{"pageNumber":"35","pageRowStart":"850","pageSize":"25","recordCount":10449,"records":[{"id":70249769,"text":"70249769 - 2023 - Automatic recorders monitor wolves at rendezvous sites: do wolves adjust howling to live near humans?","interactions":[],"lastModifiedDate":"2023-10-27T11:39:30.4958","indexId":"70249769","displayToPublicDate":"2022-11-22T06:37:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Automatic recorders monitor wolves at rendezvous sites: do wolves adjust howling to live near humans?","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>We used automatic sound recorders to study spontaneous vocalizations of wild wolves during the pup-rearing season around rendezvous sites from 24 wolf packs in six study areas across North America, Asia, and Europe. Between 2018 and 2021, for a total of 1225 pack-days, we recorded 605 spontaneous wolf chorus howls and 224 solo-howl series. Howling occurrence varied across areas, from 12.50 to 94.12% days with howling. Daily howling ranged from 0.00 to 3.47 solo howls/day and 0.13 to 5.29 chorus howls/day. Generally, spontaneous chorus howls peaked between sunset and sunrise. Howling rate depended on area, pack size, and density of people living nearby, being greater where fewer people lived. High rates in Yellowstone National Park, (800,000+ visitors during the study) could reflect accommodation to human activities such as wolf watching. One to six automatic recorders per site within 1000&nbsp;m of rendezvous sites needed 4–15&nbsp;days to detect the pack (average 9.5) and 5–21&nbsp;days (average 11.3) to detect pups, both with a probability of 95%. Our results may guide wolf-monitoring programs using automatic sound recorders, a promising method offering advantages over howling surveys, especially in human-dominated landscapes.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10531-022-02506-6","usgsCitation":"Palacios, V., Marti-Domken, B., Barber-Meyer, S., Habib, B., Lopez-Bao, J.V., Smith, D.W., Stahler, D.R., Garcia, E.J., Sazatornil, V., and Mech, L.D., 2023, Automatic recorders monitor wolves at rendezvous sites: do wolves adjust howling to live near humans?: Biodiversity and Conservation, v. 23, p. 363-383, https://doi.org/10.1007/s10531-022-02506-6.","productDescription":"21 p.","startPage":"363","endPage":"383","ipdsId":"IP-141017","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":422180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","noUsgsAuthors":false,"publicationDate":"2022-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Palacios, Vicente","contributorId":270224,"corporation":false,"usgs":false,"family":"Palacios","given":"Vicente","affiliations":[{"id":56116,"text":"ARCA / ACNHE Spain","active":true,"usgs":false}],"preferred":false,"id":886983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marti-Domken, Barbara","contributorId":268183,"corporation":false,"usgs":false,"family":"Marti-Domken","given":"Barbara","email":"","affiliations":[{"id":56116,"text":"ARCA / ACNHE Spain","active":true,"usgs":false}],"preferred":false,"id":886984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber-Meyer, Shannon","contributorId":331217,"corporation":false,"usgs":false,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":79155,"text":"Pacific Whale Foundation","active":true,"usgs":false}],"preferred":false,"id":886985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Habib, Bilal","contributorId":331218,"corporation":false,"usgs":false,"family":"Habib","given":"Bilal","email":"","affiliations":[{"id":79157,"text":"Wildlife Institute of Indian, Dehra Dun, Uttarakhand India","active":true,"usgs":false}],"preferred":false,"id":886986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez-Bao, Jose Vicente","contributorId":331219,"corporation":false,"usgs":false,"family":"Lopez-Bao","given":"Jose","email":"","middleInitial":"Vicente","affiliations":[{"id":79159,"text":"Biodiversity Research Institute (CSIC - Oviedo University","active":true,"usgs":false}],"preferred":false,"id":886987,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Douglas W.","contributorId":207018,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas","email":"","middleInitial":"W.","affiliations":[{"id":37432,"text":"Yellowstone National Park","active":true,"usgs":false}],"preferred":false,"id":886988,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stahler, Daniel R.","contributorId":179180,"corporation":false,"usgs":false,"family":"Stahler","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":886989,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garcia, Emilio Jose","contributorId":331220,"corporation":false,"usgs":false,"family":"Garcia","given":"Emilio","email":"","middleInitial":"Jose","affiliations":[{"id":79160,"text":"ARCA, People and Nature, SL, Spain.","active":true,"usgs":false}],"preferred":false,"id":886990,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sazatornil, Victor","contributorId":331221,"corporation":false,"usgs":false,"family":"Sazatornil","given":"Victor","email":"","affiliations":[{"id":79161,"text":"Forest Science and Technology Center of Catalonia","active":true,"usgs":false}],"preferred":false,"id":886991,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":886992,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263636,"text":"70263636 - 2023 - Rupture scenarios for the 3 June 1770 Haiti earthquake","interactions":[],"lastModifiedDate":"2025-02-18T15:35:58.705398","indexId":"70263636","displayToPublicDate":"2022-11-15T09:30:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Rupture scenarios for the 3 June 1770 Haiti earthquake","docAbstract":"<p><span>The 2010&nbsp;</span><strong>M</strong><span>&nbsp;7.0 Haiti earthquake provided the impetus to reconsider historical earthquakes in Hispaniola (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf11\">Bakun<span>&nbsp;</span><i>et&nbsp;al.</i>, 2012</a><span>). That earthquake also shed new light on complex fault systems along Haiti’s southern peninsula (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf30\">Douilly<span>&nbsp;</span><i>et&nbsp;al.</i>, 2013</a><span>;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf104\">Saint Fleur<span>&nbsp;</span><i>et&nbsp;al.</i>, 2015</a><span>). Recently, the 2021&nbsp;</span><strong>M</strong><span>&nbsp;7.2 Nippes earthquake (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf22\">Calais<span>&nbsp;</span><i>et&nbsp;al.</i>, 2022</a><span>;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf31\">Douilly<span>&nbsp;</span><i>et&nbsp;al.</i>, 2022</a><span>), and a recent study reconsidering the 1860 sequence (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf75\">Martin<span>&nbsp;</span><i>et&nbsp;al.</i>, 2022</a><span>) further underscored the complexity of fault systems and large earthquake ruptures along the peninsula. Motivated by these studies and recent geological investigations (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf98\">Prentice<span>&nbsp;</span><i>et&nbsp;al.</i>, 2010</a><span>;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf105\">Saint Fleur<span>&nbsp;</span><i>et&nbsp;al.</i>, 2020</a><span>), we reconsider the 3 June 1770 Haiti earthquake to explore the conventional assumption that it was the last major (</span><strong>M</strong><span>&nbsp;≥7.5) earthquake along the Enriquillo–Plantain Garden fault (EPGF). Accounts provide compelling evidence for substantial liquefaction in the Cul‐de‐Sac plain, one or more likely landslide‐driven tsunami in Gonaïves Bay, and extensive landsliding that created at least three documented landslide dams. We consider three end‐member rupture scenarios that are consistent with available constraints: two scenarios with&nbsp;</span><strong>M</strong><span>&nbsp;7.7 and rupture lengths of 150–170&nbsp;km, and one scenario with a ∼90&nbsp;km rupture and&nbsp;</span><strong>M</strong><span>&nbsp;7.5. Absent future work to identify and date paleoevents along the southern peninsula, none of these scenarios can be ruled out. Our preferred rupture model extends from the Miragoâne pull‐apart to near la Selle mountain, with a rupture length of 127&nbsp;km,&nbsp;</span><strong>M</strong><span>&nbsp;7.6, and a high stress drop. Rupture could have been on the EPGF or on an oblique thrust fault associated with overthrusting of the Massif de la Selle. The results do support the conclusion that the 1770 earthquake was the last major earthquake in southern Haiti, with a magnitude upward of&nbsp;</span><strong>M</strong><span>&nbsp;7.5 and significantly more severe shaking in southern Haiti than during the 2010 earthquake.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120220108","usgsCitation":"Hough, S.E., Martin, S.S., Symithe, S., and Briggs, R.W., 2023, Rupture scenarios for the 3 June 1770 Haiti earthquake: Bulletin of the Seismological Society of America, v. 113, no. 1, p. 157-185, https://doi.org/10.1785/0120220108.","productDescription":"29 p.","startPage":"157","endPage":"185","ipdsId":"IP-142025","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Haiti","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.67124675813444,\n              20.050612215978532\n            ],\n            [\n              -74.00169473999779,\n              19.905986033577463\n            ],\n            [\n              -74.57038450016687,\n              18.454888563255167\n            ],\n            [\n              -74.53298185535479,\n              17.77196094061692\n            ],\n            [\n              -71.6877773361758,\n              17.77196094061692\n            ],\n            [\n              -71.67124675813444,\n              20.050612215978532\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"113","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Stacey S.","contributorId":187758,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":927627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symithe, Steeve","contributorId":350978,"corporation":false,"usgs":false,"family":"Symithe","given":"Steeve","affiliations":[{"id":83892,"text":"Faculté Des Sciences, Université d'Etat d'Haïti, Port au Prince, Haïti","active":true,"usgs":false}],"preferred":false,"id":927628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256620,"text":"70256620 - 2023 - The effect of scent lures on detection is not equitable among sympatric species","interactions":[],"lastModifiedDate":"2024-08-27T14:51:35.039219","indexId":"70256620","displayToPublicDate":"2022-11-11T09:48:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"The effect of scent lures on detection is not equitable among sympatric species","docAbstract":"<p><strong>Context:<span>&nbsp;</span></strong>Camera trapping is an effective tool for cost-efficient monitoring of species over large temporal and spatial scales and it is becoming an increasingly popular method for investigating wildlife communities and trophic interactions. However, camera trapping targeting rare and elusive species can be hampered by low detection rates, which can decrease the accuracy and precision of results from common analytical approaches (e.g., occupancy modeling, capture-recapture). Consequently, researchers often employ attractants to increase detection without accounting for how attractants influence detection of species among trophic levels.</p><p><strong>Aims:<span>&nbsp;</span></strong>We aimed to evaluate the influences of a commonly used non-species-specific olfactory lure (i.e. sardines) and sampling design on detection of four species (i.e. bobcat [<i>Lynx rufus</i>], coyote [<i>Canis latrans</i>], raccoon [<i>Procyon lotor</i>], and eastern cottontail [<i>Sylvilagus floridanus</i>]) that represented a range of foraging guilds in an agricultural landscape.</p><p><strong>Methods:<span>&nbsp;</span></strong>We set 180 camera stations, each for ∼28&nbsp;days, during the summer of 2019. We set cameras with one of three lure treatments: (1) olfactory lure, (2) no olfactory lure, or (3) olfactory lure only during the latter half of the survey. We evaluated the influence of the lure at three temporal scales of detection (i.e. daily probability of detection, independent sequences per daily detection, and triggers per independent sequence).</p><p><strong>Key results:<span>&nbsp;</span></strong>The lure tended to positively influence detection of coyotes and raccoons but negatively influenced detection of bobcats and eastern cottontails. The influence of the lure varied among temporal scales of detection.</p><p><strong>Conclusions:<span>&nbsp;</span></strong>Scent lures can differentially influence detection of species within or among tropic levels, and the influence of a scent lure may vary among temporal scales.</p><p><strong>Implications:<span>&nbsp;</span></strong>Our results demonstrate the importance of evaluating the influence of an attractant for each focal species when using camera data to conduct multi-species or community analyses, accounting for variation in sampling strategies across cameras, and identifying the appropriate species-specific temporal resolution for assessing variation in detection data. Furthermore, we highlight that care should be taken when using camera data as an index of relative abundance (e.g. as is commonly done with prey species) when there is variation in the use of lures across cameras.</p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WR22094","usgsCitation":"Dart, M.M., Perkins, L., Jenks, J., Hatfield, G., and Lonsinger, R.C., 2023, The effect of scent lures on detection is not equitable among sympatric species: Wildlife Research, v. 50, no. 3, p. 190-200, https://doi.org/10.1071/WR22094.","productDescription":"11 p.","startPage":"190","endPage":"200","ipdsId":"IP-135401","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Dart, Marlin M.","contributorId":340675,"corporation":false,"usgs":false,"family":"Dart","given":"Marlin","email":"","middleInitial":"M.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":908346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perkins, Lora B.","contributorId":224968,"corporation":false,"usgs":false,"family":"Perkins","given":"Lora B.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":908347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenks, Jonathan A.","contributorId":264322,"corporation":false,"usgs":false,"family":"Jenks","given":"Jonathan A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":908348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatfield, Gary","contributorId":341397,"corporation":false,"usgs":false,"family":"Hatfield","given":"Gary","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":908349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70238046,"text":"70238046 - 2023 - Predicted uranium and radon concentrations in New Hampshire (USA) groundwater—Using Multi Order Hydrologic Position as predictors","interactions":[],"lastModifiedDate":"2023-02-02T17:18:29.966891","indexId":"70238046","displayToPublicDate":"2022-11-03T06:37:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Predicted uranium and radon concentrations in New Hampshire (USA) groundwater—Using Multi Order Hydrologic Position as predictors","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Two radioactive elements, uranium (U) and radon (Rn), which are of potential concern in New Hampshire (NH) groundwater, are investigated. Exceedance probability maps are tools to highlight locations where the concentrations of undesirable substances in the groundwater may be elevated. Two forms of statistical analysis are used to create exceedance probability maps for U and Rn in NH groundwater. The first, Boosted Regression Tree (BRT), was selected for estimating U exceedance values. It computes exceedance values directly using the Bernoulli distribution function. The second method of statistical analysis used for Rn to determine exceedance probabilities is ordinary least squares (OLS) regression. In the process of determining exceedance probabilities for U and Rn, the utility of a new dataset is investigated. That new predictor dataset is the Multi-Order Hydrologic Position (MOHP) dataset. MOHP raster datasets have been produced nationally for the conterminous United States at a 30-m resolution. The concept behind MOHP is that, for any given point on the earth's surface, there is the potential for a longer groundwater flow path as one goes deeper beneath the land surface. MOHP predictors were tested in both models. Three MOHP predictors were found useful in the BRT model and two in the OLS model. MOHP data were found useful as predictors along with other site characteristics in predicting U and Rn exceedance probabilities in New Hampshire groundwater.</p></div></div>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.13075","usgsCitation":"Moore, R.B., Belitz, K., Ayotte, J.D., Arnold, T.L., Hayes, L., Sharpe, J.B., and Starn, J., 2023, Predicted uranium and radon concentrations in New Hampshire (USA) groundwater—Using Multi Order Hydrologic Position as predictors: Journal of the American Water Resources Association, v. 59, no. 1, p. 127-145, https://doi.org/10.1111/1752-1688.13075.","productDescription":"19 p.","startPage":"127","endPage":"145","ipdsId":"IP-130144","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":445302,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13075","text":"Publisher Index Page"},{"id":409187,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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Hampshire\",\"nation\":\"USA  \"}}]}","volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Richard B. 0000-0001-9066-3171 rmoore@usgs.gov","orcid":"https://orcid.org/0000-0001-9066-3171","contributorId":219963,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","email":"rmoore@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":856702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","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":856703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnold, Terri L. 0000-0003-1406-6054","orcid":"https://orcid.org/0000-0003-1406-6054","contributorId":298913,"corporation":false,"usgs":true,"family":"Arnold","given":"Terri","email":"","middleInitial":"L.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Laura 0000-0002-4488-1343 lhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-1343","contributorId":2791,"corporation":false,"usgs":true,"family":"Hayes","given":"Laura","email":"lhayes@usgs.gov","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":856705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856707,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Starn, J. Jeffrey 0000-0001-5909-0010 jjstarn@usgs.gov","orcid":"https://orcid.org/0000-0001-5909-0010","contributorId":1916,"corporation":false,"usgs":true,"family":"Starn","given":"J. Jeffrey","email":"jjstarn@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":856706,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70237871,"text":"70237871 - 2023 - A global catalog of calibrated earthquake locations","interactions":[],"lastModifiedDate":"2023-01-18T17:04:40.882568","indexId":"70237871","displayToPublicDate":"2022-10-28T09:11:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A global catalog of calibrated earthquake locations","docAbstract":"<p><span>We produced a globally distributed catalog of earthquakes and nuclear explosions with calibrated hypocenters, referred to as the Global Catalog of Calibrated Earthquake Locations (GCCEL). This dataset currently contains 18,782 events in 289 clusters with &gt;3.2 million arrival times observed at 19,258 stations. The term “calibrated” refers to the property that the hypocenters are minimally biased by unknown Earth structure. In addition, we calculate uncertainties using empirically determined variability of the arrival‐time data itself, specific to each calibrated cluster of hypocenters. Outliers in the arrival‐time dataset are removed based on measured variability of the data. In each cluster, we estimate the empirically determined uncertainty for each set of station‐phase arrival times. We use a version of the hypocentroidal decomposition multiple event relocation algorithm specifically adapted for calibrated relocations of clusters of seismic events. Most clusters are calibrated by fitting the subset of direct crustal first arrivals (</span><i>Pg</i><span>&nbsp;and&nbsp;</span><i>Sg</i><span>) with a locally appropriate travel‐time model to estimate the cluster hypocentroid. A few clusters are calibrated by aligning the pattern of relative locations in space and time with one or more events for which a ground‐truth hypocenter is available from an independent source with known uncertainty, such as a nuclear explosion. Epicentral uncertainties in GCCEL typically range from 1 to 5&nbsp;km with a 90% confidence interval. Most events have depth constraint from one or more sources, usually with an uncertainty of ≤5&nbsp;km. GCCEL is a significant resource for research at local, regional, and global scales because it provides minimally biased absolute hypocenters, meaningful associated error estimates, and curated arrival times as a reference dataset that can be used as prior constraints in the development of new regional, national, and global earthquake catalogs; validation of new location techniques; and the generation of advanced Earth models.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220220217","usgsCitation":"Bergman, E.A., Benz, H.M., Yeck, W.L., Karasözen, E., Engdahl, E., Ghods, A., Hayes, G., and Earle, P.S., 2023, A global catalog of calibrated earthquake locations: Seismological Research Letters, v. 94, no. 1, p. 485-495, https://doi.org/10.1785/0220220217.","productDescription":"11 p.","startPage":"485","endPage":"495","ipdsId":"IP-134306","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":435566,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95R8K8G","text":"USGS data release","linkHelpText":"Global Catalog of Calibrated Earthquake Locations"},{"id":408855,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Earth","volume":"94","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Bergman, Eric A. 0000-0002-7069-8286","orcid":"https://orcid.org/0000-0002-7069-8286","contributorId":84513,"corporation":false,"usgs":false,"family":"Bergman","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":856034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":856035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":856036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karasözen, Ezgi","contributorId":298619,"corporation":false,"usgs":false,"family":"Karasözen","given":"Ezgi","affiliations":[{"id":64627,"text":"Alaska Earthquake Center, University of Alaska-Fairbanks","active":true,"usgs":false}],"preferred":false,"id":856037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engdahl, E. Robert","contributorId":298620,"corporation":false,"usgs":false,"family":"Engdahl","given":"E. Robert","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":856038,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ghods, Abdolreza","contributorId":244222,"corporation":false,"usgs":false,"family":"Ghods","given":"Abdolreza","email":"","affiliations":[{"id":48866,"text":"Institute for Advanced Studies in Basic Sciences","active":true,"usgs":false}],"preferred":false,"id":856039,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":856040,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":856041,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251105,"text":"70251105 - 2023 - Microbiomes associated with avian malaria survival differ between susceptible Hawaiian honeycreepers and sympatric malaria-resistant introduced birds","interactions":[],"lastModifiedDate":"2024-01-23T13:02:16.771522","indexId":"70251105","displayToPublicDate":"2022-10-24T06:58:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Microbiomes associated with avian malaria survival differ between susceptible Hawaiian honeycreepers and sympatric malaria-resistant introduced birds","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Of the estimated 55 Hawaiian honeycreepers (subfamily Carduelinae) only 17 species remain, nine of which the International Union for Conservation of Nature considers endangered. Among the most pressing threats to honeycreeper survival is avian malaria, caused by the introduced blood parasite<span>&nbsp;</span><i>Plasmodium relictum</i>, which is increasing in distribution in Hawaiʻi as a result of climate change. Preventing further honeycreeper decline will require innovative conservation strategies that confront malaria from multiple angles. Research on mammals has revealed strong connections between gut microbiome composition and malaria susceptibility, illuminating a potential novel approach to malaria control through the manipulation of gut microbiota. One honeycreeper species, Hawaiʻi ʻamakihi (<i>Chlorodrepanis virens</i>), persists in areas of high malaria prevalence, indicating they have acquired some level of immunity. To investigate if avian host-specific microbes may be associated with malaria survival, we characterized cloacal microbiomes and malaria infection for 174 ʻamakihi and 172 malaria-resistant warbling white-eyes (<i>Zosterops japonicus</i>) from Hawaiʻi Island using 16S rRNA gene metabarcoding and quantitative polymerase chain reaction. Neither microbial alpha nor beta diversity covaried with infection, but 149 microbes showed positive associations with malaria survivors. Among these were<span>&nbsp;</span><i>Escherichia</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Lactobacillus</i><span>&nbsp;</span>spp<i>.</i>, which appear to mitigate malaria severity in mammalian hosts, revealing promising candidates for future probiotic research for augmenting malaria immunity in sensitive endangered species.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/mec.16743","usgsCitation":"Navine, A.K., Paxton, K.L., Paxton, E.H., Hart, P.J., Foster, J.T., McInerney, N., Fleischer, R., and Videvall, E., 2023, Microbiomes associated with avian malaria survival differ between susceptible Hawaiian honeycreepers and sympatric malaria-resistant introduced birds: Molecular Ecology, v. 32, no. 23, p. 6659-6670, https://doi.org/10.1111/mec.16743.","productDescription":"12 p.","startPage":"6659","endPage":"6670","ipdsId":"IP-136368","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":445330,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"text":"Publisher Index Page"},{"id":435567,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F519WO","text":"USGS data release","linkHelpText":"Hawaiian forest bird avian malaria prevalence 2018-2021"},{"id":424739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.65729391251168,\n              20.76418604483169\n            ],\n            [\n              -156.65729391251168,\n              18.362718826642407\n            ],\n            [\n              -154.29523336563656,\n              18.362718826642407\n            ],\n            [\n              -154.29523336563656,\n              20.76418604483169\n            ],\n            [\n              -156.65729391251168,\n              20.76418604483169\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"32","issue":"23","noUsgsAuthors":false,"publicationDate":"2022-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Navine, Amanda K","contributorId":333575,"corporation":false,"usgs":false,"family":"Navine","given":"Amanda","email":"","middleInitial":"K","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":893135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":893136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":893137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":893138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, Jeffrey T.","contributorId":177905,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":893139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McInerney, Nancy","contributorId":270714,"corporation":false,"usgs":false,"family":"McInerney","given":"Nancy","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":893140,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleischer, Robert C.","contributorId":258062,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert C.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":893141,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Videvall, Elin","contributorId":258059,"corporation":false,"usgs":false,"family":"Videvall","given":"Elin","email":"","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":893142,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70250894,"text":"70250894 - 2023 - Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging","interactions":[],"lastModifiedDate":"2024-01-11T13:56:43.841598","indexId":"70250894","displayToPublicDate":"2022-09-08T07:53:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging","docAbstract":"<p class=\"chapter-para\">The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. Yet, there is much ambiguity regarding its deeper structural properties around Coachella Valley, in large part due to the relative paucity of everyday seismicity. Here, we image a multistranded section of the SSAF using a non-seismic method, namely magnetotelluric (MT) soundings, to help inform depth-dependent fault zone geometry, fluid content and porosity. The acquired MT data and resultant inversion models highlight a conductive column encompassing the SSAF zone that includes a 2–3&nbsp;km wide vertical to steeply northeast dipping conductor down to ∼4&nbsp;km depth (maximum of ∼1 Ω·m at 2&nbsp;km depth) and another prominent conductor in the ductile crust (∼1 Ω·m at 12&nbsp;km depth and slightly southwest of the surface SSAF). We estimate porosities of 18–44 per cent for the conductive uppermost 500&nbsp;m, a 10–15 per cent porosity at 2&nbsp;km depth and that small amounts (0.1–3 per cent) of interconnected hypersaline fluids produce the deeper conductor. Located northeast of this conductive region is mostly resistive crust indicating dry crystalline rock that extends down to ∼20&nbsp;km in places. Most of the local seismicity is associated with this resistive region. Located farther northeast still is a conductive region at &gt;13&nbsp;km depth and separate from the one to the southwest. The imaged anomalies permit two interpretations. The SSAF zone is vertical to steeply northeast dipping in the upper crust and (1) is near vertical at greater depth creating mostly an impermeable barrier for northeast fluid migration or (2) continues to dip northeast but is relatively dry and resistive up to ∼13&nbsp;km depth where it manifests as a secondary deep ductile crustal conductor. Taken together with existing knowledge, the first interpretation is more likely but more MT investigations are required.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggac356","usgsCitation":"Share-MacParland, P., Peacock, J., Constable, S.C., Vernon, F.L., and Wang, S., 2023, Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging: Geophysical Journal International, v. 232, no. 1, p. 694-704, https://doi.org/10.1093/gji/ggac356.","productDescription":"11 p.","startPage":"694","endPage":"704","ipdsId":"IP-124157","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":445442,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/11250/3051610","text":"External Repository"},{"id":424322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"northern Coachella Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.0,\n              34.25\n            ],\n            [\n              -117.0,\n              33.5\n            ],\n            [\n              -115.75,\n              33.5\n            ],\n            [\n              -115.75,\n              34.25\n            ],\n            [\n              -117.0,\n              34.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"232","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Share-MacParland, Pieter-Ewald 0000-0001-6674-1491","orcid":"https://orcid.org/0000-0001-6674-1491","contributorId":299108,"corporation":false,"usgs":false,"family":"Share-MacParland","given":"Pieter-Ewald","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":891962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Constable, Steve C. 0000-0001-6324-3470","orcid":"https://orcid.org/0000-0001-6324-3470","contributorId":333113,"corporation":false,"usgs":false,"family":"Constable","given":"Steve","email":"","middleInitial":"C.","affiliations":[{"id":79733,"text":"Institute of Geophysics and Planetary Physics, University of California at San Diego","active":true,"usgs":false}],"preferred":false,"id":891964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vernon, Frank L. 0000-0002-9379-4000","orcid":"https://orcid.org/0000-0002-9379-4000","contributorId":333114,"corporation":false,"usgs":false,"family":"Vernon","given":"Frank","email":"","middleInitial":"L.","affiliations":[{"id":79734,"text":"Institute of Geophysics and Planetary Science, University of California at San Diego","active":true,"usgs":false}],"preferred":false,"id":891965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Shunguo","contributorId":333115,"corporation":false,"usgs":false,"family":"Wang","given":"Shunguo","email":"","affiliations":[{"id":79736,"text":"Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway","active":true,"usgs":false}],"preferred":false,"id":891966,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237041,"text":"70237041 - 2023 - Engaging stakeholders to develop a decision support model of conservation risk and management capacity to prioritize investments in Bull Trout recovery","interactions":[],"lastModifiedDate":"2023-07-24T16:30:26.859953","indexId":"70237041","displayToPublicDate":"2022-09-05T10:17:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Engaging stakeholders to develop a decision support model of conservation risk and management capacity to prioritize investments in Bull Trout recovery","docAbstract":"<p><span>Rarely are sufficient resources available to support the full suite of management actions to promote recovery of a species across their entire distribution. Decision support models are a tool that can inform natural resource management decisions with consideration of the perspectives from a variety of stakeholders who work across large geographic and jurisdictional extents. We offer an example of a decision support model that was developed by several Federal and State natural resource agencies to rank Bull Trout&nbsp;</span><i>Salvelinus confluentus</i><span>&nbsp;core areas for prioritizing conservation investment within Oregon, USA. We engaged State level decision makers to identify parameters believed to be influential in determining funding allocations for Bull Trout core areas. Parameters were linked in a model framework that was further refined with input from local Bull Trout experts with knowledge specific to the various core areas. The model produces a relative priority value that is a combination of the conservation risk to the species and the management capacity to address threats. A series of sensitivity analyses suggests that Bull Trout persistence and threat score are most influential in determining the relative priority of a core area, and life-history and genetic diversity are least influential. One of the more powerful products from this work is an interactive web-based application (</span><a class=\"linkBehavior\" href=\"https://das.ecosphere.fws.gov/public/obts/\" data-mce-href=\"https://das.ecosphere.fws.gov/public/obts/\">https://das.ecosphere.fws.gov/public/obts/</a><span>) that anyone can use to explore how their beliefs in parameter values will affect the relative priority of Bull Trout core areas across Oregon. Our modeling effort is an example of engaging stakeholders with different roles in species recovery and across a large geographic area to create a clearer path forward in allocating limited resources for species recovery. This approach can be employed to address a number of natural resource management situations across species and habitats.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10834","usgsCitation":"Brignon, W.R., Davis, M.B., Gunkel, S., Dunham, J.B., Meeuwig, M.H., Allen, C.S., and Clements, S., 2023, Engaging stakeholders to develop a decision support model of conservation risk and management capacity to prioritize investments in Bull Trout recovery: North American Journal of Fisheries Management, v. 43, no. 3, p. 821-838, https://doi.org/10.1002/nafm.10834.","productDescription":"18 p.","startPage":"821","endPage":"838","ipdsId":"IP-140598","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":407511,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70263330,"text":"70263330 - 2023 - Development of a companion questionnaire for “Did You Feel It?”: Assessing response in earthquakes where an earthquake early warning may have been received","interactions":[],"lastModifiedDate":"2025-02-06T16:46:07.651241","indexId":"70263330","displayToPublicDate":"2022-08-25T10:43:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Development of a companion questionnaire for “Did You Feel It?”: Assessing response in earthquakes where an earthquake early warning may have been received","docAbstract":"<p><span>Earthquake early warning (EEW) systems are relatively new technologies having first emerged as regional systems in the 1990s. Japan was the first nation to develop and implement a nationwide system in October 2007, and in the United States, ShakeAlert</span><sup>®</sup><span>&nbsp;became available on the entire length of the US West Coast in May 2021. Assessing how EEW is perceived and utilized by alert recipients is considered essential. Such assessments are necessary to evaluate whether alert recipients are taking advantage of alert messages to initiate protective actions upon receipt of an alert, how they regard the usefulness of alerts, desirable thresholds for issuing alerts, and other aspects of these systems. Having information from users will also facilitate assessments of the success of earthquake preparedness educational programs such as the ShakeOut and whether annual drills which include information on EEW systems are resulting in behavioral response consistent with the content of these programs. Finally, information on EEW utilization will provide data useful to social scientists who study hazards to advance our understanding of behavioral response to warnings. Survey research in the aftermath of a significant earthquake in which an EEW has been issued is one obvious method of achieving these objectives and there already exist a number of survey instruments for this purpose. A related strategy and the goal of the present research is to develop a brief questionnaire, consistent with those already developed, as a supplement to the United States Geological Survey’s “Did You Feel It?” questionnaire that has provided earthquake intensities and information on behavioral response in earthquakes, both domestic and international, since 2004. Having the intensity level at each respondent’s location is essential for relating their perspectives and actions to the shaking they experienced.</span></p>","language":"English","publisher":"Sage","doi":"10.1177/87552930221116133","usgsCitation":"Goltz, J.D., Wald, D.J., McBride, S., deGroot, R.M., Breeden, J., and Bostrom, A., 2023, Development of a companion questionnaire for “Did You Feel It?”: Assessing response in earthquakes where an earthquake early warning may have been received: Earthquake Spectra, v. 39, no. 1, p. 434-453, https://doi.org/10.1177/87552930221116133.","productDescription":"20 p.","startPage":"434","endPage":"453","ipdsId":"IP-141493","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":481757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Goltz, James D.","contributorId":198432,"corporation":false,"usgs":false,"family":"Goltz","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":926418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":926420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"deGroot, Robert Michael 0000-0001-9995-4207","orcid":"https://orcid.org/0000-0001-9995-4207","contributorId":239577,"corporation":false,"usgs":true,"family":"deGroot","given":"Robert","email":"","middleInitial":"Michael","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breeden, Jolie","contributorId":350455,"corporation":false,"usgs":false,"family":"Breeden","given":"Jolie","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":926422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bostrom, Ann 0000-0002-6399-3404","orcid":"https://orcid.org/0000-0002-6399-3404","contributorId":239575,"corporation":false,"usgs":false,"family":"Bostrom","given":"Ann","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":926423,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70236439,"text":"70236439 - 2023 - Range-wide sources of variation in reproductive rates of northern spotted owls","interactions":[],"lastModifiedDate":"2023-01-18T16:01:33.826947","indexId":"70236439","displayToPublicDate":"2022-08-25T06:36:25","publicationYear":"2023","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":"Range-wide sources of variation in reproductive rates of northern spotted owls","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>We conducted a range-wide investigation of the dynamics of site level reproductive rate of northern spotted owls using survey data from 11 study areas across the sub-species geographic range collected during 1993–2018. Our analytical approach accounted for imperfect detection of owl pairs and misclassification of successful reproduction (i.e., at least one young fledged) and contributed further insights into northern spotted owl population ecology and dynamics. Both nondetection and state misclassification were important, especially because factors affecting these sources of error also affected focal ecological parameters. Annual probabilities of site occupancy were greatest at sites with successful reproduction in the previous year and lowest for sites not occupied by a pair in the previous year. Site-specific occupancy transition probabilities declined over time and were negatively affected by barred owl presence. Overall, the site-specific probability of successful reproduction showed substantial year-to-year fluctuations and was similar for occupied sites that did and did not experience successful reproduction the previous year. Site-specific probabilities for successful reproduction were very small for sites that were unoccupied the previous year. Barred owl presence negatively affected the probability of successful reproduction by northern spotted owls in Washington and California, as predicted, but the effect in Oregon was mixed. The proportions of sites occupied by northern spotted owl pairs showed steep, near-monotonic declines over the study period, with all study areas showing the lowest observed levels of occupancy to date. If trends continue it is likely that northern spotted owls will become extirpated throughout large portions of their range in the coming decades.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2726","usgsCitation":"Rockweit, J.T., Jenkins, J.M., Hines, J.E., Nichols, J., Dugger, K., Franklin, A.B., Carlson, P.C., Kendall, W.L., Lesmeister, D., McCafferty, C., Ackers, S., Andrews, L.S., Bailey, L., Burgher, J., Burnham, K.P., Chestnut, T.E., Conner, M.M., Davis, R.J., Dilione, K., Forsman, E.D., Glenn, E., Gremel, S., Hamm, K.A., Herter, D.R., Higley, J., Horn, R., Lamphear, D., McDonald, T.L., Reid, J.A., Schwarz, C.J., Simon, D.C., Sovern, S.G., Swingle, J.K., Wiens, D., Wise, H., and Yackulic, C.B., 2023, Range-wide sources of variation in reproductive rates of northern spotted owls: Ecological Applications, v. 33, no. 1, e2726, 25 p., https://doi.org/10.1002/eap.2726.","productDescription":"e2726, 25 p.","ipdsId":"IP-133513","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":445471,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2726","text":"Publisher Index Page"},{"id":406294,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Rockweit, Jeremy T.","contributorId":202538,"corporation":false,"usgs":false,"family":"Rockweit","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":36473,"text":"Colorado Cooperative Fish and Wildlife Unit","active":true,"usgs":false}],"preferred":false,"id":851002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Julianna M","contributorId":214850,"corporation":false,"usgs":false,"family":"Jenkins","given":"Julianna","email":"","middleInitial":"M","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":851003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":851004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":199078,"corporation":false,"usgs":false,"family":"Nichols","given":"James D.","affiliations":[],"preferred":false,"id":851005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":851006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Franklin, Alan B.","contributorId":101999,"corporation":false,"usgs":false,"family":"Franklin","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research 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,{"id":70234260,"text":"70234260 - 2023 - Assessing population genomic structure and polyploidy: A crucial step for native plant restoration","interactions":[],"lastModifiedDate":"2023-03-15T14:19:26.847684","indexId":"70234260","displayToPublicDate":"2022-08-05T08:17:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing population genomic structure and polyploidy: A crucial step for native plant restoration","docAbstract":"<p>Establishing an effective restoration program requires baseline genetic information to make sound decisions for seed increase and transfer. For many plants this information is lacking, especially among native forbs that are critical for pollinator health.<span>&nbsp;</span><i>Erigeron speciosus</i><span>&nbsp;</span>is a widespread, perennial forb occupying montane environments in the western United States and Canada. This species is important in fostering pollinator diversity. Our study examines the population genetic patterns across the species range using reduced-representation sequencing and surveys for genome duplication using flow cytometry and cytology. These genomic tools provide critical information for seed increase and seed transfer, necessary for restoration programs. Population genetic differentiation (<i>F</i><sub>ST</sub>) average was 0.13 and ranged from 0.05 to 0.24 among 23 collection sites. Model-based Bayesian clustering supported a model with collection sites grouped into two populations, occupying distinct geographic regions of this species range. A genetic distance-based neighbor-joining tree also supported this division. Flow cytometry of 53 samples from 17 populations had 2C values that ranged from 1.7 to 3.6&nbsp;pg with a mean 2C value of 2.3&nbsp;pg. Putative triploids were found in two individuals from one collection site. The spatial distribution of genetic structure supports regionally based taxonomic descriptions of two varieties:<span>&nbsp;</span><i>speciosus</i><span>&nbsp;</span>in the North and<span>&nbsp;</span><i>macranthus</i><span>&nbsp;</span>in the South. This assessment of genetic structure and genome duplication describes an effective approach in developing baseline genetic information for restoration species, especially those species that may harbor complex taxonomy and polyploidy.</p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13740","usgsCitation":"Richardson, B.A., Massatti, R., Islam-Faridi, N., Johnson, S., and Kilkenny, F.F., 2023, Assessing population genomic structure and polyploidy: A crucial step for native plant restoration: Restoration Ecology, v. 31, no. 3, e13740, 11 p., https://doi.org/10.1111/rec.13740.","productDescription":"e13740, 11 p.","ipdsId":"IP-133482","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445480,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.13740","text":"Publisher Index Page"},{"id":404872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, Montana, Oregon, South Dakota, Utah, Wyoming","otherGeospatial":"Idaho Batholith, Rocky Mountains, Snake River Plain, Uinta Mountains, Wasatch Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.61962890624999,\n              43.929549935614595\n            ],\n            [\n              -117.70751953125,\n              41.983994270935625\n            ],\n            [\n              -114.10400390625,\n              41.983994270935625\n            ],\n            [\n              -114.08203125,\n              36.96744946416934\n            ],\n            [\n              -107.16064453125,\n              37.00255267215955\n            ],\n            [\n              -102.45849609375,\n              44.166444664458595\n            ],\n            [\n              -111.533203125,\n              48.99463598353405\n            ],\n            [\n              -117.61962890624999,\n              43.929549935614595\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Bryce A.","contributorId":207820,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","middleInitial":"A.","affiliations":[{"id":37640,"text":"U.S.D.A. Forest Service Rocky Mountain Research Station, Provo, UT, 84606 USA","active":true,"usgs":false}],"preferred":false,"id":848356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":848357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Islam-Faridi, Nurul","contributorId":294566,"corporation":false,"usgs":false,"family":"Islam-Faridi","given":"Nurul","email":"","affiliations":[{"id":63605,"text":"USDA Forest Service, Southern Research Station, College Station, Texas","active":true,"usgs":false}],"preferred":false,"id":848358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Skylar","contributorId":294567,"corporation":false,"usgs":false,"family":"Johnson","given":"Skylar","email":"","affiliations":[{"id":63608,"text":"USDA Forest Service, Rocky Mountain Research Station, Moscow, Idaho","active":true,"usgs":false}],"preferred":false,"id":848359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kilkenny, Francis F.","contributorId":191031,"corporation":false,"usgs":false,"family":"Kilkenny","given":"Francis","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":848360,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241410,"text":"70241410 - 2023 - The global seismographic network reveals atmospherically coupled normal modes excited by the 2022 Hunga Tonga eruption","interactions":[],"lastModifiedDate":"2023-03-17T12:13:22.993684","indexId":"70241410","displayToPublicDate":"2022-07-26T07:09:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"The global seismographic network reveals atmospherically coupled normal modes excited by the 2022 Hunga Tonga eruption","docAbstract":"<p class=\"chapter-para\">The eruption of the submarine Hunga Tonga-Hunga Haʻapai (Hunga Tonga) volcano on 15 January 2022, was one of the largest volcanic explosions recorded by modern geophysical instrumentation. The eruption was notable for the broad range of atmospheric wave phenomena it generated and for their unusual coupling with the oceans and solid Earth. The event was recorded worldwide across the Global Seismographic Network (GSN) by seismometers, microbarographs and infrasound sensors. The broad-band instrumentation in the GSN allows us to make high fidelity observations of spheroidal solid Earth normal modes from this event at frequencies near 3.7 and 4.4 mHz. Similar normal mode excitations were reported following the 1991 Pinatubo (Volcanic Explosivity Index of 6) eruption and were predicted, by theory, to arise from the excitation of mesosphere-scale acoustic modes of the atmosphere coupling with the solid Earth. Here, we compare observations for the Hunga Tonga and Pinatubo eruptions and find that both strongly excited the solid Earth normal mode<span>&nbsp;</span><sub>0</sub>S<sub>29</sub><span>&nbsp;</span>(3.72 mHz). However, the mean modal amplitude was roughly 11 times larger for the 2022 Hunga Tonga eruption. Estimates of attenuation (<i>Q</i>) for<span>&nbsp;</span><sub>0</sub>S<sub>29</sub><span>&nbsp;</span>across the GSN from temporal modal decay give<span>&nbsp;</span><i>Q&nbsp;</i>=&nbsp;332&nbsp;±&nbsp;101, which is higher than estimates of<span>&nbsp;</span><i>Q</i><span>&nbsp;</span>for this mode using earthquake data (<i>Q</i>&nbsp;=&nbsp;186.9&nbsp;±&nbsp;5). Two microbarographs located at regional distances (&lt;1000&nbsp;km) to the volcano provide direct observations of the fundamental acoustic mode of the atmosphere. These pressure oscillations, first observed approximately 40 min after the onset of the eruption, are in phase with the seismic Rayleigh wave excitation and are recorded only by microbarographs in proximity (&lt;1500&nbsp;km) to the eruption. We infer that excitation of fundamental atmospheric modes occurs within a limited area close to the site of the eruption, where they excite select solid Earth fundamental spheroidal modes of similar frequencies that are globally recorded and have a higher apparent<span>&nbsp;</span><i>Q</i><span>&nbsp;</span>due to the extended duration of atmospheric oscillations.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggac284","usgsCitation":"Ringler, A.T., Anthony, R.E., Aster, R., Taira, T., Shiro, B., Wilson, D.C., De Angelis, S.H., Ebeling, C., Haney, M.M., Matoza, R., and Ortiz, H., 2023, The global seismographic network reveals atmospherically coupled normal modes excited by the 2022 Hunga Tonga eruption: Geophysical Journal International, v. 232, no. 3, p. 2160-2174, https://doi.org/10.1093/gji/ggac284.","productDescription":"15 p.","startPage":"2160","endPage":"2174","ipdsId":"IP-139300","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":414335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Hunga Tonga","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -176.0319755204097,\n              -19.34999539921209\n            ],\n            [\n              -176.0319755204097,\n              -21.715107936512553\n            ],\n            [\n              -174.05527592325726,\n              -21.715107936512553\n            ],\n            [\n              -174.05527592325726,\n              -19.34999539921209\n            ],\n            [\n              -176.0319755204097,\n              -19.34999539921209\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"232","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":866773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":866774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aster, Rick","contributorId":303207,"corporation":false,"usgs":false,"family":"Aster","given":"Rick","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":866775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taira, T.","contributorId":303208,"corporation":false,"usgs":false,"family":"Taira","given":"T.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":866776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":866777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":866778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De Angelis, S. H.","contributorId":196732,"corporation":false,"usgs":false,"family":"De Angelis","given":"S.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":866779,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ebeling, C.","contributorId":297933,"corporation":false,"usgs":false,"family":"Ebeling","given":"C.","email":"","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":866780,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":866781,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Matoza, R.","contributorId":303211,"corporation":false,"usgs":false,"family":"Matoza","given":"R.","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":866782,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ortiz, H.","contributorId":303213,"corporation":false,"usgs":false,"family":"Ortiz","given":"H.","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":866783,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70233507,"text":"70233507 - 2023 - The Curiosity Rover’s exploration of Glen Torridon, Gale crater, Mars: An overview of the campaign and scientific results","interactions":[],"lastModifiedDate":"2023-01-18T16:00:08.410122","indexId":"70233507","displayToPublicDate":"2022-06-26T06:57:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"The Curiosity Rover’s exploration of Glen Torridon, Gale crater, Mars: An overview of the campaign and scientific results","docAbstract":"<div class=\"article-section__content en main\"><p>The Mars Science Laboratory rover,<span>&nbsp;</span><i>Curiosity</i>, explored the clay mineral-bearing Glen Torridon region for one martian year between January 2019 and January 2021, including a short campaign onto the Greenheugh pediment. The Glen Torridon campaign sought to characterize the geology of the area, seek evidence of habitable environments, and document the onset of a potentially global climatic transition during the Hesperian era.<span>&nbsp;</span><i>Curiosity</i><span>&nbsp;</span>roved 5 km in total throughout Glen Torridon, from the Vera Rubin ridge to the northern margin of the Greenheugh pediment.<span>&nbsp;</span><i>Curiosity</i><span>&nbsp;</span>acquired samples from 11 drill holes during this campaign and conducted the first martian thermochemolytic-based organics detection experiment with the Sample Analysis at Mars instrument suite. The lowest elevations within Glen Torridon represent a continuation of lacustrine Murray formation deposits, but overlying widespread cross bedded sandstones indicate an interval of more energetic fluvial environments and prompted the definition of a new stratigraphic formation in the Mount Sharp group called the Carolyn Shoemaker formation. Glen Torridon hosts abundant phyllosilicates yet remains compositionally and mineralogically comparable to the rest of the Mount Sharp group. Glen Torridon samples have a great diversity and abundance of sulfur-bearing organic molecules, which are consistent with the presence of ancient refractory organic matter. The Glen Torridon region experienced heterogeneous diagenesis, with the most striking alteration occurring just below the Siccar Point unconformity at the Greenheugh pediment. Results from the pediment campaign show that the capping sandstone formed within the Stimson Hesperian aeolian sand sea that experienced seasonal variations in wind direction.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JE007185","usgsCitation":"Bennett, K.A., Fox, V.K., Bryk, A., Dietrich, W.E., Fedo, C.M., Edgar, L.A., Thorpe, M.T., Williams, A., Wong, G.M., Dehouck, E., McAdam, A., Sutter, B., Millan, M., Banham, S., Bedford, C.C., Bristow, T.F., Fraeman, A.A., Vasavada, A.R., Grotzinger, J.P., Thompson, L., O’Connell-Cooper, C., Gasda, P.J., Rudolph, A., Sullivan, R., Arvidson, R.E., Cousin, A., Horgan, B.H., Stack, K.M., Treiman, A.H., Eigenbrode, J., and Caravaca, G., 2023, The Curiosity Rover’s exploration of Glen Torridon, Gale crater, Mars: An overview of the campaign and scientific results: JGR Planets, v. 128, no. 1, e2022JE007185, 31 p., https://doi.org/10.1029/2022JE007185.","productDescription":"e2022JE007185, 31 p.","ipdsId":"IP-137394","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":445501,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022je007185","text":"Publisher Index Page"},{"id":404317,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale Crater, Glen Torridon, Mars","volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":847279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fox, Valerie K.","contributorId":167652,"corporation":false,"usgs":false,"family":"Fox","given":"Valerie","email":"","middleInitial":"K.","affiliations":[{"id":24730,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":847280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryk, Alexander","contributorId":237065,"corporation":false,"usgs":false,"family":"Bryk","given":"Alexander","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":847281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dietrich, William E.","contributorId":195599,"corporation":false,"usgs":false,"family":"Dietrich","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":847282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fedo, Christopher M.","contributorId":229497,"corporation":false,"usgs":false,"family":"Fedo","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":847283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":847284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thorpe, Michael T.","contributorId":261804,"corporation":false,"usgs":false,"family":"Thorpe","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":53022,"text":"Jacobs 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Catherine","contributorId":293554,"corporation":false,"usgs":false,"family":"O’Connell-Cooper","given":"Catherine","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":847299,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Gasda, Patrick J.","contributorId":196313,"corporation":false,"usgs":false,"family":"Gasda","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":847300,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Rudolph, Amanda","contributorId":293555,"corporation":false,"usgs":false,"family":"Rudolph","given":"Amanda","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":847301,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sullivan, Robert","contributorId":229494,"corporation":false,"usgs":false,"family":"Sullivan","given":"Robert","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":847302,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Arvidson, Ray E.","contributorId":237067,"corporation":false,"usgs":false,"family":"Arvidson","given":"Ray","email":"","middleInitial":"E.","affiliations":[{"id":35028,"text":"Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":847303,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Cousin, Agnes","contributorId":291470,"corporation":false,"usgs":false,"family":"Cousin","given":"Agnes","affiliations":[{"id":27192,"text":"IRAP","active":true,"usgs":false}],"preferred":false,"id":847304,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Horgan, Briony H. N. 0000-0001-6314-9724","orcid":"https://orcid.org/0000-0001-6314-9724","contributorId":258276,"corporation":false,"usgs":false,"family":"Horgan","given":"Briony","email":"","middleInitial":"H. N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":847305,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Stack, Kathryn M. 0000-0003-3444-6695","orcid":"https://orcid.org/0000-0003-3444-6695","contributorId":146791,"corporation":false,"usgs":false,"family":"Stack","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":847306,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Treiman, Allan H.","contributorId":172307,"corporation":false,"usgs":false,"family":"Treiman","given":"Allan","email":"","middleInitial":"H.","affiliations":[{"id":12445,"text":"Lunar and Planetary Institute","active":true,"usgs":false}],"preferred":false,"id":847307,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Eigenbrode, Jennifer","contributorId":293560,"corporation":false,"usgs":false,"family":"Eigenbrode","given":"Jennifer","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":847308,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Caravaca, Gwenael","contributorId":293561,"corporation":false,"usgs":false,"family":"Caravaca","given":"Gwenael","email":"","affiliations":[{"id":63327,"text":"University Copenhagen","active":true,"usgs":false}],"preferred":false,"id":847309,"contributorType":{"id":1,"text":"Authors"},"rank":31}]}}
,{"id":70254676,"text":"70254676 - 2023 - Alaskan Yelloweye Rockfish fecundity revealed through an automated egg count and digital imagery method","interactions":[],"lastModifiedDate":"2024-06-06T11:44:51.490885","indexId":"70254676","displayToPublicDate":"2022-05-03T06:39:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Alaskan Yelloweye Rockfish fecundity revealed through an automated egg count and digital imagery method","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Spawning stock biomass (SSB) is often used as an index for reproductive potential (RP) in fisheries stock assessments. This method assumes that mature female biomass is proportional to total egg production and implies that (1) the fecundity–length relationship follows a cubic function or (2) relative fecundity is constant. For many marine fishes, adequate fecundity estimates to evaluate these relationships are lacking. This study estimated fecundity and fecundity relationships for Yelloweye Rockfish<span>&nbsp;</span><i>Sebastes ruberrimus</i><span>&nbsp;</span>and evaluated an automated method of counting eggs and larvae. We collected Yelloweye Rockfish ovaries (<i>N</i> = 90) from the northern Gulf of Alaska, including Prince William Sound, Alaska, during 2018–2019 and used the gravimetric method and image analysis software to count eggs from digital camera images. To evaluate the speed, accuracy, and precision of the automated counting procedure, one-third of the gravimetric samples were also manually counted. Image analysis software was approximately four times faster but equally accurate and precise for fecundity estimates relative to manual counts. Fecundity ranged from 53,249 to 3.052 × 10<sup>6</sup><span>&nbsp;</span>eggs (mean ± SD = 896,762 ± 699,504 eggs), and relative fecundity increased with female FL and ranged from 68 to 435 eggs/g of body weight (mean ± SD = 226 ± 87 eggs/g). The use of SSB for Yelloweye Rockfish stock assessment could underestimate the contribution to egg production by larger (&gt;5.6-kg) females, overestimate the contribution by smaller females, and lead to biased biological reference points. This study provides critical information to more realistically model RP and improve stock assessment inputs for the development of harvest control rules for Yelloweye Rockfish. Additionally, the use of image analysis software to count eggs in digital images proved to be an effective fecundity estimation method that could be applied to other highly fecund fish species for which the time demand of manual counting methods would be prohibitive.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10768","usgsCitation":"Arthur, D.E., Falke, J.A., Blain-Roth, B.J., and Sutton, T., 2023, Alaskan Yelloweye Rockfish fecundity revealed through an automated egg count and digital imagery method: North American Journal of Fisheries Management, v. 42, no. 4, p. 828-838, https://doi.org/10.1002/nafm.10768.","productDescription":"11 p.","startPage":"828","endPage":"838","ipdsId":"IP-128320","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -150.66869429879478,\n              58.66130275145309\n            ],\n            [\n              -142.53881148629478,\n              58.66130275145309\n            ],\n            [\n              -142.53881148629478,\n              62.048642839456136\n            ],\n            [\n              -150.66869429879478,\n              62.048642839456136\n            ],\n            [\n              -150.66869429879478,\n              58.66130275145309\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Arthur, Donald E.","contributorId":337224,"corporation":false,"usgs":false,"family":"Arthur","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":902214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blain-Roth, Brittany J.","contributorId":337227,"corporation":false,"usgs":false,"family":"Blain-Roth","given":"Brittany","email":"","middleInitial":"J.","affiliations":[{"id":80997,"text":"Sport Fish Division","active":true,"usgs":false}],"preferred":false,"id":902216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, Trent M.","contributorId":337228,"corporation":false,"usgs":false,"family":"Sutton","given":"Trent M.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":902217,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224973,"text":"70224973 - 2023 - Anthropogenic landcover impacts fluvial dissolved organic matter composition in the Upper Mississippi River Basin","interactions":[],"lastModifiedDate":"2023-06-27T16:36:49.225489","indexId":"70224973","displayToPublicDate":"2021-10-07T07:44:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic landcover impacts fluvial dissolved organic matter composition in the Upper Mississippi River Basin","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Landcover changes have altered the natural carbon cycle; however, most landcover studies focus on either forest conversion to agriculture or urban, rarely both. We present differences in dissolved organic carbon (DOC) concentrations and dissolved organic matter (DOM) molecular composition within Upper Mississippi River Basin low order streams and rivers draining one of three dominant landcovers (forest, agriculture, and urban). Streams draining forest and urban landcovers have greater DOC concentrations, likely driven by differences in carbon sourcing, microbial processing, and soil disturbance. Using Fourier transform-ion cyclotron resonance mass spectrometry, 24% of assigned molecular formulae are common across all landcovers. Relative abundances of N-,S- heteroatomic formulae (CHON, CHOS, CHONS) are higher for agricultural and urban streams, with agricultural stream DOM having more N-containing formulae compared to urban stream DOM, which has more S-containing formulae. Higher N-,S- heteroatomic formulae abundance, along with enrichment in aliphatic, N-aliphatic, and highly unsaturated and phenolic (low O/C) compound categories within agricultural and urban stream DOM are likely to result from increased anthropogenic inputs, autochthonous production, and microbial processing associated with agricultural and urban impacts. Reduced N-,S- heteroatomic formulae abundances in forested stream DOM, along with enrichments in condensed aromatics, polyphenolics, and highly unsaturated phenolic (high O/C) compound categories, likely reflect greater contributions from surrounding organic-rich forest soil and vegetation. Overall, landcover change from forested to agriculture lowers DOC concentrations and changes from forested to agriculture or urban increases autochthonous, and presumably more biolabile, DOM contributions with ramifications for stream biogeochemical cycling.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10533-021-00852-1","usgsCitation":"Vaughn, D.R., Kellerman, A.M., Wickland, K., Striegl, R.G., Podgorski, D.C., Hawkings, J.R., Nienhuis, J., Dornblaser, M., Stets, E.G., and Spencer, R., 2023, Anthropogenic landcover impacts fluvial dissolved organic matter composition in the Upper Mississippi River Basin: Biogeochemistry, v. 164, p. 117-141, https://doi.org/10.1007/s10533-021-00852-1.","productDescription":"25 p.","startPage":"117","endPage":"141","ipdsId":"IP-129999","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467135,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://dspace.library.uu.nl/handle/1874/431727","text":"External Repository"},{"id":390381,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.75541803694763,\n              47.68663918909772\n            ],\n            [\n              -96.75541803694763,\n              42.07525258120208\n            ],\n            [\n              -89.11382661728497,\n              42.07525258120208\n            ],\n            [\n              -89.11382661728497,\n              47.68663918909772\n            ],\n            [\n              -96.75541803694763,\n              47.68663918909772\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"164","noUsgsAuthors":false,"publicationDate":"2021-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughn, Derrick R.","contributorId":267313,"corporation":false,"usgs":false,"family":"Vaughn","given":"Derrick","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":824952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kellerman, Anne M.","contributorId":204172,"corporation":false,"usgs":false,"family":"Kellerman","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":824953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":824954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":824955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":824956,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hawkings, Jon R.","contributorId":267314,"corporation":false,"usgs":false,"family":"Hawkings","given":"Jon","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":824957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nienhuis, Jaap","contributorId":267315,"corporation":false,"usgs":false,"family":"Nienhuis","given":"Jaap","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":824958,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dornblaser, Mark 0000-0002-6298-3757","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":220741,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":824959,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":824960,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spencer, Robert G. M.","contributorId":247636,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G. M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":824961,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70224549,"text":"70224549 - 2023 - An assessment of fish herding techniques: Management implications for mass removal and control of silver carp","interactions":[],"lastModifiedDate":"2023-03-01T16:23:03.557304","indexId":"70224549","displayToPublicDate":"2021-08-10T08:20:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of fish herding techniques: Management implications for mass removal and control of silver carp","docAbstract":"<p><span>We assessed the effectiveness of herding techniques on adult Silver Carp&nbsp;</span><i>Hypophthalmichthys molitrix</i><span>&nbsp;in a tributary to the Missouri River. Sites (600&nbsp;m) were contained using block nets and treated with one of five herding techniques: (1) a method commonly used by commercial fishers in the United States (commercial technique), (2) pulsed-DC electrofishing (electric technique), (3) broadband sound administered with underwater speakers (sound technique), (4) both sound and electric in combination (combination technique), and (5) solely the boat, with no added stimulus (control). Treatments were administered at sites with repeated 20-min runs (3×) in a slow, bank-to-bank pattern downstream through a 4.5-m opening between the block net and shoreline. Herding effectiveness was quantified by run category (cumulative for the second and third runs) using adaptive resolution imaging sonar. Mean herding effectiveness of the combination technique was three to four times greater than that of the other techniques regardless of the number of runs included. The effectiveness of the combination technique was significantly greater than the sound technique and control with inclusion of the second run and the commercial technique with inclusion of the third run. All herding techniques, excluding the combination technique, were statistically similar to the control. Inclusion of the second run was advantageous for all techniques, as herding effectiveness increased 54–103%, whereas inclusion of the third run was less beneficial (9–17% increase). Repeated runs allowed fish additional time to vacate the sample reach, but behavioral responses (i.e., acclimation or sensitization) were likely technique dependent. This study describes which techniques are most effective for herding Silver Carp and provides insight for improving mass removal efforts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10685","usgsCitation":"Ridgway, J.L., Lawson, K., Shier, S.A., Calfee, R.D., and Chapman, D., 2023, An assessment of fish herding techniques: Management implications for mass removal and control of silver carp: North American Journal of Fisheries Management, v. 43, no. 1, p. 176-188, https://doi.org/10.1002/nafm.10685.","productDescription":"13 p.","startPage":"176","endPage":"188","ipdsId":"IP-126694","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":445564,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10685","text":"Publisher Index Page"},{"id":435586,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T8YYIE","text":"USGS data release","linkHelpText":"Invasive carp movement rates among five herding techniques using adaptive resolution imaging sonar on the Lower Perche Creek, Columbia, MO"},{"id":389805,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Missouri River, Perche Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.42777778,\n              38.85555556\n            ],\n            [\n              -92.38888889,\n              38.85555556\n            ],\n            [\n              -92.38888889,\n              38.81666667\n            ],\n            [\n              -92.42777778,\n              38.81666667\n            ],\n            [\n              -92.42777778,\n              38.85555556\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ridgway, Josey Lee 0000-0003-4157-7255","orcid":"https://orcid.org/0000-0003-4157-7255","contributorId":238277,"corporation":false,"usgs":true,"family":"Ridgway","given":"Josey","email":"","middleInitial":"Lee","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":824034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawson, Katelyn M.","contributorId":201981,"corporation":false,"usgs":false,"family":"Lawson","given":"Katelyn M.","affiliations":[{"id":36314,"text":"University of Florida/IFAS","active":true,"usgs":false}],"preferred":false,"id":824035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shier, Stephen August 0000-0002-8940-601X","orcid":"https://orcid.org/0000-0002-8940-601X","contributorId":266006,"corporation":false,"usgs":true,"family":"Shier","given":"Stephen","email":"","middleInitial":"August","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":824036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":824037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":824038,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240287,"text":"70240287 - 2022 - Sea otters in a California estuary: Detecting temporal and spatial dynamics with volunteer monitoring","interactions":[],"lastModifiedDate":"2023-02-03T15:16:46.34067","indexId":"70240287","displayToPublicDate":"2023-02-03T09:10:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Sea otters in a California estuary: Detecting temporal and spatial dynamics with volunteer monitoring","docAbstract":"<p><span>Volunteer monitoring can support conservation of imperiled wildlife, by providing higher resolution data in space and time than those available from professional scientists. However, concerns have been raised that data collected by amateurs are inaccurate or inconsistent and thus do not allow for robust detection of spatial or temporal trends. We evaluated the rigor and value of volunteer monitoring data for one iconic wildlife species, the southern sea otter (</span><i>Enhydra lutris nereis</i><span>), in Elkhorn Slough estuary in central California, USA, and explored whether volunteer monitoring could provide added value to complement limited professional surveys. First, we compiled and analyzed sea otter counts taken on daily ecotourist boat trips along the estuary, and then compared temporal patterns to data collected by professional scientists tasked with monitoring this federally listed species. Second, we analyzed data on sea otter abundance, habitat use, and behavior collected by a team of trained volunteers, the Elkhorn Slough Reserve Otter Monitoring Program. Overall, we demonstrated the ability to detect important ecological patterns relevant to sea otter conservation and wetland habitat management using volunteer-derived datasets. Long-term trends and inter-annual variability were similar between professional agency monitoring data and volunteer datasets. Moreover, the much higher frequency of volunteer observations allowed for seasonal and tidal dynamics to be detected that could not be revealed by less frequent professional monitoring. We found higher sea otter abundance in the estuary in spring–summer, indicating seasonality in use of the estuary. We detected differences in habitat use of the estuary between higher and lower tides, and greater frequency of foraging at low tide and in certain areas. Volunteer observations revealed fine-scale differences in habitat use: eelgrass beds were used much more heavily than adjacent areas only a few meters away. Volunteer data can thus provide critical information about coastal habitat use and behavior that can improve conservation strategies for threatened wildlife species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4300","usgsCitation":"Eby, R., Rosso, S., Copriviza, J., Scoles, R., Gideon, Y., Mancino, J., Mayer, K.A., Yee, J.L., and Wasson, K., 2022, Sea otters in a California estuary: Detecting temporal and spatial dynamics with volunteer monitoring: Ecosphere, v. 13, no. 11, e4300, 15 p., https://doi.org/10.1002/ecs2.4300.","productDescription":"e4300, 15 p.","ipdsId":"IP-143440","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":445592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4300","text":"Publisher Index Page"},{"id":412675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Elkhorn Slough","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.79765172428456,\n              36.82394051052147\n            ],\n            [\n              -121.7935318512379,\n              36.80456301217137\n            ],\n            [\n              -121.79610677189227,\n              36.78531809024649\n            ],\n            [\n              -121.77018590397208,\n              36.781606013478594\n            ],\n            [\n              -121.7525047821459,\n              36.786142971776414\n            ],\n            [\n              -121.75353475040765,\n              36.80291363688889\n           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John","contributorId":301989,"corporation":false,"usgs":false,"family":"Copriviza","given":"John","email":"","affiliations":[{"id":40430,"text":"Elkhorn Slough National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":863248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scoles, Robert","contributorId":221791,"corporation":false,"usgs":false,"family":"Scoles","given":"Robert","email":"","affiliations":[{"id":40430,"text":"Elkhorn Slough National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":863249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gideon, Yohn","contributorId":301991,"corporation":false,"usgs":false,"family":"Gideon","given":"Yohn","email":"","affiliations":[{"id":65380,"text":"Elkhorn Slough Safari","active":true,"usgs":false}],"preferred":false,"id":863250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mancino, Joseph","contributorId":301992,"corporation":false,"usgs":false,"family":"Mancino","given":"Joseph","email":"","affiliations":[{"id":65380,"text":"Elkhorn Slough Safari","active":true,"usgs":false}],"preferred":false,"id":863251,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mayer, Karl A.","contributorId":203504,"corporation":false,"usgs":false,"family":"Mayer","given":"Karl","email":"","middleInitial":"A.","affiliations":[{"id":36639,"text":"University of Wisconsin Zoological Museum, 250 North Mills Street, Madison, WI 53706 (PMH)              Sea Otter Research and Conservation Program, Monterey Bay Aquarium, 886 Cannery Row, Monterey, CA 93940","active":true,"usgs":false}],"preferred":false,"id":863252,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yee, Julie L. 0000-0003-1782-157X 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,{"id":70239744,"text":"70239744 - 2022 - Characterization of a small population of the orangeblack Hawaiian damselfly (Megalagrion xanthomelas) in anchialine pools at Kaloko-Honokōhau National Historical Park, Hawai‘i Island","interactions":[],"lastModifiedDate":"2023-01-16T18:44:21.138296","indexId":"70239744","displayToPublicDate":"2023-01-16T12:31:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5449,"text":"Proceedings of the Hawaiian Entomological Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characterization of a small population of the orangeblack Hawaiian damselfly (<i>Megalagrion xanthomelas</i>) in anchialine pools at Kaloko-Honokōhau National Historical Park, Hawai‘i Island","title":"Characterization of a small population of the orangeblack Hawaiian damselfly (Megalagrion xanthomelas) in anchialine pools at Kaloko-Honokōhau National Historical Park, Hawai‘i Island","docAbstract":"The endangered orangeblack Hawaiian damselfly (Megalagrion xanthomelas) is a lowland inhabitant of freshwater and brackish wetland environments. Formerly one of the most widely distributed native insects in Hawai‘i, it now appears restricted to small populations on the islands of O‘ahu, Moloka‘i, Maui, and Hawai‘i. On Hawai‘i island, anchialine pools provide important habitat for M. xanthomelas, and Kaloko-Honokōhau National Historical Park (Park) supports one of only a few documented populations on the western side of the island. This study aimed to estimate the population size of M. xanthomelas at this Park, characterize its habitat, and identify substrates on which females oviposit eggs. We conducted visual surveys for adult M. xanthomelas at anchialine pools during June 2016–August 2017. On average, the observed population was 10.7 individuals per month (range = 5–20; standard error = 1.3). Males were observed 6.1 times more frequently than females, likely reflecting the less cryptic nature of males compared to females. Females exhibited oviposition behavior on a variety of substrates, but small branches were used most frequently. Factors restricting this population are poorly known, but invasive fish may limit its distribution across the Park. Removal of invasive fishes from anchialine pools and ‘Aimakapā Fishpond may restore much habitat for this rare species in the Park.","language":"English","publisher":"Hawaiian Entomological Society","usgsCitation":"Peck, R., and Nash, S., 2022, Characterization of a small population of the orangeblack Hawaiian damselfly (Megalagrion xanthomelas) in anchialine pools at Kaloko-Honokōhau National Historical Park, Hawai‘i Island: Proceedings of the Hawaiian Entomological Society, v. 54, p. 93-109.","productDescription":"17 p.","startPage":"93","endPage":"109","ipdsId":"IP-142579","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":411961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":411957,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10125/104348"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hawai'i Island, Kaloko-Honokōhau National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.03574097933657,\n              19.690219512683953\n            ],\n            [\n              -156.03672808794715,\n              19.68935431489419\n            ],\n            [\n              -156.03424155189794,\n              19.667113870170397\n            ],\n            [\n              -156.0322385926034,\n              19.667409979952993\n            ],\n            [\n              -156.02907150202884,\n              19.668276577239155\n            ],\n            [\n              -156.02753670960968,\n              19.670494777392406\n            ],\n            [\n              -156.016194709686,\n              19.672532283100267\n            ],\n            [\n              -156.01925935377082,\n              19.67807076874334\n            ],\n            [\n              -156.02172677579534,\n              19.687723149358902\n            ],\n            [\n              -156.02455699944343,\n              19.69328357483691\n            ],\n            [\n              -156.03574097933657,\n              19.690219512683953\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":861706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nash, Sarah","contributorId":300993,"corporation":false,"usgs":false,"family":"Nash","given":"Sarah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":861707,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70239112,"text":"70239112 - 2022 - Environmental implications of Ptolemaic Period rodents and shrews from the Sacred Falcon Necropolis at Quesna, Egypt (Mammalia: Muridae and Soricidae)","interactions":[],"lastModifiedDate":"2022-12-28T13:59:27.583137","indexId":"70239112","displayToPublicDate":"2022-12-23T07:56:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9312,"text":"BMC Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Environmental implications of Ptolemaic Period rodents and shrews from the Sacred Falcon Necropolis at Quesna, Egypt (Mammalia: Muridae and Soricidae)","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Assemblages of mummified and preserved animals in necropoleis of Ptolemaic Period Egypt (ca. 332–30 BC) document some aspects of the ceremonial and religious practices of the ancient Egyptians, but study of these animal remains can also provide insight into the local environments in which the animals and humans lived.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Excavations of the Sacred Falcon Necropolis at Quesna in the Nile Delta have yielded many thousands of animal remains, mostly of raptors, but also of a lesser number of small, wild mammals. Among the latter, we identified four species of murid rodents (Rodentia: Muridae) and five species of shrews (Eulipotyphla: Soricidae). The soricids are of particular interest because they represent a more diverse assemblage of species than occurs in the delta today.&nbsp;They include one species,<span>&nbsp;</span><i>Crocidura gueldenstaedtii</i><span>&nbsp;</span>(Pallas, 1811), that no longer occurs in the delta and another,<span>&nbsp;</span><i>C. fulvastra</i><span>&nbsp;</span>(Sundevall, 1843), that is now extirpated from Egypt.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>The coexistence of this diverse small mammal community suggests that&nbsp;a greater availability and variety of mesic habitats were present during the Ptolemaic Period than occur there now. The local mammal faunas recovered at Quesna and other well-studied ancient Egyptian sites together provide evidence of a richer, more complex regional environment along the Nile Valley. They also provide important insight regarding the biogeography of the individual species comprising the faunas and about the extent of faunal turnover since the Ptolemaic Period.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s12862-022-02101-x","usgsCitation":"Woodman, N., Ikram, S., and Rowland, J., 2022, Environmental implications of Ptolemaic Period rodents and shrews from the Sacred Falcon Necropolis at Quesna, Egypt (Mammalia: Muridae and Soricidae): BMC Ecology and Evolution, v. 22, 148, 15 p., https://doi.org/10.1186/s12862-022-02101-x.","productDescription":"148, 15 p.","ipdsId":"IP-146568","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":445629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12862-022-02101-x","text":"Publisher Index Page"},{"id":411117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              28.801225653906357,\n              31.79045349776787\n            ],\n            [\n              28.801225653906357,\n              21.72994957348152\n            ],\n            [\n              36.795877357945784,\n              21.72994957348152\n            ],\n            [\n              36.795877357945784,\n              31.79045349776787\n            ],\n            [\n              28.801225653906357,\n              31.79045349776787\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2022-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":860088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ikram, Salima","contributorId":245249,"corporation":false,"usgs":false,"family":"Ikram","given":"Salima","affiliations":[{"id":49125,"text":"American University in Cairo","active":true,"usgs":false}],"preferred":false,"id":860089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, Joanne","contributorId":257046,"corporation":false,"usgs":false,"family":"Rowland","given":"Joanne","email":"","affiliations":[{"id":51967,"text":"Department of Archaeology, School of History, Classics, and Archaeology, The University of Edinburgh, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":860090,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250863,"text":"70250863 - 2022 - Biofouling of a unionid mussel by dreissenid mussels in nearshore zones of the Great Lakes","interactions":[],"lastModifiedDate":"2024-01-10T15:06:36.944751","indexId":"70250863","displayToPublicDate":"2022-12-13T09:01:40","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":"Biofouling of a unionid mussel by dreissenid mussels in nearshore zones of the Great Lakes","docAbstract":"<p><span>In North America, native unionid mussels are imperiled due to factors such as habitat degradation, pollution, and invasive species. One of the most substantial threats is that posed by dreissenid mussels, which are invasive mussels that attach to hard substrates including unionid shells and can restrict movement and feeding of unionids. This dreissenid mussel biofouling of unionids varies spatially in large ecosystems, such as the Great Lakes, with some areas having low enough biofouling to form effective refugia where unionid mussels might persist. Here, we measured biofouling on mussels suspended in cages over the growing season (generally first week in June to last week of August) over 3 years in nearshore areas in Lake Erie (2014–2016), Lake Michigan (Grand Traverse Bay, 2015 and Green Bay, 2016), and Lake Huron (2015). Biofouling varied substantially by years within Lake Erie, with increasingly higher biofouling rates each year. Although dreissenid mussels are present throughout these lakes, we observed very low biofouling in Grand Traverse Bay (Lake Michigan) and Saginaw Bay (Lake Huron), with no dreissenid mussels in 8 of 9 sites across these two bays. Sampling in the rivermouth of the Fox River (Wisconsin) and the Maumee River (Ohio) both showed very high biofouling in areas adjacent to the outlet of these tributaries into Green Bay and Maumee Bay (Lake Erie), respectively. These watersheds are dominated by agriculture, and we would expect high growth of primary producers (i.e., mussel food) and primary consumers (unionids and zebra mussels) in these areas compared to the other sampled bays or the open waters of the Great Lakes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.9557","usgsCitation":"Larson, J.H., Bailey, S., and Evans, M.A., 2022, Biofouling of a unionid mussel by dreissenid mussels in nearshore zones of the Great Lakes: Ecology and Evolution, v. 12, no. 12, e9557, 11 p., https://doi.org/10.1002/ece3.9557.","productDescription":"e9557, 11 p.","ipdsId":"IP-119013","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":445674,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.9557","text":"Publisher Index Page"},{"id":435596,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RL5BU4","text":"USGS data release","linkHelpText":"Biofouling and mussel growth from mussels deployed in Great Lakes embayments (2013-2016)"},{"id":424273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Grand Traverse Bay, Green Bay, Saginaw Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.61003738442467,\n              44.756931452092545\n            ],\n            [\n              -85.52803993650261,\n              44.86389372309026\n            ],\n            [\n              -85.48307359409397,\n              44.976271285175784\n            ],\n            [\n              -85.60210214752885,\n              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maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":891822,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70238783,"text":"70238783 - 2022 - The economic costs of chronic wasting disease in the United States","interactions":[],"lastModifiedDate":"2022-12-12T14:33:23.384233","indexId":"70238783","displayToPublicDate":"2022-12-08T08:29:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The economic costs of chronic wasting disease in the United States","docAbstract":"<p><span>Cervids are economically important to a wide range of stakeholders and rights holders in the United States. The continued expansion of chronic wasting disease (CWD), a fatal neurodegenerative disease affecting wild and farmed cervids, poses a direct and indirect threat to state and federal government agency operations and cervid related economic activity. However, the scale of this disease’s direct economic costs is largely unknown. I synthesized existing publicly available data and stakeholder-provided data to estimate CWD’s costs within the continental United States. Federal government agencies collectively spent over $284.1 million on CWD-related efforts between 2000 and 2021, with $203.6 million of this total being spent by the U.S. Department of Agriculture’s Animal and Plant Health Inspection Service. In fiscal year 2020, state natural resources agencies and state agriculture/animal health agencies spent over $25.5 million and $2.9 million, respectively, on CWD-related work. Natural resources agencies in states with known CWD cases spent over 8 times as much on CWD as agencies from states with no known cases. The farmed cervid industry spent at least $307,950 on CWD sampling in 2020, though a lack of available data prevented a complete assessment of costs to this industry. Based on limited data, CWD’s economic effects on the hunting industry (i.e., outfitters and guides, companies leasing land to cervid hunters), may be negligible at this time. Overall, however, the realized economic costs of CWD appear considerable, and it is likely that the number of stakeholders financially affected by this disease and regulations meant to stem its spread will continue to grow. By understanding the current economic impacts of CWD, we are better positioned to assess the costs and benefits of investments in management and research and to understand the magnitude of this disease’s broader societal impacts.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0278366","usgsCitation":"Chiavacci, S.J., 2022, The economic costs of chronic wasting disease in the United States: PLoS ONE, v. 17, no. 12, e0278366, 18 p., https://doi.org/10.1371/journal.pone.0278366.","productDescription":"e0278366, 18 p.","ipdsId":"IP-139191","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":445688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0278366","text":"Publisher Index Page"},{"id":410277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n 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,{"id":70243300,"text":"70243300 - 2022 - Divergent responses of butterflies and bees to burning and grazing management in tallgrass prairies","interactions":[],"lastModifiedDate":"2023-05-08T11:56:22.736279","indexId":"70243300","displayToPublicDate":"2022-12-04T06:52:10","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":"Divergent responses of butterflies and bees to burning and grazing management in tallgrass prairies","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Butterflies and bees contribute significantly to grassland biodiversity and play important roles as pollinators and herbivores. Grassland conservation and management must be seen through the lens of insect conservation and management if these species are to thrive. In North America, grasslands are a product of climate and natural disturbances such as fire and grazing. These natural disturbances have changed considerably since European colonization and subsequent landscape fragmentation. The aim of this study was to better understand the impacts of fire and grazing management on butterfly and bee communities in tallgrass prairie, enabling land managers and conservationists to better protect and manage remnant prairie. We examined butterfly and bee abundance, species richness, and diversity in Minnesota tallgrass prairies managed by grazing or fire. In 2016 and 2017, we surveyed butterflies, bees, vegetation, and surrounding land use at 20 remnant prairies (10 burned and 10 grazed) with known management histories. Butterfly and bee abundance at our study sites were significantly negatively correlated. Butterfly abundance, but not species richness, was higher in burned than grazed prairies, and prairie-associated grass-feeding butterflies were more abundant at sites with higher plant species richness. Bee abundance was unrelated to management type but was higher at sites with sandier soils; bee species richness was positively associated with forb frequency. These findings highlight the challenges of designing management plans tailored to wide groups of pollinators and the potential pitfalls of using one group of pollinators as indicators for another. They also point to the importance of a mosaic of management practices across the prairie landscape.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.9532","usgsCitation":"Leone, J.B., Pennarola, N.P., Larson, J., Oberhauser, K., and Larson, D., 2022, Divergent responses of butterflies and bees to burning and grazing management in tallgrass prairies: Ecology and Evolution, v. 12, no. 12, e9532, 32 p., https://doi.org/10.1002/ece3.9532.","productDescription":"e9532, 32 p.","ipdsId":"IP-124498","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":445717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.9532","text":"Publisher Index Page"},{"id":416801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": 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Center","active":true,"usgs":true}],"preferred":true,"id":871947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oberhauser, Karen","contributorId":231063,"corporation":false,"usgs":false,"family":"Oberhauser","given":"Karen","affiliations":[{"id":42832,"text":"Univ of Minnesota","active":true,"usgs":false}],"preferred":false,"id":871948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Diane L. 0000-0001-5202-0634","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":260165,"corporation":false,"usgs":true,"family":"Larson","given":"Diane L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":871949,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271307,"text":"70271307 - 2022 - Zinc on the edge—Isotopic and geophysical evidence that cratonic edges control world-class shale-hosted zinc-lead deposits","interactions":[],"lastModifiedDate":"2025-09-08T14:03:52.052483","indexId":"70271307","displayToPublicDate":"2022-12-03T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Zinc on the edge—Isotopic and geophysical evidence that cratonic edges control world-class shale-hosted zinc-lead deposits","docAbstract":"<p><span>The North Australian Zinc Belt is the largest zinc-lead province in the world, containing three of the ten largest known individual deposits (HYC, Hilton-George Fisher, and Mount Isa). The Northern Cordillera in North America is the second largest zinc-lead province, containing a further two of the world’s top ten deposits (Red Dog and Howards Pass). Despite this world-class endowment, exploration in both mineral provinces during the past 2 decades has not been particularly successful, yielding only two significant discoveries (Teena, Australia, and Boundary, Canada). One of the most important aspects of exploration is to choose mineral provinces and districts within geological belts that have the greatest potential for discovery. Here, we present results from these two zinc belts that highlight previously unused datasets for area selection and targeting. Lead isotope mapping using analyses of mineralized material has identified gradients in μ (</span><sup>238</sup><span>U/</span><sup>204</sup><span>Pb) that coincide closely with many major deposits. Locations of these deposits also coincide with a gradient in the depth of the lithosphere-asthenosphere boundary determined from calibrated surface wave tomography models converted to temperature. Furthermore, gradients in upward-continued gravity anomalies and a step in Moho depth correspond to a pre-existing major crustal boundary in both zinc belts. A spatial association of deposits with a linear mid- to lower-crustal resistivity anomaly from magnetotelluric data is also observed in the North Australian Zinc Belt. The change from thicker to thinner lithosphere is interpreted to localize prospective basins for zinc-lead mineralization and to control the gradient in lead isotope and geophysical data. These data, when combined with data indicative of paleoenvironment and changes in plate motion at the time of mineralization, provide new exploration criteria that can be used to identify prospective mineralized basins and define the most favorable parts of these basins.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00126-022-01153-9","usgsCitation":"Huston, D.L., Champion, D.C., Czarnota, K., Duan, J., Hutchens, M., Paradis, S., Hoggard, M., Ware, B., Gibson, G.M., Doublier, M.P., Kelley, K.D., McCafferty, A.E., Hayward, N., Richards, F., Tessalina, S., and Carr, G., 2022, Zinc on the edge—Isotopic and geophysical evidence that cratonic edges control world-class shale-hosted zinc-lead deposits: Mineralium Deposita, v. 58, p. 707-729, https://doi.org/10.1007/s00126-022-01153-9.","productDescription":"23  p.","startPage":"707","endPage":"729","ipdsId":"IP-135613","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495149,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495180,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-022-01153-9","text":"Publisher Index Page"}],"country":"Australia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              134.27421209840645,\n              -14.569058942329349\n            ],\n            [\n              134.27421209840645,\n              -25.53495369611406\n            ],\n            [\n              142.46091725232395,\n              -25.53495369611406\n            ],\n            [\n              142.46091725232395,\n              -14.569058942329349\n            ],\n            [\n              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Canada","active":true,"usgs":false}],"preferred":false,"id":947915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoggard, Mark","contributorId":360917,"corporation":false,"usgs":false,"family":"Hoggard","given":"Mark","affiliations":[],"preferred":false,"id":947916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ware, Bryant","contributorId":360918,"corporation":false,"usgs":false,"family":"Ware","given":"Bryant","affiliations":[],"preferred":false,"id":947917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gibson, George M.","contributorId":360924,"corporation":false,"usgs":false,"family":"Gibson","given":"George","middleInitial":"M.","affiliations":[{"id":27305,"text":"Australia National University","active":true,"usgs":false}],"preferred":false,"id":947926,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Doublier, Michael P.","contributorId":360920,"corporation":false,"usgs":false,"family":"Doublier","given":"Michael","middleInitial":"P.","affiliations":[],"preferred":false,"id":947919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":947920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry 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Graham","contributorId":360923,"corporation":false,"usgs":false,"family":"Carr","given":"Graham","affiliations":[],"preferred":false,"id":947925,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70238684,"text":"70238684 - 2022 - Can we avert an Amazon tipping point? The economic and environmental costs","interactions":[],"lastModifiedDate":"2022-12-05T12:37:03.967845","indexId":"70238684","displayToPublicDate":"2022-12-02T06:32:43","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":"Can we avert an Amazon tipping point? The economic and environmental costs","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>The Amazon biome is being pushed by unsustainable economic drivers towards an ecological tipping point where restoration to its previous state may no longer be possible. This degradation is the result of self-reinforcing interactions between deforestation, climate change and fire. We assess the economic, natural capital and ecosystem services impacts and trade-offs of scenarios representing movement towards an Amazon tipping point and strategies to avert one using the Integrated Economic-Environmental Modeling (IEEM) Platform linked with spatial land use-land cover change and ecosystem services modeling (IEEM + ESM). Our approach provides the first approximation of the economic, natural capital and ecosystem services impacts of a tipping point, and evidence to build the economic case for strategies to avert it. For the five Amazon focal countries, namely, Brazil, Peru, Colombia, Bolivia and Ecuador, we find that a tipping point would create economic losses of US$256.6 billion in cumulative gross domestic product by 2050. Policies that would contribute to averting a tipping point, including strongly reducing deforestation, investing in intensifying agriculture in cleared lands, climate-adapted agriculture and improving fire management, would generate approximately US$339.3 billion in additional wealth and a return on investment of US$29.5 billion. Quantifying the costs, benefits and trade-offs of policies to avert a tipping point in a transparent and replicable manner can support the design of regional development strategies for the Amazon biome, build the business case for action and catalyze global cooperation and financing to enable policy implementation.</p></div>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/aca3b8","usgsCitation":"Banerjee, O., Cicowiez, M., Macedo, M., Malek, Z., Verburg, P.H., Goodwin, S., Vargas, R., Rattis, L., Bagstad, K.J., Brando, P.M., Coe, M.T., Neill, C., Damiani Marti, O., and Avila Murillo, J., 2022, Can we avert an Amazon tipping point? The economic and environmental costs: Environmental Research Letters, v. 17, 125005, 12 p., https://doi.org/10.1088/1748-9326/aca3b8.","productDescription":"125005, 12 p.","ipdsId":"IP-141260","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":445733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aca3b8","text":"Publisher Index Page"},{"id":410044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil, Bolivia, Columbia, Ecuador, Peru","otherGeospatial":"Amazon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.25085123365706,\n              6.9913124337913075\n            ],\n            [\n            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M.","contributorId":167252,"corporation":false,"usgs":false,"family":"Brando","given":"Paulo","email":"","middleInitial":"M.","affiliations":[{"id":24662,"text":"IPAM, Brazil and Stanford Univ.","active":true,"usgs":false}],"preferred":false,"id":858263,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Coe, Michael T. 0000-0002-7470-0697","orcid":"https://orcid.org/0000-0002-7470-0697","contributorId":213453,"corporation":false,"usgs":false,"family":"Coe","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":858265,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Neill, Christopher","contributorId":218247,"corporation":false,"usgs":false,"family":"Neill","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":858266,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Damiani Marti, 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,{"id":70263323,"text":"70263323 - 2022 - Understory structure and heterospecifics influence the occupancy of a ground-nesting species of conservation concern, the Canada Warbler","interactions":[],"lastModifiedDate":"2025-02-06T16:00:27.11247","indexId":"70263323","displayToPublicDate":"2022-12-01T09:54:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Understory structure and heterospecifics influence the occupancy of a ground-nesting species of conservation concern, the Canada Warbler","docAbstract":"<p><span>Forest structure and composition in eastern U.S. forests are changing because of forest regeneration after farmland abandonment, less frequent occurrence of severe disturbances, and climate change. Some of these changes may disproportionally affect birds that rely on gap dynamics or other forest canopy disturbances to create understory habitat. The Canada Warbler (</span><i>Cardellina canadensis</i><span>) is one such understory specialist that has undergone consistent declines. We assessed environmental and interspecific factors associated with Canada Warbler space use in its southern breeding distribution to understand potential causes of population declines and inform conservation efforts. We evaluated Canada Warbler occupancy from 840 point count surveys conducted in 2017 and 2018 at 470 unique locations (79% of locations surveyed in both years) throughout Monongahela National Forest, West Virginia, USA. We modeled Canada Warbler occupancy probability as a function of environmental variables and included Black-throated Blue Warbler (</span><i>Setophaga caerulescens</i><span>) and Hermit Thrush (</span><i>Catharus guttatus</i><span>) as interacting species because all three species exhibit similar habitat preferences. Canada Warblers were most likely to occur in areas with rhododendron (</span><i>Rhododendron maximum</i><span>) density &gt; 0.27 stems/m² and within 3 m of riparian areas (streams and wetlands). They were also more likely to occur in mid-elevation (highest occupancy at 930 m) northern hardwood forests when Black-throated Blue Warblers were also present. Black-throated Blue Warblers were most likely to occupy mid-elevation sites with high shrub density, whereas Hermit Thrushes were more likely to occupy high-elevation, old-age forests. Potential management actions could focus on conserving riparian areas in northern hardwood forests, especially those with dense rhododendron thickets. Such potential actions could also be beneficial across the entire elevation range we explored within the region (500–1300 m). Canada Warblers may be benefiting from the recent spread of rhododendron habitats and northern hardwood forest types within West Virginia.</span></p>","language":"English","publisher":"Resilience Alliance Publications","doi":"10.5751/ace-02079-170120","usgsCitation":"Dimmig, G., Rota, C., Wood, P.B., and Lituma, C., 2022, Understory structure and heterospecifics influence the occupancy of a ground-nesting species of conservation concern, the Canada Warbler: Avian Conservation and Ecology, v. 17, no. 1, 20, 16 p., https://doi.org/10.5751/ace-02079-170120.","productDescription":"20, 16 p.","ipdsId":"IP-123270","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02079-170120","text":"Publisher Index Page"},{"id":481747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United sTates","state":"West Virginia","otherGeospatial":"Monongahela National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.58889045378262,\n              37.463537077379684\n            ],\n            [\n              -80.3485425975682,\n              37.51121532612136\n            ],\n            [\n              -79.62749902892529,\n              38.552413228981266\n            ],\n            [\n              -79.33707870266615,\n              38.442685588318085\n            ],\n            [\n              -78.8463684962287,\n              39.0674460432719\n            ],\n            [\n              -79.48729611280025,\n              39.1995023289459\n            ],\n            [\n              -79.48729611280025,\n              39.455139390658985\n            ],\n            [\n              -79.8978903671664,\n              39.37777230668391\n            ],\n            [\n              -81.23983256436323,\n              37.88364086385796\n            ],\n            [\n              -81.01951369616684,\n              37.54298391685913\n            ],\n            [\n              -80.58889045378262,\n              37.463537077379684\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dimmig, Gordon W.","contributorId":350556,"corporation":false,"usgs":false,"family":"Dimmig","given":"Gordon W.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":926339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rota, Christopher T.","contributorId":350557,"corporation":false,"usgs":false,"family":"Rota","given":"Christopher T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":926340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":926338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lituma, Christopher M.","contributorId":350558,"corporation":false,"usgs":false,"family":"Lituma","given":"Christopher M.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":926341,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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