{"pageNumber":"309","pageRowStart":"7700","pageSize":"25","recordCount":165296,"records":[{"id":70254676,"text":"70254676 - 2023 - Alaskan Yelloweye Rockfish fecundity revealed through an automated egg count and digital imagery method","interactions":[],"lastModifiedDate":"2024-06-06T11:44:51.490885","indexId":"70254676","displayToPublicDate":"2022-05-03T06:39:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Alaskan Yelloweye Rockfish fecundity revealed through an automated egg count and digital imagery method","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Spawning stock biomass (SSB) is often used as an index for reproductive potential (RP) in fisheries stock assessments. This method assumes that mature female biomass is proportional to total egg production and implies that (1) the fecundity–length relationship follows a cubic function or (2) relative fecundity is constant. For many marine fishes, adequate fecundity estimates to evaluate these relationships are lacking. This study estimated fecundity and fecundity relationships for Yelloweye Rockfish<span>&nbsp;</span><i>Sebastes ruberrimus</i><span>&nbsp;</span>and evaluated an automated method of counting eggs and larvae. We collected Yelloweye Rockfish ovaries (<i>N</i> = 90) from the northern Gulf of Alaska, including Prince William Sound, Alaska, during 2018–2019 and used the gravimetric method and image analysis software to count eggs from digital camera images. To evaluate the speed, accuracy, and precision of the automated counting procedure, one-third of the gravimetric samples were also manually counted. Image analysis software was approximately four times faster but equally accurate and precise for fecundity estimates relative to manual counts. Fecundity ranged from 53,249 to 3.052 × 10<sup>6</sup><span>&nbsp;</span>eggs (mean ± SD = 896,762 ± 699,504 eggs), and relative fecundity increased with female FL and ranged from 68 to 435 eggs/g of body weight (mean ± SD = 226 ± 87 eggs/g). The use of SSB for Yelloweye Rockfish stock assessment could underestimate the contribution to egg production by larger (&gt;5.6-kg) females, overestimate the contribution by smaller females, and lead to biased biological reference points. This study provides critical information to more realistically model RP and improve stock assessment inputs for the development of harvest control rules for Yelloweye Rockfish. Additionally, the use of image analysis software to count eggs in digital images proved to be an effective fecundity estimation method that could be applied to other highly fecund fish species for which the time demand of manual counting methods would be prohibitive.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10768","usgsCitation":"Arthur, D.E., Falke, J.A., Blain-Roth, B.J., and Sutton, T., 2023, Alaskan Yelloweye Rockfish fecundity revealed through an automated egg count and digital imagery method: North American Journal of Fisheries Management, v. 42, no. 4, p. 828-838, https://doi.org/10.1002/nafm.10768.","productDescription":"11 p.","startPage":"828","endPage":"838","ipdsId":"IP-128320","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -150.66869429879478,\n              58.66130275145309\n            ],\n            [\n              -142.53881148629478,\n              58.66130275145309\n            ],\n            [\n              -142.53881148629478,\n              62.048642839456136\n            ],\n            [\n              -150.66869429879478,\n              62.048642839456136\n            ],\n            [\n              -150.66869429879478,\n              58.66130275145309\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Arthur, Donald E.","contributorId":337224,"corporation":false,"usgs":false,"family":"Arthur","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":902214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blain-Roth, Brittany J.","contributorId":337227,"corporation":false,"usgs":false,"family":"Blain-Roth","given":"Brittany","email":"","middleInitial":"J.","affiliations":[{"id":80997,"text":"Sport Fish Division","active":true,"usgs":false}],"preferred":false,"id":902216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, Trent M.","contributorId":337228,"corporation":false,"usgs":false,"family":"Sutton","given":"Trent M.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":902217,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243294,"text":"70243294 - 2023 - Challenges in linking soil health to edge-of-field water quality across the Great Lakes basin","interactions":[],"lastModifiedDate":"2023-05-08T11:44:32.502818","indexId":"70243294","displayToPublicDate":"2022-04-26T06:36:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Challenges in linking soil health to edge-of-field water quality across the Great Lakes basin","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>To better understand agricultural nutrient losses, we evaluated relationships between management (e.g., manure and tillage), soil health measurements, and resulting edge-of-field (EOF) surface water quality. This work was conducted before or early into conservation implementation at 14 Great Lakes Restoration Initiative EOF sites spanning Wisconsin, Michigan, Indiana, Ohio, and New York. Analyses of site characteristics (hydroclimate, management, catchment properties) along with 3 yr of soil health measurements (chemical, biological, and physical properties) showed EOF-nutrient export depended on both site and soil properties. A pattern emerged whereby sites not receiving manure and sites with manure defined opposite ends of several gradients for soil and water data. Sites receiving manure had increased microbial activity, organic matter (3.2 vs. 2.7%), and soil test phosphorus (P) (2.8 times more) relative to sites without manure. Suspended sediments (SS), total P (TP), and total nitrogen (TN) in EOF surface runoff varied over three to five orders. Multivariate analysis among sites showed covariant linkages between soil nutrients, soil C, microbial properties, and nutrients in EOF water. There were positive univariate relationships between water-extractable soil P and annual EOF-water concentrations and yields of orthophosphate, TP, TN, and SS (<i>p</i>&nbsp;&lt;&nbsp;.01). Some soil physical properties (e.g., bulk density and infiltration) also covaried among sites but were not consistently related to runoff index or water yield variables. Given the observed among-site variability, we were not able to isolate desirable soil health signals on EOF surface water quality.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.20364","usgsCitation":"Fermanich, K., Meyers, M., Loken, L.C., Bischoff-Gray, M., Turco, R., Stahlhber, K., Duriancik, L., Dornbush, M., and Komiskey, M.J., 2023, Challenges in linking soil health to edge-of-field water quality across the Great Lakes basin: Journal of Environmental Quality, v. 52, no. 3, p. 508-522, https://doi.org/10.1002/jeq2.20364.","productDescription":"15 p.","startPage":"508","endPage":"522","ipdsId":"IP-133198","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":445533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20364","text":"Publisher Index Page"},{"id":416799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Fermanich, Kevin 0000-0002-5354-2941","orcid":"https://orcid.org/0000-0002-5354-2941","contributorId":63945,"corporation":false,"usgs":false,"family":"Fermanich","given":"Kevin","email":"","affiliations":[{"id":35036,"text":"University of Wisconsin-Green Bay","active":true,"usgs":false}],"preferred":false,"id":871929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyers, Molly","contributorId":304924,"corporation":false,"usgs":false,"family":"Meyers","given":"Molly","email":"","affiliations":[{"id":66188,"text":"University of Wisconsin - Green Bay","active":true,"usgs":false}],"preferred":false,"id":871930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":871931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bischoff-Gray, Marianne","contributorId":304925,"corporation":false,"usgs":false,"family":"Bischoff-Gray","given":"Marianne","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":871932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turco, Ronald","contributorId":304926,"corporation":false,"usgs":false,"family":"Turco","given":"Ronald","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":871933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stahlhber, Karen","contributorId":304927,"corporation":false,"usgs":false,"family":"Stahlhber","given":"Karen","email":"","affiliations":[{"id":66188,"text":"University of Wisconsin - Green Bay","active":true,"usgs":false}],"preferred":false,"id":871934,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duriancik, Lisa","contributorId":304928,"corporation":false,"usgs":false,"family":"Duriancik","given":"Lisa","email":"","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":871935,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dornbush, Mathew","contributorId":304929,"corporation":false,"usgs":false,"family":"Dornbush","given":"Mathew","email":"","affiliations":[{"id":66188,"text":"University of Wisconsin - Green Bay","active":true,"usgs":false}],"preferred":false,"id":871936,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":871937,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70254819,"text":"70254819 - 2023 - Population connectivity of aquatic insects in a dam-regulated, desert river","interactions":[],"lastModifiedDate":"2024-06-12T00:34:57.615577","indexId":"70254819","displayToPublicDate":"2022-04-20T19:31:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Population connectivity of aquatic insects in a dam-regulated, desert river","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Humans have exaggerated natural habitat fragmentation, negatively impacting species dispersal and reducing population connectivity. Habitat fragmentation can be especially detrimental in freshwater populations, whose dispersal is already constrained by the river network structure. Aquatic insects, for instance, are generally limited to two primary modes of dispersal: downstream drift in the aquatic juvenile life stages and flight during the terrestrial winged adult stage. Yet the impacts of large hydropower dams can make rivers uninhabitable for incoming (drifting) juvenile insects, with remaining refugia found only in tributaries. The ability of adult aquatic insects to traverse such river stretches in search of suitable tributary habitat likely depends on factors such as species-specific dispersal ability and distance between tributaries. To explore the intersection of natural and human-induced habitat fragmentation on aquatic insect dispersal ability, we quantified population genetics of three taxa with varying dispersal abilities, a caddisfly (Hydropsychidae,<span>&nbsp;</span><i>Hydropsyche oslari</i>), a mayfly (Baetidae:<span>&nbsp;</span><i>Fallceon quilleri</i>), and a water strider (Veliidae:<span>&nbsp;</span><i>Rhagovelia distincta</i>), throughout tributaries of the Colorado River in the Grand Canyon, Arizona, USA. Using 2bRAD reduced genome sequencing and landscape genetics analyses, we revealed a strong pattern of isolation by distance among mayfly populations. This contrasts with caddisfly and water strider populations, which were largely panmictic. Analysis of thousands of informative single nucleotide polymorphisms showed that realized dispersal ability may not be accurately predicted by species traits for these widespread species. Principal components analysis revealed a strong division between caddisfly populations upstream and downstream of Havasu Creek (279 km through the 390 km study reach), suggesting that the geography of the Grand Canyon imposes a dispersal barrier for this species. Our use of genetic tools in the Grand Canyon to understand population structure has enabled us to elucidate dispersal barriers for aquatic insects. Ultimately, these data may be useful in informing effective conservation management plans for understudied organisms of conservation interest.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3972","usgsCitation":"Abernethy, E.F., Muehlbauer, J., Kennedy, T., Dziedzic, K.E., Elder, H., Burke, M.K., and Lytle, D., 2023, Population connectivity of aquatic insects in a dam-regulated, desert river: River Research and Applications, v. 39, no. 3, p. 364-374, https://doi.org/10.1002/rra.3972.","productDescription":"11 p.","startPage":"364","endPage":"374","ipdsId":"IP-135461","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":435582,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U429YG","text":"USGS data release","linkHelpText":"Population genetic analysis of three aquatic macroinvertebrate species from samples in Grand Canyon (Arizona, USA) tributaries and nearby reference streams, 2016-2021"},{"id":429936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Abernethy, Erin F.","contributorId":337721,"corporation":false,"usgs":false,"family":"Abernethy","given":"Erin","email":"","middleInitial":"F.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muehlbauer, Jeffrey 0000-0003-1808-580X","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":221739,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":902637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":902639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dziedzic, Katie E.","contributorId":337722,"corporation":false,"usgs":false,"family":"Dziedzic","given":"Katie","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elder, Holland","contributorId":337723,"corporation":false,"usgs":false,"family":"Elder","given":"Holland","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burke, Molly K.","contributorId":337724,"corporation":false,"usgs":false,"family":"Burke","given":"Molly","email":"","middleInitial":"K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lytle, David A.","contributorId":337725,"corporation":false,"usgs":false,"family":"Lytle","given":"David A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902643,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70231615,"text":"70231615 - 2023 - Climate and landscape controls on old-growth western juniper demography in the northern Great Basin, USA","interactions":[],"lastModifiedDate":"2023-03-31T14:57:04.633467","indexId":"70231615","displayToPublicDate":"2022-04-20T08:45:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Climate and landscape controls on old-growth western juniper demography in the northern Great Basin, USA","docAbstract":"<p><span>Western juniper (</span><i>Juniperus occidentalis</i><span>&nbsp;Hook.) woodlands have persisted for millennia in semiarid parts of the northern Great Basin, USA, providing critical habitat for plant and animal species. Historical records suggest that the establishment of western juniper is strongly associated with regional climatic variability. For example, the abundance of western juniper pollen and macrofossils measured in lake sediment cores increased rapidly in the mid-1500s, concurrent with a regional increase in winter precipitation. However, little is known about how climatic factors interact with landscape structure to control the spatial distribution of western juniper at fine scales and at lower treelines. We used tree rings to reconstruct a spatially distributed history of establishment for 421 western juniper trees across 130&nbsp;ha on Horse Ridge in central Oregon. Establishment occurred between 845 and 1961 CE, but most trees established after the mid-1550s. The pronounced sixteenth century pulse of establishment represents a transition from more open wooded shrublands to persistent woodlands and coincides with an increase in cool-season moisture and generally cool summer temperatures. Ancient trees that established before this were limited to certain microsites, suggesting that local topoedaphic conditions influenced juniper woodland demography and distributions, although we could not identify consistent environmental drivers. In the future, warmer and drier growing season conditions and a potential increase in wildfire activity may broadly limit western juniper recruitment and its distribution across the region, but at finer scales landscape features that buffer climate change impacts or provide fire safe niches may serve as refugia.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10021-022-00762-9","usgsCitation":"Loehman, R.A., Heyerdahl, E.K., Pederson, G.T., and McWethy, D.B., 2023, Climate and landscape controls on old-growth western juniper demography in the northern Great Basin, USA: Ecosystems, v. 26, p. 362-382, https://doi.org/10.1007/s10021-022-00762-9.","productDescription":"21 p.","startPage":"362","endPage":"382","ipdsId":"IP-136112","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":435583,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OC5BBT","text":"USGS data release","linkHelpText":"Cool Season (September-June) Total Precipitation Reconstruction for Deschutes County, Oregon, 1000-1991 CE"},{"id":400696,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Great Basin, Horse Ridge study site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.125,\n              43.9\n            ],\n            [\n              -121.75,\n              43.9\n            ],\n            [\n              -121.75,\n              44.2\n            ],\n            [\n              -122.125,\n              44.2\n            ],\n            [\n              -122.125,\n              43.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2022-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":843131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heyerdahl, Emily K.","contributorId":204192,"corporation":false,"usgs":false,"family":"Heyerdahl","given":"Emily","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":843132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":843133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McWethy, David B.","contributorId":207232,"corporation":false,"usgs":false,"family":"McWethy","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":843134,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70242814,"text":"70242814 - 2023 - 2022 Crustal Deformation Modeling Workshop Report","interactions":[],"lastModifiedDate":"2023-04-19T12:12:34.954763","indexId":"70242814","displayToPublicDate":"2022-04-19T07:12:02","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"2022 Crustal Deformation Modeling Workshop Report","docAbstract":"The 2022 Crustal Deformation Modeling Workshop was held June 20–24 at the Colorado School of Mines in Golden, Colorado. The workshop included two days of tutorials on the use of the open-source software PyLith for crustal deformation modeling followed by three days of science talks and discussions. The workshop focused on three primary themes: (1) Earthquake cycle modeling; (2) Inversions for fault slip; and (3) Faulting, fluids, and surface loading. \n\nThe talks highlighted how computational models provide insight into intriguing observations of Earth and planetary behavior. These included (1) earthquake synchronization of rupture patches due to their close proximity to each other, (2) the influence of fault geometry and damage zones on hypocenter depth and rupture propagation, (3) a lack of steady-state faulting behavior due to long time scales for grain size evolution in the mid-crust, (4) crustal deformation due to tidal, hydrological, and atmospheric loads, and (5) plumes of gas and icy particles due to tidal driven faulting on Enceladus (one of Saturn’s moons). The talks also described new computational modeling capabilities for incorporating complex geologic structure into Bayesian inversions for fault slip and efficient implementation of earthquake cycle models using a symmetric interior discontinuous Galerkin method. The complete agenda is available on the Computational Infrastructure for Geodynamic (CIG) website.","language":"English","publisher":"Computational Infrastructure for Geodynamics, Southern California Earthquake Center","usgsCitation":"Aagaard, B.T., Barbot, S., Erickson, B., Knepley, M., Simons, M., and Williams, C., 2023, 2022 Crustal Deformation Modeling Workshop Report, 4 p.","productDescription":"4 p.","ipdsId":"IP-143535","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":415995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":415985,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://files.scec.org/s3fs-public/reports/2022/22031_report.pdf?rLExIDHshWv5NLL3893i1z1ZKmHcmoTu"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":869862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbot, Sylvain","contributorId":244551,"corporation":false,"usgs":false,"family":"Barbot","given":"Sylvain","affiliations":[{"id":48938,"text":"Department of Earth Sciences, University of Southern California, Los Angeles, CA, USA","active":true,"usgs":false}],"preferred":false,"id":869863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Brittany","contributorId":206382,"corporation":false,"usgs":false,"family":"Erickson","given":"Brittany","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":869864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knepley, Matthew","contributorId":304241,"corporation":false,"usgs":false,"family":"Knepley","given":"Matthew","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":869865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simons, Mark","contributorId":172625,"corporation":false,"usgs":false,"family":"Simons","given":"Mark","email":"","affiliations":[],"preferred":false,"id":869866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Charles 0000-0001-7435-9196","orcid":"https://orcid.org/0000-0001-7435-9196","contributorId":243027,"corporation":false,"usgs":false,"family":"Williams","given":"Charles","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":869867,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70239229,"text":"70239229 - 2023 - Using physiological conditions to assess current and future habitat use of a Subarctic frog","interactions":[],"lastModifiedDate":"2023-01-18T17:40:29.411484","indexId":"70239229","displayToPublicDate":"2022-04-08T06:57:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2009,"text":"Integrative Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Using physiological conditions to assess current and future habitat use of a Subarctic frog","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Species with especially close dependence on the environment to meet physiological requirements, such as ectotherms, are highly susceptible to the impacts of climate change. Climate change is occurring rapidly in the Subarctic and Arctic, but there is limited knowledge on ectotherm physiology in these landscapes. We investigated how environmental conditions and habitat characteristics influence the physiological conditions and habitat use of wood frogs (<i>Rana sylvatica</i>) in a Subarctic landscape near Churchill, Manitoba (Canada). We used plaster models to estimate water loss rates and surface body temperatures among different habitat types and at specific locations used by radio-tracked frogs. Water loss (<i>R</i><sup>2</sup><span>&nbsp;</span>= 0.67) and surface temperature (<i>R</i><sup>2</sup><span>&nbsp;</span>= 0.80) of plaster models was similar to that of live frogs. Model-based water loss rates were greater in tundra habitat than in boreal forest and ecotone habitat. Habitat use of wood frogs was strongly tied with available surface moisture and decreased water loss rates that were observed with plaster models. Environmental conditions, such as wind speed and ground temperature, explained 58% and 91% of the variation in water balance and temperature of plaster models. Maintaining physiological conditions may be challenging for semi-aquatic ectotherms in environments vulnerable to future climate change. The ability to predict physiological conditions based on environmental conditions, as demonstrated in our study, can help understand how wildlife will respond to climatic changes.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1749-4877.12649","usgsCitation":"Hastings, T., Hossack, B., Fishback, L., and Davenport, J.M., 2023, Using physiological conditions to assess current and future habitat use of a Subarctic frog: Integrative Zoology, v. 18, no. 1, p. 2-14, https://doi.org/10.1111/1749-4877.12649.","productDescription":"13 p.","startPage":"2","endPage":"14","ipdsId":"IP-130207","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":445537,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1749-4877.12649","text":"Publisher Index Page"},{"id":411336,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Manitoba","city":"Churchill","otherGeospatial":"Hudson Bay Lowlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.162064263703,\n              59.61684429276676\n            ],\n            [\n              -97.162064263703,\n              57.91683133604823\n            ],\n            [\n              -93.29216224537427,\n              57.91683133604823\n            ],\n            [\n              -93.29216224537427,\n              59.61684429276676\n            ],\n            [\n              -97.162064263703,\n              59.61684429276676\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Hastings, T.","contributorId":300576,"corporation":false,"usgs":false,"family":"Hastings","given":"T.","email":"","affiliations":[{"id":65205,"text":"App State Univ","active":true,"usgs":false}],"preferred":false,"id":860838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":860839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fishback, L.","contributorId":300577,"corporation":false,"usgs":false,"family":"Fishback","given":"L.","affiliations":[{"id":65207,"text":"Churchill Northern Studies Centre,","active":true,"usgs":false}],"preferred":false,"id":860840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davenport, J. M.","contributorId":167622,"corporation":false,"usgs":false,"family":"Davenport","given":"J.","email":"","middleInitial":"M.","affiliations":[{"id":17621,"text":"Southeast Missouri State University","active":true,"usgs":false}],"preferred":false,"id":860841,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230402,"text":"70230402 - 2023 - Estimating the aboveground biomass and carbon stocks of tall shrubs in a prerestoration degraded salt marsh","interactions":[],"lastModifiedDate":"2023-01-18T15:48:19.823499","indexId":"70230402","displayToPublicDate":"2022-03-18T07:20:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the aboveground biomass and carbon stocks of tall shrubs in a prerestoration degraded salt marsh","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Wetlands play a vital role in Earth's carbon cycle and provide important ecosystem services. Their ability to perform their roles can be compromised by human activities that destroy or impair their functioning. The restoration of degraded wetlands may allow carbon cycle functioning, as well as other services, to be recovered. Predicting the potential outcomes from any restoration project requires upfront consideration, including via modeling possible changes in carbon stocks. In this study, we quantified the carbon stocks in tall shrub vegetation proliferating in a degraded salt marsh that is currently the subject of an extensive restoration project. We produced allometric models to estimate biomass and carbon stocks for three tall shrub species, which, along with other freshwater and upland species in the area, will die with continued restoration. Therefore, estimating the potential for carbon losses in biomass is important. We also developed a means of estimating carbon stocks in other nontree plants in the estuary area. Useful equations for estimating the biomass of tall shrubs are limited in general and lacking for degraded systems. Our study adds to the literature on carbon stocks in shrub species and fills a data gap for degraded ecosystems. It also contributes to the broader carbon feasibility study of the aforementioned restoration project that was designed to predict the overall net impact of the project on greenhouse gas emissions in the ecosystem.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13684","usgsCitation":"Fouse, J., Eagle, M.J., Kroeger, K.D., and Smith, T.P., 2023, Estimating the aboveground biomass and carbon stocks of tall shrubs in a prerestoration degraded salt marsh: Restoration Ecology, v. 31, no. 1, e13684, 8 p., https://doi.org/10.1111/rec.13684.","productDescription":"e13684, 8 p.","ipdsId":"IP-129113","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"links":[{"id":398536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Fouse, Jacqualyn","contributorId":290132,"corporation":false,"usgs":false,"family":"Fouse","given":"Jacqualyn","email":"","affiliations":[],"preferred":false,"id":840327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":840328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":840329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Timothy P.","contributorId":220144,"corporation":false,"usgs":false,"family":"Smith","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":840330,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229514,"text":"70229514 - 2023 - Using genetic data to advance stream fish reintroduction science: A case study in brook trout","interactions":[],"lastModifiedDate":"2023-01-18T15:46:36.932566","indexId":"70229514","displayToPublicDate":"2022-03-03T07:12:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using genetic data to advance stream fish reintroduction science: A case study in brook trout","docAbstract":"<p>Widespread extirpation of native fish populations has led to a rise in species reintroduction efforts worldwide. Most efforts have relied on demographic data alone to guide project design and evaluate success. However, the genetic characteristics of many imperiled fish populations including low diversity, local adaptation, and hatchery introgression emphasize the importance of genetic data in the design and monitoring of reintroduction efforts. Focusing on a case study of brook trout (<i>Salvelinus fontinalis</i>) in North Carolina, USA, we show how the combined use of genetic and demographic data can support reintroduction efforts by improving source population selection and providing opportunities to evaluate genetic viability and adaptive potential in restored populations. Using this combined approach, we reintroduced brook trout into a restored stream from two source populations and monitored changes in genetic diversity and population size in source and recipient populations. Three years after the initial translocation, the reintroduced population had comparable density, but higher genetic diversity, than either source population. This study demonstrates the utility of genetic and demographic data for reintroduction efforts, particularly when extant populations are genetically depauperate and maintaining adaptive potential is a primary restoration goal. However, we emphasize the value of continued monitoring at longer temporal and spatial scales to determine the effects of stochastic process on the long-term adaptive capacity and persistence of reintroduced populations. Overall, inclusion of genetic data in reintroduction efforts offers increased ability to meet project goals while simultaneously conserving critical sources of adaptive variation that exist across the landscape.</p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13662","usgsCitation":"White, S.L., Johnson, T.C., Rash, J.M., Lubinski, B.A., and Kazyak, D., 2023, Using genetic data to advance stream fish reintroduction science: A case study in brook trout: Restoration Ecology, v. 31, no. 1, e13662, 13 p., https://doi.org/10.1111/rec.13662.","productDescription":"e13662, 13 p.","ipdsId":"IP-131735","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":397018,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":837716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Thomas C","contributorId":245999,"corporation":false,"usgs":false,"family":"Johnson","given":"Thomas","email":"","middleInitial":"C","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":837717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rash, Jacob M","contributorId":218128,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","email":"","middleInitial":"M","affiliations":[{"id":39760,"text":"Division of Inland Fisheries, North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":837718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":837719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science 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,{"id":70236841,"text":"70236841 - 2023 - Luminescence ages and new interpretations of the timing and deposition of Quaternary sediments at Natural Trap Cave, Wyoming","interactions":[],"lastModifiedDate":"2023-02-02T17:10:19.900697","indexId":"70236841","displayToPublicDate":"2022-03-01T06:56:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Luminescence ages and new interpretations of the timing and deposition of Quaternary sediments at Natural Trap Cave, Wyoming","docAbstract":"<p id=\"abspara0010\"><span>Natural Trap Cave, located in the Big Horn Mountains of north-central Wyoming, has a history of trapping and preserving a range of North American fauna that plummeted into the deep vertical entrance. These animal remains were buried and preserved within sediments of the main chamber and, in turn, have helped elucidate the procession of faunal dynamics during the&nbsp;latest glacial&nbsp;cycle. The cave location, south of the Laurentide and Cordilleran Ice Sheets, and proximal to Yellowstone, is at an ideal geographical juncture to provide insights to ecological changes in North America. The sediments that the animals are buried in inform us about transport and deposition both inside and outside of the cave that relate to catchment dynamics. We report on a series of optically stimulated luminescence (OSL) ages derived from samples obtained within the cave during excavation work in 2014 and in 2018. We also examine&nbsp;chronology&nbsp;produced by argon,&nbsp;tephrochronology, fission track, and luminescence techniques that have been used for understanding the infilling of the cave. The cave sediment ages and in situ measured gamma&nbsp;</span>spectroscopy<span>&nbsp;</span>as measured in this study helped resolve an improved chronological age model when combined with previous data.</p><p id=\"abspara0015\"><span>The suite of OSL ages is interpreted through the stratigraphic relationships (and vertebrates contained within) which requires the use of an adequate age model; we use either the central age model or minimum age model where appropriate and with justification. Lowest sediments are dated to ∼150 ka with a hiatus at ∼130 to 52 ka. Above this, sediment deposition and entrainment of paleontological materials are representative of&nbsp;Pleistocene&nbsp;and&nbsp;early Holocene&nbsp;times, between 37&nbsp;±&nbsp;6 ka and 7.6&nbsp;±&nbsp;0.5 ka. The stratigraphic architecture suggests that deposition of materials into the cave is episodic and rapid, followed by quiescent periods where hydrologic scour, heavy&nbsp;</span>overland flow<span>, or possibly a cryo-hydrologic process may have altered unit relationships. Thus, the complementary geochronometers and the characteristics of quartz versus&nbsp;feldspar&nbsp;luminescence signals improve temporal interpretations of these complex deposits. This adapted understanding of mixing also sets the stage for future work with the aim to improve our understanding of ages and sources for ash units within these cave deposits. The three ash units recognized in the cave may represent an in-situ reworking of the same ash or may be representative of previously undocumented eruptions from the Yellowstone&nbsp;Caldera.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2022.01.005","usgsCitation":"Mahan, S.A., Wood, J.R., Lovelace, D.M., Laden, J., McGuire, J., and Meachen, J., 2023, Luminescence ages and new interpretations of the timing and deposition of Quaternary sediments at Natural Trap Cave, Wyoming: Quaternary International, v. 647-648, p. 22-35, https://doi.org/10.1016/j.quaint.2022.01.005.","productDescription":"14 p.","startPage":"22","endPage":"35","ipdsId":"IP-130446","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":445542,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2022.01.005","text":"Publisher Index Page"},{"id":435584,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K8OYLG","text":"USGS data release","linkHelpText":"Data Release for Luminescence: Luminescence data for Natural Trap Cave, Wyoming"},{"id":407047,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Natural Trap Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.27438354492188,\n              44.79158175909386\n            ],\n            [\n              -107.92282104492188,\n              44.79158175909386\n            ],\n            [\n              -107.92282104492188,\n              45.00219463609633\n            ],\n            [\n              -108.27438354492188,\n              45.00219463609633\n            ],\n            [\n              -108.27438354492188,\n              44.79158175909386\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"647-648","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":852335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, John R.","contributorId":265642,"corporation":false,"usgs":false,"family":"Wood","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":852336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelace, Dave M 0000-0002-0154-4777","orcid":"https://orcid.org/0000-0002-0154-4777","contributorId":296740,"corporation":false,"usgs":false,"family":"Lovelace","given":"Dave","email":"","middleInitial":"M","affiliations":[{"id":64159,"text":"University of Wisconsin-Madison, Dept. of Geoscience","active":true,"usgs":false}],"preferred":false,"id":852337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laden, Juan","contributorId":296741,"corporation":false,"usgs":false,"family":"Laden","given":"Juan","email":"","affiliations":[],"preferred":false,"id":852338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, Jenny","contributorId":269803,"corporation":false,"usgs":false,"family":"McGuire","given":"Jenny","email":"","affiliations":[{"id":56035,"text":"GA Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":852339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meachen, Julie 0000-0002-2526-2045","orcid":"https://orcid.org/0000-0002-2526-2045","contributorId":296742,"corporation":false,"usgs":false,"family":"Meachen","given":"Julie","email":"","affiliations":[{"id":64161,"text":"Des Moines University","active":true,"usgs":false}],"preferred":false,"id":852340,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228207,"text":"70228207 - 2023 - The Hawai'i groundwater recharge tool","interactions":[],"lastModifiedDate":"2023-07-24T16:28:25.313428","indexId":"70228207","displayToPublicDate":"2022-02-07T09:04:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10084,"text":"Concurrency and Computation: Practice and Experience","active":true,"publicationSubtype":{"id":10}},"title":"The Hawai'i groundwater recharge tool","docAbstract":"This article discusses the design and implementation of the Hawai’i Groundwater\nRecharge Tool, an application for providing data and analyses of the impacts\nof land-cover modifications and changes in precipitation on groundwater-recharge\nrates for the island of O’ahu. This application uses simulation data based on a set of\n29 land-cover types and 2 precipitation conditions to provide users with real-time\nrecharge calculations for interactively defined land-cover modifications. The tool provides\ntwo visualizations, representing the land cover for the island and the resultant\ngroundwater-recharge rates, and a set of metrics indicating the changes to groundwater\nrecharge for relevant areas to present a set of easily interpretable outcomes based\non user-defined scenarios. Users have varying degrees of control over the granularity\nof data input and output, allowing for the quick production of a roughly defined scenario,\nor more precise land-cover definitions. These modifications can be exported for\nfurther analysis. Heuristics are used to provide a responsive user interface and performant\nintegration with the database containing the full set of simulation data. This\ntool is designed to provide user-friendly access to the information on the impacts of\nland-cover and precipitation changes on groundwater-recharge rates needed to assist\nin making data-driven decisions.","language":"English","publisher":"Wiley","doi":"10.1002/cpe.6843","usgsCitation":"McLean, J.H., Cleveland, S.B., Rotzoll, K., Izuka, S.K., Leigh, J., Jacobs, G.A., and Theriot, R., 2023, The Hawai'i groundwater recharge tool: Concurrency and Computation: Practice and Experience, v. 35, no. 18, e6843, https://doi.org/10.1002/cpe.6843.","productDescription":"e6843","ipdsId":"IP-119105","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":395528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"O'ahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": 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Hawaii","active":true,"usgs":false}],"preferred":false,"id":833418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rotzoll, Kolja 0000-0002-5910-888X kolja@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":3325,"corporation":false,"usgs":true,"family":"Rotzoll","given":"Kolja","email":"kolja@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":833419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leigh, Jason","contributorId":220109,"corporation":false,"usgs":false,"family":"Leigh","given":"Jason","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":833421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacobs, Gwen A.","contributorId":215071,"corporation":false,"usgs":false,"family":"Jacobs","given":"Gwen","email":"","middleInitial":"A.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":833422,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Theriot, Ryan","contributorId":220110,"corporation":false,"usgs":false,"family":"Theriot","given":"Ryan","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":833423,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70227640,"text":"70227640 - 2023 - Winter habitat selection and efficacy of telemetry to aid Grass Carp removal efforts in a large reservoir","interactions":[],"lastModifiedDate":"2023-03-01T16:31:11.547001","indexId":"70227640","displayToPublicDate":"2022-01-24T08:59:28","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Winter habitat selection and efficacy of telemetry to aid Grass Carp removal efforts in a large reservoir","docAbstract":"<p>Grass Carp<span>&nbsp;</span><i>Ctenopharyngodon idella</i><span>&nbsp;</span>were introduced in North America to control aquatic vegetation in small, closed systems. However, when they escape into larger systems in which they can reproduce, they have the potential to cause significant declines and alterations in aquatic vegetation communities. These alterations can in turn affect native species that are dependent on aquatic vegetation. Increased captures and observations of spawning have elevated concerns about Grass Carp establishment in new locations, with particular concern for establishment in Lake Erie and its tributaries. Recent efforts using telemetered fish that co-locate with wild conspecifics, sometimes in aggregations that are susceptible to harvest, have been used successfully to control invasive Common Carp<span>&nbsp;</span><i>Cyprinus carpio</i><span>&nbsp;</span>populations. If Grass Carp aggregate in winter similarly to Common Carp, they might be susceptible to similar control or harvest methods. During the winters (December–March) of 2017–2019, we tracked 86 Grass Carp tagged with acoustic transmitters in Truman Reservoir, Missouri, to evaluate winter habitat selection and to determine the effectiveness of using tagged fish in locating and removing wild fish by comparing harvest at locations of tagged fish to harvest at control sites that we believed were suitable Grass Carp habitat. Discrete-choice models showed that Grass Carp exhibited strong selection for shallow water, as 75% of locations were in littoral habitats with depths of 3 m or less. On average, we harvested more fish at sites where tagged fish were located (3.6 fish/attempt) than at control sites (1.2 fish/attempt). Full guts in individuals that were harvested may indicate that fish were using shallow-water habitats to feed. Our results suggested that Grass Carp did not usually form large winter aggregations, and although targeting locations with tagged fish slightly increased harvest success compared to efforts without them, efforts to reduce populations via harvest may be difficult in large systems when fish are widely dispersed.</p>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10693","usgsCitation":"Hessler, T.M., Chapman, D., Paukert, C.P., Jolley, J., and Byrne, M.E., 2023, Winter habitat selection and efficacy of telemetry to aid Grass Carp removal efforts in a large reservoir: North American Journal of Fisheries Management, v. 43, no. 1, p. 189-202, https://doi.org/10.1002/nafm.10693.","productDescription":"14 p.","startPage":"189","endPage":"202","ipdsId":"IP-127038","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":445547,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10693","text":"Publisher Index Page"},{"id":435585,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A2R1G0","text":"USGS data release","linkHelpText":"Water quality, habitat, sampling methods and characteristics for grass carp in Truman Reservoir Missouri, 2017-2019"},{"id":394760,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Osage River, Pomme de Terre River, South Grand River, Tebo River, Truman Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.83148193359375,\n              38.004819966413194\n            ],\n            [\n              -93.262939453125,\n              38.004819966413194\n            ],\n            [\n              -93.262939453125,\n              38.39333888832238\n            ],\n            [\n              -93.83148193359375,\n              38.39333888832238\n            ],\n            [\n              -93.83148193359375,\n              38.004819966413194\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hessler, Tyler Michael 0000-0001-5062-2340","orcid":"https://orcid.org/0000-0001-5062-2340","contributorId":272075,"corporation":false,"usgs":true,"family":"Hessler","given":"Tyler","email":"","middleInitial":"Michael","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":831475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":831476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jolley, Jeff C.","contributorId":272076,"corporation":false,"usgs":false,"family":"Jolley","given":"Jeff C.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":831478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byrne, Michael E. 0000-0001-9190-2728 mbyrne@usgs.gov","orcid":"https://orcid.org/0000-0001-9190-2728","contributorId":272077,"corporation":false,"usgs":false,"family":"Byrne","given":"Michael","email":"mbyrne@usgs.gov","middleInitial":"E.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":831479,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70248690,"text":"70248690 - 2023 - Early Pliocene marine transgression into the lower Colorado River valley, southwestern USA, by re-flooding of a former tidal strait","interactions":[],"lastModifiedDate":"2023-09-18T16:44:00.412156","indexId":"70248690","displayToPublicDate":"2022-01-17T11:40:34","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Early Pliocene marine transgression into the lower Colorado River valley, southwestern USA, by re-flooding of a former tidal strait","docAbstract":"<p><span>Marine straits and seaways are known to host a wide range of sedimentary processes and products, but the role of marine connections in the development of large river systems remains little studied. This study explores a hypothesis that shallow-marine waters flooded the lower Colorado River valley at&nbsp;</span><i>c.</i><span>&nbsp;5 Ma along a fault-controlled former tidal strait, soon after the river was first integrated into the northern Gulf of California. The upper bioclastic member of the southern Bouse Formation provides a critical test of this hypothesis. The upper bioclastic member contains wave ripple-laminated bioclastic grainstone with minor red mudstone, pebbly grainstone with hummocky cross-stratification (HCS)-like stratification and symmetrical gravelly ripples, and calcareous-matrix conglomerate. Fossils include upward-branching segmented coralline-like red algae with no known modern relatives but confirmed as marine calcareous algae, echinoid spines, barnacles, shallow-marine foraminifers, clams, and serpulid worm tubes. These results provide evidence for deposition in a shallow-marine bay or estuary seaward of the transgressive backstepping Colorado River delta. Tsunamis generated by seismic and meteorological sources likely produced the HCS-like and wave-ripple cross-bedding in poorly-sorted gravelly grainstone. Marine waters inundated a former tidal strait within a fault-bounded tectonic lowland that connected the lower Colorado River to the Gulf of California. Delta backstepping and transgression resulted from a decrease in sediment output due to sediment trapping in upstream basins and relative sea-level rise produced by regional tectonic subsidence.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Straits and seaways: Controls, processes and implications in modern and ancient systems","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/SP523-2021-57","usgsCitation":"Dorsey, R., Braga, J.C., Gardner, K., McDougall-Reid, K., and O’Connell, B., 2023, Early Pliocene marine transgression into the lower Colorado River valley, southwestern USA, by re-flooding of a former tidal strait, chap. <i>of</i> Straits and seaways: Controls, processes and implications in modern and ancient systems, v. 523, p. 369-397, https://doi.org/10.1144/SP523-2021-57.","productDescription":"29 p.","startPage":"369","endPage":"397","ipdsId":"IP-128308","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":445550,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/sp523-2021-57","text":"Publisher Index Page"},{"id":420910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California","otherGeospatial":"lower Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.04369108979155,\n              33.665780127848734\n            ],\n            [\n              -115.04369108979155,\n              32.827424439473745\n            ],\n            [\n              -114.230313401379,\n              32.827424439473745\n            ],\n            [\n              -114.230313401379,\n              33.665780127848734\n            ],\n            [\n              -115.04369108979155,\n              33.665780127848734\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"523","noUsgsAuthors":false,"publicationDate":"2022-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Dorsey, Rebecca","contributorId":140302,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":883223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braga, Juan Carlos","contributorId":174204,"corporation":false,"usgs":false,"family":"Braga","given":"Juan","email":"","middleInitial":"Carlos","affiliations":[{"id":13472,"text":"Universidad de Granada","active":true,"usgs":false}],"preferred":false,"id":883224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Kevin 0000-0001-8018-4353","orcid":"https://orcid.org/0000-0001-8018-4353","contributorId":258281,"corporation":false,"usgs":false,"family":"Gardner","given":"Kevin","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":883225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDougall-Reid, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":216211,"corporation":false,"usgs":true,"family":"McDougall-Reid","given":"Kristin","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":883226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Connell, Brennan","contributorId":201373,"corporation":false,"usgs":false,"family":"O’Connell","given":"Brennan","affiliations":[],"preferred":false,"id":883227,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231550,"text":"70231550 - 2023 - Gene flow influences the genomic architecture of local adaptation in six riverine fish species","interactions":[],"lastModifiedDate":"2023-03-31T14:55:43.388822","indexId":"70231550","displayToPublicDate":"2021-12-08T06:49:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Gene flow influences the genomic architecture of local adaptation in six riverine fish species","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Understanding how gene flow influences adaptive divergence is important for predicting adaptive responses. Theoretical studies suggest that when gene flow is high, clustering of adaptive genes in fewer genomic regions would protect adaptive alleles from recombination and thus be selected for, but few studies have tested it with empirical data. Here, we used restriction site-associated sequencing to generate genomic data for six fish species with contrasting life histories from six reaches of the Upper Mississippi River System, USA. We used four differentiation-based outlier tests and three genotype–environment association analyses to define neutral single nucleotide polymorphisms (SNPs) and outlier SNPs that were putatively under selection. We then examined the distribution of outlier SNPs along the genome and investigated whether these SNPs were found in genomic islands of differentiation and inversions. We found that gene flow varied among species, and outlier SNPs were clustered more tightly in species with higher gene flow. The two species with the highest overall<span>&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;</span>(0.0303–0.0720) and therefore lowest gene flow showed little evidence of clusters of outlier SNPs, with outlier SNPs in these species spreading uniformly across the genome. In contrast, nearly all outlier SNPs in the species with the lowest<span>&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;</span>(0.0003) were found in a single large putative inversion. Two other species with intermediate gene flow (<i>F</i><sub>ST</sub>&nbsp;~&nbsp;0.0025–0.0050) also showed clustered genomic architectures, with most islands of differentiation clustered on a few chromosomes. Our results provide important empirical evidence to support the hypothesis that increasingly clustered architecture of local adaptation is associated with high gene flow.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/mec.16317","usgsCitation":"Shi, Y., Bouska, K.L., McKinney, G.J., Dokai, W., Bartels, A., McPhee, M., and Larson, W., 2023, Gene flow influences the genomic architecture of local adaptation in six riverine fish species: Molecular Ecology, v. 32, no. 7, p. 1549-1566, https://doi.org/10.1111/mec.16317.","productDescription":"18 p.","startPage":"1549","endPage":"1566","ipdsId":"IP-128807","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":445554,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2021.05.18.444736","text":"External Repository"},{"id":400623,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Yue","contributorId":291758,"corporation":false,"usgs":false,"family":"Shi","given":"Yue","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":842993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":842994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinney, Garrett J.","contributorId":291759,"corporation":false,"usgs":false,"family":"McKinney","given":"Garrett","email":"","middleInitial":"J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":842995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dokai, William","contributorId":291760,"corporation":false,"usgs":false,"family":"Dokai","given":"William","email":"","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":842996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartels, Andrew","contributorId":291761,"corporation":false,"usgs":false,"family":"Bartels","given":"Andrew","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":842997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McPhee, Megan V.","contributorId":291762,"corporation":false,"usgs":false,"family":"McPhee","given":"Megan V.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":842998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":842992,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70224973,"text":"70224973 - 2023 - Anthropogenic landcover impacts fluvial dissolved organic matter composition in the Upper Mississippi River Basin","interactions":[],"lastModifiedDate":"2023-06-27T16:36:49.225489","indexId":"70224973","displayToPublicDate":"2021-10-07T07:44:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic landcover impacts fluvial dissolved organic matter composition in the Upper Mississippi River Basin","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Landcover changes have altered the natural carbon cycle; however, most landcover studies focus on either forest conversion to agriculture or urban, rarely both. We present differences in dissolved organic carbon (DOC) concentrations and dissolved organic matter (DOM) molecular composition within Upper Mississippi River Basin low order streams and rivers draining one of three dominant landcovers (forest, agriculture, and urban). Streams draining forest and urban landcovers have greater DOC concentrations, likely driven by differences in carbon sourcing, microbial processing, and soil disturbance. Using Fourier transform-ion cyclotron resonance mass spectrometry, 24% of assigned molecular formulae are common across all landcovers. Relative abundances of N-,S- heteroatomic formulae (CHON, CHOS, CHONS) are higher for agricultural and urban streams, with agricultural stream DOM having more N-containing formulae compared to urban stream DOM, which has more S-containing formulae. Higher N-,S- heteroatomic formulae abundance, along with enrichment in aliphatic, N-aliphatic, and highly unsaturated and phenolic (low O/C) compound categories within agricultural and urban stream DOM are likely to result from increased anthropogenic inputs, autochthonous production, and microbial processing associated with agricultural and urban impacts. Reduced N-,S- heteroatomic formulae abundances in forested stream DOM, along with enrichments in condensed aromatics, polyphenolics, and highly unsaturated phenolic (high O/C) compound categories, likely reflect greater contributions from surrounding organic-rich forest soil and vegetation. Overall, landcover change from forested to agriculture lowers DOC concentrations and changes from forested to agriculture or urban increases autochthonous, and presumably more biolabile, DOM contributions with ramifications for stream biogeochemical cycling.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10533-021-00852-1","usgsCitation":"Vaughn, D.R., Kellerman, A.M., Wickland, K., Striegl, R.G., Podgorski, D.C., Hawkings, J.R., Nienhuis, J., Dornblaser, M., Stets, E.G., and Spencer, R., 2023, Anthropogenic landcover impacts fluvial dissolved organic matter composition in the Upper Mississippi River Basin: Biogeochemistry, v. 164, p. 117-141, https://doi.org/10.1007/s10533-021-00852-1.","productDescription":"25 p.","startPage":"117","endPage":"141","ipdsId":"IP-129999","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467135,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://dspace.library.uu.nl/handle/1874/431727","text":"External Repository"},{"id":390381,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.75541803694763,\n              47.68663918909772\n            ],\n            [\n              -96.75541803694763,\n              42.07525258120208\n            ],\n            [\n              -89.11382661728497,\n              42.07525258120208\n            ],\n            [\n              -89.11382661728497,\n              47.68663918909772\n            ],\n            [\n              -96.75541803694763,\n              47.68663918909772\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"164","noUsgsAuthors":false,"publicationDate":"2021-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughn, Derrick R.","contributorId":267313,"corporation":false,"usgs":false,"family":"Vaughn","given":"Derrick","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":824952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kellerman, Anne M.","contributorId":204172,"corporation":false,"usgs":false,"family":"Kellerman","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":824953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":824954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":824955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":824956,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hawkings, Jon R.","contributorId":267314,"corporation":false,"usgs":false,"family":"Hawkings","given":"Jon","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":824957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nienhuis, Jaap","contributorId":267315,"corporation":false,"usgs":false,"family":"Nienhuis","given":"Jaap","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":824958,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dornblaser, Mark 0000-0002-6298-3757","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":220741,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":824959,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":824960,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spencer, Robert G. M.","contributorId":247636,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G. M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":824961,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70226711,"text":"70226711 - 2023 - Phosphorus sources, forms, and abundance as a function of streamflow and field conditions in a Maumee River tributary, 2016-2019","interactions":[],"lastModifiedDate":"2023-05-12T14:23:59.707582","indexId":"70226711","displayToPublicDate":"2021-09-20T08:48:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Phosphorus sources, forms, and abundance as a function of streamflow and field conditions in a Maumee River tributary, 2016-2019","docAbstract":"<p><span>Total phosphorus (TP), dissolved P (DP), and suspended sediment (SS) were sampled in Black Creek, Indiana, monthly during base flow and for 100 storm events during water years 2016–2019, enabling analysis of how each of these varied as a function of streamflow and field conditions at nested edge-of-field sites. Particulate P was normalized for SS (P</span><sub>SS</sub><span>&nbsp;=&nbsp;[TP − DP]/SS). Streamflow events were differentiated by maximum TP concentrations co-occurring with maximum SS (SED) or DP (SOL). The combination of new precipitation and high antecedent soil-water storage during months when fields were exposed coincided with higher streamflow that drove SED events. These SED events carried more SS, including sediment eroded from streambanks that added sediment P but also may have provided for sorption of DP. During SOL events, DP was higher and contributed approximately half of TP; SS was lower. These SOL events had higher P</span><sub>SS</sub><span>, more similar to that in base flow as well as composited samples of overland flow and tile-drain discharge from fields. Base-flow samples had significantly higher P</span><sub>SS</sub><span>&nbsp;concentrations than most event samples, with ≤25 times enrichment relative to soil P concentrations in fine-grained source material. Combining base-flow and event samples showed that P</span><sub>SS</sub><span>&nbsp;integrates SS, DP, and streamflow. Addition of new suspended sediment during events may provide for sorption of DP during and after events and storage in the system, delaying delivery of this P to Lake Erie relative to what would be expected for the dissolved form but adding to the legacy P stored in the stream system.</span></p>","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, Soil Science Society of America","doi":"10.1002/jeq2.20290","usgsCitation":"Williamson, T.N., Dobrowolski, E.G., and Kreiling, R.M., 2023, Phosphorus sources, forms, and abundance as a function of streamflow and field conditions in a Maumee River tributary, 2016-2019: Journal of Environmental Quality, v. 52, no. 3, p. 492-507, https://doi.org/10.1002/jeq2.20290.","productDescription":"16 p.","startPage":"492","endPage":"507","ipdsId":"IP-128762","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":445561,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20290","text":"Publisher Index Page"},{"id":392572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Black Creek basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.10009765625,\n              41.178653972331674\n            ],\n            [\n              -84.8333,\n              41.178653972331674\n            ],\n            [\n              -84.8333,\n              41.352072144512924\n            ],\n            [\n              -85.10009765625,\n              41.352072144512924\n            ],\n            [\n              -85.10009765625,\n              41.178653972331674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dobrowolski, Edward G. 0000-0001-9840-4609 edobrowo@usgs.gov","orcid":"https://orcid.org/0000-0001-9840-4609","contributorId":5555,"corporation":false,"usgs":true,"family":"Dobrowolski","given":"Edward","email":"edobrowo@usgs.gov","middleInitial":"G.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":827897,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70224549,"text":"70224549 - 2023 - An assessment of fish herding techniques: Management implications for mass removal and control of silver carp","interactions":[],"lastModifiedDate":"2023-03-01T16:23:03.557304","indexId":"70224549","displayToPublicDate":"2021-08-10T08:20:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of fish herding techniques: Management implications for mass removal and control of silver carp","docAbstract":"<p><span>We assessed the effectiveness of herding techniques on adult Silver Carp&nbsp;</span><i>Hypophthalmichthys molitrix</i><span>&nbsp;in a tributary to the Missouri River. Sites (600&nbsp;m) were contained using block nets and treated with one of five herding techniques: (1) a method commonly used by commercial fishers in the United States (commercial technique), (2) pulsed-DC electrofishing (electric technique), (3) broadband sound administered with underwater speakers (sound technique), (4) both sound and electric in combination (combination technique), and (5) solely the boat, with no added stimulus (control). Treatments were administered at sites with repeated 20-min runs (3×) in a slow, bank-to-bank pattern downstream through a 4.5-m opening between the block net and shoreline. Herding effectiveness was quantified by run category (cumulative for the second and third runs) using adaptive resolution imaging sonar. Mean herding effectiveness of the combination technique was three to four times greater than that of the other techniques regardless of the number of runs included. The effectiveness of the combination technique was significantly greater than the sound technique and control with inclusion of the second run and the commercial technique with inclusion of the third run. All herding techniques, excluding the combination technique, were statistically similar to the control. Inclusion of the second run was advantageous for all techniques, as herding effectiveness increased 54–103%, whereas inclusion of the third run was less beneficial (9–17% increase). Repeated runs allowed fish additional time to vacate the sample reach, but behavioral responses (i.e., acclimation or sensitization) were likely technique dependent. This study describes which techniques are most effective for herding Silver Carp and provides insight for improving mass removal efforts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10685","usgsCitation":"Ridgway, J.L., Lawson, K., Shier, S.A., Calfee, R.D., and Chapman, D., 2023, An assessment of fish herding techniques: Management implications for mass removal and control of silver carp: North American Journal of Fisheries Management, v. 43, no. 1, p. 176-188, https://doi.org/10.1002/nafm.10685.","productDescription":"13 p.","startPage":"176","endPage":"188","ipdsId":"IP-126694","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":445564,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10685","text":"Publisher Index Page"},{"id":435586,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T8YYIE","text":"USGS data release","linkHelpText":"Invasive carp movement rates among five herding techniques using adaptive resolution imaging sonar on the Lower Perche Creek, Columbia, MO"},{"id":389805,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Missouri River, Perche Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.42777778,\n              38.85555556\n            ],\n            [\n              -92.38888889,\n              38.85555556\n            ],\n            [\n              -92.38888889,\n              38.81666667\n            ],\n            [\n              -92.42777778,\n              38.81666667\n            ],\n            [\n              -92.42777778,\n              38.85555556\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ridgway, Josey Lee 0000-0003-4157-7255","orcid":"https://orcid.org/0000-0003-4157-7255","contributorId":238277,"corporation":false,"usgs":true,"family":"Ridgway","given":"Josey","email":"","middleInitial":"Lee","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":824034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawson, Katelyn M.","contributorId":201981,"corporation":false,"usgs":false,"family":"Lawson","given":"Katelyn M.","affiliations":[{"id":36314,"text":"University of Florida/IFAS","active":true,"usgs":false}],"preferred":false,"id":824035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shier, Stephen August 0000-0002-8940-601X","orcid":"https://orcid.org/0000-0002-8940-601X","contributorId":266006,"corporation":false,"usgs":true,"family":"Shier","given":"Stephen","email":"","middleInitial":"August","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":824036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":824037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":824038,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70225659,"text":"70225659 - 2023 - Grass carp reproduction in small tributaries of Truman Reservoir, Missouri: Implications for establishment in novel habitats","interactions":[],"lastModifiedDate":"2023-03-01T16:26:35.038426","indexId":"70225659","displayToPublicDate":"2021-06-30T07:10:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Grass carp reproduction in small tributaries of Truman Reservoir, Missouri: Implications for establishment in novel habitats","docAbstract":"<div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group\"><div class=\"article-section__content en main\"><p><span>Substantial work has been conducted to estimate the river length required for recruitment of invasive Grass Carp&nbsp;</span><i>Ctenopharyngodon idella</i><span>&nbsp;and bigheaded carps (Bighead Carp&nbsp;</span><i>Hypophthalmichthys nobilis</i><span>&nbsp;and Silver Carp&nbsp;</span><i>H. molitrix</i><span>); however, the distance upstream and size of stream required for spawning remain unclear. Adult Grass Carp are regularly captured in Harry S. Truman Reservoir, Missouri, although there have been only unconfirmed sightings of Silver Carp. Fertile diploid Grass Carp are used legally for vegetation control in Missouri; however, it is uncertain whether Grass Carp in Harry S. Truman Reservoir are the result of natural reproduction or escapees. We used ichthyoplankton tows and environmental DNA (eDNA) to investigate which carp species were present in the reservoir basin and to determine whether these carps were spawning in reservoir tributaries. Grass Carp eggs were collected in four of five tributaries during June 2014. We did not detect eggs, larvae, or eDNA of Bighead Carp or Silver Carp. The occurrence of Grass Carp eggs generally coincided with rapid increases in discharge and turbidity. These tributaries may be the smallest rivers worldwide in which spawning of Grass Carp has been documented. We infer from the developmental stages captured and the distance from the reservoir that sufficient river length exists for egg survival. These results have broad implications concerning the establishment of Grass Carp in other novel habitats, including other reservoirs and lake basins, smaller rivers, and the Laurentian Great Lakes ecosystem.</span></p></div></div></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10670","usgsCitation":"Hayer, C., Bayless, M.F., Richter, C.A., George, A.E., and Chapman, D., 2023, Grass carp reproduction in small tributaries of Truman Reservoir, Missouri: Implications for establishment in novel habitats: North American Journal of Fisheries Management, v. 43, no. 1, p. 154-163, https://doi.org/10.1002/nafm.10670.","productDescription":"10 p.","startPage":"154","endPage":"163","ipdsId":"IP-124786","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":445567,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10670","text":"Publisher Index Page"},{"id":391200,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Harry S. Truman Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.87626781287895,\n              38.44550224678622\n            ],\n            [\n              -93.87626781287895,\n              38.01549078739032\n            ],\n            [\n              -93.26454741727603,\n              38.01549078739032\n            ],\n            [\n              -93.26454741727603,\n              38.44550224678622\n            ],\n            [\n              -93.87626781287895,\n              38.44550224678622\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayer, Cari-Ann chayer@usgs.gov","contributorId":177628,"corporation":false,"usgs":false,"family":"Hayer","given":"Cari-Ann","email":"chayer@usgs.gov","affiliations":[],"preferred":false,"id":826087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bayless, Michael F.","contributorId":239697,"corporation":false,"usgs":false,"family":"Bayless","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":826088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":826089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":826090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":826091,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250357,"text":"70250357 - 2023 - Insects in high-elevation streams: Life in extreme environments imperiled by climate change","interactions":[],"lastModifiedDate":"2023-12-05T13:20:15.299221","indexId":"70250357","displayToPublicDate":"2020-09-15T07:16:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Insects in high-elevation streams: Life in extreme environments imperiled by climate change","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Climate change is altering conditions in high-elevation streams worldwide, with largely unknown effects on resident communities of aquatic insects. Here, we review the challenges of climate change for high-elevation aquatic insects and how they may respond, focusing on current gaps in knowledge. Understanding current effects and predicting future impacts will depend on progress in three areas. First, we need better descriptions of the multivariate physical challenges and interactions among challenges in high-elevation streams, which include low but rising temperatures, low oxygen supply and increasing oxygen demand, high and rising exposure to ultraviolet radiation, low ionic strength, and variable but shifting flow regimes. These factors are often studied in isolation even though they covary in nature and interact in space and time. Second, we need a better mechanistic understanding of how physical conditions in streams drive the performance of individual insects. Environment-performance links are mediated by physiology and behavior, which are poorly known in high-elevation taxa. Third, we need to define the scope and importance of potential responses across levels of biological organization. Short-term responses are defined by the tolerances of individuals, their capacities to perform adequately across a range of conditions, and behaviors used to exploit local, fine-scale variation in abiotic factors. Longer term responses to climate change, however, may include individual plasticity and evolution of populations. Whether high-elevation aquatic insects can mitigate climatic risks via these pathways is largely unknown.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15356","usgsCitation":"Birrell, J.H., Shah, A.A., Hotaling, S., Giersch, J.J., Williamson, C.E., Jacobsen, D., and Woods, H.A., 2023, Insects in high-elevation streams: Life in extreme environments imperiled by climate change: Global Change Biology, v. 26, no. 12, p. 6667-6684, https://doi.org/10.1111/gcb.15356.","productDescription":"18 p.","startPage":"6667","endPage":"6684","ipdsId":"IP-115881","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":499596,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://researchprofiles.ku.dk/da/publications/df460dab-362d-44be-90d0-702e53190ffe","text":"External Repository"},{"id":423240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Birrell, Jackson H.","contributorId":332143,"corporation":false,"usgs":false,"family":"Birrell","given":"Jackson","email":"","middleInitial":"H.","affiliations":[{"id":5084,"text":"Division of Biological Sciences, University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":889540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shah, Alisha A. 0000-0002-8454-7905","orcid":"https://orcid.org/0000-0002-8454-7905","contributorId":271069,"corporation":false,"usgs":false,"family":"Shah","given":"Alisha","email":"","middleInitial":"A.","affiliations":[{"id":56265,"text":"Division of Biological Sciences, University of Montana, Missoula, MT, USA","active":true,"usgs":false}],"preferred":false,"id":889541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hotaling, Scott 0000-0002-5965-0986","orcid":"https://orcid.org/0000-0002-5965-0986","contributorId":176860,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","email":"","affiliations":[],"preferred":false,"id":889542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":198074,"corporation":false,"usgs":true,"family":"Giersch","given":"J.","email":"jgiersch@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williamson, Craig E.","contributorId":146436,"corporation":false,"usgs":false,"family":"Williamson","given":"Craig","email":"","middleInitial":"E.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":889544,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacobsen, Dean 0000-0001-5137-297X","orcid":"https://orcid.org/0000-0001-5137-297X","contributorId":198314,"corporation":false,"usgs":false,"family":"Jacobsen","given":"Dean","email":"","affiliations":[],"preferred":false,"id":889545,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woods, H. Arthur","contributorId":287211,"corporation":false,"usgs":false,"family":"Woods","given":"H.","email":"","middleInitial":"Arthur","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":889546,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274322,"text":"70274322 - 2023 - Alaska terrestrial and marine climate trends, 1957–2021","interactions":[],"lastModifiedDate":"2026-03-26T15:04:32.457351","indexId":"70274322","displayToPublicDate":"2020-07-01T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Alaska terrestrial and marine climate trends, 1957–2021","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Some of the largest climatic changes in the Arctic have been observed in Alaska and the surrounding marginal seas. Near-surface air temperature (T2m), precipitation (</span><i>P</i><span>), snowfall, and sea ice changes have been previously documented, often in disparate studies. Here, we provide an updated, long-term trend analysis (1957–2021;&nbsp;</span><i>n</i><span>&nbsp;= 65 years) of such parameters in ERA5, NOAA U.S. Climate Gridded Dataset (NClimGrid), NOAA National Centers for Environmental Information (NCEI) Alaska climate division, and composite sea ice products preceding the upcoming Fifth National Climate Assessment (NCA5) and other near-future climate reports. In the past half century, annual T2m has broadly increased across Alaska, and during winter, spring, and autumn on the North Slope and North Panhandle (T2m &gt; 0.50°C decade</span><sup>−1</sup><span>). Precipitation has also increased across climate divisions and appears strongly interrelated with temperature–sea ice feedbacks on the North Slope, specifically with increased (decreased) open water (sea ice extent). Snowfall equivalent (SFE) has decreased in autumn and spring, perhaps aligned with a regime transition of snow to rain, while winter SFE has broadly increased across the state. Sea ice decline and melt-season lengthening also have a pronounced signal around Alaska, with the largest trends in these parameters found in the Beaufort Sea. Alaska’s climatic changes are also placed in context against regional and contiguous U.S. air temperature trends and show ∼50% greater warming in Alaska relative to the lower-48 states. Alaska T2m increases also exceed those of any contiguous U.S. subregion, positioning Alaska at the forefront of U.S. climate warming.</span></span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JCLI-D-22-0434.1","usgsCitation":"Ballinger, T.J., Bhatt, U.S., Bieniek, P.A., Brettschneider, B., Lader, R.T., Littell, J.S., Thoman, R.L., Waigl, C.F., Walsh, J.E., and Webster, M.A., 2023, Alaska terrestrial and marine climate trends, 1957–2021: Journal of Climate, v. 36, no. 13, p. 4375-4391, https://doi.org/10.1175/JCLI-D-22-0434.1.","productDescription":"17 p.","startPage":"4375","endPage":"4391","ipdsId":"IP-147531","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":501576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Warehouse</a></p>","publishedDate":"2024-11-15","revisedDate":"2025-07-08","noUsgsAuthors":false,"publicationDate":"2024-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McCammon, Ryan Conner 0009-0003-2787-5878","orcid":"https://orcid.org/0009-0003-2787-5878","contributorId":346258,"corporation":false,"usgs":false,"family":"McCammon","given":"Ryan","email":"","middleInitial":"Conner","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":false,"id":918526,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70257082,"text":"70257082 - 2022 - Using the TSS-RESTREND methodology to diagnose post-reclamation vegetation trends on the western slope of Colorado","interactions":[],"lastModifiedDate":"2024-08-09T15:24:36.517501","indexId":"70257082","displayToPublicDate":"2024-05-13T06:47:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17091,"text":"Reclamation Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Using the TSS-RESTREND methodology to diagnose post-reclamation vegetation trends on the western slope of Colorado","docAbstract":"<div id=\"16044660\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>We evaluated the use of the time series segmented residual trends (TSS-RESTREND) methodology to analyze plant community trends after oil and gas reclamation. We focused on reclaimed well pads managed by the Bureau of Land Management in northwestern Colorado. We assessed whether TSS-RESTREND could detect postreclamation changes in a plant community and if such changes corresponded with management actions. We used precipitation data and the greenness-to-cover index to calculate the residuals of the vegetation–precipitation relationship (VPR residuals). The VPR residuals represent plant community trends caused by disturbance or management actions and not by precipitation. We then used breaks for additive season and trend and the Chow test on the VPR residuals of each well pad to identify abrupt changes in plant community composition from 2000 to 2020. Afterward, we applied a segmented residual trend (RESTREND) analysis to the VPR residuals before and after an identified breakpoint or a singular RESTREND when no significant breakpoint was found to determine if reclamation had an effect on vegetation response to precipitation. We found a slight positive increase in VPR residuals over time since reclamation, indicating a more positive response to precipitation over time. In addition, well pads with lower aridity index values had a small positive trend in VPR residuals over time, suggesting the negative impact of aridity on plant community composition diminishes with increasing time since reclamation. To further understand the connection between management actions and outcomes, we compared findings from TSS-RESTREND with aerial imagery and well pad documentation. With this information, we categorized the well pads into six groups based on reclamation outcomes. This approach provided insights into the effects of management actions on recovery. Overall, TSS-RESTREND methodology can help identify changes in plant community composition over time, enhancing our understanding of plant community dynamics in these severely degraded areas.</p></div>","language":"English","publisher":"American Society of Reclamation Sciences","doi":"10.21000/RCSC-202300002","usgsCitation":"Di Stéfano, S., Karl, J.W., and Duniway, M.C., 2022, Using the TSS-RESTREND methodology to diagnose post-reclamation vegetation trends on the western slope of Colorado: Reclamation Sciences, v. 1, p. 48-62, https://doi.org/10.21000/RCSC-202300002.","productDescription":"15 p.","startPage":"48","endPage":"62","ipdsId":"IP-158133","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445576,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.21000/rcsc-202300002","text":"Publisher Index Page"},{"id":432407,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.16867978830311,\n              41.11813994764327\n            ],\n            [\n              -109.16867978830311,\n              38.48528723340792\n            ],\n            [\n              -104.77414853830311,\n              38.48528723340792\n            ],\n            [\n              -104.77414853830311,\n              41.11813994764327\n            ],\n            [\n              -109.16867978830311,\n              41.11813994764327\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"1","noUsgsAuthors":false,"publicationDate":"2024-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Di Stéfano, Sean","contributorId":341975,"corporation":false,"usgs":false,"family":"Di Stéfano","given":"Sean","affiliations":[{"id":81815,"text":"Department of Forest, Rangeland, and Fire Sciences, College of Natural Resources, University of Idaho, ID USA; Rangeland Resources and 6 Systems Research Unit, USDA Agricultural Research Service, Fort Collins, CO USA","active":true,"usgs":false}],"preferred":false,"id":909342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karl, Jason W.","contributorId":191703,"corporation":false,"usgs":false,"family":"Karl","given":"Jason","email":"","middleInitial":"W.","affiliations":[{"id":7045,"text":"USDA-ARS Jornada Experimental Range ","active":true,"usgs":false}],"preferred":false,"id":909343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257018,"text":"70257018 - 2022 - How shall we meet? Embracing the opportunities of virtual conferencing","interactions":[],"lastModifiedDate":"2024-09-04T16:10:09.863824","indexId":"70257018","displayToPublicDate":"2024-04-05T11:14:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"How shall we meet? Embracing the opportunities of virtual conferencing","docAbstract":"<p><span>The SARS-CoV-2 (COVID-19) pandemic triggered dramatic shifts in the way that ecologists teach, research, and interact (e.g., Cooke et al.&nbsp;</span><span><a id=\"#fsh10765-bib-0002_R_d169013862e246\" class=\"bibLink tab-link\" href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0002\" data-tab=\"pane-pcw-references\" data-mce-href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0002\">2021</a></span><span>). As the world now adjusts to a “new normal” era, there is notable and open discussion about the merits or desire to return to practices used prior to the pandemic (e.g., Roulson&nbsp;</span><span><a id=\"#fsh10765-bib-0014_R_d169013862e249\" class=\"bibLink tab-link\" href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0014\" data-tab=\"pane-pcw-references\" data-mce-href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0014\">2021</a></span><span>). A dominant aspect of these discussions is when and how researchers can return to the practice of large, centralized, in-person conferences that have been the primary mode of professional interaction for decades. While questions of safety are naturally paramount and will guide decision making for some time, there remains the broader question of whether and how to implement virtual and hybrid formats in the future.</span></p><p><span>Discussions about the return to in-person meetings and expressed resentment about the use of virtual formats (Stevens and Murphy&nbsp;<a id=\"#fsh10765-bib-0017_R_d169013862e255\" class=\"bibLink tab-link\" href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0017\" data-tab=\"pane-pcw-references\" data-mce-href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0017\">2021</a>) that we routinely see circulated by professional organizations and on social media assume that the latter is a lesser-quality version of the former. However, we put forward that these sentiments neglect the diversity of opinions among scientists and evidence of prevalent, positive attitudes about the use of virtual (and possibly, as yet undeveloped) modes of conferences. For example, 74% of more than 900 researchers surveyed by the journal&nbsp;<i>Nature</i>&nbsp;during the initial phase of the pandemic expressed a desire for virtual conferences to remain in practice even when travel restrictions were eased (Remmel&nbsp;<a id=\"#fsh10765-bib-0013_R_d169013862e260\" class=\"bibLink tab-link\" href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0013\" data-tab=\"pane-pcw-references\" data-mce-href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0013\">2021</a>). Other surveys have shown that scientists are highly interested in alternative conference formats due to concerns about climate change (Nursey-Bray et al.&nbsp;<a id=\"#fsh10765-bib-0011_R_d169013862e263\" class=\"bibLink tab-link\" href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0011\" data-tab=\"pane-pcw-references\" data-mce-href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0011\">2019</a>; Haage&nbsp;<a id=\"#fsh10765-bib-0004_R_d169013862e266\" class=\"bibLink tab-link\" href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0004\" data-tab=\"pane-pcw-references\" data-mce-href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0004\">2020</a>) and access (Niner and Wassermann&nbsp;<a id=\"#fsh10765-bib-0010_R_d169013862e270\" class=\"bibLink tab-link\" href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0010\" data-tab=\"pane-pcw-references\" data-mce-href=\"https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10765#fsh10765-bib-0010\">2021</a>). These data indicate most researchers have personal circumstances or perspectives that recognize the value of a broader discussion about how conferences and interactions among researchers can be shaped.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/fsh.10765","usgsCitation":"Rolls, R., Rogosch, J.S., and Kuehne, L.M., 2022, How shall we meet? Embracing the opportunities of virtual conferencing: Fisheries Magazine, v. 47, no. 7, p. 304-306, https://doi.org/10.1002/fsh.10765.","productDescription":"3 p.","startPage":"304","endPage":"306","ipdsId":"IP-136783","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":493295,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10072/419537","text":"External Repository"},{"id":432942,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Rolls, Robert J.","contributorId":341926,"corporation":false,"usgs":false,"family":"Rolls","given":"Robert J.","affiliations":[{"id":38381,"text":"University of New England","active":true,"usgs":false}],"preferred":false,"id":909172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogosch, Jane S. 0000-0002-1748-4991","orcid":"https://orcid.org/0000-0002-1748-4991","contributorId":317717,"corporation":false,"usgs":true,"family":"Rogosch","given":"Jane","middleInitial":"S.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":909173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuehne, Lauren M.","contributorId":341927,"corporation":false,"usgs":false,"family":"Kuehne","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":81805,"text":"Omfishient Consulting","active":true,"usgs":false}],"preferred":false,"id":909174,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70238702,"text":"70238702 - 2022 - MTAB 102, November 2022","interactions":[],"lastModifiedDate":"2024-07-18T14:29:26.883172","indexId":"70238702","displayToPublicDate":"2023-11-23T10:56:06","publicationYear":"2022","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":13451,"text":"Memo to All Banders (MTAB)","active":true,"publicationSubtype":{"id":30}},"title":"MTAB 102, November 2022","docAbstract":"This Memo to All Banders (MTAB 102) was released in November 2022. Subjects in this this memo are 1. The Chiefs Chirp; 2. Alerts  Highly Pathogenic Avian Influenza; 3. Staff updates  BBL Staff Attends IOU Meeting, Banders Without Borders Attends Euring General Assembly, BBL Expands Knowledge of WRP Codes; 4. News  You Can Now Submit Data Using the Bander Portal, The Release of the Bird Migration Explorer Tool, Recent Highlights from the BBLs Fall Migration Station; 5. A note from the permitting shelves; 6. A note from the supply room; 7. Data management; 8. Frequently asked questions; 9. Banding and encounter highlights; 10. Auxiliary marker corner; 11. Message to the Flyways; 12. Message From The Ornithological Council; 13. Message regarding the Banding Associations; 14. Message from Canadas BBO; 15. Moments in history; 16. Recent Publications; 17. Upcoming events; and 18. Request for information. Appendix 1 Species Changes Update & Appendix 2 Bander Portal FAQ","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Harvey, K., and McKay, J.L., 2022, MTAB 102, November 2022: Memo to All Banders (MTAB), 31 p.","productDescription":"31 p.","ipdsId":"IP-147200","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":410089,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-102-november-2022"},{"id":425736,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":858307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Jennifer L. 0000-0002-8893-0231","orcid":"https://orcid.org/0000-0002-8893-0231","contributorId":296562,"corporation":false,"usgs":true,"family":"McKay","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":858308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}