{"pageNumber":"491","pageRowStart":"12250","pageSize":"25","recordCount":184582,"records":[{"id":70229039,"text":"70229039 - 2021 - Coffee plantations, hurricanes and avian resiliency: Insights from occupancy, and local colonization and extinction rates in Puerto Rico","interactions":[],"lastModifiedDate":"2022-03-01T12:17:19.293477","indexId":"70229039","displayToPublicDate":"2021-06-01T10:31:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Coffee plantations, hurricanes and avian resiliency: Insights from occupancy, and local colonization and extinction rates in Puerto Rico","docAbstract":"Insights on impacts and resiliency of avian species with respect to hurricanes in the Caribbean have largely focused on responses measured in protected habitats. We assessed avian responses in non-protected habitat, specifically shade-restored coffee plantations, because their structural complexity retains many attributes of secondary forests, and may contribute to landscape scale species resiliency. We tallied species richness, and estimated occupancy probability of 12 resident avian species, after adjusting for imperfect detection, to assess the impact of hurricane Maria (20 September 2017) in the context of two stages of shade-restored coffee plantations. For 5 of those species, we also estimated local colonization and extinction probabilities to assess their prospect of rebounding (resiliency). We used survey data collected March-June 2015-2017 (pre-hurricane) and 2018 (post-hurricane) in 58 coffee farms and satellite imagery to assess vegetation structure. Restored farms were grouped into two categories based on time-since-restoration: newly-restored and fully-restored. 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Rebounding for frugivores like the Puerto Rican Bullfinch would be protracted given that colonization rates dropped from 0.56 0.12 (pre-hurricane) to 0.04 0.2 (post-hurricane), regardless of restoration stage. Our work showed that the avian community associated with restored coffee farms exhibited as high degree of ecological resistance as the similarity in species composition before and after the hurricane was 81%, and all 12 focal species continued to occupy farms under both restoration stages. The prospect of the focal species to rebound (resiliency) was specific-specific, and in some cases, mediated by their affinity to a particular farm restoration stage. The strength of hurricanes is projected to intensify with global warming. 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While researchers have pondered the possibility of extraterrestrial caves for more than 50 years, we have now entered the incipient phase of planetary caves exploration. Our knowledge of planetary caves varies from body to body. Earth represents the most advanced level of exploration, but many unanswered questions remain. Beyond Earth, identification of possible caves is most advanced for the Moon and Mars , with hundreds of documented candidate cave entrances and several proposed cave mission concepts.  To date, the community has catalogued 2,660 SAPs on eight planetary bodies (excluding Earth) across our Solar System. Planetary caves science has the potential to significantly expand over the next decade. A potential roadmap for planetary cave research and exploration is discussed. 

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PIT tags are often used in fisheries to study movement patterns, survival, or estimate population size. However, PIT tags are limited by their short detection distance. Mobile PIT antennas may increase the utility of PIT tags in fisheries. In this study, we synthesize the current detection efficiency literature on mobile PIT antennas, determine factors influencing PIT-tag detection probability and efficiency for a raft-mounted mobile antenna, and summarize techniques used to increase observations of PIT-tagged fishes with raft-mounted mobile antennas in a wadable stream. Our literature review indicated tag size and orientation were the most-important factors affecting detection probabilities; however, our antenna was primarily influenced by water depth of the tag and distance from the antenna. Detection efficiency was influenced by discharge, turbidity, and sample date. Tracking methods that include targeting key habitats (e.g., rootwads) and using natural features to congregated tagged fishes (e.g., riffles or pinch points) may increase detection efficiency in wadable streams. This is the first formal review of factors affecting mobile PIT antenna detection efficiency. The published literature, combined with our study results, indicate several factors need to be considered prior to mobile PIT antenna tracking.","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10578","usgsCitation":"Zentner, D., Wolf, S., Brewer, S.K., and Shoup, D.E., 2021, A review of factors affecting PIT tag detection using mobile arrays and use of mobile antennas to detect PIT-tagged suckers in a wadeable Ozark stream: North American Journal of Fisheries Management, v. 41, no. 3, p. 697-710, https://doi.org/10.1002/nafm.10578.","productDescription":"14 p.","startPage":"697","endPage":"710","ipdsId":"IP-119648","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498905,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10578","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":836057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":836058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shoup, Daniel E.","contributorId":141325,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":836059,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237100,"text":"70237100 - 2021 - A framework for evaluating earthquake early warning for an infrastructure network: An idealized case study of a northern California rail system","interactions":[],"lastModifiedDate":"2022-09-29T14:14:36.220516","indexId":"70237100","displayToPublicDate":"2021-06-01T09:08:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9121,"text":"Frontiers Earth Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"A framework for evaluating earthquake early warning for an infrastructure network: An idealized case study of a northern California rail system","docAbstract":"Earthquake early warning (EEW) systems provide a few to tens of seconds of warning before shaking hits a site. Despite the recent rapid developments of EEW systems around the world, the optimal alert response strategy and the practical benefit of using EEW are still open-ended questions, especially in areas where EEW systems are new or have not yet been deployed. Here, we use a case study of a rail system in California’s San Francisco Bay Area to explore potential uses of EEW for rail systems. Rail systems are of particular interest not only because they are important lifeline infrastructure and a common application for EEW around the world, but also because their geographically broad yet networked infrastructure makes them almost uniquely well suited for utilizing EEW. While the most obvious potential benefit of EEW to the railway is to prevent derailments by stopping trains before the arrival of shaking, the lead time for warnings is usually not long enough to significantly reduce a train’s speed. In reality, EEW’s greatest impact is preventing derailment by alerting trains to slow down or stop before they encounter damaged track. We perform cost-benefit analyses of different decision-making strategies for several EEW system designs to find an optimal alerting strategy. On-site EEW provides better outcomes than source-parameter-based EEW when warning at a threshold of 120 gal (the level of shaking at which damage might occur) regardless of false alarm tolerance. A source-parameter-based EEW system with a lower alerting threshold (e.g., 40 gal) can reduce the exposure to potentially damaged track compared to an on-site system alerting at 120 gal, but a lower alerting threshold comes at the cost of additional precautionary system stops. The optimal EEW approach for rail systems depends strongly on the ratio of the cost of stopping the system unnecessarily to the potential loss from traversing damaged tracks.","language":"English","publisher":"Frontiers Media SA","doi":"10.3389/feart.2021.620467","usgsCitation":"Minson, S.E., Cochran, E.S., Wu, S., and Noda, S., 2021, A framework for evaluating earthquake early warning for an infrastructure network: An idealized case study of a northern California rail system: Frontiers Earth Science Journal, v. 9, 620467, 14 p., https://doi.org/10.3389/feart.2021.620467.","productDescription":"620467, 14 p.","ipdsId":"IP-123427","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":452049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2021.620467","text":"Publisher Index Page"},{"id":407593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.91778564453125,\n 37.26968150969715\n ],\n [\n -121.24237060546876,\n 37.26968150969715\n ],\n [\n -121.24237060546876,\n 38.0091482264894\n ],\n [\n -122.91778564453125,\n 38.0091482264894\n ],\n [\n -122.91778564453125,\n 37.26968150969715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"editors":[{"text":"Kuyuk, Huseyin Serdar","contributorId":297119,"corporation":false,"usgs":false,"family":"Kuyuk","given":"Huseyin","email":"","middleInitial":"Serdar","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":853368,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Minson, Sarah E. 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":853339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":853340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Stephen","contributorId":198428,"corporation":false,"usgs":false,"family":"Wu","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":853341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noda, Shunta","contributorId":297102,"corporation":false,"usgs":false,"family":"Noda","given":"Shunta","affiliations":[{"id":27332,"text":"Railway Technical Research Institute","active":true,"usgs":false}],"preferred":false,"id":853342,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229064,"text":"70229064 - 2021 - Post-white-nose syndrome passive acoustic sampling effort for determining bat species occupancy within the mid-Atlantic region","interactions":[],"lastModifiedDate":"2022-02-28T15:19:15.463275","indexId":"70229064","displayToPublicDate":"2021-06-01T09:04:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Post-white-nose syndrome passive acoustic sampling effort for determining bat species occupancy within the mid-Atlantic region","docAbstract":"

We assessed the sampling effort requirements for detecting the presence of extant bat species following the impact of white-nose syndrome in the mid-Atlantic region of the United States. We acoustically sampled 27,796 nights across 846 sites between 15 May and 15 August 2016–2018 within the District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia. We developed simulations to determine the number of sites required to document bat species when each site was sampled different numbers of nights. We examined these simulations with respect to land cover, physiographic region, and time period. We generally found that sampling a greater number of sample sites within a survey area increased detection more than increasing the number of nights at individual sampling sites. The sampling effort required to detect a given bat species varied by species, as well as land-cover type and physiographic region. Our results suggest that land managers and researchers should use caution in using protocols developed with other objectives, e.g., the U.S. Fish and Wildlife Service endangered and threatened bat species and the North American Bat monitoring programs’ methods are designed relative to their specific needs. Unfortunately, neither protocol may be adequate for accurately detecting bat communities within all mid-Atlantic areas.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2021.107489","usgsCitation":"Deeley, S.M., Kalen, N., Freeze, S., Barr, E.L., and Ford, W., 2021, Post-white-nose syndrome passive acoustic sampling effort for determining bat species occupancy within the mid-Atlantic region: Ecological Indicators, v. 125, p. 1-9, https://doi.org/10.1016/j.ecolind.2021.107489.","productDescription":"107489, 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-121354","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":452052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2021.107489","text":"Publisher Index Page"},{"id":396551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","city":"Washington, D. C.","otherGeospatial":"Blue Ridge Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.508056640625,\n 38.1777509666256\n ],\n [\n -75.706787109375,\n 38.1777509666256\n ],\n [\n -75.706787109375,\n 39.740986355883564\n ],\n [\n -79.508056640625,\n 39.740986355883564\n ],\n [\n -79.508056640625,\n 38.1777509666256\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Deeley, Sabrina M.","contributorId":270674,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina","email":"","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":836389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalen, Nicholas J.","contributorId":286972,"corporation":false,"usgs":false,"family":"Kalen","given":"Nicholas J.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":836390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeze, Samuel R.","contributorId":270513,"corporation":false,"usgs":false,"family":"Freeze","given":"Samuel R.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":836391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barr, Elaine L.","contributorId":270623,"corporation":false,"usgs":false,"family":"Barr","given":"Elaine","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":836392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":836388,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226922,"text":"70226922 - 2021 - A multi-tracer and well-bore flow profile approach to determine occurrence, movement, and sources of perchlorate in groundwater","interactions":[],"lastModifiedDate":"2021-12-21T14:59:34.058138","indexId":"70226922","displayToPublicDate":"2021-06-01T08:43:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A multi-tracer and well-bore flow profile approach to determine occurrence, movement, and sources of perchlorate in groundwater","docAbstract":"The purpose of this study is to determine the occurrence, movement and sources of perchlorate in groundwater using a comprehensive set of environmental tracers coupled with discreet borehole data. Potential sources of perchlorate to groundwater at the study site have been attributed to waste disposal and industrial activities as well as to past agricultural operations. Perchlorate concentrations in samples ranged from <1 to 40 g/l, with a median of 6.1 g/l. Concentrations were relativity consistent with depth except at one site where dilution may be occurring due to the infiltration of surface water from Pyrite Creek. Well-bore flow profiles indicated that perchlorate redistribution was occurring via intra-well bore flow at one site where up to 14,000 mg/year of perchlorate could be moving from the shallower to the deeper zones of the alluvial aquifer. Natural attenuation processes of perchlorate do not appear to be widespread in groundwater but does occur in portions of the aquifer adjacent to the Santa Ana River, likely limiting the mobility of perchlorate from the southernmost extent of the mapped plume to areas further down-gradient. Age dating tracers indicate that perchlorate originating from the waste disposal ponds has largely moved through the zones of the aquifer sampled. Age distributions, noble gas temperature, delta neon values and stable isotopes of water indicate that a substantial fraction of perchlorate in groundwater may have been mobilized from the unsaturated zone and/or is from the infiltration of storm water runoff originating from Pyrite Canyon.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2021.104959","usgsCitation":"Wright, M., Izbicki, J.A., and Jurgens, B.C., 2021, A multi-tracer and well-bore flow profile approach to determine occurrence, movement, and sources of perchlorate in groundwater: Applied Geochemistry, v. 129, p. 1-18, https://doi.org/10.1016/j.apgeochem.2021.104959.","productDescription":"104959, 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-116219","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":452054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2021.104959","text":"Publisher Index Page"},{"id":393189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Jurupa Valley","otherGeospatial":"Jurupa Mountains, Mira Loma Hills, Pedley Hills, San Sevaine Channel, Santa Ana River, Stringfellow Superfund Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.66082763671875,\n 33.945638452963024\n ],\n [\n -117.14241027832031,\n 33.945638452963024\n ],\n [\n -117.14241027832031,\n 34.34343606848294\n ],\n [\n -117.66082763671875,\n 34.34343606848294\n ],\n [\n -117.66082763671875,\n 33.945638452963024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"129","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Wang, Z. Zimeng","contributorId":270243,"corporation":false,"usgs":false,"family":"Wang","given":"Z.","email":"","middleInitial":"Zimeng","affiliations":[],"preferred":false,"id":828813,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Wright, Michael 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":151031,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":828800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127842,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","email":"bjurgens@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828801,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236147,"text":"70236147 - 2021 - Devils Hole calcite was precipitated at ±1°C stable aquifer temperatures during the last half million years","interactions":[],"lastModifiedDate":"2022-08-30T13:48:39.748661","indexId":"70236147","displayToPublicDate":"2021-06-01T08:42:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Devils Hole calcite was precipitated at ±1°C stable aquifer temperatures during the last half million years","docAbstract":"

Subaqueous carbonates from the Devils Hole caves (southwestern USA) provide a continuous Holocene to Pleistocene North American paleoclimate record. The accuracy of this record relies on two assumptions: That carbonates precipitated close to isotope equilibrium and that groundwater temperature did not change significantly in the last 570 thousand years. Here, we investigate these assumptions using dual clumped isotope thermometry. This method relies on simultaneous analyses of carbonate ∆47 and ∆48 values and provides information on the existence and extent of kinetic isotope fractionation. Our results confirm the hypothesis that calcite precipitation occurred close to oxygen and clumped isotope equilibrium during the last half million years in Devils Hole. In addition, we provide evidence that aquifer temperatures varied by less than ±1°C during this interval. Thus, the Devils Hole calcite δ18O time series exclusively represents changes in groundwater δ18O values.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL093257","usgsCitation":"Bajnai, D., Coplen, T.B., Methner, K., Loffler, N., Krsnik, E., and Fiebig, J., 2021, Devils Hole calcite was precipitated at ±1°C stable aquifer temperatures during the last half million years: Geophysical Research Letters, v. 48, no. 11, e2021GL093257, 10 p., https://doi.org/10.1029/2021GL093257.","productDescription":"e2021GL093257, 10 p.","ipdsId":"IP-124752","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":452057,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021gl093257","text":"External Repository"},{"id":405900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.98242187499999,\n 38.07404145941957\n ],\n [\n -117.0703125,\n 36.88840804313823\n ],\n [\n -114.64233398437499,\n 35.003003395276714\n ],\n [\n -114.5654296875,\n 35.290468565908775\n ],\n [\n -114.6533203125,\n 35.60371874069731\n ],\n [\n -114.76318359375,\n 36.13787471840729\n ],\n [\n -114.43359375,\n 36.11125252076156\n ],\n [\n -114.2138671875,\n 36.03133177633187\n ],\n [\n -114.093017578125,\n 36.03133177633187\n ],\n [\n -114.0380859375,\n 36.24427318493909\n ],\n [\n -114.071044921875,\n 38.151837403006766\n ],\n [\n -116.98242187499999,\n 38.07404145941957\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bajnai, David 0000-0002-4053-5056","orcid":"https://orcid.org/0000-0002-4053-5056","contributorId":295938,"corporation":false,"usgs":false,"family":"Bajnai","given":"David","email":"","affiliations":[{"id":63949,"text":"Institute of Geosciences, Goethe University Frankfurt, Frankfurt am Main, Germany","active":true,"usgs":false}],"preferred":false,"id":850251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":850252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Methner, Katharina","contributorId":194316,"corporation":false,"usgs":false,"family":"Methner","given":"Katharina","email":"","affiliations":[],"preferred":false,"id":850253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loffler, Niklas 0000-0002-3026-8126","orcid":"https://orcid.org/0000-0002-3026-8126","contributorId":295941,"corporation":false,"usgs":false,"family":"Loffler","given":"Niklas","email":"","affiliations":[{"id":63949,"text":"Institute of Geosciences, Goethe University Frankfurt, Frankfurt am Main, Germany","active":true,"usgs":false}],"preferred":false,"id":850254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krsnik, Emilija","contributorId":295942,"corporation":false,"usgs":false,"family":"Krsnik","given":"Emilija","email":"","affiliations":[{"id":63954,"text":"Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany","active":true,"usgs":false}],"preferred":false,"id":850255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fiebig, Jens 0000-0001-5074-1462","orcid":"https://orcid.org/0000-0001-5074-1462","contributorId":295949,"corporation":false,"usgs":false,"family":"Fiebig","given":"Jens","email":"","affiliations":[{"id":63949,"text":"Institute of Geosciences, Goethe University Frankfurt, Frankfurt am Main, Germany","active":true,"usgs":false}],"preferred":false,"id":850256,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223497,"text":"70223497 - 2021 - Native mammalian predators can depredate adult Burmese Pythons in Florida","interactions":[],"lastModifiedDate":"2021-08-31T13:46:38.755411","indexId":"70223497","displayToPublicDate":"2021-06-01T08:41:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Native mammalian predators can depredate adult Burmese Pythons in Florida","docAbstract":"

Invasive predators are of conservation concern because they contribute to species declines and extinctions worldwide. Interactions of native fauna and invasive predators can be complex, but understanding these relationships can guide management and restoration. Observations of these interactions are especially important for invaders with low detectability like Python bivittatus (Burmese Python) where data are sparse. Here, we provide the first detailed documentation of mammalian attacks on Burmese Pythons in Florida: 1 Lynx rufus (Bobcat) predation of an adult male python and 1 Ursus americanus floridanus (Florida Black Bear) non-lethal attack on an adult female python.

","language":"English","publisher":"Eagle Hill Publications","doi":"10.1656/058.020.0205","usgsCitation":"McCollister, M.F., Josimovich, J.M., Fitzgerald, A.L., Jansen, D.K., and Currylow, A.F., 2021, Native mammalian predators can depredate adult Burmese Pythons in Florida: Southeastern Naturalist, v. 20, no. 2, p. N55-N59, https://doi.org/10.1656/058.020.0205.","productDescription":"5 p.","startPage":"N55","endPage":"N59","ipdsId":"IP-121323","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":388689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.36474609375,\n 25.585801212943935\n ],\n [\n -80.79757690429686,\n 25.585801212943935\n ],\n [\n -80.79757690429686,\n 26.277408212953834\n ],\n [\n -81.36474609375,\n 26.277408212953834\n ],\n [\n -81.36474609375,\n 25.585801212943935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCollister, Matthew F.","contributorId":264909,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","email":"","middleInitial":"F.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":822181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Josimovich, Jillian Maureen 0000-0002-7523-3496 jjosimovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7523-3496","contributorId":257058,"corporation":false,"usgs":true,"family":"Josimovich","given":"Jillian","email":"jjosimovich@usgs.gov","middleInitial":"Maureen","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzgerald, Austin Lee 0000-0002-9016-1849","orcid":"https://orcid.org/0000-0002-9016-1849","contributorId":264910,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Austin","email":"","middleInitial":"Lee","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jansen, Deborah K.","contributorId":264911,"corporation":false,"usgs":false,"family":"Jansen","given":"Deborah","email":"","middleInitial":"K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":822184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Currylow, Andrea Faye 0000-0003-1631-8964","orcid":"https://orcid.org/0000-0003-1631-8964","contributorId":257055,"corporation":false,"usgs":true,"family":"Currylow","given":"Andrea","email":"","middleInitial":"Faye","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822185,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221396,"text":"70221396 - 2021 - A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons","interactions":[],"lastModifiedDate":"2021-06-14T12:56:49.325445","indexId":"70221396","displayToPublicDate":"2021-06-01T07:54:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8932,"text":"Shore and Beach","active":true,"publicationSubtype":{"id":10}},"title":"A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons","docAbstract":"Hurricanes are known to play a critical role in reshaping coastlines, but often only impacts on the open ocean coast are considered, ignoring seaward-directed forces and responses. The identification of subaerial evidence for storm-induced seaward transport is a critical step towards understanding its impact on coastal resiliency. The visual features, found in the National Oceanic and Atmospheric Administration, National Geodetic Survey Emergency Response Imagery (ERI) collected after recent hurricanes on the U.S. East Atlantic and Gulf of Mexico coasts, include scours and channelized erosion, but also deposition on the shoreface or in the nearshore as deltas and fans of various sizes. We catalog all available ERI and describe recently formed features found on the North Core Banks, North Carolina, after Hurricane Dorian (2019); the Carolina coasts after Hurricane Isaias (2020); the Isles Dernieres, Louisiana, after Hurricane Zeta (2020); and the southwest coast of Louisiana, after Hurricanes Laura and Delta (2020). Hundreds of features were identified over nearly 200 km of coastline with the density of features exceeding 20 per km in some areas. Individual features range in size from 5 m to 500 m in the alongshore, with similar dimensions in the cross-shore direction, including the formation or reactivation of outlets. The extensive occurrence of these storm-induced return-flow and seawardflow morphologic features demonstrates that their role in coastal evolution and resilience may be more prominent than previously thought. Based on these observations we propose clarifying terms for return- and seaward-flow features to distinguish them from more frequently documented landward-flow features and advocate for their inclusion in coastal change hazards classification schemes and coastal evolution morphodynamic models.","language":"English","publisher":"American Shore & Beach Preservation Association","doi":"10.34237/1008924","usgsCitation":"Over, J.R., Brown, J., Sherwood, C.R., Hegermiller, C., Wernette, P., Ritchie, A.C., and Warrick, J.A., 2021, A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons: Shore and Beach, v. 89, no. 2, p. 31-40, https://doi.org/10.34237/1008924.","productDescription":"10 p.","startPage":"31","endPage":"40","ipdsId":"IP-126879","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":452060,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31223/x5dp69","text":"External Repository"},{"id":386467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"southeast United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.306640625,\n 25.005972656239187\n ],\n [\n -75.146484375,\n 25.005972656239187\n ],\n [\n -75.146484375,\n 36.59788913307022\n ],\n [\n -94.306640625,\n 36.59788913307022\n ],\n [\n -94.306640625,\n 25.005972656239187\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Jin-Si R. 0000-0001-6753-7185 jover@usgs.gov","orcid":"https://orcid.org/0000-0001-6753-7185","contributorId":260178,"corporation":false,"usgs":true,"family":"Over","given":"Jin-Si","email":"jover@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jenna A. 0000-0003-3137-7073","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":208564,"corporation":false,"usgs":true,"family":"Brown","given":"Jenna A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hegermiller, Christie 0000-0002-6383-7508 chegermiller@usgs.gov","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":149010,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","email":"chegermiller@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wernette, Phillipe Alan 0000-0002-8902-5575","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":259274,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe Alan","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817516,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221599,"text":"70221599 - 2021 - Watersheds and drainage networks","interactions":[],"lastModifiedDate":"2021-06-25T12:49:28.165348","indexId":"70221599","displayToPublicDate":"2021-06-01T07:47:23","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Watersheds and drainage networks","docAbstract":"

This topic is an overview of basic concepts about how the distribution of water on the Earth, with specific regard to watersheds, stream and river networks, and waterbodies are represented by geographic data. The flowing and non-flowing bodies of water on the earth’s surface vary in extent largely due to seasonal and annual changes in climate and precipitation. Consequently, modeling the detailed representation of surface water using geographic information is important. The area of land that collects surface runoff and other flowing water and drains to a common outlet location defines a watershed. Terrain and surface features can be naturally divided into watersheds of various sizes. Drainage networks are important data structures for modeling the distribution and movement of surface water over the terrain.  Numerous tools and methods exist to extract drainage networks and watersheds from digital elevation models (DEMs). The cartographic representations of surface water are referred to as hydrographic features and consist of a snapshot at a specific time. Hydrographic features can be assigned general feature types, such as lake, pond, river, and ocean. Hydrographic features can be stored, maintained, and distributed for use through vector geospatial databases, such as the National Hydrography Dataset (NHD) for the United States.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The geographic information science & technology body of knowledge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University Consortium for Geographic Information Science","doi":"10.22224/gistbok/2021.2.1","usgsCitation":"Stanislawski, L., and Shavers, E.J., 2021, Watersheds and drainage networks, chap. of The geographic information science & technology body of knowledge, https://doi.org/10.22224/gistbok/2021.2.1.","ipdsId":"IP-125926","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":452062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22224/gistbok/2021.2.1","text":"Publisher Index Page"},{"id":386732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":217849,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":818251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":818252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70243820,"text":"70243820 - 2021 - New interpretations of the ages and origins of the Hawkeye Granite Gneiss and Lyon Mountain Granite Gneiss, Adirondack Mountains, NY: Implications for the nature and timing of Mesoproterozoic plutonism, metamorphism, and deformation","interactions":[],"lastModifiedDate":"2023-05-22T12:43:37.935818","indexId":"70243820","displayToPublicDate":"2021-06-01T07:11:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"New interpretations of the ages and origins of the Hawkeye Granite Gneiss and Lyon Mountain Granite Gneiss, Adirondack Mountains, NY: Implications for the nature and timing of Mesoproterozoic plutonism, metamorphism, and deformation","docAbstract":"The Hawkeye Granite Gneiss and Lyon Mountain Granite Gneiss are widespread Mesoproterozoic plutonic rocks that occur in the amphibolite- to granulite-facies Adirondack Highlands of northern New York, USA. The strongly deformed Hawkeye Granite Gneiss, previously dated by zircon multi-grain thermal ionization mass spectrometry (TIMS) U-Pb analyses at about 1100 Ma, was intruded by the weakly deformed Lyon Mountain Granite Gneiss. Previous sensitive high resolution ion microprobe (SHRIMP) analyses of Lyon Mountain Granite Gneiss zircon rims were considered to record the time of igneous emplacement at about 1.05 Ga, whereas the ages of zircon cores (~1.15 Ga) were interpreted as being inherited from nearby metaigneous country rocks. This interpretation has formed the basis of numerous models for the Mesoproterozoic structural and tectonic evolution of the Adirondacks Highlands.\nNew U-Pb spot analyses (~15-20 µm diameter) by SHRIMP from four samples of Hawkeye Granite Gneiss and eight samples of Lyon Mountain Granite Gneiss challenge the historically accepted ages of the rocks. Using a combination of high-resolution CL imagery of oscillatory zoned cores and weakly zoned to unzoned rims, SHRIMP U-Pb geochronology, SHRIMP trace element geochemistry, and SEM petrography, we conclude that: (1) the Hawkeye Granite Gneiss was emplaced at about 1160 to 1155 Ma; (2) the vast majority of Lyon Mountain Granite Gneiss zircon cores yield ages of 1150 to 1145 Ma and are mainly primary, not inherited; and (3) the Hawkeye Granite Gneiss and Lyon Mountain Granite Gneiss zircon rims (~1080 to 1000 Ma) are metamorphic in origin, not igneous. Thus, both the Hawkeye Granite Gneiss and Lyon Mountain Granite Gneiss are considered herein to be late members of the mangerite-charnockite-granite (MCG) plutonic suite, emplaced during the waning stages of the Shawinigan orogeny. Zircon cores from two small plutons of largely undeformed fayalite granite of the Lyon Mountain Granite Gneiss are about 1142 Ma, providing a minimum age constraint for the termination of the Shawinigan. Zircon rim ages can be deconvoluted into multiple metamorphic events of the Ottawan and Rigolet tectonothermal events. These new interpretations have profound implications for structural, tectonic, and ore deposit models of the Adirondacks Highlands.","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2021.106112","usgsCitation":"Aleinikoff, J.N., Walsh, G., and McAleer, R.J., 2021, New interpretations of the ages and origins of the Hawkeye Granite Gneiss and Lyon Mountain Granite Gneiss, Adirondack Mountains, NY: Implications for the nature and timing of Mesoproterozoic plutonism, metamorphism, and deformation: Precambrian Research, v. 358, 106112, 37 p., https://doi.org/10.1016/j.precamres.2021.106112.","productDescription":"106112, 37 p.","ipdsId":"IP-125459","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":452063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2021.106112","text":"Publisher Index Page"},{"id":417288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains, Lyon Mountain Granite, Hawkeye Granite","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.48797761630235,\n 44.84476019334153\n ],\n [\n -74.48797761630235,\n 44.35760977189841\n ],\n [\n -73.42439482753956,\n 44.35760977189841\n ],\n [\n -73.42439482753956,\n 44.84476019334153\n ],\n [\n -74.48797761630235,\n 44.84476019334153\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"358","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":265307,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":873382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":873383,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222051,"text":"70222051 - 2021 - Ecological effects of climate-driven salinity variation in the San Francisco Estuary: Can we anticipate and manage the coming changes?","interactions":[],"lastModifiedDate":"2021-07-15T20:45:26.524443","indexId":"70222051","displayToPublicDate":"2021-05-31T15:39:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Ecological effects of climate-driven salinity variation in the San Francisco Estuary: Can we anticipate and manage the coming changes?","docAbstract":"

Climate change-driven sea level rise and altered precipitation regimes are predicted to alter patterns of salt intrusion within the San Francisco Estuary. A central question is: Can we use existing knowledge and future projections to predict and manage the anticipated ecological impacts? This was the subject of a 2018 symposium entitled “Ecological and Physiological Impacts of Salinization of Aquatic Systems from Human Activities.” The symposium brought together an inter-disciplinary group of scientists and researchers, resource managers, and policy-makers. Here, we summarize and review the presentations and discussions that arose during the symposium. From a historical perspective, salt intrusion has changed substantially over the past 10,000 years as a result of changing climate patterns, with additional shifts from recent anthropogenic effects. Current salinity patterns in the San Francisco Estuary are driven by a suite of hydrodynamic processes within the given contexts of water management and geography. Based on climate projections for the coming century, significant changes are expected in the processes that determine the spatial and temporal patterns of salinity. Given that native species—including fishes such as the Delta Smelt and Sacramento Splittail—track favorable habitats, exhibit physiological acclimation, and can adaptively evolve, we present a framework for assessing their vulnerability to altered salinity in the San Francisco Estuary. We then present a range of regulatory and structural management tools that are available to control patterns of salinity within the San Francisco Estuary. Finally, we identify major research priorities that can help fill critical gaps in our knowledge about future salinity patterns and the consequences of climate change and sea level rise. These research projects will be most effective with strong linkages and communication between scientists and researchers, resource managers, and policy-makers.

","language":"English","publisher":"John Muir Institute of the Environment","doi":"10.15447/sfews.2021v19iss2art3","usgsCitation":"Chalambor, C.K., Gross, E.S., Grosholz, E., Jeffries, K.M., Largier, J.L., McCormick, S.D., Sommer, T., Velotta, J., and Whitehead, A., 2021, Ecological effects of climate-driven salinity variation in the San Francisco Estuary: Can we anticipate and manage the coming changes?: San Francisco Estuary and Watershed Science, v. 19, no. 2, https://doi.org/10.15447/sfews.2021v19iss2art3.","productDescription":"3, 30 p.","startPage":"article 3","ipdsId":"IP-120646","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":452067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss2art3","text":"Publisher Index Page"},{"id":387198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.56347656249999,\n 37.208456662000195\n ],\n [\n -120.904541015625,\n 37.208456662000195\n ],\n [\n -120.904541015625,\n 38.749799358878526\n ],\n [\n -122.56347656249999,\n 38.749799358878526\n ],\n [\n -122.56347656249999,\n 37.208456662000195\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Chalambor, Cameron K","contributorId":261131,"corporation":false,"usgs":false,"family":"Chalambor","given":"Cameron","email":"","middleInitial":"K","affiliations":[{"id":52741,"text":"Colorado State Univ","active":true,"usgs":false}],"preferred":false,"id":819305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Edward S.","contributorId":173128,"corporation":false,"usgs":false,"family":"Gross","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":16871,"text":"Resource Management Associates","active":true,"usgs":false}],"preferred":false,"id":819307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosholz, Edwin D.","contributorId":171563,"corporation":false,"usgs":false,"family":"Grosholz","given":"Edwin D.","affiliations":[],"preferred":false,"id":819306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jeffries, Ken M","contributorId":261132,"corporation":false,"usgs":false,"family":"Jeffries","given":"Ken","email":"","middleInitial":"M","affiliations":[{"id":52742,"text":"Univ Manitoba","active":true,"usgs":false}],"preferred":false,"id":819308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Largier, John L.","contributorId":175121,"corporation":false,"usgs":false,"family":"Largier","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":819309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sommer, Ted","contributorId":256830,"corporation":false,"usgs":false,"family":"Sommer","given":"Ted","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":819311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Velotta, Jonathan P","contributorId":192317,"corporation":false,"usgs":false,"family":"Velotta","given":"Jonathan P","affiliations":[],"preferred":false,"id":819312,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whitehead, Andrew","contributorId":221105,"corporation":false,"usgs":false,"family":"Whitehead","given":"Andrew","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":819313,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70222359,"text":"70222359 - 2021 - Quarterly wildlife mortality report April 2021","interactions":[],"lastModifiedDate":"2023-10-13T13:31:04.206897","indexId":"70222359","displayToPublicDate":"2021-05-31T11:09:23","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9359,"text":"Wildlife Disease Association Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Quarterly wildlife mortality report April 2021","docAbstract":"The USGS National Wildlife Health Center (NWHC) Quarterly Mortality Report provides brief summaries of epizootic mortality and morbidity events by quarter. The write-ups, highlighting epizootic events and other wildlife disease topics of interest, are published in the Wildlife Disease Association quarterly newsletter. A link is provided in this WDA newsletter to the Wildlife Health Information Sharing Partnership event reporting system (WHISPers) so readers can view associated data.","language":"English","publisher":"Wildlife Disease Association","usgsCitation":"Richards, B.J., Russell, R., and Ballmann, A., 2021, Quarterly wildlife mortality report April 2021: Wildlife Disease Association Newsletter, p. 9-12.","productDescription":"4 p.","startPage":"9","endPage":"12","ipdsId":"IP-128295","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":389735,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.wildlifedisease.org/PersonifyEbusiness/Resources/Publications/Newsletter/Archive"},{"id":389741,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Richards, Bryan J. 0000-0001-9955-2523","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":219535,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":819751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":219536,"corporation":false,"usgs":true,"family":"Russell","given":"Robin E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":819752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":819753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222440,"text":"70222440 - 2021 - Vulnerability assessment and adaptation planning for projected changes in water quality and quantity for protected areas in the upper Midwest","interactions":[],"lastModifiedDate":"2021-09-08T16:17:52.90721","indexId":"70222440","displayToPublicDate":"2021-05-31T11:06:25","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":251,"text":"Final Report","active":false,"publicationSubtype":{"id":4}},"title":"Vulnerability assessment and adaptation planning for projected changes in water quality and quantity for protected areas in the upper Midwest","docAbstract":"Climate change and the extreme weather associated with it can be a major challenge to natural resource managers charged with the protection, restoration, recovery, and management of wetlands and wildlife habitats. Forecasting the potential impacts of climate changes will be important for decision-makers and land managers seeking to minimize impacts to habitats, infrastructure, and wildlife populations and prepare for the future. In collaboration with U.S. Fish and Wildlife Service (FWS) managers, we developed a climate change vulnerability assessment to spatially evaluate climate vulnerabilities across the Midwest region. To create the vulnerability assessment, we convened resource managers and scientists working across the region to determine the components and scope of the vulnerability assessment. The vulnerability assessment was watershed-based and composed of 15 indicators of climate change and five indicators that reflect the capacity of a watershed to buffer against the effects of climate change. The indicators were selected by FWS managers to have broad applicability across systems and programs in the FWS. To facilitate usability, we created an online application that allows users to generate customizable vulnerability assessments. We then integrated the assessment into a process for engaging in climate change adaptation thinking as a precursor to formal planning, implementation, and monitoring of adaptation actions. The process we designed focused on understanding the components of the system, assessing climate change vulnerabilities, creating and describing possible climate change scenarios, and identifying impacts and adaptation options for each scenario. We piloted this process in a virtual workshop setting with FWS managers and biologists on the topic of managed wetland systems. This work is currently being used by the FWS to better understand regional vulnerabilities and adaptation strategies and to advance integration of climate science into formal planning processes.","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"Bouska, K.L., and Delaney, J., 2021, Vulnerability assessment and adaptation planning for projected changes in water quality and quantity for protected areas in the upper Midwest: Final Report, 19 p.","productDescription":"19 p.","ipdsId":"IP-128718","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":388952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":388951,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.umass.edu/necsc/projects/vulnerability-assessment-and-adaptation-planning-projected-changes-water-quality-and"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.39453125,\n 36.421282443649496\n ],\n [\n -89.1650390625,\n 36.527294814546245\n ],\n [\n -88.2861328125,\n 37.3002752813443\n ],\n [\n -87.5390625,\n 37.85750715625203\n ],\n [\n -85.4736328125,\n 38.09998264736481\n ],\n [\n -84.72656249999999,\n 39.095962936305476\n ],\n [\n -83.232421875,\n 38.34165619279595\n ],\n [\n -81.34277343749999,\n 38.75408327579141\n ],\n [\n -80.33203125,\n 41.80407814427234\n ],\n [\n -83.1884765625,\n 41.73852846935917\n ],\n [\n -82.3974609375,\n 43.13306116240612\n ],\n [\n -83.056640625,\n 45.67548217560647\n ],\n [\n -84.5947265625,\n 46.73986059969267\n ],\n [\n -89.736328125,\n 48.04870994288686\n ],\n [\n -91.01074218749999,\n 48.07807894349862\n ],\n [\n -92.373046875,\n 48.45835188280866\n ],\n [\n -93.8671875,\n 48.574789910928864\n ],\n [\n -94.7021484375,\n 48.86471476180277\n ],\n [\n -95.00976562499999,\n 49.468124067331644\n ],\n [\n -95.09765625,\n 49.06666839558117\n ],\n [\n -97.1630859375,\n 48.951366470947725\n ],\n [\n -96.6796875,\n 45.61403741135093\n ],\n [\n -96.45996093749999,\n 43.61221676817573\n ],\n [\n -96.767578125,\n 42.74701217318067\n ],\n [\n -95.6689453125,\n 40.27952566881291\n ],\n [\n -94.6142578125,\n 39.095962936305476\n ],\n [\n -94.52636718749999,\n 37.92686760148135\n ],\n [\n -94.7900390625,\n 36.94989178681327\n ],\n [\n -94.39453125,\n 36.421282443649496\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delaney, John 0000-0003-1038-0265","orcid":"https://orcid.org/0000-0003-1038-0265","contributorId":255630,"corporation":false,"usgs":true,"family":"Delaney","given":"John","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219918,"text":"70219918 - 2021 - 3-D Modeling of the Duluth Complex from geophysical data","interactions":[],"lastModifiedDate":"2021-09-17T15:49:58.370459","indexId":"70219918","displayToPublicDate":"2021-05-31T10:43:45","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"3-D Modeling of the Duluth Complex from geophysical data","docAbstract":"The Mesoproterozoic Duluth Complex in northeastern Minnesota is one of the major plutonic components of the Midcontinent Rift System and hosts a variety of copper-nickel sulfide and platinum-group element deposits. The Duluth Complex is composed of a series of individual mafic and felsic intrusions emplaced 1110-1098 Ma within Paleoproterozoic sedimentary rocks of the Animikie basin and volcanic flows of the Midcontinent Rift. Prior work has included 2-D modeling and qualitative geologic interpretations of gravity and magnetic data (e.g., Chandler, 1990; Chandler and Ferderer, 1989), much of which is still preliminary (V. Chandler, written commun., 2020). Three-dimensional modeling has been limited, with only one 3-D model created using Bouguer gravity data constrained by seismic-reflection interpretations as part of a PhD thesis (Allen, 1994). Given the complex geology of the area, 3-D modeling is useful for providing a complete picture of the variable densities, susceptibilities, and electrical resistivities throughout the Duluth Complex and associated volcanic rocks as well as their depth extent beneath sedimentary cover. Models of these geophysical properties at depth enable more accurate geologic mapping in the subsurface which can lead to an improved understanding of the formation history of the Duluth Complex. \nIn this study, we use aeromagnetic data acquired between 1979-1991 (Chandler, 2007), Bouguer gravity data collected since 1950 (Chandler and Lively, 2019), and magnetotelluric data collected in 2019 to create new 2-D and 3-D geophysical models of the Duluth Complex constrained by seismic reflection, geologic, and rock property data. An inversion of the Bouguer gravity data for thickness of the Duluth Complex using constant densities of 3110 kg/m3 and 2670 kg/m3 for the Duluth Complex and surrounding crustal rocks, respectively, results in thicknesses ranging from ~3-28 km for the Duluth Complex and related intrusions and volcanic rocks (Figure 1A). A 3-D model of the magnetotelluric data reveals low resistivity anomalies at ~5-10 km depth below the northern margin of the Duluth Complex and below the Greenwood Lake intrusion (Figure 1B). We expect to encounter low resistivities at depth associated with the Paleoproterozoic Animikie basin, which makes up the floor of the Duluth Complex, and therefore interpret these anomalies as either the base of the complex or as fragments of Animikie sediments interfingered with igneous intrusive rocks. Finally, 3-D voxel models of density and susceptibility illuminate the subsurface distribution of rock properties below the Duluth Complex which, in combination with resistivity and thickness models, can be used to create a 3-D geologic map of this area.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"67th Institute on Lake Superior Geology Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Institute on Lake Superior Geology","usgsCitation":"Peterson, D.E., Bedrosian, P.A., and Finn, C., 2021, 3-D Modeling of the Duluth Complex from geophysical data, in 67th Institute on Lake Superior Geology Proceedings, p. 52-53.","productDescription":"2 p.","startPage":"52","endPage":"53","ipdsId":"IP-128596","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":389395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389394,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.lakesuperiorgeology.org/Virtual2021/index.html"}],"country":"United States","state":"Minnesota","otherGeospatial":"Duluth Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.31787109374999,\n 47.29413372501023\n ],\n [\n -88.48388671874999,\n 47.29413372501023\n ],\n [\n -88.48388671874999,\n 48.46563710044979\n ],\n [\n -93.31787109374999,\n 48.46563710044979\n ],\n [\n -93.31787109374999,\n 47.29413372501023\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Dana E. 0000-0002-1941-265X","orcid":"https://orcid.org/0000-0002-1941-265X","contributorId":225536,"corporation":false,"usgs":true,"family":"Peterson","given":"Dana","email":"","middleInitial":"E.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":814394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":814395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":205010,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":814396,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222361,"text":"70222361 - 2021 - Integration of geophysical evidence suggests that anorthosite composes a significant portion of Grand Marais ridge, an inferred basement high in western Lake Superior","interactions":[],"lastModifiedDate":"2021-07-26T11:46:26.615466","indexId":"70222361","displayToPublicDate":"2021-05-31T10:03:36","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integration of geophysical evidence suggests that anorthosite composes a significant portion of Grand Marais ridge, an inferred basement high in western Lake Superior","docAbstract":"

The Midcontinent Rift System (MRS) is expressed geophysically by a semi-linear, regional gravity high that trends across the Midcontinent and Great Lakes region of North America. The gravity high is interrupted by two prominent, semi-circular gravity lows, which have been interpreted from modeling and seismic-reflection sections as basement highs of Archean granite (Allen et al., 1997). One is centered southwest of Isle Royale in western Lake Superior (Grand Marais ridge) and the other over Bayfield Peninsula (White’s Ridge). Allen et al. (1997) suggest that the Archean granite highs were pre-rift features that remained high while lava basins of the MRS subsided adjacent to them. Hart et al. (1994) questioned the presence of granitic rocks underlying Grand Marais ridge (GMR) because heat flow measurements there are much lower than is typical for Archean granitic upper crust. They argued that the region must instead be underlain by rocks of low radiogenic heat production, such as gabbro, extending to at least 15 km depth. However, gabbro has high densities and would not produce the observed gravity low. Thus, the geophysical observations appear contradictory. 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Institute on Lake Superior Geology: Proceedings 2021","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Institute of Lake Superior Geology","usgsCitation":"Grauch, V.J., and Heller, S.J., 2021, Integration of geophysical evidence suggests that anorthosite composes a significant portion of Grand Marais ridge, an inferred basement high in western Lake Superior, in Institute on Lake Superior Geology: Proceedings 2021, v. 67, p. 29-30.","productDescription":"2 p.","startPage":"29","endPage":"30","ipdsId":"IP-128430","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":387398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387391,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcollections.lakeheadu.ca/items/show/3063"}],"country":"United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.340576171875,\n 47.56170075451973\n ],\n [\n -89.26391601562499,\n 47.56170075451973\n ],\n [\n -89.26391601562499,\n 47.96785877999251\n ],\n [\n -90.340576171875,\n 47.96785877999251\n ],\n [\n -90.340576171875,\n 47.56170075451973\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.01074218749999,\n 46.76244305208004\n ],\n [\n -90.28564453124999,\n 46.76244305208004\n ],\n [\n -90.28564453124999,\n 47.249406957888446\n ],\n [\n -91.01074218749999,\n 47.249406957888446\n ],\n [\n -91.01074218749999,\n 46.76244305208004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":819754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heller, Samuel J. 0000-0002-6579-5620 sheller@usgs.gov","orcid":"https://orcid.org/0000-0002-6579-5620","contributorId":201350,"corporation":false,"usgs":true,"family":"Heller","given":"Samuel","email":"sheller@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":819755,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70222466,"text":"70222466 - 2021 - Field evaluation of an improved solid TFM formulation for use in treating small tributary streams","interactions":[],"lastModifiedDate":"2021-07-30T14:22:37.638537","indexId":"70222466","displayToPublicDate":"2021-05-31T09:21:11","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Field Evaluation of an Improved Solid TFM Formulation for Use in Treating Small Tributary Streams","title":"Field evaluation of an improved solid TFM formulation for use in treating small tributary streams","docAbstract":"A solid lampricide formulation containing 23% 3-trifluoromethyl-4-nitrophenol (TFM) as the active ingredient was developed in the mid-1980s for use in small tributaries of dendritic streams during routine treatments to kill larval sea lamprey. This TFM bar formulation was designed to use a matrix of commercially prepared surfactants that would dissolve and slowly release their TFM payload over an 8–10-hour period. Although this formulation has proven useful, several matrix surfactants have been discontinued, resulting in the need to reformulate the TFM bar multiple times. Maintaining acceptable performance of the TFM bars while reformulating has been challenging. As a result, an experimental surfactant-free tableted TFM formulation was developed as a potential TFM bar replacement. Release of TFM from the tablet formulation was evaluated in four independent experimental applications made over varied substrates in three small tributaries of the Ford River (Delta County, Michigan). For each tributary, TFM release from tablets was modeled using exponential decay curves and the time required to release 25, 50, 75 and 90% of the TFM tablets was calculated. Differences in water-quality properties were detected using one-way analysis of variance tests, and post-hoc Tukey Honest Significant Difference tests were used to determine which water-quality properties differed among the trials. The influences of water temperature and water velocity on the release of TFM from the tablets has been previously reported; however, in this study substrate type also appeared to be an indicator of TFM release. In this study the performance of the TFM tablets appeared acceptable; however, it may be beneficial to conduct additional investigations to determine storage stability and handling durability as well as to identify potential challenges with mass production.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Luoma, J.A., Robertson, N., Schueller, J., Schloesser, N., Johnson, T., Severson, T.J., Meulemans, M.J., and Muelemans, E., 2021, Field evaluation of an improved solid TFM formulation for use in treating small tributary streams, 21 p.","productDescription":"21 p.","ipdsId":"IP-127807","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":387600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387559,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/pdfs/research/reports/2020_LUO_760150.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Nicholas","contributorId":237024,"corporation":false,"usgs":false,"family":"Robertson","given":"Nicholas","email":"","affiliations":[{"id":18886,"text":"Northland College","active":true,"usgs":false}],"preferred":false,"id":820121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":213527,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schloesser, Nicholas 0000-0002-3815-5302","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":237025,"corporation":false,"usgs":true,"family":"Schloesser","given":"Nicholas","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Todd 0000-0003-2152-8528","orcid":"https://orcid.org/0000-0003-2152-8528","contributorId":261519,"corporation":false,"usgs":true,"family":"Johnson","given":"Todd","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820125,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meulemans, Matthew J 0000-0003-4584-8737","orcid":"https://orcid.org/0000-0003-4584-8737","contributorId":261521,"corporation":false,"usgs":true,"family":"Meulemans","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820126,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Muelemans, Erica","contributorId":261523,"corporation":false,"usgs":false,"family":"Muelemans","given":"Erica","email":"","affiliations":[{"id":52865,"text":"Northland College, Ashland, WI","active":true,"usgs":false}],"preferred":false,"id":820127,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70223180,"text":"70223180 - 2021 - Alaska landbird montoring survey: Alaska regional protocol framework for monitoring landbirds using point counts","interactions":[],"lastModifiedDate":"2021-08-17T14:13:12.185743","indexId":"70223180","displayToPublicDate":"2021-05-31T09:03:14","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5856,"text":"Regional Protocol Framework","active":true,"publicationSubtype":{"id":1}},"title":"Alaska landbird montoring survey: Alaska regional protocol framework for monitoring landbirds using point counts","docAbstract":"

Alaska provides habitat for 143 species of landbirds that occur regularly in the state, about half of which breed predominantly north of the border between the contiguous United States and Canada. The road-based North American Breeding Bird Survey (BBS) provides some data on population trends in Alaska, but most northern populations are inadequately monitored by this program because of a paucity of roads. To remedy this deficiency, Boreal Partners in Flight developed the Alaska Landbird Monitoring Survey (ALMS) to monitor breeding populations of landbirds in off-road areas of Alaska in tandem with data collected from the roadside BBS. The primary objective of ALMS is to monitor long-term population trends of landbirds and other species that can be monitored by diurnal point counts during the breeding season, including many shorebirds and aquatic birds. A secondary objective is to estimate landbird densities by habitat, which can be used to model avian distribution and abundance across Alaska. ALMS is a collaborative program whereby agencies and other entities conduct standardized surveys of breeding birds and their habitats on the lands they manage and then contribute the data to the U.S. Geological Survey Alaska Science Center for storage and analysis.

The short-term implementation goal of ALMS is to monitor birds systematically within each of 100 randomly selected survey blocks, thereby matching the number of BBS surveys conducted in each of Alaska's five Bird Conservation Regions (BCRs). Each block has a mini-grid of 15−25 points that are surveyed biennially, with half of the blocks surveyed in alternating years. Survey blocks are stratified by accessibility and cost-effectiveness. Refuges may opt to limit sites to those accessible by foot, vehicle, boat, or fixed-wing aircraft, as these can be surveyed more inexpensively and reliably over time. Observers survey each point within a survey block for birds using a 10-min point count once per summer on a biennial basis. They collect corresponding habitat data during the first visit and at subsequent 10-year intervals or whenever a disturbance (e.g., fire, wind) has caused a significant change. USGS analyzes ALMS data jointly with BBS data to test for differences between off-road and roadside areas and to increase power to detect statewide trends. Additional blocks can be surveyed in areas that are more difficult and expensive to access as resources become available in the future. Long-term monitoring enables detection of change in bird populations in relation to fire, disease and insect damage, resource development, climate-related change, and other landscape-level disturbances across Alaska. Results from ALMS can also help prioritize conservation and research towards species before they become endangered and require expensive recovery programs.

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N.","contributorId":173930,"corporation":false,"usgs":false,"family":"Cady","given":"Melissa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":821283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Granfors, Diane A.","contributorId":174567,"corporation":false,"usgs":false,"family":"Granfors","given":"Diane","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":821284,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70224592,"text":"70224592 - 2021 - Using tree-rings to unravel avalanche frequency and associated climate drivers in the northern Rocky Mountains","interactions":[],"lastModifiedDate":"2021-09-29T14:02:49.719415","indexId":"70224592","displayToPublicDate":"2021-05-31T08:59:53","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9362,"text":"Earth Science Matters 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No abstract available.

","largerWorkTitle":"Earth Science Matters","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Peitzsch, E.H., 2021, Using tree-rings to unravel avalanche frequency and associated climate drivers in the northern Rocky Mountains: Earth Science Matters Newsletter, v. 12, no. Spring, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-129404","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":389954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389938,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/center-news/using-tree-rings-unravel-avalanche-frequency-and-associated-climate-drivers-northern?qt-news_science_products=3#qt-news_science_products"}],"country":"United States","state":"Montana","otherGeospatial":"northern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.86181640625001,\n 46.927758623434435\n ],\n [\n -111.99462890625,\n 46.927758623434435\n ],\n [\n -111.99462890625,\n 48.980216985374994\n ],\n [\n -115.86181640625001,\n 48.980216985374994\n ],\n [\n -115.86181640625001,\n 46.927758623434435\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"Spring","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":824230,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70221725,"text":"70221725 - 2021 - Improving species status assessments under the U.S. Endangered Species Act and implications for multispecies conservation challenges worldwide","interactions":[],"lastModifiedDate":"2021-12-10T16:36:17.553183","indexId":"70221725","displayToPublicDate":"2021-05-31T07:50:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Improving species status assessments under the U.S. Endangered Species Act and implications for multispecies conservation challenges worldwide","docAbstract":"

Despite its successes, the U.S. Endangered Species Act (ESA) has proven challenging to implement due to funding limitations, workload backlog, and other problems. As threats to species survival intensify and as more species come under threat, the need for the ESA and similar conservation laws and policies in other countries to function efficiently has grown. Attempts by the U.S. Fish and Wildlife Service (USFWS) to streamline ESA decisions include multispecies recovery plans and habitat conservation plans. We address species status assessment (SSA), a USFWS process to inform ESA decisions from listing to recovery, within the context of multispecies and ecosystem planning. Although existing SSAs have a single-species focus, ecosystem-based research can efficiently inform multiple SSAs within a region and provide a foundation for transition to multispecies SSAs in the future. We considered at-risk grassland species and ecosystems within the southeastern United States, where a disproportionate number of rare and endemic species are associated with grasslands. To initiate our ecosystem-based approach, we used a combined literature-based and structured World Café workshop format to identify science needs for SSAs. Discussions concentrated on 5 categories of threats to grassland species and ecosystems, consistent with recommendations to make shared threats a focus of planning under the ESA: (1) habitat loss, fragmentation, and disruption of functional connectivity; (2) climate change; (3) altered disturbance regimes; (4) invasive species; and (5) localized impacts. For each threat, workshop participants identified science and information needs, including database availability, research priorities, and modeling and mapping needs. Grouping species by habitat and shared threats can make the SSA process and other planning processes for conservation of at-risk species worldwide more efficient and useful. We found a combination of literature review and structured discussion effective for identifying the scientific information and analysis needed to support the development of multiple SSAs.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13777","usgsCitation":"Noss, R., Cartwright, J.M., Estes, D., Witsell, T., Elliott, G., Adams, D.S., Albrecht, M.A., Boyles, R., Comer, P., Doffitt, C., Hill, J.G., Hunter, W.C., Knapp, W.M., Marshall, M., Singhurst, J.R., Tracey, C., Walck, J.L., and Weakley, A., 2021, Improving species status assessments under the U.S. Endangered Species Act and implications for multispecies conservation challenges worldwide: Conservation Biology, v. 35, no. 6, p. 1715-1724, https://doi.org/10.1111/cobi.13777.","productDescription":"10 p.","startPage":"1715","endPage":"1724","ipdsId":"IP-122143","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":452069,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/cobi.13777","text":"External 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Center","active":true,"usgs":true}],"preferred":true,"id":818520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Estes, Dwayne","contributorId":260711,"corporation":false,"usgs":false,"family":"Estes","given":"Dwayne","affiliations":[{"id":52648,"text":"Southeastern Grasslands Initiative","active":true,"usgs":false}],"preferred":false,"id":818521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Witsell, Theo","contributorId":258187,"corporation":false,"usgs":false,"family":"Witsell","given":"Theo","email":"","affiliations":[],"preferred":false,"id":818522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elliott, Gregg","contributorId":260712,"corporation":false,"usgs":false,"family":"Elliott","given":"Gregg","email":"","affiliations":[{"id":52648,"text":"Southeastern Grasslands Initiative","active":true,"usgs":false}],"preferred":false,"id":818523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Daniel S. 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R.","contributorId":258196,"corporation":false,"usgs":false,"family":"Singhurst","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":818533,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tracey, Christopher","contributorId":260714,"corporation":false,"usgs":false,"family":"Tracey","given":"Christopher","affiliations":[{"id":52650,"text":"Pennsylvania Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":818534,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Walck, Jeffrey L. 0000-0002-8518-9900","orcid":"https://orcid.org/0000-0002-8518-9900","contributorId":258197,"corporation":false,"usgs":false,"family":"Walck","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":818535,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Weakley, Alan 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We report a new calibration model for manganese using the laser-induced breakdown spectroscopy instrument that is part of the ChemCam instrument suite onboard the NASA Curiosity rover. The model has been trained using an expanded set of 523 manganese-bearing rock, mineral, metal ore, and synthetic standards. The optimal calibration model uses the Partial Least Squares (PLS) and Least Absolute Shrinkage and Selection Operator (LASSO) multivariate techniques, with a novel “double blending” technique. We determined the detection limit for manganese is 82 ppm using a method blank procedure and is possibly as low as 27 ppm based on visual inspection of the spectra. Based on a representative test set consisting of measurements on 93 standards, the double blended multivariate model shows a Root Mean Squared Error of Prediction (RMSEP) accuracy of 1.39 wt% MnO for the full blended model. Employing a local RMSEP estimate where the model performance is evaluated based on nearby test samples, the accuracy is 0.03 wt% at the quantification limit (0.05 wt% MnO), 0.4 wt% accuracy at 1.0 wt% MnO, and 4.4 wt% accuracy at 100 wt% MnO. Precision is estimated using the standard deviation of the test set measurements, and is ±0.01 wt% MnO at the quantification limit, ±0.09 wt% MnO at 1.0 wt% MnO, and ± 2.1 wt% MnO at 100 wt% MnO (all 1 standard deviation). This new calibration is important for understanding the variation of manganese in the bedrock with the Curiosity rover on Mars, which provides insight into past redox conditions on Mars.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.sab.2021.106223","usgsCitation":"Gasda, P.J., Anderson, R.B., Cousin, A., Forni, O., Clegg, S.M., Ollila, A., Lanza, N.L., Lamm, S., Wiens, R.C., Maurice, S., Gasnault, O., Beal, R., Reyes-Newell, A., and Delapp, D., 2021, Quantification of manganese for ChemCam Mars and laboratory spectra using a multivariate model: Spectrochimica Acta B, v. 181, 106223, https://doi.org/10.1016/j.sab.2021.106223.","productDescription":"106223","ipdsId":"IP-127445","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hal.science/hal-03449982","text":"Publisher Index Page"},{"id":410785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"181","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gasda, Patrick J.","contributorId":196313,"corporation":false,"usgs":false,"family":"Gasda","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":859645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":859646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cousin, A.","contributorId":290035,"corporation":false,"usgs":false,"family":"Cousin","given":"A.","affiliations":[{"id":62314,"text":"Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":859647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forni, O.","contributorId":290037,"corporation":false,"usgs":false,"family":"Forni","given":"O.","affiliations":[{"id":62314,"text":"Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":859648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clegg, S. M.","contributorId":300207,"corporation":false,"usgs":false,"family":"Clegg","given":"S.","email":"","middleInitial":"M.","affiliations":[{"id":27196,"text":"LANL","active":true,"usgs":false}],"preferred":false,"id":859649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ollila, A.","contributorId":290050,"corporation":false,"usgs":false,"family":"Ollila","given":"A.","affiliations":[{"id":62306,"text":"Space and Planetary Exploration Team, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":859650,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lanza, Nina L.","contributorId":140299,"corporation":false,"usgs":false,"family":"Lanza","given":"Nina","email":"","middleInitial":"L.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":859651,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lamm, S","contributorId":300208,"corporation":false,"usgs":false,"family":"Lamm","given":"S","email":"","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":859652,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":859653,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maurice, Sylvestre","contributorId":82626,"corporation":false,"usgs":false,"family":"Maurice","given":"Sylvestre","email":"","affiliations":[],"preferred":false,"id":859654,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gasnault, Olivier","contributorId":181501,"corporation":false,"usgs":false,"family":"Gasnault","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":859655,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Beal, R.","contributorId":290059,"corporation":false,"usgs":false,"family":"Beal","given":"R.","email":"","affiliations":[{"id":62306,"text":"Space and Planetary Exploration Team, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":859656,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Reyes-Newell, A.","contributorId":290113,"corporation":false,"usgs":false,"family":"Reyes-Newell","given":"A.","affiliations":[{"id":62306,"text":"Space and Planetary Exploration Team, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":859657,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Delapp, D.","contributorId":290074,"corporation":false,"usgs":false,"family":"Delapp","given":"D.","affiliations":[{"id":62306,"text":"Space and Planetary Exploration Team, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":859658,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70226461,"text":"70226461 - 2021 - Reptile and amphibian diversity and abundance in an urban landscape: Impacts of fragmentation and the conservation value of small patches","interactions":[],"lastModifiedDate":"2021-11-18T12:42:28.253092","indexId":"70226461","displayToPublicDate":"2021-05-31T06:40:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9341,"text":"Ichthyology & Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Reptile and amphibian diversity and abundance in an urban landscape: Impacts of fragmentation and the conservation value of small patches","docAbstract":"

Urbanization is a major contributor to habitat loss and fragmentation and is considered a global threat to biodiversity. We studied reptile and amphibian species diversity and abundance in a highly fragmented landscape adjacent to the second largest metropolitan area in the United States. Habitat patches in our study area were made up of remnant native vegetation surrounded by roads, housing, and other urban development. Species richness and diversity were positively associated with patch size, but patch age was not significantly associated with community characteristics. Four relatively common species were not detected in the small patches, indicating the possibility they had been extirpated by the time monitoring began, and six rarer species were not detected or detected only once in these patches. Although the patch size effect on species diversity was strong, we found that several of the small habitat patches had similar diversity to large patches, indicating potential value of these small habitat patches in protecting species as “microreserves.” In addition, one lizard species was found to be significantly more abundant in the smaller patches. To determine if abundance changed over time, we compared capture rates for four common lizards at the same sites ten years later. For three of the four species, abundance decreased over that period, specifically in the small patches. Although our long-term monitoring has confirmed that the full suite of herpetofauna is currently preserved in the study area overall, declines even in the common species over time hint at the potential severity of the threat of urbanization to rare species.

","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/h2019261","usgsCitation":"Delaney, K., Busteed, G., Fisher, R., and Riley, S.P., 2021, Reptile and amphibian diversity and abundance in an urban landscape: Impacts of fragmentation and the conservation value of small patches: Ichthyology & Herpetology, v. 109, no. 2, p. 424-435, https://doi.org/10.1643/h2019261.","productDescription":"12 p.","startPage":"424","endPage":"435","ipdsId":"IP-119087","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":391853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.970947265625,\n 33.65120829920497\n ],\n [\n -117.44384765625,\n 33.65120829920497\n ],\n [\n -117.44384765625,\n 34.279914398549934\n ],\n [\n -118.970947265625,\n 34.279914398549934\n ],\n [\n -118.970947265625,\n 33.65120829920497\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Delaney, Kathleen Semple","contributorId":269389,"corporation":false,"usgs":false,"family":"Delaney","given":"Kathleen Semple","affiliations":[{"id":55965,"text":"NPS - Santa Monica Mountains National Recreation Area","active":true,"usgs":false}],"preferred":false,"id":826994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Busteed, Gary","contributorId":269390,"corporation":false,"usgs":false,"family":"Busteed","given":"Gary","email":"","affiliations":[{"id":55965,"text":"NPS - Santa Monica Mountains National Recreation Area","active":true,"usgs":false}],"preferred":false,"id":826995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":826996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riley, Seth P.D.","contributorId":145429,"corporation":false,"usgs":false,"family":"Riley","given":"Seth","middleInitial":"P.D.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":826997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221053,"text":"70221053 - 2021 - Perfluoroalkyl substances in plasma of smallmouth bass from the Chesapeake Bay Watershed","interactions":[],"lastModifiedDate":"2021-07-02T13:32:14.906126","indexId":"70221053","displayToPublicDate":"2021-05-30T06:57:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2041,"text":"International Journal of Environmental Research and Public Health","active":true,"publicationSubtype":{"id":10}},"title":"Perfluoroalkyl substances in plasma of smallmouth bass from the Chesapeake Bay Watershed","docAbstract":"

Smallmouth bass Micropterus dolomieu is an economically important sportfish and within the Chesapeake Bay watershed has experienced a high prevalence of external lesions, infectious disease, mortality events, reproductive endocrine disruption and population declines. To date, no clear or consistent associations with contaminants measured in fish tissue or surface water have been found. Therefore, plasma samples from two sites in the Potomac River and two in the Susquehanna River drainage basins, differing in land-use characteristics, were utilized to determine if perfluoroalkyl substances were present. Four compounds, perfluorooctane sulphonic acid (PFOS), perfluoroundecanoic acid (PFUnA), perfluorodecanoic acid (PFDA) and perfluorododecanoic acid (PFDoA), were detected in every fish. Two additional compounds, perfluorooctane sulphonamide (PFOSA) and perfluorononanoic acid (PFNA), were less commonly detected at lower concentrations, depending on the site. Concentrations of PFOS (up to 574 ng/mL) were the highest detected and varied significantly among sites. No seasonal differences (spring versus fall) in plasma concentrations were observed. Concentrations of PFOS were not significantly different between the sexes. However, PFUnA and PFDoA concentrations were higher in males than females. Both agricultural and developed land-use appeared to be associated with exposure. Further research is needed to determine if these compounds could be affecting the health of smallmouth bass and identify sources.

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Center","active":true,"usgs":true}],"preferred":true,"id":816655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":true,"id":816656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220904,"text":"70220904 - 2021 - Surface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river","interactions":[],"lastModifiedDate":"2021-05-28T18:41:13.32766","indexId":"70220904","displayToPublicDate":"2021-05-28T13:36:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"Surface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river","docAbstract":"

Conventional, field-based streamflow monitoring in remote, inaccessible locations such as Alaska poses logistical challenges. Safety concerns, financial considerations, and a desire to expand water-observing networks make remote sensing an appealing alternative means of collecting hydrologic data. In an ongoing effort to develop non-contact methods for measuring river discharge, we evaluated the potential to estimate surface flow velocities from satellite video of a large, sediment-laden river in Alaska via particle image velocimetry (PIV). In this setting, naturally occurring sediment boil vortices produced distinct water surface features that could be tracked from frame to frame as they were advected by the flow, obviating the need to introduce artificial tracer particles. In this study, we refined an end-to-end workflow that involved stabilization and geo-referencing, image preprocessing, PIV analysis with an ensemble correlation algorithm, and post-processing of PIV output to filter outliers and scale and geo-reference velocity vectors. Applying these procedures to image sequences extracted from satellite video allowed us to produce high resolution surface velocity fields; field measurements of depth-averaged flow velocity were used to assess accuracy. Our results confirmed the importance of preprocessing images to enhance contrast and indicated that lower frame rates (e.g., 0.25 Hz) lead to more reliable velocity estimates because longer capture intervals allow more time for water surface features to translate several pixels between frames, given the relatively coarse spatial resolution of the satellite data. Although agreement between PIV-derived velocity estimates and field measurements was weak (R2 = 0.39) on a point-by-point basis, correspondence improved when the PIV output was aggregated to the cross-sectional scale. For example, the correspondence between cross-sectional maximum velocities inferred via remote sensing and measured in the field was much stronger (R2 = 0.76), suggesting that satellite video could play a role in measuring river discharge. Examining correlation matrices produced as an intermediate output of the PIV algorithm yielded insight on the interactions between image frame rate and sensor spatial resolution, which must be considered in tandem. Although further research and technological development are needed, measuring surface flow velocities from satellite video could become a viable tool for streamflow monitoring in certain fluvial environments.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2021.652213","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2021, Surface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river: Frontiers in Water, v. 3, 652213, 20 p., https://doi.org/10.3389/frwa.2021.652213.","productDescription":"652213, 20 p.","ipdsId":"IP-125455","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":452077,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2021.652213","text":"Publisher Index Page"},{"id":436332,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZY5LK1","text":"USGS data release","linkHelpText":"Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV)"},{"id":386020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Nenana","otherGeospatial":"Tanana River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.21218872070312,\n 64.53486288126804\n ],\n [\n -148.92929077148438,\n 64.53486288126804\n ],\n [\n -148.92929077148438,\n 64.61387025268262\n ],\n [\n -149.21218872070312,\n 64.61387025268262\n ],\n [\n -149.21218872070312,\n 64.53486288126804\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2021-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":816651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816652,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}