/0000-0001-6679-2416","contributorId":2551,"corporation":false,"usgs":true,"family":"Stensaas","given":"Gregory","email":"stensaas@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":830352,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230242,"text":"70230242 - 2022 - Long-term ocean observing for international capacity development around tsunami early warning","interactions":[],"lastModifiedDate":"2022-04-05T14:43:38.626768","indexId":"70230242","displayToPublicDate":"2022-01-07T09:27:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Long-term ocean observing for international capacity development around tsunami early warning","docAbstract":"<p>The 2004 magnitude (M) 9.1 Sumatra-Andaman Islands earthquake in the Indian Ocean triggered the deadliest tsunami ever, killing more than 230,000 people. In response, the United Nations Educational, Scientific, and Cultural Organization (UNESCO) established three additional Intergovernmental Coordination Groups (ICGs) for the Tsunami and Other Coastal Hazards Early Warning System: for the Caribbean and Adjacent Regions (ICG/CARIBE-EWS), for the Indian Ocean, and for the Northeastern Atlantic, Mediterranean, and Connected Seas. Along with the ICG for the Pacific Ocean, which was established in 1965, one of the goals of the new ICGs was to improve earthquake and tsunami monitoring and early warning. This need was further demonstrated by the 2011 Great East Japan (Tōhoku-oki) earthquake and tsunami, which killed more than 20,000 people, and other destructive tsunamis that occurred in the Solomon Islands, Samoa, Tonga, Chile, Indonesia, and Peru.</p><p>In response to the call to action by the UN Decade of Ocean Science for Sustainable Development (2021–2030), as well as the desired safe ocean outcome (von Hillebrandt-Andrade et al., 2021), the Intergovernmental Oceanographic Commission (IOC) of UNESCO approved the Ocean Decade Tsunami Programme in June 2021. One of its goals is to develop the capability to issue actionable alerts for tsunamis from all sources with minimum uncertainty within 10 minutes (Angove et&nbsp;al., 2019). While laudable, this goal presents complexities. Currently, warning depends on quick detection as well as the location and initial magnitude estimates of an earthquake that may generate a tsunami. Other factors that affect tsunamis, such as the faulting mechanism (how the faults slide past each other) and areal extent of the earthquake, currently take at least 20–30 minutes to forecast and are still subject to large uncertainties. Hence, agencies charged with tsunami early warning need to broadcast public alerts within minutes after an earthquake occurs but may struggle to meet this 10-minute goal without further technological advances, some of which are outlined in this article.</p><p>To reduce loss of life through adequate tsunami warning requires global ocean-based seismic, sea level, and geodetic initiatives to detect high-impact earthquakes and tsunamis, combined with sufficient communication and education so that people know how to respond when they receive alerts and warnings. The United Nations International Strategy for Disaster Reduction defines an early warning system as “a set of capacities needed to generate and disseminate timely and meaningful warning information to enable individuals, communities, and organizations threatened by a hazard to prepare and to act appropriately and in sufficient time to reduce the possibility of harm or loss” (UNISDR, 2012). In short, a successful early warning system requires technology coupled with human factors (Kelman and Glantz, 2014).</p><p>In this article, we explore case studies from Japan and Canada, where scientists are leading the way in incorporating ocean observing capabilities in their early warning systems. We also explore advancements and challenges in the Caribbean, an area with a complex tectonic environment that would benefit greatly from increased global ocean observing capabilities. We also explore physical and social science interventions necessary to reduce loss of life.</p>","language":"English","publisher":"The Oceanography Society","doi":"10.5670/oceanog.2021.supplement.02-27","usgsCitation":"Sumy, D.F., McBride, S., von Hillebrandt-Andrade, C., Kohler, M.D., Orcutt, J., Kodaira, S., Moran, K., McNamara, D., Hori, T., Vanacore, E., Pirenne, B., and Collins, J., 2022, Long-term ocean observing for international capacity development around tsunami early warning: Oceanography, v. 34, no. 4, p. 70-77, https://doi.org/10.5670/oceanog.2021.supplement.02-27.","productDescription":"8 p.","startPage":"70","endPage":"77","ipdsId":"IP-135818","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":449228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2021.supplement.02-27","text":"Publisher Index 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jcollins@whoi.edu","contributorId":177449,"corporation":false,"usgs":false,"family":"Collins","given":"John A.","email":"jcollins@whoi.edu","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":839640,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70227471,"text":"70227471 - 2022 - Analytical assessments in support of the U.S. Fish and Wildlife Service 3-bat species status assessment","interactions":[],"lastModifiedDate":"2022-01-19T13:28:43.787648","indexId":"70227471","displayToPublicDate":"2022-01-07T07:25:46","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Analytical assessments in support of the U.S. Fish and Wildlife Service 3-bat species status assessment","docAbstract":"<p><span>Beginning in February of 2020, researchers and staff of the United States Geological Survey (USGS), Bat Conservation International (BCI), Virginia Polytechnic Institute and State University, and Montana State University associated with the North American Bat Monitoring Program (NABat) collaborated with the United States Fish and Wildlife Service (USFWS) to provide technical assistance in support of the USFWS Three Bat Species Status Assessments (SSA) including the little brown bat (MYLU, Myotis lucifugus), northern long-eared bat (MYSE, Myotis septentrionalis), and tricolored bat (PESU, Perimyotis subflavus). Analytical support for the SSA was not intended to provide interpretive results, which should therefore be considered beyond the scope of this report. Technical assistance for the SSA included facilitating the USFWS data call by educating and working directly with data contributors to manage, submit, and archive a variety of bat monitoring data in the online NABat database1 using standardized data submission templates accessible through the upload features on the NABat website. Most data collected through the USFWS data call for the SSA were submitted and stored in the NABat database. These represent the efforts of hundreds of partnering organizations across more than 200 individual NABat Partner Portal Projects. A few organizations contributed data for use in these analyses that were not submitted to the NABat database. Records submitted in response to the USFWS data call included bat capture, stationary and mobile acoustic, and internal roost count data (winter and summer). Data collated in the NABat database and used for the analyses described herein are documented (NABat 2020a, NABat 2020b, NABat 2021) and available through the NABat third party request feature.</span><br></p>","language":"English","publisher":"U.S. Fish and Wildlife","doi":"10.7944/P9B4RWEU","usgsCitation":"2022, Analytical assessments in support of the U.S. Fish and Wildlife Service 3-bat species status assessment, iv, 272 p., https://doi.org/10.7944/P9B4RWEU.","productDescription":"iv, 272 p.","ipdsId":"IP-135871","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":436011,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YG45TG","text":"USGS data release","linkHelpText":"In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Winter Colony Count Analysis"},{"id":436010,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W9OZU0","text":"USGS data release","linkHelpText":"In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Summer Mobile Acoustic Transect Analysis"},{"id":436009,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97XVX22","text":"USGS data release","linkHelpText":"In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Predicted Wind Take Allocated To Hibernacula Each Year Under Current and Future Scenarios"},{"id":436008,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V5H833","text":"USGS data release","linkHelpText":"In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Wind Energy Influence"},{"id":394511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Straw, Bethany R. 0000-0001-9086-4600","orcid":"https://orcid.org/0000-0001-9086-4600","contributorId":271020,"corporation":false,"usgs":true,"family":"Straw","given":"Bethany","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":831064,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Martin, Jaclyn 0000-0001-7156-6448","orcid":"https://orcid.org/0000-0001-7156-6448","contributorId":271172,"corporation":false,"usgs":true,"family":"Martin","given":"Jaclyn","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":831147,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Reichard, Jonathan D.","contributorId":138946,"corporation":false,"usgs":false,"family":"Reichard","given":"Jonathan D.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":831074,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":831148,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}}
,{"id":70227484,"text":"70227484 - 2022 - Dynamic Rupture TAG – The 2021 Ingredients Workshop – Stress Conditions (SCEC Project 21127)","interactions":[],"lastModifiedDate":"2022-01-19T13:23:36.273283","indexId":"70227484","displayToPublicDate":"2022-01-07T07:22:51","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Dynamic Rupture TAG – The 2021 Ingredients Workshop – Stress Conditions (SCEC Project 21127)","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"SCEC","usgsCitation":"Harris, R.A., and Barall, M., 2022, Dynamic Rupture TAG – The 2021 Ingredients Workshop – Stress Conditions (SCEC Project 21127), 11 p.","productDescription":"11 p.","ipdsId":"IP-136605","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":394510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394499,"type":{"id":15,"text":"Index Page"},"url":"https://files.scec.org/s3fs-public/reports/2021/21127_report.pdf?d3yII_9DzEeYKFu.q0KWviwaTJ70Ait0"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":831145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":831146,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227460,"text":"70227460 - 2022 - gTOOLS, an open-source MATLAB program for processing high precision, relative gravity data for time-lapse gravity monitoring","interactions":[],"lastModifiedDate":"2022-01-18T13:22:54.043797","indexId":"70227460","displayToPublicDate":"2022-01-07T07:18:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"gTOOLS, an open-source MATLAB program for processing high precision, relative gravity data for time-lapse gravity monitoring","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>gTOOLS is an open-source software for the processing of relative gravity data. gTOOLS is available in MATLAB and as a compiled executable to be run under the free MATLAB Runtime Compiler. The software has been designed for time-lapse (temporal) gravity monitoring. Although programmed to read the Scintrex CG-5 and CG-6&nbsp;gravimeters&nbsp;output data files, it can be easily modified to read data files from other gravimeters. The software binds together single-task processing modules within a very simple&nbsp;</span>user interface<span>&nbsp;</span>that is based on one text file. Gravity processing involves three modules: (a) gravimeter calibration; (b) automatic processing of gravity data to find adjusted gravity differences; and (c) post processing of results. Each module is optional and runs independently from the others. Data processing includes (a) averaging out the measurements noise, and correction for solid Earth tides, and ocean loading, and residual instrumental drift, and (b) calculate the residual instrumental drift and gravity differences between the base station and monitoring sites, and their uncertainties, by a weighted least square analysis of the gravity data. The software allows the automatic processing of a gravity campaign spanning multiple days in a single run. The software is tested on gravity data from 2015 eruption at Cotopaxi volcano, Ecuador.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2021.105028","usgsCitation":"Battaglia, M., Calahorrano-Di Patre, A., and Flinders, A.F., 2022, gTOOLS, an open-source MATLAB program for processing high precision, relative gravity data for time-lapse gravity monitoring: Computers & Geosciences, v. 160, 105028, 11 p., https://doi.org/10.1016/j.cageo.2021.105028.","productDescription":"105028, 11 p.","ipdsId":"IP-128961","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":449232,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2021.105028","text":"Publisher Index Page"},{"id":394450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"160","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Battaglia, Maurizio 0000-0003-4726-5287 mbattaglia@usgs.gov","orcid":"https://orcid.org/0000-0003-4726-5287","contributorId":204742,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":831029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calahorrano-Di Patre, Antonina","contributorId":224661,"corporation":false,"usgs":false,"family":"Calahorrano-Di Patre","given":"Antonina","email":"","affiliations":[{"id":40906,"text":"Simon Fraser University, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":831035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flinders, Ashton F. 0000-0003-2483-4635","orcid":"https://orcid.org/0000-0003-2483-4635","contributorId":271052,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton","email":"","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":831036,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227323,"text":"70227323 - 2022 - Climate and land change impacts on future managed wetland habitat: A case study from California’s Central Valley","interactions":[],"lastModifiedDate":"2022-03-15T16:48:45.543671","indexId":"70227323","displayToPublicDate":"2022-01-07T07:12:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climate and land change impacts on future managed wetland habitat: A case study from California’s Central Valley","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Concept</h3><p>California’s Central Valley provides critical habitat for migratory waterbirds, yet only 10% of naturally occurring wetlands remain. Competition for limited water supplies and climate change will impact the long-term viability of these intensively managed habitats.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Objectives</h3><p>Forecast the distribution, abundance, and connectivity of surface water and managed wetland habitats, using 5 spatially explicit (270 m<sup>2</sup>) climate/land use/water prioritization scenarios. Mapping potential future dynamic flooded habitat used by waterbirds and other wetland-dependent wildlife to inform management decisions.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We integrated a climate-driven hydrologic water use model with a spatially explicit land change model, to examine stakeholder-driven scenarios of future land change, climate, and water use and their impacts on future habitat availability.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Declining water availability is the dominant driver of habitat loss across scenarios. The hot/dry scenarios showed the greatest declines in January flooded area by 2101—an important month for overwintering waterbirds. In contrast, higher water supplies in wet climates drive perennial cropland conversion and loss of potential habitat. Potential flooded cropland declined (25 and 33%) under warmer/wetter climate conditions due to this conversion to perennial crops, exposing habitat vulnerability.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusion</h3><p>Climate-driven loss of water availability had a greater impact on flooded habitat availability than land-use change. When combined, climate change and the conversion of potentially flooded cropland to perennial cropland will threaten future waterbird habitat particularly in January, the peak of the migratory bird season, even when habitat restoration goals are met. Stakeholder-informed scenario analysis can identify target areas for potential habitat change, vulnerability, and conservation.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-021-01398-1","usgsCitation":"Wilson, T., Matchett, E., Byrd, K.B., Conlisk, E., Reiter, M.E., Wallace, C., Flint, L.E., Flint, A.L., and Moritsch, M.M., 2022, Climate and land change impacts on future managed wetland habitat: A case study from California’s Central Valley: Landscape Ecology, v. 37, p. 861-881, https://doi.org/10.1007/s10980-021-01398-1.","productDescription":"21 p.","startPage":"861","endPage":"881","ipdsId":"IP-127595","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":394093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.29980468749999,\n              40.111688665595956\n            ],\n            [\n              -122.78320312499999,\n              39.9434364619742\n            ],\n            [\n              -122.607421875,\n              39.13006024213511\n            ],\n            [\n              -122.34374999999999,\n              38.20365531807149\n            ],\n            [\n              -121.59667968749999,\n              37.125286284966805\n            ],\n            [\n              -120.41015624999999,\n              35.92464453144099\n            ],\n            [\n              -118.95996093749999,\n              34.92197103616377\n            ],\n  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tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":830455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":830456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":830457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conlisk, Erin","contributorId":270185,"corporation":false,"usgs":false,"family":"Conlisk","given":"Erin","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":830458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reiter, Matthew E. 0000-0002-0587-786X","orcid":"https://orcid.org/0000-0002-0587-786X","contributorId":271031,"corporation":false,"usgs":false,"family":"Reiter","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":56258,"text":"Point Blue","active":true,"usgs":false}],"preferred":false,"id":830459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallace, Cynthia 0000-0003-0001-8828 cwallace@usgs.gov","orcid":"https://orcid.org/0000-0003-0001-8828","contributorId":149179,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia","email":"cwallace@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":830460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830461,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":830462,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moritsch, Monica Mei Jeen 0000-0002-3890-1264","orcid":"https://orcid.org/0000-0002-3890-1264","contributorId":225210,"corporation":false,"usgs":true,"family":"Moritsch","given":"Monica","email":"","middleInitial":"Mei Jeen","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":830463,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70227381,"text":"70227381 - 2022 - Stoneflies in the genus Lednia (Plecoptera: Nemouridae): Sentinels of climate change impacts on mountain stream biodiversity","interactions":[],"lastModifiedDate":"2022-04-26T12:00:22.972891","indexId":"70227381","displayToPublicDate":"2022-01-07T06:39:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Stoneflies in the genus Lednia (Plecoptera: Nemouridae): Sentinels of climate change impacts on mountain stream biodiversity","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Rapid recession of glaciers and snowfields is threatening the habitats of cold-water biodiversity worldwide. In many ice-sourced headwaters of western North America, stoneflies in the genus<span>&nbsp;</span><i>Lednia</i><span>&nbsp;</span>(Plecoptera: Nemouridae) are a prominent member of the invertebrate community. With a broad distribution in mountain streams and close ties to declining glacier cover,<span>&nbsp;</span><i>Lednia</i><span>&nbsp;</span>has emerged as a sentinel of climate change threats to high-elevation aquatic biodiversity.<span>&nbsp;</span><i>Lednia tumana</i>, which is endemic to Glacier National Park, USA and the surrounding mountains, is the most well-studied species in the genus and in 2019 became federally protected under the U.S. Endangered Species Act (ESA) due to climate-induced loss of meltwater habitats. Three other<span>&nbsp;</span><i>Lednia</i><span>&nbsp;</span>species have also been described, and like<span>&nbsp;</span><i>L. tumana</i>, each is endemic to a mountain region of western North America:<span>&nbsp;</span><i>Lednia sierra</i><span>&nbsp;</span>in the Sierra Nevada,<span>&nbsp;</span><i>Lednia borealis</i><span>&nbsp;</span>in the Cascade Range, and<span>&nbsp;</span><i>Lednia tetonica</i><span>&nbsp;</span>in the Teton Range. In this review, we provide a comprehensive overview of<span>&nbsp;</span><i>Lednia</i><span>&nbsp;</span>ecology, genetics, and physiology, with an emphasis on the conservation outlook for the group and species with similar headwater distributions. We highlight substantial progress made in the last decade to better understand the ecology and evolution of<span>&nbsp;</span><i>Lednia</i>, including the identification of 140<span>&nbsp;</span><i>Lednia-</i>containing streams (an increase from 12 streams in 2010), and a more complete understanding of the degree to which warming streams may imperil species in the genus. In light of the ESA listing of<span>&nbsp;</span><i>L. tumana</i>, we show that similar conservation threats likely face all extant<span>&nbsp;</span><i>Lednia</i><span>&nbsp;</span>species. However, substantial gaps in our knowledge remain, primarily centering around their distributions (and the potential for as yet undescribed species), life history, ecophysiology, and trophic ecology. We conclude by describing pressing questions for<span>&nbsp;</span><i>Lednia</i><span>&nbsp;</span>that when addressed will expand knowledge of the genus and its conservation as well as broader understanding of climate risks to mountain stream biodiversity worldwide.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10531-021-02344-y","usgsCitation":"Green, M.D., Tronstad, L., Giersch, J.J., Shah, A.A., Fallon, C.E., Blevins, E., Kai, T., Muhlfeld, C.C., Finn, D.S., and Hotaling, S., 2022, Stoneflies in the genus Lednia (Plecoptera: Nemouridae): Sentinels of climate change impacts on mountain stream biodiversity: Biodiversity and Conservation, v. 31, p. 353-377, https://doi.org/10.1007/s10531-021-02344-y.","productDescription":"25 p.","startPage":"353","endPage":"377","ipdsId":"IP-130086","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science 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Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":198074,"corporation":false,"usgs":true,"family":"Giersch","given":"J.","email":"jgiersch@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":830690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shah, Alisha A. 0000-0002-8454-7905","orcid":"https://orcid.org/0000-0002-8454-7905","contributorId":271069,"corporation":false,"usgs":false,"family":"Shah","given":"Alisha","email":"","middleInitial":"A.","affiliations":[{"id":56265,"text":"Division of Biological Sciences, University of Montana, Missoula, MT, USA","active":true,"usgs":false}],"preferred":false,"id":830691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fallon, Candace E. 0000-0002-6100-6436","orcid":"https://orcid.org/0000-0002-6100-6436","contributorId":271070,"corporation":false,"usgs":false,"family":"Fallon","given":"Candace","email":"","middleInitial":"E.","affiliations":[{"id":56266,"text":"The Xerces Society for Invertebrate Conservation, Portland, OR, USA","active":true,"usgs":false}],"preferred":false,"id":830692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blevins, Emilie","contributorId":211792,"corporation":false,"usgs":false,"family":"Blevins","given":"Emilie","email":"","affiliations":[{"id":38320,"text":"Xerxes Society, OR","active":true,"usgs":false}],"preferred":false,"id":830693,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kai, Taylor","contributorId":271071,"corporation":false,"usgs":false,"family":"Kai","given":"Taylor","email":"","affiliations":[{"id":56267,"text":"College of Medicine, University of Kentucky, Lexington, KY, USA","active":true,"usgs":false}],"preferred":false,"id":830694,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":830695,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finn, Debra S.","contributorId":198312,"corporation":false,"usgs":false,"family":"Finn","given":"Debra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":830696,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hotaling, Scott 0000-0002-5965-0986","orcid":"https://orcid.org/0000-0002-5965-0986","contributorId":176860,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","email":"","affiliations":[],"preferred":false,"id":830697,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70228524,"text":"70228524 - 2022 - Examination of the interaction between age-specific predation and chronic disease in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2022-07-07T16:38:12.50761","indexId":"70228524","displayToPublicDate":"2022-01-07T06:37:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Examination of the interaction between age-specific predation and chronic disease in the Greater Yellowstone Ecosystem","docAbstract":"<ol class=\"\"><li>Predators may create healthier prey populations by selectively removing diseased individuals. Predators typically prefer some ages of prey over others, which may, or may not, align with those prey ages that are most likely to be diseased.</li><li>The interaction of age-specific infection and predation has not been previously explored and likely has sizable effects on disease dynamics. We hypothesize that predator cleansing effects will be greater when the disease and predation occur in the same prey age groups.</li><li>We examine the predator cleansing effect using a model where both vulnerability to predators and pathogen prevalence vary with age. We tailor this model to chronic wasting disease (CWD) in mule deer and elk populations in the Greater Yellowstone Ecosystem, with empirical data from Yellowstone grey wolves and cougars.</li><li>Model results suggest that under moderate, yet realistic, predation pressure from cougars and wolves independently, predators may decrease CWD outbreak size substantially and delay the accumulation of symptomatic deer and elk. The magnitude of this effect is driven by the ability of predators to selectively remove late-stage CWD infections that are likely the most responsible for transmission, but this may not be the age class they typically select. Thus, predators that select for infected young adults over uninfected juveniles have a stronger cleansing effect, and these effects are strengthened when transmission rates increase with increasing prey morbidity. There are also trade-offs from a management perspective—that is, increasing predator kill rates can result in opposing forces on prey abundance and CWD prevalence.</li><li>Our modelling exploration shows that predators have the potential to reduce prevalence in prey populations when prey age and disease severity are considered, yet the strength of this effect is influenced by predators' selection for demography or body condition. Current CWD management focuses on increasing cervid hunting as the primary management tool, and our results suggest predators may also be a useful tool under certain conditions, but not necessarily without additional impacts on host abundance and demography. Protected areas with predator populations will play a large role in informing the debate over predator impacts on disease.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2656.13661","usgsCitation":"Brandell, E.E., Cross, P., Smith, D., Rogers, W.J., Galloway, N.L., MacNulty, D., Stahler, D.R., Treanor, J.J., and Hudson, P., 2022, Examination of the interaction between age-specific predation and chronic disease in the Greater Yellowstone Ecosystem: Journal of Animal Ecology, v. 91, no. 7, p. 1373-1384, https://doi.org/10.1111/1365-2656.13661.","productDescription":"12 p.","startPage":"1373","endPage":"1384","ipdsId":"IP-127787","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":449236,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13661","text":"Publisher Index Page"},{"id":436012,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93XICBO","text":"USGS data release","linkHelpText":"CWDsims version v0.2.2"},{"id":395837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.29150390625,\n              42.56926437219384\n            ],\n            [\n              -107.75390625,\n              42.56926437219384\n            ],\n            [\n              -107.75390625,\n              45.120052841530544\n            ],\n            [\n              -111.29150390625,\n              45.120052841530544\n            ],\n            [\n              -111.29150390625,\n              42.56926437219384\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Brandell, Ellen E.","contributorId":253140,"corporation":false,"usgs":false,"family":"Brandell","given":"Ellen","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":834503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":834504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Douglas W.","contributorId":179181,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas W.","affiliations":[],"preferred":false,"id":834505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogers, William J.","contributorId":173588,"corporation":false,"usgs":false,"family":"Rogers","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":834506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galloway, Nathan L.","contributorId":276042,"corporation":false,"usgs":false,"family":"Galloway","given":"Nathan","email":"","middleInitial":"L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":834507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"MacNulty, Daniel R.","contributorId":179179,"corporation":false,"usgs":false,"family":"MacNulty","given":"Daniel R.","affiliations":[],"preferred":false,"id":834508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stahler, Daniel R.","contributorId":179180,"corporation":false,"usgs":false,"family":"Stahler","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":834509,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Treanor, John J.","contributorId":169528,"corporation":false,"usgs":false,"family":"Treanor","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":834510,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hudson, Peter J.","contributorId":253146,"corporation":false,"usgs":false,"family":"Hudson","given":"Peter J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":834511,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227273,"text":"tm2A18 - 2022 - Protocol for installing and monitoring a RestoreNet restoration field trial network site","interactions":[],"lastModifiedDate":"2022-01-10T15:34:14.059259","indexId":"tm2A18","displayToPublicDate":"2022-01-06T12:21:49","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-A18","displayTitle":"Protocol for Installing and Monitoring a RestoreNet Restoration Field Trial Network Site","title":"Protocol for installing and monitoring a RestoreNet restoration field trial network site","docAbstract":"<p>RestoreNet is an ecological restoration experiment that is networked across multiple sites, spanning dryland ecosystems in the southwestern United States. The experiment is organized and led by the U.S. Geological Survey’s Restoration Assessment and Monitoring Program for the Southwest (RAMPS). This protocol functions to provide guidance to additional partners on how to set up a RestoreNet site and expand the network to new locations. This protocol contains information for site selection, materials acquisition, experiment installation, data collection and monitoring, and data curation. Information includes protocols for the RestoreNet seeded experiment and an additional optional experiment using installed container seedlings initially propagated in a greenhouse. Participation in RestoreNet contributes to a growing body of knowledge on cutting edge ecological restoration methods for use in the southwestern United States to benefit land managers, landowners, and restoration practitioners.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2A18","collaboration":"Prepared in cooperation with Northern Arizona University","usgsCitation":"Laushman, K.M., McCormick, M.L., Munson, S.M., Balazs, K.R., and Butterfield, B.J., 2021, Protocol for installing and monitoring a RestoreNet restoration field trial network site: U.S. Geological Survey Techniques and Methods, book 2, chap. A18, 34 p., https://doi.org/10.3133/tm2A18.","productDescription":"vii, 34 p.","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-124290","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":393961,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/a18/covrthb.jpg"},{"id":393962,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/a18/tm2a18.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Texas, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.83984375,\n              32.84267363195431\n            ],\n            [\n              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      ]\n        ]\n      }\n    }\n  ]\n}","contact":"<div class=\"street-block\"><div class=\"thoroughfare\"><a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a></div><div class=\"thoroughfare\"><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a></div><div class=\"thoroughfare\">2255 N. Gemini Drive</div></div><div class=\"addressfield-container-inline locality-block country-US\"><span class=\"locality\">Flagstaff</span>,&nbsp;<span class=\"state\">AZ</span>&nbsp;<span class=\"postal-code\">86001</span></div>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Site Design&nbsp;&nbsp;</li><li>Monitoring Protocol&nbsp;&nbsp;</li><li>Data Curation&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>Selected References&nbsp;&nbsp;</li><li>Appendix 1&nbsp;&nbsp;</li><li>Appendix 2&nbsp;&nbsp;</li><li>Appendix 3&nbsp;&nbsp;</li><li>Appendix 4&nbsp;&nbsp;</li><li>Appendix 5&nbsp;&nbsp;</li><li>Appendix 6&nbsp;&nbsp;</li><li>Appendix 7&nbsp;&nbsp;</li><li>Appendix 8&nbsp;&nbsp;</li><li>Appendix 9&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-01-06","noUsgsAuthors":false,"publicationDate":"2022-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Laushman, Katherine M. 0000-0002-4333-6386","orcid":"https://orcid.org/0000-0002-4333-6386","contributorId":229512,"corporation":false,"usgs":true,"family":"Laushman","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Molly L. 0000-0002-4361-7567 mmccormick@usgs.gov","orcid":"https://orcid.org/0000-0002-4361-7567","contributorId":196257,"corporation":false,"usgs":true,"family":"McCormick","given":"Molly","email":"mmccormick@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":830243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balazs, Kathleen R.","contributorId":223214,"corporation":false,"usgs":false,"family":"Balazs","given":"Kathleen","email":"","middleInitial":"R.","affiliations":[{"id":24810,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":830244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butterfield, Bradley J.","contributorId":18096,"corporation":false,"usgs":true,"family":"Butterfield","given":"Bradley J.","affiliations":[],"preferred":false,"id":830245,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228939,"text":"70228939 - 2022 - The relative importance of mercury methylation and demethylation in rice paddy soil varies depending on the presence of rice plants","interactions":[],"lastModifiedDate":"2022-02-24T16:12:06.534218","indexId":"70228939","displayToPublicDate":"2022-01-06T10:04:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"The relative importance of mercury methylation and demethylation in rice paddy soil varies depending on the presence of rice plants","docAbstract":"<p><span>Neurotoxic methylmercury (MeHg) accumulates in rice grain from paddy soil, where its concentration is controlled by microbial mercury methylation and demethylation. Both up- and down-regulation of methylation is known to occur in the presence of rice plants in comparison to non-vegetated paddy soils; the influence of rice plant presence/absence on demethylation is unknown. To assess the concurrent influence of rice plant presence/absence on methylation and demethylation, and to determine which process was more dominant in controlling soil MeHg concentrations, we maintained six rhizoboxes of paddy soil with and without rice plants. At the peak of plant growth, we simultaneously measured ambient MeHg, ambient inorganic mercury (IHg), and potential rate constants of methylation and demethylation (K</span><sub>meth</sub><span>&nbsp;and K</span><sub>demeth</sub><span>) in soil using stable isotope tracers and ID-GC-ICPMS. We also measured organic matter content, elemental S, and water-extractable sulfate. We found MeHg concentrations were differentially controlled by MeHg production and degradation processes, depending on whether plants were present. In non-vegetated boxes, MeHg concentration was controlled by K</span><sub>meth</sub><span>, as evidenced by a strong and positive correlation, while K</span><sub>demeth</sub><span>&nbsp;had no relation to MeHg concentration. These results indicate methylation was the dominant driver of MeHg concentration in non-vegetated soil. In vegetated boxes, K</span><sub>demeth</sub><span>&nbsp;strongly and negatively predicted MeHg concentration, indicating that demethylation was the dominant control in soil with plants. MeHg concentration, K</span><sub>meth</sub><span>, and % MeHg all had significantly less variance in vegetated than in non-vegetated soils due to a consistent elimination of greater values. This pattern suggests that reduced MeHg production capacity was a secondary control on MeHg concentrations in vegetated soils. We observed no difference in the magnitude or variance of K</span><sub>demeth</sub><span>&nbsp;between treatments, suggesting that demethylation was robust to soil chemical conditions influenced by the plant, perhaps because of a wider taxonomic diversity of demethylators. Our results suggest that methylation and demethylation processes could both be leveraged to alter MeHg concentrations in rice paddy soil.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2021.113143","usgsCitation":"Strickman, R.J., Larson, S.M., Huang, H., Kakouros, E., Marvin-DiPasquale, M.C., Mitchell, C.P., and Neumann, R.B., 2022, The relative importance of mercury methylation and demethylation in rice paddy soil varies depending on the presence of rice plants: Ecotoxicology and Environmental Safety, v. 230, 113143, 10 p., https://doi.org/10.1016/j.ecoenv.2021.113143.","productDescription":"113143, 10 p.","ipdsId":"IP-130664","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":449239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2021.113143","text":"Publisher Index Page"},{"id":396427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"230","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Strickman, R. J.","contributorId":280064,"corporation":false,"usgs":false,"family":"Strickman","given":"R.","email":"","middleInitial":"J.","affiliations":[{"id":27967,"text":"University of Washington, Seattle WA","active":true,"usgs":false}],"preferred":false,"id":835974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, S. M.","contributorId":36309,"corporation":false,"usgs":false,"family":"Larson","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, H.","contributorId":280065,"corporation":false,"usgs":false,"family":"Huang","given":"H.","affiliations":[{"id":57416,"text":"University of Toronto Scarborough, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":835976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":835977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":835978,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchell, C. P. J.","contributorId":280066,"corporation":false,"usgs":false,"family":"Mitchell","given":"C.","email":"","middleInitial":"P. J.","affiliations":[{"id":57416,"text":"University of Toronto Scarborough, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":835979,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neumann, R. B.","contributorId":280067,"corporation":false,"usgs":false,"family":"Neumann","given":"R.","email":"","middleInitial":"B.","affiliations":[{"id":27967,"text":"University of Washington, Seattle WA","active":true,"usgs":false}],"preferred":false,"id":835980,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70227283,"text":"70227283 - 2022 - Complete genome sequence of Rhodococcus opacus strain MoAcy1 (DSM 44186), an aerobic acetylenotroph isolated from soil","interactions":[],"lastModifiedDate":"2022-01-07T17:04:43.905159","indexId":"70227283","displayToPublicDate":"2022-01-06T08:27:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5813,"text":"Microbiology Resource Announcements","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Complete genome sequence of <i>Rhodococcus opacus</i> strain MoAcy1 (DSM 44186), an aerobic acetylenotroph isolated from soil","title":"Complete genome sequence of Rhodococcus opacus strain MoAcy1 (DSM 44186), an aerobic acetylenotroph isolated from soil","docAbstract":"<p><span>We report the genome of&nbsp;</span><span class=\"named-content\" data-type=\"genus-species\">Rhodococcus opacus</span><span>&nbsp;strain MoAcy1 (</span>DSM 44186<span>), an aerobic soil isolate capable of using acetylene as its primary carbon and energy source (acetylenotrophy). The genome is composed of a single circular chromosome of ∼8 Mbp and two closed plasmids, with a G+C content of 67.3%.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/MRA.00814-21","usgsCitation":"Sutton, J.M., Bushman, T., Akob, D., and Fierst, J.L., 2022, Complete genome sequence of Rhodococcus opacus strain MoAcy1 (DSM 44186), an aerobic acetylenotroph isolated from soil: Microbiology Resource Announcements, v. 11, no. 1, E00814-21, 2 p., https://doi.org/10.1128/MRA.00814-21.","productDescription":"E00814-21, 2 p.","ipdsId":"IP-132416","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":449242,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/mra.00814-21","text":"Publisher Index Page"},{"id":394016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sutton, John M.","contributorId":179294,"corporation":false,"usgs":false,"family":"Sutton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":830266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bushman, Timothy J.","contributorId":270976,"corporation":false,"usgs":false,"family":"Bushman","given":"Timothy J.","affiliations":[{"id":56236,"text":"Department of Biological Sciences, The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":830267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":830268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fierst, Janna L.","contributorId":179295,"corporation":false,"usgs":false,"family":"Fierst","given":"Janna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":830269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}