{"pageNumber":"523","pageRowStart":"13050","pageSize":"25","recordCount":184617,"records":[{"id":70219041,"text":"70219041 - 2021 - The smell of success: Reproductive success related to rub behavior in brown bears","interactions":[],"lastModifiedDate":"2021-03-22T11:40:45.060045","indexId":"70219041","displayToPublicDate":"2021-03-03T06:33:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7774,"text":"PLoSOne","active":true,"publicationSubtype":{"id":10}},"title":"The smell of success: Reproductive success related to rub behavior in brown bears","docAbstract":"<p><span>Several species of bears are known to rub deliberately against trees and other objects, but little is known about why bears rub. Patterns in rubbing behavior of male and female brown bears (</span><i>Ursus arctos</i><span>) suggest that scent marking via rubbing functions to communicate among potential mates or competitors. Using DNA from bear hairs collected from rub objects in southwestern Alberta from 2011–2014 and existing DNA datasets from Montana and southeastern British Columbia, we determined sex and individual identity of each bear detected. Using these data, we completed a parentage analysis. From the parentage analysis and detection data, we determined the number of offspring, mates, unique rub objects where an individual was detected, and sampling occasions during which an individual was detected for each brown bear identified through our sampling methods. Using a Poisson regression, we found a positive relationship between bear rubbing behavior and reproductive success; both male and female bears with a greater number of mates and a greater number of offspring were detected at more rub objects and during more occasions. Our results suggest a fitness component to bear rubbing, indicate that rubbing is adaptive, and provide insight into a poorly understood behaviour.</span></p>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0247964","usgsCitation":"Morehouse, A.T., Loosen, A.E., Graves, T., and Boyce, M.S., 2021, The smell of success: Reproductive success related to rub behavior in brown bears: PLoSOne, v. 16, no. 3, e0247964, 15 p., https://doi.org/10.1371/journal.pone.0247964.","productDescription":"e0247964, 15 p.","ipdsId":"IP-103408","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":453246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0247964","text":"Publisher Index Page"},{"id":384524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"Wyoming, Montana, British Columbia, Alberta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.3447265625,\n              48.22467264956519\n            ],\n            [\n              -113.4228515625,\n              48.22467264956519\n            ],\n            [\n              -113.4228515625,\n              50.93073802371819\n            ],\n            [\n              -118.3447265625,\n              50.93073802371819\n            ],\n            [\n              -118.3447265625,\n              48.22467264956519\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Morehouse, Andrea T. 0000-0002-2015-9938","orcid":"https://orcid.org/0000-0002-2015-9938","contributorId":182510,"corporation":false,"usgs":false,"family":"Morehouse","given":"Andrea","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":812538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loosen, Anne E.","contributorId":194655,"corporation":false,"usgs":false,"family":"Loosen","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":812539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":812540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyce, Mark S.","contributorId":113205,"corporation":false,"usgs":false,"family":"Boyce","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":812541,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70218636,"text":"sir20215010 - 2021 - Groundwater management process simulations using an updated version of the three-dimensional numerical model of groundwater flow in northern Utah Valley, Utah County, Utah","interactions":[],"lastModifiedDate":"2021-04-08T21:43:33.834314","indexId":"sir20215010","displayToPublicDate":"2021-03-02T20:39:28","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5010","displayTitle":"Groundwater Management Process Simulations Using an Updated Version of the Three-Dimensional Numerical Model of Groundwater Flow in Northern Utah Valley, Utah County, Utah","title":"Groundwater management process simulations using an updated version of the three-dimensional numerical model of groundwater flow in northern Utah Valley, Utah County, Utah","docAbstract":"<p>Groundwater is a primary source of drinking water in northern Utah County. The groundwater system is recharged mainly from precipitation in the adjacent Wasatch Mountains and infiltration of streamflow. In 2004, groundwater withdrawals were estimated to be roughly 44,500 acre-feet per year. In 2016, groundwater withdrawals were estimated to be greater than 63,400 acre-feet per year. To prepare for anticipated future increases in groundwater withdrawals, local cities identified 16 locations as feasible for managed aquifer recharge. Using an updated version of an existing U.S. Geological Survey groundwater flow model of northern Utah County, the Groundwater-Management Process for MODFLOW-2005 was used to investigate optimal managed aquifer recharge scenarios with the objective of maintaining acceptable reductions in simulated discharge at 12 groundwater discharge areas and flowing wells along Utah Lake.</p><p>The Groundwater-Management Process is applied to a 50-year (2017–66) projection of groundwater conditions using average recharge conditions and a linear increase of approximately 750 acre-feet per year of municipal groundwater withdrawals. Two sets of discharge constraints were applied. The first scenario constrains discharge to greater than or equal to 80 percent of the 2016 simulated groundwater discharge along Utah Lake. The constraint was met with a total managed aquifer recharge rate of roughly 7,300 acre-feet per year during 2042–56, and 15,600 acre-feet per year during 2057–66. A second scenario constrains discharge to greater than or equal to 90 percent of the 2016 simulated discharge. This constraint can only be met at 8 of the 12 discharge areas along Utah Lake. This required a managed aquifer recharge rate of roughly 10,000 acre-feet per year during 2042–56 and 15,400 acre-feet per year during 2057–66. For both scenarios, the Groundwater-Management Process indicated that all managed aquifer recharge sites need to be used to meet discharges constraints. The discharge constraints were informally defined on the basis of the water rights hierarchy associated with Utah Lake.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215010","collaboration":"Prepared in cooperation with the North Utah County Aquifer Council","usgsCitation":"Stolp, B.J., and Brooks, L.E., 2021, Groundwater management process simulations using an updated version of the three-dimensional numerical model of groundwater flow in northern Utah Valley, Utah County, Utah: U.S. Geological Survey Scientific Investigations Report 2021–5010, 28 p., https://doi.org/10.3133/sir20215010.","productDescription":"vi, 28 p","numberOfPages":"28","ipdsId":"IP-119330","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":383759,"rank":4,"type":{"id":31,"text":"Publication 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href=\"mailto:dc_ut@usgs.gov\" data-mce-href=\"mailto:dc_ut@usgs.gov\">Director</a>,<br><a href=\"https://ut.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ut.water.usgs.gov\">Utah Water Science Center</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>2329 West Orton Circle<br>Salt Lake City, Utah 84119-2047</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Updated Model</li><li>Assessment of the Updated Model</li><li>Prediction of Future Conditions</li><li>Future Monitoring</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-03-02","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Stolp, Bernard J. 0000-0003-3803-1497 bjstolp@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":963,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard","email":"bjstolp@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811228,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221790,"text":"70221790 - 2021 - An increase in the slope of the concentration-discharge relation for total organic carbon in major rivers in New England, 1973 to 2019","interactions":[],"lastModifiedDate":"2021-07-07T00:53:13.702864","indexId":"70221790","displayToPublicDate":"2021-03-02T19:50:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"An increase in the slope of the concentration-discharge relation for total organic carbon in major rivers in New England, 1973 to 2019","docAbstract":"<p><span>The mobilization and transport of&nbsp;<a class=\"topic-link\" title=\"Learn more about organic carbon from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/organic-carbon\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/organic-carbon\">organic carbon</a>&nbsp;(OC) in rivers and delivery to the near-coastal ocean are important processes in the carbon cycle that are affected by both climate and anthropogenic activities. Riverine OC transport can affect carbon sequestration, contaminant transport,&nbsp;<a class=\"topic-link\" title=\"Learn more about ocean acidification from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/ocean-acidification\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/ocean-acidification\">ocean acidification</a>, the formation of toxic disinfection by-products, ocean temperature and phytoplankton productivity. There have been many studies reporting temporal trends in OC concentrations in comparatively small streams with minimal anthropogenic influences but there have been fewer studies on larger rivers and fewer still that have investigated changes in OC concentration-discharge (C-Q) relations. This study examined changes in C-Q relations for&nbsp;</span><a class=\"topic-link\" title=\"Learn more about total organic carbon from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/total-organic-carbon\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/total-organic-carbon\">total organic carbon</a><span>&nbsp;(TOC) from 1973 to 2019 in 8 rivers in New England, USA. TOC concentrations declined in all rivers, and in most rivers, and in most seasons, the slope of the C-Q relation increased between 1973 to 1995 and 1996 to 2019. The increase in C-Q slope between periods may be related to changes in the magnitude of TOC sources. The most likely sources to have changed are wastewater inputs, urban runoff, production through photosynthesis in aquatic systems, and runoff from agricultural and forestry practices. Changes in wetland abundance and changes in sulfate concentrations can be ruled out as drivers of the observed changes in C-Q.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.146149","usgsCitation":"Huntington, T., and Wieczorek, M., 2021, An increase in the slope of the concentration-discharge relation for total organic carbon in major rivers in New England, 1973 to 2019: Science of the Total Environment, v. 778, 146149, 17 p., https://doi.org/10.1016/j.scitotenv.2021.146149.","productDescription":"146149, 17 p.","ipdsId":"IP-119390","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":453249,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.146149","text":"Publisher Index Page"},{"id":436479,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OUOFYV","text":"USGS data release","linkHelpText":"Streamflow input datasets and model results using the Weighted Regressions on Time, Discharge, and Season (WRTDS) Models to estimate total organic carbon and other constituent concentrations in eight rivers in Connecticut, water years 1973 to 2019"},{"id":386981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-71.799242,42.008065],[-71.797922,41.935395],[-71.797649,41.928556],[-71.794161,41.841101],[-71.794161,41.840141],[-71.792786,41.80867],[-71.792767,41.807001],[-71.791062,41.770273],[-71.789678,41.724734],[-71.789672,41.724569],[-71.786994,41.655992],[-71.787637,41.639917],[-71.789356,41.59691],[-71.789359,41.596852],[-71.797683,41.416709],[-71.81839,41.419599],[-71.839649,41.412119],[-71.842563,41.409855],[-71.843472,41.40583],[-71.842131,41.395359],[-71.833443,41.384524],[-71.831613,41.370899],[-71.837738,41.363529],[-71.835951,41.353935],[-71.829595,41.344544],[-71.839013,41.334042],[-71.860513,41.320248],[-71.859566,41.3224],[-71.868235,41.330941],[-71.886302,41.33641],[-71.91671,41.332217],[-71.922092,41.334518],[-71.923282,41.335113],[-71.936284,41.337959],[-71.945652,41.337799],[-71.956747,41.329871],[-71.970955,41.324526],[-71.979447,41.329987],[-71.982194,41.329861],[-71.988153,41.320577],[-72.021898,41.316838],[-72.084487,41.319634],[-72.094443,41.314164],[-72.09982,41.306998],[-72.11182,41.299098],[-72.134221,41.299398],[-72.16158,41.310262],[-72.173922,41.317597],[-72.177622,41.322497],[-72.184122,41.323997],[-72.191022,41.323197],[-72.201422,41.315697],[-72.203022,41.313197],[-72.204022,41.299097],[-72.212924,41.291365],[-72.225276,41.299047],[-72.235531,41.300413],[-72.248161,41.299488],[-72.251895,41.29862],[-72.250515,41.294386],[-72.251323,41.289997],[-72.261487,41.282926],[-72.31776,41.277782],[-72.327595,41.27846],[-72.333894,41.282916],[-72.34146,41.28011],[-72.348643,41.277446],[-72.348068,41.269698],[-72.386629,41.261798],[-72.398688,41.278172],[-72.40593,41.278398],[-72.451925,41.278885],[-72.472539,41.270103],[-72.485693,41.270881],[-72.499534,41.265866],[-72.506634,41.260099],[-72.51866,41.261253],[-72.521312,41.2656],[-72.529416,41.264421],[-72.533247,41.26269],[-72.536746,41.256207],[-72.537776,41.255646],[-72.546833,41.250718],[-72.547235,41.250499],[-72.570655,41.267744],[-72.571076,41.268054],[-72.571136,41.268098],[-72.583336,41.271698],[-72.585181,41.271321],[-72.585934,41.271168],[-72.586674,41.271017],[-72.587926,41.270761],[-72.589818,41.270375],[-72.590967,41.270141],[-72.598036,41.268698],[-72.607863,41.270387],[-72.610236,41.270795],[-72.617237,41.271998],[-72.617521,41.27194],[-72.617983,41.271845],[-72.631363,41.269092],[-72.641001,41.267108],[-72.641538,41.266998],[-72.642811,41.266884],[-72.650697,41.266178],[-72.653838,41.265897],[-72.653931,41.265931],[-72.654715,41.266219],[-72.662203,41.268964],[-72.662838,41.269197],[-72.667176,41.268192],[-72.671673,41.267151],[-72.672339,41.266997],[-72.674319,41.26552],[-72.684939,41.257597],[-72.685414,41.252607],[-72.685539,41.251297],[-72.689446,41.247629],[-72.690237,41.246887],[-72.690439,41.246697],[-72.693441,41.245493],[-72.694744,41.24497],[-72.69547,41.244948],[-72.701806,41.244752],[-72.706236,41.244615],[-72.707212,41.244585],[-72.708658,41.24454],[-72.708963,41.24453],[-72.709193,41.244523],[-72.710595,41.24448],[-72.710821,41.244812],[-72.713674,41.249007],[-72.711208,41.251018],[-72.71246,41.254167],[-72.722439,41.259138],[-72.732813,41.254727],[-72.754444,41.266913],[-72.757477,41.266913],[-72.786142,41.264796],[-72.818737,41.252244],[-72.819372,41.254061],[-72.826883,41.256755],[-72.847767,41.25669],[-72.85021,41.255544],[-72.854055,41.24774],[-72.861344,41.245297],[-72.881445,41.242597],[-72.895445,41.243697],[-72.900803,41.245864],[-72.904345,41.247297],[-72.905245,41.248297],[-72.903045,41.252797],[-72.902808,41.252894],[-72.894745,41.256197],[-72.89473,41.25626],[-72.893845,41.259897],[-72.89637,41.263949],[-72.903129,41.274794],[-72.907962,41.282549],[-72.9082,41.282932],[-72.916827,41.282033],[-72.917037,41.281905],[-72.920062,41.280056],[-72.920658,41.271574],[-72.920714,41.27078],[-72.920846,41.268897],[-72.931887,41.261139],[-72.933472,41.260024],[-72.935646,41.258497],[-72.956984,41.25292],[-72.959633,41.252228],[-72.961345,41.25178],[-72.962047,41.251597],[-72.983751,41.235364],[-72.985095,41.234358],[-72.986247,41.233497],[-72.997948,41.222697],[-73.003639,41.215287],[-73.007548,41.210197],[-73.013465,41.205479],[-73.013988,41.205062],[-73.014948,41.204297],[-73.020149,41.204097],[-73.020167,41.204237],[-73.020195,41.204446],[-73.02021,41.204568],[-73.020254,41.204906],[-73.020449,41.206397],[-73.022549,41.207197],[-73.024783,41.207435],[-73.045602,41.209658],[-73.05065,41.210197],[-73.054947,41.208468],[-73.05935,41.206697],[-73.07761,41.195176],[-73.07945,41.194015],[-73.09122,41.184153],[-73.092,41.1835],[-73.092147,41.183377],[-73.104328,41.17317],[-73.105483,41.172203],[-73.105493,41.172194],[-73.107987,41.168738],[-73.110352,41.159697],[-73.109952,41.156997],[-73.108352,41.153718],[-73.111052,41.150797],[-73.130253,41.146797],[-73.16437,41.158565],[-73.170074,41.160532],[-73.170701,41.164945],[-73.177774,41.166697],[-73.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 \"}}]}","volume":"778","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":218737,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wieczorek, Michael 0000-0003-0999-5457","orcid":"https://orcid.org/0000-0003-0999-5457","contributorId":207911,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":818726,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70218260,"text":"ofr20201152 - 2021 - Spatial variation in population dynamics of northern Great Plains piping plovers","interactions":[],"lastModifiedDate":"2021-03-03T12:54:46.424713","indexId":"ofr20201152","displayToPublicDate":"2021-03-02T15:55:14","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1152","displayTitle":"Spatial Variation in Population Dynamics of Northern Great Plains Piping Plovers","title":"Spatial variation in population dynamics of northern Great Plains piping plovers","docAbstract":"<p>Metapopulation dynamics are determined not only by within-patch birth and death processes but also by between-patch movements of individuals (emigration and immigration). To conserve and manage a species that has a metapopulation structure, defined by local populations that are distributed among patches of suitable habitat, we need to understand each of these vital rates. For the federally listed northern Great Plains <i>Charadrius melodus</i> (Ord, 1824) (piping plover), managers assumed a metapopulation structure consisting of four breeding groups with low, balanced dispersal, which resulted in low extinction risk in a simulation-based viability study. The degree to which the northern Great Plains piping plover breeding population functions as a metapopulation depends on the rate of movement amongst breeding areas. Sources of variation in survival, dispersal probabilities, and dispersal distances were examined for hatch-year and adult piping plovers breeding in the northern Great Plains from 2014 to 2019 focusing on four management units (U.S. Alkali Wetlands, Lake Sakakawea, Garrison Reach of the Missouri River, and Lake Oahe). Additionally, renesting probabilities, renest reproductive success, and reproductive output were investigated from 2014 to 2016 in each of these areas to understand within-patch productivity. This report includes two major sections: (1) a presentation that includes the context, results, and implications of the study, followed by a detailed text methodology, and (2) an appendix that provides synthesized estimates of piping plover vital rates from throughout their range. River and alkali wetland habitats seem to be of higher quality than reservoir habitats, although alkali wetland habitats have lower annual survival, lower reproductive output, and lower fidelity probabilities than riverine habitats. Habitat availability drove dispersal probabilities and dispersal distances for hatch-year and adult piping plovers. Renesting propensity and renest reproductive success were generally low, suggesting that renesting is an uncommon and unproductive strategy to replace most lost reproductive attempts. Estimates indicated high connectivity between the U.S. Alkali Wetlands and the northern river units (Lake Sakakawea, Garrison Reach, Lake Oahe) of the Missouri River, suggesting that the assumed metapopulation structure and population viability may need to be reassessed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201152","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers and U.S. Fish and Wildlife Service","usgsCitation":"Swift, R.J., Anteau, M.J., Ellis, K.S., Ring, M.M., Sherfy, M.H., Toy, D.L., and Koons, D.N., 2021, Spatial variation in population dynamics of northern Great Plains piping plovers: U.S. Geological Survey Open-File Report 2020–1152, 211 p., https://doi.org/10.3133/ofr20201152.","productDescription":"Report: vii, 211 p.; 2 Data Releases","numberOfPages":"223","onlineOnly":"Y","ipdsId":"IP-124226","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":383503,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96PSOBQ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Spatial variation in population dynamics of Northern Great Plains piping plovers, 2014–2019"},{"id":383502,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VAS8P7","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Renesting propensity, intervals, and reproductive success data for the Northern Great Plains Piping Plover, a threatened shorebird species 2014–2016"},{"id":383501,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1152/ofr20201152.pdf","text":"Report","size":"39.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1152"},{"id":383500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1152/coverthb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Northern Great Plains Piping Plovers","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.26171875,\n              43.197167282501276\n            ],\n            [\n              -98.8330078125,\n              43.67581809328341\n            ],\n            [\n              -99.31640625,\n              44.465151013519616\n            ],\n            [\n              -99.7998046875,\n              44.77793589631623\n            ],\n            [\n              -99.97558593749999,\n              46.042735653846506\n            ],\n            [\n              -99.97558593749999,\n              46.92025531537451\n            ],\n            [\n              -101.0302734375,\n              48.019324184801185\n            ],\n            [\n              -102.6123046875,\n              48.3416461723746\n            ],\n            [\n              -104.501953125,\n              48.8936153614802\n            ],\n            [\n              -105.029296875,\n              48.63290858589535\n            ],\n            [\n              -104.853515625,\n              47.989921667414194\n            ],\n            [\n              -103.798828125,\n              47.517200697839414\n            ],\n            [\n              -102.5244140625,\n              47.12995075666307\n            ],\n            [\n              -101.90917968749999,\n              46.619261036171515\n            ],\n            [\n              -101.25,\n              45.73685954736049\n            ],\n            [\n              -101.25,\n              44.43377984606822\n            ],\n            [\n              -101.0302734375,\n              43.51668853502906\n            ],\n            [\n              -100.1513671875,\n              43.100982876188546\n            ],\n            [\n              -99.2724609375,\n              42.8115217450979\n            ],\n            [\n              -98.0419921875,\n              42.97250158602597\n            ],\n            [\n              -98.26171875,\n              43.197167282501276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/npwrc\" href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a> <br>U.S. Geological Survey<br>8711 37th Street Southeast <br>Jamestown, ND</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Objectives</li><li>Presentation Slides</li><li>Study Species</li><li>Study Areas</li><li>Field Methods</li><li>Data Analysis</li><li>References Cited</li><li>Appendix 1. Summary of Piping Plover Demographic Rates</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-03-02","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":810759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":810760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Kristen S. 0000-0003-2759-3670","orcid":"https://orcid.org/0000-0003-2759-3670","contributorId":251877,"corporation":false,"usgs":true,"family":"Ellis","given":"Kristen","email":"","middleInitial":"S.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":810761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ring, Megan M. 0000-0001-8331-8492 mring@usgs.gov","orcid":"https://orcid.org/0000-0001-8331-8492","contributorId":5149,"corporation":false,"usgs":true,"family":"Ring","given":"Megan","email":"mring@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":810762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":810763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toy, Dustin L. 0000-0001-5390-5784 dtoy@usgs.gov","orcid":"https://orcid.org/0000-0001-5390-5784","contributorId":5150,"corporation":false,"usgs":true,"family":"Toy","given":"Dustin","email":"dtoy@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":810764,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":810765,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70218244,"text":"tm9A6.4 - 2021 - Chapter A6.4. Measurement of pH","interactions":[{"subject":{"id":80047,"text":"twri09A6.4 - 2008 - Chapter A6. Section 6.4. pH","indexId":"twri09A6.4","publicationYear":"2008","noYear":false,"title":"Chapter A6. Section 6.4. pH"},"predicate":"SUPERSEDED_BY","object":{"id":70218244,"text":"tm9A6.4 - 2021 - Chapter A6.4. Measurement of pH","indexId":"tm9A6.4","publicationYear":"2021","noYear":false,"title":"Chapter A6.4. Measurement of pH"},"id":1}],"lastModifiedDate":"2021-03-02T16:39:27.505147","indexId":"tm9A6.4","displayToPublicDate":"2021-03-02T11:55:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"9-A6.4","displayTitle":"Chapter A6.4. Measurement of pH","title":"Chapter A6.4. Measurement of pH","docAbstract":"<p>The “National Field Manual for the Collection of Water-Quality Data” (NFM) provides guidelines and procedures for U.S. Geological Survey (USGS) personnel who collect data used to assess the quality of the Nation’s surface-water and groundwater resources. This chapter, NFM A6.4, provides guidance and protocols for the measurement of pH of a water sample, which include the scientific basis of the measurement, selection and maintenance of equipment, calibration, procedures for measurement and reporting, and troubleshooting. It updates and supersedes USGS Techniques of Water-Resources Investigations, book 9, chapter A6.4, version 2.0, by G.F. Ritz and J.A. Collins. The pH of natural waters is routinely measured when water samples are collected, is often measured continually at USGS streamgages, and is a parameter regularly measured during laboratory and field experiments. The field methods for measuring pH described in this chapter are applicable to most natural waters.</p><p>Before 2017, the NFM chapters were released in the USGS Techniques of Water-Resources Investigations series. Effective in 2018, new and revised NFM chapters are being released in the USGS Techniques and Methods series; this series change does not affect the content and format of the NFM. More information is in the general introduction to the NFM (USGS Techniques and Methods, book 9, chapter A0) at <a href=\"https://doi.org/10.3133/tm9A0\" data-mce-href=\"https://doi.org/10.3133/tm9A0\">https://doi.org/10.3133/tm9A0</a>. The authoritative current versions of NFM chapters are available in the USGS Publications Warehouse at <a href=\"../\" data-mce-href=\"../\">https://pubs.er.usgs.gov/</a>. Comments, questions, and suggestions related to the NFM can be addressed to <a href=\"mailto:nfm@usgs.gov\" data-mce-href=\"mailto:nfm@usgs.gov\">nfm@usgs.gov</a>.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: National field manual for the collection of water-quality data in Book 9: Handbooks for water-resources investigations","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm9A6.4","usgsCitation":"U. S. Geological Survey, 2021, Chapter A6.4. Measurement of pH: U.S. Geological Survey Techniques and Methods 9-A6.4, vi, 21 p., https://doi.org/10.3133/tm9A6.4.","productDescription":"vi, 21 p.","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-083295","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":383369,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/09/a6.4/versionHist.txt","size":"2.43 KB","linkFileType":{"id":2,"text":"txt"}},{"id":383368,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/tm9A0","text":"Techniques and Methods 9-A0","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":383364,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/09/a6.4/coverthb.jpg"},{"id":383365,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/09/a6.4/tm9a6.4.pdf","text":"Report","size":"2.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 9-A6.4"}],"publicComments":"Techniques and Methods 9-A6.4 supersedes Techniques of Water-Resources Investigations 09-A6.4, version 2.0.","contact":"<p>Director, Observing Systems Division<br><a href=\"https://www.usgs.gov/mission-areas/water-resources\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\">Water Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS 432<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>1.0 Introduction</li><li>2.0 Equipment and Supplies</li><li>3.0 Maintenance and Preparation of pH Instruments</li><li>4.0 Calibration of the pH Instrument System</li><li>5.0 Measurement of pH</li><li>6.0 Quality Assurance/Quality Control for Measurements of pH</li><li>7.0 Reporting</li><li>8.0 Troubleshooting</li><li>Acknowledgments</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"revisedDate":"2021-02-22","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"U. S. Geological Survey","contributorId":247800,"corporation":true,"usgs":false,"organization":"U. S. Geological Survey","id":810619,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70223895,"text":"70223895 - 2021 - The role of the Next Generation Lunar Scientists and Engineers (NextGen) group in lunar science and exploration","interactions":[],"lastModifiedDate":"2021-09-14T11:38:15.135228","indexId":"70223895","displayToPublicDate":"2021-03-02T09:35:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9343,"text":"Bulletin of the AAS","active":true,"publicationSubtype":{"id":10}},"title":"The role of the Next Generation Lunar Scientists and Engineers (NextGen) group in lunar science and exploration","docAbstract":"<p id=\"nbedkgz5q4s\" data-pm-slice=\"1 1 []\">Founded in 2008, the Next Generation Lunar Scientists and Engineers (NextGen) is a group of students and early career professionals who have a vision and passion for lunar science and exploration. NextGen organizes professional development opportunities through workshops and networking events that are designed to provide resources and training for scientists and engineers so that they are prepared to lead international lunar science and exploration programs. NextGen also provides a network of professional support and opportunities for the younger generation to lead in the field and to learn from more experienced generations of lunar scientists and engineers. Members of NextGen are actively engaged in scientific research, mission formulation/execution, community outreach, and professional activities. With the United States on the brink of a new era of lunar exploration, and many international space agencies preparing to send spacecraft to the Moon, NASA and the lunar community have recognized the importance of training and nurturing the next generation of lunar scientists and engineers. As the future workforce, it is imperative that students and early career professionals receive continued and increased support from NASA, industry, and the lunar community as a whole.</p>","language":"English","publisher":"American Astronomical Society","doi":"10.3847/25c2cfeb.9a3e0c6a","usgsCitation":"Watkins, R., Ostrach, L.R., Valencia, S., Stadermann, A., Bleacher, L., Petro, N.E., Caswell, T., Fagan, A., Jawin, E., Meyer, H., Phillips, D., O’Brien, H., and Next Generation Lunar Scientists and Engineers Group, 2021, The role of the Next Generation Lunar Scientists and Engineers (NextGen) group in lunar science and exploration: Bulletin of the AAS, v. 53, no. 2, 33 p., https://doi.org/10.3847/25c2cfeb.9a3e0c6a.","productDescription":"33 p.","ipdsId":"IP-100499","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":453250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/25c2cfeb.9a3e0c6a","text":"Publisher Index Page"},{"id":389151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Watkins, Ryan","contributorId":238477,"corporation":false,"usgs":false,"family":"Watkins","given":"Ryan","email":"","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":823165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":823166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valencia, Sarah","contributorId":238496,"corporation":false,"usgs":false,"family":"Valencia","given":"Sarah","email":"","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":823167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stadermann, Amanda","contributorId":265656,"corporation":false,"usgs":false,"family":"Stadermann","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":823168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bleacher, Lora","contributorId":265657,"corporation":false,"usgs":false,"family":"Bleacher","given":"Lora","email":"","affiliations":[],"preferred":false,"id":823169,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Petro, Noah E.","contributorId":193909,"corporation":false,"usgs":false,"family":"Petro","given":"Noah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":823170,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caswell, Tess","contributorId":265658,"corporation":false,"usgs":false,"family":"Caswell","given":"Tess","email":"","affiliations":[],"preferred":false,"id":823171,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fagan, Amy","contributorId":265659,"corporation":false,"usgs":false,"family":"Fagan","given":"Amy","email":"","affiliations":[],"preferred":false,"id":823172,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jawin, Erica","contributorId":149242,"corporation":false,"usgs":false,"family":"Jawin","given":"Erica","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":823173,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meyer, Heather","contributorId":238502,"corporation":false,"usgs":false,"family":"Meyer","given":"Heather","email":"","affiliations":[{"id":18878,"text":"The Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":823174,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Phillips, Deanna","contributorId":237941,"corporation":false,"usgs":false,"family":"Phillips","given":"Deanna","email":"","affiliations":[{"id":47651,"text":"UAH","active":true,"usgs":false}],"preferred":false,"id":823175,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"O’Brien, Hannah","contributorId":265660,"corporation":false,"usgs":false,"family":"O’Brien","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":823176,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Next Generation Lunar Scientists and Engineers Group","contributorId":265661,"corporation":true,"usgs":false,"organization":"Next Generation Lunar Scientists and Engineers Group","id":823177,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70218462,"text":"tm2D4 - 2021 - Procedures for field data collection, processing, quality assurance and quality control, and archiving of relative- and absolute-gravity surveys","interactions":[],"lastModifiedDate":"2021-03-03T12:46:02.422101","indexId":"tm2D4","displayToPublicDate":"2021-03-02T08:20:17","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-D4","displayTitle":"Procedures for Field Data Collection, Processing, Quality Assurance and Quality Control, and Archiving of Relative- and Absolute-Gravity Surveys","title":"Procedures for field data collection, processing, quality assurance and quality control, and archiving of relative- and absolute-gravity surveys","docAbstract":"<p>Repeat microgravity surveys carried out using relative- and absolute-gravity meters are useful for identifying changes in subsurface mass, such as the volume of water stored in an aquifer. These surveys require careful field procedures to achieve the part-per-billion accuracy required to measure the small changes in gravity relevant for hydrologic studies. This chapter describes techniques and methods for carrying out gravity surveys, requirements for assuring high-quality survey results, and data processing and archival procedures. The focus is on acquiring and documenting repeat gravity surveys for monitoring changes in groundwater storage. Similar gravity surveys may be completed to evaluate other causes of mass change, such as those caused by magma movement below volcanoes. The methods are also useful for one-time surveys that map spatial gravity variations associated with geologic structures such as faults or sedimentary basins.</p><p>Repeat microgravity surveys can be carried out using relative-gravity meters, absolute-gravity meters, or both. Specific locations, known as gravity stations, are visited during each survey. Most commonly, absolute- and relative-gravity are combined using the least-squares method of network adjustment, much like benchmark elevations and relative-height differences in a leveling network. This chapter primarily describes the use of the A-10 absolute-gravity meter manufactured by Micro-g LaCoste, Inc., and relative-gravity meters made by LaCoste &amp; Romberg (no longer in production) and ZLS Corporation, Inc. Field and office procedures are similar for other instruments such as the FG-5 absolute-gravity meter and Scintrex relative-gravity meters, but some adaptation may be required. Quality control for absolute-gravity data focuses primarily on proper field procedures and maintaining the time and distance calibration of the instrument. Quality control for relative-gravity surveys requires careful field procedures, an understanding of how the meter is behaving while in the field, and appropriate postprocessing.</p><p>The techniques and methods described in this chapter were developed over 30 years at the USGS Arizona Water Science Center and the Southwest Gravity Program and are the basis for many studies on groundwater-storage change and geologic structure. A description of the Program and complete bibliography is available at <a data-mce-href=\"https://www.usgs.gov/centers/az-water/science/azwsc-capabilities-hydrologic-gravity-monitoring\" href=\"https://www.usgs.gov/centers/az-water/science/azwsc-capabilities-hydrologic-gravity-monitoring\" target=\"_blank\" rel=\"noopener\">https://www.usgs.gov/centers/az-water/science/azwsc-capabilities-hydrologic-gravity-monitoring</a>.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2D4","usgsCitation":"Kennedy, J.R., Pool, D.R., and Carruth, R.L., 2021, Procedures for field data collection, processing, quality assurance and quality control, and archiving of relative- and absolute-gravity surveys: U.S. Geological Survey Techniques and Methods, book 2, chap. D4, 50 p., https://doi.org/10.3133/tm2D4.","productDescription":"Report: vi, 50 p., 2 Software Releases","numberOfPages":"50","ipdsId":"IP-080752","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":383655,"rank":4,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9DDGIS7","linkHelpText":"- Gravity Data Spreadsheets"},{"id":383654,"rank":3,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9YEIOU8","linkHelpText":"- GSadjust v1.0"},{"id":383652,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/d04/covrthb.jpg"},{"id":383653,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/d04/tm2d4.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"<p><a href=\"mailto:dc_az@usgs.gov\" data-mce-href=\"mailto:dc_az@usgs.gov\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/az-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/az-water\">Arizona Water Science Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<ul><li>Introduction</li><li>Purpose and Scope</li><li>Principles of Precise Repeat Microgravity Surveys</li><li>Relative-Gravity Data Collection</li><li>Absolute-Gravity Data Collection</li><li>Survey Postprocessing</li><li>Data Releases</li><li>Gravity Stations</li><li>Summary</li><li>References</li><li>Glossary</li><li>Appendix 1. Relative-Gravity Meter Principles and Specifications</li><li>Appendix 2. The Gravity Data Spreadsheet</li><li>Appendix 3. GSadjust Software for Postprocessing and Network Adjustment</li><li>Appendix 4. Example Site Descriptions</li><li>Appendix 5. Field Forms and Checklists Collaborators</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-03-02","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pool, Donald R. drpool@usgs.gov","contributorId":1121,"corporation":false,"usgs":true,"family":"Pool","given":"Donald","email":"drpool@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carruth, Robert L. 0000-0001-7008-2927 rlcarr@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-2927","contributorId":194394,"corporation":false,"usgs":true,"family":"Carruth","given":"Robert","email":"rlcarr@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811014,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70219425,"text":"70219425 - 2021 - Exploring biophysical linkages between coastal forestry management practices and aquatic bivalve contaminant exposure","interactions":[],"lastModifiedDate":"2021-04-05T13:20:41.514849","indexId":"70219425","displayToPublicDate":"2021-03-02T08:16:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7597,"text":"Toxics","active":true,"publicationSubtype":{"id":10}},"title":"Exploring biophysical linkages between coastal forestry management practices and aquatic bivalve contaminant exposure","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Terrestrial land use activities present cross-ecosystem threats to riverine and marine species and processes. Specifically, pesticide runoff can disrupt hormonal, reproductive, and developmental processes in aquatic organisms, yet non-point source pollution is difficult to trace and quantify. In Oregon, U.S.A., state and federal forestry pesticide regulations, designed to meet regulatory water quality requirements, differ in buffer size and pesticide applications. We deployed passive water samplers and collected riverine and estuarine bivalves<span>&nbsp;</span><span class=\"html-italic\">Margaritifera falcata</span>,<span>&nbsp;</span><span class=\"html-italic\">Mya arenaria</span>, and<span>&nbsp;</span><span class=\"html-italic\">Crassostrea gigas</span><span>&nbsp;</span>from Oregon Coast watersheds to examine forestry-specific pesticide contamination. We used non-metric multidimensional scaling and regression to relate concentrations and types of pesticide contamination across watersheds to ownership and management metrics. In bivalve samples collected from eight coastal watersheds, we measured twelve unique pesticides (two herbicides; three fungicides; and seven insecticides). Pesticides were detected in 38% of bivalve samples; and frequency and maximum concentrations varied by season, species, and watershed with indaziflam (herbicide) the only current-use forestry pesticide detected. Using passive water samplers, we measured four current-use herbicides corresponding with planned herbicide applications; hexazinone and atrazine were most frequently detected. Details about types and levels of exposure provide insight into effectiveness of current forest management practices in controlling transport of forest-use pesticides.<span>&nbsp;</span><a onclick=\"if (!window.__cfRLUnblockHandlers) return false; ga('send', 'pageview', $(this).attr('href'));\" href=\"https://www.mdpi.com/2305-6304/9/3/46/htm\" data-mce-href=\"https://www.mdpi.com/2305-6304/9/3/46/htm\">View Full-Text</a></div>","language":"English","publisher":"MDPI Publishing","doi":"10.3390/toxics9030046","usgsCitation":"Scully-Engelmeyer, K., Granek, E.F., Nielsen-Pincus, M., Lanier, A., Rumrill, S.S., Moran, P.W., Nilsen, E., Hladik, M.L., and Pillsbury, L., 2021, Exploring biophysical linkages between coastal forestry management practices and aquatic bivalve contaminant exposure: Toxics, v. 9, no. 3, 46, 25 p., https://doi.org/10.3390/toxics9030046.","productDescription":"46, 25 p.","ipdsId":"IP-127182","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":453253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/toxics9030046","text":"Publisher Index Page"},{"id":384870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.21093749999999,\n              41.934976500546604\n            ],\n            [\n              -120.5419921875,\n              41.934976500546604\n            ],\n            [\n              -120.5419921875,\n              46.558860303117164\n            ],\n            [\n              -126.21093749999999,\n              46.558860303117164\n            ],\n            [\n              -126.21093749999999,\n              41.934976500546604\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Scully-Engelmeyer, Kaegan","contributorId":256937,"corporation":false,"usgs":false,"family":"Scully-Engelmeyer","given":"Kaegan","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":813501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":176630,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":813502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nielsen-Pincus, Max","contributorId":169901,"corporation":false,"usgs":false,"family":"Nielsen-Pincus","given":"Max","email":"","affiliations":[{"id":25616,"text":"Department of Environmental Science and Management, Portland State University","active":true,"usgs":false}],"preferred":false,"id":813503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanier, Andy","contributorId":256938,"corporation":false,"usgs":false,"family":"Lanier","given":"Andy","email":"","affiliations":[{"id":51905,"text":"Oregon Department of Land Conservation and Development","active":true,"usgs":false}],"preferred":false,"id":813504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rumrill, Steven S","contributorId":256939,"corporation":false,"usgs":false,"family":"Rumrill","given":"Steven","email":"","middleInitial":"S","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":813505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nilsen, Elena 0000-0002-0104-6321","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":212096,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813507,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":205314,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813508,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pillsbury, Lori","contributorId":176618,"corporation":false,"usgs":false,"family":"Pillsbury","given":"Lori","email":"","affiliations":[],"preferred":false,"id":813509,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70218777,"text":"70218777 - 2021 - Genomic comparison of carbapenem-resistant Enterobacteriaceae from humans and gulls in Alaska","interactions":[],"lastModifiedDate":"2021-04-08T15:12:48.927832","indexId":"70218777","displayToPublicDate":"2021-03-02T07:16:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7759,"text":"Journal of Global Antimicrobial Resistance","active":true,"publicationSubtype":{"id":10}},"title":"Genomic comparison of carbapenem-resistant Enterobacteriaceae from humans and gulls in Alaska","docAbstract":"<div id=\"abst0010\"><h3 id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Objectives</h3><p id=\"spar0025\">Wildlife may harbor clinically important antimicrobial resistant (AMR) bacteria, but the role of wildlife in the epidemiology of AMR bacterial infections in humans is largely unknown. In this study, we aimed to assess dissemination of the<i>bla</i><sub>KPC</sub><span>&nbsp;</span>carbapenemase gene among humans and gulls in Alaska.</p></div><div id=\"abst0015\"><h3 id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Methods</h3><p id=\"spar0030\">We performed whole genome sequencing to determine the genetic context of<i>bla</i><sub>KPC</sub><span>&nbsp;</span>in bacterial isolates from all four human carbapenemase-producing Enterobacteriaceae (CPE) infections reported in Alaska between 2013–2018 and to compare sequences to seven previously reported CPE isolates from gull feces within the same region and time period.</p></div><div id=\"abst0020\"><h3 id=\"sect0025\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Results</h3><p id=\"spar0035\">Genomic analysis of CPE isolates suggested independent acquisition events among humans with no evidence for direct transmission of<i>bla</i><sub>KPC</sub><span>&nbsp;</span>between people and gulls. However, some isolates shared conserved genetic elements surrounding<span>&nbsp;</span><i>bla</i><sub>KPC</sub>, suggesting possible exchange between species.</p></div><div id=\"abst0025\"><h3 id=\"sect0030\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Conclusions</h3><p id=\"spar0040\">Our results highlight the genomic plasticity associated with<i>bla</i><sub>KPC</sub><span>&nbsp;</span>and demonstrate that sampling of wildlife may be useful for identifying clinically relevant antimicrobial resistance not observed through local passive surveillance in humans.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jgar.2021.02.028","usgsCitation":"Ahlstrom, C., Frick, A., Pongratz, C., Spink, K., Xavier, C., Bonnedahl, J., and Ramey, A.M., 2021, Genomic comparison of carbapenem-resistant Enterobacteriaceae from humans and gulls in Alaska: Journal of Global Antimicrobial Resistance, v. 25, p. 23-25, 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Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":811798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frick, Anna","contributorId":255101,"corporation":false,"usgs":false,"family":"Frick","given":"Anna","email":"","affiliations":[{"id":51430,"text":"State of Alaska Department of Health and Social Services","active":true,"usgs":false}],"preferred":false,"id":811799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pongratz, Catherine","contributorId":255102,"corporation":false,"usgs":false,"family":"Pongratz","given":"Catherine","email":"","affiliations":[{"id":51430,"text":"State of Alaska Department of Health and Social Services","active":true,"usgs":false}],"preferred":false,"id":811800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spink, Kimberly","contributorId":255103,"corporation":false,"usgs":false,"family":"Spink","given":"Kimberly","email":"","affiliations":[{"id":51430,"text":"State of Alaska Department of Health and Social Services","active":true,"usgs":false}],"preferred":false,"id":811801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xavier, Catherine","contributorId":255104,"corporation":false,"usgs":false,"family":"Xavier","given":"Catherine","email":"","affiliations":[{"id":51430,"text":"State of Alaska Department of Health and Social Services","active":true,"usgs":false}],"preferred":false,"id":811802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":811803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":811804,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70219248,"text":"70219248 - 2021 - Why is tree drought mortality so hard to predict?","interactions":[],"lastModifiedDate":"2021-05-18T14:04:24.328025","indexId":"70219248","displayToPublicDate":"2021-03-02T07:10:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Why is tree drought mortality so hard to predict?","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0050\">Widespread tree mortality following droughts has emerged as an environmentally and economically devastating ‘ecological surprise’. It is well established that tree physiology is important in understanding drought-driven mortality; however, the accuracy of predictions based on physiology alone has been limited. We propose that complicating factors at two levels stymie predictions of drought-driven mortality: (i) organismal-level physiological and site factors that obscure understanding of drought exposure and vulnerability and (ii) community-level ecological interactions, particularly with biotic agents whose effects on tree mortality may reverse expectations based on stress physiology. We conclude with a path forward that emphasizes the need for an integrative approach to stress physiology and biotic agent dynamics when assessing forest risk to drought-driven morality in a changing climate.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2021.02.001","usgsCitation":"Trugman, A.T., Anderegg, L.D., Anderegg, W.R., Das, A., and Stephenson, N.L., 2021, Why is tree drought mortality so hard to predict?: Trends in Ecology and Evolution, v. 36, no. 6, p. 520-523, https://doi.org/10.1016/j.tree.2021.02.001.","productDescription":"4 p.","startPage":"520","endPage":"523","ipdsId":"IP-126626","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":453260,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.tree.2021.02.001","text":"External Repository"},{"id":384798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trugman, Anna T 0000-0002-7903-9711","orcid":"https://orcid.org/0000-0002-7903-9711","contributorId":245074,"corporation":false,"usgs":false,"family":"Trugman","given":"Anna","email":"","middleInitial":"T","affiliations":[{"id":49084,"text":"Department of Geography, 1832 Ellison Hall, Santa Barbara, CA, 93016 USA","active":true,"usgs":false}],"preferred":false,"id":813404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderegg, Leander D.L.","contributorId":256917,"corporation":false,"usgs":false,"family":"Anderegg","given":"Leander","email":"","middleInitial":"D.L.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":813405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderegg, William RL","contributorId":256918,"corporation":false,"usgs":false,"family":"Anderegg","given":"William","email":"","middleInitial":"RL","affiliations":[{"id":51896,"text":"University of Utah, Salt Lake City","active":true,"usgs":false}],"preferred":false,"id":813406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813408,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224614,"text":"70224614 - 2021 - Beach placer mineral deposits along localized paleoshorelines of the western Interior Seaway, upper cretaceous Fox Hills sandstone, eastern Denver Basin, Colorado","interactions":[],"lastModifiedDate":"2021-09-30T12:12:02.258589","indexId":"70224614","displayToPublicDate":"2021-03-02T07:10:04","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"RS-48","title":"Beach placer mineral deposits along localized paleoshorelines of the western Interior Seaway, upper cretaceous Fox Hills sandstone, eastern Denver Basin, Colorado","docAbstract":"<div class=\"summary entry-summary\"><div class=\"tabbed-content\"><div class=\"tabbed-content__container\"><div class=\"tabbed-content__body\"><div id=\"tabbed-content__section-1\" class=\"tabbed-content__section wysiwyg\"><p>Beach placers deposited within the Fox Hills Sandstone along the eastern flank of the Denver Basin contain minerals deemed critical in 2018 by the U.S. Department of the Interior. These marine beach placers, or paleoplacers, were deposited in the Late Cretaceous along the western edge of the retreating<span>&nbsp;</span>Western Interior Seaway<span>&nbsp;</span>(WIS). Preliminary investigations determined that these deposits contain potential critical mineral resources including titanium, zirconium, hafnium, and rare earth elements (REE). This report contains the results of a limited investigation conducted by the CGS in this area to provide additional information on the nature of these mineral deposits. The following tasks were completed during this investigation: review and summary of publicly available documents and publications; collection of samples and stratigraphic analysis of accessible outcrops; mineralogical analysis of select samples; and laboratory analysis of samples for select critical mineral concentrations. This report may assist with future mineral exploration efforts in this area and provide insight into the retreat of the WIS during the Late Cretaceous.</p></div></div></div></div></div>","language":"English","publisher":"Colorado Geological Survey","collaboration":"Colorado geolgical Survey, Colorado School of Mines","usgsCitation":"O’Keeffe, M.K., Dechesne, M., Morgan, M.J., Keller, S., Pfaff, K., Mahatma, A., and Peretyatko, A.I., 2021, Beach placer mineral deposits along localized paleoshorelines of the western Interior Seaway, upper cretaceous Fox Hills sandstone, eastern Denver Basin, Colorado.","ipdsId":"IP-119246","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":390032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":390031,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://coloradogeologicalsurvey.org/publications/placer-minerals-cretaceous-fox-hills-denver-basin-colorado/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Keeffe, Michael K","contributorId":266068,"corporation":false,"usgs":false,"family":"O’Keeffe","given":"Michael","email":"","middleInitial":"K","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":824277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dechesne, Marieke 0000-0002-4468-7495","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":213936,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":824278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, Matthew J.","contributorId":171711,"corporation":false,"usgs":false,"family":"Morgan","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":824279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keller, Stephen M","contributorId":266069,"corporation":false,"usgs":false,"family":"Keller","given":"Stephen M","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":824280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pfaff, Katherina","contributorId":266070,"corporation":false,"usgs":false,"family":"Pfaff","given":"Katherina","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":824281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahatma, Asha","contributorId":266071,"corporation":false,"usgs":false,"family":"Mahatma","given":"Asha","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":824282,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peretyatko, Alexander I","contributorId":266072,"corporation":false,"usgs":false,"family":"Peretyatko","given":"Alexander","email":"","middleInitial":"I","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":824283,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70218648,"text":"70218648 - 2021 - Genomic association with pathogen carriage in bighorn sheep (Ovis canadensis)","interactions":[],"lastModifiedDate":"2021-04-08T15:02:05.800902","indexId":"70218648","displayToPublicDate":"2021-03-02T07:05:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Genomic association with pathogen carriage in bighorn sheep (Ovis canadensis)","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Genetic composition can influence host susceptibility to, and transmission of, pathogens, with potential population‐level consequences. In bighorn sheep (<i>Ovis canadensis</i>), pneumonia epidemics caused by<span>&nbsp;</span><i>Mycoplasma ovipneumoniae</i><span>&nbsp;</span>have been associated with severe population declines and limited recovery across North America. Adult survivors either clear the infection or act as carriers that continually shed<span>&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;</span>and expose their susceptible offspring, resulting in high rates of lamb mortality for years following the outbreak event. Here, we investigated the influence of genomic composition on persistent carriage of<span>&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;</span>in a well‐studied bighorn sheep herd in the Wallowa Mountains of Oregon, USA. Using 10,605 SNPs generated using RADseq technology for 25 female bighorn sheep, we assessed genomic diversity metrics and employed family‐based genome‐wide association methodologies to understand variant association and genetic architecture underlying chronic carriage. We observed no differences among genome‐wide diversity metrics (heterozygosity and allelic richness) between groups. However, we identified two variant loci of interest and seven associated candidate genes, which may influence carriage status. Further, we found that the SNP panel explained ~55% of the phenotypic variance (SNP‐based heritability) for<span>&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;</span>carriage, though there was considerable uncertainty in these estimates. While small sample sizes limit conclusions drawn here, our study represents one of the first to assess the genomic factors influencing chronic carriage of a pathogen in a wild population and lays a foundation for understanding genomic influence on pathogen persistence in bighorn sheep and other wildlife populations. Future research should incorporate additional individuals as well as distinct herds to further explore the genomic basis of chronic carriage.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7159","usgsCitation":"Martin, A., Cassirer, E.F., Waits, L.P., Plowright, R., Cross, P.C., and Andrews, K., 2021, Genomic association with pathogen carriage in bighorn sheep (Ovis canadensis): Ecology and Evolution, v. 11, no. 6, p. 2488-2502, https://doi.org/10.1002/ece3.7159.","productDescription":"15 p.","startPage":"2488","endPage":"2502","ipdsId":"IP-121922","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":453262,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7159","text":"Publisher Index Page"},{"id":383814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.6416015625,\n              44.968684437948376\n            ],\n            [\n              -117.13348388671875,\n              44.968684437948376\n            ],\n            [\n              -117.13348388671875,\n              45.54098421805075\n            ],\n            [\n              -117.6416015625,\n              45.54098421805075\n            ],\n            [\n              -117.6416015625,\n              44.968684437948376\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Alynn 0000-0002-6603-2385","orcid":"https://orcid.org/0000-0002-6603-2385","contributorId":224233,"corporation":false,"usgs":true,"family":"Martin","given":"Alynn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":811270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cassirer, E. Frances","contributorId":23404,"corporation":false,"usgs":true,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":811271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":811272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plowright, Raina K.","contributorId":23038,"corporation":false,"usgs":true,"family":"Plowright","given":"Raina K.","affiliations":[],"preferred":false,"id":811273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cross, Paul C. 0000-0002-7413-9297 pcross@usgs.gov","orcid":"https://orcid.org/0000-0002-7413-9297","contributorId":253134,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":811274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, Kimberly R.","contributorId":253136,"corporation":false,"usgs":false,"family":"Andrews","given":"Kimberly R.","affiliations":[{"id":50491,"text":"Institute for Bioinformatics and Evolutionary Studies (IBEST), University of Idaho","active":true,"usgs":false}],"preferred":false,"id":811275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219578,"text":"70219578 - 2021 - Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments","interactions":[],"lastModifiedDate":"2021-04-14T11:58:36.120273","indexId":"70219578","displayToPublicDate":"2021-03-02T06:56:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments","docAbstract":"<p><span>Forest soils are among the world’s largest repositories for long-term accumulation of atmospherically deposited mercury (Hg), and understanding the potential for&nbsp;remobilization&nbsp;through gaseous emissions, aqueous dissolution and runoff, or erosive particulate transport to down-gradient aquatic ecosystems is critically important for projecting ecosystem recovery. Forestry operations, especially clear-cut logging where most of the vegetaiton is removed, can influence Hg mobility/fluxes, foodweb dynamics, and bioaccumulation processes. This paper measured surface-air Hg fluxes from catchments in the Pacific Northwest, USA, to determine if there is a difference between forested and logged catchments. These measurements were conducted as part of a larger project on the impact of forestry operations on Hg cycling which include measurements of&nbsp;water fluxes&nbsp;as well as impacts on biota. Surface-air Hg fluxes were measured using a commonly applied dynamic&nbsp;flux chamber&nbsp;(DFC) method that incorporated diel and seasonal variability in elemental Hg (Hg</span><sup>0</sup><span>) fluxes at multiple forested and harvested catchments. The results showed that the forested ecosystem had depositional Hg</span><sup>0</sup><span>&nbsp;fluxes throughout most of the year (annual mean:&nbsp;−0.26&nbsp;ng/m</span><sup>2</sup><span>/h). In contrast, the harvested catchments showed mostly emission of Hg</span><sup>0</sup><span>&nbsp;(annual mean: 0.63&nbsp;ng/m</span><sup>2</sup><span>/h). Differences in solar radiation reaching the soil was the primary driver resulting in a shift from net deposition to emission in harvested catchments. The surface-air Hg fluxes were larger than the fluxes to water as runoff and accounted for 97% of the differences in Hg sequestered in forested versus harvested catchments.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2021.116869","usgsCitation":"Eckley, C.S., Eagles-Smith, C., Tate, M., and Krabbenhoft, D.P., 2021, Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments: Environmental Pollution, v. 277, 116869, 9 p., https://doi.org/10.1016/j.envpol.2021.116869.","productDescription":"116869, 9 p.","ipdsId":"IP-125013","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":453264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9175152","text":"Publisher Index Page"},{"id":385074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Oregon","otherGeospatial":"Gus Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.92028808593749,\n              45.606352077118316\n            ],\n            [\n              -123.1842041015625,\n              45.606352077118316\n            ],\n            [\n              -123.1842041015625,\n              46.069419674968515\n            ],\n            [\n              -123.92028808593749,\n              46.069419674968515\n            ],\n            [\n              -123.92028808593749,\n              45.606352077118316\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"277","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eckley, Chris S. 0000-0002-6986-4451","orcid":"https://orcid.org/0000-0002-6986-4451","contributorId":246031,"corporation":false,"usgs":false,"family":"Eckley","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":814230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814233,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229126,"text":"70229126 - 2021 - A paradoxical knowledge gap in science for critically endangered fishes and game fishes during the sixth mass extinction","interactions":[],"lastModifiedDate":"2022-03-02T01:23:01.639903","indexId":"70229126","displayToPublicDate":"2021-03-01T19:19:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"A paradoxical knowledge gap in science for critically endangered fishes and game fishes during the sixth mass extinction","docAbstract":"Despite unprecedented scientific productivity, Earth is undergoing a sixth mass extinction. The disconnect between scientific output and species conservation may be related to scientists studying the wrong species. Given fishes have a high extinction rate, we assessed the paradox between scientific productivity and science needed for conservation by comparing scientific output created for critically endangered fishes and game fishes. We searched 197,866 articles (1964 – 2018) in 112 journals for articles on 460 critically endangered fishes, 297 game fishes, and 35 fishes classified as critically endangered and game fish — our analysis included freshwater and marine species. Only 3% of the articles in the final database were on critically endangered fishes; 82% of critically endangered fishes had zero articles. The difference between the number of articles on game fishes and critically endangered fishes increased temporally with more articles on game fishes during the extinction crisis. Countries with 10 or more critically endangered fishes averaged only 17 articles from 1964 through 2018. Countries with the most critically endangered fishes are most in need of science. More scientific knowledge is needed on critically endangered fishes to meet the challenges of conserving fishes during the sixth mass extinction.","language":"English","doi":"10.1038/s41598-021-87871-y","usgsCitation":"Guy, C.S., Cox, T., Williams, J.R., Brown, C.D., Eckelbecker, R., Glassic, H.C., Lewis, M.C., Maskill, P., McGarvey, L.M., and Siemiantkowski, M., 2021, A paradoxical knowledge gap in science for critically endangered fishes and game fishes during the sixth mass extinction: Scientific Reports, v. 11, 8447, 9 p., https://doi.org/10.1038/s41598-021-87871-y.","productDescription":"8447, 9 p.","ipdsId":"IP-123872","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":453265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-87871-y","text":"Publisher Index Page"},{"id":396621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2021-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":836592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Tanner L.","contributorId":287267,"corporation":false,"usgs":false,"family":"Cox","given":"Tanner L.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Jacob R","contributorId":287268,"corporation":false,"usgs":false,"family":"Williams","given":"Jacob","email":"","middleInitial":"R","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Colter D.","contributorId":287269,"corporation":false,"usgs":false,"family":"Brown","given":"Colter","email":"","middleInitial":"D.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eckelbecker, Robert W.","contributorId":287270,"corporation":false,"usgs":false,"family":"Eckelbecker","given":"Robert W.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glassic, Hayley C.","contributorId":287271,"corporation":false,"usgs":false,"family":"Glassic","given":"Hayley","email":"","middleInitial":"C.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836597,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewis, Madeline C.","contributorId":287272,"corporation":false,"usgs":false,"family":"Lewis","given":"Madeline","email":"","middleInitial":"C.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836598,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maskill, Paige A. C.","contributorId":287273,"corporation":false,"usgs":false,"family":"Maskill","given":"Paige A. C.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836599,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGarvey, Lauren M.","contributorId":287274,"corporation":false,"usgs":false,"family":"McGarvey","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836600,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Siemiantkowski, Michael J.","contributorId":287277,"corporation":false,"usgs":false,"family":"Siemiantkowski","given":"Michael J.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836601,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70218482,"text":"sir20215001 - 2021 - Review of the invasive Asian clam Corbicula spp. (Bivalvia: Cyrenidae) distribution in North America, 1924–2019","interactions":[],"lastModifiedDate":"2021-03-02T12:49:30.337586","indexId":"sir20215001","displayToPublicDate":"2021-03-01T17:11:50","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5001","displayTitle":"Review of the Invasive Asian Clam <i>Corbicula</i> spp. (Bivalvia: Cyrenidae) Distribution in North America, 1924–2019","title":"Review of the invasive Asian clam Corbicula spp. (Bivalvia: Cyrenidae) distribution in North America, 1924–2019","docAbstract":"<p>The bivalve <i>Corbicula </i>is one of the most successful aquatic mollusk invaders in the world. Since being intro­duced to North America from its native range in Asia, it has dispersed widely over a large portion of the continent from southern Canada to Panama. The first evidence of its introduc­tion in the Western Hemisphere was discovered in 1924 in British Columbia, Canada. A review of distribution records from natural history museums, scientific literature, Federal and State agencies, universities, and oral and written commu­nications with scientists has shown the continued dispersal of <i>Corbicula </i>in North America. Since the most recent compre­hensive review of its distribution information through the mid-1980s, <i>Corbicula </i>has been found in an additional 2 Canadian Provinces, 10 U.S. States and Puerto Rico, 9 Mexican States, Cuba, and Panama. The known distribution in North America now includes 47 U.S. States, District of Columbia, Puerto Rico, 3 Canadian Provinces, 16 Mexican States, Cuba, and Panama. <i>Corbicula </i>has been found in three of the Laurentian Great Lakes (Erie, Michigan, Superior) primarily associated with industrial warmwater effluent refugia. Problems associ­ated with <i>Corbicula </i>populations were widely realized not long after its arrival and included negative impacts to power generation, industrial water supply operations, and agricultural water conveyance. In natural settings, impacts on native mus­sels such as altering nutrient cycling, food webs, and sediment distribution dynamics have occurred. In past decades, control of established open water populations had not been a manage­ment priority. With a relatively recent interest in eradication of small, newly established populations, several attempts were made in the United States but were unsuccessful. Recent molecular genetic analyses provide evidence of multiple species and (or) genetically and morphologically distinguish­able “forms” in North America. However, the number and identification of <i>Corbicula </i>species in North America remain unresolved. It appears likely that more than one species of <i>Corbicula </i>has been introduced into U.S. waters.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215001","usgsCitation":"Benson, A.J., and Williams, J.D., 2021, Review of the invasive Asian clam Corbicula spp. (Bivalvia: Cyrenidae) distribution in North America, 1924–2019: U.S. Geological Survey Scientific Investigations Report 2021–5001, 66 p., https://doi.org/10.3133/sir20215001.","productDescription":"Report: ix, 66 p.; Data Release","numberOfPages":"79","onlineOnly":"Y","ipdsId":"IP-119326","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":383682,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5001/coverthb.jpg"},{"id":383683,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5001/sir20215001.pdf","text":"Report","size":"16.8 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]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\" href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\">Wetland and Aquatic Research Center</a>&nbsp; <br>U.S. Geological Survey&nbsp; <br>7920 NW 71st St.&nbsp; <br>Gainesville, FL 32653</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-03-01","noUsgsAuthors":false,"publicationDate":"2021-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Benson, Amy J. 0000-0002-4517-1466 abenson@usgs.gov","orcid":"https://orcid.org/0000-0002-4517-1466","contributorId":3836,"corporation":false,"usgs":true,"family":"Benson","given":"Amy","email":"abenson@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":811182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, James D.","contributorId":17690,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":811183,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70228919,"text":"70228919 - 2021 - Survey design optimization for monitoring wildlife communities in areas managed for federally endangered species","interactions":[],"lastModifiedDate":"2022-02-24T22:52:21.427369","indexId":"70228919","displayToPublicDate":"2021-03-01T16:39:54","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Survey design optimization for monitoring wildlife communities in areas managed for federally endangered species","docAbstract":"In wildlife communities composed of federally endangered species, there are often several species of conservation concern that have not yet warranted federally mandated protection. These species often need continued monitoring to inform the direction of future management. While recovering endangered species is an important conservation goal, practitioners are challenged by balancing federally mandated protocols with actions that promote non-listed priority species. Practitioners need an understanding of how focused, single-species management actions may affect non-listed priority species, but developing a monitoring protocol that can detect such effects with limited resources is a challenge. Here we use constrained optimization as a path to identifying a sampling scheme that overcomes these logistical challenges and then illustrate its potential in the Sandhills region of North Carolina, USA. Using empirical results from multi-year avian community monitoring, we parameterized simulations to understand how varying the number of sampling locations and site visits affected the optimal monitoring protocol across three different avian community composition scenarios: a community with (1) 10 percent, (2) 25 percent, or (3) 50 percent non-listed priority species. We found the greatest rate of change in precision of community-level metrics such as species richness by increasing sampling replicates when surveying up to 50 sites. Importantly, this trend was apparent across all three community scenarios, indicating relatively predictable changes in uncertainty regardless of community composition. In contrast, increasing the sampling frequency did not consistently reduce uncertainty in species-level parameters such as occupancy probability. Concerningly, we saw the greatest variation when communities were comprised of 50 percent non-listed species suggesting increasingly complex monitoring protocols may be required if the number of non-listed priority species continues to increase. Practitioners could consider reducing detection error of priority species through increasing sampling frequency, as this can strongly affect optimization study designs.","language":"English","publisher":"Wiley","doi":"10.1111/acv.12681","usgsCitation":"Pease, B., Pacifici, K., and Collazo, J.A., 2021, Survey design optimization for monitoring wildlife communities in areas managed for federally endangered species: Animal Conservation, v. 24, no. 5, p. 756-769, https://doi.org/10.1111/acv.12681.","productDescription":"14 p.","startPage":"756","endPage":"769","ipdsId":"IP-119135","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Sandhills Game Land, Sandhills 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B.S.","contributorId":280024,"corporation":false,"usgs":false,"family":"Pease","given":"B.S.","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":835896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pacifici, Krishna","contributorId":244494,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":835897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228575,"text":"70228575 - 2021 - Ecology of an isolated muskrat population during regional population declines","interactions":[],"lastModifiedDate":"2022-02-15T12:01:06.3463","indexId":"70228575","displayToPublicDate":"2021-03-01T15:18:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Ecology of an isolated muskrat population during regional population declines","docAbstract":"Evidence indicating a decline in muskrat populations in the United States during the past 40 years has led to speculation regarding factors influencing muskrat survival. In order to understand population dynamics and survival, it is important to first define the ecology of local populations. We investigated the dwelling structure use, movements, home range, and survival of radio-tagged muskrats (n = 14) in an urban wetland complex in central Pennsylvania. We used locations collected from intensive radio telemetry monitoring to determine number of lodging structures used, hourly movement, and size and percent area overlap of home ranges. Muskrats shared an average of nine lodging structures and on average 68% of a muskrat’s home range overlapped other muskrat home ranges. We used four home range estimators (Kernel Density Estimator (KDE) href, KDEad hoc, KDEplug-in, and Local Convex Hull estimator) to assess the ability of each estimator to represent muskrat home ranges. The KDEplug-in that constrained the estimate of home range to habitat boundaries provided the more appropriate home range size for muskrats in a linear-non-linear habitat matrix. We also calculated overwinter survival estimates using known-fate models. Our top model indicated a positive effect of the average weekly precipitation on survival with an overwinter survival estimate of 0.59 (SE = 0.16). The main cause of muskrat mortality was predation by mink (n = 6). The small sample size and uncertainty surrounding our model selection led to weak estimates of survival, however our model suggests that snowfall may be an important factor in muskrat survival. Our study provides novel data on muskrat ecology in Pennsylvania as well as preliminary evidence for future investigations of factors affecting muskrat survival during the winter months.","language":"English","publisher":"Humboldt Field Research Institute","doi":"10.1656/045.028.0104","usgsCitation":"Ganoe, L.S., Lovallo, M.J., Brown, J., and Walter, W., 2021, Ecology of an isolated muskrat population during regional population declines: Northeastern Naturalist, v. 28, no. 1, p. 49-64, https://doi.org/10.1656/045.028.0104.","productDescription":"16 p.","startPage":"49","endPage":"64","ipdsId":"IP-117530","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Lewisburg","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.91184997558594,\n              40.94126775545064\n            ],\n            [\n              -76.88215255737305,\n              40.94126775545064\n            ],\n            [\n              -76.88215255737305,\n              40.973547658439244\n            ],\n            [\n              -76.91184997558594,\n              40.973547658439244\n            ],\n            [\n              -76.91184997558594,\n              40.94126775545064\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ganoe, Laken S.","contributorId":276194,"corporation":false,"usgs":false,"family":"Ganoe","given":"Laken","email":"","middleInitial":"S.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovallo, Matt J.","contributorId":276195,"corporation":false,"usgs":false,"family":"Lovallo","given":"Matt","email":"","middleInitial":"J.","affiliations":[{"id":56616,"text":"PA Game Commission","active":true,"usgs":false}],"preferred":false,"id":834648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Justin D.","contributorId":276196,"corporation":false,"usgs":false,"family":"Brown","given":"Justin D.","affiliations":[{"id":56616,"text":"PA Game Commission","active":true,"usgs":false}],"preferred":false,"id":834649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834646,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262807,"text":"70262807 - 2021 - Aerial strip-transect surveys: Indexing autumn–winter waterbird abundance and distribution in South Carolina","interactions":[],"lastModifiedDate":"2025-01-23T21:19:19.338796","indexId":"70262807","displayToPublicDate":"2021-03-01T15:14:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Aerial strip-transect surveys: Indexing autumn–winter waterbird abundance and distribution in South Carolina","docAbstract":"<p><span>Aerial surveys integrating probability-based sample designs have been implemented successfully to estimate relative abundance of wintering ducks in Arkansas, Louisiana, Mississippi, and Missouri, but these approaches have not been evaluated in the Atlantic Flyway except for American black ducks (</span><i>Anas rubripes</i><span>) along the Atlantic coast. Furthermore, these surveys have not been used to index abundance of other nonbreeding waterbirds. Given elimination or reduction of resources allocated to the Midwinter Waterfowl Survey in the Atlantic Flyway and elsewhere, the South Carolina Department of Natural Resources (SCDNR) expressed a need for reliable surveys to monitor waterfowl and other waterbirds during autumn through winter. We designed stratified aerial strip-transect surveys to estimate population indices for migrating and wintering dabbling ducks (Anatini), diving ducks (Aythini, Mergini, Oxyurini), pelagic and piscivorous waterbirds (Anhingidae, Laridae, Pelicanidae, Phalacrocoracidae), and wading birds (Ardeidae, Ciconiidae, Threskiornithidae) in coastal and inland regions of South Carolina during autumn-winter 2017–2019. We used unequal probability random sampling to estimate population indices with deemed adequate precision (i.e., coefficient of variation [CV] ≤ 20%) and estimated theoretical survey efforts needed to achieve desired precision for future aerial surveys. Indices met our goal for precision in September and January 2018 for wading birds, in February and November 2018 for pelagic waterbirds, and in February 2018 for diving ducks, but never for other ducks during South Carolina waterfowl hunting season. We detected peak abundance of dabbling and diving ducks in January and wading birds and wood storks (</span><i>Mycteria americana</i><span>) in September. We estimated ~2.5 times greater survey effort was needed across waterbird taxa than was expended to achieve a CV=20%. We also used survey data to depict spatiotemporal variation in waterbird distributions across the study area. Our surveys are applicable for the SCDNR and other agencies seeking to monitor autumn-winter waterbird populations. Although survey refinements are necessary to increase precision in South Carolina, our waterbird indices are useful to assess population trends through time, guide habitat management and restoration efforts, refine local harvest regulations, inform law enforcement to detected illicit activities (e.g., baiting), and monitor possible shifting waterbird distributions in response to land-use and climate change.</span></p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Ross, B., Wilkerson, G., Kneece, M., Masto, N., Gerard, P., and Kaminski, R., 2021, Aerial strip-transect surveys: Indexing autumn–winter waterbird abundance and distribution in South Carolina: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 8, p. 89-100.","productDescription":"12 p.","startPage":"89","endPage":"100","ipdsId":"IP-119300","costCenters":[{"id":198,"text":"Coop Res Unit 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,{"id":70219161,"text":"70219161 - 2021 - The Denver Well Logging Society March 2021 Newsletter: From the VP - Technology","interactions":[],"lastModifiedDate":"2022-01-13T19:37:30.994698","indexId":"70219161","displayToPublicDate":"2021-03-01T13:35:13","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9980,"text":"Denver Well Drilling Society Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"The Denver Well Logging Society March 2021 Newsletter: From the VP - Technology","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"The Denver Well Logging Society","usgsCitation":"Lagesse, J.H., 2021, The Denver Well Logging Society March 2021 Newsletter: From the VP - Technology: Denver Well Drilling Society Newsletter, no. March 2021, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-127194","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":394323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394322,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dwls.spwla.org/2021-03-Newsletter.html"}],"issue":"March 2021","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":813074,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70218461,"text":"ds1133 - 2021 - Compilation of information on occurrence and conservation status for the freshwater mussel fauna of Nebraska, Kansas, and Oklahoma","interactions":[],"lastModifiedDate":"2022-07-12T12:14:55.286929","indexId":"ds1133","displayToPublicDate":"2021-03-01T13:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1133","displayTitle":"Compilation of Information on Occurrence and Conservation Status for the Freshwater Mussel Fauna of Nebraska, Kansas, and Oklahoma","title":"Compilation of information on occurrence and conservation status for the freshwater mussel fauna of Nebraska, Kansas, and Oklahoma","docAbstract":"<p>The purpose of this data series is to compile information on the occurrence and conservation status of the freshwater mussel fauna of Nebraska, Kansas, and Oklahoma and to map the distribution of a freshwater mussel assemblage for the U.S. Department of the Interior, Bureau of Land Management Rapid Ecoregional Assessment (REA) program. The six focal species in the freshwater mussel assemblage are <i>Amblema plicata (</i>threeridge), <i>Fusconaia flava</i> (Wabash pigtoe), <i>Lampsilis cardium</i> (plain pocketbook), <i>Lampsilis teres</i> (yellow sandshell), <i>Pyganodon grandis</i> (giant floater), and <i>Uniomerus tetralasmus</i> (pondhorn). The focal species were selected using the following criteria: (1) the species are regionally significant, (2) occurrence records are sufficient to map the distribution of the species by hydrologic subbasins, (3) the assemblage includes species representing a range of State-level conservation priorities, and (4) the species are not listed as federally endangered or threatened. In addition, the species represent a broad array of life history strategies and habitat associations.</p><p>A total of 61 native species of freshwater mussels have documented occurrences within at least 1 of the 3 States, including 6 species that appear to have been extirpated from all the States and 6 species that may have been extirpated from at least 1 State. Of the 61 species, 8 species (including 3 potentially extirpated species) are listed as federally threatened or endangered and an additional 5 species are ranked as imperiled or vulnerable across their range. Approximately 80 percent of the native species known to have occurred within the three-State area have a secure conservation status, in comparison to only 40 percent of all freshwater mussel species or subspecies occurring within the United States. The compiled records for the contemporary period (1970–2017) documented the occurrence of 24 extant species in Nebraska, 42 in Kansas, and 48 in Oklahoma.</p><p>The contemporary distributions of the six focal species were mapped by subbasins and the larger hydrologic subregions. Historical records (prior to 1962) were also mapped but were limited. <i>Amblema plicata</i>, <i>Fusconaia flava</i>, and <i>Lampsilis cardium</i> were present in approximately one-third of all subbasins and slightly more than half of the subregions, primarily along the eastern portion of the three-State area. <i>Lampsilis teres</i> and <i>Uniomerus tetralasmus</i> were more widespread, occurring in close to half of the subbasins and about three-quarters of the subregions. <i>Pyganodon grandis</i> was the most widespread, occurring in about three-quarters of the subbasins and almost all subregions. There were very few subbasins with historical occurrences that lacked contemporary occurrences. The broad-scale distribution maps for the freshwater mussel assemblage presented with this report are intended to contribute baseline information for regional assessments, such as the Southern Great Plains Rapid Ecoregional Assessment. Despite the limitations of the available data, such baseline information can be useful for identifying data gaps, monitoring future trends, identifying conservation priorities, and providing the larger context for more detailed watershed- or catchment-level studies. ScienceBase data release files associated with this data series are available at <a data-mce-href=\"https://doi.org/10.5066/P9SBFZJU\" href=\"https://doi.org/10.5066/P9SBFZJU\">https://doi.org/10.5066/P9SBFZJU</a> (Fancher and Carr, 2021).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1133","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Carr, N.B., and Fancher, T.S., 2021, Compilation of information on occurrence and conservation status for the freshwater mussel fauna of Nebraska, Kansas, and Oklahoma: U.S. Geological Survey Data Series 1133, 22 p., https://doi.org/10.3133/ds1133.","productDescription":"Report: vi, 22 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-119647","costCenters":[{"id":291,"text":"Fort Collins Science 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 \"}}]}","contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/centers/fort/\" data-mce-href=\"https://www.usgs.gov/centers/fort/\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Building C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2021-03-01","noUsgsAuthors":false,"publicationDate":"2021-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":811009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":811011,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70218460,"text":"fs20213001 - 2021 - Geomagnetic monitoring in the mid-Atlantic United States","interactions":[],"lastModifiedDate":"2021-05-11T20:59:24.473922","indexId":"fs20213001","displayToPublicDate":"2021-03-01T12:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3001","displayTitle":"Geomagnetic Monitoring in the Mid-Atlantic United States","title":"Geomagnetic monitoring in the mid-Atlantic United States","docAbstract":"<p>Near historic battlegrounds of the American Civil War, southeast of Fredericksburg, Virginia, on a secluded grassy glade surrounded by forest, a specially designed observatory records the Earth’s changing magnetic field. This facility, the Fredericksburg Magnetic Observatory, is 1 of 14 observatories the U.S. Geological Survey Geomagnetism Program operates at various locations across the United States and its Territories as a service to the Nation and in support of a diversity of governmental, academic, and commercial scientific projects.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20213001","usgsCitation":"Love, J.J., and Lewis, K.A., 2021, Geomagnetic monitoring in the mid-Atlantic United States: U.S. Geological Survey Fact Sheet 2021-3001, 2 p., https://doi.org/10.3133/fs20213001.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-123555","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":383647,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3001/coverthb.jpg"},{"id":383648,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3001/fs20213001.pdf","text":"Report","size":"2.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021-3001"}],"country":"United States","state":"Virginia","city":"Corbin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.37690210342407,\n              38.200738165988604\n            ],\n            [\n              -77.37284660339355,\n              38.200738165988604\n            ],\n            [\n              -77.37284660339355,\n              38.20303985929743\n            ],\n            [\n              -77.37690210342407,\n              38.20303985929743\n            ],\n            [\n              -77.37690210342407,\n              38.200738165988604\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/geohazards/\" data-mce-href=\"http://www.usgs.gov/centers/geohazards/\">Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-966<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>History of Geomagnetic Monitoring</li><li>Geomagnetic Signals</li><li>References</li></ul>","publishedDate":"2021-03-01","noUsgsAuthors":false,"publicationDate":"2021-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":811007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Kristen A. 0000-0003-4991-3399 klewis@usgs.gov","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":4120,"corporation":false,"usgs":true,"family":"Lewis","given":"Kristen","email":"klewis@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":811008,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222575,"text":"70222575 - 2021 - Toward an effective global green economy: The Critical Minerals Mapping Initiative (CMMI)","interactions":[],"lastModifiedDate":"2022-01-20T17:59:58.023235","indexId":"70222575","displayToPublicDate":"2021-03-01T11:59:25","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":10041,"text":"SGA News","active":true,"publicationSubtype":{"id":30}},"title":"Toward an effective global green economy: The Critical Minerals Mapping Initiative (CMMI)","docAbstract":"Global population growth, economic development and the accelerating pace of technological innovation are driving increased demand for non-fuel mineral commodities that are vital for emerging and low-carbon technologies. Examples of such commodities include cobalt and graphite for rechargeable batteries, tellurium in thin-film solar photovoltaics and rare earth elements (REE) in permanent magnets, electronics and medical technologies. These commodities are known as critical elements and/or minerals (collectively referred to as critical minerals), with the term critical used to define not only their importance for new technologies, but also their demand and vulnerability to supply disruption. The demand for critical minerals is likely to continue to grow, but supply is not assured. Therefore, national strategies in Australia, Canada, United States and elsewhere (e.g. Europe: Wittenberg et al. 2021) are being developed to encourage exploration and production, including resolving the geological processes responsible for their enrichrichment into viable ore deposits. In 2019, Geoscience Australia (GA), the Geological Survey of Canada (GSC) and the United States Geological Survey (USGS) formed the Critical Minerals Mapping Initiative (CMMI) to undertake research to develop a better understanding of critical mineral resources in known deposits, determine the geological controls on critical mineral distribution for deposits currently producing by-products, and identify new sources of supply through mineral prospectivity mapping and resource assessment.","language":"English","publisher":"Society for Geology Applied to Mineral Deposits (SGA)","usgsCitation":"Kelley, K.D., Huston, D., and Peter, J., 2021, Toward an effective global green economy: The Critical Minerals Mapping Initiative (CMMI): SGA News, v. 48, no. March 2021, p. 1-5.","productDescription":"5 p.","startPage":"1","endPage":"5","ipdsId":"IP-124472","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":394599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387698,"type":{"id":15,"text":"Index Page"},"url":"https://e-sga.org/publications/sga-news/news-archive/"}],"volume":"48","issue":"March 2021","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":820614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huston, David","contributorId":261768,"corporation":false,"usgs":false,"family":"Huston","given":"David","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":820615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peter, Jan","contributorId":261769,"corporation":false,"usgs":false,"family":"Peter","given":"Jan","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":820616,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70270506,"text":"70270506 - 2021 - G-LiHT User Guide","interactions":[],"lastModifiedDate":"2025-08-21T16:01:18.077669","indexId":"70270506","displayToPublicDate":"2021-03-01T10:58:55","publicationYear":"2021","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"G-LiHT User Guide","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"NASA","usgsCitation":"Wirt, B., 2021, G-LiHT User Guide (Version 1.0), 27 p.","productDescription":"27 p.","ipdsId":"IP-127618","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494393,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://lpdaac.usgs.gov/documents/971/G-LiHT_User_Guide_V1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationDate":"2021-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Wirt, Bradford 0000-0001-6115-6963","orcid":"https://orcid.org/0000-0001-6115-6963","contributorId":220349,"corporation":false,"usgs":true,"family":"Wirt","given":"Bradford","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":946464,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70227888,"text":"70227888 - 2021 - Egg morphometrics and egg shape coefficients for White-faced Ibis (Plegadis chihi)","interactions":[],"lastModifiedDate":"2022-02-01T17:01:02.406386","indexId":"70227888","displayToPublicDate":"2021-03-01T10:54:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Egg morphometrics and egg shape coefficients for White-faced Ibis (<i>Plegadis chihi</i>)","title":"Egg morphometrics and egg shape coefficients for White-faced Ibis (Plegadis chihi)","docAbstract":"<p>Egg size is a useful metric for maternal investment, offspring quality, and contaminant studies. Yet these values and the egg shape coefficients required to estimate egg size are not available for many species, including White-faced-Ibis (<i>Plegadis chihi</i>). We provide egg morphometrics derived from 319 White-faced Ibis eggs sampled at Bear River Migratory Bird Refuge, Great Salt Lake, Utah, from 2010 to 2012. Measured egg length (mean ± SD) was 51.20 ± 1.99 mm, egg width was 36.08 ± 1.15 mm, and whole egg mass was 34.1 ± 3.3 g. Estimated whole egg volume was 34.63 ± 3.73 cm<sup>3</sup><span>&nbsp;</span>and estimated egg shape coefficients were 0.507 for<span>&nbsp;</span><i>K<sub>v</sub></i><span>&nbsp;</span>(whole egg and egg contents), 0.547 for<span>&nbsp;</span><i>K<sub>w</sub></i><span>&nbsp;</span>(whole egg), and 0.524 for<span>&nbsp;</span><i>K<sub>w</sub></i><span>&nbsp;</span>(egg contents only). In addition, we documented expected declines in egg mass over time due to incubation (–0.22 g/d) and desiccation during storage (–0.03 g/d), that should be accounted for prior to analyses that use egg mass of freshly laid eggs.</p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/21-00057","usgsCitation":"Herzog, M.P., Ackerman, J.T., and Hartman, C.A., 2021, Egg morphometrics and egg shape coefficients for White-faced Ibis (Plegadis chihi): The Wilson Journal of Ornithology, v. 133, no. 1, p. 158-162, https://doi.org/10.1676/21-00057.","productDescription":"6 p.","startPage":"158","endPage":"162","ipdsId":"IP-118295","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":436480,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WMOG4Z","text":"USGS data release","linkHelpText":"Egg Morphometric Data Obtained for White-faced Ibis Nesting in Bear River Migratory Bird Refuge, Great Salt Lake, Utah (2010-2012)"},{"id":395215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Bear River Migratory Bird Refuge, Great Salt Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.862548828125,\n              41.740577910570785\n            ],\n            [\n              -112.7362060546875,\n              41.740577910570785\n            ],\n            [\n              -112.642822265625,\n              41.55792157780418\n            ],\n            [\n              -112.5494384765625,\n              41.47977575214487\n            ],\n            [\n              -112.42584228515625,\n              41.49623534616764\n            ],\n 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0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":832468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":832469,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70221153,"text":"70221153 - 2021 - Tarentola annularis (white-spotted wall gecko)","interactions":[],"lastModifiedDate":"2021-09-20T14:55:41.312299","indexId":"70221153","displayToPublicDate":"2021-03-01T09:51:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>Tarentola annularis</i> (white-spotted wall gecko)","title":"Tarentola annularis (white-spotted wall gecko)","docAbstract":"<p>USA: CALIFORNIA: Orange Co.: San Juan Capistrano (33.51°N,117.66°W; WGS 84). 25 August 2020. Samuel Fisher, Chelsea Martin, Robert Fisher. Verified by Gregory B. Pauly. Natural History Museum of Los Angeles County (LACM 191974). New county record. One juvenile (33 mm SVL) was collected, and another juvenile was seen 40 m away. Another juvenile was also observed during a second visit to the site on 19 September 2020. Wall geckos were first documented at this site since at least 2019 by Gary Nafis (G. Nafis, pers. comm. and as posted on www.californiaherps.com; 23 Aug 2020). Given that multiple individuals were observed at this site over 2 mo, this appears to be an established population. Invasive <i>T. annularis</i> were first detected in California in Redlands, San Bernardino County in the early 2000s (Wilcox et al. 2014. Herpetol. Rev. 45:464). This new Orange County population is ca. 80 km SW of the other known California population. While <i>T. annularis</i> has not spread much in the downtown urban center in Redlands over the last 20 years (S. Fisher, unpubl. data), it is possible it might expand its range more rapidly in a less urbanized habitat if there were more landscaping and natural features present. The only other published records for North America are from Florida where they are also invasive, and they have been known since the 1990s from several locations and continued to spread (Krysko et al. 2016. IRCF Rept. Amphib. 23:110-143). In the native range of <i>T. annularis</i> their habitat consists of desert, indicating that even though they are able to breed and persist in coastal Orange County they may not be in the optimal habitat (Ibrahim 2004. Zool. Middle East 31:23–38). A potential concern is that if <i>T. annularis</i> becomes more widespread in Southern California, they could present a risk to endemic nocturnal rock-dwelling species such as <i>Xantusia henshawi</i> and <i>Phyllodactylus nocticolus</i> because <i>T. annularis</i> has been shown to engage in saurophagy (Ibrahim 2004, op. cit.). It is much larger than these species (X<i>antusia henshawi</i> SVL = 70 mm; <i>Phyllodactylus nocticolus</i> SVL = 63 mm; <i>Tarentola</i> SVL = 108 mm) and well adapted to desert habitats where it could be a potential predator or competitor.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Fisher, S., Martin, C.E., and Fisher, R.N., 2021, Tarentola annularis (white-spotted wall gecko): Herpetological Review, v. 52, no. 1.","productDescription":"1 p.","startPage":"85","ipdsId":"IP-128505","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":389481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange County","city":"San Juan Capistrano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.67378807067873,\n              33.49330726228523\n            ],\n            [\n              -117.65027046203613,\n              33.49330726228523\n            ],\n            [\n              -117.65027046203613,\n              33.51477815748719\n            ],\n            [\n              -117.67378807067873,\n              33.51477815748719\n            ],\n            [\n              -117.67378807067873,\n              33.49330726228523\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, Samuel R","contributorId":225265,"corporation":false,"usgs":false,"family":"Fisher","given":"Samuel R","affiliations":[{"id":41086,"text":"La Sierra University","active":true,"usgs":false}],"preferred":false,"id":816868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Chelsea E","contributorId":259234,"corporation":false,"usgs":false,"family":"Martin","given":"Chelsea","email":"","middleInitial":"E","affiliations":[{"id":52330,"text":"Loma Linda University","active":true,"usgs":false}],"preferred":false,"id":816869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816870,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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