{"pageNumber":"142","pageRowStart":"3525","pageSize":"25","recordCount":165309,"records":[{"id":70257555,"text":"70257555 - 2024 - Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers","interactions":[],"lastModifiedDate":"2024-09-06T18:18:10.540344","indexId":"70257555","displayToPublicDate":"2024-08-12T11:04:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers","docAbstract":"<p><span>Population genetic analysis of invasive populations can provide valuable insights into the source of introductions, pathways for expansion, and their demographic histories. Flathead catfish (</span><i>Pylodictis olivaris</i><span>) are a prolific invasive species with high fecundity, long-distance dispersal, and piscivorous feeding habits that can lead to declines in native fish populations. In this study, we analyse the genetics of invasive&nbsp;</span><i>P. olivaris</i><span>&nbsp;in the Mid-Atlantic region to assess their connectivity and attempt to reconstruct the history of introduced populations. Based on an assessment across 13 microsatellite loci,&nbsp;</span><i>P. olivaris</i><span>&nbsp;from the Susquehanna River system (</span><i>N</i><span> = 537), Schuylkill River (</span><i>N</i><span> = 33), and Delaware River (</span><i>N</i><span> = 1) have low genetic diversity (global&nbsp;</span><i>H</i><sub>obs</sub><span> = 0.504), although we detected no evidence of substantial inbreeding (</span><i>F</i><sub>IS</sub><span> = −0.083 to 0.022).&nbsp;</span><i>P. olivaris</i><span>&nbsp;from these different river systems were genetically distinct, suggesting separate introductions. However, population structure was much weaker within each river system and exhibited a pattern of high connectivity, with some evidence of isolation by distance.&nbsp;</span><i>P. olivaris</i><span>&nbsp;from the Susquehanna and Schuylkill rivers showed evidence for recent genetic bottlenecks, and demographic models were consistent with historical records, which suggest that populations were established by recent founder events consisting of a small number of individuals. Our results show the risk posed by small introductions of&nbsp;</span><i>P. olivaris</i><span>, which can spread widely once a population is established, and highlight the importance of prevention and sensitive early detection methods to prevent the spread of&nbsp;</span><i>P. olivaris</i><span>&nbsp;in the future.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15888","usgsCitation":"Waraniak, J., Eackles, M., Keagy, J., Smith, G., Schall, M., Stark, S., White, S.L., Kazyak, D.C., and Wagner, T., 2024, Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers: Journal of Fish Biology, 14 p., https://doi.org/10.1111/jfb.15888.","productDescription":"14 p.","ipdsId":"IP-164536","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.15888","text":"Publisher Index Page"},{"id":433579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New Jersey, Pennsylvania","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Waraniak, Justin","contributorId":343350,"corporation":false,"usgs":false,"family":"Waraniak","given":"Justin","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eackles, Michael S.","contributorId":343352,"corporation":false,"usgs":false,"family":"Eackles","given":"Michael S.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":910811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keagy, Jason","contributorId":343355,"corporation":false,"usgs":false,"family":"Keagy","given":"Jason","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Geoffrey D.","contributorId":343358,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey D.","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":910813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schall, Megan","contributorId":343361,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stark, Sydney","contributorId":343364,"corporation":false,"usgs":false,"family":"Stark","given":"Sydney","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910815,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910816,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910817,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910818,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70257446,"text":"70257446 - 2024 - Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum","interactions":[],"lastModifiedDate":"2024-08-16T14:37:01.715279","indexId":"70257446","displayToPublicDate":"2024-08-12T09:30:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5729,"text":"Communications Biology","active":true,"publicationSubtype":{"id":10}},"title":"Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum","docAbstract":"<p><span>The evolutionary histories of adaptive radiations can be marked by dramatic demographic fluctuations. However, the demographic histories of ecologically-linked co-diversifying lineages remain understudied. The Laurentian Great Lakes provide a unique system of two such radiations that are dispersed across depth gradients with a predator-prey relationship. We show that the North American&nbsp;</span><i>Coregonus</i><span>&nbsp;species complex (“ciscoes”) radiated rapidly prior to the Last Glacial Maximum (80–90 kya), a globally warm period, followed by rapid expansion in population size. Similar patterns of demographic expansion were observed in the predator species, Lake Charr (</span><i>Salvelinus namaycush</i><span>), following a brief time lag, which we hypothesize was driven by predator-prey dynamics. Diversification of prey into deep water created ecological opportunities for the predators, facilitating their demographic expansion, which is consistent with an upward adaptive radiation cascade. This study provides a new timeline and environmental context for the origin of the Laurentian Great Lakes fish fauna, and firmly establishes this system as drivers of ecological diversification and rapid speciation through cyclical glaciation.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s42003-024-06503-z","usgsCitation":"Backenstose, N.J., MacGuigan, D.J., Osborne, C.A., Bernal, M.A., Thomas, E.K., Normandeau, E., Yule, D.L., Stott, W., Ackiss, A.S., Albert, V.A., Bernatchez, L., and Krabbenhoft, T.J., 2024, Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum: Communications Biology, v. 7, 978, 10 p., https://doi.org/10.1038/s42003-024-06503-z.","productDescription":"978, 10 p.","ipdsId":"IP-146271","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":439217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Buffalo","active":true,"usgs":false}],"preferred":false,"id":910426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Normandeau, Eric","contributorId":342831,"corporation":false,"usgs":false,"family":"Normandeau","given":"Eric","email":"","affiliations":[{"id":34605,"text":"Universite Laval","active":true,"usgs":false}],"preferred":false,"id":910427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stott, Wendylee 0000-0002-5252-4901","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":242990,"corporation":false,"usgs":false,"family":"Stott","given":"Wendylee","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":910429,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910430,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Albert, Victor A.","contributorId":342834,"corporation":false,"usgs":false,"family":"Albert","given":"Victor","email":"","middleInitial":"A.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":910431,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bernatchez, Louis","contributorId":206583,"corporation":false,"usgs":false,"family":"Bernatchez","given":"Louis","email":"","affiliations":[{"id":37344,"text":"GIROQ","active":true,"usgs":false}],"preferred":false,"id":910432,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krabbenhoft, Trevor J.","contributorId":176498,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Trevor","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":910433,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70269012,"text":"70269012 - 2024 - Resource availability and heterogeneity affect space use and resource selection of a feral ungulate","interactions":[],"lastModifiedDate":"2025-07-14T14:00:14.633286","indexId":"70269012","displayToPublicDate":"2024-08-12T08:56:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Resource availability and heterogeneity affect space use and resource selection of a feral ungulate","docAbstract":"<p><span>Animals adjust their habitat use patterns in response to changes in their physiological needs and environmental conditions. Understanding the mechanisms underlying resource selection and space use across time and space reveals effects of the environment on animals' decisions. We explored the effects of habitat availability and heterogeneity on the seasonal and annual space use and resource selection of two free-roaming feral burro (</span><i>Equus asinus</i><span>) populations in the United States within distinct climate and habitat conditions: the Sonoran Desert and the Colorado Plateau. As an introduced yet protected species in the United States, understanding burros' interactions with habitat elements is important for their conservation and management, as well as the conservation of sympatric wildlife. We used GPS locations of female burros (72 animals across both study areas) to delineate annual and seasonal ranges and resource selection patterns. We evaluated effects of mean and CV of habitat covariates, including forage, distance to water, and topography, representing availability and heterogeneity of resources, on seasonal and annual range size of burros. Moreover, we explored how burro seasonal and annual resource selection patterns were affected by availability and heterogeneity of resources. In the Sonoran Desert study area, burros had smaller seasonal and annual ranges and constant resource selection patterns across a year, likely due to a freshwater lake in the area, making water a nonlimiting resource. Human presence was the greatest factor affecting range size and resource selection in the Sonoran Desert, where burros selected for areas near roads and human recreation. In the Colorado Plateau study area, where resources were more seasonal, we found larger range sizes and fluctuating resource selection patterns compared to the Sonoran Desert population. Spatial variation in forage, water, and topography significantly affected range size of burros inhabiting the Colorado Plateau study area. Productive habitats with available water support smaller ranges and a more consistent pattern of resource selection. Our results highlight the positive effect of habitat heterogeneity and the negative effect of habitat productivity on range size of animals. Our findings contribute to an improved understanding of habitat requirements for free-roaming burros that currently live under various climate and habitat conditions globally.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4939","usgsCitation":"Esmaeili, S., Schoenecker, K., and King, S., 2024, Resource availability and heterogeneity affect space use and resource selection of a feral ungulate: Ecosphere, v. 15, no. 8, e4939, 20 p., https://doi.org/10.1002/ecs2.4939.","productDescription":"e4939, 20 p.","ipdsId":"IP-153427","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492799,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13MFVTY","text":"USGS data release","linkHelpText":"GPS Locations of Free-roaming Burros in Utah and Arizona, USA, 2016 to 2020"},{"id":492484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4939","text":"Publisher Index Page"},{"id":492196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.63118021467946,\n              40.045928302382094\n            ],\n            [\n              -114.22692865710385,\n              40.045928302382094\n            ],\n            [\n              -114.22692865710385,\n              32.61704200752979\n            ],\n            [\n              -109.63118021467946,\n              32.61704200752979\n            ],\n            [\n              -109.63118021467946,\n              40.045928302382094\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Esmaeili, Saeideh","contributorId":357957,"corporation":false,"usgs":false,"family":"Esmaeili","given":"Saeideh","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Sarah","contributorId":357959,"corporation":false,"usgs":false,"family":"King","given":"Sarah","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257571,"text":"70257571 - 2024 - Body mass changes of dabbling and diving ducks wintering in California","interactions":[],"lastModifiedDate":"2024-10-23T16:09:54.735869","indexId":"70257571","displayToPublicDate":"2024-08-12T08:18:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Body mass changes of dabbling and diving ducks wintering in California","docAbstract":"<p><span>Bird body mass is often used as an index of body condition and fluctuates throughout the year in response to environmental conditions and avian life-history events. We examined the body mass of 59,572 ducks representing 13 species (7 dabbling duck species and 6 diving duck species) harvested within the 3 regions of the Central Valley in California, USA (Sacramento Valley, Suisun Marsh, San Joaquin Valley). Data collection occurred in winter during 5 hunting seasons (2014–2015, 2015–2016, 2017–2018, 2018–2019, 2019–2020). For all species, age, and sex classes, the body mass of dabbling ducks varied temporally and was lowest at the end of the hunting season in late January, declining from the beginning of the hunting season in mid-October (northern pintail [</span><i>Anas acuta</i><span>]: −11.4% to −20.4%; northern shoveler [</span><i>Spatula clypeata</i><span>]: −3.5% to −17.3%; cinnamon teal [</span><i>Anas cyanoptera</i><span>]: −5.0% to −17.1%; American wigeon [</span><i>Mareca americana</i><span>]: −6.9% to −12.2%; American green-winged teal [</span><i>Anas carolinensis</i><span>]: −5.9% to −11.9%; mallard [</span><i>Anas platyrhynchos</i><span>]: −1.8% to −9.6%; gadwall [</span><i>Mareca strepera</i><span>]: −2.2% to −8.4%). As expected, adults (after hatch-year) were heavier than immature (hatch-year) birds (within males: 0.6–8.6%; within females: 0.1–6.6%) and males were heavier than females (within adults: 3.1–38.6%; within immatures: 5.4–33.5%) at the end of the hunting season in all species. Within dabbling duck species, body masses did not differ among regions at the beginning of the hunting season but were heavier in the Sacramento Valley (0.5–14.4%) than other areas by the end of the hunting season. In contrast, body masses of diving ducks did not vary substantially during the hunting season or among regions. Diving ducks demonstrated inconsistent changes in mass from the beginning to the end of the season (lesser scaup [</span><i>Aythya affinis</i><span>]: 3.4% to 12.3%; canvasback [</span><i>Aythya valisineria</i><span>]: 5.1% to 6.1%; bufflehead [</span><i>Bucephala albeola</i><span>]: −3.2% to 1.6%; ring-necked duck [</span><i>Aythya collaris</i><span>]: −4.9% to 2.6%; common goldeneye [</span><i>Bucephala clangula</i><span>]: −3.2% to −2.4%; ruddy duck [</span><i>Oxyura jamaicensis</i><span>]: −16.5% to 5.5%). The substantial temporal and spatial differences in dabbling duck body masses suggest that habitat quality (as measured by caloric value of the available food) or quantity may decline during winter and varies regionally within California's Central Valley.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22650","usgsCitation":"Herzog, M.P., Ackerman, J.T., Kohl, J.D., Fettig, B.L., Hartman, C.A., Peterson, S.H., Casazza, M.L., and Fleskes, J.P., 2024, Body mass changes of dabbling and diving ducks wintering in California: Journal of Wildlife Management, v. 88, no. 8, e22650, 44 p.; Data Release, https://doi.org/10.1002/jwmg.22650.","productDescription":"e22650, 44 p.; Data Release","ipdsId":"IP-160170","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439219,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22650","text":"Publisher Index Page"},{"id":434916,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1DE5DWE","text":"USGS data release","linkHelpText":"Body Mass of Dabbling and Diving Ducks Harvested in California"},{"id":433659,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.28563521712458,\n              39.53932856280372\n            ],\n            [\n              -122.14605714076728,\n              38.055035283143305\n            ],\n            [\n              -121.60106551029111,\n              36.66561595429475\n            ],\n            [\n              -119.81149821520499,\n              36.674324107924164\n            ],\n            [\n              -120.11382598668808,\n              39.545986542507165\n            ],\n            [\n              -122.28563521712458,\n              39.53932856280372\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kohl, Jeffrey D. 0000-0003-0921-7460","orcid":"https://orcid.org/0000-0003-0921-7460","contributorId":206562,"corporation":false,"usgs":true,"family":"Kohl","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fettig, Brady Lynn 0000-0002-3124-2606","orcid":"https://orcid.org/0000-0002-3124-2606","contributorId":302106,"corporation":false,"usgs":true,"family":"Fettig","given":"Brady","email":"","middleInitial":"Lynn","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912854,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257169,"text":"70257169 - 2024 - Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions","interactions":[],"lastModifiedDate":"2024-08-13T11:53:07.427511","indexId":"70257169","displayToPublicDate":"2024-08-12T06:49:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">Road networks and their associated vehicular traffic disturb many terrestrial systems, but inventories of roads used to assess these effects often focus on the ‘where’ (e.g., local road type and density) and neglect the ‘when’ (e.g., temporal disturbance) or ‘how much’ (e.g., traffic volume disturbance). We developed annual estimates of the ‘when’ (road age) and ‘how much’ (vehicular traffic volume) across 148,172&nbsp;km of highways, arterials, collectors, local, and gravel/graded roads within the state of Wyoming for the years 1986 to 2020 to provide a comprehensive dataset for future ecological investigations. We leveraged a suite of ancillary data on surface disturbances (e.g., oil &amp; gas drilling operations, wind turbines, and open pit mines) with known establishment dates and combined them using graph theory and centrality metrics to estimate the age of each road. We then predicted traffic volume obtained from the Wyoming Department of Transportation for each year across Wyoming using a machine learning method, XGBoost, and a separate set of spatial covariates hypothesized to explain traffic patterns across large regions. We found that 132,476&nbsp;km of these roads likely existed before 1986, but that 16,693&nbsp;km (10.7&nbsp;%) of roads have been built since 1986. Overall, our estimates of road age were 89&nbsp;% accurate when assessed on a subset of 1,330 roads with high-resolution aerial imagery. Mean absolute error for predicting traffic volume ranged from 35.2 to 77.9 annual average daily traffic (aadt) for trucks and 269.2 to 516.7 aadt for all-vehicles across the 35&nbsp;years. We found that mean traffic volume across the state increased by 23&nbsp;% for both truck-only traffic and all vehicular traffic from 1986 to 2020. However, changes in traffic volume have varied substantially across the state (e.g., 100&nbsp;% increases in volume in some areas, while other areas experienced declines of up to 1,786&nbsp;%). We also illustrate a novel application of these data by predicting rates of reported wildlife-vehicle collisions (WVCs) along a subset of roads. We found evidence of a non-linear relationship that supported a threshold hypothesis for WVCs, wherein increases in traffic volume equate to increases in WVCs up to a threshold, above which increases in traffic volume result in declines in WVCs. The data provided here will enable better-informed studies of road ecology to address how roads may affect wildlife populations and key ecosystems across Wyoming.</p></div></div></div><div id=\"reading-assistant\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112410","usgsCitation":"Inman, R.D., Robb, B.S., O’Donnell, M.S., Edmunds, D.R., Holloran, M.J., and Aldridge, C.L., 2024, Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions: Ecological Indicators, v. 116, 112410, 16 p., https://doi.org/10.1016/j.ecolind.2024.112410.","productDescription":"112410, 16 p.","ipdsId":"IP-160311","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439220,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112410","text":"Publisher Index Page"},{"id":434917,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P137JNBY","text":"USGS data release","linkHelpText":"Wyoming road age and traffic volume estimated with machine learning and graph theory"},{"id":432590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.2956874510852,\n              45.047857996699065\n            ],\n            [\n              -111.2956874510852,\n              40.93586770301263\n            ],\n            [\n              -103.95682026358479,\n              40.93586770301263\n            ],\n            [\n              -103.95682026358479,\n              45.047857996699065\n            ],\n            [\n              -111.2956874510852,\n              45.047857996699065\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robb, Benjamin Seward 0000-0003-1419-3918","orcid":"https://orcid.org/0000-0003-1419-3918","contributorId":328990,"corporation":false,"usgs":true,"family":"Robb","given":"Benjamin","email":"","middleInitial":"Seward","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holloran, Matthew J 0000-0001-5244-770X","orcid":"https://orcid.org/0000-0001-5244-770X","contributorId":254954,"corporation":false,"usgs":false,"family":"Holloran","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":51367,"text":"Operational Conservation LLC","active":true,"usgs":false}],"preferred":false,"id":909651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":909652,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257168,"text":"70257168 - 2024 - Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds","interactions":[],"lastModifiedDate":"2024-10-30T21:45:30.268282","indexId":"70257168","displayToPublicDate":"2024-08-12T06:38:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds","docAbstract":"<p>Quantifying the relative influence of factors and processes controlling riverine ecosystem function is essential to predicting future conditions under global change. Dissolved organic matter (DOM) is a fundamental component of riverine ecosystems that fuels microbial food webs, influences nutrient and light availability, and represents a significant carbon flux globally. The heterogeneous nature of DOM molecular composition and its propensity for interaction (i.e., functional diversity) can characterize riverine ecosystem function across spatiotemporal scales. To investigate fundamental drivers of DOM diversity, we collected seasonal water samples from 42 nested locations within five watersheds spanning multiple watershed sizes (~5 to 30,000 km2) across the United States. Patterns in DOM molecular richness, aromaticity, relative abundance of N-containing formulas, and putative biochemical transformations derived from high-resolution mass spectrometry were assessed across gradients of explanatory variables associated with watershed characteristics (e.g., watershed area, water residence time, land cover). We found that putative biochemical transformations were more strongly related to explanatory variables across watersheds than common bulk DOM parameters and that watershed area, surface water residence time and derived Damköhler numbers representing DOM reactivity timescales were strong predictors of DOM diversity. The data also indicate that catchment-specific land cover factors can significantly influence DOM diversity in diverging directions. Overall, the results highlight the importance of considering water residence time and land cover when interpreting longitudinal patterns in DOM chemistry and the continued challenge of identifying generalizable drivers that are transferable across watershed and regional scales for application in Earth system models. This work also introduces a Findable Accessible Interoperable Reusable (FAIR) dataset (&gt;300 samples) to the community for future syntheses.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-024-01169-5","usgsCitation":"Ryan, K.A., Garayburu-Caruso, V., Crump, B., Bambakidis, T., Raymond, P., Liu, S., and Stegen, J., 2024, Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds: Biogeochemistry, v. 167, p. 1203-1224, https://doi.org/10.1007/s10533-024-01169-5.","productDescription":"22 p.","startPage":"1203","endPage":"1224","ipdsId":"IP-162266","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":439221,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-024-01169-5","text":"Publisher Index Page"},{"id":432589,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Kevin Alexander 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":331030,"corporation":false,"usgs":true,"family":"Ryan","given":"Kevin","email":"","middleInitial":"Alexander","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garayburu-Caruso, Vanessa","contributorId":342100,"corporation":false,"usgs":false,"family":"Garayburu-Caruso","given":"Vanessa","email":"","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":909641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crump, Byron","contributorId":342101,"corporation":false,"usgs":false,"family":"Crump","given":"Byron","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":909642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bambakidis, Ted","contributorId":342102,"corporation":false,"usgs":false,"family":"Bambakidis","given":"Ted","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":909643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Peter","contributorId":342103,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":909644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Shaoda","contributorId":342106,"corporation":false,"usgs":false,"family":"Liu","given":"Shaoda","affiliations":[{"id":81838,"text":"Bejing Normal University","active":true,"usgs":false}],"preferred":false,"id":909645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stegen, James","contributorId":342108,"corporation":false,"usgs":false,"family":"Stegen","given":"James","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":909646,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257452,"text":"70257452 - 2024 - It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed","interactions":[],"lastModifiedDate":"2024-09-23T16:24:43.833305","indexId":"70257452","displayToPublicDate":"2024-08-11T10:30:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed","docAbstract":"<h3 id=\"tafs10471-sec-2001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Many mark–recapture models assume that releases and recaptures are discrete events, and researchers often aggregate continuous recapture data (e.g., passive integrated transponder [PIT] detections) into coarse temporal scales to satisfy this assumption. This temporal discretization could result in parameter biases by ignoring the individual heterogeneity in the time susceptible to mortality after recapture and the conditions experienced (e.g., temperature and predation risk) before and after recapture. Our objectives were to (1) estimate the amount of bias in survival and emigration rates due to different temporal discretization durations when recapture events occur continuously and (2) apply this semicontinuous model to estimate rates of early emigration and overwinter survival for Coho Salmon<span>&nbsp;</span><i>Oncorhynchus kisutch</i><span>&nbsp;</span>in a coastal California watershed.</p><h3 id=\"tafs10471-sec-2002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We developed a semicontinuous time multistate mark–recapture model to separately estimated emigration and survival rates throughout the year. We used weekly time-varying occasions paired with discrete spatial states and conducted extensive simulation trials to explore potential model bias. We then applied the model to an existing 4-year dataset of Coho Salmon PIT tag detections.</p><h3 id=\"tafs10471-sec-2003-title\" class=\"article-section__sub-title section1\">Result</h3><p>Our simulations indicated that that the amount of bias in survival and movement rates decreased as the temporal discretization duration decreased. The confidence interval of the bias estimates included zero with a duration of 8 days, indicating that this duration was sufficiently short to model movement and survival. Results from our Coho Salmon analysis suggest that overwinter survival rate ranged from 0.72 to 0.83, which is higher than previous estimates for Coho Salmon in this region. We estimate that a substantial proportion of smaller juveniles (0.21–0.28 annually) move to downstream nonnatal rearing habitats before the spring smolt migration.</p><h3 id=\"tafs10471-sec-2004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Our semicontinuous modeling approach can be implemented relatively easily and used to analyze continuous detection data to accurately estimate survival and movement rates. Our analysis of Coho Salmon PIT tag detections implies that previous low estimates of apparent overwinter survival of Coho Salmon were partially due to high movement rates to alternative rearing locations. This contrasts with conclusions from the previous research that suggested that overwinter survival was a major limiting factor for population recovery and implies that species recovery may be improved by considering multiple emigration patterns in the design of future research, monitoring, and restoration projects.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10471","usgsCitation":"Van Vleet, N.P., Ward, D., Som, N.A., Barton, D.C., Anderson, C., and Henderson, M., 2024, It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed: Transactions of the American Fisheries Society, v. 153, no. 5, p. 541-558, https://doi.org/10.1002/tafs.10471.","productDescription":"18 p.","startPage":"541","endPage":"558","ipdsId":"IP-155645","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439222,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10471","text":"Publisher Index Page"},{"id":433668,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Freshwater Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.16553732037661,\n              40.822354187176614\n            ],\n            [\n              -124.16553732037661,\n              40.688724809582\n            ],\n            [\n              -123.9770464919041,\n              40.688724809582\n            ],\n            [\n              -123.9770464919041,\n              40.822354187176614\n            ],\n            [\n              -124.16553732037661,\n              40.822354187176614\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"153","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Vleet, Nicholas P.","contributorId":342870,"corporation":false,"usgs":false,"family":"Van Vleet","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":910459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, Darren","contributorId":342871,"corporation":false,"usgs":false,"family":"Ward","given":"Darren","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":910460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":910461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barton, Daniel C.","contributorId":88221,"corporation":false,"usgs":true,"family":"Barton","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":910462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Colin","contributorId":342879,"corporation":false,"usgs":false,"family":"Anderson","given":"Colin","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":910463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":910464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257275,"text":"70257275 - 2024 - A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats","interactions":[],"lastModifiedDate":"2024-09-11T16:23:57.562467","indexId":"70257275","displayToPublicDate":"2024-08-11T07:06:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Biologging is central to the study of wildlife, but questions remain about the minimization of effects of biologging devices. Rarely considered are changes biologging devices induce on an animal's centre of mass (COM) and resulting losses of flight control and stability.</li><li>We applied established aeronautical principles to estimate how the COM of a flying bird or bat may be affected by the typical positioning of a biologging device on the neck, back, hips or tail. We then adopted modified thresholds from aerospace engineering to estimate limits beyond which changes to COM result in fitness-relevant alterations to flight control and stability.</li><li>Generic models illustrate a trade-off between the placement and mass of a biologging device that influences flight control and stability. Seven species-specific examples show the substantial differences in consequences of changes to COM for animals of different sizes and body types. Placement of a device on the tail always resulted in the greatest shift in COM and placement in the centre of the back resulted in the smallest shift. The 5% weight threshold some use for a biologging device provides little room for error in terms of stability and can easily cause dangerous changes to COM. The 3% weight threshold others use causes considerably smaller changes in the COM, but when placed away from the natural COM, still can affect flight control and stability.</li><li>Researchers interested in minimizing the effects to fitness of wildlife should consider weight, balance and COM when affixing biologging devices. The farther a device is from the natural COM, the smaller it should be relative to the mass of the animal.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14400","usgsCitation":"Katzner, T., and Young, G., 2024, A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats: Methods in Ecology and Evolution, v. 15, no. 9, p. 1553-1560, https://doi.org/10.1111/2041-210X.14400.","productDescription":"8 p.","startPage":"1553","endPage":"1560","ipdsId":"IP-162804","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439223,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14400","text":"Publisher Index Page"},{"id":434918,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13SIMMI","text":"USGS data release","linkHelpText":"Expanded dataset of measurements to be used in evaluating consequences for flight control and stability induced by attachment of bio-logging devices to birds and bats"},{"id":432649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, George","contributorId":342227,"corporation":false,"usgs":false,"family":"Young","given":"George","email":"","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":909824,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256592,"text":"70256592 - 2024 - In-situ valve opening response of eastern oysters to estuarine conditions","interactions":[],"lastModifiedDate":"2024-08-23T15:35:31.994064","indexId":"70256592","displayToPublicDate":"2024-08-09T10:23:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"In-situ valve opening response of eastern oysters to estuarine conditions","docAbstract":"<p><span>High-frequency recordings of valve opening behavior (VOB) in bivalves are often used to detect changes in environmental conditions. However, generally a single variable such as temperature or the presence of toxicants in the water is the focus. A description of routine VOB under non-stressful conditions is also important for interpreting responses to environmental changes. Here we present the first detailed quantitative investigation of the in-situ VOB of eastern oysters (</span><i>Crassostrea virginica</i><span>) to environmental variables typically not considered stressful. The VOB of eight individuals was monitored for seven weeks in a Louisiana estuary. We examined the relationships between VOB metrics (variance in mean % max opening among oysters, the probability of an oyster being closed, and the rate of valve closure), and temperature, salinity, chlorophyll-a (chl-a) concentration, the rate of change in those environmental variables, and the rate of change in water depth. Relationships were analyzed through statistical models including rates of change over 0, 0.25, 1-, 6-, 12-, and 24-hours. All the responses were best explained by the 12-hour time step model. The interaction effect between salinity and the rate of change of salinity had the greatest impact on variance in oysters’ behavior. Oysters closed faster at higher salinities and were more likely to be closed at lower chl-a concentrations. Significant interactions were found between many environmental variables, indicating a high level of complexity of oyster behavior in the natural environment. This study contributes to a better understanding of the impact of environmental conditions on oyster behavior and can help inform predictive tools for restoration initiatives and fisheries practices.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00227-024-04488-1","usgsCitation":"Lavaud, R., Archer, S.K., La Peyre, M., Campanino, F.M., Casas, S.M., and La Peyre, J., 2024, In-situ valve opening response of eastern oysters to estuarine conditions: Marine Biology, v. 171, 174, 16 p., https://doi.org/10.1007/s00227-024-04488-1.","productDescription":"174, 16 p.","ipdsId":"IP-159584","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439224,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00227-024-04488-1","text":"Publisher Index Page"},{"id":433102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Cocodrie","otherGeospatial":"Calcasieu Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.34617193921602,\n              30.068407744230996\n            ],\n            [\n              -93.35606344461247,\n              29.94670606331917\n            ],\n            [\n              -93.35045825822144,\n              29.901859839798448\n            ],\n            [\n              -93.44525185159969,\n              29.878295556083188\n            ],\n            [\n              -93.44113039101742,\n              29.8467304098334\n            ],\n            [\n              -93.38639739449258,\n              29.824421454254924\n            ],\n            [\n              -93.33529128328053,\n              29.832717112540085\n            ],\n            [\n 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Consortium","active":true,"usgs":false}],"preferred":false,"id":908184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campanino, Finella M.","contributorId":341283,"corporation":false,"usgs":false,"family":"Campanino","given":"Finella","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casas, Sandra M.","contributorId":341284,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"La Peyre, Jerome F.","contributorId":341285,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome F.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908188,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261584,"text":"70261584 - 2024 - Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","interactions":[{"subject":{"id":70261584,"text":"70261584 - 2024 - Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","indexId":"70261584","publicationYear":"2024","noYear":false,"title":"Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery"},"predicate":"SUPERSEDED_BY","object":{"id":70266894,"text":"ofr20251007 - 2025 - Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","indexId":"ofr20251007","publicationYear":"2025","noYear":false,"title":"Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery"},"id":1}],"supersededBy":{"id":70266894,"text":"ofr20251007 - 2025 - Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","indexId":"ofr20251007","publicationYear":"2025","noYear":false,"title":"Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery"},"lastModifiedDate":"2025-05-20T13:24:14.978891","indexId":"70261584","displayToPublicDate":"2024-08-09T08:50:10","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","docAbstract":"<p><span>Two eelgrass (</span><i>Zostera marina</i><span>) maps of Izembek Lagoon, Alaska, were generated by first creating maps of spectrally unique classes from each of two Sentinel-2 satellite images collected on July 1, 2016, and August 14, 2020, then attributing the spectral classes with information about eelgrass conditions based on field data. Maps depicting various eelgrass metrics, such as percent cover and modeled biomass, were generated using summaries of the ground data that spatially intersected each spectral class. Comparisons between the 2016 and 2020 Sentinel-2 maps of eelgrass distributional extent, as well as a 2006 Landsat map, indicated that areas where eelgrass presence may have declined between 2006 and 2020 were most prevalent in the central part Izembek Lagoon, while areas of possible biomass decline were more prevalent in the southern part between 2016 and 2020. Monitoring eelgrass conditions at Izembek Lagoon with satellite imagery and concurrent ground data provides capabilities for making comparisons over time, but the influences of tide levels, growing season phenology, and spatiotemporal co-registration accuracy should be considered when designing and interpreting change detection analyses.</span></p>","language":"English","publisher":"BioRxiv","doi":"10.1101/2024.08.07.607047","usgsCitation":"Douglas, D.C., Fleming, M., Patil, V.P., and Ward, D.H., 2024, Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery: BioRxiv, https://doi.org/10.1101/2024.08.07.607047.","productDescription":"35 p.","ipdsId":"IP-168423","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466967,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2024.08.07.607047","text":"External Repository"},{"id":465143,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Izembek Lagoon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -162.9274024959248,\n              55.158158818332055\n            ],\n            [\n              -162.84978004715862,\n              55.18903118481694\n            ],\n            [\n              -162.68483234353056,\n              55.32568974463476\n            ],\n            [\n              -162.63354608309427,\n              55.35091614284903\n            ],\n            [\n              -162.5670125555805,\n              55.33988157021267\n            ],\n            [\n              -162.4880039916577,\n              55.3792766436201\n            ],\n            [\n              -162.49632068259703,\n              55.470522299013965\n            ],\n            [\n              -162.5891903980851,\n              55.45166118374158\n            ],\n            [\n              -162.78047428968748,\n              55.384001418091316\n            ],\n            [\n              -162.88304681127136,\n              55.3438228419308\n            ],\n            [\n              -163.03274724817751,\n              55.22383284787324\n            ],\n            [\n              -163.09789466053493,\n              55.170827297352844\n            ],\n            [\n              -162.9274024959248,\n              55.158158818332055\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":921108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Michael D.","contributorId":332620,"corporation":false,"usgs":false,"family":"Fleming","given":"Michael D.","affiliations":[{"id":79518,"text":"Images Unlimited","active":true,"usgs":false}],"preferred":false,"id":921109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":921110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":921111,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70258223,"text":"70258223 - 2024 - The Amazon Basin’s rivers and lakes support Nearctic-breeding shorebirds during southward migration","interactions":[],"lastModifiedDate":"2024-12-27T14:19:13.664651","indexId":"70258223","displayToPublicDate":"2024-08-09T08:40:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"The Amazon Basin’s rivers and lakes support Nearctic-breeding shorebirds during southward migration","docAbstract":"<p><span>Identifying the migration routes and stopover sites used by declining species is critical for developing targeted conservation actions. Long-distance migratory shorebirds are among the groups of birds declining most rapidly, yet we frequently lack detailed knowledge about the routes and stopover sites they use during their hemisphere-spanning migrations. This is especially true for species that migrate through mid-continental regions in the Western Hemisphere. We therefore used satellite transmitters to track 212 individuals of 6 shorebird species during their southward migrations—</span><i>Pluvialis dominica</i><span>&nbsp;(American Golden-Plover),&nbsp;</span><i>Limosa haemastica</i><span>&nbsp;(Hudsonian Godwit),&nbsp;</span><i>Tringa flavipes</i><span>&nbsp;(Lesser Yellowlegs), and&nbsp;</span><i>Calidris subruficollis</i><span>&nbsp;(Buff-breasted Sandpiper),&nbsp;</span><i>C. melanotos</i><span>&nbsp;(Pectoral Sandpiper), and&nbsp;</span><i>Bartramia longicauda</i><span>&nbsp;(Upland Sandpiper)—as they crossed the Amazon Basin of South America, a region from which reports of shorebird numbers are increasing but remain relatively rare. Our results make clear that the Amazon Basin provides stopover habitat for a large number of shorebirds: more than 74% of individuals tracked crossing the Amazon Basin stopped over in the region for an average of 2–14 days, with some spending the entire nonbreeding season there. All species selected stopover sites along the region’s many rivers and lakes, while within stopover sites each species exhibited distinct habitat preferences. The timing of stopovers within sub-basins of the Amazon Basin also coincided with periods of low water, when the muddy, shallow water habitats preferred by most shorebirds are likely plentiful. Together, our results highlight the need for detailed investigations into shorebird abundance and distribution within the Amazon Basin, threats to shorebirds within particular subbasins, and links between shorebird conservation efforts and those targeting the myriad other species that inhabit this dynamic, hyper-diverse region.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duae034","usgsCitation":"Linscott, J.A., Basso, E., Bathrick, R., Bosi de Almeida, J., Anderson, A., Angulo-Pratolongo, F., Ballard, B.M., Bety, J., Brown, S., Christie, K.S., Clements, S.J., Friis, C., Gesmundo, C., Giroux, M., Harrison, A., Harwood, C.M., Hill, J.M., Johnson, J.A., Kempenaers, B., Laliberte, B., Lamarre, J., Lanctot, R., Latty, C., Lecomte, N., McDuffie, L.A., Navedo, J.G., Nol, E., Pohlen, Z.M., Rausch, J., Renfrew, R., Ruiz, J., Russell, M., Ruthrauff, D.R., Saalfeld, S.T., Sandercock, B., Schulte, S., Smith, P.A., Taylor, A.R., Tibbitts, T., Valcu, M., Weegman, M., Wright, J.R., and Senner, N.R., 2024, The Amazon Basin’s rivers and lakes support Nearctic-breeding shorebirds during southward migration: Ornithological Applications, v. 126, no. 4, duae034, 18 p., https://doi.org/10.1093/ornithapp/duae034.","productDescription":"duae034, 18 p.","ipdsId":"IP-162882","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":433608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bolivia, Brazil, Colombia, Ecuador, French Guiana, Guyana, Suriname, Venezuela","otherGeospatial":"Amazon Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.05634569050095,\n              4.057711384610741\n            ],\n            [\n              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Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":912652,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Valcu, Mihai 0000-0002-6907-7802","orcid":"https://orcid.org/0000-0002-6907-7802","contributorId":216254,"corporation":false,"usgs":false,"family":"Valcu","given":"Mihai","email":"","affiliations":[{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":912742,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Weegman, Mitch D.","contributorId":207459,"corporation":false,"usgs":false,"family":"Weegman","given":"Mitch D.","affiliations":[],"preferred":false,"id":912743,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Wright, James R.","contributorId":299052,"corporation":false,"usgs":false,"family":"Wright","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":912744,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Senner, Nathan R.","contributorId":140465,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":912654,"contributorType":{"id":1,"text":"Authors"},"rank":43}]}}
,{"id":70259095,"text":"70259095 - 2024 - Comparison of imaging flow cytometry and microscopy for freshwater algal bloom detection","interactions":[],"lastModifiedDate":"2024-09-27T11:59:37.62189","indexId":"70259095","displayToPublicDate":"2024-08-09T06:54:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of imaging flow cytometry and microscopy for freshwater algal bloom detection","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">Imaging flow cytometry (IFC) is an emerging tool that allows for rapid identification and enumeration of phytoplankton in freshwater systems. However, few studies have assessed the effects of preservation on IFC results or compared live IFC and microscopy results in freshwater systems. Understanding the effects of preservation and differences between IFC and microscopy will improve interpretation of these data and inform strategies to use IFC-based approaches in freshwater systems. Our study objectives were to compare IFC and phase contrast with epifluorescence microscopy as techniques for phytoplankton identification and enumeration, and the effects of sample preservation with an emphasis on taxa forming harmful cyanobacterial blooms (HCBs). During June through October 2020, samples were collected from 2 lakes in the Finger Lakes region of New York. Live and preserved samples were analyzed by laboratory-based IFC, and preserved samples were analyzed by microscopy. The IFC approach captured community dynamics while detecting potential cyanobacterial bloom-forming taxa earlier and at lower abundances than microscopy. Laboratory-based IFC allowed for an intermediate level of taxonomic information when compared to microscopy, gross techniques, such as extracted chlorophyll<span>&nbsp;</span><i>a</i><span>&nbsp;</span>or fluorescence sensors, and field-based operation of IFC approaches. The laboratory-based application of IFC in this study allowed receipt of results in 5 d or less, a substantial improvement over microscopy, which can be time-consuming to conduct. However, the laboratory-based IFC approach had some limitations. Imaging flow cytometry-estimated biovolume may be less accurate than microscopy for some taxa because of the algorithms used to calculate biovolume, particularly for chrysophytes and coccoid cyanobacteria. Colonial dissociation during preservation appeared to affect detection of<span>&nbsp;</span><i>Microcystis</i><span>&nbsp;</span>by IFC less than for other fragile bloom-forming taxa like chrysophytes. Our study results advance understanding of how IFC may translate to field-based approaches for early harmful algal bloom indicators in freshwater.</p></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10402381.2024.2370828","usgsCitation":"Gifford, S.R., St. Amand, A., Graham, J.L., Foster, G.M., Sauve, C., Clark, D., and Schroeder-Larkins, H., 2024, Comparison of imaging flow cytometry and microscopy for freshwater algal bloom detection: Lake and Reservoir Management, v. 40, no. 3, p. 221-235, https://doi.org/10.1080/10402381.2024.2370828.","productDescription":"15 p.","startPage":"221","endPage":"235","ipdsId":"IP-148212","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":466968,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2024.2370828","text":"Publisher Index Page"},{"id":462318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gifford, Sabina R. 0000-0002-0724-4986","orcid":"https://orcid.org/0000-0002-0724-4986","contributorId":310415,"corporation":false,"usgs":true,"family":"Gifford","given":"Sabina","email":"","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St. Amand, A. 0000-0003-2152-771X","orcid":"https://orcid.org/0000-0003-2152-771X","contributorId":334681,"corporation":false,"usgs":false,"family":"St. Amand","given":"A.","affiliations":[{"id":16763,"text":"PhycoTech, Inc.","active":true,"usgs":false}],"preferred":false,"id":914127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Guy M. 0000-0002-9581-057X gfoster@usgs.gov","orcid":"https://orcid.org/0000-0002-9581-057X","contributorId":149145,"corporation":false,"usgs":true,"family":"Foster","given":"Guy","email":"gfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sauve, Cory","contributorId":344552,"corporation":false,"usgs":false,"family":"Sauve","given":"Cory","email":"","affiliations":[{"id":82390,"text":"PhycoTech Inc.","active":true,"usgs":false}],"preferred":false,"id":914130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, Denise","contributorId":344553,"corporation":false,"usgs":false,"family":"Clark","given":"Denise","affiliations":[{"id":82390,"text":"PhycoTech Inc.","active":true,"usgs":false}],"preferred":false,"id":914131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schroeder-Larkins, Hannah","contributorId":344554,"corporation":false,"usgs":false,"family":"Schroeder-Larkins","given":"Hannah","email":"","affiliations":[{"id":82390,"text":"PhycoTech Inc.","active":true,"usgs":false}],"preferred":false,"id":914132,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257041,"text":"fs20233022 - 2024 - Volcanoes of American Samoa","interactions":[],"lastModifiedDate":"2026-01-27T17:36:39.453173","indexId":"fs20233022","displayToPublicDate":"2024-08-08T14:49:02","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3022","displayTitle":"Mauga Mū a Amerika Samoa—Volcanoes of American Samoa","title":"Volcanoes of American Samoa","docAbstract":"<h1>Upu Amata (Introduction)</h1><p>O le Atu-Samoa o le tasi lenei o faʻasologa motu mauga mu i le Vasa Pasefika i Saute. O motu e pito i sasaʻe o nei faʻasologa mauga mu o le Atu-Samoa, o motu ia o Amerika Samoa. E tofu lava mauga mu taʻitasi o Amerika Samoa ma ona talaaga aemaise tulaga e tutupu e ono pa ai i le lumanai. O loʻo galulue faʻatasi le Ofisa o le U.S. Geological Survey (USGS) ma le National Oceanic and Atmospheric Administration Ofisa Vaʻai Tau i Pago Pago e faailoa i tagatanuʻu ma tagata asiasi o tulaga lamatia e ono tutupu. O loʻo faʻapupula atili atu iʻi auala na gaosia ai motu nei faʻapea auala o loʻo fesoasoani ai le vaega e mataʻituina mauga mū e puipui tagata ma mea-totino mai tulaga lamatia o mauga mū.</p><p>American Samoa comprises the easternmost islands of a volcanic island chain in the South Pacific Ocean. Each island of American Samoa has a unique eruptive history and a possibility for future eruptions. The U.S. Geological Survey (USGS) collaborates with the Pago Pago office of the National Oceanic and Atmospheric Administration National Weather Service to inform residents and travelers of potential hazards. Insights are provided herein on how the islands formed and how volcano monitoring helps protect people and property from volcanic hazards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233022","collaboration":"Prepared in collaboration with the National Oceanic and Atmospheric Administration and the National Weather Service","usgsCitation":"Deligne, N.I., Downs, D.T., Lutu-McMoore, E., Sobieszczyk, S., and Stovall, W., 2024, Volcanoes of American Samoa: U.S. Geological Survey Fact Sheet 2023–3022, 6 p., https://doi.org/10.3133/fs20233022.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-149293","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499110,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117165.htm","linkFileType":{"id":5,"text":"html"}},{"id":432365,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3022/fs20233022.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432364,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3022/covrthb.jpg"}],"otherGeospatial":"American Samoa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -171.0463763705247,\n              -14.086896858027984\n            ],\n            [\n              -171.0463763705247,\n              -14.491460518612314\n            ],\n            [\n              -170.44762148771224,\n              -14.491460518612314\n            ],\n            [\n              -170.44762148771224,\n              -14.086896858027984\n            ],\n            [\n              -171.0463763705247,\n              -14.086896858027984\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/volcano-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/volcano-science-center\">Volcano Science Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Introduction</li><li>American Samoa, a volcanic island chain</li><li>Types of volcanic activity in American Samoa</li><li>Eruption at Ofu-Olosega volcano (1866)</li><li>Volcanic unrest at Taʻū volcano (2022)</li><li>Volcano alert levels and aviation color codes</li><li>Stay informed, be prepared</li><li>More information</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-08-08","noUsgsAuthors":false,"publicationDate":"2024-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Deligne, Natalia I. 0000-0001-9221-8581","orcid":"https://orcid.org/0000-0001-9221-8581","contributorId":257389,"corporation":false,"usgs":true,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":909261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":909262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lutu-McMoore, Elinor","contributorId":341954,"corporation":false,"usgs":false,"family":"Lutu-McMoore","given":"Elinor","email":"","affiliations":[{"id":81814,"text":"NOAA National Weather Service Pago Pago Office","active":true,"usgs":false}],"preferred":false,"id":909263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sobieszczyk, Steven 0000-0002-0834-8437","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":205030,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stovall, Wendy K. 0000-0003-2518-2595","orcid":"https://orcid.org/0000-0003-2518-2595","contributorId":214673,"corporation":false,"usgs":true,"family":"Stovall","given":"Wendy K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":909265,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70267201,"text":"70267201 - 2024 - Threshold changes in winter temperature and precipitation drive threshold responses across nine global climate zones and associated biomes","interactions":[],"lastModifiedDate":"2025-05-16T16:11:09.588236","indexId":"70267201","displayToPublicDate":"2024-08-08T09:07:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":808,"text":"Annual Review of Ecology, Evolution, and Systematics","active":true,"publicationSubtype":{"id":10}},"title":"Threshold changes in winter temperature and precipitation drive threshold responses across nine global climate zones and associated biomes","docAbstract":"<p><span>Globally, winter temperatures are rising, and snowpack is shrinking or disappearing entirely. Despite previous research and published literature reviews, it remains unknown whether biomes across the globe will cross important thresholds in winter temperature and precipitation that will lead to significant ecological changes. Here, we combine the widely used Köppen–Geiger climate classification system with worst-case-scenario projected changes in global monthly temperature and precipitation to illustrate how multiple climatic zones across Earth may experience shifting winter conditions by the end of this century. We then examine how these shifts may affect ecosystems within corresponding biomes. Our analysis demonstrates potential widespread losses of extreme cold (&lt;−20°C) in Arctic, boreal, and cool temperate regions. We also show the possible disappearance of freezing temperatures (&lt;0°C) and large decreases in snowfall in warm temperate and dryland areas. We identify important and potentially irreversible ecological changes associated with crossing these winter climate thresholds.</span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-ecolsys-110421-102101","usgsCitation":"Contosta, A., Arndt, K.A., Baulch, H.M., Casson, N.J., Harpold, A., Morelli, T.L., Siren, A., and Templer, P.H., 2024, Threshold changes in winter temperature and precipitation drive threshold responses across nine global climate zones and associated biomes: Annual Review of Ecology, Evolution, and Systematics, v. 55, p. 271-300, https://doi.org/10.1146/annurev-ecolsys-110421-102101.","productDescription":"30 p.","startPage":"271","endPage":"300","ipdsId":"IP-163898","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":490132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-ecolsys-110421-102101","text":"Publisher Index Page"},{"id":486088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Contosta, Alexandra R.","contributorId":355411,"corporation":false,"usgs":false,"family":"Contosta","given":"Alexandra R.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":937252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arndt, Kyle A.","contributorId":243098,"corporation":false,"usgs":false,"family":"Arndt","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":937253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baulch, Helen M.","contributorId":194573,"corporation":false,"usgs":false,"family":"Baulch","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":937254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casson, Nora J.","contributorId":169271,"corporation":false,"usgs":false,"family":"Casson","given":"Nora","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":937255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harpold, Adrian","contributorId":269949,"corporation":false,"usgs":false,"family":"Harpold","given":"Adrian","affiliations":[{"id":56052,"text":"University of Nevada, Reno, Department of Natural Resources and Environmental Science","active":true,"usgs":false}],"preferred":false,"id":937256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":937257,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Siren, Alexej P.K.","contributorId":355399,"corporation":false,"usgs":false,"family":"Siren","given":"Alexej P.K.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":937258,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Templer, Pamela H.","contributorId":167457,"corporation":false,"usgs":false,"family":"Templer","given":"Pamela","email":"","middleInitial":"H.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":937259,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70264349,"text":"70264349 - 2024 - Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging","interactions":[],"lastModifiedDate":"2025-03-12T13:55:43.660255","indexId":"70264349","displayToPublicDate":"2024-08-08T08:50:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging","docAbstract":"<p><span>The geologic framework of the Seattle fault zone (SFZ) has been extensively studied, but the structure and fault strand locations in the central portion of the fault zone through the city of Seattle have remained controversial. Much of what is known about the SFZ has come from light detection and ranging (lidar)‐topographic surveys and paleoseismic investigations of fault scarps primarily west of Puget Sound, regional gravity and aeromagnetic modeling, and multiscale marine seismic imaging in waters both west and east of Seattle. We analyze ∼24&nbsp;km of land‐based&nbsp;</span><i>P</i><span>‐wave seismic‐reflection data that fill in a critical gap in our understanding of the SFZ beneath the urban areas of West Seattle, south‐central Seattle, and Mercer Island. These data image deformed strata in the upper 1&nbsp;km, including upwarped Tertiary rock and younger sediments. Collectively, these data provide evidence for multiple Quaternary‐active thrust faults, back thrusts, and sub‐basins within the SFZ beneath the city of Seattle. The results indicate that multiple and potentially active back thrusts in the upper ∼500&nbsp;m extend across the length of the SFZ and the entire urban corridor that may be analogous to those on Bainbridge Island west of Puget Sound.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230050","usgsCitation":"Stephenson, W.J., Odum, J.K., and Pratt, T.L., 2024, Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging: The Seismic Record, v. 4, no. 3, p. 184-193, https://doi.org/10.1785/0320230050.","productDescription":"10 p.","startPage":"184","endPage":"193","ipdsId":"IP-159620","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":487948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230050","text":"Publisher Index Page"},{"id":483230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.72997503110628,\n              47.62004863663242\n            ],\n            [\n              -122.72997503110628,\n              47.4020813981619\n            ],\n            [\n              -122.11956470840835,\n              47.4020813981619\n            ],\n            [\n              -122.11956470840835,\n              47.62004863663242\n            ],\n            [\n              -122.72997503110628,\n              47.62004863663242\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":930477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Odum, Jack K. 0000-0002-3162-0355","orcid":"https://orcid.org/0000-0002-3162-0355","contributorId":97900,"corporation":false,"usgs":true,"family":"Odum","given":"Jack","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":930478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":930479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257062,"text":"70257062 - 2024 - Dopaminergic and anti-estrogenic responses in juvenile steelhead (Oncorhynchus mykiss) exposed to bifenthrin","interactions":[],"lastModifiedDate":"2024-08-09T11:05:58.442724","indexId":"70257062","displayToPublicDate":"2024-08-08T06:00:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18327,"text":"Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology","active":true,"publicationSubtype":{"id":10}},"title":"Dopaminergic and anti-estrogenic responses in juvenile steelhead (Oncorhynchus mykiss) exposed to bifenthrin","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0015\">The frequency of detection and concentrations of bifenthrin, a pyrethroid insecticide, in the waterways inhabited by the endangered species, steelhead trout (<i>Oncorhynchus mykiss</i>), has become a significant concern for regulatory agencies. Endocrine disruption has been observed with estrogenic and anti-estrogenic responses in fish species at different life stages. Since several studies have indicated alterations in dopaminergic signaling associated with endocrine responses, juvenile steelhead were exposed to environmentally relevant concentrations of 60 or 120&nbsp;ng/L bifenthrin for two weeks. Fish brains were assessed for dopamine levels and the expression of genes involved in dopaminergic and estrogenic processes, such as catechol-<i>o</i>-methyltransferase (<i>comt</i>) and monoamine oxidase (<i>mao</i>). Vitellogenin (<i>vtg</i>) and estrogenic receptors (<i>ERα1</i>,<span>&nbsp;</span><i>ERβ1</i>, and<span>&nbsp;</span><i>ERβ2</i>) were also evaluated in livers of the animals. Dopamine concentrations were significantly higher in fish brains following bifenthrin exposure. Consistent with a reduction in dopamine clearance, there was a significant decrease in the mRNA expression of<span>&nbsp;</span><i>comt</i><span>&nbsp;</span>with increased bifenthrin concentration. Hepatic expression of<span>&nbsp;</span><i>ERα1</i><span>&nbsp;</span>and<span>&nbsp;</span><i>ERβ2</i><span>&nbsp;</span>mRNA was significantly decreased with increased bifenthrin concentration. These data support the possible mechanism of bifenthrin altering the dopaminergic pathway at low ng/L concentrations, in juvenile steelhead, which could interfere with endocrine feedback loops. These findings support the need for and importance of identifying species and life stage differences in pesticide modes of action to reduce uncertainties in risk assessments.</p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cbpc.2024.109995","usgsCitation":"Magnuson, J.T., Sy, N.D., Tanabe, P., Ji, C., Gan, J., and Schlenk, D., 2024, Dopaminergic and anti-estrogenic responses in juvenile steelhead (Oncorhynchus mykiss) exposed to bifenthrin: Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, v. 285, 109995, 6 p., https://doi.org/10.1016/j.cbpc.2024.109995.","productDescription":"109995, 6 p.","ipdsId":"IP-162473","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":439225,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cbpc.2024.109995","text":"Publisher Index Page"},{"id":432415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"285","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":909306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sy, Nathan D.","contributorId":341968,"corporation":false,"usgs":false,"family":"Sy","given":"Nathan","email":"","middleInitial":"D.","affiliations":[{"id":64621,"text":"University of California-Riverside","active":true,"usgs":false}],"preferred":false,"id":909307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanabe, Philip","contributorId":333579,"corporation":false,"usgs":false,"family":"Tanabe","given":"Philip","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":909308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ji, Chenyang","contributorId":341969,"corporation":false,"usgs":false,"family":"Ji","given":"Chenyang","email":"","affiliations":[{"id":64621,"text":"University of California-Riverside","active":true,"usgs":false}],"preferred":false,"id":909309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gan, Jay","contributorId":341971,"corporation":false,"usgs":false,"family":"Gan","given":"Jay","email":"","affiliations":[{"id":64621,"text":"University of California-Riverside","active":true,"usgs":false}],"preferred":false,"id":909310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":909311,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256920,"text":"ofr20241033 - 2024 - A literature review and hypsometric analysis to support decisions on trout management flows on the Colorado River downstream from Glen Canyon Dam","interactions":[],"lastModifiedDate":"2024-08-07T23:06:30.701527","indexId":"ofr20241033","displayToPublicDate":"2024-08-07T10:46:04","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1033","displayTitle":"A Literature Review and Hypsometric Analysis to Support Decisions on Trout Management Flows on the Colorado River Downstream from Glen Canyon Dam","title":"A literature review and hypsometric analysis to support decisions on trout management flows on the Colorado River downstream from Glen Canyon Dam","docAbstract":"<h1>Executive Summary</h1><p>Fish stranding has been studied in select rivers worldwide, often with the purpose of determining how to mitigate adverse effects of dam operations on highly valued salmon and trout populations. However, where a reduction in trout population size is desired by resource managers, as is the case downstream of the Glen Canyon Dam on the Colorado River, flow manipulations termed trout management flows (TMFs) may be used to optimize fish stranding and mortality. To inform the design and implementation of potential future TMFs, we reviewed relevant literature to identify key factors that influence fish stranding. We found that key factors were highly interdependent and site-specific, but general trends suggest that down-ramping (decreasing flow) at rapid rates in daytime during the late spring to summer emergence period would lead to stranding of age-0 rainbow trout in shallow shoreline habitat. A hypsometric analysis was then used to predict stranding risk for age-0 rainbow trout in Glen Canyon for a range of TMFs, which incorporated existing bathymetric data and flow and habitat suitability models. Our results indicate that a TMF with a steady high flow ranging from 12,000 to 16,000 cubic feet per second (ft<sup>3</sup>/s) combined with a minimum flow ranging from 3,000 to 5,000 ft<sup>3</sup>/s may effectively strand age-0 fish while also minimizing risk to water storage in Lake Powell and other resources. This strategy implemented under normal hydropeaking operations was predicted to lead to a substantive stranding risk when paired with low flows of 5,000 ft<sup>3</sup>/s, and especially 3,000 ft<sup>3</sup>/s. However, there remains uncertainty associated with elements of implementing an effective TMF downstream from Glen Canyon Dam. The main uncertainties include (1) the down-ramp rate that maximizes stranding of age-0 trout, (2) the duration of drawdown to maximize stranding mortality while minimizing impact to downstream resources, (3) duration of high flows required for age-0 fish to colonize newly created shoreline habitat (this is only for certain TMF hydrographs), (4) number of repetitions of TMF cycles to minimize compensatory survival response, and (5) recruitment threshold of both rainbow and brown trout populations to trigger TMF implementation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241033","collaboration":"Prepared in cooperation with Ecometric Research Inc.","usgsCitation":"Giardina, M., Korman, J., Yard, M.D., Wright, S., Kaplinski, M., and Bennett, G., 2024, A literature review and hypsometric analysis to support decisions on trout management flows on the Colorado River downstream from Glen Canyon Dam: U.S. Geological Survey Open-File Report 2024–1033, 50 p., https://doi.org/10.3133/ofr20241033.","productDescription":"Report: viii, 50 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-133316","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":432181,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241033/full"},{"id":432178,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L1XEZO","text":"USGS Data Release","description":"Korman, J., Giardina, M.A., Yard, M.D., Wright, S.A., Kaplinski, M., and Bennett, G., 2024, Colorado River milage system and ancillary attribute data for connecting to hydrodynamic model output in Glen Canyon, AZ: U.S. Geological Survey data release, https://doi.org/10.5066/P9L1XEZO.","linkHelpText":"Colorado River milage system and ancillary attribute data for connecting to hydrodynamic model output in Glen Canyon, AZ"},{"id":432177,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1033/ofr20241033.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432179,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1033/ofr20241033.xml"},{"id":432180,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1033/images"},{"id":432176,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1033/covrthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.636412112225,\n              36.82347668968964\n            ],\n            [\n              -111.44233548505323,\n              36.82347668968964\n            ],\n            [\n              -111.44233548505323,\n              36.96315377672772\n            ],\n            [\n              -111.636412112225,\n              36.96315377672772\n            ],\n            [\n              -111.636412112225,\n              36.82347668968964\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Introduction</li><li>Literature Review</li><li>Hypsometric Analysis</li><li>Trout Management Flows Implementation and Considerations</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-08-07","noUsgsAuthors":false,"publicationDate":"2024-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Giardina, Mariah","contributorId":341843,"corporation":false,"usgs":true,"family":"Giardina","given":"Mariah","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":909003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":169281,"corporation":false,"usgs":true,"family":"Yard","given":"Michael","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaplinski, Matthew A. 0000-0001-6232-8325","orcid":"https://orcid.org/0000-0001-6232-8325","contributorId":333646,"corporation":false,"usgs":true,"family":"Kaplinski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, Glenn gbennett@usgs.gov","contributorId":292564,"corporation":false,"usgs":false,"family":"Bennett","given":"Glenn","email":"gbennett@usgs.gov","affiliations":[],"preferred":true,"id":909007,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257109,"text":"70257109 - 2024 - Assessing the risk of climate maladaptation for Canadian polar bears","interactions":[],"lastModifiedDate":"2024-08-09T15:32:51.111732","indexId":"70257109","displayToPublicDate":"2024-08-07T09:19:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the risk of climate maladaptation for Canadian polar bears","docAbstract":"<p><span>The Arctic is warming four times faster than the rest of the world, threatening the persistence of many Arctic species. It is uncertain if Arctic wildlife will have sufficient time to adapt to such rapidly warming environments. We used genetic forecasting to measure the risk of maladaptation to warming temperatures and sea ice loss in polar bears (</span><i>Ursus maritimus</i><span>) sampled across the Canadian Arctic. We found evidence for local adaptation to sea ice conditions and temperature. Forecasting of genome-environment mismatches for predicted climate scenarios suggested that polar bears in the Canadian high Arctic had the greatest risk of becoming maladapted to climate warming. While Canadian high Arctic bears may be the most likely to become maladapted, all polar bears face potentially negative outcomes to climate change. Given the importance of the sea ice habitat to polar bears, we expect that maladaptation to future warming is already widespread across Canada.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.14486","usgsCitation":"Rivkin, L.R., Richardson, E., Miller, J.D., Atwood, T.C., Baryluk, S., Born, E.W., Davis, C., Dyck, M., de Greef, E., Laidre, K.L., Lunn, N., McCarthy-Neumann, S., Obbard, M.E., Owen, M.A., Pilfold, N., Roberto-Charro, A., Wiig, O., Wilder, A., and Garroway, C., 2024, Assessing the risk of climate maladaptation for Canadian polar bears: Ecology Letters, v. 27, no. 8, e14486, 12 p., https://doi.org/10.1111/ele.14486.","productDescription":"e14486, 12 p.","ipdsId":"IP-161512","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439226,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.14486","text":"Publisher Index Page"},{"id":432443,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -146.10087704851642,\n              70.29891199784112\n            ],\n            [\n              -145.9619431732809,\n              67.68484265716987\n            ],\n            [\n              -80.58830225082843,\n              50.78569841585616\n            ],\n            [\n              -57.738527856271816,\n              49.8939749619428\n            ],\n            [\n              -32.269899477418875,\n              83.56677160868358\n            ],\n            [\n              -95.17610629927108,\n              80.76625534866342\n            ],\n            [\n              -146.10087704851642,\n              70.29891199784112\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"27","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Rivkin, L. 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,{"id":70257100,"text":"70257100 - 2024 - Role of tributary cyanobacterial and nutrient transport and sediment processes on cyanobacterial bloom initiation in Lake Superior nearshore","interactions":[],"lastModifiedDate":"2025-01-27T16:25:43.673149","indexId":"70257100","displayToPublicDate":"2024-08-07T08:36:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Role of tributary cyanobacterial and nutrient transport and sediment processes on cyanobacterial bloom initiation in Lake Superior nearshore","docAbstract":"<p><span>Watershed fluxes of suspended sediment (SS), nutrients, in particular phosphorus (P), and cyanobacteria may play a role in driving cyanobacterial blooms along the southwestern shore of oligotrophic Lake Superior. To understand how tributary loads contribute to nearshore blooms, we sampled two southwestern shore tributaries, Bois Brule and Siskiwit Rivers. We collected water-quality samples to compute nutrient and sediment loads and to assess cyanobacteria community composition from the tributaries to the nearshore. We collected suspended and streambed sediment to assess the capacity for sediment to store and transport bioavailable P and to assess cyanobacteria community composition. Storm flows drove export of SS, total P, and total nitrogen, with the majority of total P being particulate P. Equilibrium P concentrations revealed that SS sorbed P as it is moved through the stream network across sites and seasons and was a potential source of P to the nearshore. However, streambed sediment in the Bois Brule and Siskiwit River watersheds were P sinks during summer, which potentially delayed transport of dissolved P to the lake. The cyanobacteria community varied spatially and temporally relating to multiple environmental variables including nutrients (P, N, and C) and specific conductivity. Cyanobacteria capable of producing cyanotoxins were present in tributaries and found across multiple environmental compartments indicating a potential for fluvial flow to the nearshore. This study demonstrated that streamflow is a primary driver of total nutrient and sediment loading in both watersheds, which indicates the potential for algal loading to the nearshore via suspended sediment or water.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102409","usgsCitation":"Kreiling, R.M., Givens, C.E., Baker, A., Kiesling, R.L., Dantoin, E.D., Perner, P.M., Sterner, S.P., Gierke, K., and Reneau, P., 2024, Role of tributary cyanobacterial and nutrient transport and sediment processes on cyanobacterial bloom initiation in Lake Superior nearshore: Journal of Great Lakes Research, v. 51, no. 1, 102409, 16 p., https://doi.org/10.1016/j.jglr.2024.102409.","productDescription":"102409, 16 p.","ipdsId":"IP-163435","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences 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,{"id":70257517,"text":"70257517 - 2024 - Asymmetric mate preference and reproductive interference mediate climate-induced changes in mate availability in a small mammal hybrid zone","interactions":[],"lastModifiedDate":"2024-09-09T15:50:42.511689","indexId":"70257517","displayToPublicDate":"2024-08-07T08:36:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1598,"text":"Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Asymmetric mate preference and reproductive interference mediate climate-induced changes in mate availability in a small mammal hybrid zone","docAbstract":"<p>Range expansion and contraction are among the most common biotic responses to changing environmental conditions, yet much is to be learned about the mechanisms that underlie range-edge population dynamics, especially when those areas are points of secondary contact between closely related species. Here, we present field-measured parentage data that document the reproductive outcomes of changes in mate availability at a secondary contact zone between two species of woodrat in the genus <i>Neotoma</i>. Changes in mate availability resulted from drought-driven differential survival between the species and their hybrids. As the availability of conspecifc mates declined, rates of hybridization increased, leading to the accumulation of admixed individuals in the zone of contact. Patterns of reproductive success in the wild appear to be the result of a combination of both pre-mating isolation and post-zygotic selection resulting from genomic incompatibilities between the parental lineages. Evidence of asymmetric mate preference between the parental lineages came from both skewed reproductive output in the field and laboratory preference trials. Moreover, partial genomic incompatibility was evident from the near-zero reproductive success of F1 males and because nearly all surviving hybrids had one pure parent. Nonetheless, the high reproductive success of F1 females and backcrossing in both parental directions allow for introgression between the parental species. These findings reveal how climate change may alter evolutionary outcomes for species at the edge of their ranges through an interplay of behavioral, demographic, and genetic mechanisms.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/evolut/qpae110","usgsCitation":"Matocq, M.D., Hunter, E.A., Murphy, P.J., Adkins, C.L., and Shoemaker, K.T., 2024, Asymmetric mate preference and reproductive interference mediate climate-induced changes in mate availability in a small mammal hybrid zone: Evolution, qpae110, 13 p., https://doi.org/10.1093/evolut/qpae110.","productDescription":"qpae110, 13 p.","ipdsId":"IP-145596","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498268,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/evolut/qpae110","text":"Publisher Index Page"},{"id":433627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Camp Roberts Military reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.79598611853271,\n              35.785590501974994\n            ],\n            [\n              -120.79598611853271,\n              35.758103908925094\n            ],\n            [\n              -120.7544854283608,\n              35.758103908925094\n            ],\n            [\n              -120.7544854283608,\n              35.785590501974994\n            ],\n            [\n              -120.79598611853271,\n              35.785590501974994\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Matocq, Marjorie D.","contributorId":343055,"corporation":false,"usgs":false,"family":"Matocq","given":"Marjorie","email":"","middleInitial":"D.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":910597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Peter J.","contributorId":343058,"corporation":false,"usgs":false,"family":"Murphy","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":910599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adkins, Casey L.","contributorId":344062,"corporation":false,"usgs":false,"family":"Adkins","given":"Casey","email":"","middleInitial":"L.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":912758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shoemaker, Kevin T.","contributorId":343060,"corporation":false,"usgs":false,"family":"Shoemaker","given":"Kevin","email":"","middleInitial":"T.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":910600,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270165,"text":"70270165 - 2024 - The 2023 Alaska National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2025-08-12T14:54:28.804879","indexId":"70270165","displayToPublicDate":"2024-08-07T07:48:05","publicationYear":"2024","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":"The 2023 Alaska National Seismic Hazard Model","docAbstract":"<p><span>US Geological Survey (USGS) National Seismic Hazard Models (NSHMs) are used extensively for seismic design regulations in the United States and earthquake scenario development, as well as risk assessment and mitigation for both buildings and infrastructure. This 2023 update of the long-term, time-independent Alaska NSHM includes substantial changes to both the earthquake rupture forecast (ERF) and ground motion models (GMMs). The ERF includes numerous additions to the finite-fault model, considers two deformation models, and introduces updated declustering and smoothing algorithms in the gridded background seismicity model. For the Alaska–Aleutian subduction zone, megathrust earthquakes occur on an updated structural and segmentation model, and the moment magnitude (M) 8+ rupture and rate model include a logic tree branch that considers slip rates derived from geodetic models of interface coupling. The megathrust model considers multiple models of down-dip width, and magnitudes are computed using newly developed scaling relations. For subduction intraslab events and subduction interface events with M &lt; 7, the 2023 update uses a smoothed seismicity model with rupture depths derived from Slab2. The 2023 model updates GMMs in all tectonic settings using the recently published Next Generation Attenuation Subduction (NGA-Sub) GMMs for subduction interface and intraslab events, and the NGA-West2 GMMs for active crustal settings. Collectively, additions and updates to the Alaska NSHM result in hazard increases across most of south-central Alaska relative to the previous model, published in 2007. These changes are primarily due to the adoption of updated rate models for the large-magnitude interface events and the NGA-Sub GMMs that have much higher aleatory variability (sigma), consistent with global observations, and that include models of epistemic uncertainty.</span></p>","language":"English","publisher":"SAGE Publications","doi":"10.1177/87552930241266741","usgsCitation":"Powers, P.M., Altekruse, J.M., Llenos, A.L., Michael, A.J., Haynie, K.L., Haeussler, P., Bender, A., Rezaeian, S., Moschetti, M.P., Smith, J.A., Briggs, R.W., Witter, R.C., Mueller, C., Zeng, Y., Girot, D.L., Herrick, J.A., Shumway, A., and Petersen, M.D., 2024, The 2023 Alaska National Seismic Hazard Model: Earthquake Spectra, v. 40, no. 4, p. 2545-2597, https://doi.org/10.1177/87552930241266741.","productDescription":"53 p.","startPage":"2545","endPage":"2597","ipdsId":"IP-155656","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / 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Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Altekruse, Jason M. 0000-0002-8798-9514","orcid":"https://orcid.org/0000-0002-8798-9514","contributorId":291308,"corporation":false,"usgs":true,"family":"Altekruse","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 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0000-0001-7469-1957","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":219952,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":945611,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945612,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945613,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, James Andrew 0000-0002-5565-9254 jimsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-9254","contributorId":332933,"corporation":false,"usgs":true,"family":"Smith","given":"James","email":"jimsmith@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":945614,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":945615,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":219962,"corporation":false,"usgs":true,"family":"Witter","given":"Robert","email":"rwitter@usgs.gov","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":945616,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mueller, Charles 0000-0002-1868-9710 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0000-0002-4954-1858","orcid":"https://orcid.org/0000-0002-4954-1858","contributorId":332931,"corporation":false,"usgs":true,"family":"Girot","given":"Demi","email":"","middleInitial":"Leafar","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":945619,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Herrick, Julie A. 0000-0003-0682-760X","orcid":"https://orcid.org/0000-0003-0682-760X","contributorId":243649,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":true,"id":945620,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945621,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945622,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70258105,"text":"70258105 - 2024 - Unforeseen plant phenotypic diversity in a dry and grazed world","interactions":[],"lastModifiedDate":"2024-09-04T12:15:26.144456","indexId":"70258105","displayToPublicDate":"2024-08-07T07:11:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Unforeseen plant phenotypic diversity in a dry and grazed world","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Earth harbours an extraordinary plant phenotypic diversity<sup><a id=\"ref-link-section-d95710910e3925\" title=\"Díaz, S. et al. The global spectrum of plant form and function. Nature 529, 167–171 (2016).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR1\">1</a></sup><span>&nbsp;</span>that is at risk from ongoing global changes<sup><a id=\"ref-link-section-d95710910e3929\" title=\"IPBES. Summary for policymakers of the Global Assessment Report on Biodiversity and Ecosystem Services. Zenodo \n                  https://doi.org/10.5281/zenodo.3553579\n                  \n                 (2019).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR2\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 2\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR2\">2</a>,<a id=\"ref-link-section-d95710910e3932\" title=\"Carmona, C. P. et al. Erosion of global functional diversity across the tree of life. Sci. Adv. 7, eabf2675 (2021).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR3\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 3\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR3\">3</a></sup>. However, it remains unknown how increasing aridity and livestock grazing pressure—two major drivers of global change<sup><a id=\"ref-link-section-d95710910e3936\" title=\"Shukla, P. R. et al. eds. Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems (IPCC, 2019).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR4\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR4\">4</a>,<a id=\"ref-link-section-d95710910e3936_1\" title=\"Berdugo, M. et al. Global ecosystem thresholds driven by aridity. Science 367, 787–790 (2020).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR5\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR5\">5</a>,<a id=\"ref-link-section-d95710910e3939\" title=\"Maestre, F. T. et al. Grazing and ecosystem service delivery in global drylands. Science 378, 915–920 (2022).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR6\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 6\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR6\">6</a></sup>—shape the trait covariation that underlies plant phenotypic diversity<sup><a id=\"ref-link-section-d95710910e3943\" title=\"Díaz, S. et al. The global spectrum of plant form and function. Nature 529, 167–171 (2016).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR1\">1</a>,<a id=\"ref-link-section-d95710910e3946\" title=\"Joswig, J. S. et al. Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation. Nat. Ecol. Evol. 6, 36–50 (2022).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR7\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 7\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR7\">7</a></sup>. Here we assessed how covariation among 20 chemical and morphological traits responds to aridity and grazing pressure within global drylands. Our analysis involved 133,769 trait measurements spanning 1,347 observations of 301 perennial plant species surveyed across 326 plots from 6 continents. Crossing an aridity threshold of approximately 0.7 (close to the transition between semi-arid and arid zones) led to an unexpected 88% increase in trait diversity. This threshold appeared in the presence of grazers, and moved toward lower aridity levels with increasing grazing pressure. Moreover, 57% of observed trait diversity occurred only in the most arid and grazed drylands, highlighting the phenotypic uniqueness of these extreme environments. Our work indicates that drylands act as a global reservoir of plant phenotypic diversity and challenge the pervasive view that harsh environmental conditions reduce plant trait diversity<sup><a id=\"ref-link-section-d95710910e3950\" title=\"Keddy, P. A. Assembly and response rules: two goals for predictive community ecology. J. Veg. Sci. 3, 157–164 (1992).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR8\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR8\">8</a>,<a id=\"ref-link-section-d95710910e3950_1\" title=\"Kraft, N. J. B. et al. Community assembly, coexistence and the environmental filtering metaphor. Funct. Ecol. 29, 592–599 (2015).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR9\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR9\">9</a>,<a id=\"ref-link-section-d95710910e3953\" title=\"Enquist, B. J. et al. in Advances in Ecological Research, Vol. 52 (eds Pawar, S., Woodward, G. &amp; Dell, A. I.) 249–318 (Elsevier, 2015).\" href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR10\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 10\" data-mce-href=\"https://www.nature.com/articles/s41586-024-07731-3#ref-CR10\">10</a></sup>. They also highlight that many alternative strategies may enable plants to cope with increases in environmental stress induced by climate change and land-use intensification.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41586-024-07731-3","usgsCitation":"Gross, N., Maestre, F.T., Liancourt, P., Berdugo, M., Martin, R., Gozalo, B., Ochoa, V., Delgado-Baquerizo, M., Maire, V., Saiz, H., Soliveres, S., Valencia, E., Eldridge, D.J., Guirado, E., Jabot, F., Asensio, S., Gaitan, J.J., García-Gómez, M., Martinez, P., Martinez-Valderrama, J., Mendoza, B.J., Moreno-Jimenez, E., Pescador, D.S., Plaza, C., Pijuan, I.S., Abedi, M., Ahumada, R.J., Amghar, F., Arroyo, A.I., Bahalkeh, K., Bailey, L., Salem, F.B., Blaum, N., Boldgiv, B., Bowker, M., Branquinho, C., van den Brink, L., Bu, C., Canessa, R., Castillo-Monroy, A.D., Castro, H., Castro-Quezada, P., Chibani, R., Conceicao, A.A., Darrouzet-Nardi, A., Davila, Y.C., Deak, B., Donoso, D.A., Duran, J., Espinosa, C., Fajardo, A., Farzam, M., Ferrante, D., Franzese, J., Fraser, L.H., Gonzalez, S.L., Gusman-Montalvan, E., Hernandez-Hernandez, R.M., Holzel, N., Huber-Sannwald, E., Jadan, O., Jeltsch, F., Jentsch, A., Ju, M., Kaseke, K.F., Kindermann, L., le Roux, P.C., Linstadter, A., Louw, M.A., Mabaso, M., Maggs-Kolling, G., Makhalanyane, T.P., Issa, O.M., Manzaneda, A.J., Marais, E., Margerie, P., Hughes, F.M., Messeder, J.V., Mora, J.P., Moreno, G., Munson, S.M., Nunes, A., Oliva, G., Onatibia, G.R., Peter, G., Pueyo, Y., Quiroga, R., Ramirez-Iglesias, E., Reed, S., Rey, P.J., Gómez, V., Rodriguez, A., Rolo, V., Rubalcaba, J.G., Ruppert, J., Sala, O.E., Salah, A., Sebei, P.J., Stavi, I., Stephens, C., Teixido, A.L., Thomas, A.D., Throop, H.L., Tielborger, K., Travers, S.K., Undrakhbold, S., Val, J., Valko, O., Velbert, F., Wamiti, W., Wang, L., Wang, D., Wardle, G., Wolff, P., Yahdjian, L., Yari, R., Zaady, E., Zeberio, J.M., Zhang, Y., Zhou, X., and Bagousse-Pinguet, Y.L., 2024, Unforeseen plant phenotypic diversity in a dry and grazed world: Nature, v. 632, p. 808-814, https://doi.org/10.1038/s41586-024-07731-3.","productDescription":"7 p.","startPage":"808","endPage":"814","ipdsId":"IP-158748","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497365,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41586-024-07731-3>","text":"External Repository"},{"id":433439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"632","noUsgsAuthors":false,"publicationDate":"2024-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Gross, Nicholas","contributorId":343841,"corporation":false,"usgs":false,"family":"Gross","given":"Nicholas","email":"","affiliations":[{"id":82204,"text":"Université Clermont Auvergne, INRAE, VetAgro Sup, Unité Mixte de Recherche Ecosystème  Prairial; 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Box 40658-00100, Nairobi, Kenya","active":true,"usgs":false}],"preferred":false,"id":912204,"contributorType":{"id":1,"text":"Authors"},"rank":110},{"text":"Wang, Lixin","contributorId":300466,"corporation":false,"usgs":false,"family":"Wang","given":"Lixin","affiliations":[{"id":65165,"text":"Department of Earth Sciences, Indiana University–Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.","active":true,"usgs":false}],"preferred":false,"id":912205,"contributorType":{"id":1,"text":"Authors"},"rank":111},{"text":"Wang, Deli","contributorId":214265,"corporation":false,"usgs":false,"family":"Wang","given":"Deli","email":"","affiliations":[{"id":39004,"text":"Northeast Normal University","active":true,"usgs":false}],"preferred":false,"id":912206,"contributorType":{"id":1,"text":"Authors"},"rank":112},{"text":"Wardle, Glenda M.","contributorId":300467,"corporation":false,"usgs":false,"family":"Wardle","given":"Glenda M.","affiliations":[{"id":65131,"text":"Desert Ecology Research Group, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.","active":true,"usgs":false}],"preferred":false,"id":912207,"contributorType":{"id":1,"text":"Authors"},"rank":113},{"text":"Wolff, Peter","contributorId":343862,"corporation":false,"usgs":false,"family":"Wolff","given":"Peter","email":"","affiliations":[{"id":82226,"text":"Department of Disturbance Ecology, Bayreuth Center of Ecology and Environmental Research BayCEER, University of Bayreuth, Bayreuth, Germany","active":true,"usgs":false}],"preferred":false,"id":912208,"contributorType":{"id":1,"text":"Authors"},"rank":114},{"text":"Yahdjian, Laura","contributorId":187584,"corporation":false,"usgs":false,"family":"Yahdjian","given":"Laura","email":"","affiliations":[],"preferred":false,"id":912209,"contributorType":{"id":1,"text":"Authors"},"rank":115},{"text":"Yari, Reza","contributorId":343863,"corporation":false,"usgs":false,"family":"Yari","given":"Reza","email":"","affiliations":[{"id":82227,"text":"Forest and Rangeland Research Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, AREEO, Mashhad, Iran","active":true,"usgs":false}],"preferred":false,"id":912210,"contributorType":{"id":1,"text":"Authors"},"rank":116},{"text":"Zaady, Eli","contributorId":300468,"corporation":false,"usgs":false,"family":"Zaady","given":"Eli","affiliations":[{"id":65166,"text":"Department of Natural Resources, Agricultural Research Organization, Institute of Plant Sciences, Gilat Research Center, Mobile Post Negev, Israel.","active":true,"usgs":false}],"preferred":false,"id":912211,"contributorType":{"id":1,"text":"Authors"},"rank":117},{"text":"Zeberio, Juan Manuel","contributorId":343864,"corporation":false,"usgs":false,"family":"Zeberio","given":"Juan","email":"","middleInitial":"Manuel","affiliations":[{"id":82228,"text":"CEANPa, Universidad Nacional de Río Negro, Sede Atlántica, Río Negro, Argentina","active":true,"usgs":false}],"preferred":false,"id":912212,"contributorType":{"id":1,"text":"Authors"},"rank":118},{"text":"Zhang, Yuanling","contributorId":343865,"corporation":false,"usgs":false,"family":"Zhang","given":"Yuanling","email":"","affiliations":[{"id":82229,"text":"State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":912213,"contributorType":{"id":1,"text":"Authors"},"rank":119},{"text":"Zhou, Xiaobing","contributorId":181757,"corporation":false,"usgs":false,"family":"Zhou","given":"Xiaobing","email":"","affiliations":[],"preferred":false,"id":912214,"contributorType":{"id":1,"text":"Authors"},"rank":120},{"text":"Bagousse-Pinguet, Yoann Le","contributorId":339276,"corporation":false,"usgs":false,"family":"Bagousse-Pinguet","given":"Yoann","email":"","middleInitial":"Le","affiliations":[{"id":81260,"text":"Aix Marseille Univ, CNRS, Avignon Université, IRD, IMBE; Aix-en-Provence, France","active":true,"usgs":false}],"preferred":false,"id":912215,"contributorType":{"id":1,"text":"Authors"},"rank":121}]}}
,{"id":70259194,"text":"70259194 - 2024 - Disentangling drivers of annual grass invasion: Abiotic susceptibility vs. fire-induced conversion to cheatgrass dominance in the sagebrush biome","interactions":[],"lastModifiedDate":"2024-10-03T15:59:21.385632","indexId":"70259194","displayToPublicDate":"2024-08-07T06:40:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling drivers of annual grass invasion: Abiotic susceptibility vs. fire-induced conversion to cheatgrass dominance in the sagebrush biome","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><div id=\"sp0045\" class=\"u-margin-s-bottom\">Invasive annual grasses are often facilitated by fire, yet they can become ecologically dominant in susceptible locations even in the absence of fire. We used an extensive vegetation plot database to model susceptibility to the invasive annual grass cheatgrass (<i>Bromus tectorum</i><span>&nbsp;</span>L.) in the sagebrush biome as a function of climate and soil water availability variables. We built random forest models predicting cheatgrass presence or dominance (greater than 15 % relative cover) under unburned (37,219 plots) and burned conditions (6340 plots). We mapped predicted probability of cheatgrass presence and dominance, conditional on burning. We combined predicted susceptibility with burn probability to quantify the 10-year total risk of cheatgrass dominance. Finally, we identified portions of the landscape (1) at risk of fire-induced conversion to cheatgrass dominance, (2) consistently susceptible to cheatgrass dominance, or (3) consistently resistant to cheatgrass dominance. At the scale of the sagebrush biome, we found that abiotic susceptibility to cheatgrass dominance drives total risk, regardless of fire. At local scales (i.e., individual 30 m pixels), burning increased the probability of cheatgrass dominance by a median of 14 %. Threshold-based analyses indicate that 10–31 % of the sagebrush biome was at risk of fire-induced dominance, with 55 % exhibiting abiotic resistance and 5 % exhibiting abiotic susceptibility to dominance regardless of fire. Burn probability was higher in areas predicted to be susceptible to dominance, illustrating how cheatgrass invasion can cause ecosystem conversions that are then sustained by grass-fire cycles. Disentangling the influence of abiotic conditions and fire contributes to our understanding of the mechanisms driving invasion dynamics, and modeling the probability of dominance can help anticipate where ecological transformations are at risk of occurring. Our approach can facilitate the prioritization of management actions in the sagebrush biome and be used as a framework for modeling invasion risk in other disturbance-prone ecosystems.</div></div></div></div><div id=\"reading-assistant-main-body-section\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110737","usgsCitation":"Urza, A.K., Board, D.I., Bradford, J., Brown, J.L., Chambers, D.R., Schlaepfer, D.R., and Short, K.C., 2024, Disentangling drivers of annual grass invasion: Abiotic susceptibility vs. fire-induced conversion to cheatgrass dominance in the sagebrush biome: Biological Conservation, v. 297, 110737, 14 p., https://doi.org/10.1016/j.biocon.2024.110737.","productDescription":"110737, 14 p.","ipdsId":"IP-163547","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":466970,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110737","text":"Publisher Index Page"},{"id":462431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.38170765935128,\n              49.047724062278405\n            ],\n            [\n              -120.32300963112243,\n              34.387472184773415\n            ],\n            [\n              -103.22828306862252,\n              34.387472184773415\n            ],\n            [\n              -103.0521889839356,\n              49.04575364957779\n            ],\n            [\n              -120.38170765935128,\n              49.047724062278405\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"297","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Urza, Alexandra K. 0000-0001-9795-6735","orcid":"https://orcid.org/0000-0001-9795-6735","contributorId":261259,"corporation":false,"usgs":false,"family":"Urza","given":"Alexandra","email":"","middleInitial":"K.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":914454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Board, David I.","contributorId":261260,"corporation":false,"usgs":false,"family":"Board","given":"David","email":"","middleInitial":"I.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":914455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jessi L.","contributorId":44817,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","email":"","middleInitial":"L.","affiliations":[{"id":13184,"text":"Program in Ecology, Evolution and Conservation Biology, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":914457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chambers, Daniel R. 0000-0003-3111-269X","orcid":"https://orcid.org/0000-0003-3111-269X","contributorId":344664,"corporation":false,"usgs":false,"family":"Chambers","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":914458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914459,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Short, Karen C.","contributorId":335894,"corporation":false,"usgs":false,"family":"Short","given":"Karen","email":"","middleInitial":"C.","affiliations":[{"id":80571,"text":"U.S. Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 W Broadway Street, Missoula, Montana 59808, USA","active":true,"usgs":false}],"preferred":false,"id":914460,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257129,"text":"70257129 - 2024 - Downstream decreases in water availability, tree height, canopy volume and growth rate in cottonwood forests along the Green River, southwestern USA","interactions":[],"lastModifiedDate":"2024-11-04T19:36:04.206703","indexId":"70257129","displayToPublicDate":"2024-08-07T06:23:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Downstream decreases in water availability, tree height, canopy volume and growth rate in cottonwood forests along the Green River, southwestern USA","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Hydrologic stress is increasing in Fremont cottonwood (<i>Populus fremontii</i>) forests across the southwestern United States because of increased temperature and streamflow diversion. The spatial variability of this stress is large yet poorly understood. Along the Yampa and Green Rivers in Colorado and Utah, vapour pressure deficit and flow diversions increase downstream. To investigate effects of this gradient on cottonwoods, we measured the percent live canopy and height of randomly selected trees at three sites: Deerlodge Park on the Yampa River (DLP), Island Park on the upper Green (ILP) and Canyonlands National Park on the lower Green (CAN). From these same trees, we took increment cores to understand differences in tree growth in each forest over time. We then related tree metrics to local water availability, streamflow and climatic data. Cottonwoods at CAN were shorter and had lower percent live canopy and growth rate than similarly aged trees upstream. CAN trees that grew higher above the water surface also tended to have lower tree growth, height and live canopy percentage. Furthermore, the correlation between tree growth and maximum vapour pressure deficit showed a much stronger negative shift since 1990 at CAN than at the other sites. All of these differences suggest higher hydrologic stress at CAN, which we attribute to the combined effects of peak flow declines from Flaming Gorge Reservoir, flow diversion and the higher and increasing vapour pressure deficit at CAN. Further research on the variability of hydrologic stress on cottonwoods could help managers anticipate and mitigate the effects of drought stress in these iconic forests.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/eco.2693","usgsCitation":"Thaxton, R.D., Scott, M., Kemper, J.T., Rathburn, S.L., Butzke, S., and Friedman, J.M., 2024, Downstream decreases in water availability, tree height, canopy volume and growth rate in cottonwood forests along the Green River, southwestern USA: Ecohydrology, v. 17, no. 7, e2693, 14 p., https://doi.org/10.1002/eco.2693.","productDescription":"e2693, 14 p.","ipdsId":"IP-162936","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":498885,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2693","text":"Publisher Index Page"},{"id":432479,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Thaxton, Richard D.","contributorId":238181,"corporation":false,"usgs":false,"family":"Thaxton","given":"Richard","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":909499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Michael L.","contributorId":244803,"corporation":false,"usgs":false,"family":"Scott","given":"Michael L.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":909500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kemper, John T.","contributorId":270040,"corporation":false,"usgs":false,"family":"Kemper","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":909501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":909502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butzke, Sabrina","contributorId":342023,"corporation":false,"usgs":false,"family":"Butzke","given":"Sabrina","email":"","affiliations":[{"id":81824,"text":"Contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":909503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909504,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257043,"text":"70257043 - 2024 - Bayesian multistate models for measuring invasive carp movement and evaluating telemetry array performance","interactions":[],"lastModifiedDate":"2024-08-09T16:14:16.630524","indexId":"70257043","displayToPublicDate":"2024-08-06T10:54:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian multistate models for measuring invasive carp movement and evaluating telemetry array performance","docAbstract":"<p><span>Understanding the movement patterns of an invasive species can be a powerful tool in designing effective management and control strategies. Here, we used a Bayesian multistate model to investigate the movement of two invasive carp species, silver carp (</span><i>Hypophthalmichthys molitrix</i><span>) and bighead carp (</span><i>H. nobilis</i><span>), using acoustic telemetry. The invaded portions of the Illinois and Des Plaines Rivers, USA, are a high priority management zone in the broader efforts to combat the spread of invasive carps from reaching the Laurentian Great Lakes. Our main objective was to characterize the rates of upstream and downstream movements by carps between river pools that are maintained by navigation lock and dam structures. However, we also aimed to evaluate the efficacy of the available telemetry infrastructure to monitor carp movements through this system. We found that, on a monthly basis, most individuals of both species remained within their current river pools: averaging 76.2% of silver carp and 75.5% of bighead carp. Conversely, a smaller proportion of silver carp, averaging 14.2%, and bighead carp, averaging 13.9%, moved to downstream river pools. Movements towards upstream pools were the least likely for both species, with silver carp at an average of 6.7% and bighead carp at 7.9%. The highest probabilities for upstream movements were for fish originating from the three most downstream river pools, where most of the population recruitment occurs. However, our evaluation of the telemetry array’s effectiveness indicated low probability to detect fish in this portion of the river. We provide insights to enhance the placement and use of these monitoring tools, aiming to deepen our comprehension of these species’ movement patterns in the system.</span></p>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.17834","usgsCitation":"Stanton, J.C., Brey, M.K., Coulter, A.A., Stewart, D.R., and Knights, B., 2024, Bayesian multistate models for measuring invasive carp movement and evaluating telemetry array performance: PeerJ, v. 12, e17834, 24 p., https://doi.org/10.7717/peerj.17834.","productDescription":"e17834, 24 p.","ipdsId":"IP-151880","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":439228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.17834","text":"Publisher Index Page"},{"id":432445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Waterway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.49554914748546,\n              41.90688869415442\n            ],\n            [\n              -89.45630498792075,\n              41.4339499690158\n            ],\n            [\n              -90.8325528903585,\n              39.87365631252747\n            ],\n            [\n              -90.76518343836855,\n              38.31770023259065\n            ],\n            [\n              -89.99975174472505,\n              40.02128386582143\n            ],\n            [\n              -88.86084431751425,\n              41.19214478105948\n            ],\n            [\n              -87.61745601726525,\n              41.47177424129181\n            ],\n            [\n              -87.49554914748546,\n              41.90688869415442\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coulter, Alison A.","contributorId":90992,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false},{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":909281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, David R.","contributorId":337778,"corporation":false,"usgs":false,"family":"Stewart","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":909282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knights, Brent 0000-0001-8526-8468","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":304124,"corporation":false,"usgs":false,"family":"Knights","given":"Brent","affiliations":[{"id":65975,"text":"UMESC Retired","active":true,"usgs":false}],"preferred":false,"id":909280,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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