{"pageNumber":"303","pageRowStart":"7550","pageSize":"25","recordCount":184769,"records":[{"id":70242017,"text":"70242017 - 2023 - Six years of fluvial response to a large dam removal on the Carmel River, California, USA","interactions":[],"lastModifiedDate":"2023-06-27T16:51:13.29324","indexId":"70242017","displayToPublicDate":"2023-02-07T08:17:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Six years of fluvial response to a large dam removal on the Carmel River, California, USA","docAbstract":"<p><span>Measuring river response to dam removal affords a rare, important opportunity to study fluvial response to sediment pulses on a large field scale. We present a before–after/control–impact study of the Carmel River, California, measuring fluvial geomorphic and grain-size evolution over 8 years, six of which postdated removal of a 32 m-high dam (one of the largest dams removed worldwide) and included 11 flow events exceeding the 2-year flood magnitude. We find that the reservoir-sediment pulse following dam removal was relatively small (97 000 ± 24 000 t over 4 years), owing to deliberate reservoir-sediment stabilization. Scaled to the size of the Carmel River watershed and compared against long-term bedrock denudation rates, the post-dam-removal sediment release was slightly less than the annualized long-term sediment export from this basin. New sediment transited &gt;30 km to the river mouth in less than 2 years, assisted by floods 2 and 4 years after dam removal. The sediment pulse fined the downstream riverbed while causing mostly low-magnitude bed-elevation changes: commonly 0.5 to 1 m or smaller, occurring as discontinuous sediment patches or interstitial deposits, aside from the filling and subsequent partial scour of deep pools. There was no major geomorphic reset downstream from the dam site. Geomorphic changes were driven almost entirely by flow rather than by the modest increase in sediment supply, in contrast to recent examples from other large dam removals. The relatively minor disturbance caused by dam removal on the Carmel River is likely analogous to many future dam removals: a relatively small sediment pulse after deliberate limitation of reservoir-sediment erosion, and with an upstream dam remaining in place. Thus, a large dam removal need not lead to major downstream impacts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5561","usgsCitation":"East, A.E., Harrison, L.R., Smith, D.P., Logan, J.B., and Bond, R., 2023, Six years of fluvial response to a large dam removal on the Carmel River, California, USA: Earth Surface Processes and Landforms, v. 48, no. 8, p. 1487-1501, https://doi.org/10.1002/esp.5561.","productDescription":"15 p.","startPage":"1487","endPage":"1501","ipdsId":"IP-146182","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444561,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5561","text":"Publisher Index Page"},{"id":415160,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Carmel River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.62577522165773,\n              36.36105374788829\n            ],\n            [\n              -121.58724434610056,\n              36.40905968854021\n            ],\n            [\n              -121.61843600726598,\n              36.46293870830412\n            ],\n            [\n              -121.750541866319,\n              36.53594773620604\n            ],\n            [\n              -121.8532908678046,\n              36.61551540625254\n            ],\n            [\n              -121.90741757394426,\n              36.588265345279865\n            ],\n            [\n              -121.93261880515863,\n              36.54806169091083\n            ],\n            [\n              -121.88413981443409,\n              36.520771377870034\n            ],\n            [\n              -121.79850327393265,\n              36.50047233869989\n            ],\n            [\n              -121.7839886060512,\n              36.469663631874326\n            ],\n            [\n              -121.74712134963194,\n              36.40894399256348\n            ],\n            [\n              -121.68209557572075,\n              36.36804816657221\n            ],\n            [\n              -121.62606895769773,\n              36.3610353099688\n            ],\n            [\n              -121.62577522165773,\n              36.36105374788829\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":868545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Douglas P.","contributorId":201716,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas","email":"","middleInitial":"P.","affiliations":[{"id":35924,"text":"California State University, Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":868546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, Joshua B. 0000-0002-6191-4119 jlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-6191-4119","contributorId":2335,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua","email":"jlogan@usgs.gov","middleInitial":"B.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Rosealea","contributorId":201717,"corporation":false,"usgs":false,"family":"Bond","given":"Rosealea","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":868548,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240939,"text":"70240939 - 2023 - Increasing Alaskan river discharge during the cold season is driven by recent warming","interactions":[],"lastModifiedDate":"2023-03-02T13:22:05.643107","indexId":"70240939","displayToPublicDate":"2023-02-07T07:19:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Increasing Alaskan river discharge during the cold season is driven by recent warming","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Arctic hydrology is experiencing rapid changes including earlier snow melt, permafrost degradation, increasing active layer depth, and reduced river ice, all of which are expected to lead to changes in stream flow regimes. Recently, long-term (&gt;60 years) climate reanalysis and river discharge observation data have become available. We utilized these data to assess long-term changes in discharge and their hydroclimatic drivers. River discharge during the cold season (October–April) increased by 10% per decade. The most widespread discharge increase occurred in April (15% per decade), the month of ice break-up for the majority of basins. In October, when river ice formation generally begins, average monthly discharge increased by 7% per decade. Long-term air temperature increases in October and April increased the number of days above freezing (+1.1 d per decade) resulting in increased snow ablation (20% per decade) and decreased snow water equivalent (−12% per decade). Compared to the historical period (1960–1989), mean April and October air temperature in the recent period (1990–2019) have greater correlation with monthly discharge from 0.33 to 0.68 and 0.0–0.48, respectively. This indicates that the recent increases in air temperature are directly related to these discharge changes. Ubiquitous increases in cold and shoulder-season discharge demonstrate the scale at which hydrologic and biogeochemical fluxes are being altered in the Arctic.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/acb661","usgsCitation":"Blaskey, D., Koch, J.C., Gooseff, M., Newman, A.C., Cheng, Y., O’Donnell, J.A., and Musselman, K., 2023, Increasing Alaskan river discharge during the cold season is driven by recent warming: Environmental Research Letters, v. 18, no. 2, 024042, 12 p., https://doi.org/10.1088/1748-9326/acb661.","productDescription":"024042, 12 p.","ipdsId":"IP-146328","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":444564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acb661","text":"Publisher Index Page"},{"id":413614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -140.80269683804968,\n              69.90708872520639\n            ],\n            [\n              -148.88520185751725,\n              71.02309718987036\n            ],\n            [\n              -155.5620538301211,\n              71.53067530491455\n            ],\n            [\n              -161.00895938671903,\n              71.02309718987036\n            ],\n            [\n              -166.9829848358909,\n              69.04477255284121\n            ],\n            [\n              -168.74005114447075,\n              65.596108528327\n            ],\n            [\n              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MFEB","active":true,"usgs":true}],"preferred":true,"id":865372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooseff, M.","contributorId":201026,"corporation":false,"usgs":false,"family":"Gooseff","given":"M.","email":"","affiliations":[],"preferred":false,"id":865373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, A. C. 0000-0001-6621-2717","orcid":"https://orcid.org/0000-0001-6621-2717","contributorId":211589,"corporation":false,"usgs":false,"family":"Newman","given":"A.","email":"","middleInitial":"C.","affiliations":[{"id":38269,"text":"Aarhus, Denmark","active":true,"usgs":false}],"preferred":false,"id":865374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheng, Yang","contributorId":211352,"corporation":false,"usgs":false,"family":"Cheng","given":"Yang","email":"","affiliations":[],"preferred":false,"id":865375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":865376,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Musselman, K","contributorId":302756,"corporation":false,"usgs":false,"family":"Musselman","given":"K","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":865377,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70246694,"text":"70246694 - 2023 - Upwelling, climate change, and the shifting geography of coral reef development","interactions":[],"lastModifiedDate":"2023-07-17T12:20:56.213839","indexId":"70246694","displayToPublicDate":"2023-02-07T07:18:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Upwelling, climate change, and the shifting geography of coral reef development","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The eastern tropical Pacific is oceanographically unfavorable for coral-reef development. Nevertheless, reefs have persisted there for the last 7000&nbsp;years. Rates of vertical accretion during the Holocene have been similar in the strong-upwelling Gulf of Panamá (GoP) and the adjacent, weak-upwelling Gulf of Chiriquí (GoC); however, seasonal upwelling in the GoP exacerbated a climate-driven hiatus in reef development in the late Holocene. The situation is now reversed and seasonal upwelling in the GoP currently buffers thermal stress, creating a refuge for coral growth. We developed carbonate budget models to project the capacity of reefs in both gulfs to keep up with future sea-level rise. On average, the GoP had significantly higher net carbonate production rates than the GoC. With an estimated contemporary reef-accretion potential (RAP) of 5.5&nbsp;mm&nbsp;year<sup>−1</sup>, reefs in the GoP are projected to be able to keep up with sea-level rise if CO<sub>2</sub><span>&nbsp;</span>emissions are reduced, but not under current emissions trajectories. With an estimated RAP of just 0.3&nbsp;mm&nbsp;year<sup>−1</sup>, reefs in the GoC are likely already unable to keep up with contemporary sea-level rise in Panamá (1.4&nbsp;mm&nbsp;year<sup>−1</sup>). Whereas the GoP has the potential to support functional reefs in the near-term, our study indicates that their long-term persistence will depend on reduction of greenhouse gases.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-28489-0","usgsCitation":"Rodriguez-Ruano, V., Toth, L., Enochs, I.C., Randall, C.J., and Aronson, R.B., 2023, Upwelling, climate change, and the shifting geography of coral reef development: Scientific Reports, v. 13, 1770, 15 p., https://doi.org/10.1038/s41598-023-28489-0.","productDescription":"1770, 15 p.","ipdsId":"IP-142612","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444566,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-28489-0","text":"Publisher Index Page"},{"id":418999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.44492355404331,\n              8.765703725009672\n            ],\n            [\n              -79.44492355404331,\n              7.896453925071583\n            ],\n            [\n              -78.41265160945854,\n              7.896453925071583\n            ],\n            [\n              -78.41265160945854,\n              8.765703725009672\n            ],\n            [\n              -79.44492355404331,\n              8.765703725009672\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.40995999061637,\n              7.983464633908511\n            ],\n            [\n              -82.40995999061637,\n              7.0035723559191325\n            ],\n            [\n              -81.15805571739662,\n              7.0035723559191325\n            ],\n            [\n              -81.15805571739662,\n              7.983464633908511\n            ],\n            [\n              -82.40995999061637,\n              7.983464633908511\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Rodriguez-Ruano, Victor","contributorId":316663,"corporation":false,"usgs":false,"family":"Rodriguez-Ruano","given":"Victor","email":"","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":878013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":878014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enochs, Ian C.","contributorId":181746,"corporation":false,"usgs":false,"family":"Enochs","given":"Ian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":878015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Randall, Carly J. 0000-0001-8112-3552","orcid":"https://orcid.org/0000-0001-8112-3552","contributorId":212696,"corporation":false,"usgs":false,"family":"Randall","given":"Carly","email":"","middleInitial":"J.","affiliations":[{"id":32935,"text":"Australian Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":878016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aronson, Richard B. 0000-0003-0383-3844","orcid":"https://orcid.org/0000-0003-0383-3844","contributorId":212695,"corporation":false,"usgs":false,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":878017,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240642,"text":"70240642 - 2023 - Detection and monitoring of small-scale diamond and gold mining dredges using synthetic aperture radar on the Kadéï (Sangha) River, Central African Republic","interactions":[],"lastModifiedDate":"2023-02-10T13:01:32.364059","indexId":"70240642","displayToPublicDate":"2023-02-07T06:58:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Detection and monitoring of small-scale diamond and gold mining dredges using synthetic aperture radar on the Kadéï (Sangha) River, Central African Republic","docAbstract":"<div class=\"html-p\">Diamond and gold mining has been practiced by artisanal miners in the Central African Republic (CAR) for decades. The recent introduction of riverine dredges indicates a transition from artisanal/manual digging and sorting techniques to small-scale mining methods. This study implements a remote sensing analysis of Synthetic Aperture Radar (SAR) data to map gold and diamond dredges operating on the Kadéï (Sangha) river in the CAR. Riverine vessels are identified in Sentinel-1 SAR data between 2015 and 2019, and their activity levels are mapped over time. The number of active dredges identified on the river increased over the five years studied, with the largest increase occurring between 2016 and 2017. Detailing a method for mapping and monitoring riverine diamond and gold dredge mining is an important step in keeping up with evolving technologies and new areas of mineral exploitation and in helping address concerns over resource governance in remote and conflict-prone terrain. The use of SAR technology, with its weather-independence, broad coverage, and available wavelength combinations, allows for higher temporal resolution and improved vessel detection in the monitoring of small-scale mining (SSM) dredges.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs15040913","usgsCitation":"Alessi, M.A., Chirico, P.G., Sunder, S., and O’Pry, K.L., 2023, Detection and monitoring of small-scale diamond and gold mining dredges using synthetic aperture radar on the Kadéï (Sangha) River, Central African Republic: Remote Sensing, v. 15, no. 4, 913, 20 p., https://doi.org/10.3390/rs15040913.","productDescription":"913, 20 p.","ipdsId":"IP-145346","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":444571,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15040913","text":"Publisher Index Page"},{"id":435463,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FWFC7R","text":"USGS data release","linkHelpText":"Locations of small-scale diamond and gold dredges detected using Synthetic Aperture Radar on the Kad&amp;amp;amp;amp;eacute;&amp;amp;amp;amp;iuml; (Sangha) River, Central African Republic"},{"id":412938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Central African Republic","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              15.570709092892002,\n              3.9129555923553028\n            ],\n            [\n              15.570709092892002,\n              2.7289487271179524\n            ],\n            [\n              16.712802193468775,\n              2.7289487271179524\n            ],\n            [\n              16.712802193468775,\n              3.9129555923553028\n            ],\n            [\n              15.570709092892002,\n              3.9129555923553028\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Alessi, Marissa Ann 0000-0002-1251-3108","orcid":"https://orcid.org/0000-0002-1251-3108","contributorId":244628,"corporation":false,"usgs":true,"family":"Alessi","given":"Marissa","email":"","middleInitial":"Ann","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":864079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G. 0000-0001-8375-5342","orcid":"https://orcid.org/0000-0001-8375-5342","contributorId":63838,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter","email":"","middleInitial":"G.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":864080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sunder, Sindhuja 0000-0002-3978-3263","orcid":"https://orcid.org/0000-0002-3978-3263","contributorId":264350,"corporation":false,"usgs":false,"family":"Sunder","given":"Sindhuja","email":"","affiliations":[{"id":54446,"text":"Aperture Federal, LLC","active":true,"usgs":false}],"preferred":false,"id":864081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Pry, Kelsey L. 0000-0002-1589-4372","orcid":"https://orcid.org/0000-0002-1589-4372","contributorId":219734,"corporation":false,"usgs":false,"family":"O’Pry","given":"Kelsey","email":"","middleInitial":"L.","affiliations":[{"id":33043,"text":"Natural Systems Analysts, Inc.","active":true,"usgs":false}],"preferred":false,"id":864082,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240733,"text":"70240733 - 2023 - Stabilising effects of karstic groundwater on stream fish communities","interactions":[],"lastModifiedDate":"2023-06-09T15:07:23.012484","indexId":"70240733","displayToPublicDate":"2023-02-07T06:52:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Stabilising effects of karstic groundwater on stream fish communities","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Although groundwater exchange processes are known to modulate atmospheric influences on stream temperature and flow, the implications for ecological stability are poorly understood. Here, we evaluated temporal change in stream fish communities across a gradient of groundwater influence defined by karst terrain (carbonate parent materials) within the Potomac River basin of eastern North America. We surveyed 12 sites in 2022 that had been sampled 29–30 years previously with similar methods. We also collected stream temperature data from each site and used the regression slope of the air-water temperature relationship to index stream thermal sensitivity and groundwater exchange processes. Sites in karst terrain exhibited strong groundwater controls on stream temperature, and fish communities were more stable over time in these locations than elsewhere. However, stream thermal sensitivity was a stronger predictor of species persistence than the spatial distribution of karst terrain in contributing areas, highlighting the ecological importance of local variation in groundwater discharge processes. The presence of calcium precipitates (marl) in stream substrates was associated with low thermal sensitivity and ecological stability over time, and we suggest such visible features may be a useful indicator of climate change refugia in stream ecosystems.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12705","usgsCitation":"Hitt, N.P., Rogers, K.M., Kessler, K.G., Briggs, M., and Fair, J.H., 2023, Stabilising effects of karstic groundwater on stream fish communities: Ecology of Freshwater Fish, v. 32, no. 3, p. 538-551, https://doi.org/10.1111/eff.12705.","productDescription":"14 p.","startPage":"538","endPage":"551","ipdsId":"IP-147077","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444573,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12705","text":"Publisher Index Page"},{"id":413165,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":864580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Karli M. 0000-0002-6188-7405","orcid":"https://orcid.org/0000-0002-6188-7405","contributorId":237955,"corporation":false,"usgs":true,"family":"Rogers","given":"Karli","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":864581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kessler, Karmann G. 0000-0001-5681-4909","orcid":"https://orcid.org/0000-0001-5681-4909","contributorId":242765,"corporation":false,"usgs":true,"family":"Kessler","given":"Karmann","email":"","middleInitial":"G.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":864582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":864583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864584,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240943,"text":"70240943 - 2023 - Sierra Nevada amphibians demonstrate stable occupancy despite precipitation volatility in the early 21st Century","interactions":[],"lastModifiedDate":"2023-03-02T12:56:42.847598","indexId":"70240943","displayToPublicDate":"2023-02-07T06:52:12","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Sierra Nevada amphibians demonstrate stable occupancy despite precipitation volatility in the early 21st Century","docAbstract":"<div class=\"JournalAbstract\"><p>Climate can have a strong influence on species distributions, and amphibians with different life histories might be affected by annual variability in precipitation in different ways. The Sierra Nevada of California, United States, experienced some of the driest and wettest years on record in the early 21st Century, with variability in annual precipitation predicted to increase with climate change. We examined the relationship between adult occupancy dynamics of three high elevation anurans and site and annual variation in measures of winter severity, summer wetness, and cumulative drought. We further evaluated how these weather conditions affected the probability that each species would reproduce, conditional on their occurrence at a site. We found that although different aspects of weather affected the occupancy dynamics of each species differently, adult occupancy probabilities were generally stable throughout our 15-year study period. The probability of reproduction, although slightly more variable than adult occupancy, was similarly stable throughout the study. Although occurrence of the three species was resilient to recent extremes in precipitation, more detailed demographic study would inform the extent to which amphibian populations will remain resilient to increasing severity, duration, and frequency of drought and flood cycles.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2022.1040114","usgsCitation":"Halstead, B., Kleeman, P.M., Rose, J.P., and Fellers, G.M., 2023, Sierra Nevada amphibians demonstrate stable occupancy despite precipitation volatility in the early 21st Century: Frontiers in Ecology and Evolution, v. 10, 1040114, 19 p., https://doi.org/10.3389/fevo.2022.1040114.","productDescription":"1040114, 19 p.","ipdsId":"IP-145172","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444576,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2022.1040114","text":"Publisher Index Page"},{"id":435465,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VR4SH3","text":"USGS data release","linkHelpText":"Code to analyze multi-state, multi-scale dynamic occupancy models for amphibians in  Yosemite National Park"},{"id":435464,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X6SKT8","text":"USGS data release","linkHelpText":"Multi-State Occurrence Data and Predictors for Amphibians in Yosemite National Park (2007-2021)"},{"id":413609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.40789832776177,\n              38.18368535961483\n            ],\n            [\n              -120.40789832776177,\n              37.228000371894424\n            ],\n            [\n              -118.70574034132497,\n              37.228000371894424\n            ],\n            [\n              -118.70574034132497,\n              38.18368535961483\n            ],\n            [\n              -120.40789832776177,\n              38.18368535961483\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":865384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":865385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":865386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fellers, Gary M.","contributorId":209920,"corporation":false,"usgs":false,"family":"Fellers","given":"Gary","email":"","middleInitial":"M.","affiliations":[{"id":38025,"text":"9 Goldfinch Court, Novato, CA 94947; gary_fellers@worldnet.att.net","active":true,"usgs":false}],"preferred":false,"id":865387,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240475,"text":"70240475 - 2023 - When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates","interactions":[],"lastModifiedDate":"2023-11-08T16:48:35.179325","indexId":"70240475","displayToPublicDate":"2023-02-07T06:48:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates","docAbstract":"<p id=\"spara021\">Previous moderate- and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable models are employed, expert decisions also introduce human and, thereby, model bias. This bias can present a source of error that reduces the predictive performance of the models and confidence in the resulting resource estimates.</p><p id=\"spara022\">Our study aims to develop robust data-driven methods with the goals of reducing bias and improving predictive ability. We present and compare nine favorability maps for geothermal resources in the western United States using data from the U.S. Geological Survey's 2008 geothermal resource assessment. Two favorability maps are created using the expert decision-dependent methods from the 2008 assessment (<i>i.e.,</i><span>&nbsp;</span>weight-of-evidence and logistic regression). With the same data, we then create six different favorability maps using logistic regression (without underlying expert decisions), XGBoost, and support-vector machines paired with two training strategies. The training strategies are customized to address the inherent challenges of applying machine learning to the geothermal training data, which have no negative examples and severe class imbalance. We also create another favorability map using an artificial neural network.</p><p id=\"spara023\">We demonstrate that modern machine learning approaches can improve upon systems built with expert decisions. We also find that XGBoost, a non-linear algorithm, produces greater agreement with the 2008 results than linear logistic regression without expert decisions, because the expert decisions in the 2008 assessment rendered the otherwise linear approaches non-linear despite the fact that the 2008 assessment used only linear methods. The F1 scores for all approaches appear low (F1 score &lt; 0.10), do not improve with increasing model complexity, and, therefore, indicate the fundamental limitations of the input features (<i>i.e.,</i><span>&nbsp;</span>training data). Until improved feature data are incorporated into the assessment process, simple non-linear algorithms (<i>e.g.,</i><span>&nbsp;</span>XGBoost) perform equally well or better than more complex methods (<i>e.g.,</i><span>&nbsp;</span>artificial neural networks) and remain easier to interpret.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2023.102662","usgsCitation":"Mordensky, S.P., Lipor, J., DeAngelo, J., Burns, E., and Lindsey, C.R., 2023, When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates: Geothermics, v. 110, 102662, 22 p., https://doi.org/10.1016/j.geothermics.2023.102662.","productDescription":"102662, 22 p.","ipdsId":"IP-142531","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":444577,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2023.102662","text":"Publisher Index Page"},{"id":435466,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V1Q9XM","text":"USGS data release","linkHelpText":"Geothermal resource favorability: select features and predictions for the western United States curated for DOI 10.1016/j.geothermics.2023.102662"},{"id":412868,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -127.12518216384296,\n              49.86387644792583\n            ],\n            [\n              -127.12518216384296,\n              31.096405781605768\n            ],\n            [\n              -102.87766710543923,\n              31.096405781605768\n            ],\n            [\n              -102.87766710543923,\n              49.86387644792583\n            ],\n            [\n              -127.12518216384296,\n              49.86387644792583\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"110","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mordensky, Stanley Paul 0000-0001-8607-303X","orcid":"https://orcid.org/0000-0001-8607-303X","contributorId":292014,"corporation":false,"usgs":true,"family":"Mordensky","given":"Stanley","email":"","middleInitial":"Paul","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":863886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lipor, John 0000-0002-0990-5493","orcid":"https://orcid.org/0000-0002-0990-5493","contributorId":292015,"corporation":false,"usgs":false,"family":"Lipor","given":"John","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":863887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":863888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":863889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindsey, Cary Ruth 0000-0001-5693-9664","orcid":"https://orcid.org/0000-0001-5693-9664","contributorId":292016,"corporation":false,"usgs":true,"family":"Lindsey","given":"Cary","email":"","middleInitial":"Ruth","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":863890,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240880,"text":"70240880 - 2023 - Regolith of the crater floor units, Jezero crater, Mars: Textures, composition and implications for provenance","interactions":[],"lastModifiedDate":"2023-03-15T15:12:05.585557","indexId":"70240880","displayToPublicDate":"2023-02-07T06:33:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13276,"text":"JGR-Planets","active":true,"publicationSubtype":{"id":10}},"title":"Regolith of the crater floor units, Jezero crater, Mars: Textures, composition and implications for provenance","docAbstract":"<div class=\"article-section__content en main\"><p>A multi-instrument study of the regolith of Jezero crater floor units by the Perseverance rover has identified three types of regolith: fine-grained, coarse-grained, and mixed-type. Mastcam-Z, WATSON, and SuperCam RMI were used to characterize regolith texture, particle size, and roundedness where possible. Mastcam-Z multispectral and SuperCam LIBS data were used to constrain the composition of the regolith types. Fine-grained regolith is found surrounding bedrock and boulders, comprising bedforms, and accumulating on top of rocks in erosional depressions. Spectral and chemical data show it is compositionally consistent with pyroxene and a ferric-oxide phase. Coarse-grained regolith consists of 1-2 mm well-sorted gray grains that are found concentrated around the base of boulders and bedrock, and armoring bedforms. Its chemistry and spectra indicate it is olivine-bearing, and spatial distribution and roundedness indicate it has been transported, likely by saltation-induced creep. Coarse grains share similarities with the olivine grains observed in the<span>&nbsp;</span><i>Séítah</i><span>&nbsp;</span>formation bedrock, making that unit a possible source for these grains. Mixed-type regolith contains fine- and coarse-grained regolith components and larger rock fragments. The rock fragments are texturally and spectrally similar to bedrock within the<span>&nbsp;</span><i>Máaz</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Séítah</i><span>&nbsp;</span>formations, indicating origins by erosion from those units, although they could also be a lag deposit from erosion of an overlying unit. The fine- and coarse-grained types are compared to their counterparts at other landing sites to inform global, regional, and local inputs to regolith formation within Jezero crater. The regolith characterization presented here informs regolith sampling efforts underway by Perseverance.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JE007437","usgsCitation":"Vaughan, A., Minitti, M.E., Cardarelli, E.L., Johnson, J.R., Kah, L.C., Pilleri, P., Rice, M.S., Sephton, M., Horgan, B.H., Wiens, R.C., Yingst, R.A., Zorzano Mier, M., Anderson, R.B., Bell, J., Brown, A.J., Cloutis, E.A., Cousin, A., Herkenhoff, K., Housrath, E.M., Hayes, A.G., Kinch, K.M., Merusi, M., Million, C.C., Sullivan, R., Siljestrom, S.M., and St. Clair, M., 2023, Regolith of the crater floor units, Jezero crater, Mars: Textures, composition and implications for provenance: JGR-Planets, v. 128, no. 3, e2022JE007437, 32 p., https://doi.org/10.1029/2022JE007437.","productDescription":"e2022JE007437, 32 p.","ipdsId":"IP-147096","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":444580,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022je007437","text":"Publisher Index Page"},{"id":413464,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Jezero Crater, Mars","volume":"128","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughan, Alicia","contributorId":218576,"corporation":false,"usgs":false,"family":"Vaughan","given":"Alicia","affiliations":[],"preferred":false,"id":865141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minitti, Michelle E.","contributorId":302692,"corporation":false,"usgs":false,"family":"Minitti","given":"Michelle","email":"","middleInitial":"E.","affiliations":[{"id":65532,"text":"Framework","active":true,"usgs":false}],"preferred":false,"id":865142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardarelli, Emily L.","contributorId":302693,"corporation":false,"usgs":false,"family":"Cardarelli","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65533,"text":"Caltech Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":865143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Jeffrey R.","contributorId":200393,"corporation":false,"usgs":false,"family":"Johnson","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":865144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kah, Linda C.","contributorId":181497,"corporation":false,"usgs":false,"family":"Kah","given":"Linda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":865145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilleri, Paolo","contributorId":300176,"corporation":false,"usgs":false,"family":"Pilleri","given":"Paolo","email":"","affiliations":[{"id":27192,"text":"IRAP","active":true,"usgs":false}],"preferred":false,"id":865146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, Mellisa S.","contributorId":302694,"corporation":false,"usgs":false,"family":"Rice","given":"Mellisa","email":"","middleInitial":"S.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":865147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sephton, Mark","contributorId":302695,"corporation":false,"usgs":false,"family":"Sephton","given":"Mark","email":"","affiliations":[{"id":49191,"text":"Imperial College","active":true,"usgs":false}],"preferred":false,"id":865148,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Horgan, Briony H. N. 0000-0001-6314-9724","orcid":"https://orcid.org/0000-0001-6314-9724","contributorId":258276,"corporation":false,"usgs":false,"family":"Horgan","given":"Briony","email":"","middleInitial":"H. N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":865149,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":865150,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yingst, R. Aileen","contributorId":214030,"corporation":false,"usgs":false,"family":"Yingst","given":"R.","email":"","middleInitial":"Aileen","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":865151,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zorzano Mier, Maria-Paz","contributorId":302696,"corporation":false,"usgs":false,"family":"Zorzano Mier","given":"Maria-Paz","email":"","affiliations":[{"id":47594,"text":"Centro de Astrobiologia","active":true,"usgs":false}],"preferred":false,"id":865152,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":865153,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bell, James F. III","contributorId":302697,"corporation":false,"usgs":false,"family":"Bell","given":"James F. III","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":865154,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Brown, Adrian J.","contributorId":193997,"corporation":false,"usgs":false,"family":"Brown","given":"Adrian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":865155,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Cloutis, Edward A.","contributorId":156313,"corporation":false,"usgs":false,"family":"Cloutis","given":"Edward","email":"","middleInitial":"A.","affiliations":[{"id":20308,"text":"Department of Geography, University of Winnipeg, Winnipeg, MB, Canada R3B 2E9","active":true,"usgs":false}],"preferred":false,"id":865156,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Cousin, Agnes","contributorId":291470,"corporation":false,"usgs":false,"family":"Cousin","given":"Agnes","affiliations":[{"id":27192,"text":"IRAP","active":true,"usgs":false}],"preferred":false,"id":865157,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":206170,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":865158,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Housrath, Elisabeth M.","contributorId":302698,"corporation":false,"usgs":false,"family":"Housrath","given":"Elisabeth","email":"","middleInitial":"M.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":865159,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hayes, Alexander G.","contributorId":211180,"corporation":false,"usgs":false,"family":"Hayes","given":"Alexander","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":865160,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Kinch, Kjartan M.","contributorId":302699,"corporation":false,"usgs":false,"family":"Kinch","given":"Kjartan","email":"","middleInitial":"M.","affiliations":[{"id":65536,"text":"Niels Bohr Institute","active":true,"usgs":false}],"preferred":false,"id":865161,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Merusi, Marco","contributorId":302700,"corporation":false,"usgs":false,"family":"Merusi","given":"Marco","email":"","affiliations":[{"id":65536,"text":"Niels Bohr Institute","active":true,"usgs":false}],"preferred":false,"id":865162,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Million, Chase C.","contributorId":302701,"corporation":false,"usgs":false,"family":"Million","given":"Chase","email":"","middleInitial":"C.","affiliations":[{"id":64220,"text":"Million Concepts","active":true,"usgs":false}],"preferred":false,"id":865163,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sullivan, Robert","contributorId":229494,"corporation":false,"usgs":false,"family":"Sullivan","given":"Robert","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":865164,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Siljestrom, Sandra M.","contributorId":302702,"corporation":false,"usgs":false,"family":"Siljestrom","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":65537,"text":"RISE Research Institutes of Sweden","active":true,"usgs":false}],"preferred":false,"id":865165,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"St. Clair, Michael","contributorId":302703,"corporation":false,"usgs":false,"family":"St. Clair","given":"Michael","email":"","affiliations":[{"id":64220,"text":"Million Concepts","active":true,"usgs":false}],"preferred":false,"id":865166,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70240262,"text":"sir20225128 - 2023 - Groundwater quality near the Montebello Oil Field, Los Angeles County, California","interactions":[],"lastModifiedDate":"2023-09-18T19:56:22.528962","indexId":"sir20225128","displayToPublicDate":"2023-02-06T13:11:18","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":"2022-5128","displayTitle":"Groundwater Quality Near the Montebello Oil Field, Los Angeles County, California","title":"Groundwater quality near the Montebello Oil Field, Los Angeles County, California","docAbstract":"<p>Groundwater quality and potential sources and migration pathways of chemical constituents associated with hydrocarbon-bearing formations were assessed by the U.S. Geological Survey for the California State Water Resources Control Board Oil and Gas Regional Monitoring Program (RMP). Groundwater samples were collected as part of the RMP from 21 preexisting wells used for public supply, monitoring, or irrigation in and near the Montebello Oil Field and analyzed for constituents associated with hydrocarbon-bearing formations and constituents used to identify recently recharged groundwater and older groundwater. The newly collected RMP data were supplemented with historical sample data from 849 groundwater wells and analyzed with respect to explanatory factors that have the potential to influence water quality. Potential sources and migration pathways of fluids (water, gas, or oil) from hydrocarbon-bearing formations that could affect groundwater quality in the Montebello Oil Field include large volumes of recycled produced water (water withdrawn from an oil well and brought to the surface that may include oil, water, and gas from the geologic formation and water or gas injected for enhanced recovery) that have been reinjected since the 1960s to enhance oil production, oil and gas wells with well-integrity issues, and oil and gas wells with an uncemented annulus that intersects groundwater resource zones.<br>Trace amounts of dissolved petroleum hydrocarbons, thermogenic gas (propane through pentane range), or both, were detected in seven groundwater samples collected in 2014 and 2018 as part of the RMP. Five of those samples also contained manufactured volatile organic compounds and at least some modern-age groundwater (recharged during or after 1953), indicating that the hydrocarbons could have originated from surficial, or shallow, sources unrelated to oil and gas development. Two samples contained low concentrations of petroleum hydrocarbons (less than 0.1 microgram per liter) and did not contain detections of manufactured volatile organic compounds in pre-modern groundwater. These samples were collected from relatively deep wells (greater than 140 meters below land surface) with perforations completed in marine sediments that may contain water with similar compositions to produced water.<br>The RMP sample results and available historical data in and near the Montebello Oil Field did not provide conclusive evidence that oil and gas development has adversely affected groundwater resources. All samples with detectable petroleum hydrocarbons, thermogenic gases, or both, were collected from sites that also are within 500 meters of anthropogenic hydrocarbon sources not associated with oil and gas development or sources. In addition, naturally occurring sources of hydrocarbons that exist at intervals shallower than, or are in areas outside of, economically productive oil- and gas-producing zones could affect groundwater quality.<br>A definitive analysis of relations of groundwater quality to potential anthropogenic and natural explanatory factors was not possible because of the low density of new and historical sampling data, particularly in parts of the Montebello Oil Field where the largest relative risks to groundwater from hydrocarbon-bearing formations exist. Areas to consider for more detailed monitoring and analysis in the future that may present the largest relative potential risks to groundwater quality include (1) areas downgradient from historical surface ponds and sumps and (2) areas with co-located high net injection (oil reservoir injection exceeds production), old oil and gas wells that may be more likely to develop well-integrity issues than newer wells, and oil and gas wells with uncemented boreholes intersecting groundwater zones. To help fill gaps resulting from sparse groundwater wells, temperature and resistivity borehole log data could be analyzed to locate anomalies that identify potential areas where relatively warm or saline water from deeper hydrocarbon-bearing formations is present in groundwater.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225128","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Stanton, J.S., Land, M., Landon, M.K., Shimabukuro, D.H., McMahon, P.B., Davis, T.A., Hunt, A.G., and Sowers, T.A., 2023, Groundwater quality near the Montebello Oil Field, Los Angeles County, California: U.S. Geological Survey Scientific Investigations Report 2022–5128, 80 p., https://doi.org/10.3133/sir20225128.","productDescription":"Report: ix, 80 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-128118","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":412628,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FZ2SBH","text":"USGS data release","description":"USGS data release","linkHelpText":"Water chemistry data for samples collected at groundwater sites in the Montebello Oil Field study area, September 2014–October 2018, Los Angeles County, California"},{"id":412629,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5128/images"},{"id":412627,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225128/full","text":"Reports","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5128"},{"id":412626,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5128/sir20225128.pdf","text":"Report","size":"5.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5128"},{"id":412625,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5128/coverthb.jpg"},{"id":412630,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5128/sir20225128.XML"}],"country":"United States","state":"California","otherGeospatial":"Montebello Oil Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.12,\n              34.04\n            ],\n            [\n              -118.12,\n              34.00\n            ],\n            [\n              -118.02,\n              34.00\n            ],\n            [\n              -118.02,\n              34.04\n            ],\n            [\n              -118.12,\n              34.04\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"\" data-mce-href=\"\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study-Area Description</li><li>Data Used for Analyses</li><li>Factors That Could Affect Groundwater Quality</li><li>Groundwater Quality near the Montebello Oil Field</li><li>Potential Sources and Migration Pathways of Chemical Constituents</li><li>Study Limitations and Additional Analysis</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–4</li></ul>","publishedDate":"2023-02-06","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Land, Michael 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":171938,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":863144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Tracy A. 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":2715,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":863146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":863147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sowers, Theron A. 0000-0002-3208-5411","orcid":"https://orcid.org/0000-0002-3208-5411","contributorId":301944,"corporation":false,"usgs":false,"family":"Sowers","given":"Theron A.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":863148,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70256526,"text":"70256526 - 2023 - Predicting habitat and distribution of an interior highlands regional endemic winter stonefly (Allocapnia mohri) in Arkansas using random forest models","interactions":[],"lastModifiedDate":"2024-08-22T11:07:08.990132","indexId":"70256526","displayToPublicDate":"2023-02-06T11:29:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18324,"text":"Hydrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting habitat and distribution of an interior highlands regional endemic winter stonefly (Allocapnia mohri) in Arkansas using random forest models","docAbstract":"<p><span>Stoneflies are a globally threatened aquatic insect order. In Arkansas, a diverse group of winter stonefly (Capniidae:&nbsp;</span><span class=\"html-italic\">Allocapnia</span><span>) have not been surveyed since the 1980s, likely because species-level identification requires the rarely-collected adult form.&nbsp;</span><i><span class=\"html-italic\">Allocapnia mohri</span></i><span>, a regional endemic, was previously commonly found in mountainous, intermittent streams from the Ouachita Mountains ecoregion north to the Ozark Highlands, but no species distributional models including land use or climate variables exist to our knowledge. We collected adults from 71 stream reaches from the historic Arkansas range from November to April 2020 and 2021. We modeled distributions using random forest (RF) models populated with landscape, climate, and both data to determine which were most predictive of species presence. Correlations between landscape or climate variables and presence were examined using multiple logistic regression. The landscape RF models performed better than the climate or landscape + climate RF models.&nbsp;</span><i><span class=\"html-italic\">A. mohri</span></i><span>&nbsp;presence sites tended to have a greater elevation, a lower mean July temperature, and a greater percentage of very slow infiltration soils in the watershed, compared to absence sites.&nbsp;</span><i><span class=\"html-italic\">A. mohri</span></i><span>&nbsp;was absent at the Ouachita Mountains sites and may be experiencing a range contraction or migration northward.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/hydrobiology2010013","usgsCitation":"Annaratone, B., Larson, C., Prater, C., Dowling, A., Magoulick, D.D., and Evans-White, M.A., 2023, Predicting habitat and distribution of an interior highlands regional endemic winter stonefly (Allocapnia mohri) in Arkansas using random forest models: Hydrobiology, v. 2, no. 1, p. 196-211, https://doi.org/10.3390/hydrobiology2010013.","productDescription":"16 p.","startPage":"196","endPage":"211","ipdsId":"IP-148164","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":444581,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrobiology2010013","text":"Publisher Index Page"},{"id":433011,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.01694463644638,\n              36.49973760721201\n            ],\n            [\n              -94.64880267254001,\n              36.47406350173745\n            ],\n            [\n              -94.42836217709565,\n              35.38954127077116\n            ],\n            [\n              -94.47263609475836,\n              33.690237372303145\n            ],\n            [\n              -93.92329526083718,\n              33.50875350986783\n            ],\n            [\n              -93.15882305498532,\n              33.95704519399207\n            ],\n            [\n              -92.44070215460535,\n              34.644196725743356\n            ],\n            [\n              -91.1183522293626,\n              35.76377161713451\n            ],\n            [\n              -91.01694463644638,\n              36.49973760721201\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Annaratone, Brianna","contributorId":341024,"corporation":false,"usgs":false,"family":"Annaratone","given":"Brianna","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Camryn","contributorId":341025,"corporation":false,"usgs":false,"family":"Larson","given":"Camryn","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prater, Clay","contributorId":341026,"corporation":false,"usgs":false,"family":"Prater","given":"Clay","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowling, Ashley","contributorId":341027,"corporation":false,"usgs":false,"family":"Dowling","given":"Ashley","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans-White, Michelle A.","contributorId":341028,"corporation":false,"usgs":false,"family":"Evans-White","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907823,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266378,"text":"70266378 - 2023 - Evaluating the institutional and ecological effects of invasive species prevention policy: A case study from the U.S. Fish and Wildlife Service","interactions":[],"lastModifiedDate":"2025-05-06T13:53:23.902518","indexId":"70266378","displayToPublicDate":"2023-02-06T08:50:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the institutional and ecological effects of invasive species prevention policy: A case study from the U.S. Fish and Wildlife Service","docAbstract":"<p>Wildlife and natural resource institutions play key roles in invasive species monitoring and management. Paradoxically, the extensive fieldwork undertaken by these institutions and their partners may result in the inadvertent movement and spread of invasive species within and between sensitive ecosystems. In this work, we consider the potential effects of internal guidelines and policies designed to prevent the spread of invasive species by the field activities of management institutions and their partners. Such policies could be high-leverage tools for invasive species prevention, however, as large, complex organizations seek to implement policies to limit the spread of invasive species, it may be challenging to accommodate the wide diversity of potential invasion pathways and mitigation efforts facilitated via the programs, activities, and ecosystems they manage. Prevention policies may also be met with resistance due to the costs of implementation unless concrete benefits can be demonstrated. Assessing and communicating the effects of prevention policies could motivate improved implementation and adherence by institutional units and partners and could help inform adaptive policy changes. However, assessing the effectiveness of invasive species prevention presents a unique set of challenges, including incomplete data on invasive species distribution and pathways, that make it difficult to measure the effects of prevention efforts. In this work, we present a conceptual framework for evaluating institutional policies for invasive species prevention. We describe a flexible, multifaceted approach that considers policy implementation and adherence as well as ecological outcomes. We discuss potential application of this framework using a policy recently implemented by the Pacific Region of the U.S. Fish and Wildlife Service to prevent the introduction and spread of invasive species by service personnel and partners during field activities as a case study. </p>","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2023.14.2.06","usgsCitation":"Couch, C., Peterson, J., and Heimowitz, P., 2023, Evaluating the institutional and ecological effects of invasive species prevention policy: A case study from the U.S. Fish and Wildlife Service: Management of Biological Invasions, v. 14, no. 2, p. 269-288, https://doi.org/10.3391/mbi.2023.14.2.06.","productDescription":"20 p.","startPage":"269","endPage":"288","ipdsId":"IP-136898","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.3391/mbi.2023.14.2.06","text":"Publisher Index Page"},{"id":485442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Couch, Claire E.","contributorId":354510,"corporation":false,"usgs":false,"family":"Couch","given":"Claire E.","affiliations":[{"id":84634,"text":"Oregon State University Department of Fisheries","active":true,"usgs":false}],"preferred":false,"id":935782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heimowitz, Paul","contributorId":354511,"corporation":false,"usgs":false,"family":"Heimowitz","given":"Paul","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":935784,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70241253,"text":"70241253 - 2023 - Ice and ocean constraints on early human migrations into North America along the Pacific Coast","interactions":[],"lastModifiedDate":"2023-03-16T13:29:11.876097","indexId":"70241253","displayToPublicDate":"2023-02-06T08:21:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Ice and ocean constraints on early human migrations into North America along the Pacific Coast","docAbstract":"<p><span>Founding populations of the first Americans likely occupied parts of Beringia during the Last Glacial Maximum (LGM). The timing, pathways, and modes of their southward transit remain unknown, but blockage of the interior route by North American ice sheets between ~26 and 14 cal kyr BP (ka) favors a coastal route during this period. Using models and paleoceanographic data from the North Pacific,&nbsp;we identify climatically favorable intervals when humans could have plausibly traversed the Cordilleran coastal corridor during the terminal Pleistocene. Model simulations suggest that northward coastal currents strengthened during the LGM and at times of enhanced freshwater input, making southward transit by boat more difficult. Repeated Cordilleran glacial-calving events would have further challenged coastal transit on land and at sea. Following these events, ice-free coastal areas opened and seasonal sea ice was present along the Alaskan margin until at least 15 ka. Given evidence for humans south of the ice sheets by 16 ka and possibly earlier, we posit that early people may have taken advantage of winter sea ice that connected islands and coastal refugia. Marine ice-edge habitats offer a rich food supply and traversing coastal sea ice could have mitigated the difficulty of traveling southward in watercraft or on land over glaciers.&nbsp;We identify 24.5 to 22 ka and 16.4 to 14.8 ka as environmentally favorable time periods for coastal migration, when climate conditions provided both winter sea ice and ice-free summer conditions that facilitated year-round marine resource diversity and multiple modes of mobility along the&nbsp;North Pacific coast.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2208738120","usgsCitation":"Praetorius, S.K., Alder, J.R., Condron, A., Mix, A., Walczak, M., Caissie, B.E., and Erlandson, J., 2023, Ice and ocean constraints on early human migrations into North America along the Pacific Coast: Proceedings of the National Academy of Sciences, v. 120, no. 7, e2208738120, 11 p., https://doi.org/10.1073/pnas.2208738120.","productDescription":"e2208738120, 11 p.","ipdsId":"IP-133916","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":444585,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://archimer.ifremer.fr/doc/00820/93170/","text":"Publisher Index Page"},{"id":435467,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95V8DP2","text":"USGS data release","linkHelpText":"Data release for Ice and ocean constraints on early human migrations into North America along the Pacific coast"},{"id":414279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Pacific Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.72062762561171,\n              38.37875574725757\n            ],\n            [\n              -119.99459846253501,\n              39.301388384686106\n            ],\n            [\n              -122.4899431341521,\n              50.08880882681328\n            ],\n            [\n              -133.2466928684764,\n              60.77522068257534\n            ],\n            [\n              -146.986168078397,\n              63.47516560131629\n            ],\n            [\n              -159.91403683656446,\n              70.55186684208343\n            ],\n            [\n              -169.5393000094379,\n              69.74709289484804\n            ],\n            [\n              -170.83530973680112,\n              63.391879804034915\n            ],\n            [\n              -179.9,\n              50.520343621759565\n            ],\n            [\n              -156.35796682332455,\n              54.28410261306894\n            ],\n            [\n              -142.96073969458683,\n              58.298844624993336\n            ],\n            [\n              -129.39963004812796,\n              49.10107755766387\n            ],\n            [\n              -126.51878468736493,\n              43.42260588965587\n            ],\n            [\n              -123.72062762561171,\n              38.37875574725757\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"120","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Praetorius, Summer K. 0000-0003-2683-3652","orcid":"https://orcid.org/0000-0003-2683-3652","contributorId":206966,"corporation":false,"usgs":true,"family":"Praetorius","given":"Summer","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":866664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Condron, Alan","contributorId":303134,"corporation":false,"usgs":false,"family":"Condron","given":"Alan","affiliations":[{"id":34495,"text":"Woods Hole Oceanographic Inst.","active":true,"usgs":false}],"preferred":false,"id":866665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mix, Alan","contributorId":303135,"corporation":false,"usgs":false,"family":"Mix","given":"Alan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":866666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walczak, Maureen","contributorId":303136,"corporation":false,"usgs":false,"family":"Walczak","given":"Maureen","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":866667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866668,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erlandson, Jon","contributorId":303137,"corporation":false,"usgs":false,"family":"Erlandson","given":"Jon","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":866669,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243008,"text":"70243008 - 2023 - Do nurse plant effects strengthen over time? Results from 12 years of desert habitat restoration","interactions":[],"lastModifiedDate":"2023-04-26T11:48:25.46334","indexId":"70243008","displayToPublicDate":"2023-02-06T06:45:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Do nurse plant effects strengthen over time? Results from 12 years of desert habitat restoration","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Nurse plant effects occur when benefactor perennials facilitate beneficiary plants below their canopies. Two poorly understood aspects of nurse plant ecology include whether facilitation strengthens as nurse plants mature and whether reestablishing perennials through ecological restoration at disturbed sites can trigger facilitation akin to in natural plant communities. We examined these uncertainties in a 12-year study by assessing plant communities below native perennials outplanted at disturbed sites and as compared with open interspaces and perennials in undisturbed sites in Joshua Tree National Park, Mojave Desert, USA. An overarching conclusion was that facilitation by outplants was intermittent. Results did not consistently support a hypothesis that facilitation strengthened as outplants matured, as the nuanced results hinged on beneficiary response metrics (cover or species richness), group of potential beneficiary species (e.g., native, non-native), and measurement year. There was, however, a general trend for beneficiary plant groups below outplants to shift through time. Non-native plant cover initially benefited when outplants were 1–9&nbsp;years old, but this switched to native plants benefiting as outplants matured (9–12&nbsp;years old). Facilitation was not strongest in dry years nor was nurse canopy cover usually strongly correlated with beneficiary metrics. An encouraging result for ecological restoration was that reestablishing native perennials appeared to disproportionately facilitate other native over non-native plants as restoration sites matured.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s11258-023-01297-2","usgsCitation":"Abella, S.R., Chiquoine, L.P., Balogh, M.A., Taylor, A.J., and Munson, S.M., 2023, Do nurse plant effects strengthen over time? Results from 12 years of desert habitat restoration: Plant Ecology, v. 224, p. 299-314, https://doi.org/10.1007/s11258-023-01297-2.","productDescription":"16 p.","startPage":"299","endPage":"314","ipdsId":"IP-149021","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":416364,"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              -116.671454580763,\n              35.96757213335154\n            ],\n            [\n              -116.671454580763,\n              34.25184610945905\n            ],\n            [\n              -114.27746484820872,\n              34.25184610945905\n            ],\n            [\n              -114.27746484820872,\n              35.96757213335154\n            ],\n            [\n              -116.671454580763,\n              35.96757213335154\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"224","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Abella, Scott R.","contributorId":304443,"corporation":false,"usgs":false,"family":"Abella","given":"Scott","email":"","middleInitial":"R.","affiliations":[{"id":66070,"text":"University of Nevada Las Vegas, School of Life Sciences, Las Vegas, NV 89154-4004, USA","active":true,"usgs":false}],"preferred":false,"id":870542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiquoine, Lindsay P.","contributorId":167778,"corporation":false,"usgs":false,"family":"Chiquoine","given":"Lindsay","email":"","middleInitial":"P.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":870543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balogh, Mary A.","contributorId":304444,"corporation":false,"usgs":false,"family":"Balogh","given":"Mary","email":"","middleInitial":"A.","affiliations":[{"id":66070,"text":"University of Nevada Las Vegas, School of Life Sciences, Las Vegas, NV 89154-4004, USA","active":true,"usgs":false}],"preferred":false,"id":870544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Adam J.","contributorId":304445,"corporation":false,"usgs":false,"family":"Taylor","given":"Adam","email":"","middleInitial":"J.","affiliations":[{"id":66070,"text":"University of Nevada Las Vegas, School of Life Sciences, Las Vegas, NV 89154-4004, USA","active":true,"usgs":false}],"preferred":false,"id":870545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":870546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240443,"text":"70240443 - 2023 - Integrating urban water fluxes and moving beyond impervious surface cover: A review","interactions":[],"lastModifiedDate":"2023-02-08T12:47:00.107874","indexId":"70240443","displayToPublicDate":"2023-02-06T06:44:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating urban water fluxes and moving beyond impervious surface cover: A review","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">Though urban areas represent a small fraction of global land cover, they have an outsized impact on hydrological processes. Within these areas, the pathways that water follows are fundamentally transformed by the disturbance of soils, land cover, vegetation, topography, and built infrastructure. While progress has been made across many cities to quantify interactions between hydrological processes and the urban environment, many fundamental questions remain unanswered. In this article, we review the state of urban hydrologic science, with an eye towards identifying gaps in our understanding of how water flows through built landscapes. Our review focuses on key topics within urban hydrology related to water quantity, including runoff and streamflow generation, soils and soil water, groundwater, vegetation, and climate. We also describe some of the challenges and opportunities within the field of urban hydrology that we envision will drive future work and collaboration.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2023.129188","usgsCitation":"Oswald, C., Kelleher, C., Ledford, S., Hopkins, K.G., Sytsma, A., Tetzlaff, D., Toran, L., and Voter, C., 2023, Integrating urban water fluxes and moving beyond impervious surface cover: A review: Journal of Hydrology, v. 618, 129188, 25 p., https://doi.org/10.1016/j.jhydrol.2023.129188.","productDescription":"129188, 25 p.","ipdsId":"IP-144954","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":412867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"618","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oswald, Claire","contributorId":302231,"corporation":false,"usgs":false,"family":"Oswald","given":"Claire","email":"","affiliations":[{"id":65447,"text":"Toronto Metropolitan University","active":true,"usgs":false}],"preferred":false,"id":863812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelleher, Christa","contributorId":242798,"corporation":false,"usgs":false,"family":"Kelleher","given":"Christa","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":863813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ledford, Sarah","contributorId":300624,"corporation":false,"usgs":false,"family":"Ledford","given":"Sarah","email":"","affiliations":[{"id":52554,"text":"Georgia State University","active":true,"usgs":false}],"preferred":false,"id":863814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":863815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sytsma, Anneliese","contributorId":302232,"corporation":false,"usgs":false,"family":"Sytsma","given":"Anneliese","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":863816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tetzlaff, Doerthe","contributorId":302233,"corporation":false,"usgs":false,"family":"Tetzlaff","given":"Doerthe","email":"","affiliations":[{"id":65448,"text":"Humboldt University Berlin","active":true,"usgs":false}],"preferred":false,"id":863817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":863818,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voter, Carolyn","contributorId":302234,"corporation":false,"usgs":false,"family":"Voter","given":"Carolyn","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":863819,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70242966,"text":"70242966 - 2023 - Dynamics of the wave-driven circulation in the lee of nearshore reefs","interactions":[],"lastModifiedDate":"2023-04-25T11:45:54.368684","indexId":"70242966","displayToPublicDate":"2023-02-06T06:41:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12811,"text":"JGR-Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of the wave-driven circulation in the lee of nearshore reefs","docAbstract":"<div class=\"article-section__content en main\"><p>Nearshore rocky reefs with scales of order 10–100&nbsp;m are common along the world's coastline and often shape wave-driven hydrodynamics and shoreline morphology in their lee. The interaction of waves with these reefs generally results in either two or four-cell mean circulation systems (2CC and 4CC, respectively), with diverging flows behind the reefs and at the shoreline in the 2CC case and flows that diverge in the lee and converge at the shoreline in the 4CC case. By applying a phase-resolving wave-flow model to conduct a&nbsp;detailed analysis of mean momentum balances for waves interacting with nearshore reefs, we develop an understanding of the drivers of 2CC and 4CC flow dynamics and how they vary for different reef geometries and wave and&nbsp;water&nbsp;level&nbsp;conditions. The 2CC or 4CC patterns were primarily driven by alongshore pressure gradients toward the exposed (nonreef fronted) or reef-fronted beach. These alongshore pressure gradients were dependent on the cross-shore setup dynamics governed by the balance between pressure (i.e., related to the setup) and radiation stress gradients, and mean bottom stresses exerted on the water column. If shoreline wave setup in the lee of the reef was less than the exposed beach, a 4CC pattern developed with convergent flow at the shoreline in the lee of the reef; otherwise, a 2CC emerged with divergent flow at the shoreline. Across the parameter space investigated, reef roughness, distance to the shoreline, and beach slope were the three parameters most likely to change the flow patterns between 2CC and 4CC.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JC019013","usgsCitation":"da Silva, R.F., Hansen, J., Lowe, R., Rijnsdorp, D.P., and Buckley, M.L., 2023, Dynamics of the wave-driven circulation in the lee of nearshore reefs: JGR-Oceans, v. 128, no. 3, e2022JC019013, 25 p., https://doi.org/10.1029/2022JC019013.","productDescription":"e2022JC019013, 25 p.","ipdsId":"IP-139998","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jc019013","text":"Publisher Index Page"},{"id":416227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"da Silva, Renan F.","contributorId":304414,"corporation":false,"usgs":false,"family":"da Silva","given":"Renan","email":"","middleInitial":"F.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":870367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Jeff","contributorId":304415,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":870368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, Ryan","contributorId":304417,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":870370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rijnsdorp, Dirk P.","contributorId":304416,"corporation":false,"usgs":false,"family":"Rijnsdorp","given":"Dirk","email":"","middleInitial":"P.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":870369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":870371,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240647,"text":"70240647 - 2023 - Hawai‘i residents’ perceptions of Kīlauea’s 2018 eruption information","interactions":[],"lastModifiedDate":"2023-02-10T13:19:04.275323","indexId":"70240647","displayToPublicDate":"2023-02-05T07:17:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Hawai‘i residents’ perceptions of Kīlauea’s 2018 eruption information","docAbstract":"<div id=\"summary\" class=\"article-summary\"><div class=\"article-abstract\"><p>The 2018 eruption of Kīlauea Volcano was notable for its variety of large and spatially distinct hazards, simultaneously affecting three geographically disparate, culturally diverse regions in Hawaiʻi. We conducted a pilot study, consisting of 18 semi-structured interviews, two survey responses, and several informal conversations with Hawaiʻi residents to learn which sources/messengers of eruption information were deemed most trusted and credible. Participants' perceptions of the U.S. Geological Survey Hawaiian Volcano Observatory (HVO), community-based messengers, and traditional news media can be examined across four themes: relevance, expertise, sincerity, and pace. Among our interview participants, Lower East Rift Zone (LERZ) residents placed the highest trust in their community messengers, summit residents deemed HVO most trustworthy, and Kaʻū residents trusted information from both HVO and local news media. Our findings suggest that future official eruption communications would benefit from 1) designating communications personnel to act as community liaisons and 2) increasing pace and relevance of information delivery.</p></div></div>","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol.06.01.1943","usgsCitation":"Goldman, R.T., Stovall, W., Damby, D., and McBride, S., 2023, Hawai‘i residents’ perceptions of Kīlauea’s 2018 eruption information: Volcanica, v. 6, no. 1, p. 19-43, https://doi.org/10.30909/vol.06.01.1943.","productDescription":"25 p.","startPage":"19","endPage":"43","ipdsId":"IP-135282","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":444593,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.06.01.1943","text":"Publisher Index Page"},{"id":412942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.35996813838153,\n              19.571076336532286\n            ],\n            [\n              -155.35996813838153,\n              19.26295393779104\n            ],\n            [\n              -155.0469907021657,\n              19.26295393779104\n            ],\n            [\n              -155.0469907021657,\n              19.571076336532286\n            ],\n            [\n              -155.35996813838153,\n              19.571076336532286\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Goldman, Robert T. 0000-0001-5727-5353","orcid":"https://orcid.org/0000-0001-5727-5353","contributorId":302348,"corporation":false,"usgs":false,"family":"Goldman","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":38021,"text":"University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":864097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stovall, Wendy K. 0000-0003-2518-2595","orcid":"https://orcid.org/0000-0003-2518-2595","contributorId":214673,"corporation":false,"usgs":true,"family":"Stovall","given":"Wendy K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":864098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":864099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":864100,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262362,"text":"70262362 - 2023 - Birth rates and neonate survival in a parasite rich moose population in Vermont, USA","interactions":[],"lastModifiedDate":"2025-01-23T15:49:46.104582","indexId":"70262362","displayToPublicDate":"2023-02-05T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":693,"text":"Alces","active":true,"publicationSubtype":{"id":10}},"title":"Birth rates and neonate survival in a parasite rich moose population in Vermont, USA","docAbstract":"<p><span>Moose (</span><i>Alces alces</i><span>) populations are declining across much of their southern geographic range in North America. In Vermont and other northeastern states, measurable declines are attributed to low calf survival and reduced productivity associated with persistent winter tick (</span><i>Dermacentor albipictus</i><span>) parasitism. In 2017–2020, we studied 75 radio-collared female moose (38 calves and 37 adults) in Vermont to examine physiological, spatial, and temporal parameters relative to calf survival and adult productivity. Physiological measures included concentration of fecal glucocorticoid metabolites (fGCM) which reflects stress, and urea nitrogen:creatinine ratios in urine (UN:C) which proxy nutritional state. The pregnancy rate at capture across years was 0.67 (95% CI = 0.50 – 0.80), and was negatively related to presence of lungworm (</span><i>Dictyocaulus</i><span>&nbsp;spp.). The birth rate calculated as the average number of offspring delivered per adult female was &lt;1.0 overall (2017–2020, LCI = 0.22, UCI = 0.86), similar across years, but increased with age. Logistic exposure models indicated that daily calf survival to 60 d increased as Julian birth date and days since birth increased (log odds = 0.0819, SE = 0.0215). The per capita independence rate, or rate that adult females add independent calves to the population, was negatively related to UN:C ratios and positively with fGCM. Further, this rate was related to autumnal habitat use of adult females; it was greater in home ranges characterized by large amounts of mature (canopy) evergreen forests and wetland habitats, and small amounts of mixed forests and elevation than in ranges with abundant levels of mixed forest at high elevation. We conclude that winter ticks can negatively affect moose fecundity, and efforts to reduce host (moose) density through harvest or parasite (host) abundance through habitat manipulation may improve productivity and recruitment in local moose populations.</span></p>","language":"English","publisher":"Lakehead University","usgsCitation":"DeBow, J., Blouin, J., Rosenblatt, E., Alexander, C., Fortin, N., Gieder, K., Murdoch, J., and Donovan, T.M., 2023, Birth rates and neonate survival in a parasite rich moose population in Vermont, USA: Alces, v. 58, p. 51-73.","productDescription":"23 p.","startPage":"51","endPage":"73","ipdsId":"IP-139061","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480995,"rank":1,"type":{"id":15,"text":"Index 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James","contributorId":349022,"corporation":false,"usgs":false,"family":"Murdoch","given":"James","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":923929,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923931,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257342,"text":"70257342 - 2023 - Oral Sampling of little brown bat (Myotis lucifugus) maternity colonies for SARS-CoV-2 in the Northeast and Mid-Atlantic, USA","interactions":[],"lastModifiedDate":"2024-08-28T17:10:05.739168","indexId":"70257342","displayToPublicDate":"2023-02-04T09:54:28","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"Oral Sampling of little brown bat (Myotis lucifugus) maternity colonies for SARS-CoV-2 in the Northeast and Mid-Atlantic, USA","docAbstract":"<p>T<span>he potential introduction of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, into North American bat populations is of interest to wildlife managers due to recent disease-mediated declines of several species. Populations of little brown bats (</span><span class=\"html-italic\">Myotis lucifugus</span><span>) have collapsed due to white-nose syndrome (WNS), a disease caused by the introduction and spread of the fungal pathogen&nbsp;</span><span class=\"html-italic\">Pseudogymnoascus destructans</span><span>&nbsp;(</span><span class=\"html-italic\">Pd</span><span>). Throughout much of the United States and southern Canada, large colonies of the species routinely established diurnal roosts in anthropogenic structures, thereby creating the potential for direct human contact and cross-species disease transmission. Given recent declines and the potential for further disease impacts, we collected oral swabs from eight little brown bat maternity colonies to assess the presence and prevalence of SARS-CoV-2 by RT-qPCR analysis. Little brown bat colonies in Maryland (</span><span class=\"html-italic\">n</span><span>&nbsp;= 1), New Hampshire (</span><span class=\"html-italic\">n</span><span>&nbsp;= 1), New Jersey (</span><span class=\"html-italic\">n</span><span>&nbsp;= 2), New York (</span><span class=\"html-italic\">n</span><span>&nbsp;= 1), Rhode Island (</span><span class=\"html-italic\">n</span><span>&nbsp;= 2), and Virginia (</span><span class=\"html-italic\">n</span><span>&nbsp;= 1) were taken during May-August, 2022. From 235 assayed individuals, no bat tested positive for SARS-CoV-2. Our results indicate that little brown bats may not contract SARS-CoV-2 or that the virus persists at undetectable levels in populations of the Mid-Atlantic and Northeast during summer months. Nonetheless, continued monitoring and future work addressing other seasons may still be warranted to conclusively determine infection status.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/ani13040550","usgsCitation":"Moran, M.L., Boyd, W., De La Cruz, J.L., Bertke, A.S., and Ford, W., 2023, Oral Sampling of little brown bat (Myotis lucifugus) maternity colonies for SARS-CoV-2 in the Northeast and Mid-Atlantic, USA: Animals, v. 13, no. 4, 550, 10 p., https://doi.org/10.3390/ani13040550.","productDescription":"550, 10 p.","ipdsId":"IP-148168","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":444594,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani13040550","text":"Publisher Index Page"},{"id":433258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New Hampshire, New Jersey, 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 \"}}]}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Moran, Megan L.","contributorId":342360,"corporation":false,"usgs":false,"family":"Moran","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":910021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, William","contributorId":342361,"corporation":false,"usgs":false,"family":"Boyd","given":"William","email":"","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":910022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De La Cruz, Jesse L.","contributorId":270672,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","email":"","middleInitial":"L.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":910023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertke, Andrea S.","contributorId":342365,"corporation":false,"usgs":false,"family":"Bertke","given":"Andrea","email":"","middleInitial":"S.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":910024,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":910025,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260146,"text":"70260146 - 2023 - Dating individual zones in phenocrysts from the 2016–2017 eruption of Bogoslof volcano provides constraints on timescales of magmatic processes","interactions":[],"lastModifiedDate":"2024-10-29T14:32:35.765073","indexId":"70260146","displayToPublicDate":"2023-02-04T09:26:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Dating individual zones in phenocrysts from the 2016–2017 eruption of Bogoslof volcano provides constraints on timescales of magmatic processes","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><div id=\"sp0065\" class=\"u-margin-s-bottom\"><span>We investigate the rates of magmatic processes using&nbsp;clinopyroxene&nbsp;diffusion chronometry on volcanic products erupted in August 2017 at the end of the 9-month eruption of Bogoslof volcano. The eruptive products contain plagioclase,&nbsp;clinopyroxene, and&nbsp;amphibole, all of which exhibit sharp chemical boundaries and are occasionally observed in multi-phase crystal clots with shared zoning boundaries across different mineral phases. At the shared boundaries in crystal clots, clinopyroxene and plagioclase continued to grow but abruptly changed composition from Mg# 81.7&nbsp;±&nbsp;5.8 to 72.9&nbsp;±&nbsp;3.0 and An</span><sub>82.5±1.4</sub><span>&nbsp;</span>to An<sub>61.3±5.7</sub><span>, respectively. Additionally, the sharp boundary marks where&nbsp;amphibole&nbsp;became unstable and began forming a reaction rim. Synthesizing these observations, we were able to determine that the shared boundaries formed as a result of rapid decompression during&nbsp;magma&nbsp;ascent, followed by storage in a shallow cryptodome, where&nbsp;magma&nbsp;accumulated prior to erupting.</span></div><div class=\"u-margin-s-bottom\"><span><br data-mce-bogus=\"1\"></span></div><div id=\"sp0070\" class=\"u-margin-s-bottom\"><span>In order to determine the timescales of magma ascent and subsequent crystal residence times, we applied diffusion chronometry on zoned clinopyroxene&nbsp;phenocrysts&nbsp;using Mg# concentrations at 1056&nbsp;°C determined from Fe</span><img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\">Ti oxide pairs. Our diffusion modeling results show that diffusion began at the stepwise boundaries in clinopyroxenes no more than180&nbsp;days before the final explosive event.</div><div class=\"u-margin-s-bottom\"><br data-mce-bogus=\"1\"></div><div id=\"sp0075\" class=\"u-margin-s-bottom\">These results were then used to calculate crystal growth rates for shared plagioclase and amphibole rims, as shared zones in crystal clots indicate that the boundaries in all three phases formed contemporaneously. We calculate growth rates of plagioclase crystals (1.7&nbsp;±&nbsp;0.99&nbsp;×&nbsp;10<sup>−6</sup><span>&nbsp;</span>um/s) and amphibole reaction rims (2.8&nbsp;±&nbsp;0.47&nbsp;×&nbsp;10<sup>−6</sup><span>&nbsp;</span>um/s). The calculated natural growth rate of plagioclase was then used to constrain additional magmatic timescales from growth rate chronometry, results of which support our diffusion timescales.</div><div class=\"u-margin-s-bottom\"><br data-mce-bogus=\"1\"></div><div id=\"sp0080\" class=\"u-margin-s-bottom\"><span>Our results indicate that the distinct boundaries in all three mineral phases formed due to ascent-driven decompression followed by shallow emplacement of mafic magma that occurred continually throughout the course of the eruption. By subtracting diffusion timescales from the date that the samples were erupted, the oldest crystal boundaries correspond to March 2017, seemingly correlating with increases in both&nbsp;seismicity&nbsp;and SO</span><sub>2</sub><span>&nbsp;</span>emissions. These observations may suggest that our petrochronometric results are supported by interdisciplinary observations.</div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2022.107741","usgsCitation":"Moshrefzadeh, J., Izbekof, P., Loewen, M.W., Larsen, J., and Regan, S., 2023, Dating individual zones in phenocrysts from the 2016–2017 eruption of Bogoslof volcano provides constraints on timescales of magmatic processes: Journal of Volcanology and Geothermal Research, v. 435, 107741, 16 p., https://doi.org/10.1016/j.jvolgeores.2022.107741.","productDescription":"107741, 16 p.","ipdsId":"IP-140665","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2022.107741","text":"Publisher Index Page"},{"id":463335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -168.04917846434188,\n              53.937993642724905\n            ],\n            [\n              -168.04917846434188,\n              53.92389191228028\n            ],\n            [\n              -168.0270096873428,\n              53.92389191228028\n            ],\n            [\n              -168.0270096873428,\n              53.937993642724905\n            ],\n            [\n              -168.04917846434188,\n              53.937993642724905\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"435","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moshrefzadeh, Jamshid 0000-0001-7333-5651","orcid":"https://orcid.org/0000-0001-7333-5651","contributorId":242807,"corporation":false,"usgs":false,"family":"Moshrefzadeh","given":"Jamshid","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":917192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbekof, Pavel 0000-0001-9052-7655","orcid":"https://orcid.org/0000-0001-9052-7655","contributorId":242806,"corporation":false,"usgs":false,"family":"Izbekof","given":"Pavel","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":917193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Jessica 0000-0003-1171-129X","orcid":"https://orcid.org/0000-0003-1171-129X","contributorId":242808,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":917195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, Sean P.","contributorId":219815,"corporation":false,"usgs":false,"family":"Regan","given":"Sean P.","affiliations":[{"id":13599,"text":"University of Alaska - Fairbanks","active":true,"usgs":false}],"preferred":false,"id":917196,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240360,"text":"70240360 - 2023 - Prevalence of neonicotinoid insecticides in paired private-well tap water and human urine samples in a region of intense agriculture overlying vulnerable aquifers in eastern Iowa","interactions":[],"lastModifiedDate":"2023-02-06T13:27:11.369044","indexId":"70240360","displayToPublicDate":"2023-02-04T07:24:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of neonicotinoid insecticides in paired private-well tap water and human urine samples in a region of intense agriculture overlying vulnerable aquifers in eastern Iowa","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">A pilot study among farming households in eastern Iowa was conducted to assess human exposure to neonicotinoids (NEOs). The study was in a region with intense crop and livestock production and where groundwater is vulnerable to surface-applied contaminants. In addition to paired outdoor (hydrant) water and indoor (tap) water samples from private wells, urine samples were collected from 47 adult male pesticide applicators along with the completions of dietary and occupational surveys. Estimated Daily Intake (EDI) were then calculated to examine exposures for different aged family members. NEOs were detected in 53% of outdoor and 55% of indoor samples, with two or more NEOs in 13% of samples. Clothianidin was the most frequently detected NEO in water samples. Human exposure was ubiquitous in urine samples. A median of 10 different NEOs and/or metabolites were detected in urine, with clothianidin, nitenpyram, thiamethoxam, 6-chloronicotinic acid, and thiacloprid amide detected in every urine samples analyzed. Dinotefuran, imidaclothiz, acetamiprid-<i>N</i>-desmethyl, and<span>&nbsp;</span><i>N</i>-desmethyl thiamethoxam were found in ≥70% of urine samples. Observed water intake for study participants and EDIs were below the chronic reference doses (CRfD) and acceptable daily intake (ADI) standards for all NEOs indicating minimal risk from ingestion of tap water. The study results indicate that while the consumption of private well tap water provides a human exposure pathway, the companion urine results provide evidence that diet and/or other exposure pathways (e.g., occupational, house dust) may contribute to exposure more than water contamination. Further biomonitoring research is needed to better understand the scale of human exposure from different sources.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2023.137904","usgsCitation":"Thompson, D., Kolpin, D., Hladik, M.L., Lehmler, H., Meppelink, S.M., Poch, M., Vargo, J., Soupene, V., Irfan, N., Robinson, M., Kannan, K., Beane Freeman, L., Hogmann, J., Cwiertny, D., and Field, R., 2023, Prevalence of neonicotinoid insecticides in paired private-well tap water and human urine samples in a region of intense agriculture overlying vulnerable aquifers in eastern Iowa: Chemosphere, v. 319, 137904, 12 p., https://doi.org/10.1016/j.chemosphere.2023.137904.","productDescription":"137904, 12 p.","ipdsId":"IP-140023","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":444597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9957962","text":"Publisher Index Page"},{"id":412732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.11835397844659,\n              41.84775627285384\n            ],\n            [\n              -90.11835397844659,\n              43.030939782115155\n            ],\n            [\n              -92.77591677017347,\n              43.030939782115155\n            ],\n            [\n              -92.77591677017347,\n              41.84775627285384\n            ],\n            [\n              -90.11835397844659,\n              41.84775627285384\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"319","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, D.A.","contributorId":257986,"corporation":false,"usgs":false,"family":"Thompson","given":"D.A.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":863567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":302121,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehmler, H-J.","contributorId":302122,"corporation":false,"usgs":false,"family":"Lehmler","given":"H-J.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":863570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":205653,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poch, M.C.","contributorId":302124,"corporation":false,"usgs":false,"family":"Poch","given":"M.C.","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":863572,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vargo, J.D.","contributorId":257987,"corporation":false,"usgs":false,"family":"Vargo","given":"J.D.","email":"","affiliations":[{"id":6768,"text":"University of 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S.","contributorId":252883,"corporation":false,"usgs":false,"family":"Robinson","given":"M. S.","affiliations":[{"id":36436,"text":"Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":863576,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kannan, K.","contributorId":302132,"corporation":false,"usgs":false,"family":"Kannan","given":"K.","affiliations":[{"id":65423,"text":"New York University School of Medicine","active":true,"usgs":false}],"preferred":false,"id":863577,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Beane Freeman, L.E.","contributorId":302134,"corporation":false,"usgs":false,"family":"Beane Freeman","given":"L.E.","affiliations":[{"id":29855,"text":"National Cancer Institute","active":true,"usgs":false}],"preferred":false,"id":863578,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hogmann, J.N.","contributorId":302136,"corporation":false,"usgs":false,"family":"Hogmann","given":"J.N.","email":"","affiliations":[{"id":65425,"text":"University of Dhaka","active":true,"usgs":false}],"preferred":false,"id":863579,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cwiertny, D.M.","contributorId":268360,"corporation":false,"usgs":false,"family":"Cwiertny","given":"D.M.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":863580,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Field, R.W.","contributorId":257988,"corporation":false,"usgs":false,"family":"Field","given":"R.W.","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":863581,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70240729,"text":"70240729 - 2023 - A restructured Bayesian approach to estimate the abundance of a rare and invasive fish","interactions":[],"lastModifiedDate":"2023-05-25T15:45:17.03652","indexId":"70240729","displayToPublicDate":"2023-02-04T07:20:54","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":"A restructured Bayesian approach to estimate the abundance of a rare and invasive fish","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section c-article-content-visibility\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Quantifying invasive species abundance informs management and control strategies. However, estimating abundance can be challenging, particularly when dealing with rare species early in the invasion process. Data generated from control strategies, such as removing invasive species, are usually not suited to conventional statistical modelling approaches. Hence, we developed a Bayesian model using data generated by a grass carp (<i>Ctenopharyngodon idella</i>) control program in the Sandusky River, Ohio (USA) for estimating the abundance of rare, invasive species. The model is a restructured N-mixture model modified to incorporate the data generating process (i.e., setting a trammel net to isolate a sampling area followed by boat-mounted electrofishing). Allowing the estimation of grass carp abundance from the species removal data, which had very few detections relative to the sampling effort. Our results indicated that the average number of grass carp present in the river at any one time did not change substantially from 2018 to 2020. The highest abundance estimates were in the lower and upper-middle segments of the river, suggesting possible recolonization from Lake Erie, and possibly other tributaries. Ultimately, the ability to use species-control data to estimate abundance provides important information for management, particularly for invasive ‘sleeper’ species in freshwater ecosystems.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10530-023-03006-6","usgsCitation":"Gouveia, A., Qian, S.S., Mayer, C.A., Smith, J.A., Bossenbroek, J., Hintz, W.D., Mapes, R., Weimer, E., Navarro, J., Dettmers, J.M., Young, R., Buszkiewicz, J., and Kocovsky, P.M., 2023, A restructured Bayesian approach to estimate the abundance of a rare and invasive fish: Biological Invasions, v. 25, p. 1711-1721, https://doi.org/10.1007/s10530-023-03006-6.","productDescription":"11 p.","startPage":"1711","endPage":"1721","ipdsId":"IP-131639","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":413170,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.17770473625303,\n              41.308643520054744\n            ],\n            [\n              -82.89527024570958,\n              41.308643520054744\n            ],\n            [\n              -82.89527024570958,\n              41.49866213865516\n            ],\n            [\n              -83.17770473625303,\n              41.49866213865516\n            ],\n            [\n              -83.17770473625303,\n              41.308643520054744\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","noUsgsAuthors":false,"publicationDate":"2023-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gouveia, Ana R.","contributorId":302502,"corporation":false,"usgs":false,"family":"Gouveia","given":"Ana R.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":864556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, S. 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,{"id":70240271,"text":"70240271 - 2023 - United States Gulf of Mexico waters provide important nursery habitat for Mexico’s green turtle nesting populations","interactions":[],"lastModifiedDate":"2023-03-28T14:35:05.658289","indexId":"70240271","displayToPublicDate":"2023-02-03T10:04:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"United States Gulf of Mexico waters provide important nursery habitat for Mexico’s green turtle nesting populations","docAbstract":"Resolving natal populations for juvenile green turtles is challenging given their potential for extensive dispersal during the oceanic stage and ontogenetic shifts among nursery habitats. Mitochondrial DNA markers have elucidated patterns of connectivity between green turtle nesting populations (rookeries) and juvenile foraging aggregations. However, missing rookery baseline data and haplotype sharing among populations have often impeded inferences, including estimating origins of Gulf of Mexico juveniles. Here, we assessed genetic structure among seven foraging aggregations spanning southern Texas (TX) to southwestern Florida (SWFL), including Port Fourchon, Louisiana (LA); a surface-pelagic aggregation (SP) offshore of Louisiana and Florida; Santa Rosa Island, Florida (SRI); St. Joseph Bay, Florida (SJB); and the Big Bend region, Florida (BB). We estimated source contributions to aggregations with novel genetic data (excluding SP and BB) using a Bayesian many-to-one mixed stock analysis (MSA) approach. Haplotype frequencies for western (TX, LA, SP, SRI) and eastern (SJB, BB, SWFL) aggregations were significantly differentiated. The largest shift in haplotype frequencies between proximal nursery sites occurred between SRI and SJB, separated by only 150 km, highlighting the lack of a geographic yardstick for predicting genetic structure. In contrast to previous MSA results, there was no signal of Florida juveniles at any foraging site. Mexican contributions dominated in all aggregations, with strong connectivity between western Bay of Campeche (Tamaulipas/Veracruz) rookeries and western foraging aggregations. MSA indicated more diverse Mexican origins for eastern aggregations, with larger inputs from the eastern Bay of Campeche (Campeche/Yucatán), Campeche Bank, and Quintana Roo rookeries. These results demonstrate the significance of the Gulf of Mexico coast and offshore waters of the United States as important nursery habitat for green turtles of Mexican origin and highlight the need for international coordination for management of these populations.","language":"English","publisher":"Frontiers Media S.A.","doi":"10.3389/fmars.2022.1035834","usgsCitation":"Shamblin, B.M., Hart, K., Lamont, M., Shaver, D.J., Dutton, P., LaCasella, E.L., and Nairn, C.J., 2023, United States Gulf of Mexico waters provide important nursery habitat for Mexico’s green turtle nesting populations: Frontiers in Marine Science, v. 9, 1035834, 14 p.; Data Release, https://doi.org/10.3389/fmars.2022.1035834.","productDescription":"1035834, 14 p.; Data Release","ipdsId":"IP-142100","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444600,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2022.1035834","text":"Publisher Index Page"},{"id":435469,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H65DWH","text":"USGS data release","linkHelpText":"Green turtle genetics in the Gulf of Mexico, 2006-2019"},{"id":412685,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414815,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9I1PCLS","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.5828858684223,\n              26.020944798139922\n            ],\n            [\n              -89.99387561539595,\n              21.830237051987623\n            ],\n            [\n              -87.10819998993435,\n              22.09777919697764\n            ],\n            [\n              -83.32909620960129,\n              23.646395345278208\n            ],\n            [\n              -80.73832155828946,\n              23.475083453113896\n            ],\n            [\n              -80.35375877618276,\n              25.05140168963068\n            ],\n            [\n              -80.67702390426734,\n              25.558151073365067\n            ],\n            [\n              -81.57024063541482,\n              26.274503964829904\n            ],\n            [\n              -81.63249418385297,\n              26.757926806207166\n            ],\n            [\n              -82.17722346397841,\n              27.343543061305766\n            ],\n            [\n              -82.3743504056065,\n              28.210015071017466\n            ],\n            [\n              -82.30163833524159,\n              28.867242346882307\n            ],\n            [\n              -83.97406399675111,\n              30.463160386150193\n            ],\n            [\n              -84.95471478826707,\n              30.082641160877444\n            ],\n            [\n              -85.3608084580415,\n              30.344720493413064\n            ],\n            [\n              -87.65489710782902,\n              30.832231912294688\n            ],\n            [\n              -88.91275287924077,\n              30.547664291532925\n            ],\n            [\n              -92.91368561551928,\n              30.3188283440807\n            ],\n            [\n              -94.77708340276928,\n              30.099138547799157\n            ],\n            [\n              -96.88373985471816,\n              28.972754584320896\n            ],\n            [\n              -98.04226337483456,\n              27.310797691110977\n            ],\n            [\n              -97.5828858684223,\n              26.020944798139922\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2023-01-19","publicationStatus":"PW","contributors":{"editors":[{"text":"Kiszka, Jeremy J.","contributorId":292061,"corporation":false,"usgs":false,"family":"Kiszka","given":"Jeremy","email":"","middleInitial":"J.","affiliations":[{"id":62816,"text":"Institute of Environment, Department of Biological Sciences, Florida International University","active":true,"usgs":false}],"preferred":false,"id":863368,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Shamblin, Brian M.","contributorId":138897,"corporation":false,"usgs":false,"family":"Shamblin","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":12573,"text":"Daniel B. Warnell School of Forestry and Natural Resource, Athens Georiga","active":true,"usgs":false}],"preferred":false,"id":863196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218455,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":863197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":222403,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":863198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaver, Donna J.","contributorId":191186,"corporation":false,"usgs":false,"family":"Shaver","given":"Donna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":863199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dutton, Peter H.","contributorId":256741,"corporation":false,"usgs":false,"family":"Dutton","given":"Peter H.","affiliations":[{"id":51846,"text":"NOAA Fisheries, Southwest Fisheries Science Center, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":863200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaCasella, Erin L.","contributorId":301955,"corporation":false,"usgs":false,"family":"LaCasella","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":863201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nairn, Campbell J.","contributorId":138908,"corporation":false,"usgs":false,"family":"Nairn","given":"Campbell","email":"","middleInitial":"J.","affiliations":[{"id":12573,"text":"Daniel B. Warnell School of Forestry and Natural Resource, Athens Georiga","active":true,"usgs":false}],"preferred":false,"id":863202,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70240278,"text":"70240278 - 2023 - Ecotoxicological studies indicate that sublethal and lethal processes limit insect-mediated contaminant flux","interactions":[],"lastModifiedDate":"2023-09-06T16:04:51.26529","indexId":"70240278","displayToPublicDate":"2023-02-03T09:59:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Ecotoxicological studies indicate that sublethal and lethal processes limit insect-mediated contaminant flux","docAbstract":"Merolimnic insects can accumulate and transport considerable amounts of aquatic contaminants to terrestrial systems. The rate of contaminant biotransport, termed insect-mediated contaminant flux (IMCF), depends on emergent insect biomass and contaminant accumulation, both functions of environmental concentration. Here we develop a mathematical model of IMCF and apply it to three ecotoxicological studies obtained through the U.S. Environmental Protection Agency's ECOTOX database to determine at which concentration maximum IMCF occurs. Model results demonstrate that the maximum IMCF depends on competing rates of biomass loss and contaminant accumulation and does not necessarily occur at the highest insect or environmental contaminant concentration. Additionally, modeling results suggest that sublethal contaminant effects (e.g., decreased growth) on insect biomass can be an important and potentially underappreciated control on IMCF.","language":"English","publisher":"Wiley","doi":"10.1002/etc.5574","usgsCitation":"Olson, C., Beaubien, G., Otter, R., Walters, D., and Mills. M.A, 2023, Ecotoxicological studies indicate that sublethal and lethal processes limit insect-mediated contaminant flux: Environmental Toxicology and Chemistry, v. 42, no. 9, p. 1982-1992, https://doi.org/10.1002/etc.5574.","productDescription":"11 p.","startPage":"1982","endPage":"1992","ipdsId":"IP-144950","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":444603,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5574","text":"Publisher Index Page"},{"id":412682,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, C.I","contributorId":301967,"corporation":false,"usgs":false,"family":"Olson","given":"C.I","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":863220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaubien, G.B","contributorId":301968,"corporation":false,"usgs":false,"family":"Beaubien","given":"G.B","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":863221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Otter, R.R","contributorId":301970,"corporation":false,"usgs":false,"family":"Otter","given":"R.R","email":"","affiliations":[{"id":37193,"text":"Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":863222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205915,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":863223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mills. M.A","contributorId":301972,"corporation":false,"usgs":false,"family":"Mills. M.A","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":863224,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240274,"text":"70240274 - 2023 - Enhancing the predictability of ecology in a changing world: A call for an organism-based approach","interactions":[],"lastModifiedDate":"2023-02-03T15:57:47.282162","indexId":"70240274","displayToPublicDate":"2023-02-03T09:51:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5523,"text":"Frontiers in Applied Mathematics and Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing the predictability of ecology in a changing world: A call for an organism-based approach","docAbstract":"Ecology is usually very good in making descriptive explanations of what is observed, but is often unable to make predictions of the response of ecosystems to change. This has implications in a human-dominated world where a suite of anthropogenic stresses are threatening the resilience and functioning of ecosystems that sustain mankind through a range of critical regulating and supporting services. In ecosystems, cause-and-effect relationships are difficult to elucidate because of complex networks of negative and positive feedbacks. Therefore, being able to effectively predict when and where ecosystems could pass into different (and potentially unstable) new states is vitally important under rapid global change. Here, we argue that such better predictions may be reached if we focus on organisms instead of species, because organisms are the principal biotic agents in ecosystems that react directly on changes in their environment. Several studies show that changes in ecosystems may be accurately described as the result of changes in organisms and their interactions. Organism-based theories are available that are simple and derived from first principles, but allow many predictions. Of these we discuss Trait-based Ecology, Agent Based Models, and Maximum Entropy Theory of Ecology and show that together they form a logical sequence of approaches that allow organism-based studies of ecological communities. Combining and extending them makes it possible to predict the spatiotemporal distribution of groups of organisms in terms of how metabolic energy is distributed over areas, time, and resources. We expect that this “Organism-based Ecology” (OE) ultimately will improve our ability to predict ecosystem dynamics.","language":"English","publisher":"Frontiers Media S.A.","doi":"10.3389/fams.2023.1046185","usgsCitation":"Musters, C., DeAngelis, D., Harvey, J.A., Mooij, W.M., van Bodegom, P.M., and de Snoo, G.R., 2023, Enhancing the predictability of ecology in a changing world: A call for an organism-based approach: Frontiers in Applied Mathematics and Statistics, v. 9, 1046185, 10 p., https://doi.org/10.3389/fams.2023.1046185.","productDescription":"1046185, 10 p.","ipdsId":"IP-141728","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444606,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fams.2023.1046185","text":"Publisher Index Page"},{"id":412681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2023-01-24","publicationStatus":"PW","contributors":{"editors":[{"text":"Siekmann, Ivo","contributorId":302056,"corporation":false,"usgs":false,"family":"Siekmann","given":"Ivo","email":"","affiliations":[],"preferred":false,"id":863367,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Musters, C.J.M.","contributorId":301956,"corporation":false,"usgs":false,"family":"Musters","given":"C.J.M.","email":"","affiliations":[{"id":65374,"text":"Institute of Environmental Sciences, Leiden University","active":true,"usgs":false}],"preferred":false,"id":863207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":863208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Jeffrey A.","contributorId":301957,"corporation":false,"usgs":false,"family":"Harvey","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[{"id":35358,"text":"Netherlands Institute of Ecology","active":true,"usgs":false}],"preferred":false,"id":863209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mooij, Wolf M.","contributorId":215556,"corporation":false,"usgs":false,"family":"Mooij","given":"Wolf","email":"","middleInitial":"M.","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":863210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Bodegom, Peter M.","contributorId":301958,"corporation":false,"usgs":false,"family":"van Bodegom","given":"Peter","email":"","middleInitial":"M.","affiliations":[{"id":65374,"text":"Institute of Environmental Sciences, Leiden University","active":true,"usgs":false}],"preferred":false,"id":863211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"de Snoo, Geert R.","contributorId":301959,"corporation":false,"usgs":false,"family":"de Snoo","given":"Geert","email":"","middleInitial":"R.","affiliations":[{"id":65376,"text":"Institute of Environmental Sciences, Leiden University and Netherlands Institute of Ecology","active":true,"usgs":false}],"preferred":false,"id":863212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269696,"text":"70269696 - 2023 - Final report: A novel monitoring framework to assess intertidal biodiversity in mixed coarse substrate habitats across the Boston Harbor Islands","interactions":[],"lastModifiedDate":"2025-08-01T14:17:20.048446","indexId":"70269696","displayToPublicDate":"2023-02-03T09:02:59","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Final report: A novel monitoring framework to assess intertidal biodiversity in mixed coarse substrate habitats across the Boston Harbor Islands","docAbstract":"<p><span>The Boston Harbor Islands National Recreation Area (BOHA) is at high risk to the impacts of sea-level rise (SLR) and erosion from coastal storms. In June 2021, the National Trust for Historic Preservation listed the islands as one of America’s 11 Most Endangered Historic Places due to climate change. BOHA partners have been working to find climate adaptive solutions to protect and sustain critical ecological and cultural resources on the islands. A range of coastal adaptation efforts are currently under consideration including increased shoreline armoring and nature-based adaptation solutions. Any action taken in the coastal zone will require an assessment of environmental and ecological communities that could potentially be impacted by disturbance caused by restoration or adaptation projects. The primary goals of the initial phase of this project were to: 1) synthesize occurrence and distribution records of biodiversity living in and using mixed coarse substrate habitats of the intertidal zone of the Boston Harbor Islands; and 2) identify and compile potential methods to develop a standard and repeatable monitoring protocol to track changes (natural or anthropogenic) in intertidal biodiversity over time and across locations; and 3) conduct preliminary site scoping of target islands to identify locations for collecting new baseline data. A biodiversity inventory list was compiled, showing a total of 451 unique species were observed in BOHA between 1861-2020. Of this list, 55 species (invertebrates: 47; algae: 8)&nbsp;were considered nonindigenous species; a watchlist was also developed to help BOHA partners identify potential future invaders that could colonize and impact intertidal communities due to ongoing climate change or disturbance events. Native species observed in BOHA were evaluated using existing conservation frameworks and climate vulnerability information to prioritize species at greatest risk from anthropogenic and environmental stressors for future actions. Lastly, site scoping activities during 2021 identified three types of sites for future intertidal monitoring initiatives: (1) sites with relatively high biodiversity and foundational species, (2) erosional sites near cultural areas of importance to NPS, and (3) sites with generic (common across islands) biodiversity. Overall results are anticipated to help the NPS and BOHA partners identify a suite of species and sites for future monitoring given anticipated adaptation projects and ongoing changes due to SLR, coastal storms and other stressors.</span></p>","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"Michelle Staudinger, Albert, M., Lockwood, L., Putnam, A., Taylor, J., and Endyke, S.C., 2023, Final report: A novel monitoring framework to assess intertidal biodiversity in mixed coarse substrate habitats across the Boston Harbor Islands: Final Report, 47 p.","productDescription":"47 p.","ipdsId":"IP-170131","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":493340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493339,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://necasc.umass.edu/biblio/final-report-novel-monitoring-framework-assess-intertidal-biodiversity-mixed-coarse","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","otherGeospatial":"Boston Harbor Islands, Georges Island, Gallops Island, Long Island, Lovells Island, Peddocks Island, Rainsford Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.00767738335286,\n              42.28834449115362\n            ],\n            [\n              -70.93663404369572,\n              42.28249762345229\n            ],\n            [\n              -70.90828847299693,\n              42.31928823104346\n            ],\n            [\n              -70.93110988668896,\n              42.34642791740188\n            ],\n            [\n              -71.03579071906097,\n              42.31720948404873\n            ],\n            [\n              -71.00767738335286,\n              42.28834449115362\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2023-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Michelle Staudinger","contributorId":358911,"corporation":false,"usgs":false,"family":"Michelle Staudinger","affiliations":[{"id":85708,"text":"School of Marine Sciences, Darling Marine Center, University of Maine","active":true,"usgs":false}],"preferred":false,"id":944458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albert, Marc","contributorId":335163,"corporation":false,"usgs":false,"family":"Albert","given":"Marc","email":"","affiliations":[],"preferred":false,"id":944459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockwood, Lucy A. D.","contributorId":356958,"corporation":false,"usgs":false,"family":"Lockwood","given":"Lucy A. D.","affiliations":[{"id":63571,"text":"University of Massachusetts Boston","active":true,"usgs":false}],"preferred":false,"id":944461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Putnam, Aly B. 0000-0003-3853-1416","orcid":"https://orcid.org/0000-0003-3853-1416","contributorId":352260,"corporation":false,"usgs":false,"family":"Putnam","given":"Aly B.","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":944462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Justin","contributorId":336859,"corporation":false,"usgs":false,"family":"Taylor","given":"Justin","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":944463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Endyke, Sarah C.","contributorId":335365,"corporation":false,"usgs":false,"family":"Endyke","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":944639,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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