{"pageNumber":"391","pageRowStart":"9750","pageSize":"25","recordCount":184617,"records":[{"id":70230644,"text":"70230644 - 2022 - A comparison of monitoring designs to assess wildlife community parameters across spatial scales","interactions":[],"lastModifiedDate":"2022-09-01T14:32:16.268147","indexId":"70230644","displayToPublicDate":"2022-04-07T09:04:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of monitoring designs to assess wildlife community parameters across spatial scales","docAbstract":"<p><span>Dedicated long-term monitoring at appropriate spatial and temporal scales is necessary to understand biodiversity losses and develop effective conservation plans. Wildlife monitoring is often achieved by obtaining data at a combination of spatial scales, ranging from local to broad, to understand the status, trends, and drivers of individual species or whole communities and their dynamics. However, limited resources for monitoring necessitates tradeoffs in the scope and scale of data collection. Careful consideration of the spatial and temporal allocation of finite sampling effort is crucial for monitoring programs that span multiple spatial scales. Here we evaluate the ability of five monitoring designs - stratified random, weighted effort, indicator unit, rotating panel, and split panel - to recover parameter values that describe the status (occupancy), trends (change in occupancy), and drivers (spatially-varying covariate and an autologistic term) of wildlife communities at two spatial scales. Using an amphibian monitoring program that spans a network of U.S. National Parks as a motivating example, we conducted a simulation study for a regional community occupancy sampling program to compare the monitoring designs across varying levels of sampling effort (ranging from 10 to 50%). We found that the stratified random design outperformed the other designs for most parameters of interest at both scales, and was thus generally preferable in balancing the estimation of status, trends, and drivers across scales. However, we found that other designs had improved performance in specific situations. For example, the rotating panel design performed best at estimating spatial drivers at a regional level. Thus, our results highlight the nuanced scenarios in which various design strategies may be preferred, and offer guidance as to how managers can balance common tradeoffs in large-scale and long-term monitoring programs in terms of the specific knowledge gained. Monitoring designs that improve accuracy in parameter estimates are needed to guide conservation policy and management decisions in the face of broad-scaled environmental challenges, but the preferred design is sensitive to the specific objectives of a monitoring program.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2621","usgsCitation":"Wright, A., Campbell Grant, E.H., and Zipkin, E., 2022, A comparison of monitoring designs to assess wildlife community parameters across spatial scales: Ecological Applications, v. 32, no. 6, e2621, 13 p., https://doi.org/10.1002/eap.2621.","productDescription":"e2621, 13 p.","ipdsId":"IP-131418","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":399081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Alexander","contributorId":238924,"corporation":false,"usgs":false,"family":"Wright","given":"Alexander","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":840983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":840984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":840985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228937,"text":"ofr20221001 - 2022 - Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis","interactions":[],"lastModifiedDate":"2022-04-07T16:36:11.779624","indexId":"ofr20221001","displayToPublicDate":"2022-04-07T08:28:05","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1001","displayTitle":"Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30) Cropland-Extent Products—Download Analysis","title":"Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis","docAbstract":"<h1>Introduction</h1><p>The global food-security-support-analysis data at 30-meter resolution (GFSAD30) cropland-extent product is a project to provide high-resolution global cropland-extent data relating to water use. It is the first global-land-cover map focusing exclusively on agriculture with a 30-meter spatial resolution. The overarching goal of the GFSAD30 project is to produce consistent and unbiased estimates of global agricultural cropland products such as cropland extent; cropland types; irrigated versus rainfed cropland; cropping intensities; and spatial and temporal (from 2000 to 2017) changes in cropland extent.</p><p>The goal of this report is to assess and discuss the usage of the GFSAD30 project’s cropland-extent product. Since the public release of GFSAD30 in November 2017, the number of files downloaded has been tracked, as well as the total size of files downloaded, the country from which the GFSAD30 data were downloaded, and the user’s field of study. This report presents a monthly assessment of the usage of GFSAD30 from November 2017 through December 2019. During this period, about 1,900 gigabytes of data and about 225,000 files were downloaded by users in more than 100 countries. This report also includes how GFSAD30 has been cited in media, scientific journals, and other data products. The release of data was widely covered by the national and international press, and GFSAD30 products have been cited more than 200 times in scientific journals.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20221001","usgsCitation":"Oliphant, A., Thenkabail, P., and Teluguntla, P., 2022, Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download analysis: U.S. Geological Survey Open-File Report 2022–1001, 20 p., https://doi.org/10.3133/ofr20221001.","productDescription":"Report: vi, 20 p.; Data Release","ipdsId":"IP-119165","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":398273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1001/covrthb.jpg"},{"id":398276,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HOIB7S","text":"Download rates of the global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products","description":"Oliphant, A.J., Thenkabail, P.S., and Teluguntla, P., 2022, Download rates of the global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products: U.S. Geological Survey data release, https://doi.org/10.5066/P9HOIB7S."},{"id":398274,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1001/ofr20221001.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"<p><a href=\"https://www.usgs.gov/centers/wgsc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wgsc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/wgsc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wgsc/\">Western Geographic Science Center&nbsp;</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>350 N. Akron Rd.&nbsp;<br>Moffett Field, CA 94035&nbsp;</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Purpose and Scope&nbsp;&nbsp;</li><li>Methodology</li><li>Product Definitions</li><li>Usage of Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30)&nbsp;&nbsp;</li><li>Conclusions&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1. References for GFSAD30 Products&nbsp;&nbsp;</li><li>Appendix 2. References for GFSAD30 Product Documentation&nbsp;&nbsp;</li><li>Appendix 3. References for Peer-Reviewed Scientific Journal Publications Associated with Southeast Asia&nbsp;&nbsp;</li><li>Appendix 4. References for Other Online Sources that Mention GFSAD30&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-04-07","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teluguntla, Pardhasaradhi 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":211780,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266443,"text":"70266443 - 2022 - Phoretic sharksuckers (Echeneis naucrates) associated with an elasmobranch host occupy higher relative trophic positions","interactions":[],"lastModifiedDate":"2025-05-07T15:48:28.968317","indexId":"70266443","displayToPublicDate":"2022-04-07T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Phoretic sharksuckers (Echeneis naucrates) associated with an elasmobranch host occupy higher relative trophic positions","docAbstract":"<p><span>The relationship between phoretic diskfishes and their hosts is a classic example of marine symbiosis, yet surprisingly few studies have quantified this trophic relationship. We investigated the hypothesis that by consuming host parasites and prey scraps phoretic diskfishes (Echeneidae) feed at a higher relative trophic position than free-living individuals through expanded foraging opportunities. We used carbon and nitrogen stable isotope analysis of muscle tissue from both free-living and commensal sharksuckers&nbsp;</span><i>Echeneis naucrates</i><span>&nbsp;and their hosts, supplemented with gut-content analysis, to investigate this hypothesis. Our analysis revealed that commensal sharksuckers likely occupy higher relative trophic positions than free-living sharksuckers. The importance of scavenging host prey decreased ontogenetically as sharksuckers shifted from symbiotic phoresis to free-swimming behavior, leading to an ontogenetic change in which obligately commensal juveniles occupy higher trophic positions than free-living adults which are only facultatively commensal. Relative differences in δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N among individual host-commensal pairs varied among host species, suggesting potential differences in foraging opportunities among host taxa.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14002","usgsCitation":"Peterson, C.T., Bachman, B.A., Kraus, R., and Grubbs, R., 2022, Phoretic sharksuckers (Echeneis naucrates) associated with an elasmobranch host occupy higher relative trophic positions: Marine Ecology Progress Series, v. 687, p. 125-132, https://doi.org/10.3354/meps14002.","productDescription":"8 p.","startPage":"125","endPage":"132","ipdsId":"IP-098141","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":485510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"687","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Cheston T.","contributorId":209973,"corporation":false,"usgs":false,"family":"Peterson","given":"Cheston","email":"","middleInitial":"T.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":935980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachman, Beverly A.","contributorId":209972,"corporation":false,"usgs":false,"family":"Bachman","given":"Beverly","email":"","middleInitial":"A.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":935981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grubbs, R. Dean","contributorId":354612,"corporation":false,"usgs":false,"family":"Grubbs","given":"R. Dean","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":935983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230301,"text":"dr1153 - 2022 - Quality of surface water in Missouri, water year 2020","interactions":[],"lastModifiedDate":"2026-03-16T20:01:23.734918","indexId":"dr1153","displayToPublicDate":"2022-04-06T14:37:17","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1153","displayTitle":"Quality of Surface Water in Missouri, Water Year 2020","title":"Quality of surface water in Missouri, water year 2020","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, monitors stations designed for the Ambient Water-Quality Monitoring Network, a collection of stations that monitor streams and springs in Missouri. During water year 2020 (October 1, 2019, through September 30, 2020), the U.S. Geological Survey collected water-quality data at 72 stations: 70 Ambient Water-Quality Monitoring stations and 2 U.S. Geological Survey National Water Quality Network stations. Among the stations in this report, four stations have data from additional sampling completed in cooperation with the U.S. Army Corps of Engineers. Water-quality analyses are provided for dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, <i>Escherichia coli</i> bacteria, fecal coliform bacteria, dissolved nitrate plus nitrite as nitrogen, total phosphorus, dissolved and total recoverable lead and zinc, and selected pesticide compounds. Monitoring stations have been classified based on the physiographic province or primary land use in the watershed or based on the unique hydrologic characteristics of the waterbodies (springs, large rivers) monitored. A summary of hydrologic conditions including peak streamflows, monthly mean streamflows, and 7-day low flows also are provided for representative streamgages in the State.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1153","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Buckley, C.E., 2022, Quality of surface water in Missouri, water year 2020: U.S. Geological Survey Data Report 1153, 24 p., https://doi.org/10.3133/dr1153.","productDescription":"Report: vii, 24 p.; Dataset","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-129885","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":398244,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the 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 \"}}]}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>The Ambient Water-Quality Monitoring Network</li><li>Laboratory Reporting Conventions</li><li>Surface-Water-Quality Data Analysis Methods</li><li>Station Classification for Data Analysis</li><li>Hydrologic Conditions</li><li>Distribution, Concentration, and Detection Frequency of Selected Constituents</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-04-06","noUsgsAuthors":false,"publicationDate":"2022-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Buckley, Camille E. 0000-0002-1692-5644","orcid":"https://orcid.org/0000-0002-1692-5644","contributorId":289852,"corporation":false,"usgs":false,"family":"Buckley","given":"Camille","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":839922,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70232503,"text":"70232503 - 2022 - Integrating growth and survival models for flexible estimation of size-dependent survival in a cryptic, endangered snake","interactions":[],"lastModifiedDate":"2022-07-06T15:30:59.002784","indexId":"70232503","displayToPublicDate":"2022-04-06T10:22:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating growth and survival models for flexible estimation of size-dependent survival in a cryptic, endangered snake","docAbstract":"<p><span>Estimates of demographic rates for animal populations and individuals have many applications for ecological and conservation research. In many animals, survival is size-dependent, but estimating the form of the size–survival relationship presents challenges. For elusive species with low recapture rates, individuals’ size will be unknown at many points in time. Integrating growth and capture–mark–recapture models in a Bayesian framework empowers researchers to impute missing size data, with uncertainty, and include size as a covariate of survival, capture probability, and presence on-site. If there is no theoretical expectation for the shape of the size–survival relationship, spline functions can allow for fitting flexible, data-driven estimates. We use long-term capture–mark–recapture data from the endangered San Francisco gartersnake (</span><i>Thamnophis sirtalis tetrataenia</i><span>) to fit an integrated growth–survival model. Growth models showed that females reach longer asymptotic lengths than males and that the magnitude of sexual size dimorphism differed among populations. The capture probability and availability of San Francisco gartersnakes for capture increased with snout–vent length. The survival rate of female snakes exhibits a nonlinear relationship with snout–vent length (SVL), with survival flat between 300&nbsp;mm and 550&nbsp;mm SVL before decreasing for females between 550&nbsp;mm and 700&nbsp;mm SVL. For male snakes, survival decreased for adult males &gt;550&nbsp;mm SVL. The survival rates of the smallest and largest San Francisco gartersnakes were highly uncertain because recapture rates were very low for these sizes. By integrating growth and survival models and using penalized splines, we found support for size-dependent survival in San Francisco gartersnakes. Our results have applications for devising management activities for this endangered subspecies, and our methods could be applied broadly to the study of size-dependent demography among animals.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8799","usgsCitation":"Rose, J.P., Kim, R., Schoenig, E.J., Lien, P.C., and Halstead, B., 2022, Integrating growth and survival models for flexible estimation of size-dependent survival in a cryptic, endangered snake: Ecology and Evolution, v. 12, no. 4, e8799, 15 p., https://doi.org/10.1002/ece3.8799.","productDescription":"e8799, 15 p.","ipdsId":"IP-132803","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":448199,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8799","text":"Publisher Index Page"},{"id":435891,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SC36I8","text":"USGS data release","linkHelpText":"Growth and Capture-Mark-Recapture Data for San Francisco Gartersnakes, Thamnophis sirtalis tetrataenia, in San Mateo County, California from 2007 to 2020"},{"id":435890,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9700BBK","text":"USGS data release","linkHelpText":"Code to analyze Capture-Mark-Recapture data of San Francisco gartersnakes (Thamnophis sirtalis tetrataenia)"},{"id":403070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Mateo County, Santa Cruz County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.51129150390625,\n  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rkim@usgs.gov","orcid":"https://orcid.org/0000-0001-5891-0582","contributorId":204478,"corporation":false,"usgs":true,"family":"Kim","given":"Richard","email":"rkim@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":845709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenig, Elliot James 0000-0002-7217-315X eschoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-7217-315X","contributorId":291497,"corporation":false,"usgs":true,"family":"Schoenig","given":"Elliot","email":"eschoenig@usgs.gov","middleInitial":"James","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":845710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lien, Patrick C. 0000-0001-7183-0878","orcid":"https://orcid.org/0000-0001-7183-0878","contributorId":291498,"corporation":false,"usgs":true,"family":"Lien","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":845711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":845712,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230253,"text":"70230253 - 2022 - Importance of local weather and environmental gradients on demography of a broadly distributed temperate frog","interactions":[],"lastModifiedDate":"2022-04-06T14:30:50.755385","indexId":"70230253","displayToPublicDate":"2022-04-06T09:20:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Importance of local weather and environmental gradients on demography of a broadly distributed temperate frog","docAbstract":"<p id=\"sp0010\">Amphibian populations are sensitive to environmental temperatures and moisture, which vary with local weather conditions and may reach new norms and extremes as contemporary climate change progresses. Using long-term (11–16&nbsp;years) mark-recapture data from 10 populations of the Columbia spotted frog (<i>Rana luteiventris</i>) from across its U.S. range, we addressed hypotheses about how demographic relationships to weather depend upon a population’s position along climate gradients. We estimated the effect of seasonal weather on annual survival probability and recruitment rates both within populations and across the species’ range from subalpine forests to semi-arid deserts. We calculated population-specific weather variables that captured seasonal temperature and precipitation between summer sampling events, both for periods when frogs were active (spring to fall) and inactive (winter). Across all populations, we marked 15,885 adult frogs, with 33% of frogs recaptured at least once. Population demography varied with seasonal weather across the species’ range. Annual adult survival probability and recruitment rates of each population were influenced by a unique set of seasonal temperature and precipitation variables, particularly in winter and spring. Hence, adult survival varied with local conditions but, when analyzed across all populations, was predictable along a species-environment response curve associated with the timing of snowmelt and spring moisture. In contrast, recruitment rates for each population peaked at different values along an environmental gradient associated with the amount of snow during winter, and fall temperature and moisture levels, suggesting that recruitment may be responding to local conditions independently within each population. These findings highlight that sampling across the environmental (i.e., elevational and meteorological) gradients within a species range is necessary to predict species-level responses to regional climate change. This study also provides evidence of the importance of winter conditions on the demography of temperate amphibians, conditions that are already responding to climate change. Finally, this study further emphasizes that local context and spatiotemporal scale of inquiry remain paramount to understanding and potentially managing for climate effects on populations of amphibian species with broad geographic ranges.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.108648","usgsCitation":"Pilliod, D., McCaffery, R.M., Arkle, R., Scherer, R.D., Cupples, J.B., Eby, L.A., Hossack, B., Lingo, H., Lohr, K.N., Maxell, B.A., McGuire, M.J., Mellison, C., Meyer, M.K., Munger, J.C., Slatauski, T., and Van Horne, R., 2022, Importance of local weather and environmental gradients on demography of a broadly distributed temperate frog: Ecological Indicators, v. 136, 108648, 12 p., https://doi.org/10.1016/j.ecolind.2022.108648.","productDescription":"108648, 12 p.","ipdsId":"IP-064164","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":448202,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.108648","text":"Publisher Index Page"},{"id":398218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.1142578125,\n              38.58252615935333\n            ],\n            [\n              -114.01611328125,\n              41.95131994679697\n            ],\n            [\n              -113.895263671875,\n              46.445427497233844\n            ],\n            [\n              -118.311767578125,\n              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0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":216339,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scherer, Rick D.","contributorId":97368,"corporation":false,"usgs":false,"family":"Scherer","given":"Rick","email":"","middleInitial":"D.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":839718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cupples, Jacqueline B.","contributorId":289741,"corporation":false,"usgs":false,"family":"Cupples","given":"Jacqueline","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":839719,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eby, Lisa A.","contributorId":42910,"corporation":false,"usgs":true,"family":"Eby","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":839720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science 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K.","contributorId":289751,"corporation":false,"usgs":false,"family":"Meyer","given":"Marisa","email":"","middleInitial":"K.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":839727,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Munger, James C.","contributorId":29377,"corporation":false,"usgs":true,"family":"Munger","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":839728,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Slatauski, Teri","contributorId":289755,"corporation":false,"usgs":false,"family":"Slatauski","given":"Teri","email":"","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":839729,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Van Horne, Rachel","contributorId":216072,"corporation":false,"usgs":false,"family":"Van Horne","given":"Rachel","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":839730,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70230266,"text":"70230266 - 2022 - A golden era for volcanic gas geochemistry?","interactions":[],"lastModifiedDate":"2022-04-06T14:10:20.550029","indexId":"70230266","displayToPublicDate":"2022-04-06T09:07:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"A golden era for volcanic gas geochemistry?","docAbstract":"The exsolution, rise, expansion, and separation of volatiles from magma provides the driving force behind both effusive and explosive volcanic eruptions. The field of volcanic gas geochemistry therefore plays a key role in understanding volcanism. In this article, we summarize the most important findings of the past few decades and how these shape today’s understanding of volcanic degassing. We argue that the recent advent of automated, continuous geochemical monitoring at volcanoes now allows us to track activity from unrest to eruption, thus providing valuable insights into the behavior of volatiles throughout the entire sequence. In the next 10 years, the research community stands to benefit from the expansion of geochemical monitoring networks to many more active volcanoes. This, along with technical advances in instrumentation, and in particular the increasing role that unoccupied aircraft systems (UAS) and satellite-based observations are likely to play in collecting volcanic gas measurements, will provide a rich dataset for testing hypotheses and developing diagnostic tools for eruption forecasts. The use of consistent, well-documented analytical methods and ensuring free, public access to the collected data with few restrictions will be most beneficial to the advancement of volcanic gas science.","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01556-6","usgsCitation":"Kern, C., Aiuppa, A., and de Moor, J.M., 2022, A golden era for volcanic gas geochemistry?: Bulletin of Volcanology, v. 84, 43, 11 p., https://doi.org/10.1007/s00445-022-01556-6.","productDescription":"43, 11 p.","ipdsId":"IP-137886","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467187,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10447/576295","text":"External Repository"},{"id":398212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":839750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiuppa, Alessandro","contributorId":173677,"corporation":false,"usgs":false,"family":"Aiuppa","given":"Alessandro","affiliations":[{"id":27272,"text":"Dipartimento DiSTeM, Università di Palermo, Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":839751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Moor, J. Maarten","contributorId":148063,"corporation":false,"usgs":false,"family":"de Moor","given":"J.","email":"","middleInitial":"Maarten","affiliations":[{"id":16987,"text":"OVSICORI, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":839752,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230271,"text":"70230271 - 2022 - Late season movement and habitat use by Oregon spotted frog (Rana pretiosa) in a large reservoir in Oregon, USA","interactions":[],"lastModifiedDate":"2022-04-06T13:52:43.765634","indexId":"70230271","displayToPublicDate":"2022-04-06T08:46:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Late season movement and habitat use by Oregon spotted frog (<i>Rana pretiosa</i>) in a large reservoir in Oregon, USA","title":"Late season movement and habitat use by Oregon spotted frog (Rana pretiosa) in a large reservoir in Oregon, USA","docAbstract":"<p id=\"ID0EF\" class=\"first\">Dam-created reservoirs are common landscape features that can provide habitat for amphibians, but their water level fluctuations and nonnative predators can differ markedly from more natural habitats. We compared fall movement and habitat use by the Oregon Spotted Frog (<i>Rana pretiosa</i>) in the reservoir pool with nearby river and pond habitats at Crane Prairie Reservoir in central Oregon, USA. Movement rate of frogs in the river and ponds declined as water temperature cooled. Reservoir frogs moved further than those in the river or ponds, and their movement rate increased as water temperature cooled. Most frog locations across all site types were in aquatic herbaceous vegetation. We did not find shifts in habitat between early and late fall. Increased movement and the lack of habitat shift in our reservoir frogs deeper into fall contrast with<span>&nbsp;</span><i>R. pretiosa</i><span>&nbsp;</span>in non-reservoir sites in this study and others. Consistent use of vegetation by reservoir frogs throughout the fall could indicate cover use in presence of fish predators. Our study provides additional detail on the range of habitats used by<span>&nbsp;</span><i>R. pretiosa</i><span>&nbsp;</span>in fall and suggests areas for further work to improve survival in constructed sites with abundant fish predators.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/20-060","usgsCitation":"Pearl, C., Rowe, J., McCreary, B., and Adams, M.J., 2022, Late season movement and habitat use by Oregon spotted frog (Rana pretiosa) in a large reservoir in Oregon, USA: Journal of Herpetology, v. 56, no. 1, p. 8-17, https://doi.org/10.1670/20-060.","productDescription":"10 p.","startPage":"8","endPage":"17","ipdsId":"IP-118882","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":435892,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DACPCV","text":"USGS data release","linkHelpText":"Oregon spotted frog (Rana pretiosa) 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43.74828114490795\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":839764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Jennifer 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":172670,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":839765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCreary, Brome 0000-0002-0313-7796 brome_mccreary@usgs.gov","orcid":"https://orcid.org/0000-0002-0313-7796","contributorId":3130,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","email":"brome_mccreary@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":839766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839767,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230268,"text":"70230268 - 2022 - Climate refugia for Pinus spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States","interactions":[],"lastModifiedDate":"2022-05-13T15:05:40.788078","indexId":"70230268","displayToPublicDate":"2022-04-06T08:33:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Climate refugia for <i>Pinus</i> spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States","title":"Climate refugia for Pinus spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States","docAbstract":"<p>Climate refugia, or places where habitats are expected to remain relatively buffered from regional climate extremes, provide an important focus for science and conservation planning. Within high-priority, multi-jurisdictional landscapes like the Madrean sky islands of the United States and México, efforts to identify and manage climate refugia are hindered by the lack of high-quality and consistent transboundary datasets. To fill these data gaps, we assembled a bi-national field dataset (<i>n</i> = 1416) for five pine species (<i>Pinus</i><span>&nbsp;</span>spp.) and used generalized boosted regression to model pine habitats in relation to topographic variability as a basis for identifying potential microrefugia at local scales in the context of current species’ distribution patterns. We developed additional models to quantify climatic refugial attributes using coarse scale bioclimatic variables and finer scale seasonal remote sensing indices. Terrain metrics including ruggedness, slope position, and aspect defined microrefugia for pines within elevation ranges preferred by each species. Response to bioclimatic variables indicated that small shifts in climate were important to some species (e.g.,<span>&nbsp;</span><i>P. chihuahuana, P. strobiformis</i>), but others exhibited a broader tolerance (e.g.,<span>&nbsp;</span><i>P. arizonica</i>). Response to seasonal climate was particularly important in modeling microrefugia for species with open canopy structure and where regular fires occur (e.g.,<span>&nbsp;</span><i>P. engelmannii</i><span>&nbsp;</span>and<span>&nbsp;</span><i>P. chihuahuana</i>). Hotspots of microrefugia differed among species and were either limited to northern islands or occurred across central or southern latitudes. Mapping and validation of refugia and their ecological functions are necessary steps in developing regional conservation strategies that cross jurisdictional boundaries. A salient application will be incorporation of climate refugia in management of fire to restore and maintain pine ecology.</p>","language":"English","doi":"10.1007/s11258-022-01233-w","usgsCitation":"Haire, S.L., Villarreal, M.L., Cortes Montano, C., Flesch, A.D., Iniguez, J.M., Romo-Leon, J.R., and Sanderlin, J.S., 2022, Climate refugia for Pinus spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States: Plant Ecology, v. 223, p. 577-598, https://doi.org/10.1007/s11258-022-01233-w.","productDescription":"22 p.","startPage":"577","endPage":"598","ipdsId":"IP-121574","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":448208,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11258-022-01233-w","text":"Publisher Index Page"},{"id":435893,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CLBAF7","text":"USGS data release","linkHelpText":"Pine species distribution maps of the Madrean Sky Islands, United States and Mexico"},{"id":398205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"México, United States","state":"Arizona, Chihuahua, New Mexico, Sonora","otherGeospatial":"Madrean Archipelago Ecoregion, Madrean Sky Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.19238281249999,\n              28.013801376380712\n            ],\n            [\n              -107.677001953125,\n              28.013801376380712\n            ],\n            [\n              -107.677001953125,\n              33.169743600216165\n            ],\n            [\n              -112.19238281249999,\n              33.169743600216165\n            ],\n            [\n              -112.19238281249999,\n              28.013801376380712\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"223","noUsgsAuthors":false,"publicationDate":"2022-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Haire, Sandra L. 0000-0002-5356-7567","orcid":"https://orcid.org/0000-0002-5356-7567","contributorId":213971,"corporation":false,"usgs":false,"family":"Haire","given":"Sandra","email":"","middleInitial":"L.","affiliations":[{"id":32362,"text":"Haire Laboratory for Landscape Ecology","active":true,"usgs":false}],"preferred":false,"id":839753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":839754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cortes Montano, Citlali 0000-0002-1916-1985","orcid":"https://orcid.org/0000-0002-1916-1985","contributorId":213973,"corporation":false,"usgs":false,"family":"Cortes Montano","given":"Citlali","email":"","affiliations":[{"id":38945,"text":"Universidad Juárez del Estado de Durango","active":true,"usgs":false}],"preferred":false,"id":839755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flesch, Aaron D. 0000-0003-3434-0778","orcid":"https://orcid.org/0000-0003-3434-0778","contributorId":245372,"corporation":false,"usgs":false,"family":"Flesch","given":"Aaron","email":"","middleInitial":"D.","affiliations":[{"id":49169,"text":"School of Natural Resources and the Environment and The Desert Laboratory on Tumamoc Hill, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":839756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iniguez, Jose M. 0000-0002-4566-1297","orcid":"https://orcid.org/0000-0002-4566-1297","contributorId":213972,"corporation":false,"usgs":false,"family":"Iniguez","given":"Jose","email":"","middleInitial":"M.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":839757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romo-Leon, Jose Raul 0000-0001-8946-9005","orcid":"https://orcid.org/0000-0001-8946-9005","contributorId":289774,"corporation":false,"usgs":false,"family":"Romo-Leon","given":"Jose","email":"","middleInitial":"Raul","affiliations":[{"id":40545,"text":"Universidad de Sonora","active":true,"usgs":false}],"preferred":false,"id":839758,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderlin, Jamie S. 0000-0001-8651-9804","orcid":"https://orcid.org/0000-0001-8651-9804","contributorId":245373,"corporation":false,"usgs":false,"family":"Sanderlin","given":"Jamie","email":"","middleInitial":"S.","affiliations":[{"id":49171,"text":"US Forest Service, Rocky Mountain Research Station, Flagstaff, Arizona","active":true,"usgs":false}],"preferred":false,"id":839759,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70230928,"text":"70230928 - 2022 - Reassessing perennial cover as a driver of duck nest survival in the Prairie Pothole Region","interactions":[],"lastModifiedDate":"2022-07-07T16:51:56.644528","indexId":"70230928","displayToPublicDate":"2022-04-06T08:23:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Reassessing perennial cover as a driver of duck nest survival in the Prairie Pothole Region","docAbstract":"<p><span>Conservation plans designed to sustain North American duck populations prominently feature a key hypothesis stating that the amount of the landscape in perennial cover surrounding upland duck nests positively influences nest survival rates. Recent conflicting research testing this hypothesis creates ambiguity regarding which management actions to pursue and where to prioritize conservation delivery. We compared existing models and new formulations of existing models explaining spatiotemporal variation in nest survival using independent data documenting the fate of &gt;20,000 duck nests within the Drift Prairie, Missouri Coteau, and Prairie Coteau physiographic regions of the United States Prairie Pothole Region during 2002–2018. Our results suggest an inconsistent relationship between perennial cover and survival of upland duck nests, which depended upon physiographic region and current and time-lagged landscape and environmental conditions. The magnitude and direction of how perennial cover correlated with daily nest survival depended on its dominance as a landcover type. A positive relationship existed when perennial cover was a minor component of landcover in all physiographic regions (&lt;30% of a 10.4-km</span><sup>2</sup><span>&nbsp;area) and, in the Drift Prairie and Prairie Coteau, when perennial cover was the dominant landcover type (&gt;60%). A constant or negative relationship was predicted at locations of about 30–60% perennial cover. Additionally, environmental conditions (i.e., density of wetlands and estimated gross primary productivity in the previous year) moderated or enhanced the effect of perennial cover on nest survival, depending on physiographic region. Our finding of inconsistency in the relationship between perennial cover and nest survival contradicts the conservation premise that nest survival universally increases linearly when uplands are converted to perennial cover. Promoting policies and management actions designed to increase perennial cover can be expected to be situationally but not consistently associated with higher survival of upland duck nests.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22227","usgsCitation":"Pearse, A.T., Anteau, M.J., Post van der Burg, M., Sherfy, M.H., Buhl, T.K., and Shaffer, T.L., 2022, Reassessing perennial cover as a driver of duck nest survival in the Prairie Pothole Region: Journal of Wildlife Management, v. 86, no. 5, e22227, 18 p., https://doi.org/10.1002/jwmg.22227.","productDescription":"e22227, 18 p.","ipdsId":"IP-131885","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":448210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22227","text":"Publisher Index Page"},{"id":399807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Prairie Potholes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.70166015624999,\n              42.8115217450979\n            ],\n            [\n              -96.416015625,\n              43.389081939117496\n            ],\n            [\n              -96.416015625,\n              44.33956524809713\n            ],\n            [\n              -96.48193359375,\n              45.38301927899065\n            ],\n            [\n              -96.78955078125,\n              45.583289756006316\n            ],\n            [\n              -96.48193359375,\n              45.93587062119052\n            ],\n            [\n              -96.6357421875,\n              46.45299704748289\n            ],\n            [\n              -97.75634765625,\n              47.368594345213374\n            ],\n            [\n              -98.15185546874999,\n              48.93693495409401\n            ],\n            [\n              -106.3916015625,\n              49.009050809382046\n            ],\n            [\n              -105.44677734375,\n              47.916342040161155\n            ],\n            [\n              -101.31591796875,\n              46.9052455464292\n            ],\n            [\n              -100.96435546875,\n              46.164614496897094\n            ],\n            [\n              -100.74462890625,\n              44.63739123445585\n            ],\n            [\n              -98.98681640625,\n              43.11702412135048\n            ],\n            [\n              -96.70166015624999,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":841655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":841657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buhl, Thomas K. 0000-0001-9909-3419 tbuhl@usgs.gov","orcid":"https://orcid.org/0000-0001-9909-3419","contributorId":3934,"corporation":false,"usgs":true,"family":"Buhl","given":"Thomas","email":"tbuhl@usgs.gov","middleInitial":"K.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841659,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230983,"text":"70230983 - 2022 - Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities","interactions":[],"lastModifiedDate":"2022-06-01T15:23:31.059169","indexId":"70230983","displayToPublicDate":"2022-04-06T06:54:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Anaerobic digestion has been suggested as an intervention to attenuate antibiotic resistance genes (ARGs) in livestock manure but supporting data have typically been collected at laboratory scale. Few studies have quantified ARG fate during full-scale digestion of livestock manure. We sampled untreated manure and digestate from seven full-scale mesophilic dairy manure digesters to assess ARG fate through each system. Samples were collected biweekly from December through August (i.e., winter, spring, and summer;<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;235 total) and analyzed by quantitative polymerase chain reaction for<span>&nbsp;</span><i>intI1</i>,<span>&nbsp;</span><i>erm</i>(B),<span>&nbsp;</span><i>sul1</i>,<span>&nbsp;</span><i>tet</i>(A), and<span>&nbsp;</span><i>tet</i>(W). Concentrations of<span>&nbsp;</span><i>intI1</i>,<span>&nbsp;</span><i>sul1</i>, and<span>&nbsp;</span><i>tet</i>(A) decreased during anaerobic digestion, but their removal was less extensive than expected based on previous laboratory studies. Removal for<span>&nbsp;</span><i>intI1</i><span>&nbsp;</span>during anaerobic digestion equaled 0.28 ± 0.03 log<sub>10</sub><span>&nbsp;</span>units (mean ± SE), equivalent to only 48% removal and notable given<span>&nbsp;</span><i>intI1</i>’s role in horizontal gene transfer and multiple resistance. Furthermore,<span>&nbsp;</span><i>tet</i>(W) concentrations were unchanged during anaerobic digestion (<i>p&nbsp;</i>&gt;&nbsp;0.05), and<span>&nbsp;</span><i>erm</i>(B) concentrations increased by 0.52 ± 0.03 log<sub>10</sub><span>&nbsp;</span>units (3.3-fold), which is important given erythromycin's status as a critically important antibiotic for human medicine. Seasonal log<sub>10</sub><span>&nbsp;</span>changes in<span>&nbsp;</span><i>intI1</i>,<span>&nbsp;</span><i>sul1</i>, and<span>&nbsp;</span><i>tet</i>(A) concentrations were ≥50% of corresponding log<sub>10</sub><span>&nbsp;</span>removals by anaerobic digestion, and variation in ARG and<span>&nbsp;</span><i>intI1</i><span>&nbsp;</span>concentrations among digesters was quantitatively comparable to anaerobic digestion effects. These results suggest that mesophilic anaerobic digestion may be limited as an intervention for ARGs in livestock manure and emphasize the need for multiple farm-level interventions to attenuate antibiotic resistance.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.20350","usgsCitation":"Burch, T., Firnstahl, A.D., Spencer, S.K., Larson, R.A., and Borchardt, M.A., 2022, Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities: Journal of Environmental Quality, v. 51, no. 3, p. 352-363, https://doi.org/10.1002/jeq2.20350.","productDescription":"12 p.","startPage":"352","endPage":"363","ipdsId":"IP-133713","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":448212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20350","text":"Publisher Index Page"},{"id":399881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":841746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":841748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Rebecca A.","contributorId":290761,"corporation":false,"usgs":false,"family":"Larson","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":62490,"text":"University of Wisconsin, Department of Biological Systems Engineering","active":true,"usgs":false}],"preferred":false,"id":841749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":841750,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230510,"text":"70230510 - 2022 - Sea-level rise and warming mediate coastal groundwater discharge in the Arctic","interactions":[],"lastModifiedDate":"2022-04-14T11:35:53.794119","indexId":"70230510","displayToPublicDate":"2022-04-06T06:34:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level rise and warming mediate coastal groundwater discharge in the Arctic","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Groundwater discharge is an important mechanism through which fresh water and associated solutes are delivered to the ocean. Permafrost environments have traditionally been considered hydrogeologically inactive, yet with accelerated climate change and permafrost thaw, groundwater flow paths are activating and opening subsurface connections to the coastal zone. While warming has the potential to increase land-sea connectivity, sea-level change has the potential to alter land-sea hydraulic gradients and enhance coastal permafrost thaw, resulting in a complex interplay that will govern future groundwater discharge dynamics along Arctic coastlines. Here, we use a recently developed permafrost hydrological model that simulates variable-density groundwater flow and salinity-dependent freeze-thaw to investigate the impacts of sea-level change and land and ocean warming on the magnitude, spatial distribution, and salinity of coastal groundwater discharge. Results project both an increase and decrease in discharge with climate change depending on the rate of warming and sea-level change. Under high warming and low sea-level rise scenarios, results show up to a 58% increase in coastal groundwater discharge by 2100 due to the formation of a supra-permafrost aquifer that enhances freshwater delivery to the coastal zone. With higher rates of sea-level rise, the increase in discharge due to warming is reduced to 21% as sea-level rise decreased land-sea hydraulic gradients. Under lower warming scenarios for which supra-permafrost groundwater flow was not established, discharge decreased by up to 26% between 1980 and 2100 for high sea-level rise scenarios and increased only 8% under low sea-level rise scenarios. Thus, regions with higher warming rates and lower rates of sea-level change (e.g. northern Nunavut, Canada) will experience a greater increase in discharge than regions with lower warming rates and higher rates of sea-level change. The magnitude, location and salinity of discharge have important implications for ecosystem function, water quality, and carbon dynamics in coastal zones.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac6085","usgsCitation":"Guimond, J., Mohammad, A., Walvoord, M.A., Bense, V.F., and Kurylyk, B.L., 2022, Sea-level rise and warming mediate coastal groundwater discharge in the Arctic: Environmental Research Letters, v. 17, 045027, 11 p., https://doi.org/10.1088/1748-9326/ac6085.","productDescription":"045027, 11 p.","ipdsId":"IP-138042","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":448213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac6085","text":"Publisher Index Page"},{"id":398724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2022-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":840591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohammad, Aaron","contributorId":266044,"corporation":false,"usgs":false,"family":"Mohammad","given":"Aaron","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":840592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":840593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":840610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":840594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230184,"text":"fs20223019 - 2022 - Florida and Landsat","interactions":[],"lastModifiedDate":"2023-01-21T15:54:35.338352","indexId":"fs20223019","displayToPublicDate":"2022-04-05T13:11:48","publicationYear":"2022","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":"2022-3019","displayTitle":"Florida and Landsat","title":"Florida and Landsat","docAbstract":"<p>More than 21 million people call Florida home, but many more visit the peninsula each year—including a record 131 million in 2019. Residents and tourists enjoy the State’s warm weather and varied attractions amid incredibly diverse biological and natural resources. Numerous lakes and rivers, and 8,400 miles of ocean shoreline, play a prominent role, as do unique habitats like the Everglades, which are home to protected species such as the Florida manatee (<i>Trichechus manatus latirostris</i>), American crocodile (<i>Crocodylus acutus</i>), and Florida panther (<i>Puma concolor couguar</i>). The State also supports cattle, sugarcane, and citrus production—along with nearly one-half of the tree species in the United States.</p><p>A changing climate is expected to bring rising sea levels and more extreme weather events. In a State where the average elevation is 100 feet above sea level, climate change could affect everything from urban shores and beaches to agriculture and forests. In addition, as cities grow, more land cover tends to shift from natural vegetation to impervious surfaces such as pavement, which can add to environmental risks such as flooding.</p><p>Landsat can help Florida’s agencies, organizations, and residents monitor the State’s fragile landscapes and plan for a resilient future. Here are just a few examples of how Landsat benefits Florida.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223019","usgsCitation":"U.S. Geological Survey, 2022, Florida and Landsat (ver. 1.1, January 2023): U.S. Geological Survey Fact Sheet 2022–3019, 2 p., https://doi.org/10.3133/fs20223019.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-130663","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":411874,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223019/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":411847,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3019/fs20223019.pdf","text":"Report","size":"2.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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 \"}}]}","edition":"Version 1.0: April 5, 2022; Version 1.1: January 13, 2023","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey <br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Mapping Fire History Across the State</li><li>Keeping an Eye on the Everglades</li><li>Addressing a Changing Climate in Miami Beach</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-04-05","revisedDate":"2023-01-13","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":210377,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":839404,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70230202,"text":"70230202 - 2022 - Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts","interactions":[],"lastModifiedDate":"2022-04-05T15:38:17.139919","indexId":"70230202","displayToPublicDate":"2022-04-05T10:28:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Phenological variation in spring migration timing of adult alewife (<i>Alosa pseudoharengus</i>) in coastal Massachusetts","title":"Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts","docAbstract":"<p>The timing of biological events in plants and animals, such as migration and reproduction, is shifting due to climate change. Anadromous fishes are particularly susceptible to these shifts as they are subject to strong seasonal cycles when transitioning between marine and freshwater habitats to spawn. We used linear models to determine the extent of phenological shifts in adult Alewife<span>&nbsp;</span><i>Alosa pseudoharengus</i><span>&nbsp;</span>as they migrated from ocean to freshwater environments during spring to spawn at 12 sites along the northeastern USA. We also evaluated broadscale oceanic and atmospheric drivers that trigger their movements from offshore to inland habitats, including sea surface temperature, North Atlantic Oscillation index, and Gulf Stream index. Run timing metrics of initiation, median (an indicator of peak run timing), end, and duration were found to vary among sites. Although most sites showed negligible shifts towards earlier timing, statistically significant changes were detected in three systems. Overall, winter sea surface temperature, spring and fall transition dates, and annual run size were the strongest predictors of run initiation and median dates, while a combination of within-season and seasonal-lag effects influenced run end and duration timing. Disparate results observed across the 12 spawning runs suggest that regional environmental processes were not consistent drivers of phenology and local environmental and ecological conditions may be more important. Additional years of data to extend time series and monitoring of Alewife timing and movements in nearshore habitats may provide important information about staging behaviors just before adults transition between ocean and freshwater habitats.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10198","usgsCitation":"Dalton, R.M., Sheppard, J.J., Finn, J., Jordaan, A., and Staudinger, M., 2022, Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 14, no. 2, e10198, 17 p., https://doi.org/10.1002/mcf2.10198.","productDescription":"e10198, 17 p.","ipdsId":"IP-112539","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":448215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10198","text":"Publisher Index Page"},{"id":398120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.93072509765625,\n              41.64213096472801\n            ],\n            [\n              -69.91973876953125,\n              41.77336007442076\n            ],\n            [\n              -69.93896484375,\n              41.881831370505594\n            ],\n            [\n              -69.98565673828125,\n              42.00848901572399\n            ],\n            [\n              -70.0762939453125,\n              42.07580094787546\n            ],\n            [\n              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]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dalton, Rebecca M.","contributorId":289643,"corporation":false,"usgs":false,"family":"Dalton","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":839541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheppard, John J.","contributorId":200171,"corporation":false,"usgs":false,"family":"Sheppard","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":839542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, John T.","contributorId":270782,"corporation":false,"usgs":false,"family":"Finn","given":"John T.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":839543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordaan, Adrian","contributorId":240665,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":839544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":206655,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":839545,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237757,"text":"70237757 - 2022 - Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA","interactions":[],"lastModifiedDate":"2022-10-21T15:27:22.011609","indexId":"70237757","displayToPublicDate":"2022-04-05T10:21:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA","docAbstract":"<p><span>Aqueous transport of mercury (Hg) across the landscape is closely linked to dissolved organic matter (DOM). Both quantity and quality of DOM affect Hg mobility, as well as the formation and transport of toxic methylmercury (MeHg), but only a limited number of field studies have investigated Hg and MeHg with respect to specific DOM components. We investigated these interactions at the 41-ha forested W-9 catchment at Sleepers River, Vermont, which has a long history of mercury and other biogeochemical research. We examined spatial and temporal patterns of filtered Hg fractions and dissolved organic carbon (DOC) concentration, DOM quality, and major solutes at 12 stream sites within W-9 and the downstream W-3 gage (837 ha) over five sampling campaigns including a large (79 mm) fall storm, spring snowmelt, and three seasonally contrasting base flow periods. Filtered total Hg (THg), MeHg, and DOC concentrations increased in order base flow &lt; snowmelt &lt; fall storm, except that MeHg remained at baseflow levels during snowmelt. Ranges of median concentrations across sites for the five campaigns were THg, &lt;0.2–4.1&nbsp;ng L</span><sup>−1</sup><span>; MeHg, &lt;0.03–0.45 ng L</span><sup>−1</sup><span>; and DOC, 0.8–14.0&nbsp;mg L</span><sup>−1</sup><span>. Humic-like DOM fluorescence components, as determined by parallel factor analysis (PARAFAC), dominated the fluorescence across sites and sampling campaigns. THg correlated strongly (</span><i>r</i><span> &gt; 0.94) with these humic components, but even more strongly with bulk DOC and absorbance at 254 nm (UV</span><sub>254</sub><span>;&nbsp;</span><i>r</i><span> &gt; 0.96), and less strongly with protein-like DOM (0.7 &lt; </span><i>r</i><span> &lt; 0.9). MeHg correlated in the same order but less strongly with humic- (0.8 &lt; </span><i>r</i><span> &lt; 0.9) and protein-like (0.6 &lt; </span><i>r</i><span> &lt; 0.8) DOM. MeHg increased in summer, potentially in response to enhanced microbial production in warmer periods. MeHg formation may have been linked to protein-like DOM, but its transport was linked to humic-like DOM.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14572","usgsCitation":"Shanley, J.B., Taylor, V., Ryan, K.A., Chalmers, A., Perdrial, J., and Stubbins, A., 2022, Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA: Hydrological Processes, v. 36, no. 5, e14572, 17 p., https://doi.org/10.1002/hyp.14572.","productDescription":"e14572, 17 p.","ipdsId":"IP-124934","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":408612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River Research Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.05866635329214,\n              44.34647865583793\n            ],\n            [\n              -72.40758066011205,\n              44.34647865583793\n            ],\n            [\n              -72.40758066011205,\n              44.188052738709075\n            ],\n            [\n              -72.05866635329214,\n              44.188052738709075\n            ],\n            [\n              -72.05866635329214,\n              44.34647865583793\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Vivien F.","contributorId":296971,"corporation":false,"usgs":false,"family":"Taylor","given":"Vivien F.","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":855460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Kevin A.","contributorId":298331,"corporation":false,"usgs":false,"family":"Ryan","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":855461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalmers, Ann T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":298370,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perdrial, Julia","contributorId":190445,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","affiliations":[],"preferred":false,"id":855463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stubbins, Aron","contributorId":191244,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","email":"","affiliations":[],"preferred":false,"id":855464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230186,"text":"sir20225028 - 2022 - Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York","interactions":[],"lastModifiedDate":"2026-04-09T17:07:14.944327","indexId":"sir20225028","displayToPublicDate":"2022-04-05T09:50:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5028","displayTitle":"Using Microbial Source Tracking To Identify Fecal Contamination Sources in Sag Harbor on Long Island, New York","title":"Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York","docAbstract":"<p>The U.S. Geological Survey worked in cooperation with the New York State Department of Environmental Conservation to assess the potential sources of fecal contamination entering Sag Harbor, an embayment complex on the northern shore of the south fork of Suffolk County, Long Island, New York. Water samples are routinely collected by the New York State Department of Environmental Conservation in the harbor and analyzed for fecal coliform bacteria, an indicator of fecal contamination, to determine the need for closure of shellfish beds for harvest and consumption. Fecal coliform and other bacteria are an indicator of the potential presence of pathogenic (disease-causing) bacteria. However, indicator bacteria alone cannot determine the biological or geographical sources of contamination; therefore, microbial source tracking was implemented to determine various biological sources of contamination. In addition, information such as the location, weather and season, and surrounding land use where a sample was collected help determine the geographical source and conveyance of land-based water to the embayment.</p><p>Analysis revealed that the most substantial source of fecal contamination to Sag Harbor was discharge from sites draining ponds and wetlands, particularly during the summer months. Fecal coliform bacteria at sites where ponds and wetlands drain are increased by stormwater runoff, which is another substantial source of fecal contamination. Human markers were detected in all four samples at the Sag Harbor Sewage Treatment Plant Outfall site but were associated with low fecal coliform concentrations, indicating that the sewage treatment plant is not a likely source of fecal contamination to the embayment. The Ligonee Brook Culvert, Paynes Creek near Marjorie Lane, and Otter Pond Culvert sites were identified as locations that contribute fecal contamination to Sag Harbor. These three locations had high fecal coliform bacteria concentrations in the summer, one of which was positive for canine microbial source tracking markers (Ligonee Brook Culvert), and another positive for waterfowl markers (Paynes Creek near Marjorie Lane). The absence of fecal coliform bacteria and human microbial source tracking markers in groundwater samples indicates that water from septic systems does not influence the harbor; however, elevated fecal coliform bacteria concentrations were not often detected. Further, the sandy sediment alongside Sag Harbor is unlikely to contribute fecal coliform bacteria when resuspended in the water column through tidal shifts or boat activity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225028","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Tagliaferri, T.N., Fisher, S.C., Kephart, C.M., Cheung, N., Reed, A.P., and Welk, R.J., 2022, Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2022–5028, 17 p., https://doi.org/10.3133/sir20225028.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129683","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":398005,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"USGS water data for the nation"},{"id":398104,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20225028/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":502385,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112845.htm","linkFileType":{"id":5,"text":"html"}},{"id":398006,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/sir20215033","text":"Scientific Investigations Report 2021–5033","linkHelpText":"- Overview and Methodology for a Study To Identify Fecal Contamination Sources Using Microbial Source Tracking in Seven Embayments on Long Island, New York"},{"id":398004,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5028/images/"},{"id":398003,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5028/sir20225028.XML"},{"id":398002,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5028/sir20225028.pdf","text":"Report","size":"1.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5028"},{"id":398001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5028/coverthb.jpg"}],"country":"United States","state":"New York","city":"Sag Harbor","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.31269836425781,\n              40.98896902507167\n            ],\n            [\n              -72.27458953857422,\n              40.98896902507167\n            ],\n            [\n              -72.27458953857422,\n              41.0102160917684\n            ],\n            [\n              -72.31269836425781,\n              41.0102160917684\n            ],\n            [\n              -72.31269836425781,\n              40.98896902507167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180-8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Site Description</li><li>Approach and Methods</li><li>Results</li><li>Classification of Source Sites</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Sample Collection in Sag Harbor on Long Island, New York</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-04-05","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 ttagliaferri@usgs.gov","orcid":"https://orcid.org/0000-0001-7408-7899","contributorId":5138,"corporation":false,"usgs":true,"family":"Tagliaferri","given":"Tristen","email":"ttagliaferri@usgs.gov","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheung, Natalie 0000-0003-2987-0440 ncheung@usgs.gov","orcid":"https://orcid.org/0000-0003-2987-0440","contributorId":258429,"corporation":false,"usgs":true,"family":"Cheung","given":"Natalie","email":"ncheung@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Ariel P. 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":219992,"corporation":false,"usgs":true,"family":"Reed","given":"Ariel","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839413,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230217,"text":"70230217 - 2022 - Considerations for creating equitable and inclusive communication campaigns associated with ShakeAlert, the earthquake early warning system for the West Coast of the USA","interactions":[],"lastModifiedDate":"2025-02-10T21:22:17.746379","indexId":"70230217","displayToPublicDate":"2022-04-05T09:36:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10535,"text":"Journal of Disaster Prevention and Management","active":true,"publicationSubtype":{"id":10}},"title":"Considerations for creating equitable and inclusive communication campaigns associated with ShakeAlert, the earthquake early warning system for the West Coast of the USA","docAbstract":"<p class=\"intent_sub_title Abstract__block__title mb-1 mt-3\"><strong>Purpose</strong></p><p class=\"intent_sub_title Abstract__block__title mb-1 mt-3\">The 2019 Global Assessment Report on Disaster Risk Reduction (GAR) cites earthquakes as the most damaging natural hazard globally, causing billions of dollars of damage and killing thousands of people. Earthquakes have the potential to drastically impact physical, social and economic landscapes; to reduce this risk, earthquake early warning (EEW) systems have been developed. However, these technical EEW systems do not operate in a vacuum; the inequities in social systems, along with the needs of diverse populations, must be considered when developing these systems and their associated communication campaigns.</p><p class=\"intent_sub_title Abstract__block__title mb-1 mt-3\"><strong>Design/methodology/approach</strong></p><div class=\"intent_sub_item Abstract__block\"><p>This article reviews aspects of social vulnerability as they relate to ShakeAlert, the EEW system for the USA. The authors identified two theories (relationship management theory and mute group theory) to inform self-reflective questions for agencies managing campaigns for EEW systems, which can assist in the development of more inclusive communication practices. Finally, the authors suggest this work contributes to important conversations about diversity, equity and inclusion (DEI) issues within early warning systems and earthquake preparedness campaigns in general.</p><p><strong>Findings</strong></p></div><div class=\"intent_sub_item Abstract__block\"><p>To increase inclusivity, Macnamara (2012) argues that self-reflective questioning while analyzing perspective, philosophy and approaches for a campaign can help. Specific to EEW campaigns, developers may find self-reflective questions a useful approach to increase inclusion. These questions are guided by two theories and are explored in the paper.</p><p><strong>Research limitations/implications</strong></p></div><div class=\"intent_sub_item Abstract__block\"><p>Several research limitations exist. First, this work explores two theories to develop a combined theoretical model for self-reflective questions. Further research is required to determine if this approach and the combination of these two theories have adequately informed the development of the reflective questions.</p><p><strong>Orginality/value</strong></p></div><div class=\"intent_sub_item Abstract__block\"><p>The authors could find little peer-reviewed work examining DEI for EEW systems, and ShakeAlert in particular. While articles on early warning systems exist that explore aspects of this, EEW and ShakeAlert, with its very limited time frames for warnings, creates unique challenges.</p></div>","language":"English","publisher":"Emerald Publishing","doi":"10.1108/DPM-03-2021-0090","usgsCitation":"Jenkins, M.R., McBride, S., Morgoch, M., and Smith, H., 2022, Considerations for creating equitable and inclusive communication campaigns associated with ShakeAlert, the earthquake early warning system for the West Coast of the USA: Journal of Disaster Prevention and Management, v. 31, no. 1, p. 79-91, https://doi.org/10.1108/DPM-03-2021-0090.","productDescription":"13 p.","startPage":"79","endPage":"91","ipdsId":"IP-127651","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":398110,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":448218,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1108/dpm-03-2021-0090","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"West Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.2880859375,\n              48.545705491847464\n            ],\n            [\n              -124.3212890625,\n              46.195042108660154\n            ],\n            [\n              -125.0244140625,\n              42.97250158602597\n            ],\n            [\n              -124.62890625,\n              41.409775832009565\n            ],\n            [\n              -124.98046874999999,\n              40.38002840251183\n            ],\n            [\n              -120.84960937499999,\n              33.90689555128866\n            ],\n            [\n              -117.861328125,\n              32.76880048488168\n            ],\n            [\n              -117.20214843749999,\n              32.39851580247402\n            ],\n            [\n              -116.05957031249999,\n              32.65787573695528\n            ],\n            [\n              -116.93847656250001,\n              34.016241889667015\n            ],\n            [\n              -119.70703125,\n              35.10193405724606\n            ],\n            [\n              -123.22265625000001,\n              40.413496049701955\n            ],\n            [\n              -122.87109375,\n              41.902277040963696\n            ],\n            [\n              -123.31054687499999,\n              43.16512263158296\n            ],\n            [\n              -122.73925781250001,\n              45.73685954736049\n            ],\n            [\n              -121.5087890625,\n              48.980216985374994\n            ],\n            [\n              -123.662109375,\n              48.951366470947725\n            ],\n            [\n              -125.2880859375,\n              48.545705491847464\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Mariah Ramona","contributorId":289669,"corporation":false,"usgs":true,"family":"Jenkins","given":"Mariah","email":"","middleInitial":"Ramona","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, Sara","contributorId":350763,"corporation":false,"usgs":true,"family":"McBride","given":"Sara","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":926946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgoch, Meredith","contributorId":269657,"corporation":false,"usgs":false,"family":"Morgoch","given":"Meredith","email":"","affiliations":[],"preferred":false,"id":839579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Hollie","contributorId":269656,"corporation":false,"usgs":false,"family":"Smith","given":"Hollie","email":"","affiliations":[],"preferred":false,"id":839580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230226,"text":"70230226 - 2022 - The Coalition for Conservation Genetics: Working across organizations to build capacity and achieve change in policy and practice","interactions":[],"lastModifiedDate":"2022-04-05T14:35:29.016538","indexId":"70230226","displayToPublicDate":"2022-04-05T09:29:59","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"The Coalition for Conservation Genetics: Working across organizations to build capacity and achieve change in policy and practice","docAbstract":"The Coalition for Conservation Genetics (CCG) brings together four eminent organizations with the shared goal of improving the integration of genetic information into conservation policy and practice. We provide a historical context of conservation genetics as a field and reflect on current barriers to conserving genetic diversity, highlighting the need for collaboration across traditional divides, international partnerships, and coordinated advocacy. We then introduce the CCG and illustrate through examples how a coalition approach can leverage complementary expertise and improve the organizational impact at multiple levels. The CCG has proven particularly successful at implementing large synthesis-type projects, training early-career scientists, and advising policy makers. Achievements to date highlight the potential for the CCG to make effective contributions to practical conservation policy and management that no one “parent” organization could achieve on its own. Finally, we reflect on the lessons learned through forming the CCG, and our vision for the future.","language":"English","publisher":"Wiley","doi":"10.1111/csp2.12635","usgsCitation":"Kershaw, F., Bruford, M.W., Funk, W., Grueber, C.E., Hoban, S.M., Hunter, M., Laikre, L., MacDonald, A.J., Meek, M.H., Mittan, C., O´Brien, D., Ogden, R., Shaw, R.E., Vernesi, C., and Segelbacher, G., 2022, The Coalition for Conservation Genetics: Working across organizations to build capacity and achieve change in policy and practice: Conservation Science and Practice, v. 4, no. 4, e12635, 14 p., https://doi.org/10.1111/csp2.12635.","productDescription":"e12635, 14 p.","ipdsId":"IP-132420","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":448221,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/csp2.12635","text":"External Repository"},{"id":398107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kershaw, Francine","contributorId":260831,"corporation":false,"usgs":false,"family":"Kershaw","given":"Francine","email":"","affiliations":[{"id":52686,"text":"Natural Resources Defense Council, New York","active":true,"usgs":false}],"preferred":false,"id":839594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruford, Michael W.","contributorId":190769,"corporation":false,"usgs":false,"family":"Bruford","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":839595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":189580,"corporation":false,"usgs":false,"family":"Funk","given":"W. Chris","affiliations":[],"preferred":false,"id":839596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grueber, Catherine E.","contributorId":239927,"corporation":false,"usgs":false,"family":"Grueber","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":48055,"text":"School of Life and Environmental Sciences, Faculty of Science, The University of Sydney","active":true,"usgs":false}],"preferred":false,"id":839597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoban, Sean M. 0000-0002-0348-8449","orcid":"https://orcid.org/0000-0002-0348-8449","contributorId":206582,"corporation":false,"usgs":false,"family":"Hoban","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":839598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Laikre, Linda","contributorId":261151,"corporation":false,"usgs":false,"family":"Laikre","given":"Linda","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":839600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"MacDonald, Anna J.","contributorId":260834,"corporation":false,"usgs":false,"family":"MacDonald","given":"Anna","email":"","middleInitial":"J.","affiliations":[{"id":52688,"text":"The Australian National University, John Curtin School of Medical Research and Research School of Biology, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":839601,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meek, Mariah H.","contributorId":289676,"corporation":false,"usgs":false,"family":"Meek","given":"Mariah","email":"","middleInitial":"H.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":839602,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mittan, Cinnamon","contributorId":260836,"corporation":false,"usgs":false,"family":"Mittan","given":"Cinnamon","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":839603,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O´Brien, David","contributorId":289679,"corporation":false,"usgs":false,"family":"O´Brien","given":"David","affiliations":[{"id":62232,"text":"NatureScot","active":true,"usgs":false}],"preferred":false,"id":839604,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ogden, Rob","contributorId":239611,"corporation":false,"usgs":false,"family":"Ogden","given":"Rob","email":"","affiliations":[{"id":47931,"text":"Royal (Dick) School of Veterinary Studies & the Roslin Institute, University of Edinburgh","active":true,"usgs":false}],"preferred":false,"id":839605,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shaw, Robyn E.","contributorId":260838,"corporation":false,"usgs":false,"family":"Shaw","given":"Robyn","email":"","middleInitial":"E.","affiliations":[{"id":52690,"text":"Environmental and Conservation Sciences, Murdoch University, Perth, Australia","active":true,"usgs":false}],"preferred":false,"id":839606,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Vernesi, Cristiano","contributorId":239922,"corporation":false,"usgs":false,"family":"Vernesi","given":"Cristiano","email":"","affiliations":[{"id":48051,"text":"Dept. of Sustainable Agroecosystems and Bioresources, Research and Innovation Centre - Fondazione Edmund Mach","active":true,"usgs":false}],"preferred":false,"id":839607,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Segelbacher, Gernot","contributorId":206584,"corporation":false,"usgs":false,"family":"Segelbacher","given":"Gernot","email":"","affiliations":[{"id":37345,"text":"University of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":839608,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70230223,"text":"70230223 - 2022 - Riparian forest productivity decline initiated by streamflow diversion then amplified by atmospheric drought 40 years later","interactions":[],"lastModifiedDate":"2022-05-13T15:03:09.694181","indexId":"70230223","displayToPublicDate":"2022-04-05T09:19:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Riparian forest productivity decline initiated by streamflow diversion then amplified by atmospheric drought 40 years later","docAbstract":"<p>Riparian trees and their annual growth rings can be used to reconstruct drought histories related to streamflow. Because the death of individual trees reduces competition for survivors, however, tree-ring chronologies based only on surviving trees may underestimate drought impacts. This problem can be addressed by calculating productivity at the stand scale to account for tree mortality and establishment. In the semi-arid Great Basin in the western United States, we calculated riparian wood production from 1946 to 2016 along a stream where most flow has been removed by a diversion pipeline since 1961. The water table was found to be generally below the root zone of cottonwoods (<i>Populus angustifolia</i><span>&nbsp;</span>and<span>&nbsp;</span><i>P.&nbsp;angustifolia</i> × <i>trichocarpa</i>) in the pipeline-dewatered reach but within it in reference reaches. To reconstruct forest productivity through time, we separately combined measurements of tree-ring basal area increment with either changing forest area from aerial photos or a census of cross-dated living and dead cottonwoods. Both approaches revealed productivity declines in the dewatered reach relative to adjacent reference reaches, and the decline accelerated in the 2000s. Tree-ring narrowing resulted in divergence between the dewatered reach and one reference reach within 5 years after diversion. However, the dewatered reach did not diverge from the other reference reach until 40 years later, when an unprecedented early 2000s atmospheric drought coupled with diversion to cause extensive cottonwood mortality. We conclude that dendrochronological investigations of forest response to environmental stress should incorporate stand dynamics and that the full impacts of flow diversion can be delayed for decades.</p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.2408","usgsCitation":"Schook, D.M., Friedman, J.M., Hoover, J.D., Rice, S.E., Thaxton, R.D., and Cooper, D.J., 2022, Riparian forest productivity decline initiated by streamflow diversion then amplified by atmospheric drought 40 years later: Ecohydrology, v. 15, no. 3, e2408, 14 p., https://doi.org/10.1002/eco.2408.","productDescription":"e2408, 14 p.","ipdsId":"IP-134136","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448223,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2408","text":"Publisher Index Page"},{"id":398106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada, Utah","otherGeospatial":"Great Basin National Park, Pole Canyon, Snake Creek, Snake Range, Snake Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.36767578124999,\n              38.85815687709717\n            ],\n            [\n              -114.13284301757812,\n              38.85815687709717\n            ],\n            [\n              -114.13284301757812,\n              38.9396506365778\n            ],\n            [\n              -114.36767578124999,\n              38.9396506365778\n            ],\n            [\n              -114.36767578124999,\n              38.85815687709717\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schook, Derek M.","contributorId":178325,"corporation":false,"usgs":false,"family":"Schook","given":"Derek","email":"","middleInitial":"M.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":839582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":839583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoover, Jamie D.","contributorId":238180,"corporation":false,"usgs":false,"family":"Hoover","given":"Jamie","email":"","middleInitial":"D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":839584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Steven E.","contributorId":238179,"corporation":false,"usgs":false,"family":"Rice","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":839585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thaxton, Richard D.","contributorId":238181,"corporation":false,"usgs":false,"family":"Thaxton","given":"Richard","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":839586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cooper, David J.","contributorId":196510,"corporation":false,"usgs":false,"family":"Cooper","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13017,"text":"Department of Forest and Rangeland Stewardship, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":839587,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230269,"text":"70230269 - 2022 - Hydroclimatic conditions, wildfire, and species assemblages influence co-occurrence of bull trout and tailed frogs in northern Rocky Mountain streams","interactions":[],"lastModifiedDate":"2022-04-06T14:19:09.796775","indexId":"70230269","displayToPublicDate":"2022-04-05T09:14:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Hydroclimatic conditions, wildfire, and species assemblages influence co-occurrence of bull trout and tailed frogs in northern Rocky Mountain streams","docAbstract":"<p><span>Although bull trout (</span><i><span class=\"html-italic\">Salvelinus confluentus</span></i><span>) and tailed frogs (</span><i><span class=\"html-italic\">Ascaphus montanus</span></i><span>) have co-existed in forested Pacific Northwest streams for millennia, these iconic cold-water specialists are experiencing rapid environmental change caused by a warming climate and enhanced wildfire activity. Our goal was to inform future conservation by examining the habitat associations of each species and conditions that facilitate co-occupancy. We repurposed data from previous studies in the northern Rocky Mountains to assess the efficacy of bull trout electrofishing surveys for determining the occurrence of tailed frogs and the predictive capacity of habitat covariates derived from in-stream measurements and geospatial sources to model distributions of both species. Electrofishing reliably detected frog presence (89.2% rate). Both species were strongly associated with stream temperature and flow regime characteristics, and less responsive to riparian canopy cover, slope, and other salmonids. Tailed frogs were also sensitive to wildfire, with occupancy probability peaking around 80 years after a fire. Co-occupancy was most probable in locations with low-to-moderate frequencies of high winter flow events, few other salmonids, a low base-flow index, and intermediate years since fire. The distributions of these species appear to be sensitive to environmental conditions that are changing this century in forests of the northern Rocky Mountains. The amplification of climate-driven effects after wildfire may prove to be particularly problematic in the future. Habitat differences between these two species, considered to be headwater specialists, suggest that conservation measures designed for one may not fully protect the other. Additional studies involving future climate and wildfire scenarios are needed to assess broader conservation strategies and the potential to identify refuge streams where both species are likely to persist, or complementary streams where each could exist separately into the future.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w14071162","usgsCitation":"Pilliod, D., Arkle, R.S., Thurow, R.F., and Isaak, D.J., 2022, Hydroclimatic conditions, wildfire, and species assemblages influence co-occurrence of bull trout and tailed frogs in northern Rocky Mountain streams: Water, v. 14, no. 7, 1162, 20 p., https://doi.org/10.3390/w14071162.","productDescription":"1162, 20 p.","ipdsId":"IP-137594","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":448226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w14071162","text":"Publisher Index Page"},{"id":398215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"northern Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.20214843749999,\n              43.77109381775651\n            ],\n            [\n              -111.26953125,\n              43.77109381775651\n            ],\n            [\n              -111.26953125,\n              48.951366470947725\n            ],\n            [\n              -117.20214843749999,\n              48.951366470947725\n            ],\n            [\n              -117.20214843749999,\n              43.77109381775651\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arkle, Robert S. 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218006,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurow, Russel F","contributorId":289775,"corporation":false,"usgs":false,"family":"Thurow","given":"Russel","email":"","middleInitial":"F","affiliations":[{"id":62244,"text":"USDA Forest Service Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":839762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isaak, Dan J","contributorId":289776,"corporation":false,"usgs":false,"family":"Isaak","given":"Dan","email":"","middleInitial":"J","affiliations":[{"id":62244,"text":"USDA Forest Service Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":839763,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230200,"text":"ofr20221035 - 2022 - California Deepwater Investigations and Groundtruthing (Cal DIG) I, volume 3 — Benthic habitat characterization offshore Morro Bay, California","interactions":[],"lastModifiedDate":"2022-08-23T19:18:44.059405","indexId":"ofr20221035","displayToPublicDate":"2022-04-05T09:14:35","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1035","displayTitle":"California Deepwater Investigations and Groundtruthing (Cal DIG) I, Volume 3—Benthic Habitat Characterization Offshore Morro Bay, California","title":"California Deepwater Investigations and Groundtruthing (Cal DIG) I, volume 3 — Benthic habitat characterization offshore Morro Bay, California","docAbstract":"<p>Coastal and Marine Ecological Classification Standard (CMECS) geoform, substrate, and biotic component geographic information system (GIS) products were developed for the U.S. Exclusive Economic Zone (U.S. EEZ) of south-central California in the region of Santa Lucia Bank motivated by interest in development of offshore wind-energy capacity and infrastructure. The Bureau of Ocean Energy Management (BOEM), in coordination with the State of California and many other members of the California Task Force, issued calls for information in 2018 for the study area offshore of Morro Bay, California. The study area is in depths of 500 to 1,200 meters (m) and adjacent to a decommissioned nuclear power plant with a developed electric grid connection, and in an area of high wind resource. BOEM is the lead agency responsible for planning and leasing in the U.S. EEZ and funded this project to assess baseline conditions of, and the potential effects on, the seafloor environment. This project, carried out by the U.S. Geological Survey (USGS), resulted in three reports: one on biological analysis of seafloor video data, one on analysis of the geologic framework and hazards, and this report on seafloor habitat. The study area consists of 8,424 square kilometers (km<sup>2</sup>) of multibeam echo sounder (MBES) data acquired during five surveys from 2016 to 2019. Remotely operated vehicle (ROV) video was acquired in 2019 to supervise the classification of the MBES data into habitats. Derivatives of the MBES data were classified into 16 unique biotopes, 6 substrate types, 28 modifier groups, and 22 geoforms. The study area substrate is predominantly soft sediment (mud and fine sand) covering 7,804 km<sup>2</sup> (92.7 percent) of the area. Mixed substrate areas on rocky banks, channel scarps, and the shelf break comprise 404 km<sup>2</sup> (4.8 percent) of the study area. Hard substrate areas are found predominantly on the tops and flanks of banks and on bank ridges that separate canyons incising the banks. Hard substrates comprise 211 km<sup>2</sup> of the study area (2.5 percent). After the bathymetry and backscatter raster images (rasters) were classified, manual editing was also done to remove noise artifacts. This effort was not completely successful and there are numerous erroneous small areas in the rasters that have been passed on to the CMECS polygon product. Nearly 120,000 annotations of organisms and their habitat were made from 25 video transects selected from 185 hours of ROV video. In total, 2,714 km<sup>2</sup> of seafloor were successfully assigned to biotopes. Some biotopes were assigned to separate areas spatially distant from the transects that define the biotope. Expected relations between physical habitat and biota such as the number of species and the substrate induration and rugosity were verified. Slope is typically a predictive variable and was used in the classification of habitat, but the ground truth used for biotic component analysis included very little steeply sloping area. Ground-truth ROV operations were reduced by the sea state; additional ground truth could improve the biotic results and increase confidence in the spatial distribution of classifications reported here.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221035","collaboration":"Prepared in cooperation with Bureau of Ocean Energy Management, National Oceanic and Atmospheric Administration, and Monterey Bay Aquarium Research Institute","programNote":"Bureau of Ocean Energy Management OCS Study BOEM 2021–045","usgsCitation":"Cochrane, G.R., Kuhnz, L.A. Gilbane, L., Dartnell, P., Walton, M.A.L., and Paull, C.K., 2022, California Deepwater Investigations and Groundtruthing (Cal DIG) I, volume 3—Benthic habitat characterization offshore Morro Bay, California: U.S. Geological Survey Open-File Report 2022–1035 [also released as Bureau of Ocean Energy Management OCS Study BOEM 2021–045], 18 p., https://doi.org/10.3133/ofr20221035.","productDescription":"Report: vi, 18 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-129519","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":398057,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QQZ27U","text":"Multibeam echo sounder, video observation, and derived benthic habitat data offshore of south-central California in support of the Bureau of Ocean Energy Management Cal DIG I, offshore alternative energy project","description":"Cochrane, G.R., Kuhnz, L.A., Gilbane, L., Dartnell, P., and Walton, M.A., 2022, Multibeam echo sounder, video observation, and derived benthic habitat data offshore of south-central California in support of the Bureau of Ocean Energy Management Cal DIG I, offshore alternative energy project: U.S. Geological Survey data release, https://doi.org/10.5066/P9QQZ27U."},{"id":398055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1035/coverthb.jpg"},{"id":398056,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1035/ofr20221035.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","city":"Morro Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.48431396484375,\n              34.863397850419524\n            ],\n            [\n              -120.9210205078125,\n              35.574682600980914\n            ],\n            [\n              -121.31103515625,\n              35.94243575255426\n            ],\n            [\n              -121.45660400390624,\n              36.04465753921525\n            ],\n            [\n              -122.36846923828125,\n              35.628279555648845\n            ],\n            [\n              -122.09930419921876,\n              34.66032236481892\n            ],\n            [\n              -120.48431396484375,\n              34.863397850419524\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://www.usgs.gov/centers/pcmsc/\" data-mce-href=\"http://www.usgs.gov/centers/pcmsc/\">Pacific Coastal and Marine Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-04-05","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":839527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuhnz, Linda A. 0000-0002-8359-3803","orcid":"https://orcid.org/0000-0002-8359-3803","contributorId":289638,"corporation":false,"usgs":false,"family":"Kuhnz","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":true,"id":839528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbane, Lisa 0000-0001-9170-5388","orcid":"https://orcid.org/0000-0001-9170-5388","contributorId":289639,"corporation":false,"usgs":false,"family":"Gilbane","given":"Lisa","email":"","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":true,"id":839529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":839530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walton, Maureen A. L. 0000-0001-8496-463X","orcid":"https://orcid.org/0000-0001-8496-463X","contributorId":211025,"corporation":false,"usgs":true,"family":"Walton","given":"Maureen","email":"","middleInitial":"A. L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":839531,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":839532,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230314,"text":"70230314 - 2022 - Evaluating sources of bias in pedigree-based estimates of breeding population size","interactions":[],"lastModifiedDate":"2022-07-08T15:41:48.075522","indexId":"70230314","displayToPublicDate":"2022-04-05T08:47:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating sources of bias in pedigree-based estimates of breeding population size","docAbstract":"<p>Applications of genetic-based estimates of population size are expanding, especially for species for which traditional demographic estimation methods are intractable due to the rarity of adult encounters. Estimates of breeding population size (<i>N<sub>S</sub></i>) are particularly amenable to genetic-based approaches as the parameter can be estimated using pedigrees reconstructed from genetic data gathered from discrete juvenile cohorts, therefore eliminating the need to sample adults in the population. However, a critical evaluation of how genotyping and sampling effort influence bias in pedigree reconstruction, and how these biases subsequently influence estimates of <i>N<sub>S</sub></i>, is needed to evaluate the efficacy of the approach under a range of scenarios. We simulated a model system to understand the interactive effects of genotyping and sampling effort on error in genetic pedigrees reconstructed from the program <i>COLONY</i>. We then evaluated how errors in pedigree reconstruction influenced bias and precision in estimates of <i>N<sub>S</sub></i> using three different rarefaction estimators. Results indicated that pedigree error can be minimal when adequate genetic data are available, such as when juvenile sample sizes are large and/or individuals are genotyped at many informative loci. However, even in cases for which data are limited, using results of the simulation analysis to understand the magnitude and sources of bias in reconstructed pedigrees can still be informative when estimating <i>N<sub>S</sub></i>. We applied results of the simulation analysis to evaluate <i>Nˆ<sub>S</sub></i> for a population of federally endangered Atlantic sturgeon (<i>Acipenser oxyrinchus oxyrinchus</i>) in the Delaware River, USA. Our results indicated that <i>N<sub>S</sub></i> is likely to be three orders of magnitude lower compared with historic breeding population sizes, which is a considerable advancement in our understanding of the population status of Atlantic sturgeon in the Delaware River. Our analyses are broadly applicable in the design and interpretation of studies seeking to estimate <i>N<sub>S</sub></i> and can help to guide conservation decisions when ecological uncertainty is high. The utility of these results is expected to grow as rapid advances in genetic technologies increase the popularity of genetic population monitoring and estimation.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2602","usgsCitation":"White, S.L., Sard, N.M., Brundage III, H., Johnson, R.L., Lubinski, B.A., Eackles, M.S., Park, I.A., Fox, D.A., and Kazyak, D., 2022, Evaluating sources of bias in pedigree-based estimates of breeding population size: Ecological Applications, v. 32, no. 5, e2602, 13 p., https://doi.org/10.1002/eap.2602.","productDescription":"e2602, 13 p.","ipdsId":"IP-114638","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":448228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2602","text":"Publisher Index Page"},{"id":398310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, Pennsylvania","otherGeospatial":"Delaware River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.794677734375,\n              39.614152077002664\n            ],\n            [\n              -74.542236328125,\n              39.614152077002664\n            ],\n            [\n              -74.542236328125,\n              41.40153558289846\n            ],\n            [\n              -75.794677734375,\n              41.40153558289846\n            ],\n            [\n              -75.794677734375,\n              39.614152077002664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sard, Nicholas M","contributorId":289872,"corporation":false,"usgs":false,"family":"Sard","given":"Nicholas","email":"","middleInitial":"M","affiliations":[{"id":48660,"text":"SUNY Oswego","active":true,"usgs":false}],"preferred":false,"id":839958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brundage III, Harold M","contributorId":289873,"corporation":false,"usgs":false,"family":"Brundage III","given":"Harold M","affiliations":[{"id":62274,"text":"Environmental Research and Consulting Inc","active":true,"usgs":false}],"preferred":false,"id":839959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Robin L. 0000-0003-4314-3792 rjohnson1@usgs.gov","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":224717,"corporation":false,"usgs":true,"family":"Johnson","given":"Robin","email":"rjohnson1@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839961,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eackles, Michael S. 0000-0001-5624-5769 meackles@usgs.gov","orcid":"https://orcid.org/0000-0001-5624-5769","contributorId":218936,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839962,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Park, Ian A","contributorId":289876,"corporation":false,"usgs":false,"family":"Park","given":"Ian","email":"","middleInitial":"A","affiliations":[{"id":62277,"text":"DNREC","active":true,"usgs":false}],"preferred":false,"id":839963,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fox, Dewayne A.","contributorId":117052,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","email":"","middleInitial":"A.","affiliations":[{"id":12970,"text":"Department of Agriculture and Natural Resources, Delaware State University","active":true,"usgs":false}],"preferred":false,"id":839964,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839965,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70241857,"text":"70241857 - 2022 - Resist-accept-direct (RAD) considerations for climate change adaptation in fisheries: The Wisconsin experience","interactions":[],"lastModifiedDate":"2023-03-29T12:27:44.143585","indexId":"70241857","displayToPublicDate":"2022-04-05T07:25:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Resist-accept-direct (RAD) considerations for climate change adaptation in fisheries: The Wisconsin experience","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Decision-makers in inland fisheries management must balance ecologically and socially palatable objectives for ecosystem services within financial or physical constraints. Climate change has transformed the potential range of ecosystem services available. The Resist-Accept-Direct (RAD) framework offers a foundation for responding to climate-induced ecosystem modification; however, ecosystem trajectories and current practices must be understood to improve future decisions. Using Wisconsin's diverse inland fisheries as a case study, management strategies for recreational and subsistence fisheries in response to climate change were reviewed within the RAD framework. Current strategies largely focus on<span>&nbsp;</span><i>resist</i><span>&nbsp;</span>actions, while future strategies may need to shift toward<span>&nbsp;</span><i>accept</i><span>&nbsp;</span>or<span>&nbsp;</span><i>direct</i><span>&nbsp;</span>actions. A participatory adaptive management framework and co-production of policies between state and tribal agencies could prioritise lakes for appropriate management action, with the goal of providing a landscape of diverse fishing opportunities. This knowledge co-production represents a process of social learning requiring substantial investments of funding and time.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12549","usgsCitation":"Feiner, Z.S., Shultz, A.D., Sass, G., Trudeau, A., Mitro, M.G., Dassow, C.J., Latzka, A.W., Isermann, D.A., Maitland, B.M., Homola, J.J., Embke, H.S., and Preul, M., 2022, Resist-accept-direct (RAD) considerations for climate change adaptation in fisheries: The Wisconsin experience: Fisheries Management and Ecology, v. 29, no. 4, p. 346-363, https://doi.org/10.1111/fme.12549.","productDescription":"18 p.","startPage":"346","endPage":"363","ipdsId":"IP-135329","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":448230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0002-4491-5064","orcid":"https://orcid.org/0000-0002-4491-5064","contributorId":216559,"corporation":false,"usgs":false,"family":"Maitland","given":"Bryan","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":867961,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Homola, Jared Joseph 0000-0003-3821-7224","orcid":"https://orcid.org/0000-0003-3821-7224","contributorId":303741,"corporation":false,"usgs":true,"family":"Homola","given":"Jared","email":"","middleInitial":"Joseph","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":867962,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":270754,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"Susan","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":867963,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Preul, Michael","contributorId":303742,"corporation":false,"usgs":false,"family":"Preul","given":"Michael","email":"","affiliations":[{"id":65893,"text":"Mole Lake Band of Lake Superior Chippewa Indians","active":true,"usgs":false}],"preferred":false,"id":867964,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70230434,"text":"70230434 - 2022 - Estimating species misclassification with occupancy dynamics and encounter rates: A semi-supervised, individual-level approach","interactions":[],"lastModifiedDate":"2022-07-07T16:48:08.451905","indexId":"70230434","displayToPublicDate":"2022-04-05T07:07:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Estimating species misclassification with occupancy dynamics and encounter rates: A semi-supervised, individual-level approach","docAbstract":"<p>1. Large-scale, long-term biodiversity monitoring is essential to conservation, land management, and identifying threats to biodiversity. However, multispecies surveys are prone to various types of observation error, including false positive/negative detection, and misclassification, where a species is thought to have been encountered but not correctly identified. Previous methods assume an imperfect classifier produces species-level classifications, but in practice, particularly with human observers, we may end up with extraspecific classifications including `unknown', morphospecies designations, and taxonomic identifications coarser than species. Disregarding these types of species misclassification in biodiversity monitoring datasets can bias estimates of ecologically important quantities such as demographic ratess, occurrence, and species richness.</p><p>2. Here we present a joint classification-occupancy model that accounts for species non-detection and misclassification. Our framework accommodates extinction and colonization dynamics, allows for additional uncertain `morphospecies' designations, and makes use of individual specimens with known species identities in a semi-supervised setting. We compare the performance of our model to a classification-only model that discards information about occupancy and encounter rate. We illustrate our model with an empirical case study of the carabid beetle (Carabidae) community at the National Ecological Observatory Network Niwot Ridge Mountain Research Station, near Boulder, CO, USA. We also use simulations to evaluate model performance through validation metrics where varying fractions of the data are confirmed.</p><p>3. The model supported imperfect classifier accuracy and favored certain true species classifications strongly for some morphospecies. The model outperformed (e.g., precision) the reduced model that discarded occupancy information, and these differences were most pronounced for abundant species.</p><p>4. Spatial and temporal dynamics from modeled occupancy and encounter rates may inform species misclassification probability, but this idea has not yet been tested. Our statistical framework explores this opportunity, and can be applied to datasets with imperfect species detection and classification, limited verification data, and non-species classifications.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13858","usgsCitation":"Spiers, A., Royle, A., Torrens, C., and Joseph, M., 2022, Estimating species misclassification with occupancy dynamics and encounter rates: A semi-supervised, individual-level approach: Methods in Ecology and Evolution, v. 13, no. 7, p. 1528-1539, https://doi.org/10.1111/2041-210X.13858.","productDescription":"12 p.","startPage":"1528","endPage":"1539","ipdsId":"IP-127556","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":448235,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13858","text":"Publisher Index Page"},{"id":398632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398615,"type":{"id":15,"text":"Index Page"},"url":"https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13858"}],"volume":"13","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Spiers, Anna","contributorId":290178,"corporation":false,"usgs":false,"family":"Spiers","given":"Anna","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":840413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":840414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torrens, Christa","contributorId":290179,"corporation":false,"usgs":false,"family":"Torrens","given":"Christa","email":"","affiliations":[{"id":62371,"text":"University of  Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":840415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joseph, Maxwell","contributorId":290181,"corporation":false,"usgs":false,"family":"Joseph","given":"Maxwell","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":840416,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70235749,"text":"70235749 - 2022 - Reevaluation of the role of blocked Oropsylla hirsuta prairie dog fleas (Siphonaptera: Ceratophyllidae) in Yersinia pestis (Enterobacterales: Enterobacteriaceae) transmission","interactions":[],"lastModifiedDate":"2022-08-17T11:49:24.032807","indexId":"70235749","displayToPublicDate":"2022-04-05T06:47:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of the role of blocked Oropsylla hirsuta prairie dog fleas (Siphonaptera: Ceratophyllidae) in Yersinia pestis (Enterobacterales: Enterobacteriaceae) transmission","docAbstract":"<p class=\"chapter-para\">Prairie dogs in the western United States experience periodic epizootics of plague, caused by the flea-borne bacterial pathogen<span>&nbsp;</span><i>Yersinia pestis</i>. An early study indicated that<span>&nbsp;</span><i>Oropsylla hirsuta</i><span>&nbsp;</span>(Baker), often the most abundant prairie dog flea vector of plague, seldom transmits<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>by the classic blocked flea mechanism. More recently, an alternative early-phase mode of transmission has been proposed as the driving force behind prairie dog epizootics. In this study, using the same flea infection protocol used previously to evaluate early-phase transmission, we assessed the vector competence of<span>&nbsp;</span><i>O. hirsuta</i><span>&nbsp;</span>for both modes of transmission. Proventricular blockage was evident during the first two weeks after infection and transmission during this time was at least as efficient as early-phase transmission 2 d after infection. Thus, both modes of transmission likely contribute to plague epizootics in prairie dogs.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jme/tjac021","usgsCitation":"Miarinjara, A., Eads, D.A., Bland, D.M., Matchett, M.R., Biggins, D.E., and Hinnebusch, B.J., 2022, Reevaluation of the role of blocked Oropsylla hirsuta prairie dog fleas (Siphonaptera: Ceratophyllidae) in Yersinia pestis (Enterobacterales: Enterobacteriaceae) transmission: Journal of Medical Entomology, v. 59, no. 3, p. 1053-1059, https://doi.org/10.1093/jme/tjac021.","productDescription":"7 p.","startPage":"1053","endPage":"1059","ipdsId":"IP-135601","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448238,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jme/tjac021","text":"Publisher Index Page"},{"id":405252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Miarinjara, Adelaide","contributorId":295322,"corporation":false,"usgs":false,"family":"Miarinjara","given":"Adelaide","email":"","affiliations":[{"id":13450,"text":"NIH","active":true,"usgs":false}],"preferred":false,"id":849179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":849180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bland, David M.","contributorId":295324,"corporation":false,"usgs":false,"family":"Bland","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13450,"text":"NIH","active":true,"usgs":false}],"preferred":false,"id":849181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matchett, Marc R.","contributorId":193409,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":849182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":849183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinnebusch, B. Joseph","contributorId":295326,"corporation":false,"usgs":false,"family":"Hinnebusch","given":"B.","email":"","middleInitial":"Joseph","affiliations":[{"id":13450,"text":"NIH","active":true,"usgs":false}],"preferred":false,"id":849184,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}