{"pageNumber":"252","pageRowStart":"6275","pageSize":"25","recordCount":184743,"records":[{"id":70247508,"text":"70247508 - 2023 - A spatially explicit modeling framework to guide management of subsidized avian predator densities","interactions":[],"lastModifiedDate":"2023-08-10T11:43:08.209226","indexId":"70247508","displayToPublicDate":"2023-08-07T06:39:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"A spatially explicit modeling framework to guide management of subsidized avian predator densities","docAbstract":"

Anthropogenic resource subsidization across western ecosystems has contributed to widespread increases in generalist avian predators, including common ravens (Corvus corax; hereafter, raven). Ravens are adept nest predators and can negatively impact species of conservation concern. Predation effects from ravens are especially concerning for greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse), which have experienced prolonged population decline. Our objectives were to quantify spatiotemporal patterns in raven density, evaluate sage-grouse nest success concurrent with fluctuating raven densities, and demonstrate a spatially explicit decision support tool to guide management applications to appropriate conflict areas. We combined ~28,000 raven point count surveys with data from more than 900 sage-grouse nests between 2009 and 2019 within the Great Basin, USA. We modeled variation in raven density using a Bayesian hierarchical distance sampling approach with environmental covariates on detection and abundance. Concurrently, we modeled sage-grouse nest survival using a hierarchical frailty model as a function of raven density and other environmental covariates that influence the risk of nest failure. Raven density commonly exceeded 0.5 ravens km−2 and increased at low elevations with more anthropogenic development and/or agriculture. Reduced sage-grouse nest survival was strongly associated with elevated raven density (e.g., >0.5 ravens km−2) and varied with topographic ruggedness, shrub cover, and burned areas. For conservation application, we developed a spatially explicit planning tool that predicts nest survival under current and reduced raven numbers within the Great Basin to help direct management actions to localized areas where sage-grouse nests are at highest risk of failure. Our modeling framework can be generalized to multiple species where spatially registered abundance and demographic data are available.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4618","usgsCitation":"O’Neil, S.T., Coates, P.S., Webster, S.C., Brussee, B.E., Dettenmaier, S.J., Tull, J.C., Jackson, P.J., Casazza, M.L., and Espinosa, S.P., 2023, A spatially explicit modeling framework to guide management of subsidized avian predator densities: Ecosphere, v. 14, no. 8, e4618, 20 p., https://doi.org/10.1002/ecs2.4618.","productDescription":"e4618, 20 p.","ipdsId":"IP-145230","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":442498,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4618","text":"Publisher Index Page"},{"id":435232,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96DW3EH","text":"USGS data release","linkHelpText":"Code for a hierarchical model of raven densities linked with sage-grouse nest survival to help guide management of subsidized avian predators, version 1.0"},{"id":435231,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BLVJTS","text":"USGS data release","linkHelpText":"Data to Support Hierarchical Models and Decision Support Maps to Guide Management of Subsidized Avian Predator Densities"},{"id":419691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.2868540455589,\n 42.470077280121444\n ],\n [\n -120.24292757983179,\n 38.118170774915555\n ],\n [\n -117.21200144466887,\n 36.332112780767496\n ],\n [\n -114.35678117241328,\n 36.93261209362862\n ],\n [\n -114.35678117241328,\n 42.470077280121444\n ],\n [\n -120.2868540455589,\n 42.470077280121444\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":879908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":879909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webster, Sarah C. 0000-0003-4981-2010","orcid":"https://orcid.org/0000-0003-4981-2010","contributorId":302117,"corporation":false,"usgs":true,"family":"Webster","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":879910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":879911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettenmaier, Seth J. 0000-0001-6325-8808","orcid":"https://orcid.org/0000-0001-6325-8808","contributorId":302087,"corporation":false,"usgs":true,"family":"Dettenmaier","given":"Seth","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":879912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tull, John C. 0000-0002-0680-008X","orcid":"https://orcid.org/0000-0002-0680-008X","contributorId":201650,"corporation":false,"usgs":false,"family":"Tull","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":879913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackson, Pat J.","contributorId":206602,"corporation":false,"usgs":false,"family":"Jackson","given":"Pat","email":"","middleInitial":"J.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":879914,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":879915,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Espinosa, Shawn P.","contributorId":195583,"corporation":false,"usgs":false,"family":"Espinosa","given":"Shawn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":879916,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70247807,"text":"70247807 - 2023 - Spatial and temporal overlap between hatchery- and natural-origin steelhead and Chinook salmon during spawning in the Klickitat River, Washington, USA","interactions":[],"lastModifiedDate":"2024-01-24T17:30:18.876165","indexId":"70247807","displayToPublicDate":"2023-08-07T06:39:16","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":"Spatial and temporal overlap between hatchery- and natural-origin steelhead and Chinook salmon during spawning in the Klickitat River, Washington, USA","docAbstract":"

A goal of many segregated salmonid hatchery programs is to minimize potential interbreeding between hatchery- and natural-origin fish. To assess this on the Klickitat River, Washington, USA, we used radiotelemetry during 2009–2014 to evaluate spatiotemporal spawning overlap between hatchery-origin and natural-origin steelhead Oncorhynchus mykiss and spring Chinook Salmon O. tshawytscha. We estimated percentages of tagged fish that spawned naturally in the Klickitat River subbasin, emigrated from the Klickitat River, or died before spawning. For steelhead, 12% of hatchery-origin and 50% of natural-origin fish spawned naturally. For spring Chinook Salmon, 18% of hatchery-origin and 44% of natural-origin fish spawned naturally. Tag loss may result in underestimates in these percentages. Most hatchery-origin steelhead (90%) spawned downstream of rkm 32 and 75% spawned from November to mid-March, while the majority of natural-origin steelhead (64%) spawned upstream of rkm 32 and 75% spawned from mid-March to late May. Spawn timing of hatchery-origin Chinook Salmon (early August to mid-September) overlapped with that of natural-origin Chinook Salmon (late July to late September), and fish of both origins spawned in the same 30-km reach of the river. We estimated the percent of hatchery-origin spawners on the natural spawning grounds (pHOS) to be 12% for steelhead and 40% for spring Chinook Salmon across all study years. A kernel density analysis was used to estimate probability of spatiotemporal overlap between hatchery- and natural-origin spawners. For steelhead, we estimated this overlap to be 25% (95% CI 22.5–28%). For spring Chinook Salmon, tight spatial clustering of hatchery-origin fish resulted in a lower overlap estimate of 21% (13%-31%). We suggest adjusting pHOS estimates using these overlap estimates or similar spatiotemporal data on actual spawner proximity and possible interactions, and that these types of analyses be used in conjunction with gene flow analysis to accurately evaluate effects of individual hatchery programs.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10945","usgsCitation":"Zendt, J.S., Allen, B., Kock, T.J., Perry, R., and Pope, A., 2023, Spatial and temporal overlap between hatchery- and natural-origin steelhead and Chinook salmon during spawning in the Klickitat River, Washington, USA: North American Journal of Fisheries Management, v. 43, no. 6, p. 1687-1701, https://doi.org/10.1002/nafm.10945.","productDescription":"15 p.","startPage":"1687","endPage":"1701","ipdsId":"IP-150095","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":442500,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10945","text":"Publisher Index Page"},{"id":419920,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Klickitat River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.61464912453181,\n 45.72771938418035\n ],\n [\n -120.82413483062325,\n 46.49480247077369\n ],\n [\n -121.44510336977899,\n 46.52093875212026\n ],\n [\n -121.51897546658203,\n 45.721330175550776\n ],\n [\n -121.32915952789224,\n 45.676278902772864\n ],\n [\n -121.23425155854733,\n 45.65807648481219\n ],\n [\n -121.18872659764212,\n 45.5967150188734\n ],\n [\n -121.03749113429595,\n 45.642554957636634\n ],\n [\n -120.61464912453181,\n 45.72771938418035\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Zendt, Joseph S.","contributorId":328537,"corporation":false,"usgs":false,"family":"Zendt","given":"Joseph","email":"","middleInitial":"S.","affiliations":[{"id":78390,"text":"Yakama Nation Fisheries Program, 1575 Horseshoe Bend Road, Klickitat, WA 98628","active":true,"usgs":false}],"preferred":false,"id":880531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Brady","contributorId":328538,"corporation":false,"usgs":false,"family":"Allen","given":"Brady","affiliations":[{"id":78392,"text":"Bonneville Power Administration, 905 NE 11th Avenue, Portland, OR 97232","active":true,"usgs":false}],"preferred":false,"id":880532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kock, Tobias J. 0000-0001-8976-0230","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":214550,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":880533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":880534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":880535,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247785,"text":"70247785 - 2023 - Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud-based analysis","interactions":[],"lastModifiedDate":"2023-11-20T17:36:37.180823","indexId":"70247785","displayToPublicDate":"2023-08-06T10:59:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud-based analysis","docAbstract":"

Originally developed for terrestrial science and applications, the US Geological Survey Landsat surface reflectance (SR) archive spanning ~ 40 yr of observations has been increasingly utilized in large-scale water-quality studies. These products, however, have not been rigorously validated using in situ measured reflectance. This letter quantifies and demonstrates the quality of the SR products by harnessing a sizeable global dataset (N = 1100). We found that the Landsat 8/9 SR in the green and red bands marginally meet the targeted accuracy requirements (30%), whereas the uncertainties in the blue and coastal-aerosol bands ranged from 48% to 110%. We further observed > +25% biases in the visible bands of Landsat 5/7 SR, which can introduce an apparent downward trend when applied in time-series analyses combined with Landsat 8/9. Users must exercise caution when using this archive for trend analyses, and progress in atmospheric correction is required to foster advanced applications of the Landsat archive for aquatic science.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.10344","usgsCitation":"Maciel, D.A., Pahlevan, N., Barbosa, C.C., de Moraes de Novo, E.M., Paulino, R.S., Martins, V.S., Vermote, E., and Crawford, C., 2023, Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud-based analysis: Limnology and Oceanography Letters, v. 8, no. 6, p. 820-858, https://doi.org/10.1002/lol2.10344.","productDescription":"9 p.","startPage":"820","endPage":"858","ipdsId":"IP-149014","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":442503,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10344","text":"Publisher Index Page"},{"id":419891,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Maciel, Daniel Andrade","contributorId":328506,"corporation":false,"usgs":false,"family":"Maciel","given":"Daniel","email":"","middleInitial":"Andrade","affiliations":[{"id":78384,"text":"INPE","active":true,"usgs":false}],"preferred":false,"id":880451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pahlevan, Nima","contributorId":328507,"corporation":false,"usgs":false,"family":"Pahlevan","given":"Nima","affiliations":[{"id":78385,"text":"NASA GSFC/ SSAI","active":true,"usgs":false}],"preferred":false,"id":880452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbosa, Claudio Clemente Faria","contributorId":328508,"corporation":false,"usgs":false,"family":"Barbosa","given":"Claudio","email":"","middleInitial":"Clemente Faria","affiliations":[{"id":78384,"text":"INPE","active":true,"usgs":false}],"preferred":false,"id":880453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Moraes de Novo, Evlyn Marcia Leao","contributorId":328509,"corporation":false,"usgs":false,"family":"de Moraes de Novo","given":"Evlyn","email":"","middleInitial":"Marcia Leao","affiliations":[{"id":78384,"text":"INPE","active":true,"usgs":false}],"preferred":false,"id":880454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paulino, Rejane Souza","contributorId":328510,"corporation":false,"usgs":false,"family":"Paulino","given":"Rejane","email":"","middleInitial":"Souza","affiliations":[{"id":78384,"text":"INPE","active":true,"usgs":false}],"preferred":false,"id":880455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martins, Vitor Souza","contributorId":328511,"corporation":false,"usgs":false,"family":"Martins","given":"Vitor","email":"","middleInitial":"Souza","affiliations":[{"id":78386,"text":"Missippssii State University","active":true,"usgs":false}],"preferred":false,"id":880456,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vermote, Eric","contributorId":328512,"corporation":false,"usgs":false,"family":"Vermote","given":"Eric","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":880457,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":880458,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70247452,"text":"70247452 - 2023 - Merging machine learning and geostatistical approaches for spatial modeling of geoenergy resources","interactions":[],"lastModifiedDate":"2023-08-08T11:41:46.30057","indexId":"70247452","displayToPublicDate":"2023-08-06T06:39:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Merging machine learning and geostatistical approaches for spatial modeling of geoenergy resources","docAbstract":"

Geostatistics is the most commonly used probabilistic approach for modeling earth systems, including quality parameters of various geoenergy resources. In geostatistics, estimates, either on a point or block support, are generated as a spatially-weighted average of surrounding samples. The optimal weights are determined through the stationary variogram model which accounts for the spatial structure of the samples. Recently, efficient modeling workflows using various machine learning algorithms (MLAs) have been expanded to the spatial context for modeling geological heterogeneity. The flexible use of MLAs as a spatial estimation tool stems mainly from the fact that unlike kriging, they do not require any variogram, nor do they depend strongly on a prior stationarity assumption (i.e., second order stationarity). This study evaluates the performance of two MLAs (ensemble super learner and elliptical radial basis neural network), ordinary kriging, and hybrid spatial modeling approaches using ordinary intrinsic collocated cokriging. The aforementioned modeling techniques are compared for estimating resources for four coal variables (wash yield, ash yield, calorific value and thickness) as an example. The results suggest that MLAs, when implemented alone, do not outperform ordinary kriging, but the estimation accuracy of the final model, measured by the root mean squared error tends to subtly improve (

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2023.104328","usgsCitation":"Erdogan Erten, G., Erten, O., Karacan, C.O., Boisvert, J., and Deutsch, C.V., 2023, Merging machine learning and geostatistical approaches for spatial modeling of geoenergy resources: International Journal of Coal Geology, v. 276, 104328, 16 p., https://doi.org/10.1016/j.coal.2023.104328.","productDescription":"104328, 16 p.","ipdsId":"IP-149602","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":419585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.33693408888138,\n 37.563642070051216\n ],\n [\n -82.33693408888138,\n 37.039521964862686\n ],\n [\n -81.70000033583997,\n 37.039521964862686\n ],\n [\n -81.70000033583997,\n 37.563642070051216\n ],\n [\n -82.33693408888138,\n 37.563642070051216\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"276","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erdogan Erten, Gamze","contributorId":317909,"corporation":false,"usgs":false,"family":"Erdogan Erten","given":"Gamze","email":"","affiliations":[{"id":69186,"text":"U. of Alberta","active":true,"usgs":false}],"preferred":false,"id":879700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erten, Oktay","contributorId":300145,"corporation":false,"usgs":false,"family":"Erten","given":"Oktay","email":"","affiliations":[],"preferred":false,"id":879701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":879702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boisvert, Jeff","contributorId":317910,"corporation":false,"usgs":false,"family":"Boisvert","given":"Jeff","email":"","affiliations":[{"id":69186,"text":"U. of Alberta","active":true,"usgs":false}],"preferred":false,"id":879703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deutsch, Clayton V.","contributorId":317911,"corporation":false,"usgs":false,"family":"Deutsch","given":"Clayton","email":"","middleInitial":"V.","affiliations":[{"id":69186,"text":"U. of Alberta","active":true,"usgs":false}],"preferred":false,"id":879704,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247514,"text":"70247514 - 2023 - A brave new world: Managing for biodiversity conservation under ecosystem transformation","interactions":[],"lastModifiedDate":"2023-08-10T11:55:02.303425","indexId":"70247514","displayToPublicDate":"2023-08-05T06:51:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"A brave new world: Managing for biodiversity conservation under ecosystem transformation","docAbstract":"
Traditional conservation practices have primarily relied on maintaining biodiversity by preserving species and habitats in place. Many regions are experiencing unprecedented environmental conditions, shifts in species distribution and habitats, and high turnover in species composition, resulting in ecological transformation. Natural resource managers have lacked tools for identifying and selecting strategies to manage ecosystem transformation. A recently formalized decision support framework provides a way for managers to resist, accept, or direct (RAD) the trajectory of change. We begin by identifying how historical conservation practices are built into the RAD framework. Next, we describe how RAD can be used to implement climate change adaptation actions, using examples from the Mojave Desert to provide ecological context. Third, we discuss how the RAD framework can assist with the creation of conservation portfolios, facilitating the maintenance of overall biodiversity across a landscape. Preserving species assemblages in their current state, or restoring them to historical conditions, will not always be possible, and RAD allows for explicit deliberation about when and where to prioritize scarce resources. We conclude with a set of guidelines for conservation practitioners or managers moving forward. Although operating under an increasingly uncertain future is daunting, managers can utilize RAD to conserve biodiversity and effectively handle ecosystem transformation.
","language":"English","publisher":"MDPI","doi":"10.3390/land12081556","usgsCitation":"Wilkening, J.L., Magness, D.R., Thompson, L., and Lynch, A., 2023, A brave new world: Managing for biodiversity conservation under ecosystem transformation: Land, v. 12, no. 8, 1556, 14 p., https://doi.org/10.3390/land12081556.","productDescription":"1556, 14 p.","ipdsId":"IP-152003","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":442507,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land12081556","text":"Publisher Index Page"},{"id":419694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkening, Jennifer L. 0000-0001-8748-4578","orcid":"https://orcid.org/0000-0001-8748-4578","contributorId":127685,"corporation":false,"usgs":false,"family":"Wilkening","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7111,"text":"U. Colorado, Boulder, Dept. Ecology & Evol.Biol., PhD Student","active":true,"usgs":false}],"preferred":false,"id":879932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magness, Dawn Robin","contributorId":318208,"corporation":false,"usgs":false,"family":"Magness","given":"Dawn","email":"","middleInitial":"Robin","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":879933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":879934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":879935,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256432,"text":"70256432 - 2023 - Effects of sucker gigging on fish populations in Oklahoma scenic rivers","interactions":[],"lastModifiedDate":"2024-09-09T15:31:56.213633","indexId":"70256432","displayToPublicDate":"2023-08-04T10:26:42","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-151-2023","title":"Effects of sucker gigging on fish populations in Oklahoma scenic rivers","docAbstract":"

Suckers (Catostomidae) are ecologically important, and some support popular fisheries, despite not being considered ‘sport fish’ in most states. Gigging suckers is a popular and culturally significant pastime in the Ozark Highlands, but little is known about the effect of gigging harvest on population dynamics of suckers. Therefore, research is needed to determine safe levels of sucker harvest that ensure sustainability of sucker gigging and protect overall ecosystem function. The objectives of this study were to: 1) determine the spatial distribution of common sucker species during spawning season (when sucker gigging is most effective), 2) determine the population size, age structure , and total mortality rate for common sucker species, and 3) model the effects of different harvest rates on sucker populations to determine the harvest rate at which growth overfishing and recruitment overfishing begin.  Suckers were sampled using electrofishing, modified fyke netting, gillnetting, hoop netting, and seining and marked with passive integrated transponder (PIT) tags to provide information about population size, demographics, and coarse-scale movement patterns.  A subset of fish sampled using the above gears and additional fish collected during gigging tournaments in 2017-2019 and 2021-2022 (no tournament was held in 2020) were used for age analyses. Tournament data collected prior to the initiation of this project were obtained from the state agency. Data from gigging tournaments indicated Golden Redhorse Moxostoma erythrurum, Black Redhorse M. duquesnei, White Sucker Catostomus commersonii, and Spotted Sucker Minytrema melanops were vulnerable to gigging harvest. Selection by giggers for larger individuals was apparent for all species except Golden Redhorse in 2019. Spotted Suckers constituted most fish harvested, but the proportion of each species harvested still varied among years. A total of 943 fish were aged from samples obtained from 2017 to 2022 and results from subsequent analyses indicated a high degree of variation in growth rates within and among species. Over 4,700 suckers were tagged with PIT tags and over 400 recaptures of these tagged fish were made since autumn 2018. Preliminary analyses indicate survival was consistent across samples and species, and detection rates varied by sampling event (3-month periods). Our most likely top multistrata model suggested that a large portion of fish within the upper Spavinaw, lower Spavinaw, and reservoir sections remain in these locations year-round (means: 0.46 – 0.67). Despite this, transition probabilities are still high for movement from upper Spavinaw to lower Spavinaw (mean: 0.32) and from lower Spavinaw to upper Spavinaw (mean: 0.38). Likewise, transition probabilities were high for movement from lower Spavinaw to the reservoir (mean: 0.15) and from the reservoir to lower Spavinaw (mean: 0.32). Transition probabilities between upper Spavinaw and the reservoir were low in both directions (means < 0.01). Population sizes, growth trajectories and length-weight relationships varied among species. Preliminary harvest models suggest species-specific regulation may be scientifically appropriate; however, it may be difficult for giggers to identify species while gigging. Based on our model results, there appears to be little risk of recruitment or growth overfishing for any species at current exploitation levels.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Zetner, D., Shoup, D., and Brewer, S., 2023, Effects of sucker gigging on fish populations in Oklahoma scenic rivers: Cooperator Science Series FWS/CSS-151-2023, ii, 60 p.","productDescription":"ii, 60 p.","ipdsId":"IP-153396","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":431783,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/effects-sucker-gigging-fish-populations-oklahoma-scenic-rivers"},{"id":433623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-96.944611,33.949217],[-96.973807,33.935697],[-96.979818,33.941588],[-96.981031,33.94916],[-96.979347,33.95513],[-96.981337,33.956378],[-96.987892,33.954671],[-96.994288,33.949206],[-96.996183,33.941728],[-96.995023,33.932035],[-96.984939,33.904866],[-96.983971,33.892083],[-96.985567,33.886522],[-97.023899,33.844213],[-97.041245,33.837761],[-97.052209,33.841737],[-97.057554,33.840133],[-97.058623,33.837728],[-97.055148,33.825701],[-97.058623,33.818752],[-97.087999,33.808747],[-97.092112,33.804097],[-97.095236,33.794136],[-97.085218,33.765512],[-97.086195,33.743933],[-97.097154,33.727809],[-97.108936,33.720294],[-97.121102,33.717174],[-97.13753,33.718664],[-97.149394,33.721967],[-97.16281,33.729118],[-97.172192,33.737545],[-97.187792,33.769702],[-97.190397,33.781153],[-97.205431,33.801488],[-97.204995,33.81887],[-97.1997,33.827322],[-97.195831,33.830803],[-97.18137,33.831375],[-97.171627,33.835335],[-97.166824,33.840395],[-97.166629,33.847311],[-97.180845,33.895204],[-97.185458,33.9007],[-97.210921,33.916064],[-97.226522,33.914642],[-97.244946,33.903092],[-97.249209,33.875101],[-97.255636,33.863698],[-97.271532,33.86256],[-97.279108,33.864555],[-97.299245,33.880175],[-97.30749,33.878204],[-97.314413,33.866989],[-97.318243,33.865121],[-97.324158,33.866017],[-97.327563,33.873903],[-97.33294,33.87444],[-97.336524,33.872827],[-97.339392,33.86763],[-97.348338,33.843876],[-97.358513,33.830018],[-97.368744,33.821471],[-97.372941,33.819454],[-97.426493,33.819398],[-97.444193,33.823773],[-97.453057,33.828536],[-97.462857,33.841772],[-97.461486,33.84956],[-97.451469,33.87093],[-97.450954,33.891398],[-97.460376,33.903948],[-97.486505,33.916994],[-97.50096,33.919643],[-97.525277,33.911751],[-97.551541,33.897947],[-97.55827,33.897099],[-97.587441,33.902479],[-97.596289,33.913769],[-97.597115,33.917868],[-97.591514,33.9282],[-97.589598,33.953554],[-97.609091,33.968093],[-97.633778,33.981257],[-97.65621,33.989488],[-97.671772,33.99137],[-97.69311,33.983699],[-97.709684,33.954997],[-97.725289,33.941045],[-97.733723,33.936392],[-97.752957,33.937049],[-97.762768,33.934396],[-97.759399,33.91882],[-97.765446,33.913532],[-97.772672,33.914382],[-97.783717,33.91056],[-97.78034,33.904833],[-97.779683,33.899243],[-97.784657,33.890632],[-97.801578,33.885138],[-97.805423,33.877167],[-97.834333,33.857671],[-97.871447,33.849001],[-97.896738,33.857985],[-97.936743,33.879204],[-97.951215,33.878424],[-97.967777,33.88243],[-97.977808,33.889883],[-97.983769,33.8972],[-97.983552,33.904002],[-97.978804,33.912548],[-97.969873,33.905999],[-97.964461,33.907398],[-97.957155,33.914454],[-97.952679,33.929482],[-97.953395,33.936445],[-97.954467,33.937774],[-97.971175,33.937129],[-97.974173,33.942832],[-97.960351,33.951928],[-97.94573,33.989839],[-97.958325,33.990846],[-97.974173,34.006716],[-97.987388,33.999823],[-98.027672,33.993357],[-98.055197,33.995841],[-98.082839,34.002412],[-98.088203,34.005481],[-98.105482,34.031307],[-98.104022,34.036233],[-98.098001,34.03824],[-98.096177,34.044625],[-98.114587,34.06228],[-98.120208,34.072127],[-98.121039,34.081266],[-98.119417,34.084474],[-98.099328,34.104295],[-98.092421,34.116917],[-98.089755,34.128211],[-98.101937,34.14683],[-98.109462,34.154111],[-98.123377,34.15454],[-98.130816,34.150532],[-98.154354,34.122734],[-98.16912,34.114171],[-98.203711,34.117676],[-98.241013,34.133103],[-98.256467,34.129481],[-98.293901,34.13302],[-98.300209,34.134579],[-98.325445,34.151025],[-98.364023,34.157109],[-98.381238,34.149454],[-98.398441,34.128456],[-98.400967,34.122236],[-98.39816,34.121396],[-98.399777,34.099973],[-98.414426,34.085074],[-98.419995,34.082488],[-98.42848,34.085523],[-98.440092,34.084311],[-98.443724,34.082152],[-98.449034,34.073462],[-98.475066,34.064269],[-98.486328,34.062598],[-98.504182,34.072371],[-98.5282,34.094961],[-98.536257,34.107343],[-98.550917,34.119334],[-98.558593,34.128254],[-98.560191,34.133202],[-98.572451,34.145091],[-98.599789,34.160571],[-98.616733,34.156418],[-98.643223,34.164531],[-98.648073,34.164441],[-98.690072,34.133155],[-98.717537,34.13645],[-98.734287,34.135758],[-98.741966,34.12553],[-98.757037,34.124633],[-98.759653,34.126912],[-98.760558,34.132388],[-98.76557,34.136376],[-98.792015,34.143736],[-98.80681,34.155901],[-98.812954,34.158444],[-98.831115,34.162154],[-98.855585,34.161621],[-98.8579,34.159627],[-98.860125,34.149913],[-98.868116,34.149635],[-98.874872,34.155657],[-98.871211,34.163012],[-98.872922,34.166584],[-98.918333,34.181831],[-98.94022,34.203686],[-98.952358,34.212579],[-98.960791,34.21303],[-98.96247,34.204668],[-98.966302,34.201323],[-98.974132,34.203566],[-98.981364,34.217583],[-98.987294,34.221223],[-98.990852,34.221633],[-99.000761,34.217643],[-99.003433,34.214466],[-99.002916,34.208782],[-99.013075,34.203222],[-99.036273,34.206912],[-99.043471,34.198208],[-99.058084,34.200569],[-99.060344,34.204761],[-99.066465,34.208404],[-99.079535,34.211518],[-99.092191,34.209316],[-99.108758,34.203401],[-99.119204,34.201747],[-99.126567,34.203004],[-99.131885,34.207382],[-99.126614,34.215329],[-99.130609,34.219408],[-99.13822,34.219159],[-99.143985,34.214763],[-99.159016,34.20888],[-99.189511,34.214312],[-99.192683,34.218825],[-99.190146,34.22966],[-99.197153,34.244298],[-99.196926,34.260929],[-99.19457,34.272424],[-99.195605,34.280839],[-99.207561,34.283505],[-99.211648,34.292232],[-99.213476,34.310672],[-99.209724,34.324935],[-99.210716,34.336304],[-99.213135,34.340369],[-99.217335,34.34152],[-99.226153,34.339726],[-99.232606,34.34238],[-99.237233,34.362717],[-99.242945,34.372668],[-99.248969,34.375984],[-99.254722,34.372405],[-99.258696,34.372634],[-99.274926,34.384904],[-99.273958,34.38756],[-99.264508,34.388085],[-99.25898,34.391243],[-99.261321,34.403499],[-99.294648,34.415373],[-99.308274,34.410014],[-99.319606,34.408869],[-99.334037,34.427536],[-99.356713,34.442144],[-99.354672,34.451857],[-99.358795,34.455863],[-99.36961,34.458699],[-99.381011,34.456936],[-99.394956,34.442099],[-99.396902,34.418688],[-99.393919,34.415274],[-99.391492,34.405631],[-99.397253,34.377871],[-99.40296,34.373481],[-99.408848,34.372776],[-99.420432,34.380464],[-99.430995,34.373414],[-99.44076,34.374123],[-99.452648,34.388252],[-99.470969,34.396471],[-99.487219,34.397955],[-99.499875,34.409608],[-99.51428,34.414035],[-99.529786,34.411452],[-99.549242,34.412715],[-99.569696,34.418418],[-99.58006,34.416653],[-99.58448,34.407673],[-99.585442,34.388914],[-99.600026,34.374688],[-99.624197,34.373577],[-99.649662,34.379885],[-99.659362,34.37439],[-99.665992,34.374185],[-99.678283,34.379799],[-99.696462,34.381036],[-99.712682,34.390928],[-99.715089,34.400754],[-99.720259,34.406295],[-99.754248,34.421289],[-99.767234,34.430502],[-99.765599,34.437488],[-99.775743,34.444225],[-99.782986,34.444364],[-99.793684,34.453894],[-99.814313,34.476204],[-99.818739,34.484976],[-99.818186,34.48784],[-99.825325,34.497596],[-99.853066,34.511593],[-99.868953,34.527615],[-99.874403,34.537095],[-99.887147,34.549047],[-99.915771,34.565975],[-99.921801,34.570253],[-99.923211,34.574552],[-99.94572,34.579273],[-99.954567,34.578195],[-99.958898,34.571271],[-99.971555,34.562179],[-99.985833,34.560079],[-100.000381,34.560509],[-100.000406,36.499702],[-103.002434,36.500397],[-103.002199,37.000104],[-102.986976,36.998524],[-102.75986,37.000019],[-102.698142,36.995149],[-102.04224,36.993083],[-100.115722,37.002206],[-99.648652,36.999604],[-98.219499,36.997824],[-95.049499,36.99958],[-94.61808,36.998135],[-94.617919,36.499414],[-94.571806,36.213748],[-94.522634,35.934892],[-94.431215,35.39429],[-94.433915,35.387391],[-94.431515,35.369591],[-94.437774,35.239271],[-94.45753,34.642961],[-94.485875,33.637867],[-94.487514,33.628939],[-94.491503,33.625115],[-94.520725,33.616567],[-94.526291,33.619203],[-94.528928,33.62184],[-94.529221,33.634437],[-94.533322,33.63766],[-94.549142,33.635902],[-94.552658,33.638246],[-94.552072,33.65348],[-94.557052,33.656702],[-94.570821,33.654945],[-94.572286,33.656995],[-94.569357,33.663441],[-94.569943,33.66637],[-94.57962,33.677623],[-94.586641,33.678968],[-94.596895,33.671351],[-94.603047,33.671351],[-94.607442,33.67223],[-94.621211,33.681018],[-94.627656,33.677796],[-94.635273,33.669886],[-94.64289,33.668421],[-94.646113,33.6693],[-94.648457,33.673401],[-94.648457,33.684534],[-94.652265,33.690979],[-94.659167,33.692138],[-94.684792,33.684353],[-94.707858,33.686876],[-94.710088,33.68815],[-94.710725,33.691654],[-94.709451,33.699617],[-94.711043,33.705669],[-94.719006,33.708217],[-94.724102,33.705669],[-94.728243,33.699617],[-94.732384,33.700254],[-94.737161,33.704713],[-94.739072,33.710128],[-94.73748,33.716179],[-94.739391,33.72255],[-94.742576,33.727009],[-94.759139,33.729557],[-94.762961,33.731787],[-94.767739,33.73752],[-94.766465,33.750897],[-94.770924,33.754401],[-94.775064,33.755038],[-94.789716,33.74612],[-94.798634,33.744527],[-94.812012,33.751853],[-94.817427,33.752172],[-94.824753,33.749305],[-94.826027,33.74389],[-94.830804,33.740068],[-94.849296,33.739585],[-94.8693,33.745871],[-94.87708,33.75222],[-94.876033,33.760771],[-94.879218,33.764912],[-94.886226,33.764594],[-94.902276,33.776289],[-94.911427,33.778383],[-94.919614,33.786305],[-94.916834,33.804617],[-94.91945,33.810176],[-94.924518,33.812792],[-94.9358,33.810339],[-94.944302,33.812138],[-94.948716,33.818023],[-94.949533,33.825708],[-94.957676,33.835004],[-94.964401,33.837021],[-94.968895,33.860916],[-94.973411,33.861731],[-94.98165,33.852284],[-94.988487,33.851],[-94.992671,33.852455],[-95.000223,33.862505],[-95.008376,33.866089],[-95.022325,33.859813],[-95.046568,33.862565],[-95.049025,33.86409],[-95.061065,33.895292],[-95.065492,33.899585],[-95.07126,33.901597],[-95.078905,33.898377],[-95.084002,33.89328],[-95.090441,33.89328],[-95.093929,33.895963],[-95.095002,33.904816],[-95.10077,33.912193],[-95.103318,33.913669],[-95.110964,33.912998],[-95.119951,33.915815],[-95.122365,33.918632],[-95.121184,33.931307],[-95.1247,33.934675],[-95.131056,33.936925],[-95.161109,33.937598],[-95.184075,33.950353],[-95.219358,33.961567],[-95.230491,33.960764],[-95.252906,33.933648],[-95.250737,33.917083],[-95.253095,33.905444],[-95.26385,33.899256],[-95.272542,33.902055],[-95.277846,33.900877],[-95.280351,33.896751],[-95.283445,33.877746],[-95.287865,33.874946],[-95.294789,33.875388],[-95.325572,33.885704],[-95.333452,33.886286],[-95.334854,33.876831],[-95.339122,33.868873],[-95.407795,33.866308],[-95.44737,33.86885],[-95.463346,33.872313],[-95.461499,33.883686],[-95.464925,33.886709],[-95.469962,33.886105],[-95.478575,33.879301],[-95.492028,33.874822],[-95.502304,33.874742],[-95.506085,33.87639],[-95.506234,33.886306],[-95.510063,33.890135],[-95.515302,33.891142],[-95.533283,33.881162],[-95.545197,33.880294],[-95.552085,33.888422],[-95.549145,33.90795],[-95.559414,33.930179],[-95.563424,33.932193],[-95.585945,33.93448],[-95.599678,33.934247],[-95.603657,33.927195],[-95.636978,33.906613],[-95.647273,33.905976],[-95.659818,33.909092],[-95.665338,33.908132],[-95.669978,33.905844],[-95.684831,33.890232],[-95.696962,33.885218],[-95.71354,33.885124],[-95.728449,33.893704],[-95.737508,33.895967],[-95.747335,33.895756],[-95.756367,33.892625],[-95.761916,33.883402],[-95.762559,33.874367],[-95.757458,33.867957],[-95.753513,33.856464],[-95.758016,33.85008],[-95.772067,33.843817],[-95.776255,33.845145],[-95.789867,33.857686],[-95.805149,33.861304],[-95.820596,33.858465],[-95.821666,33.856633],[-95.818976,33.844456],[-95.820784,33.840564],[-95.828245,33.836054],[-95.837516,33.83564],[-95.859469,33.852456],[-95.881292,33.860627],[-95.915961,33.881148],[-95.935198,33.887101],[-95.937202,33.884652],[-95.935308,33.878724],[-95.936631,33.870615],[-95.941267,33.861619],[-95.944284,33.859811],[-95.951609,33.857017],[-95.972156,33.856371],[-95.980966,33.859307],[-95.984254,33.864403],[-95.991487,33.866869],[-95.996748,33.864403],[-95.998351,33.851049],[-96.005296,33.845505],[-96.019599,33.840566],[-96.022065,33.843196],[-96.022229,33.850923],[-96.029463,33.852402],[-96.037191,33.841245],[-96.048834,33.836468],[-96.084626,33.846656],[-96.100095,33.847971],[-96.101473,33.846709],[-96.097638,33.837935],[-96.097448,33.832725],[-96.09936,33.83047],[-96.109993,33.832396],[-96.122951,33.839964],[-96.14807,33.837799],[-96.15163,33.831946],[-96.148792,33.819197],[-96.150765,33.816987],[-96.164217,33.817001],[-96.17589,33.814627],[-96.178964,33.810553],[-96.17515,33.801951],[-96.162123,33.79614],[-96.162757,33.788769],[-96.169452,33.770131],[-96.178059,33.760518],[-96.1999,33.752117],[-96.220521,33.74739],[-96.229023,33.748021],[-96.269896,33.768405],[-96.277269,33.769735],[-96.292482,33.766419],[-96.303009,33.750878],[-96.307389,33.735005],[-96.307035,33.719987],[-96.309964,33.710489],[-96.316925,33.698997],[-96.321103,33.6951],[-96.348306,33.686379],[-96.355946,33.687155],[-96.362198,33.691818],[-96.363253,33.70105],[-96.36959,33.716809],[-96.408469,33.751192],[-96.422643,33.776041],[-96.436455,33.78005],[-96.448045,33.781031],[-96.459154,33.775232],[-96.500268,33.772583],[-96.511914,33.781478],[-96.515912,33.787795],[-96.516584,33.803168],[-96.526655,33.820891],[-96.532865,33.823005],[-96.551223,33.819129],[-96.572937,33.819098],[-96.592926,33.830916],[-96.623155,33.841483],[-96.62929,33.845488],[-96.628969,33.852407],[-96.61197,33.869016],[-96.597348,33.875101],[-96.590112,33.880665],[-96.58536,33.888948],[-96.587934,33.894784],[-96.628294,33.894477],[-96.659896,33.916666],[-96.667187,33.91694],[-96.673449,33.912278],[-96.680947,33.896204],[-96.683464,33.884217],[-96.682209,33.873876],[-96.684727,33.862905],[-96.690708,33.849959],[-96.699574,33.839049],[-96.712422,33.831633],[-96.761588,33.824406],[-96.766235,33.825458],[-96.770676,33.829621],[-96.776766,33.841976],[-96.780569,33.860098],[-96.783485,33.863534],[-96.794276,33.868886],[-96.832157,33.874835],[-96.839778,33.868396],[-96.841592,33.852894],[-96.845896,33.848975],[-96.85609,33.84749],[-96.866438,33.853149],[-96.88301,33.868019],[-96.895728,33.896414],[-96.899442,33.933728],[-96.907387,33.950025],[-96.9163,33.957798],[-96.922114,33.959579],[-96.944611,33.949217]]]},\"properties\":{\"name\":\"Oklahoma\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zetner, D.","contributorId":340551,"corporation":false,"usgs":false,"family":"Zetner","given":"D.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoup, D. E.","contributorId":242905,"corporation":false,"usgs":false,"family":"Shoup","given":"D. E.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907355,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247418,"text":"sir20235093 - 2023 - Analysis of high-resolution single channel seismic data for use in sediment resource evaluation, eastern Texas and western Louisiana Continental Shelf, Gulf of Mexico","interactions":[],"lastModifiedDate":"2026-03-12T21:16:59.60233","indexId":"sir20235093","displayToPublicDate":"2023-08-04T08:46:47","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5093","displayTitle":"Analysis of High-Resolution Single Channel Seismic Data for Use in Sediment Resource Evaluation, Eastern Texas and Western Louisiana Continental Shelf, Gulf of Mexico","title":"Analysis of high-resolution single channel seismic data for use in sediment resource evaluation, eastern Texas and western Louisiana Continental Shelf, Gulf of Mexico","docAbstract":"

Shallow subsurface geologic data recorded as high-resolution seismic profiles are used to interpret the geology of coastal and marine systems. These data were originally recorded on paper rolls that are stored in geophysical archives. Data collection has since converted to entirely digital formats, yet the analog data are still useful for geologic interpretation. This report describes the process of recovering analog copies of seismic profiles from physical archives, electronically scanning, and converting them to industry-standard digital format. The recovered data are also reviewed and assessed for potential sediment resources. The data recovered in this study were collected from the Gulf of Mexico continental shelf offshore of East Texas and West Louisiana. The project is a collaborative study between the U.S. Geological Survey and the Bureau of Ocean Energy Management.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235093","issn":"2328-0328","collaboration":"Prepared in cooperation with the Bureau of Ocean Energy Management","programNote":"Coastal and Marine Hazards and Resources Program","usgsCitation":"Flocks, J., Forde, A., and Bosse, S., 2023, Analysis of high-resolution single channel seismic data for use in sediment resource evaluation, eastern Texas and western Louisiana Continental Shelf, Gulf of Mexico: U.S. Geological Survey Scientific Investigations Report 2023–5093, 18 p., https://doi.org/10.3133/sir20235093.","productDescription":"Report: viii, 18 p.; Data Release","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-144157","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":419532,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235093/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5093 HTML"},{"id":419531,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5093/sir20235093.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2023-5093 XML"},{"id":419530,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5093/sir20235093.pdf","size":"4.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5093 pdf"},{"id":419529,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5093/images"},{"id":419528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5093/coverthb.jpg"},{"id":419533,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EFUAN3","text":"USGS data release—Archive of digitized analog boomer seismic reflection data collected from the northern Gulf of Mexico—Intersea 1980"},{"id":501060,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115126.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.86243995309941,\n 29.6\n ],\n [\n -94.1,\n 29.6\n ],\n [\n -94.1,\n 28.4\n ],\n [\n -91.86243995309941,\n 28.4\n ],\n [\n -91.86243995309941,\n 29.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, St. Petersburg Coastal and Marine Science Center
600 4th Street South
St. Petersburg, FL 33701 

Contact Pubs Warehouse
","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-08-04","noUsgsAuthors":false,"publicationDate":"2023-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":879518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":879519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bosse, Stephen T. 0000-0001-6110-2973 sbosse@usgs.gov","orcid":"https://orcid.org/0000-0001-6110-2973","contributorId":189712,"corporation":false,"usgs":true,"family":"Bosse","given":"Stephen","email":"sbosse@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":879520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247436,"text":"70247436 - 2023 - DisasterNet: Causal Bayesian networks with normalizing flows for cascading hazards","interactions":[],"lastModifiedDate":"2023-08-08T13:37:18.248038","indexId":"70247436","displayToPublicDate":"2023-08-04T08:30:10","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"DisasterNet: Causal Bayesian networks with normalizing flows for cascading hazards","docAbstract":"

Sudden-onset hazards like earthquakes often induce cascading secondary hazards (e.g., landslides, liquefaction, debris flows, etc.) and subsequent impacts (e.g., building and infrastructure damage) that cause catastrophic human and economic losses. Rapid and accurate estimates of these hazards and impacts are critical for timely and effective post-disaster responses. Emerging remote sensing techniques provide pre- and post-event satellite images for rapid hazard estimation. However, hazards and damage often co-occur or colocate with underlying complex cascading geophysical processes, making it challenging to directly differentiate multiple hazards and impacts from satellite imagery using existing single-hazard models. We introduce DisasterNet, a novel family of causal Bayesian networks to model processes that a major hazard triggers cascading hazards and impacts and further jointly induces signal changes in remotely sensed observations. We integrate normalizing flows to effectively model the highly complex causal dependencies in this cascading process. A triplet loss is further designed to leverage prior geophysical knowledge to enhance the identifiability of our highly expressive Bayesian networks. Moreover, a novel stochastic variational inference with normalizing flows is derived to jointly approximate posteriors of multiple unobserved hazards and impacts from noisy remote sensing observations. Integrating with the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system, our framework is evaluated in recent global earthquake events. Evaluation results show that DisasterNet significantly improves multiple hazard and impact estimation compared to existing USGS products.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"KDD '23: Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and data mining","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ACM SIGKDD Conference on Knowledge Discovery & Data Mining","conferenceDate":"August 6-10, 2023","conferenceLocation":"Long Beach, CA","language":"English","publisher":"Association for Computing Machinery","doi":"10.1145/3580305.3599807","usgsCitation":"Li, X., Burgi, P.M., Ma, W., Noh, H., Wald, D.J., and Xu, S., 2023, DisasterNet: Causal Bayesian networks with normalizing flows for cascading hazards, in KDD '23: Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and data mining, v. 29, Long Beach, CA, August 6-10, 2023, p. 4391-4403, https://doi.org/10.1145/3580305.3599807.","productDescription":"13 p.","startPage":"4391","endPage":"4403","ipdsId":"IP-149697","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":419595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","noUsgsAuthors":false,"publicationDate":"2023-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Xuechun","contributorId":317874,"corporation":false,"usgs":false,"family":"Li","given":"Xuechun","email":"","affiliations":[{"id":69176,"text":"Stonybrook University","active":true,"usgs":false}],"preferred":false,"id":879620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgi, Paula Madeline 0000-0003-3001-5759","orcid":"https://orcid.org/0000-0003-3001-5759","contributorId":317875,"corporation":false,"usgs":true,"family":"Burgi","given":"Paula","email":"","middleInitial":"Madeline","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Wei","contributorId":317876,"corporation":false,"usgs":false,"family":"Ma","given":"Wei","email":"","affiliations":[{"id":37969,"text":"Hong Kong Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":879622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noh, Haeyoung","contributorId":317877,"corporation":false,"usgs":false,"family":"Noh","given":"Haeyoung","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":879623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879624,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, Susu","contributorId":300127,"corporation":false,"usgs":false,"family":"Xu","given":"Susu","email":"","affiliations":[{"id":65025,"text":"Stony Brook University, NY, USA","active":true,"usgs":false}],"preferred":false,"id":879625,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70247753,"text":"70247753 - 2023 - Assessment of recovery potential for the American horseshoe crab (Limulus polyphemus): An application of the IUCN green status process","interactions":[],"lastModifiedDate":"2023-11-07T15:32:17.216838","indexId":"70247753","displayToPublicDate":"2023-08-04T07:15:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessment of recovery potential for the American horseshoe crab (Limulus polyphemus): An application of the IUCN green status process","title":"Assessment of recovery potential for the American horseshoe crab (Limulus polyphemus): An application of the IUCN green status process","docAbstract":"
  1. According to an International Union for Conservation of Nature (IUCN) Red List assessment (RLA), the American horseshoe crab (Limulus polyphemus), an iconic coastal species, is at risk of extirpation in some regions within its range where small and vulnerable populations occur. However, the RLA does not consider future status beyond viability and does not attempt to identify the conservation necessary to effectively mitigate threats and recover the species to full ecological functionality. To aid in conservation planning for vulnerable species, the IUCN developed the Green Status of Species assessment (GSA) process to complement the RLA.
  2. This paper describes the application of the GSA process to assess the recovery potential of the American horseshoe crab. First, specific Limulus populations within spatial units for conservation were delineated, and their statuses were defined based on viability and ecological functionality. Then conservation actions were identified that would promote recovery and affect their near- and long-term population status under different conservation scenarios.
  3. Horseshoe crab conservation has relied on, and will continue to depend on, effective harvest regulation. However, as currently conceived, conservation is not expected to mitigate habitat loss at the scale required to restore range-wide ecological functionality, primarily because habitat loss is widespread and affected by climate change. Thus, the GSA results, while indicating that there is potential for near-term recovery gains, reveal that long-term recovery is in doubt owing to expected loss of habitat.
  4. To conserve critical habitats for spawning and early life stages and achieve ecological functionality, it is imperative to identify and develop conservation plans at appropriate spatial scales. Unfortunately, such plans do not currently exist and need to be established. The GSA Green Score can then serve as a metric for monitoring recovery and gauging the effectiveness of conservation implementation.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.3990","usgsCitation":"Smith, D.R., Brockmann, H.J., Carmichael, R.H., Hallerman, E., Watson, W., and Zaldivar-Rae, J., 2023, Assessment of recovery potential for the American horseshoe crab (Limulus polyphemus): An application of the IUCN green status process: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 33, no. 11, p. 1175-1199, https://doi.org/10.1002/aqc.3990.","productDescription":"25 p.","startPage":"1175","endPage":"1199","ipdsId":"IP-150297","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":442511,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aqc.3990","text":"Publisher Index Page"},{"id":419881,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":880277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brockmann, H. Jane","contributorId":199472,"corporation":false,"usgs":false,"family":"Brockmann","given":"H.","email":"","middleInitial":"Jane","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":880278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carmichael, Ruth H.","contributorId":23420,"corporation":false,"usgs":false,"family":"Carmichael","given":"Ruth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":880279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hallerman, Eric M.","contributorId":279474,"corporation":false,"usgs":false,"family":"Hallerman","given":"Eric M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":880280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watson, W.M.","contributorId":189601,"corporation":false,"usgs":false,"family":"Watson","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":880281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zaldivar-Rae, Jaime","contributorId":328477,"corporation":false,"usgs":false,"family":"Zaldivar-Rae","given":"Jaime","affiliations":[{"id":78374,"text":"Universidad Anahuc Mayab","active":true,"usgs":false}],"preferred":false,"id":880282,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70247383,"text":"sir20235073 - 2023 - Response in the water quality of Delavan Lake, Wisconsin, to changes in phosphorus loading—Setting new goals for loading from its drainage basin","interactions":[],"lastModifiedDate":"2026-03-12T20:43:24.534885","indexId":"sir20235073","displayToPublicDate":"2023-08-03T14:21:59","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5073","displayTitle":"Response in the Water Quality of Delavan Lake, Wisconsin, to Changes in Phosphorus Loading—Setting New Goals for Loading from its Drainage Basin","title":"Response in the water quality of Delavan Lake, Wisconsin, to changes in phosphorus loading—Setting new goals for loading from its drainage basin","docAbstract":"

During 1989–92, an extensive rehabilitation project was completed in and around Delavan Lake, Wisconsin, to improve the lake’s water quality. However, in 2016, the lake was listed by the Wisconsin Department of Natural Resources as impaired for excessive algal growth (high chlorophyll a concentrations), and high phosphorus input was listed as its likely cause. In addition, the recent (2017–21) mean summer water clarity (as measured with a Secchi disk) was shallower than the goal set by the community (3.0 meters). Based primarily on flow and water-quality data collected in Jackson Creek, which is the main tributary of the lake, the mean annual phosphorus loading to the lake during water years (WYs) 2017–21 was 6,570 kilograms per year (kg/yr), and 306 kg/yr came from uncontrollable sources (atmospheric deposition and groundwater). Phosphorus loading during these years was about 48 percent higher than the long-term mean loading from WY 1984 to WY 2021. Based on results from Canfield-Bachmann phosphorus models, Carlson trophic state index relations, and the Jones and Bachmann chlorophyll a relation, external phosphorus loading would need to be decreased from 6,570 to 5,270 kg/yr (a 21-percent reduction in the potentially controllable external phosphorus load from the base period of WYs 2017–21) for chlorophyll a concentrations greater than 20 micrograms per liter to be detected no more than 5.0 percent of the time (the Wisconsin Department of Natural Resources criterion for chlorophyll a impairment for the lake). Based on Carlson trophic state index relations, external loading would need to be decreased from 6,570 to 4,380 kg/yr (a 35-percent reduction in the potentially controllable external phosphorus load) for summer mean Secchi depths to increase to 3.0 meters. Therefore, for Delavan Lake to reach the water-quality criteria for impairment and the goals for all three water-quality constituents, a 35-percent reduction in the potentially controllable phosphorus load is needed, which equates to a reduction in total phosphorus loading from 6,570 to 4,380 kg/yr. A 35-percent reduction in phosphorus loading to improve the water quality of Delavan Lake is less than the 49-percent reduction in phosphorus loading required for the area near Delavan Lake to improve the water quality of the Rock River and its tributaries indicated in the Rock River total maximum daily load.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235073","collaboration":"Prepared in cooperation with the Town of Delavan and the Delavan Lake Sanitary District","usgsCitation":"Robertson, D.M., Siebers, B.J., and Fredrick, R.A., 2023, Response in the water quality of Delavan Lake, Wisconsin, to changes in phosphorus loading—Setting new goals for loading from its drainage basin: U.S. Geological Survey Scientific Investigations Report 2023–5073, 28 p., https://doi.org/10.3133/sir20235073.","productDescription":"Report: viii, 28 p.; Data Release; Dataset","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-148703","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501038,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115123.htm","linkFileType":{"id":5,"text":"html"}},{"id":419534,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235073/full","text":"Report"},{"id":419467,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":419466,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H85BK0","text":"USGS data release","linkHelpText":"Eutrophication models to simulate changes in the water quality of Green Lake, Wisconsin in response to changes in phosphorus loading, with supporting water-quality data for the lake, its tributaries, and atmospheric deposition"},{"id":419465,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5073/images/"},{"id":419464,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5073/sir20235073.XML","linkFileType":{"id":8,"text":"xml"}},{"id":419463,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5073/sir20235073.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5073"},{"id":419462,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5073/coverthb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Delavan Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.69602097806326,\n 42.574403384923556\n ],\n [\n -88.52306051926304,\n 42.574403384923556\n ],\n [\n -88.52306051926304,\n 42.66531414833537\n ],\n [\n -88.69602097806326,\n 42.66531414833537\n ],\n [\n -88.69602097806326,\n 42.574403384923556\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Upper Midwest Water Science Center
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-08-03","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siebers, Benjamin J. 0000-0002-2900-5169","orcid":"https://orcid.org/0000-0002-2900-5169","contributorId":206518,"corporation":false,"usgs":true,"family":"Siebers","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fredrick, Reed A. 0000-0002-7771-0655","orcid":"https://orcid.org/0000-0002-7771-0655","contributorId":317831,"corporation":false,"usgs":true,"family":"Fredrick","given":"Reed","email":"","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247410,"text":"sim3500 - 2023 - Estimating streambed hydraulic conductivity for selected streams in the Mississippi Alluvial Plain using continuous resistivity profiling methods—Delta region","interactions":[],"lastModifiedDate":"2026-02-19T17:47:47.386574","indexId":"sim3500","displayToPublicDate":"2023-08-03T11:07:12","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3500","displayTitle":"Estimating Streambed Hydraulic Conductivity for Selected Streams in the Mississippi Alluvial Plain Using Continuous Resistivity Profiling Methods—Delta Region","title":"Estimating streambed hydraulic conductivity for selected streams in the Mississippi Alluvial Plain using continuous resistivity profiling methods—Delta region","docAbstract":"

Introduction

 The Mississippi Alluvial Plain is one of the most important agricultural regions in the United States, and crop productivity relies on groundwater irrigation from an aquifer system whose full capacity is unknown. Groundwater withdrawals from the Mississippi River Valley alluvial aquifer have resulted in substantial groundwater-level declines and reductions in base flow in streams within the Mississippi Alluvial Plain. These effects are limiting well production and threatening future water availability in the region.

A comprehensive assessment of water availability in the Mississippi Alluvial Plain is critically important for making well-informed management decisions about sustainability, establishing best practices for water use, and predicting changes to water levels in the Mississippi Alluvial Plain over the next 50–100 years. The first step in the new regional modeling effort was to run the existing Mississippi Embayment Regional Aquifer Study (MERAS) model and perform data-worth and uncertainty analyses to prioritize data collection efforts to improve model forecasts. Parameter estimation indicated that streambed conductance was one of the variables that the model was most sensitive to, but little data were available to constrain those general estimates.

From this characterization of the existing data, a map of the streams that the MERAS model was most sensitive to was created by the U.S. Geological Survey to guide the collection of 862 kilometers of waterborne resistivity surveys within the Delta region of Mississippi to characterize streambed lithology. This technique characterizes the streambed itself and the 15–30 meters below the streambed that control the exchange of water between the stream and the alluvial aquifer. These data can be used to map changes in the lithology of the streambed and identify areas of potential groundwater/surface-water exchange. Additionally, electrical and nuclear well logs from the study area were compared to facilitate the development of a petrophysical relation between the waterborne resistivity data and hydraulic conductivity. Resistivity values may then be used as a cost-effective way to approximate aquifer hydraulic conductivity distributions for use in regional groundwater models.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3500","issn":"2329-132X","collaboration":"Prepared in cooperation with the Arkansas Department of Health, Arkansas Game and Fish Commission, Delta Council, Delta FARM, Delta Sustainable Water Resources Task Force, Delta Wildlife HydroGeophysics Group, Aarhus University, Mississippi Department of Environmental Quality, Mississippi State University, Missouri Department of Natural Resources, The Nature Conservancy, U.S. Army Corps of Engineers, U.S. Department of Agriculture-Agricultural Research Service, University of Arkansas, University of Mississippi, Yazoo Mississippi Delta Joint Water Management District","usgsCitation":"Adams, R.F., Miller, B.V., Kress, W.H., Minsley, B.J., and Rigby, J.R., 2023, Estimating streambed hydraulic conductivity for selected streams in the Mississippi Alluvial Plain using continuous resistivity profiling methods—Delta region: U.S. Geological Survey Scientific Investigations Map 3500, 2 sheets, https://doi.org/10.3133/sim3500.","productDescription":"2 Sheets: 45.00 x 34.25 inches and 45.00 x 34.55 inches","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-115128","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":419523,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WQPRFB","text":"USGS—Waterborne resistivity inverted models, Mississippi Alluvial Plain, 2016–2018"},{"id":419522,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3500/sim3500_sheet2.pdf","size":"14.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3500 sheet 2"},{"id":419521,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3500/sim3500_sheet1.pdf","size":"15.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3500 sheet 1"},{"id":419520,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3500/coverthb.jpg"},{"id":500206,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115125.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arkansas, Louisiana, Mississippi","otherGeospatial":"Mississippi Alluvial Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90,\n 35\n ],\n [\n -91.25,\n 35\n ],\n [\n -91.25,\n 31\n ],\n [\n -90,\n 31\n ],\n [\n -90,\n 35\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

For more information about this publication, contact
Director, Lower Mississippi-Gulf Water Science Center

U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211

For additional information, visit
https://www.usgs.gov/centers/lmg-water/

Contact Pubs Warehouse
","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-08-03","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Ryan F. 0000-0001-7299-329X rfadams@usgs.gov","orcid":"https://orcid.org/0000-0001-7299-329X","contributorId":5499,"corporation":false,"usgs":true,"family":"Adams","given":"Ryan","email":"rfadams@usgs.gov","middleInitial":"F.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Benjamin 0000-0003-4795-3442 bvmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-4795-3442","contributorId":197345,"corporation":false,"usgs":true,"family":"Miller","given":"Benjamin","email":"bvmiller@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kress, Wade H. 0000-0002-6833-028X wkress@usgs.gov","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":1576,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"wkress@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":879483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rigby, James R. 0000-0002-5611-6307","orcid":"https://orcid.org/0000-0002-5611-6307","contributorId":196374,"corporation":false,"usgs":false,"family":"Rigby","given":"James R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":879484,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247720,"text":"70247720 - 2023 - Boreal conifers maintain carbon uptake with warming despite failure to track optimal temperatures","interactions":[],"lastModifiedDate":"2023-08-15T14:39:47.522861","indexId":"70247720","displayToPublicDate":"2023-08-03T09:36:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16683,"text":"Nature Communciations","active":true,"publicationSubtype":{"id":10}},"title":"Boreal conifers maintain carbon uptake with warming despite failure to track optimal temperatures","docAbstract":"

Warming shifts the thermal optimum of net photosynthesis (ToptA) to higher temperatures. However, our knowledge of this shift is mainly derived from seedlings grown in greenhouses under ambient atmospheric carbon dioxide (CO2) conditions. It is unclear whether shifts in ToptA of field-grown trees will keep pace with the temperatures predicted for the 21st century under elevated atmospheric CO2 concentrations. Here, using a whole-ecosystem warming controlled experiment under either ambient or elevated CO2 levels, we show that ToptA of mature boreal conifers increased with warming. However, shifts in ToptA did not keep pace with warming as ToptA only increased by 0.26–0.35 °C per 1 °C of warming. Net photosynthetic rates estimated at the mean growth temperature increased with warming in elevated CO2 spruce, while remaining constant in ambient CO2 spruce and in both ambient CO2 and elevated CO2 tamarack with warming. Although shifts in ToptA of these two species are insufficient to keep pace with warming, these boreal conifers can thermally acclimate photosynthesis to maintain carbon uptake in future air temperatures.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-40248-3","usgsCitation":"Dusenge, M.E., Warren, J.M., Reich, P.B., Ward, E., Murphy, B.K., Stefanski, A., Bermudez, R., Cruz, M., McLennan, D.A., King, A.W., Montgomery, R.A., Hanson, P.J., and Way, D.A., 2023, Boreal conifers maintain carbon uptake with warming despite failure to track optimal temperatures: Nature Communciations, v. 14, 4667, 11 p., https://doi.org/10.1038/s41467-023-40248-3.","productDescription":"4667, 11 p.","ipdsId":"IP-152684","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":442513,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-40248-3","text":"Publisher Index Page"},{"id":419816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Dusenge, Mirindi E.","contributorId":299727,"corporation":false,"usgs":false,"family":"Dusenge","given":"Mirindi","email":"","middleInitial":"E.","affiliations":[{"id":13224,"text":"The University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":880153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Jeffery M.","contributorId":328428,"corporation":false,"usgs":false,"family":"Warren","given":"Jeffery","email":"","middleInitial":"M.","affiliations":[{"id":40642,"text":"Oak Ridge National Lab","active":true,"usgs":false}],"preferred":false,"id":880154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reich, Peter B.","contributorId":202370,"corporation":false,"usgs":false,"family":"Reich","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":36398,"text":"Department of Forest Resources, University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":880155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":167035,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Bridget K.","contributorId":328429,"corporation":false,"usgs":false,"family":"Murphy","given":"Bridget","email":"","middleInitial":"K.","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":880157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stefanski, Artur","contributorId":328430,"corporation":false,"usgs":false,"family":"Stefanski","given":"Artur","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":880158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bermudez, Raimundo","contributorId":328431,"corporation":false,"usgs":false,"family":"Bermudez","given":"Raimundo","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":880159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cruz, Marisol","contributorId":328432,"corporation":false,"usgs":false,"family":"Cruz","given":"Marisol","email":"","affiliations":[{"id":27537,"text":"Universidad de los Andes","active":true,"usgs":false}],"preferred":false,"id":880160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McLennan, David A.","contributorId":328433,"corporation":false,"usgs":false,"family":"McLennan","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":40642,"text":"Oak Ridge National Lab","active":true,"usgs":false}],"preferred":false,"id":880161,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"King, Anthony W.","contributorId":328436,"corporation":false,"usgs":false,"family":"King","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":40642,"text":"Oak Ridge National Lab","active":true,"usgs":false}],"preferred":false,"id":880162,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Montgomery, Rebecca A.","contributorId":328437,"corporation":false,"usgs":false,"family":"Montgomery","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":880163,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hanson, Paul J.","contributorId":299729,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"J.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":880164,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Way, Danielle A.","contributorId":199465,"corporation":false,"usgs":false,"family":"Way","given":"Danielle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":880165,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70258173,"text":"70258173 - 2023 - Urban stream restorations increase floodplain soil carbon and nutrient retention along a chronosequence","interactions":[],"lastModifiedDate":"2024-09-06T14:28:58.738211","indexId":"70258173","displayToPublicDate":"2023-08-03T09:24:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Urban stream restorations increase floodplain soil carbon and nutrient retention along a chronosequence","docAbstract":"

Stream restoration is a common management practice to meet regulatory or voluntary efforts to improve water quality via nutrient and carbon (C) retention, including in the Chesapeake Bay watershed. However, most restoration projects have few quantifiable measures of project success, no standard metrics, and rarely collect pre-restoration data. Storage of nutrients, such as phosphorus (P) and nitrogen (N), in floodplain soils of restored streams can act as an easily quantifiable indicator of restoration success, particularly when the project goals include improved water quality. To determine how floodplains of restored streams change in their P and C storage as time since restoration increases, floodplain surficial soil samples (10 cm depth) were collected from 18 streams in the urbanized Piedmont region of northern Virginia, representing a chronosequence of time (1–10+ yrs.) since restoration as well as unrestored streams with high impervious surface cover (ISC) and unrestored streams with low ISC. The samples were analyzed for total carbon (TC), total nitrogen (TN) and total phosphorus (TP) storage, whereas C turnover rate and equilibrium phosphorus concentration (EPC0) were measured as metrics of C and P loss. These metrics were compared to time since restoration and potential environmental drivers, including soil moisture, pH, median particle size (D50), organic matter content (OM), and bioavailable P, iron (Fe), and aluminum (Al). These stream restorations demonstrated increasing nutrient storage for TC, TN, and TP along the chronosequence to values greater than both unrestored or reference streams, as well as decreasing C turnover and no significant changes in EPC0. Soil wetness and OM, key drivers in nutrient retention, also increased as restoration projects aged increasing C, N, and P storage. Overall, stream restoration did improve soil C, N, and P retention in floodplains as compared to unrestored sites and exceeded those of low ISC ‘reference’ sites.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2023.107063","usgsCitation":"Napora, K.N., Noe, G.E., Ahn, C., and Fellows, M.Q., 2023, Urban stream restorations increase floodplain soil carbon and nutrient retention along a chronosequence: Ecological Engineering, v. 195, 107063, 12 p., https://doi.org/10.1016/j.ecoleng.2023.107063.","productDescription":"107063, 12 p.","ipdsId":"IP-148353","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":442515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2023.107063","text":"Publisher Index Page"},{"id":433549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.1702,38.9682],[-77.1624,38.9678],[-77.16,38.9678],[-77.1553,38.9674],[-77.1548,38.9674],[-77.1488,38.9646],[-77.1472,38.9636],[-77.1455,38.9622],[-77.1413,38.9584],[-77.1409,38.958],[-77.1361,38.9523],[-77.1352,38.9507],[-77.1343,38.9488],[-77.1341,38.9482],[-77.1323,38.9455],[-77.1308,38.9438],[-77.1294,38.9423],[-77.1279,38.9411],[-77.1258,38.9391],[-77.1234,38.9365],[-77.1229,38.936],[-77.1253,38.9296],[-77.1277,38.9279],[-77.1611,38.9018],[-77.172,38.8934],[-77.1891,38.896],[-77.1916,38.891],[-77.1941,38.8861],[-77.1896,38.8783],[-77.1878,38.8787],[-77.1807,38.8795],[-77.1778,38.8794],[-77.1736,38.8789],[-77.1631,38.8751],[-77.1579,38.8731],[-77.1549,38.8726],[-77.1537,38.8731],[-77.1531,38.8731],[-77.1519,38.8735],[-77.1502,38.8735],[-77.1496,38.8739],[-77.1495,38.8757],[-77.1104,38.8437],[-77.1277,38.8372],[-77.1416,38.827],[-77.1423,38.8239],[-77.1432,38.8148],[-77.1445,38.8103],[-77.139,38.798],[-77.1153,38.8021],[-77.084,38.801],[-77.0723,38.7971],[-77.0618,38.7947],[-77.0554,38.7921],[-77.0556,38.792],[-77.0523,38.7886],[-77.0523,38.7876],[-77.0529,38.787],[-77.0535,38.7862],[-77.0537,38.7837],[-77.0533,38.7827],[-77.0503,38.7797],[-77.0495,38.7787],[-77.049,38.7784],[-77.0479,38.7766],[-77.0482,38.7763],[-77.0492,38.7714],[-77.0489,38.7717],[-77.0486,38.7717],[-77.0481,38.7711],[-77.0481,38.7717],[-77.0478,38.7725],[-77.0478,38.7728],[-77.0481,38.7731],[-77.0475,38.7733],[-77.0461,38.7733],[-77.0444,38.7717],[-77.0444,38.7711],[-77.0453,38.7703],[-77.0456,38.7703],[-77.0458,38.77],[-77.0461,38.77],[-77.0467,38.7694],[-77.0472,38.7694],[-77.0475,38.7692],[-77.0481,38.7692],[-77.0483,38.7694],[-77.0486,38.7692],[-77.0492,38.7689],[-77.0489,38.7686],[-77.0486,38.7687],[-77.0481,38.7683],[-77.0471,38.7668],[-77.0471,38.7655],[-77.0475,38.7625],[-77.0469,38.7619],[-77.0469,38.7617],[-77.0467,38.7608],[-77.0469,38.7606],[-77.0469,38.76],[-77.0472,38.7597],[-77.0475,38.7597],[-77.0481,38.7592],[-77.0483,38.7592],[-77.0467,38.7579],[-77.0464,38.7571],[-77.0474,38.7549],[-77.0472,38.7544],[-77.0459,38.7526],[-77.0461,38.7521],[-77.0466,38.7517],[-77.0476,38.7508],[-77.0475,38.7504],[-77.0472,38.7494],[-77.0434,38.7444],[-77.0423,38.741],[-77.0431,38.7388],[-77.0428,38.7384],[-77.042,38.7368],[-77.0414,38.7304],[-77.0416,38.7274],[-77.0416,38.7267],[-77.0417,38.725],[-77.0426,38.7206],[-77.0445,38.7168],[-77.0459,38.7149],[-77.0526,38.7105],[-77.064,38.7099],[-77.0646,38.71],[-77.0657,38.7102],[-77.0669,38.71],[-77.0675,38.71],[-77.0692,38.7099],[-77.0728,38.7106],[-77.0733,38.7106],[-77.0742,38.7114],[-77.0739,38.7117],[-77.0747,38.7125],[-77.075,38.7125],[-77.0753,38.7128],[-77.0764,38.7128],[-77.0767,38.7129],[-77.0792,38.7125],[-77.0803,38.7087],[-77.0807,38.7084],[-77.0851,38.7066],[-77.0993,38.6985],[-77.1015,38.6981],[-77.1041,38.6976],[-77.107,38.6975],[-77.109,38.6976],[-77.1097,38.6977],[-77.111,38.6981],[-77.117,38.6995],[-77.1177,38.6997],[-77.1191,38.7001],[-77.1197,38.7005],[-77.12,38.7011],[-77.121,38.7029],[-77.1215,38.7033],[-77.1221,38.7036],[-77.1231,38.7043],[-77.1238,38.7051],[-77.1244,38.7053],[-77.1251,38.7053],[-77.129,38.7052],[-77.1296,38.7048],[-77.1299,38.7043],[-77.1299,38.7038],[-77.1297,38.7033],[-77.1289,38.7025],[-77.1275,38.7014],[-77.1273,38.7008],[-77.1269,38.6995],[-77.126,38.6985],[-77.125,38.6974],[-77.1232,38.6936],[-77.1228,38.6915],[-77.1224,38.6901],[-77.1222,38.687],[-77.1222,38.6864],[-77.1329,38.6739],[-77.135,38.6734],[-77.1365,38.6731],[-77.1369,38.6732],[-77.1382,38.6737],[-77.1391,38.6736],[-77.1398,38.6724],[-77.1441,38.6753],[-77.1452,38.676],[-77.1481,38.6776],[-77.1487,38.6778],[-77.153,38.6791],[-77.1536,38.6794],[-77.1538,38.6798],[-77.1535,38.6802],[-77.1532,38.6816],[-77.1537,38.6819],[-77.1545,38.6818],[-77.1551,38.6816],[-77.1557,38.6816],[-77.1562,38.6819],[-77.1568,38.6839],[-77.1566,38.6844],[-77.1552,38.6857],[-77.1536,38.6883],[-77.1553,38.6908],[-77.156,38.6915],[-77.1594,38.6917],[-77.16,38.6911],[-77.16,38.6906],[-77.1611,38.6894],[-77.1614,38.6894],[-77.1622,38.6892],[-77.1628,38.6886],[-77.1631,38.6886],[-77.1633,38.688],[-77.1636,38.6867],[-77.1638,38.6853],[-77.1641,38.6848],[-77.1649,38.6841],[-77.1655,38.6843],[-77.1656,38.6845],[-77.1671,38.6856],[-77.1677,38.6855],[-77.169,38.685],[-77.1697,38.6848],[-77.1712,38.6844],[-77.1732,38.6842],[-77.1764,38.6847],[-77.1779,38.6849],[-77.1795,38.6841],[-77.1822,38.6842],[-77.1831,38.6842],[-77.1833,38.6839],[-77.1836,38.6839],[-77.1842,38.6844],[-77.185,38.6844],[-77.1853,38.6842],[-77.1858,38.6839],[-77.1861,38.6839],[-77.1864,38.6836],[-77.1883,38.6831],[-77.1889,38.6825],[-77.1889,38.6822],[-77.1878,38.6811],[-77.1872,38.6811],[-77.1869,38.6808],[-77.1864,38.6808],[-77.1861,38.6806],[-77.1853,38.6806],[-77.185,38.6803],[-77.1847,38.6803],[-77.1844,38.68],[-77.1828,38.6803],[-77.1825,38.68],[-77.1822,38.68],[-77.1819,38.6803],[-77.1811,38.68],[-77.1772,38.6788],[-77.1763,38.6787],[-77.1737,38.6794],[-77.1674,38.6758],[-77.1624,38.6712],[-77.1582,38.6702],[-77.1578,38.6698],[-77.1571,38.6689],[-77.1566,38.6686],[-77.1555,38.6681],[-77.1515,38.6664],[-77.1509,38.6662],[-77.15,38.6653],[-77.1498,38.6647],[-77.1497,38.664],[-77.149,38.6572],[-77.1485,38.657],[-77.1478,38.6569],[-77.1465,38.6567],[-77.1459,38.6564],[-77.1452,38.6563],[-77.1446,38.656],[-77.1431,38.6549],[-77.1406,38.6523],[-77.1395,38.6518],[-77.1372,38.6506],[-77.1362,38.6489],[-77.1358,38.647],[-77.1354,38.6465],[-77.1349,38.6461],[-77.1343,38.6458],[-77.1334,38.6452],[-77.133,38.6423],[-77.1313,38.6384],[-77.1308,38.6369],[-77.1307,38.6359],[-77.1311,38.6354],[-77.1318,38.6351],[-77.1348,38.6351],[-77.137,38.6353],[-77.1389,38.6351],[-77.1413,38.6355],[-77.143,38.6357],[-77.1497,38.6352],[-77.1519,38.6355],[-77.1541,38.6358],[-77.1572,38.6367],[-77.1575,38.6369],[-77.1581,38.6372],[-77.1583,38.6369],[-77.1586,38.6369],[-77.1594,38.6361],[-77.1597,38.6361],[-77.1608,38.635],[-77.1611,38.635],[-77.1617,38.6344],[-77.1619,38.6344],[-77.1625,38.6331],[-77.1628,38.6331],[-77.1636,38.6322],[-77.1636,38.6308],[-77.1633,38.6306],[-77.1636,38.6303],[-77.1639,38.6303],[-77.1639,38.63],[-77.1661,38.6278],[-77.1665,38.6278],[-77.1665,38.6275],[-77.1764,38.6239],[-77.1808,38.6226],[-77.1813,38.6223],[-77.1824,38.6219],[-77.1837,38.6217],[-77.1857,38.6214],[-77.1864,38.6213],[-77.187,38.6211],[-77.1901,38.6198],[-77.1908,38.6195],[-77.1915,38.6194],[-77.193,38.6194],[-77.1986,38.6192],[-77.2005,38.6186],[-77.2021,38.6177],[-77.2027,38.6178],[-77.2038,38.6184],[-77.2048,38.6199],[-77.2049,38.6212],[-77.2043,38.6239],[-77.2047,38.6243],[-77.205,38.6248],[-77.2062,38.6267],[-77.208,38.628],[-77.2108,38.6302],[-77.213,38.6328],[-77.2139,38.6356],[-77.2139,38.6361],[-77.2144,38.6367],[-77.2147,38.6367],[-77.2151,38.637],[-77.215,38.6375],[-77.2147,38.6375],[-77.2144,38.6378],[-77.2128,38.6375],[-77.2117,38.6375],[-77.211,38.6374],[-77.2009,38.6418],[-77.1935,38.649],[-77.1905,38.6487],[-77.1894,38.6493],[-77.1888,38.6496],[-77.1882,38.6497],[-77.1875,38.6496],[-77.1844,38.6494],[-77.1814,38.6491],[-77.181,38.6506],[-77.1838,38.6511],[-77.1877,38.6514],[-77.1889,38.6516],[-77.1894,38.6514],[-77.192,38.6506],[-77.193,38.6508],[-77.1934,38.6512],[-77.1937,38.6517],[-77.1938,38.6522],[-77.1945,38.6537],[-77.1954,38.6544],[-77.1963,38.6551],[-77.199,38.657],[-77.2029,38.6586],[-77.2125,38.6567],[-77.2128,38.6564],[-77.2139,38.6564],[-77.2142,38.6567],[-77.2144,38.6564],[-77.2147,38.6564],[-77.215,38.6567],[-77.2156,38.6567],[-77.2169,38.6569],[-77.2172,38.6572],[-77.2175,38.6572],[-77.2209,38.6578],[-77.2214,38.6578],[-77.2235,38.658],[-77.224,38.6587],[-77.2238,38.659],[-77.2215,38.6612],[-77.2214,38.6618],[-77.2211,38.6624],[-77.221,38.663],[-77.2198,38.6666],[-77.2203,38.667],[-77.221,38.6671],[-77.2215,38.6668],[-77.2219,38.6662],[-77.224,38.6626],[-77.2254,38.6611],[-77.226,38.6608],[-77.2273,38.6607],[-77.2279,38.6609],[-77.2284,38.6613],[-77.229,38.6615],[-77.231,38.662],[-77.2316,38.6624],[-77.2322,38.6626],[-77.2333,38.6631],[-77.2339,38.6632],[-77.2358,38.6636],[-77.2362,38.664],[-77.2364,38.6645],[-77.2369,38.6654],[-77.2383,38.6665],[-77.2391,38.6671],[-77.2406,38.6689],[-77.2406,38.6692],[-77.2414,38.67],[-77.2446,38.6724],[-77.2489,38.6747],[-77.2492,38.6747],[-77.2494,38.675],[-77.2522,38.6792],[-77.2522,38.6794],[-77.2533,38.6806],[-77.2536,38.6806],[-77.2542,38.6811],[-77.2542,38.6814],[-77.2569,38.6842],[-77.2572,38.6839],[-77.2575,38.6839],[-77.2578,38.6836],[-77.2578,38.6833],[-77.2581,38.6831],[-77.2581,38.6828],[-77.2578,38.6828],[-77.2564,38.6814],[-77.2564,38.6811],[-77.2553,38.68],[-77.2547,38.68],[-77.2544,38.6797],[-77.252,38.676],[-77.2508,38.6744],[-77.2508,38.6742],[-77.2503,38.6733],[-77.2494,38.6728],[-77.2481,38.6731],[-77.2478,38.6728],[-77.2478,38.6722],[-77.2475,38.6719],[-77.245,38.6708],[-77.2447,38.6706],[-77.2436,38.6697],[-77.2433,38.6697],[-77.2431,38.6694],[-77.2428,38.6694],[-77.2417,38.6683],[-77.24,38.6664],[-77.24,38.6661],[-77.2397,38.6658],[-77.2394,38.665],[-77.2396,38.6643],[-77.2398,38.6638],[-77.244,38.6689],[-77.2498,38.6717],[-77.2527,38.6745],[-77.2549,38.6786],[-77.2659,38.6847],[-77.2728,38.6903],[-77.2786,38.6931],[-77.3018,38.7058],[-77.3077,38.7059],[-77.3137,38.7024],[-77.3256,38.7003],[-77.3291,38.7031],[-77.3242,38.7089],[-77.3247,38.7112],[-77.3323,38.7131],[-77.3316,38.7158],[-77.341,38.7183],[-77.355,38.723],[-77.3597,38.7236],[-77.3641,38.7164],[-77.3678,38.7106],[-77.373,38.7111],[-77.3777,38.7144],[-77.3828,38.7212],[-77.3796,38.7294],[-77.3801,38.7343],[-77.3853,38.7376],[-77.391,38.744],[-77.3944,38.7491],[-77.3985,38.751],[-77.4037,38.7524],[-77.4067,38.7507],[-77.4062,38.7484],[-77.4081,38.7453],[-77.411,38.7439],[-77.4128,38.7458],[-77.4126,38.7503],[-77.4101,38.7553],[-77.4147,38.7594],[-77.4176,38.7626],[-77.4134,38.7653],[-77.4162,38.7685],[-77.4173,38.7735],[-77.4219,38.7772],[-77.4271,38.7796],[-77.4307,38.7805],[-77.4341,38.7856],[-77.4357,38.7897],[-77.4379,38.7952],[-77.4402,38.7997],[-77.4442,38.8021],[-77.4495,38.8017],[-77.455,38.7986],[-77.4645,38.7956],[-77.4651,38.7956],[-77.4781,38.7963],[-77.484,38.7941],[-77.4887,38.7946],[-77.4922,38.797],[-77.4927,38.8015],[-77.4896,38.8046],[-77.4895,38.8083],[-77.4912,38.8101],[-77.4924,38.8115],[-77.5018,38.8143],[-77.5046,38.8171],[-77.5039,38.8248],[-77.5055,38.8271],[-77.5084,38.8317],[-77.5083,38.8344],[-77.5064,38.8385],[-77.5081,38.8407],[-77.52,38.8378],[-77.5271,38.8379],[-77.5324,38.8389],[-77.5347,38.8416],[-77.5358,38.8457],[-77.5369,38.8475],[-77.4747,38.9155],[-77.4705,38.9204],[-77.4291,38.9609],[-77.3273,39.0611],[-77.3267,39.061],[-77.3202,39.0593],[-77.3114,39.0564],[-77.3064,39.055],[-77.3048,39.0546],[-77.2989,39.0524],[-77.2944,39.0502],[-77.2891,39.0467],[-77.2829,39.0424],[-77.2787,39.0397],[-77.2746,39.037],[-77.2741,39.0367],[-77.2706,39.0348],[-77.2676,39.0342],[-77.2635,39.0333],[-77.2598,39.0324],[-77.2551,39.031],[-77.2508,39.0295],[-77.2483,39.0281],[-77.2457,39.026],[-77.2433,39.0233],[-77.2426,39.0198],[-77.2427,39.0175],[-77.2433,39.0148],[-77.245,39.0124],[-77.2463,39.0093],[-77.2471,39.0067],[-77.2478,39.0058],[-77.2485,39.0027],[-77.2489,39.0007],[-77.2493,38.9966],[-77.2482,38.9918],[-77.2447,38.9868],[-77.2401,38.9839],[-77.2345,38.9798],[-77.2271,38.9767],[-77.2257,38.9761],[-77.2235,38.9757],[-77.2203,38.9754],[-77.2161,38.9753],[-77.2114,38.9748],[-77.2073,38.9738],[-77.205,38.9729],[-77.2008,38.9711],[-77.1949,38.9692],[-77.192,38.9688],[-77.1902,38.9685],[-77.1885,38.9685],[-77.1731,38.9682],[-77.1702,38.9682]]]},\"properties\":{\"name\":\"Fairfax\",\"state\":\"VA\"}}]}","volume":"195","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Napora, Katrina Nicole 0000-0002-1837-4292","orcid":"https://orcid.org/0000-0002-1837-4292","contributorId":305723,"corporation":false,"usgs":true,"family":"Napora","given":"Katrina","email":"","middleInitial":"Nicole","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":912477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":912478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahn, Changwoo","contributorId":191303,"corporation":false,"usgs":false,"family":"Ahn","given":"Changwoo","email":"","affiliations":[],"preferred":false,"id":912479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fellows, Meghan Q.N.","contributorId":343963,"corporation":false,"usgs":false,"family":"Fellows","given":"Meghan","email":"","middleInitial":"Q.N.","affiliations":[{"id":82267,"text":"Fairfax County DWPES; Delaware Center for the Inland Bays","active":true,"usgs":false}],"preferred":false,"id":912480,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70247954,"text":"70247954 - 2023 - Scaling microseismic cloud shape during hydraulic stimulation using in-situ stress and permeability","interactions":[],"lastModifiedDate":"2023-08-29T14:00:46.383677","indexId":"70247954","displayToPublicDate":"2023-08-03T08:54:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Scaling microseismic cloud shape during hydraulic stimulation using in-situ stress and permeability","docAbstract":"

Forecasting microseismic cloud shape as a proxy of stimulated rock volume may improve the design of an energy extraction system. The microseismic cloud created during hydraulic stimulation of geothermal reservoirs is known empirically to extend in the general direction of the maximum principal stress. However, this empirical relationship is often inconsistent with reported results, and the cloud growth process remains poorly understood. This study investigates microseismic cloud growth using data obtained from a hydraulic stimulation project in Basel, Switzerland, and explores its correlation with measured in situ stress. We applied principal component analysis to a time series of microseismicity for macroscopic characterization of microseismic cloud growth in two- and three-dimensional space. The microseismic cloud, in addition to extending in the general direction of maximum principal stress, expanded in the direction of intermediate principal stress. The orientation of the least microseismic cloud growth was stable and almost identical to the minimum principal stress direction. Further, microseismic cloud shape ratios showed good agreement when compared with in situ stress magnitude ratios. The permeability tensor estimated from microseismicity also provided a good correlation in terms of direction and magnitude with the microseismic cloud growth. We show that in situ stress plays a dominant role by controlling the permeability of each existing fracture in the reservoir fracture system. Consequently, microseismic cloud growth can be scaled by in situ stress as a first-order approximation if there is sufficient variation in the orientation of existing faults.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB026839","usgsCitation":"Mukuhira, Y., Yang, M., Ishibashi, T., Okamoto, K., Moriya, H., Kumano, Y., Asanuma, H., Shapiro, S., Rubinstein, J., Ito, T., Yan, K., and Zuo, Y., 2023, Scaling microseismic cloud shape during hydraulic stimulation using in-situ stress and permeability: JGR Solid Earth, v. 128, no. 8, e2023JB026839, 22 p., https://doi.org/10.1029/2023JB026839.","productDescription":"e2023JB026839, 22 p.","ipdsId":"IP-125506","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":442518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jb026839","text":"Publisher Index Page"},{"id":420234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland","city":"Basel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 7.540327928882107,\n 47.62\n ],\n [\n 7.541369472820975,\n 47.54\n ],\n [\n 7.68,\n 47.54\n ],\n [\n 7.68,\n 47.62\n ],\n [\n 7.540327928882107,\n 47.62\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Mukuhira, Y.","contributorId":328759,"corporation":false,"usgs":false,"family":"Mukuhira","given":"Y.","email":"","affiliations":[{"id":36517,"text":"Tohoku University","active":true,"usgs":false}],"preferred":false,"id":881218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, M.","contributorId":328760,"corporation":false,"usgs":false,"family":"Yang","given":"M.","email":"","affiliations":[{"id":36517,"text":"Tohoku University","active":true,"usgs":false}],"preferred":false,"id":881219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ishibashi, T.","contributorId":328761,"corporation":false,"usgs":false,"family":"Ishibashi","given":"T.","email":"","affiliations":[{"id":40273,"text":"National Institute of Advanced Industrial Science and Technology","active":true,"usgs":false}],"preferred":false,"id":881220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Okamoto, K.","contributorId":328762,"corporation":false,"usgs":false,"family":"Okamoto","given":"K.","email":"","affiliations":[{"id":40273,"text":"National Institute of Advanced Industrial Science and Technology","active":true,"usgs":false}],"preferred":false,"id":881221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moriya, H.","contributorId":328763,"corporation":false,"usgs":false,"family":"Moriya","given":"H.","email":"","affiliations":[{"id":36517,"text":"Tohoku University","active":true,"usgs":false}],"preferred":false,"id":881222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kumano, Y.","contributorId":328764,"corporation":false,"usgs":false,"family":"Kumano","given":"Y.","email":"","affiliations":[{"id":78484,"text":"JAPEX","active":true,"usgs":false}],"preferred":false,"id":881223,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Asanuma, H.","contributorId":328765,"corporation":false,"usgs":false,"family":"Asanuma","given":"H.","email":"","affiliations":[{"id":40273,"text":"National Institute of Advanced Industrial Science and Technology","active":true,"usgs":false}],"preferred":false,"id":881224,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shapiro, S.A.","contributorId":328766,"corporation":false,"usgs":false,"family":"Shapiro","given":"S.A.","email":"","affiliations":[{"id":37963,"text":"Freie Universität Berlin","active":true,"usgs":false}],"preferred":false,"id":881225,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rubinstein, Justin 0000-0003-1274-6785","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":215341,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":881226,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ito, T.","contributorId":328767,"corporation":false,"usgs":false,"family":"Ito","given":"T.","affiliations":[{"id":36517,"text":"Tohoku University","active":true,"usgs":false}],"preferred":false,"id":881227,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yan, K.","contributorId":328768,"corporation":false,"usgs":false,"family":"Yan","given":"K.","email":"","affiliations":[{"id":36517,"text":"Tohoku University","active":true,"usgs":false}],"preferred":false,"id":881228,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zuo, Y.","contributorId":328769,"corporation":false,"usgs":false,"family":"Zuo","given":"Y.","email":"","affiliations":[{"id":78485,"text":"Chengdu University of Technology","active":true,"usgs":false}],"preferred":false,"id":881229,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70247687,"text":"70247687 - 2023 - Development and application of a qPCR-based genotyping assay for Ophidiomyces ophidiicola to investigate the epidemiology of ophidiomycosis","interactions":[],"lastModifiedDate":"2023-08-11T13:48:29.667034","indexId":"70247687","displayToPublicDate":"2023-08-03T08:45:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Development and application of a qPCR-based genotyping assay for Ophidiomyces ophidiicola to investigate the epidemiology of ophidiomycosis","title":"Development and application of a qPCR-based genotyping assay for Ophidiomyces ophidiicola to investigate the epidemiology of ophidiomycosis","docAbstract":"

Ophidiomycosis (snake fungal disease) is an infectious disease caused by the fungus Ophidiomyces ophidiicola to which all snake species appear to be susceptible. Significant variation has been observed in clinical presentation, progression of disease, and response to treatment, which may be due to genetic variation in the causative agent. Recent phylogenetic analysis based on whole-genome sequencing identified that O. ophidiicola strains from the United States formed a clade distinct from European strains, and that multiple clonal lineages of the clade are present in the United States. The purpose of this study was to design a qPCR-based genotyping assay for O. ophidiicola, then apply that assay to swab-extracted DNA samples to investigate whether the multiple O. ophidiicola clades and clonal lineages in the United States have specific geographic, taxonomic, or temporal predilections. To this end, six full genome sequences of O. ophidiicola representing different clades and clonal lineages were aligned to identify genomic areas shared between subsets of the isolates. Eleven hydrolysis-based Taqman primer-probe sets were designed to amplify selected gene segments and produce unique amplification patterns for each isolate, each with a limit of detection of 10 or fewer copies of the target sequence and an amplification efficiency of 90–110%. The qPCR-based approach was validated using samples from strains known to belong to specific clades and applied to swab-extracted O. ophidiicola DNA samples from multiple snake species, states, and years. When compared to full-genome sequencing, the qPCR-based genotyping assay assigned 75% of samples to the same major clade (Cohen’s kappa = 0.360, 95% Confidence Interval = 0.154–0.567) with 67–77% sensitivity and 88–100% specificity, depending on clade/clonal lineage. Swab-extracted O. ophidiicola DNA samples from across the United States were assigned to six different clonal lineages, including four of the six established lineages and two newly defined groups, which likely represent recombinant strains of O. ophidiicola. Using multinomial logistic regression modeling to predict clade based on snake taxonomic group, state of origin, and year of collection, state was the most significant predictor of clonal lineage. Furthermore, clonal lineage was not associated with disease severity in the most intensely sampled species, the Lake Erie watersnake (Nerodia sipedon insularum). Overall, this assay represents a rapid, cost-effective genotyping method for O. ophidiicola that can be used to better understand the epidemiology of ophidiomycosis.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0289159","usgsCitation":"Haynes, E., Lorch, J., and Allender, M.C., 2023, Development and application of a qPCR-based genotyping assay for Ophidiomyces ophidiicola to investigate the epidemiology of ophidiomycosis: PLoS ONE, v. 18, no. 8, e0289159, 24 p., https://doi.org/10.1371/journal.pone.0289159.","productDescription":"e0289159, 24 p.","ipdsId":"IP-153457","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":442520,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0289159","text":"Publisher Index Page"},{"id":419734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Haynes, Ellen","contributorId":302417,"corporation":false,"usgs":false,"family":"Haynes","given":"Ellen","email":"","affiliations":[{"id":65476,"text":"Southeastern Cooperative Wildlife Disease Study, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":880033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":260164,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":880034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allender, Matthew C.","contributorId":192522,"corporation":false,"usgs":false,"family":"Allender","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":880035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247413,"text":"70247413 - 2023 - The 2018 eruption of Kīlauea: Insights, puzzles, and opportunities for volcano science","interactions":[],"lastModifiedDate":"2023-08-03T13:33:07.741401","indexId":"70247413","displayToPublicDate":"2023-08-03T08:32:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The 2018 eruption of Kīlauea: Insights, puzzles, and opportunities for volcano science","docAbstract":"The science of volcanology advances disproportionately during exceptionally large or well-observed eruptions. The 2018 eruption of Kīlauea Volcano (Hawai‘i) was its most impactful in centuries, involving an outpouring of more than one cubic kilometer of basalt, a magnitude 7 flank earthquake, and the volcano’s largest summit collapse since at least the nineteenth century. Eruptive activity was documented in detail, yielding new insights into large caldera-rift eruptions; the geometry of a shallow magma storage-transport system and its interaction with rift zone tectonics; mechanisms of basaltic tephra-producing explosions; caldera collapse mechanics; and the dynamics of fissure eruptions and high-volume lava flows. Insights are broadly applicable to a range of volcanic systems and should reduce risk from future eruptions. Multidisciplinary collaboration will be required to fully leverage the diversity of monitoring data to address many of the most important outstanding questions.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-031621-075925","usgsCitation":"Anderson, K.R., Shea, T., Lynn, K.J., Montgomery-Brown, E.K., Swanson, D., Patrick, M.R., Shiro, B., and Neal, C.A., 2023, The 2018 eruption of Kīlauea: Insights, puzzles, and opportunities for volcano science: Annual Review of Earth and Planetary Sciences, v. 52, p. 1.1-1.39, https://doi.org/10.1146/annurev-earth-031621-075925.","productDescription":"39 p.","startPage":"1.1","endPage":"1.39","ipdsId":"IP-150154","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":489804,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-earth-031621-075925","text":"Publisher Index Page"},{"id":419524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai‘i","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.2920983819043,\n 19.3974099687792\n ],\n [\n -155.28938524193637,\n 19.396370316527893\n ],\n [\n -155.2842981044967,\n 19.39892944858238\n ],\n [\n -155.28048275141686,\n 19.399009420810273\n ],\n [\n -155.27268247400912,\n 19.397329995764537\n ],\n [\n -155.27073240465714,\n 19.398529586851822\n ],\n [\n -155.26428869723344,\n 19.40340783282302\n ],\n [\n -155.25945591666567,\n 19.405327102614763\n ],\n [\n -155.250722997394,\n 19.41108477610085\n ],\n [\n -155.25114692551392,\n 19.417242062421394\n ],\n [\n -155.25674277669776,\n 19.423319155275223\n ],\n [\n -155.25691234794579,\n 19.425637986065325\n ],\n [\n -155.25818413230573,\n 19.429236106251096\n ],\n [\n -155.26310169849756,\n 19.43075528862279\n ],\n [\n -155.26768012219335,\n 19.4305154186667\n ],\n [\n -155.27344554462505,\n 19.432034589072785\n ],\n [\n -155.27988925204875,\n 19.42891627657312\n ],\n [\n -155.2875199582085,\n 19.420680445502782\n ],\n [\n -155.29489630749632,\n 19.41604260935064\n ],\n [\n -155.2947267362483,\n 19.41300395529393\n ],\n [\n -155.29642244872818,\n 19.411404640873116\n ],\n [\n -155.29684637684812,\n 19.409805310720614\n ],\n [\n -155.29608330623216,\n 19.40468734853374\n ],\n [\n -155.2920983819043,\n 19.3974099687792\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, Tom 0000-0001-7378-684X","orcid":"https://orcid.org/0000-0001-7378-684X","contributorId":223773,"corporation":false,"usgs":false,"family":"Shea","given":"Tom","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":879506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":879509,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879510,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879511,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879512,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70247411,"text":"70247411 - 2023 - Acoustic ducting by shelf water streamers at the New England shelfbreak","interactions":[],"lastModifiedDate":"2023-08-03T12:54:41.763999","indexId":"70247411","displayToPublicDate":"2023-08-03T07:49:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2516,"text":"Journal of the Acoustical Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic ducting by shelf water streamers at the New England shelfbreak","docAbstract":"Greater sound speed variability has been observed at the New England shelfbreak due to a greater influence from the Gulf Stream with increased meander amplitudes and frequency of Warm Core Ring (WCR) generation. Consequently, underwater sound propagation in the area also becomes more variable. This paper presents field observations of an acoustic near-surface ducting condition induced by shelf water streamers that are related to WCRs. The field observations also reveal the subsequent disappearance of the streamer duct due to the passage of a WCR filament. These two water column conditions are investigated with sound propagation measurements and numerical simulations.","language":"English","publisher":"Acoustic Society of America","doi":"10.1121/10.0020348","usgsCitation":"Johnson, J.J., Lin, Y., Newhall, A.E., Gawarkiewicz, G.G., Knobles, D.P., Chaytor, J., and Hodgkiss, W.S., 2023, Acoustic ducting by shelf water streamers at the New England shelfbreak: Journal of the Acoustical Society of America, v. 3, no. 8, 086001, 5 p., https://doi.org/10.1121/10.0020348.","productDescription":"086001, 5 p.","ipdsId":"IP-153459","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1121/10.0020348","text":"Publisher Index Page"},{"id":419519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Ocean, New England Shelfbreak","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.72163486449571,\n 40.4356059866395\n ],\n [\n -71.72163486449571,\n 38.855695682076686\n ],\n [\n -69.3855434397284,\n 38.855695682076686\n ],\n [\n -69.3855434397284,\n 40.4356059866395\n ],\n [\n -71.72163486449571,\n 40.4356059866395\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Jennifer J.","contributorId":317851,"corporation":false,"usgs":false,"family":"Johnson","given":"Jennifer","email":"","middleInitial":"J.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":879485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Ying-Tsong","contributorId":302804,"corporation":false,"usgs":false,"family":"Lin","given":"Ying-Tsong","email":"","affiliations":[],"preferred":false,"id":879486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newhall, Arthur E.","contributorId":317852,"corporation":false,"usgs":false,"family":"Newhall","given":"Arthur","email":"","middleInitial":"E.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":879487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gawarkiewicz, Glen G.","contributorId":317853,"corporation":false,"usgs":false,"family":"Gawarkiewicz","given":"Glen","email":"","middleInitial":"G.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":879488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knobles, David P.","contributorId":218392,"corporation":false,"usgs":false,"family":"Knobles","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":879489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":879490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hodgkiss, William S..","contributorId":317854,"corporation":false,"usgs":false,"family":"Hodgkiss","given":"William","email":"","middleInitial":"S..","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":879491,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70247412,"text":"70247412 - 2023 - Tracking carbon from subduction to outgassing along the Aleutian-Alaska Volcanic Arc","interactions":[],"lastModifiedDate":"2023-08-03T12:48:44.073761","indexId":"70247412","displayToPublicDate":"2023-08-03T07:37:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Tracking carbon from subduction to outgassing along the Aleutian-Alaska Volcanic Arc","docAbstract":"
Subduction transports volatiles between Earth’s mantle, crust, and atmosphere, ultimately creating a habitable Earth. We use isotopes to track carbon from subduction to outgassing along the Aleutian-Alaska Arc. We find substantial along-strike variations in the isotopic composition of volcanic gases, explained by different recycling efficiencies of subducting carbon to the atmosphere via arc volcanism and modulated by subduction character. Fast and cool subduction facilitates recycling of ~43 to 61% sediment-derived organic carbon to the atmosphere through degassing of central Aleutian volcanoes, while slow and warm subduction favors forearc sediment removal, leading to recycling of ~6 to 9% altered oceanic crust carbon to the atmosphere through degassing of western Aleutian volcanoes. These results indicate that less carbon is returned to the deep mantle than previously thought and that subducting organic carbon is not a reliable atmospheric carbon sink over subduction time scales.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adf3024","usgsCitation":"Lopez, T., Fischer, T., Plank, T., Malinverno, A., Rizzo, A., Rasmussen, D.J., Cottrell, E., Werner, C., Kern, C., Bergfeld, D., Ilanko, T., Andrys, J., and Kelley, K.A., 2023, Tracking carbon from subduction to outgassing along the Aleutian-Alaska Volcanic Arc: Science Advances, v. 9, no. 26, eadf3024, 13 p., https://doi.org/10.1126/sciadv.adf3024.","productDescription":"eadf3024, 13 p.","ipdsId":"IP-151688","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":442527,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adf3024","text":"Publisher Index Page"},{"id":419518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian-Alaska Volcanic Arc","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -184.57081880841443,\n 52.66862850393531\n ],\n [\n -185.88758679550372,\n 52.0621940813875\n ],\n [\n -186.87166230261155,\n 50.6903939475701\n ],\n [\n -182.9844069199303,\n 49.62091806490807\n ],\n [\n -177.53428660961828,\n 49.407283014252414\n ],\n [\n -170.52931503209135,\n 50.27944278662159\n ],\n [\n -160.9480964363156,\n 52.53241359741125\n ],\n [\n -152.27080368806057,\n 54.83801553053888\n ],\n [\n -146.56089508124185,\n 56.58862396491293\n ],\n [\n -144.9413367121922,\n 58.248542815808236\n ],\n [\n -144.51944993960396,\n 58.89694634495194\n ],\n [\n -143.38839953136554,\n 59.179910654776904\n ],\n [\n -145.20746627768446,\n 61.55937210464609\n ],\n [\n -147.94107628434256,\n 63.84673217109514\n ],\n [\n -150.31639834848866,\n 64.16473235425806\n ],\n [\n -152.72974991894893,\n 63.10290506989105\n ],\n [\n -154.8830118260682,\n 62.35500445504755\n ],\n [\n -154.83700882990414,\n 60.84623338071057\n ],\n [\n -154.38608680646902,\n 60.76926662126357\n ],\n [\n -154.9765555262895,\n 59.75780063150734\n ],\n [\n -155.35249386309158,\n 59.11899537603037\n ],\n [\n -156.27292785647336,\n 58.35126541051059\n ],\n [\n -157.8210436876727,\n 57.5281948641117\n ],\n [\n -159.33253665651475,\n 56.728646518677095\n ],\n [\n -161.4427235738317,\n 56.031260389951655\n ],\n [\n -163.28233624948308,\n 55.29511366381837\n ],\n [\n -165.0410390799176,\n 54.88281013075033\n ],\n [\n -166.40628711786178,\n 54.257930259732575\n ],\n [\n -167.04921310531972,\n 54.11655078700795\n ],\n [\n -168.53946832010897,\n 53.515208439904455\n ],\n [\n -170.20243042262715,\n 53.02374857942391\n ],\n [\n -171.87023065919436,\n 52.55819770943549\n ],\n [\n -173.53076305718096,\n 52.46402459904351\n ],\n [\n -174.27616688835403,\n 52.547856000814875\n ],\n [\n -176.1686836393644,\n 52.212144548264774\n ],\n [\n -177.37247479890874,\n 52.125092783002515\n ],\n [\n -178.84401026747568,\n 52.10035924868211\n ],\n [\n -180.40688978361788,\n 52.22149550936919\n ],\n [\n -182.95391683647256,\n 52.38153514561\n ],\n [\n -184.57081880841443,\n 52.66862850393531\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","issue":"26","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Taryn","contributorId":146828,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":16753,"text":"University of Alaska Geophysical Institute","active":true,"usgs":false}],"preferred":false,"id":879492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Tobias P.","contributorId":289341,"corporation":false,"usgs":false,"family":"Fischer","given":"Tobias P.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":879493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plank, Terry","contributorId":237829,"corporation":false,"usgs":false,"family":"Plank","given":"Terry","affiliations":[{"id":47619,"text":"Lamont-Doherty Earth Observatory, Columbia University, New York, NY 10027","active":true,"usgs":false}],"preferred":false,"id":879494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malinverno, Alberto","contributorId":317855,"corporation":false,"usgs":false,"family":"Malinverno","given":"Alberto","email":"","affiliations":[{"id":47812,"text":"Columbia Univ.","active":true,"usgs":false}],"preferred":false,"id":879495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rizzo, Andrea","contributorId":317856,"corporation":false,"usgs":false,"family":"Rizzo","given":"Andrea","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":879496,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rasmussen, Daniel J.","contributorId":237828,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":47619,"text":"Lamont-Doherty Earth Observatory, Columbia University, New York, NY 10027","active":true,"usgs":false}],"preferred":false,"id":879497,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cottrell, Elizabeth","contributorId":192904,"corporation":false,"usgs":false,"family":"Cottrell","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":879498,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Werner, Cynthia","contributorId":267764,"corporation":false,"usgs":false,"family":"Werner","given":"Cynthia","affiliations":[{"id":37768,"text":"USGS Contractor","active":true,"usgs":false}],"preferred":false,"id":879499,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":879500,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bergfeld, Deborah 0000-0003-4570-7627 dbergfel@usgs.gov","orcid":"https://orcid.org/0000-0003-4570-7627","contributorId":152531,"corporation":false,"usgs":true,"family":"Bergfeld","given":"Deborah","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879501,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ilanko, Tehnuka","contributorId":317857,"corporation":false,"usgs":false,"family":"Ilanko","given":"Tehnuka","email":"","affiliations":[{"id":69169,"text":"Univ. of Waikato","active":true,"usgs":false}],"preferred":false,"id":879502,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Andrys, Janine L.","contributorId":317858,"corporation":false,"usgs":false,"family":"Andrys","given":"Janine L.","affiliations":[{"id":47814,"text":"Univ. of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":879503,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kelley, Katherine A.","contributorId":192905,"corporation":false,"usgs":false,"family":"Kelley","given":"Katherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":879504,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70247705,"text":"70247705 - 2023 - Converted-wave reverse time migration imaging in subduction zone settings","interactions":[],"lastModifiedDate":"2023-08-14T12:30:30.866658","indexId":"70247705","displayToPublicDate":"2023-08-03T07:29:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Converted-wave reverse time migration imaging in subduction zone settings","docAbstract":"

We use a newly developed 2-D elastic reverse time migration (RTM) imaging algorithm based on the Helmholtz decomposition to test approaches for imaging the descending slab in subduction zone regions using local earthquake sources. Our elastic RTM method is designed to reconstruct incident and scattered wavefields at depth, isolate constituent P- and S-wave components via Helmholtz decomposition, and evaluate normalized imaging functions that leverage dominant P and S signals. This method allows us to target particular converted-wave scattering geometries, for example incident S to scattered P, which may be expected to have dominant signals in any given data set. The method is intended to be applied to dense seismic array observations that adequately capture both incident and converted wavefields. We draw a direct connection between our imaging functions and the first-order contrasts in shear wave material properties across seismic discontinuities. Through tests on synthetic data using either S → P or P → S conversions, we find that our technique can successfully recover the structure of a subducting slab using data from a dense wide-angle array of surface stations. We also calculate images with a small-aperture array to test the impact of array geometry on image resolution and interpretability. Our results show that our imaging technique is capable of imaging multiple seismic discontinuities at depth, even with a small number of earthquakes, but that limitations arise when a small aperture array is considered. In this case, the presence of artefacts makes it more difficult to determine the location of seismic discontinuities.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggad308","usgsCitation":"Langer, L., Pollitz, F., and McGuire, J., 2023, Converted-wave reverse time migration imaging in subduction zone settings: Geophysical Journal International, v. 235, no. 2, p. 1384-1402, https://doi.org/10.1093/gji/ggad308.","productDescription":"19 p.","startPage":"1384","endPage":"1402","ipdsId":"IP-146378","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":442528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggad308","text":"Publisher Index Page"},{"id":419761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"235","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Langer, Leah 0000-0002-5384-0500","orcid":"https://orcid.org/0000-0002-5384-0500","contributorId":298853,"corporation":false,"usgs":true,"family":"Langer","given":"Leah","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":880108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":880109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":880110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247871,"text":"70247871 - 2023 - Long short-term memory models to quantify long-term evolution of streamflow discharge and groundwater depth in Alabama","interactions":[],"lastModifiedDate":"2023-08-22T12:27:46.269762","indexId":"70247871","displayToPublicDate":"2023-08-03T07:25:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Long short-term memory models to quantify long-term evolution of streamflow discharge and groundwater depth in Alabama","docAbstract":"

Long short-term memory (LSTM) models have been shown to be efficient for rainfall-runoff modeling, and to a lesser extent, for groundwater depth forecasting. In this study, LSTMs were applied to quantify the spatiotemporal evolution of surface and subsurface hydrographs in Alabama in the Southeastern United States, where water sustainability has not been fully quantified across spatiotemporal scales. First, the surface water LSTM model with extensive dynamic (precipitation and other weather variables) and static (basin characteristics) inputs predicted the main characteristics of streamflow for six years at 19 gauged basins in Alabama. The model tended to underestimate extremely high streamflow but adding drainage density as an input feature slightly improved the predictions of extreme events. Second, to predict the groundwater depth evolution, a groundwater LSTM (GW-LSTM) model was proposed and applied using static inputs capturing the aquifers' hydrogeological properties and dynamic inputs of meteorological information. Three precipitation scenarios were also explored to evaluate the groundwater hydrograph evolution in the next two decades. The GW-LSTM model predicted the general trend of daily groundwater depth fluctuations (at 21 wells distributed across Alabama from 1990 to 2021) including most extremely high groundwater levels, and recovered groundwater depth for locations withheld from model training and validation. This study, therefore, extended the application of LSTMs in quantifying the spatiotemporal evolution of surface water and groundwater, two manifestations of a single integrated resource.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.165884","usgsCitation":"Gholizadeh, H., Zhang, Y., Frame, J., Gu, X., and Green, C., 2023, Long short-term memory models to quantify long-term evolution of streamflow discharge and groundwater depth in Alabama: Science of the Total Environment, v. 901, 165884, 12 p., https://doi.org/10.1016/j.scitotenv.2023.165884.","productDescription":"165884, 12 p.","ipdsId":"IP-151022","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":420009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-87.984916,35.005881],[-87.851886,35.005656],[-87.671405,35.003537],[-87.391314,35.002374],[-86.972613,34.99461],[-86.862147,34.991956],[-86.676726,34.99207],[-86.528485,34.990677],[-86.467798,34.990692],[-86.397203,34.99166],[-85.824411,34.988142],[-85.605165,34.984678],[-85.595191,34.924331],[-85.561416,34.750079],[-85.534327,34.625082],[-85.527261,34.588683],[-85.517074,34.542598],[-85.51393,34.525192],[-85.47045,34.328239],[-85.42947,34.125096],[-85.428222,34.114397],[-85.406748,34.002314],[-85.377426,33.856047],[-85.357402,33.750104],[-85.304439,33.482884],[-85.232378,33.108077],[-85.188741,32.889727],[-85.18474,32.870527],[-85.184131,32.870525],[-85.184914,32.868944],[-85.1844,32.861317],[-85.179353,32.855269],[-85.177127,32.853895],[-85.165569,32.85209],[-85.163427,32.851431],[-85.161615,32.849948],[-85.159638,32.844018],[-85.159474,32.839735],[-85.164651,32.834791],[-85.168342,32.828516],[-85.168644,32.814246],[-85.167939,32.811612],[-85.162137,32.804237],[-85.151913,32.794104],[-85.134676,32.782166],[-85.132186,32.778897],[-85.13203,32.776718],[-85.13312,32.773449],[-85.136544,32.769402],[-85.138412,32.764576],[-85.138879,32.760062],[-85.138101,32.753836],[-85.136077,32.749633],[-85.132186,32.74652],[-85.124092,32.741694],[-85.1202,32.737647],[-85.119577,32.734223],[-85.119733,32.72644],[-85.122738,32.715727],[-85.117037,32.692033],[-85.114737,32.685634],[-85.112637,32.683434],[-85.104037,32.679634],[-85.093536,32.669734],[-85.088483,32.657758],[-85.089736,32.655635],[-85.09457,32.652443],[-85.097952,32.645474],[-85.098259,32.642708],[-85.09662,32.638199],[-85.088934,32.635432],[-85.086167,32.633177],[-85.086065,32.631435],[-85.087192,32.628463],[-85.088627,32.626619],[-85.088319,32.623032],[-85.087294,32.62047],[-85.08224,32.616264],[-85.080768,32.610152],[-85.080288,32.603577],[-85.076399,32.594665],[-85.067535,32.579546],[-85.022509,32.542923],[-85.020237,32.534748],[-85.015805,32.528428],[-85.013788,32.526108],[-85.008396,32.524876],[-85.0071,32.523868],[-85.001532,32.514741],[-84.998332,32.494142],[-84.996732,32.492342],[-84.994831,32.486042],[-84.995231,32.475242],[-84.998231,32.469842],[-84.998031,32.461743],[-84.995331,32.453243],[-84.993531,32.450743],[-84.983831,32.445643],[-84.971831,32.442843],[-84.967031,32.435343],[-84.96303,32.424244],[-84.96343,32.422544],[-84.97183,32.416244],[-84.979431,32.412244],[-84.981098,32.402833],[-84.97752,32.39687],[-84.976767,32.392648],[-84.979028,32.38918],[-84.980385,32.385561],[-84.978739,32.376271],[-84.980084,32.373347],[-84.982949,32.371387],[-84.983552,32.368371],[-84.983466,32.363186],[-84.986778,32.359058],[-85.004582,32.345196],[-85.008096,32.336677],[-85.007103,32.328362],[-85.001874,32.322015],[-84.989514,32.319316],[-84.93868,32.300708],[-84.9338,32.29826],[-84.922872,32.285333],[-84.911127,32.276949],[-84.904023,32.273749],[-84.893959,32.265846],[-84.890894,32.261504],[-84.891131,32.25961],[-84.892315,32.258189],[-84.901549,32.255584],[-84.904087,32.250838],[-84.907227,32.24905],[-84.912488,32.247463],[-84.913249,32.24529],[-84.912727,32.24335],[-84.916327,32.236551],[-84.920627,32.233951],[-84.922627,32.231751],[-84.923527,32.229751],[-84.922927,32.224751],[-84.925427,32.221551],[-84.930127,32.219051],[-84.939328,32.217951],[-84.948995,32.217849],[-84.957057,32.21671],[-84.958985,32.215571],[-84.965733,32.208823],[-84.966784,32.206895],[-84.966928,32.204451],[-84.965032,32.200585],[-84.964944,32.19892],[-84.965032,32.196642],[-84.966828,32.193952],[-84.995929,32.184852],[-85.008531,32.181903],[-85.011267,32.180493],[-85.026583,32.166104],[-85.033989,32.156348],[-85.045593,32.143758],[-85.058749,32.136018],[-85.061144,32.134065],[-85.06206,32.132486],[-85.06154,32.129673],[-85.05918,32.125153],[-85.055045,32.113671],[-85.053777,32.107684],[-85.04955,32.095362],[-85.047063,32.090433],[-85.047063,32.087389],[-85.04774,32.084908],[-85.053232,32.080604],[-85.055813,32.074439],[-85.054084,32.07021],[-85.054179,32.067985],[-85.05683,32.059755],[-85.05663,32.054155],[-85.05883,32.046656],[-85.05803,32.043756],[-85.055333,32.04058],[-85.054839,32.038814],[-85.054627,32.036694],[-85.056464,32.031819],[-85.056253,32.028336],[-85.053214,32.024189],[-85.053214,32.021576],[-85.054768,32.017407],[-85.053815,32.013502],[-85.055075,32.010714],[-85.063441,32.00414],[-85.064544,32.002489],[-85.06803,31.993357],[-85.06833,31.986757],[-85.07093,31.981658],[-85.06993,31.978358],[-85.066829,31.974758],[-85.065929,31.971158],[-85.067829,31.967358],[-85.07023,31.965658],[-85.07393,31.964158],[-85.08323,31.962458],[-85.08573,31.960758],[-85.08673,31.959158],[-85.08683,31.957758],[-85.08243,31.945358],[-85.07893,31.941459],[-85.07893,31.940159],[-85.08473,31.937359],[-85.08643,31.935959],[-85.09183,31.928859],[-85.09953,31.925259],[-85.10133,31.918659],[-85.10243,31.917359],[-85.10913,31.914359],[-85.113131,31.911859],[-85.112731,31.909859],[-85.10983,31.90806],[-85.10803,31.90516],[-85.11133,31.89936],[-85.11063,31.89686],[-85.11203,31.89476],[-85.114031,31.89336],[-85.117031,31.89286],[-85.132931,31.89306],[-85.134131,31.89216],[-85.133731,31.88956],[-85.129331,31.88246],[-85.128431,31.87756],[-85.133731,31.870061],[-85.135831,31.862461],[-85.140131,31.858761],[-85.140731,31.857461],[-85.140231,31.855261],[-85.138031,31.851262],[-85.137731,31.845861],[-85.138331,31.844161],[-85.141331,31.841061],[-85.141831,31.839261],[-85.139231,31.834161],[-85.135931,31.830462],[-85.133631,31.826062],[-85.131331,31.817562],[-85.131531,31.813062],[-85.132931,31.808062],[-85.132831,31.798862],[-85.132231,31.795162],[-85.132931,31.792363],[-85.137131,31.788363],[-85.141931,31.781963],[-85.140431,31.779663],[-85.12633,31.768863],[-85.12523,31.767063],[-85.12563,31.764463],[-85.129231,31.758663],[-85.12393,31.747564],[-85.11893,31.732664],[-85.12223,31.722764],[-85.12573,31.718864],[-85.12653,31.716764],[-85.12683,31.708965],[-85.12553,31.694965],[-85.12233,31.691265],[-85.11393,31.686865],[-85.11263,31.685165],[-85.10943,31.677465],[-85.092429,31.659966],[-85.083545,31.656071],[-85.082013,31.65473],[-85.080864,31.652336],[-85.085173,31.644101],[-85.085365,31.642186],[-85.084503,31.639026],[-85.080029,31.636867],[-85.073829,31.629567],[-85.067628,31.625267],[-85.059534,31.621717],[-85.058169,31.620227],[-85.057527,31.616883],[-85.060418,31.611271],[-85.060552,31.608224],[-85.059696,31.607262],[-85.057314,31.606713],[-85.055976,31.605178],[-85.058109,31.593343],[-85.05844,31.58369],[-85.055417,31.578696],[-85.055284,31.577092],[-85.057719,31.573062],[-85.05796,31.57084],[-85.052931,31.56289],[-85.050838,31.555551],[-85.045698,31.548707],[-85.042547,31.545953],[-85.041305,31.540987],[-85.041813,31.537754],[-85.042983,31.5352],[-85.047196,31.528671],[-85.048263,31.526012],[-85.047649,31.523751],[-85.044556,31.520908],[-85.044986,31.51823],[-85.052951,31.506518],[-85.058923,31.495989],[-85.062105,31.488017],[-85.065687,31.484122],[-85.071621,31.468384],[-85.069268,31.453472],[-85.066703,31.447286],[-85.065955,31.442979],[-85.065875,31.430586],[-85.06697,31.428594],[-85.068546,31.427311],[-85.072898,31.426477],[-85.074762,31.424879],[-85.076746,31.415971],[-85.079818,31.411732],[-85.079978,31.410472],[-85.077387,31.402844],[-85.077626,31.39888],[-85.080403,31.393932],[-85.082431,31.38454],[-85.092167,31.364576],[-85.092619,31.357474],[-85.091791,31.355207],[-85.09099,31.354428],[-85.087413,31.354428],[-85.085918,31.353146],[-85.087063,31.340317],[-85.08781,31.337981],[-85.089411,31.336033],[-85.088983,31.334292],[-85.084152,31.328313],[-85.083776,31.31821],[-85.087404,31.311223],[-85.087695,31.304053],[-85.089774,31.295026],[-85.09316,31.289688],[-85.099107,31.284165],[-85.110309,31.281733],[-85.112762,31.280037],[-85.114601,31.277333],[-85.114548,31.276302],[-85.112546,31.274378],[-85.111905,31.272477],[-85.111983,31.267987],[-85.113261,31.264343],[-85.112352,31.25958],[-85.109149,31.254609],[-85.102472,31.23786],[-85.098844,31.232524],[-85.096763,31.225651],[-85.098707,31.219511],[-85.098704,31.211286],[-85.106963,31.202693],[-85.108133,31.195637],[-85.107516,31.186451],[-85.106503,31.185305],[-85.104424,31.18565],[-85.102052,31.184734],[-85.098507,31.180153],[-85.100207,31.16549],[-85.092106,31.160293],[-85.083582,31.15963],[-85.077801,31.157889],[-85.076628,31.156927],[-85.070181,31.14868],[-85.064028,31.142495],[-85.06243,31.139518],[-85.061072,31.134225],[-85.054677,31.120818],[-85.052867,31.119489],[-85.050178,31.118916],[-85.035615,31.108192],[-85.032832,31.10057],[-85.029736,31.096163],[-85.026068,31.08418],[-85.028573,31.074583],[-85.018148,31.059253],[-85.012642,31.055402],[-85.011392,31.053546],[-85.008816,31.045573],[-85.009409,31.032378],[-85.005051,31.024701],[-85.004549,31.01918],[-84.999428,31.013843],[-84.999626,31.009079],[-85.001366,31.005044],[-85.002368,31.000682],[-85.243632,31.000884],[-85.498272,30.996928],[-85.749619,30.995292],[-85.749932,30.994837],[-85.998643,30.99287],[-86.035039,30.99332],[-86.116918,30.992917],[-86.238335,30.99437],[-86.289247,30.993798],[-86.36927,30.994477],[-86.49995,30.99334],[-86.512834,30.9937],[-86.519938,30.993245],[-86.563436,30.995223],[-86.706261,30.994703],[-86.725379,30.996872],[-86.74524,30.99629],[-86.830497,30.997401],[-86.92781,30.997704],[-87.039989,30.999594],[-87.053737,30.999131],[-87.118873,30.999427],[-87.124969,30.998802],[-87.140755,30.999532],[-87.237685,30.996393],[-87.25498,30.998285],[-87.301567,30.998434],[-87.458658,30.998386],[-87.51952,30.997586],[-87.598928,30.997457],[-87.599172,30.995722],[-87.596722,30.98761],[-87.593395,30.982959],[-87.592676,30.98014],[-87.594164,30.977572],[-87.594111,30.976335],[-87.589187,30.964464],[-87.592055,30.951492],[-87.59689,30.941131],[-87.598299,30.938793],[-87.600691,30.937074],[-87.602684,30.934277],[-87.607811,30.92449],[-87.6102,30.916628],[-87.611847,30.914541],[-87.614209,30.908536],[-87.616013,30.901453],[-87.620715,30.89893],[-87.622203,30.897508],[-87.622519,30.89368],[-87.620922,30.889923],[-87.620788,30.887494],[-87.622062,30.885408],[-87.6244,30.884696],[-87.629454,30.880115],[-87.634938,30.865886],[-87.628245,30.860131],[-87.626228,30.857127],[-87.62538,30.854355],[-87.627323,30.847961],[-87.626075,30.846494],[-87.624137,30.845713],[-87.617281,30.840353],[-87.615367,30.837031],[-87.615923,30.834693],[-87.605776,30.831304],[-87.60163,30.82514],[-87.600486,30.820627],[-87.594297,30.816984],[-87.58787,30.815037],[-87.581869,30.812403],[-87.576849,30.808163],[-87.572043,30.800532],[-87.56814,30.799088],[-87.564209,30.796246],[-87.560068,30.792258],[-87.559484,30.790447],[-87.554838,30.787125],[-87.552051,30.786254],[-87.545044,30.778666],[-87.545364,30.774105],[-87.54616,30.77202],[-87.536528,30.761383],[-87.535416,30.75476],[-87.535365,30.749775],[-87.532607,30.743489],[-87.523613,30.738306],[-87.511729,30.733535],[-87.505153,30.726313],[-87.502317,30.72159],[-87.497515,30.720123],[-87.487036,30.7185],[-87.481225,30.716508],[-87.479819,30.71495],[-87.479579,30.712865],[-87.474429,30.706586],[-87.470397,30.705281],[-87.467717,30.701683],[-87.466338,30.700835],[-87.456948,30.69756],[-87.451404,30.699806],[-87.44358,30.694604],[-87.439814,30.690479],[-87.436021,30.688668],[-87.430372,30.688645],[-87.424883,30.683374],[-87.419527,30.679981],[-87.412739,30.678055],[-87.406958,30.675165],[-87.406561,30.674019],[-87.407118,30.671796],[-87.405874,30.666616],[-87.400707,30.657148],[-87.397262,30.654351],[-87.396177,30.650454],[-87.397185,30.648117],[-87.393588,30.63088],[-87.393775,30.627006],[-87.395659,30.623372],[-87.39643,30.617734],[-87.39643,30.616909],[-87.395026,30.615281],[-87.397308,30.608728],[-87.39927,30.605611],[-87.404597,30.603389],[-87.406558,30.599928],[-87.408736,30.583701],[-87.412712,30.573227],[-87.414513,30.573456],[-87.416261,30.572448],[-87.418354,30.570043],[-87.418513,30.569561],[-87.416951,30.568003],[-87.41666,30.566306],[-87.418647,30.561837],[-87.422408,30.560439],[-87.423362,30.561425],[-87.426037,30.560073],[-87.427891,30.554159],[-87.431441,30.550263],[-87.43544,30.54914],[-87.446586,30.527068],[-87.446427,30.520306],[-87.444944,30.514943],[-87.445182,30.51398],[-87.446499,30.513569],[-87.447782,30.511913],[-87.447702,30.510458],[-87.444714,30.507494],[-87.44322,30.506782],[-87.43969,30.506649],[-87.431178,30.495795],[-87.430578,30.491096],[-87.432978,30.484896],[-87.435578,30.480496],[-87.434678,30.479196],[-87.431578,30.477696],[-87.430578,30.476596],[-87.429578,30.470596],[-87.425078,30.465596],[-87.414677,30.457296],[-87.407877,30.456396],[-87.404677,30.452897],[-87.399877,30.450997],[-87.396877,30.450597],[-87.391976,30.451597],[-87.381176,30.450097],[-87.370768,30.446865],[-87.36868,30.444631],[-87.366939,30.44048],[-87.366591,30.436648],[-87.368191,30.433407],[-87.371169,30.43049],[-87.386376,30.420497],[-87.395676,30.417597],[-87.403477,30.410198],[-87.408877,30.408798],[-87.419177,30.410198],[-87.422677,30.410098],[-87.426177,30.409198],[-87.429578,30.406498],[-87.431778,30.403198],[-87.434278,30.397498],[-87.437278,30.395898],[-87.440678,30.391498],[-87.440878,30.386698],[-87.438678,30.382098],[-87.438678,30.380798],[-87.441823,30.376304],[-87.449078,30.370399],[-87.451378,30.367199],[-87.451978,30.360299],[-87.450962,30.346262],[-87.452278,30.344099],[-87.459978,30.3363],[-87.462978,30.334],[-87.464878,30.3333],[-87.475579,30.3314],[-87.491879,30.3309],[-87.49998,30.328957],[-87.502572,30.327405],[-87.504701,30.324039],[-87.505943,30.319396],[-87.50578,30.3125],[-87.50468,30.308901],[-87.50278,30.307301],[-87.494879,30.305001],[-87.483679,30.304801],[-87.481879,30.306001],[-87.475879,30.3079],[-87.462978,30.3078],[-87.459578,30.3083],[-87.455578,30.3102],[-87.450078,30.3111],[-87.452378,30.300201],[-87.49998,30.287901],[-87.51838,30.283901],[-87.518324,30.280435],[-87.544533,30.275659],[-87.558097,30.274437],[-87.581362,30.269257],[-87.656888,30.249709],[-87.73553,30.240679],[-87.80056,30.229365],[-87.838462,30.227185],[-87.926119,30.230373],[-87.962253,30.229522],[-87.999996,30.225753],[-88.014572,30.222366],[-88.028401,30.221132],[-88.029272,30.222714],[-88.023991,30.23039],[-87.966847,30.235618],[-87.948979,30.256564],[-87.936041,30.261469],[-87.918247,30.253308],[-87.913762,30.247837],[-87.90046,30.241531],[-87.893201,30.239237],[-87.879343,30.23859],[-87.860085,30.240289],[-87.817743,30.254292],[-87.802087,30.253054],[-87.78775,30.254244],[-87.766626,30.262353],[-87.755263,30.277292],[-87.755516,30.291217],[-87.772758,30.311701],[-87.796717,30.324198],[-87.809266,30.332702],[-87.82988,30.353809],[-87.837239,30.369324],[-87.845132,30.377446],[-87.853806,30.378481],[-87.865017,30.38345],[-87.906343,30.40938],[-87.908908,30.41424],[-87.914136,30.446144],[-87.920031,30.470645],[-87.924211,30.4761],[-87.931902,30.4811],[-87.933355,30.487357],[-87.911141,30.525848],[-87.905343,30.537566],[-87.901711,30.550879],[-87.904168,30.565985],[-87.907891,30.573114],[-87.911431,30.576261],[-87.914956,30.585893],[-87.91253,30.615795],[-87.919346,30.63606],[-87.93107,30.652694],[-87.936717,30.657432],[-87.955989,30.658862],[-87.981196,30.67509],[-88.008396,30.684956],[-88.012444,30.68319],[-88.022076,30.673873],[-88.026706,30.66149],[-88.034588,30.653715],[-88.044339,30.652568],[-88.061998,30.644891],[-88.059598,30.619091],[-88.053998,30.612491],[-88.064898,30.588292],[-88.074898,30.578892],[-88.085493,30.563258],[-88.081617,30.546317],[-88.082792,30.528713],[-88.090734,30.52357],[-88.100874,30.50975],[-88.103768,30.500903],[-88.102988,30.493029],[-88.096867,30.471053],[-88.100646,30.46122],[-88.106437,30.452738],[-88.10407,30.4273],[-88.107274,30.377246],[-88.115432,30.35657],[-88.124611,30.341623],[-88.128052,30.338509],[-88.136173,30.320729],[-88.155775,30.327184],[-88.171967,30.324679],[-88.191542,30.317002],[-88.195664,30.321242],[-88.198361,30.338819],[-88.196353,30.343586],[-88.188532,30.345053],[-88.188527,30.348124],[-88.200065,30.362378],[-88.204495,30.362102],[-88.260695,30.382381],[-88.282635,30.382876],[-88.290649,30.370741],[-88.311608,30.368908],[-88.316525,30.369985],[-88.319599,30.380334],[-88.332277,30.38844],[-88.341345,30.38947],[-88.364022,30.388006],[-88.374671,30.385608],[-88.395023,30.369425],[-88.403547,30.5331],[-88.407462,30.631653],[-88.41863,30.866528],[-88.419562,30.875186],[-88.438211,31.231252],[-88.43878,31.252654],[-88.451045,31.459448],[-88.451575,31.481533],[-88.459478,31.621652],[-88.464425,31.697881],[-88.465107,31.722312],[-88.473227,31.893856],[-88.43865,32.172806],[-88.428278,32.250143],[-88.413819,32.373922],[-88.4125,32.380025],[-88.403789,32.44977],[-88.373338,32.711825],[-88.368349,32.747656],[-88.354292,32.87513],[-88.330934,33.073125],[-88.317135,33.184123],[-88.315235,33.203323],[-88.312535,33.220923],[-88.277421,33.512436],[-88.267148,33.591989],[-88.254622,33.69578],[-88.252257,33.719568],[-88.244142,33.781673],[-88.243025,33.79568],[-88.240054,33.810879],[-88.210741,34.029199],[-88.190678,34.190123],[-88.18762,34.204778],[-88.186667,34.220952],[-88.165634,34.383102],[-88.156292,34.463214],[-88.134263,34.62266],[-88.118407,34.724292],[-88.116418,34.746303],[-88.10756,34.811628],[-88.097888,34.892202],[-88.099999,34.894095],[-88.125038,34.902227],[-88.136692,34.907592],[-88.146335,34.914374],[-88.154617,34.922392],[-88.161594,34.933456],[-88.176106,34.962519],[-88.179973,34.967466],[-88.187429,34.974909],[-88.198811,34.991192],[-88.202959,35.008028],[-87.984916,35.005881]]],[[[-88.124658,30.28364],[-88.086812,30.259864],[-88.074854,30.249119],[-88.075856,30.246139],[-88.078786,30.245039],[-88.109432,30.242097],[-88.120151,30.246149],[-88.137083,30.249179],[-88.166569,30.249255],[-88.20854,30.244807],[-88.280571,30.230274],[-88.304773,30.228031],[-88.313323,30.230024],[-88.310025,30.233233],[-88.299705,30.231812],[-88.280781,30.233781],[-88.25837,30.239595],[-88.224615,30.245559],[-88.17335,30.252418],[-88.158303,30.252393],[-88.141143,30.255024],[-88.130631,30.262125],[-88.124722,30.273541],[-88.124658,30.28364]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA \"}}]}","volume":"901","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gholizadeh, Hossein 0000-0001-6221-7457","orcid":"https://orcid.org/0000-0001-6221-7457","contributorId":328624,"corporation":false,"usgs":false,"family":"Gholizadeh","given":"Hossein","email":"","affiliations":[{"id":78426,"text":"University of Alabama, Tuscaloosa Alabama","active":true,"usgs":false}],"preferred":false,"id":880806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yong","contributorId":214040,"corporation":false,"usgs":false,"family":"Zhang","given":"Yong","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":880807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frame, Jonathan 0000-0002-2533-3843","orcid":"https://orcid.org/0000-0002-2533-3843","contributorId":328625,"corporation":false,"usgs":false,"family":"Frame","given":"Jonathan","email":"","affiliations":[{"id":78427,"text":"Floodbase, New York City, New York","active":true,"usgs":false}],"preferred":false,"id":880808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gu, Xiufen 0000-0002-6043-6610","orcid":"https://orcid.org/0000-0002-6043-6610","contributorId":328626,"corporation":false,"usgs":false,"family":"Gu","given":"Xiufen","email":"","affiliations":[{"id":78428,"text":"Yantai University, Yantai, Shandong, China","active":true,"usgs":false}],"preferred":false,"id":880809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":880810,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247433,"text":"70247433 - 2023 - Resilience of riparian vegetation productivity to early 21st century drought in northern California, USA","interactions":[],"lastModifiedDate":"2023-08-07T12:13:27.955306","indexId":"70247433","displayToPublicDate":"2023-08-03T07:10:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Resilience of riparian vegetation productivity to early 21st century drought in northern California, USA","docAbstract":"

Drought and intensive land use can interact as stressors on riparian vegetation, especially along rivers flowing through seasonally dry landscapes. Knowledge of past riparian vegetation response to drought and land use change can provide land managers with a better understanding of changes induced by upstream management actions, climate change, and chronic stressors. To investigate the response of riparian vegetation productivity to drought and land use, we developed a 21-year time series (2000–2020) of growing season vegetation dynamics using near-infrared reflectance of vegetation (NIRV) derived from satellite data across 30 watershed subbasins that drain into the San Francisco Bay Delta in central California, USA. We observed a strong response of riparian vegetation to drought, but rapid recovery and very few long-term declines in productivity. At a local level, vegetation communities' response to drought and post-drought productivity dynamics were highly variable across biophysical settings and land use gradients. Most of the riparian areas with long-term declines in NIRV were located in the lower elevation Coast Range on the western side of the study area where there is little to no water engineering or agricultural irrigation runoff to subsidize riparian vegetation. Riparian areas with the greatest long-term increase were along rivers draining the higher elevation Sierra Nevada range to the east. Our results suggest that river systems with a high proportion of water originating as snowmelt may be more buffered against long-term drought-driven declines in productivity than those dependent exclusively on winter rainfall. The long-term increase in NIRV in the vast majority of riparian areas within our study area may also have been driven in part by increasing atmospheric CO2 concentrations, which have been shown to increase plant water use efficiency.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4638","usgsCitation":"Selmants, P., Conrad, C.R., Wilson, T., and Villarreal, M.L., 2023, Resilience of riparian vegetation productivity to early 21st century drought in northern California, USA: Ecosphere, v. 14, no. 8, e4638, 10 p., https://doi.org/10.1002/ecs2.4638.","productDescription":"e4638, 10 p.","ipdsId":"IP-144817","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":442533,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4638","text":"Publisher Index Page"},{"id":435233,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PT6DYC","text":"USGS data release","linkHelpText":"Spatial data of California riparian vegetation productivity trends over time (2000-2020) and environmental covariates"},{"id":419557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.31024648927419,\n 38.451960956521106\n ],\n [\n -122.17846709209289,\n 38.107140456611035\n ],\n [\n -121.60742303764215,\n 37.34278608643963\n ],\n [\n -120.8167466545559,\n 36.32322872629197\n ],\n [\n -119.49895268274545,\n 35.218415938114646\n ],\n [\n -118.7082762996592,\n 35.14661192090209\n ],\n [\n -118.7082762996592,\n 36.146072780960196\n ],\n [\n -119.63073207992679,\n 37.621645541592656\n ],\n [\n -120.46533492873961,\n 38.93195341540286\n ],\n [\n -121.51957010618794,\n 40.28554472076502\n ],\n [\n -122.17846709209289,\n 40.88600356913588\n ],\n [\n -123.10092287236046,\n 40.4862965568405\n ],\n [\n -122.83736407799836,\n 39.340807940338664\n ],\n [\n -122.31024648927419,\n 38.451960956521106\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Selmants, Paul C. 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":192591,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul","email":"pselmants@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":879604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, Caroline Rose 0000-0002-0496-8081","orcid":"https://orcid.org/0000-0002-0496-8081","contributorId":236945,"corporation":false,"usgs":true,"family":"Conrad","given":"Caroline","email":"","middleInitial":"Rose","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":879605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":879606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":879607,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70247435,"text":"70247435 - 2023 - Biophysical factors control invasive annual grass hot spots in the Mojave Desert","interactions":[],"lastModifiedDate":"2023-10-23T15:50:31.324403","indexId":"70247435","displayToPublicDate":"2023-08-03T06:56:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Biophysical factors control invasive annual grass hot spots in the Mojave Desert","docAbstract":"

Invasive annual grasses can promote ecosystem state changes and habitat loss in the American Southwest. Non-native annual grasses such as Bromus spp. and Schismus spp. have invaded the Mojave Desert and degraded habitat through increased fire occurrence, severity, and shifting plant community composition. Thus, it is important to identify and characterize the areas where persistent invasion has occurred, identifying where subsequent habitat degradation has increased. Previous plot and landscape-scale analyses have revealed anthropogenic and biophysical correlates with the establishment and dominance of invasive annual grasses in the Mojave Desert. However, these studies have been limited in spatial and temporal scales. Here we use Landsat imagery validated using an extensive network of plot data to map persistent and productive populations of invasive annual grass, called hot spots, across the entire Mojave Desert ecoregion over 12 years (2009–2020). We also identify important variables for predicting hot spot distribution using the Random Forest algorithm and identifying the most invaded subregions. We identified hot spots in over 5% of the Mojave Desert mostly on the western and eastern edges of the ecoregion, and invasive grasses were detected in over 90% of the Mojave Desert at least once in that time. Across the entire Mojave Desert, our results indicate that soil texture, aspect, winter precipitation, and elevation are the highest-ranking predictive variables of invasive grass hot spots, while anthropogenic variables contributed the least to the accuracy of the predictive model. The total area covered by hot spots varied significantly among subregions of the Mojave Desert. We found that anthropogenic variables became more important in explaining invasive annual establishment and persistence as spatial scale was reduced to the subregional level. Our findings have important implications for informing where land management actions can prioritize reducing invasive annual persistence and promoting restoration efforts.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-023-03142-z","usgsCitation":"Smith, T.C., Bishop, T., Duniway, M.C., Villarreal, M.L., Knight, A.C., Munson, S.M., Waller, E.K., Jensen, R., and Gill, R., 2023, Biophysical factors control invasive annual grass hot spots in the Mojave Desert: Biological Invasions, v. 25, p. 3839-3859, https://doi.org/10.1007/s10530-023-03142-z.","productDescription":"21 p.","startPage":"3839","endPage":"3859","ipdsId":"IP-145951","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":442534,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-023-03142-z","text":"Publisher Index Page"},{"id":419555,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.91885200845788,\n 36.175859123828786\n ],\n [\n -116.91885200845788,\n 34.00154237614139\n ],\n [\n -114.2173743662469,\n 34.00154237614139\n ],\n [\n -114.2173743662469,\n 36.175859123828786\n ],\n [\n -116.91885200845788,\n 36.175859123828786\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Tanner Corless","contributorId":317870,"corporation":false,"usgs":false,"family":"Smith","given":"Tanner","email":"","middleInitial":"Corless","affiliations":[{"id":69173,"text":"Brigham Young University, Department of Biology, Provo, Utah, USA","active":true,"usgs":false}],"preferred":false,"id":879611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bishop, Tara B.B.","contributorId":215034,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara B.B.","affiliations":[{"id":39160,"text":"Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT USA","active":true,"usgs":false}],"preferred":false,"id":879612,"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":879613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":879614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":879615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":879616,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waller, Eric K.","contributorId":317871,"corporation":false,"usgs":false,"family":"Waller","given":"Eric","email":"","middleInitial":"K.","affiliations":[{"id":69174,"text":"Contracted to USGS, Portland, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":879617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jensen, Ryan","contributorId":317872,"corporation":false,"usgs":false,"family":"Jensen","given":"Ryan","email":"","affiliations":[{"id":69175,"text":"Brigham Young University, Department of Geography, Provo, Utah, USA","active":true,"usgs":false}],"preferred":false,"id":879618,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gill, Richard A.","contributorId":317873,"corporation":false,"usgs":false,"family":"Gill","given":"Richard A.","affiliations":[{"id":69173,"text":"Brigham Young University, Department of Biology, Provo, Utah, USA","active":true,"usgs":false}],"preferred":false,"id":879619,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70247479,"text":"70247479 - 2023 - Toxic algae in inland waters of the conterminous United States—A review and synthesis","interactions":[],"lastModifiedDate":"2023-08-09T11:58:20.763769","indexId":"70247479","displayToPublicDate":"2023-08-03T06:54:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Toxic algae in inland waters of the conterminous United States—A review and synthesis","docAbstract":"
Cyanobacteria are the most common toxigenic algae in inland waters. Their toxins can affect the health of aquatic and terrestrial organisms, including humans. Other algal groups, such as haptophytes (e.g., Prymnesium parvum) and euglenoids (e.g., Euglena sanguinea), can also form harmful algal blooms (HABs) whose toxins cause injury to aquatic biota but currently have no known effects on human health. Prymnesium parvum, however, is responsible for some of the worst HAB-related ecological disasters recorded in inland waters. Here, we provide an overview of the primary toxigenic algae found in U.S. inland waters: cyanobacteria (planktonic forms), P. parvum, and E. sanguinea with the objective of describing their similarities and differences in the areas of HAB ecology, algal toxins, and the potential for future range expansion of HABs. A detailed account of bloom habitats and their known associations with land cover and use is provided from the perspective of water quality. This review revealed that salinity may have an influence on inland cyanobacterial blooms and cyanotoxins that had not been fully recognized previously.
","language":"English","publisher":"MDPI","doi":"10.3390/w15152808","usgsCitation":"Patino, R., Christensen, V., Graham, J.L., Rogosch, J.S., and Rosen, B.H., 2023, Toxic algae in inland waters of the conterminous United States—A review and synthesis: Water, v. 15, no. 15, 2808, 40 p., https://doi.org/10.3390/w15152808.","productDescription":"2808, 40 p.","ipdsId":"IP-153787","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":442537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15152808","text":"Publisher Index Page"},{"id":419657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"15","issue":"15","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":879827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":879859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosen, Barry H.","contributorId":317976,"corporation":false,"usgs":false,"family":"Rosen","given":"Barry","email":"","middleInitial":"H.","affiliations":[{"id":40458,"text":"Florida Gulf Coast University","active":true,"usgs":false}],"preferred":false,"id":879831,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247474,"text":"70247474 - 2023 - Potassium-39-derived 36Ar production during fission-neutron irradiation and its effect on 40Ar/39Ar ages","interactions":[],"lastModifiedDate":"2023-08-09T13:33:02.864013","indexId":"70247474","displayToPublicDate":"2023-08-03T06:38:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potassium-39-derived 36Ar production during fission-neutron irradiation and its effect on 40Ar/39Ar ages","title":"Potassium-39-derived 36Ar production during fission-neutron irradiation and its effect on 40Ar/39Ar ages","docAbstract":"

Various interference reactions producing unwanted Ar isotopes from K, Ca, Cl and Ar require correction to satisfy the 40Ar/39Ar age equation. Using GEANT4, we design and build a model Cadmium Lined In Core Irradiation Tube (CLICIT) irradiation facility, as used in the Oregon State TRIGA Reactor (OSTR). We illustrate the complexity of the irradiation of geologic samples within this framework and determine an overlooked production channel of 36Ar. The production of 36Ar is fed from the 39K(n,α)36Cl nuclear channel, 36Cl subsequently decays to 36Ar (39K(n,α,β) 36Ar). Simulations in this work using a 235U fission neutron energy spectrum and modelled CLICIT facility, determine a production ratio for this reaction (36Cl/39Ar)K = 0.40 ± 0.01 (1σ); greater than an order of magnitude larger than any other K interference. The magnitude of the resulting age bias for an unknown sample will be a function of the integrated neutron flux, the length of irradiation (fluence), the time elapsed since irradiation, and the age relationship between the unknown and neutron fluence monitor. We show using the raw data of (Niespolo et al., 2017) that the age of Alder Creek sanidine can be modified to be ca. 0.1% older (1σ), at the 2σ level of current analytical precision for the Alder Creek age for this study. The 39K(n,α,β)36Ar inference should be incorporated into routine data analysis and may be especially important in the intercalibration of the 40Ar/39Ar system with other chronometers (e.g., 206Pb/238U).

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2023.07.017","usgsCitation":"Carter, J., Renne, P.R., and Morgan, L.E., 2023, Potassium-39-derived 36Ar production during fission-neutron irradiation and its effect on 40Ar/39Ar ages: Geochimica et Cosmochimica Acta, v. 357, p. 26-34, https://doi.org/10.1016/j.gca.2023.07.017.","productDescription":"9 p.","startPage":"26","endPage":"34","ipdsId":"IP-150326","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":442543,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2023.07.017","text":"Publisher Index Page"},{"id":419655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"357","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Jack N.","contributorId":317971,"corporation":false,"usgs":false,"family":"Carter","given":"Jack N.","affiliations":[{"id":38176,"text":"Berkeley Geochronology Center","active":true,"usgs":false}],"preferred":false,"id":879818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renne, Paul R. 0000-0003-1769-5235","orcid":"https://orcid.org/0000-0003-1769-5235","contributorId":229577,"corporation":false,"usgs":false,"family":"Renne","given":"Paul","email":"","middleInitial":"R.","affiliations":[{"id":37390,"text":"Department of Earth and Planetary Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":879819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":879820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70251396,"text":"70251396 - 2023 - A seasonally ice-free Arctic Ocean during the Last Interglacial","interactions":[],"lastModifiedDate":"2024-02-09T12:39:54.402651","indexId":"70251396","displayToPublicDate":"2023-08-03T06:37:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"A seasonally ice-free Arctic Ocean during the Last Interglacial","docAbstract":"

The extent and seasonality of Arctic sea ice during the Last Interglacial (129,000 to 115,000 years before present) is poorly known. Sediment-based reconstructions have suggested extensive ice cover in summer, while climate model outputs indicate year-round conditions in the Arctic Ocean ranging from ice free to fully ice covered. Here we use microfossil records from across the central Arctic Ocean to show that sea-ice extent was substantially reduced and summers were probably ice free. The evidence comes from high abundances of the subpolar planktic foraminifera Turborotalita quinqueloba in five newly analysed cores. The northern occurrence of this species is incompatible with perennial sea ice, which would be associated with a thick, low-salinity surface water. Instead, T. quinqueloba’s ecological preference implies largely ice-free surface waters with seasonally elevated levels of primary productivity. In the modern ocean, this species thrives in the Fram Strait–Barents Sea ‘Arctic–Atlantic gateway’ region, implying that the necessary Atlantic Ocean-sourced water masses shoaled towards the surface during the Last Interglacial. This process reflects the ongoing Atlantification of the Arctic Ocean, currently restricted to the Eurasian Basin. Our results establish the Last Interglacial as a prime analogue for studying a seasonally ice-free Arctic Ocean, expected to occur this century.

","language":"English","publisher":"Nature","doi":"10.1038/s41561-023-01227-x","usgsCitation":"Vermassen, F., O’Regan, M., de Boer, A., Schenk, F., Razmjooei, M., West, G., Cronin, T.M., Jakobsson, M., and Coxall, H., 2023, A seasonally ice-free Arctic Ocean during the Last Interglacial: Nature Geoscience, v. 16, no. 8, p. 723-729, https://doi.org/10.1038/s41561-023-01227-x.","productDescription":"7 p.","startPage":"723","endPage":"729","ipdsId":"IP-142032","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":467099,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41561-023-01227-x","text":"Publisher Index Page"},{"id":425531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":425519,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1038/s41561-023-01227-x"}],"volume":"16","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Vermassen, Flor","contributorId":268317,"corporation":false,"usgs":false,"family":"Vermassen","given":"Flor","email":"","affiliations":[],"preferred":false,"id":894410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Regan, Matt","contributorId":197135,"corporation":false,"usgs":false,"family":"O’Regan","given":"Matt","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":894411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Boer, Agatha","contributorId":197129,"corporation":false,"usgs":false,"family":"de Boer","given":"Agatha","email":"","affiliations":[],"preferred":false,"id":894412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schenk, Freederik","contributorId":333963,"corporation":false,"usgs":false,"family":"Schenk","given":"Freederik","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":894413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Razmjooei, Mohammad","contributorId":334008,"corporation":false,"usgs":false,"family":"Razmjooei","given":"Mohammad","email":"","affiliations":[],"preferred":false,"id":894508,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"West, Gabriel","contributorId":258085,"corporation":false,"usgs":false,"family":"West","given":"Gabriel","email":"","affiliations":[],"preferred":false,"id":894414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":894415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":894416,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Coxall, Helen","contributorId":166866,"corporation":false,"usgs":false,"family":"Coxall","given":"Helen","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":894417,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}