{"pageNumber":"290","pageRowStart":"7225","pageSize":"25","recordCount":165309,"records":[{"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":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":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":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water 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 Page"},"url":"https://alcesjournal.org/index.php/alces/article/view/1877","linkFileType":{"id":5,"text":"html"}},{"id":480996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","county":"Essex 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Cedric","contributorId":349023,"corporation":false,"usgs":false,"family":"Alexander","given":"Cedric","affiliations":[{"id":65007,"text":"Vermont Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":923930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fortin, Nicholas","contributorId":349020,"corporation":false,"usgs":false,"family":"Fortin","given":"Nicholas","affiliations":[{"id":65007,"text":"Vermont Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":923927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gieder, Katherina","contributorId":349021,"corporation":false,"usgs":false,"family":"Gieder","given":"Katherina","affiliations":[{"id":65007,"text":"Vermont Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":923928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murdoch, 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":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper 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}]}}
,{"id":70240268,"text":"70240268 - 2023 - Midwinter dry spells amplify post-fire snowpack decline","interactions":[],"lastModifiedDate":"2023-02-03T15:09:42.051793","indexId":"70240268","displayToPublicDate":"2023-02-03T08:46:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Midwinter dry spells amplify post-fire snowpack decline","docAbstract":"Increasing wildfire and declining snowpacks in mountain regions threaten water availability. We \ncombine satellite-based fire detections with snow seasonality classifications to examine fire activity in California’s seasonal and ephemeral snow zones. We find a nearly tenfold increase in fire activity during 2020-2021 versus 2001-2019. Accumulation season broadband snow albedo declined 25-71% in two burned sites (2021 and 2022) as measured by in-situ data relative to un-burned \nconditions, with greater declines associated with increased burn severity. By enhancing \nsnowpack susceptibility to melt, decreased snow albedo and canopy drove midwinter melt during a multi-week dry spell in 2022. Despite similar meteorological conditions in 2013 and 2022, which we link to persistent high pressure weather regimes, minimal melt occurred in 2013. Post-fire differences are confirmed with satellite measurements. With growing geographical overlap between wildfire and snow, our findings suggest California’s snowpack is increasingly vulnerable to the compounding effects of dry spells and wildfire.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GL101235","usgsCitation":"Hatchett, B.J., Koshkin, A.L., Guirguis, K., Rittger, K., Nolin, A.W., Heggli, A., Rhoades, A.M., East, A.E., Siirila-Woodburn, E.R., Brandt, W.T., Gershunov, A., and Haleakala, K., 2023, Midwinter dry spells amplify post-fire snowpack decline: Geophysical Research Letters, v. 50, no. 3, e2022GL101235, 13 p., https://doi.org/10.1029/2022GL101235.","productDescription":"e2022GL101235, 13 p.","ipdsId":"IP-145148","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gl101235","text":"Publisher Index Page"},{"id":412673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.2751680197709,\n              40.55751153385654\n            ],\n            [\n              -121.71486528539575,\n              39.4297037115459\n            ],\n            [\n              -121.02272661352072,\n              38.11930500219711\n            ],\n            [\n              -119.34181841039587,\n              36.70573167958237\n            ],\n            [\n              -118.69362505102035,\n              35.54326927523752\n            ],\n            [\n              -117.7927461447702,\n              35.498560223544885\n            ],\n            [\n              -118.03444536352035,\n              36.56467591653393\n            ],\n            [\n              -118.47389848852012,\n              37.850873302572296\n            ],\n            [\n              -119.96803911352013,\n              38.978501677145516\n            ],\n            [\n              -120.31960161352023,\n              39.99593570132265\n            ],\n            [\n              -120.70412309789525,\n              40.54782842585726\n            ],\n            [\n              -121.61598833227018,\n              41.046840301505796\n            ],\n            [\n              -122.2751680197709,\n              40.55751153385654\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hatchett, Benjamin J. 0000-0003-1066-3601","orcid":"https://orcid.org/0000-0003-1066-3601","contributorId":214405,"corporation":false,"usgs":false,"family":"Hatchett","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":39033,"text":"Division of Atmospheric Sciences, Desert Research Institute, Reno, Nevada, USA","active":true,"usgs":false}],"preferred":false,"id":863177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koshkin, Arielle L.","contributorId":301948,"corporation":false,"usgs":false,"family":"Koshkin","given":"Arielle","email":"","middleInitial":"L.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":863178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guirguis, Kristen","contributorId":195281,"corporation":false,"usgs":false,"family":"Guirguis","given":"Kristen","email":"","affiliations":[],"preferred":false,"id":863179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rittger, Karl","contributorId":215274,"corporation":false,"usgs":false,"family":"Rittger","given":"Karl","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":863180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nolin, Anne W.","contributorId":301949,"corporation":false,"usgs":false,"family":"Nolin","given":"Anne","email":"","middleInitial":"W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":863181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heggli, Anne","contributorId":301950,"corporation":false,"usgs":false,"family":"Heggli","given":"Anne","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":863182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rhoades, Alan M.","contributorId":301951,"corporation":false,"usgs":false,"family":"Rhoades","given":"Alan","email":"","middleInitial":"M.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":863183,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":863184,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Siirila-Woodburn, Erica R.","contributorId":301952,"corporation":false,"usgs":false,"family":"Siirila-Woodburn","given":"Erica","email":"","middleInitial":"R.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":863185,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brandt, W. Tyler","contributorId":301953,"corporation":false,"usgs":false,"family":"Brandt","given":"W.","email":"","middleInitial":"Tyler","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":863186,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gershunov, Alexander","contributorId":261326,"corporation":false,"usgs":false,"family":"Gershunov","given":"Alexander","affiliations":[{"id":52819,"text":"Climate, Atmospheric Science and Physical Oceanography Division, Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA 92093, USA","active":true,"usgs":false}],"preferred":false,"id":863187,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Haleakala, Kayden","contributorId":301954,"corporation":false,"usgs":false,"family":"Haleakala","given":"Kayden","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":863188,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70240275,"text":"70240275 - 2023 - Riparian spiders: Sentinels of polychlorinated dibenzo-p-dioxin and dibenzofuran-contaminated sediment","interactions":[],"lastModifiedDate":"2023-02-03T14:22:01.647822","indexId":"70240275","displayToPublicDate":"2023-02-03T08:10:15","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}},"displayTitle":"Riparian spiders: Sentinels of polychlorinated dibenzo-<i>p</i>-dioxin and dibenzofuran-contaminated sediment","title":"Riparian spiders: Sentinels of polychlorinated dibenzo-p-dioxin and dibenzofuran-contaminated sediment","docAbstract":"<p><span>Polychlorinated dibenzo-</span><i>p</i><span>-dioxin and polychlorinated dibenzofuran (PCDD/F) are persistent, toxic, and bioaccumulative. Currently, PCDD/F monitoring programs primarily use fish and birds with potentially large home ranges to monitor temporal trends over broad spatial scales; sentinel organisms that provide targeted sediment contaminant information across small geographic areas have yet to be developed. Riparian orb-weaving spiders, which typically have small home ranges and consume primarily adult aquatic insects, are potential PCDD/F sentinels. Recent studies have demonstrated that spider tissue concentrations indicate the source and magnitude of dioxin-like chlorinated compounds in contaminated sediments, including polychlorinated biphenyls (PCBs). Our aim in the present study was to assess the utility of riparian spiders as sentinels for PCDD/F-contaminated sediments. We measured PCDD/F (total [Σ] and homologs) in surface sediments and spiders collected from three sites within the St. Louis River basin (Minnesota and Wisconsin, USA). We then compared (1) patterns in ΣPCDD/F concentrations between sediment and spiders, (2) the distribution of homologs within sediments and spiders when pooled across sites, and (3) the relationship between sediment and spider concentrations of PCDD/F homologs across 13 stations sampled across the three sites. The ΣPCDD/F concentrations in sediment (mean ± standard error 286 591 ± 97 614 pg/g) were significantly higher than those in riparian spiders (2463 ± 977 pg/g,&nbsp;</span><i>p</i><span> &lt; 0.001), but the relative abundance of homologs in sediment and spiders were not significantly different. Spider homolog concentrations were significantly and positively correlated with sediment concentrations across a gradient of sediment PCDD/F contamination (</span><i>R</i><sup>2</sup><span> = 0.47,&nbsp;</span><i>p</i><span> &lt; 0.001). Our results indicate that, as has been shown for other legacy organic chemicals like PCBs, riparian spiders are suitable sentinels of PCDD/F in contaminated sediment.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.5531","usgsCitation":"Beaubien, G.B., White, D.P., Walters, D., Otter, R.R., Fritz, K.M., Crone, B., and Mills, M.A., 2023, Riparian spiders: Sentinels of polychlorinated dibenzo-p-dioxin and dibenzofuran-contaminated sediment: Environmental Toxicology and Chemistry, v. 42, no. 2, p. 414-420, https://doi.org/10.1002/etc.5531.","productDescription":"7 p.","startPage":"414","endPage":"420","ipdsId":"IP-142602","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":444611,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10084846","text":"External Repository"},{"id":412669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St. Louis River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.11978762045874,\n              47.174003252461375\n            ],\n            [\n              -93.11978762045874,\n              46.531629402852644\n            ],\n            [\n              -91.74375002280269,\n              46.531629402852644\n            ],\n            [\n              -91.74375002280269,\n              47.174003252461375\n            ],\n            [\n              -93.11978762045874,\n              47.174003252461375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Beaubien, Gale B.","contributorId":244596,"corporation":false,"usgs":false,"family":"Beaubien","given":"Gale","email":"","middleInitial":"B.","affiliations":[{"id":37193,"text":"Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":863213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Dalon P.","contributorId":301960,"corporation":false,"usgs":false,"family":"White","given":"Dalon","email":"","middleInitial":"P.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":863214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205921,"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":863215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Otter, Ryan R.","contributorId":205916,"corporation":false,"usgs":false,"family":"Otter","given":"Ryan","email":"","middleInitial":"R.","affiliations":[{"id":37193,"text":"Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":863216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":863217,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crone, Brian","contributorId":301961,"corporation":false,"usgs":false,"family":"Crone","given":"Brian","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":863218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":863219,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243018,"text":"70243018 - 2023 - Mineralogical, magnetic and geochemical data constrain the pathways and extent of weathering of mineralized sedimentary rocks","interactions":[],"lastModifiedDate":"2023-04-26T12:05:16.59314","indexId":"70243018","displayToPublicDate":"2023-02-03T06:56:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Mineralogical, magnetic and geochemical data constrain the pathways and extent of weathering of mineralized sedimentary rocks","docAbstract":"<p id=\"sp0005\">The oxidative weathering of sulfidic rock can profoundly impact watersheds through the resulting export of acidity and metals. Weathering leaves a record of mineral transformation, particularly involving minor redox-sensitive phases, that can inform the development of conceptual and quantitative models. In sulfidic sedimentary rocks, however, variations in depositional history,<span>&nbsp;</span>diagenesis<span>&nbsp;and&nbsp;mineralization&nbsp;can change or overprint the distributions of these trace minerals, complicating the interpretation of weathering signatures. Here we show that a combination of bulk mineralogical and geochemical techniques, micrometer-resolution X-ray fluorescence microprobe analysis and rock magnetic measurements, applied to drill core samples and single weathered fractures, can provide data that enable the development of a geochemically consistent weathering model.</span></p><p id=\"sp0010\"><span>This work focused on one watershed in the Upper Colorado River Basin sitting within the Mesaverde Formation, a sedimentary sandstone bedrock with disseminated sulfide minerals, including pyrite and&nbsp;sphalerite, that were introduced during diagenesis and subsequent magmatic-hydrothermal mineralization. Combined analytical methods revealed the pathways of iron (Fe), carbonate and&nbsp;silicate mineral&nbsp;weathering and showed how pH controls element retention or release from the actively weathering fractured sandstone. Drill core logging, whole rock X-ray diffraction, and geochemical measurements document the progression from unweathered rock at depth to weathered rock at the surface. X-ray microprobe analyses of a 1-cm size weathering profile along a fracture surface are consistent with the mobilization of Fe(II) and Fe(III) into acidic&nbsp;pore water&nbsp;from the dissolution of primary pyrite, Fe-sphalerite, chlorite, and minor&nbsp;siderite&nbsp;and&nbsp;pyrrhotite. These reactions are followed by the precipitation of secondary minerals such as of&nbsp;goethite&nbsp;and&nbsp;jarosite, a Fe-(oxyhydr)oxide and hydrous Fe(III) sulfate, respectively.&nbsp;</span>Microscale<span>&nbsp;analyses also helped explain the weathering reactions responsible for the mineralogical transformations observed in the top and most weathered section of the drill core. For example, dissolution of feldspar and chlorite neutralizes the acidity generated by Fe and sulfide mineral oxidation, oversaturating the solution in both Fe-oxides. The combination of X-ray spectromicroscopy and magnetic measurements show that the Fe(III) product is goethite, mainly present either as a coatings on fracture surfaces in the actively weathering region of the core or more homogeneously contained within the unconsolidated&nbsp;regolith&nbsp;at the top of the core. Low-temperature magnetic data reveal the presence of ferromagnetic Fe-sulfide pyrrhotite that, although it occurs at trace concentrations, could provide a qualitative proxy for unweathered sulfide minerals because the loss of pyrrhotite is associated with the onset of oxidative weathering. Pyrrhotite loss and goethite formation are detectable through room-temperature magnetic&nbsp;coercivity&nbsp;changes, suggesting that rock magnetic measurements can determine weathering intensity in rock samples at many scales. This work contributes evidence that the weathering of sulfidic sedimentary rocks follows a geochemical pattern in which the abundance of sulfide minerals controls the generation of acidity and dissolved elements, and the pH-dependent mobility of these elements controls their export to the ground- and surface-water.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2022.11.005","usgsCitation":"Carrero, S., Slotznick, S.P., Fakra, S.C., Sitar, M.C., Bone, S.E., Mauk, J.L., Manning, A.H., Swanson-Hysell, N., Williams, K.H., Banfield, J.F., and Gilbert, B., 2023, Mineralogical, magnetic and geochemical data constrain the pathways and extent of weathering of mineralized sedimentary rocks: Geochimica et Cosmochimica Acta, v. 343, p. 180-195, https://doi.org/10.1016/j.gca.2022.11.005.","productDescription":"16 p.","startPage":"180","endPage":"195","ipdsId":"IP-144517","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":444613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/9rx7w6vm","text":"Publisher Index Page"},{"id":416368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.02298126226637,\n              54.47123140197621\n            ],\n            [\n              -107.02298126226637,\n              53.04438952769195\n            ],\n            [\n              -106.457428641961,\n              53.04438952769195\n            ],\n            [\n              -106.457428641961,\n              54.47123140197621\n            ],\n            [\n              -107.02298126226637,\n              54.47123140197621\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.17636327510458,\n              38.98415958443957\n            ],\n            [\n              -107.17636327510458,\n              38.76066749873635\n            ],\n            [\n              -106.78664053376538,\n              38.76066749873635\n            ],\n            [\n              -106.78664053376538,\n              38.98415958443957\n            ],\n            [\n              -107.17636327510458,\n              38.98415958443957\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"343","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carrero, Sergio","contributorId":304474,"corporation":false,"usgs":false,"family":"Carrero","given":"Sergio","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slotznick, Sarah P.","contributorId":298122,"corporation":false,"usgs":false,"family":"Slotznick","given":"Sarah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":870597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fakra, Sirine C.","contributorId":304475,"corporation":false,"usgs":false,"family":"Fakra","given":"Sirine","email":"","middleInitial":"C.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sitar, M. Cole","contributorId":304476,"corporation":false,"usgs":false,"family":"Sitar","given":"M.","email":"","middleInitial":"Cole","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bone, Sharon E.","contributorId":304477,"corporation":false,"usgs":false,"family":"Bone","given":"Sharon","email":"","middleInitial":"E.","affiliations":[{"id":36408,"text":"SLAC National Accelerator Laboratory","active":true,"usgs":false}],"preferred":false,"id":870600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":870601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":870602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swanson-Hysell, Nicholas L.","contributorId":304479,"corporation":false,"usgs":false,"family":"Swanson-Hysell","given":"Nicholas L.","affiliations":[],"preferred":false,"id":870606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Kenneth H.","contributorId":268895,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Banfield, Jillian F.","contributorId":152634,"corporation":false,"usgs":false,"family":"Banfield","given":"Jillian","email":"","middleInitial":"F.","affiliations":[{"id":18952,"text":"Department of Earth and Planetary Science, University of California Berkeley, CA 94720, USA","active":true,"usgs":false}],"preferred":false,"id":870608,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gilbert, Benjamin","contributorId":304478,"corporation":false,"usgs":false,"family":"Gilbert","given":"Benjamin","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870603,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70240928,"text":"70240928 - 2023 - A Bayesian multi-stage modelling framework to evaluate impacts of energy development on wildlife populations: An application to Greater Sage-Grouse (Centrocercus urophasianus)","interactions":[],"lastModifiedDate":"2023-03-01T12:44:09.159474","indexId":"70240928","displayToPublicDate":"2023-02-03T06:41:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7479,"text":"MethodsX","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian multi-stage modelling framework to evaluate impacts of energy development on wildlife populations: An application to Greater Sage-Grouse (Centrocercus urophasianus)","docAbstract":"<p><span>Increased demand for domestic production of renewable energy has led to expansion of energy infrastructure across western North America. Much of the western U.S. comprises remote landscapes that are home to a variety of vegetation communities and wildlife species, including the imperiled sagebrush ecosystem and indicator species such as greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>). Geothermal sources in particular have potential for continued development across the western U.S. but impacts to greater sage-grouse and other species are unknown. To address this information gap, we describe a novel two-pronged methodology that analyzes impacts of geothermal energy production on pattern and process of greater sage-grouse populations using (a) before-after control-impact (BACI) measures of population growth and lek absence rates and (b) concurrent-to-operation evaluations of demographic rates. Growth and absence rate analyses utilized 14 years of lek survey data collected prior (2005–2011) and concurrent (2012–2018) to geothermal operations at two sites in Nevada, USA. Demographic analyses utilized relocation data, restricted inference to concurrent years, and incorporated 17 additional control sites. Demographic results were applied to &gt;100 potential geothermal sites distributed across the study region to generate spatially explicit predictions of unrealized population-level impacts.</span></p><dl class=\"list\"></dl>","language":"English","publisher":"Elsevier","doi":"10.1016/j.mex.2023.102023","usgsCitation":"Prochazka, B.G., O’Neil, S.T., and Coates, P.S., 2023, A Bayesian multi-stage modelling framework to evaluate impacts of energy development on wildlife populations: An application to Greater Sage-Grouse (Centrocercus urophasianus): MethodsX, v. 10, 102023, 13 p., https://doi.org/10.1016/j.mex.2023.102023.","productDescription":"102023, 13 p.","ipdsId":"IP-133919","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444616,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.mex.2023.102023","text":"Publisher Index Page"},{"id":435470,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OLC725","text":"USGS data release","linkHelpText":"Median Estimates of Impact Potential from Geothermal Energy Production Activities on Greater Sage-Grouse Populations in Nevada and California (2022)"},{"id":413524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":865334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":865335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":865336,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70240465,"text":"70240465 - 2023 - Four decades of regional wet deposition, local bulk deposition, and stream-water chemistry show the influence of nearby land use on forested streams in Central Appalachia☆","interactions":[],"lastModifiedDate":"2023-02-08T12:39:04.453935","indexId":"70240465","displayToPublicDate":"2023-02-03T06:35:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Four decades of regional wet deposition, local bulk deposition, and stream-water chemistry show the influence of nearby land use on forested streams in Central Appalachia☆","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Hydrologic monitoring began on two headwater streams (&lt;1&nbsp;km<sup>2</sup>) on the University of Kentucky's Robinson Forest in 1971. We evaluated stream-water (1974–2013) and bulk-deposition (wet&nbsp;+&nbsp;dust) (1984–2013) chemistry in the context of regional wet-deposition patterns that showed decreases in both sulfate and nitrate concentrations as well as proximal surface-mine expansion. Decadal time steps (1974–83, 1984–93, 1994–2003, 2004–2013) were used to quantify change. Comparison of the first two decades showed similarly decreased sulfate (minimum flow-adjusted annual-mean concentration of ≈13.5&nbsp;mg/L in 1982 to 8.8&nbsp;mg/L in 1992) and increased pH (6.6–6.8) in both streams, reflecting contemporaneous changes in both bulk and wet deposition. In contrast, concentrations of nitrate (0.14 to &gt;0.25&nbsp;mg/L) and base cations increased between these two decades, coinciding with expansion of surface mining between 1985 and 1995. In 2004, stream-water pH (6.7 in 2004), sulfate (9.2&nbsp;mg/L), and nitrate (&gt;0.11&nbsp;mg/L) were similar to 1982, despite wet-deposition concentrations being lower. Base-cation concentrations were higher in the stream adjacent to ongoing surface mining relative to the stream situated near the middle of the experimental forest. However, pH decreased to approximately 5.7 by 2013 for both streams, which, combined with a shift in dominant cations from calcium to magnesium and potassium, indicates that the soil-buffering capacity of this landscape has been exceeded. Ratios of bulk deposition and stream-water concentrations indicate enrichment of sulfate (1.7–25.2) and cations (0.5–64.8), but not nitrogen (0.1–5.6), indicating that the Forest is not nitrogen saturated and that ongoing changes in water-quality are sulfate driven. When concentrations were adjusted to account for changes in streamflow (climate) over the 4 decades, external influences (land management/regulation) explained most change. The amount and direction of change differed among constituents, both between consecutive decades and between the first and last decades, reflecting the influence of localized surface mining even as regional wet deposition continued to improve due to the Clean Air Act. The implication is that localized stressors have the potential to out-pace the benefits of national environmental policies for communities that depend on local water-resources in similar environments.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.117392","usgsCitation":"Williamson, T.N., Sena, K., Shoda, M.E., and Barton, C.D., 2023, Four decades of regional wet deposition, local bulk deposition, and stream-water chemistry show the influence of nearby land use on forested streams in Central Appalachia☆: Journal of Environmental Management, v. 332, 117392, 12 p., https://doi.org/10.1016/j.jenvman.2023.117392.","productDescription":"117392, 12 p.","ipdsId":"IP-123382","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":412865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.96095899311437,\n              36.662738378060624\n            ],\n            [\n              -82.06179958395745,\n              36.662738378060624\n            ],\n            [\n              -82.06179958395745,\n              38.88459122444556\n            ],\n            [\n              -84.96095899311437,\n              38.88459122444556\n            ],\n            [\n              -84.96095899311437,\n              36.662738378060624\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"332","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sena, Kenton 0000-0003-1822-9375","orcid":"https://orcid.org/0000-0003-1822-9375","contributorId":258046,"corporation":false,"usgs":false,"family":"Sena","given":"Kenton","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":863868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barton, Chris D. 0000-0003-0692-3079","orcid":"https://orcid.org/0000-0003-0692-3079","contributorId":236883,"corporation":false,"usgs":false,"family":"Barton","given":"Chris","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":863870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70241013,"text":"70241013 - 2023 - Shrinking body size and climate warming: Many freshwater salmonids do not follow the rule","interactions":[],"lastModifiedDate":"2023-04-12T14:28:25.004001","indexId":"70241013","displayToPublicDate":"2023-02-03T06:31:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Shrinking body size and climate warming: Many freshwater salmonids do not follow the rule","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Declining body size is believed to be a universal response to climate warming and has been documented in numerous studies of marine and anadromous fishes. The Salmonidae are a family of coldwater fishes considered to be among the most sensitive species to climate warming; however, whether the shrinking body size response holds true for freshwater salmonids has yet to be examined at a broad spatial scale. We compiled observations of individual fish lengths from long-term surveys across the Northern Hemisphere for 12 species of freshwater salmonids and used linear mixed models to test for spatial and temporal trends in body size (fish length) spanning recent decades. Contrary to expectations, we found a significant increase in length overall but with high variability in trends among populations and species. More than two-thirds of the populations we examined increased in length over time. Secondary regressions revealed larger-bodied populations are experiencing greater increases in length than smaller-bodied populations. Mean water temperature was weakly predictive of changes in body length but overall minimal influences of environmental variables suggest that it is difficult to predict an organism's response to changing temperatures by solely looking at climatic factors. Our results suggest that declining body size is not universal, and the response of fishes to climate change may be largely influenced by local factors. It is important to know that we cannot assume the effects of climate change are predictable and negative at a large spatial scale.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16626","usgsCitation":"Solakas, M., Feiner, Z.S., Al-Chokhachy, R., Budy, P., DeWeber, T., Sarvala, J., Sass, G., Tolentino, S.A., Walsworth, T., and Jensen, O.P., 2023, Shrinking body size and climate warming: Many freshwater salmonids do not follow the rule: Global Change Biology, v. 29, no. 9, p. 2478-2492, https://doi.org/10.1111/gcb.16626.","productDescription":"15 p.","startPage":"2478","endPage":"2492","ipdsId":"IP-146706","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":444617,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.16626","text":"Publisher Index Page"},{"id":413696,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Solakas, Mary","contributorId":302883,"corporation":false,"usgs":false,"family":"Solakas","given":"Mary","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":865714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feiner, Zachary S.","contributorId":150494,"corporation":false,"usgs":false,"family":"Feiner","given":"Zachary","email":"","middleInitial":"S.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":865715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216703,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":865716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":865717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeWeber, Tyrell","contributorId":302884,"corporation":false,"usgs":false,"family":"DeWeber","given":"Tyrell","email":"","affiliations":[{"id":65570,"text":"Fisheries Research Station of Baden, Germany","active":true,"usgs":false}],"preferred":false,"id":865718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sarvala, Jouko","contributorId":302885,"corporation":false,"usgs":false,"family":"Sarvala","given":"Jouko","email":"","affiliations":[{"id":25452,"text":"University of Turku","active":true,"usgs":false}],"preferred":false,"id":865719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sass, Greg G.","contributorId":244466,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":865720,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tolentino, Scott A.","contributorId":302886,"corporation":false,"usgs":false,"family":"Tolentino","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":65571,"text":"Utah Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":865721,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walsworth, Timothy E.","contributorId":275032,"corporation":false,"usgs":false,"family":"Walsworth","given":"Timothy E.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":865722,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jensen, Olaf P.","contributorId":92159,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":865723,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70240321,"text":"70240321 - 2023 - Monitoring and modeling dispersal of a submerged nearshore berm at the mouth of the Columbia River, USA","interactions":[],"lastModifiedDate":"2023-02-06T12:34:33.761565","indexId":"70240321","displayToPublicDate":"2023-02-03T06:31:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring and modeling dispersal of a submerged nearshore berm at the mouth of the Columbia River, USA","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">A submerged, low-relief nearshore berm was constructed in the Pacific Ocean near the mouth of the Columbia River, USA, using 216,000&nbsp;m<sup>3</sup><span>&nbsp;</span>of sediment dredged from the adjacent navigation channel. The material dredged from the navigation channel was placed on the northern flank of the ebb-tidal delta in water depths between 12 and 15&nbsp;m and created a distinct feature that could be tracked over time. Field measurements and numerical modeling were used to evaluate the transport pathways, time scales, and physical processes responsible for dispersal of the berm and evaluate the suitability of the location for operational placement of dredged material to enhance the sediment supply to eroding beaches onshore of the placement site. Repeated multibeam bathymetric surveys characterized the initial berm morphology and dispersion of the berm between September 22, 2020, and March 10, 2021. During this time, the volume of sediment within the berm decreased by about 40%to 127,000&nbsp;m<sup>3</sup>, the maximum height decreased by almost 60%, and the center of the deposit shifted onshore over 200&nbsp;m. Observations of berm morphology were compared with predictions from a three-dimensional hydrodynamic and sediment transport model application to refine poorly constrained model input parameters including sediment transport coefficients, bed schematization, and grain size. The calibrated sediment transport model was used to predict the amount, timing, and direction of transport outside of the observed survey area. Model simulations predicted that tidal currents were weak in the vicinity of the berm and wave processes including enhanced bottom stresses and asymmetric bottom orbital velocities resulted in dominant onshore movement of sediment from the berm toward the coastline. Roughly 50% of the berm volume was predicted to disperse away from the initial placement site during the 169 day hindcast. Between 9 and 17% of the initial volume of the berm was predicted to accumulate along the shoreface of a shoreline reach experiencing chronic erosion directly onshore of the placement site. Scenarios exploring alternate placement locations suggested that the berm was relatively effective in enhancing the sediment supply along the eroding coastline north of the inlet. The transferable monitoring and modeling framework developed in this study can be used to inform implementation of strategic nearshore placements and regional sediment management in complex, high-energy coastal environments elsewhere.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2023.104285","usgsCitation":"Stevens, A.W., Moritz, H.R., Elias, E.P., Gelfenbaum, G.R., Ruggiero, P.R., Pearson, S.G., McMillan, J.M., and Kaminsky, G.M., 2023, Monitoring and modeling dispersal of a submerged nearshore berm at the mouth of the Columbia River, USA: Coastal Engineering, v. 181, 104285, 16 p., https://doi.org/10.1016/j.coastaleng.2023.104285.","productDescription":"104285, 16 p.","ipdsId":"IP-138861","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444620,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2023.104285","text":"Publisher Index Page"},{"id":435471,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RVK9S9","text":"USGS data release","linkHelpText":"Bathymetry data and sediment transport modeling of a submerged nearshore berm at the mouth of the Columbia River, Oregon and Washington, 2020-2021"},{"id":412725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.27081924424007,\n              46.46595252705819\n            ],\n            [\n              -124.27081924424007,\n              45.99496323160062\n            ],\n            [\n              -123.23854278794916,\n              45.99496323160062\n            ],\n            [\n              -123.23854278794916,\n              46.46595252705819\n            ],\n            [\n              -124.27081924424007,\n              46.46595252705819\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"181","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":863394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moritz, Hans R.","contributorId":210776,"corporation":false,"usgs":false,"family":"Moritz","given":"Hans","email":"","middleInitial":"R.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":863395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Edwin PL","contributorId":302064,"corporation":false,"usgs":false,"family":"Elias","given":"Edwin","email":"","middleInitial":"PL","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":863396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":863397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruggiero, Peter R","contributorId":221035,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","email":"","middleInitial":"R","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":863398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, Stuart G","contributorId":302066,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","email":"","middleInitial":"G","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":863399,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McMillan, James M","contributorId":301196,"corporation":false,"usgs":false,"family":"McMillan","given":"James","email":"","middleInitial":"M","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":863400,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kaminsky, George M","contributorId":221036,"corporation":false,"usgs":false,"family":"Kaminsky","given":"George","email":"","middleInitial":"M","affiliations":[{"id":25353,"text":"Washington State Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":863401,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70242940,"text":"70242940 - 2023 - Seafloor observations eliminate a landslide as the source of the 1918 Puerto Rico Tsunami","interactions":[],"lastModifiedDate":"2023-04-24T11:32:06.068145","indexId":"70242940","displayToPublicDate":"2023-02-03T06:29:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seafloor observations eliminate a landslide as the source of the 1918 Puerto Rico Tsunami","docAbstract":"<p><span>The 11 October 1918 devastating tsunami in northwest Puerto Rico had been used as an example for earthquake‐induced landslide tsunami hazard. Three pieces of evidence pointed to a landslide as the origin of the tsunami: the discovery of a large submarine landslide scar from bathymetry data collected by shipboard high‐resolution multibeam sonar, reported breaks of submarine cable within the scar, and the fit of tsunami models to flooding observations. Newly processed seafloor imagery collected by remotely operated vehicle (ROV) show, however, pervasive Fe–Mn crust (patina) on the landslide walls and floor, indicating that the landslide scar is at least several hundred years old. </span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mmultiscripts xmlns=&quot;&quot;><mi mathvariant=&quot;normal&quot;>C</mi><mprescripts /><none /><mn>14</mn></mmultiscripts></math>\"><sup><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mmultiscripts\"><span id=\"MathJax-Span-5\" class=\"mn\">14</span></span></span></span></span></sup><span class=\"MJX_Assistive_MathML\">C</span></span></span><span>&nbsp;dates of sediment covering the landslide floor verify this interpretation. Although we have not searched the region systematically for an alternative tsunami source, we propose a possible source—a two‐segment normal‐fault rupture along the eastern wall of Mona rift. The proposed fault location matches the published normal faults with steep bathymetry and is close to the International Seismological Center–Global Earthquake Model catalog locations of the 1918 mainshock and aftershocks. The ROV observations further show fresh vertical slickensides and rock exposure along the proposed fault trace. Hydrodynamic models from an&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-6\" class=\"math\"><span><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"msub\"><span id=\"MathJax-Span-9\" class=\"mi\">M<sub>w</sub></span></span></span></span></span></span></span><span>&nbsp;7.2 earthquake rupture along the eastern wall of the rift faithfully reproduce the reported tsunami amplitudes, polarities, and arrival times. Our analysis emphasizes the value of close‐up observations and physical samples to augment remote sensing data in natural hazard studies.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120220146","usgsCitation":"ten Brink, U.S., Chaytor, J., Flores, C., Wei, Y., Detmer, S., Lucas, L., Andrews, B.D., and Georgiopoulou, A., 2023, Seafloor observations eliminate a landslide as the source of the 1918 Puerto Rico Tsunami: Bulletin of the Seismological Society of America, v. 113, no. 1, p. 268-280, https://doi.org/10.1785/0120220146.","productDescription":"13 p.","startPage":"268","endPage":"280","ipdsId":"IP-143248","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467122,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/66579","text":"External Repository"},{"id":416167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.46355938873742,\n              18.733553875631756\n            ],\n            [\n              -67.46355938873742,\n              17.79501404751062\n            ],\n            [\n              -65.55276024440502,\n              17.79501404751062\n            ],\n            [\n              -65.55276024440502,\n              18.733553875631756\n            ],\n            [\n              -67.46355938873742,\n              18.733553875631756\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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,{"id":70240173,"text":"ofr20221021 - 2023 - Groundwater quality in the Mohawk and western New York River Basins, New York, 2016","interactions":[],"lastModifiedDate":"2026-02-10T20:44:20.499023","indexId":"ofr20221021","displayToPublicDate":"2023-02-02T11:30:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1021","displayTitle":"Groundwater Quality in the Mohawk and Western New York River Basins, New York, 2016","title":"Groundwater quality in the Mohawk and western New York River Basins, New York, 2016","docAbstract":"<p>Water samples were collected from July through December 2016 from 9 production wells and 13 domestic wells in the Mohawk River Basin, and from 17 production wells and 17 domestic wells in the western New York River Basins. The samples were collected and processed by using standard U.S. Geological Survey methods and were analyzed for 320 physicochemical properties and constituents, including dissolved gases, major ions, nutrients, trace elements, pesticides, volatile organic compounds, radionuclides, and indicator bacteria, to characterize groundwater quality in the basins. Analytical results are provided in the companion U.S. Geological Survey data release titled “Groundwater Quality Data From the Mohawk and Western New York River Basins, New York, 2016.”</p><p>The Mohawk River Basin study area covers 3,500 square miles in New York. Of the 22 wells sampled in the Mohawk River Basin, 8 are completed in sand and gravel, and 14 are completed in bedrock aquifers. Most constituents in the samples from the Mohawk River Basin were present in concentrations below the maximum contaminant levels used in public supply drinking-water regulations by the New York State Department of Health and the U.S. Environmental Protection Agency. Values for some of the properties and concentrations of some constituents—pH, color, iron, manganese, aluminum, sodium, chloride, dissolved solids, radon-222, and heterotrophic plate count—sometimes equaled or exceeded primary, secondary, or proposed drinking-water standards.</p><p>The western New York River Basins study area covers 5,340 square miles in western New York and includes parts of the Lake Erie and Niagara River Basins, the western Lake Ontario Basin (between the Niagara River and Genesee River Basins), and the Allegheny River Basin. Of the 34 wells sampled in the western New York River Basins, 16 are completed in sand and gravel, and 18 are completed in bedrock aquifers. Most constituents in the samples from the western New York River Basins were present in concentrations below the maximum contaminant levels used in public supply drinking-water regulations by the New York State Department of Health and the U.S. Environmental Protection Agency. Values for some of the properties and concentrations of some constituents—color, chloride, sodium, dissolved solids, iron, manganese, aluminum, arsenic, barium, radon-222, methane, total coliform bacteria, fecal coliform bacteria, and <i>Escherichia coli</i> bacteria—sometimes equaled or exceeded primary, secondary, or proposed drinking-water standards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221021","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Gaige, D.L., Scott, T.-M., Reddy, J.E., and Keefe, M.R., 2023, Groundwater quality in the Mohawk and western New York River Basins, New York, 2016: U.S. Geological Survey Open-File Report 2022–1021, 38 p., https://doi.org/10.3133/ofr20221021.","productDescription":"Report: viii, 38 p.; Data 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2022-1021"},{"id":412498,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1021/coverthb.jpg"},{"id":412501,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1021/ofr20221021.XML"},{"id":499717,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114305.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Mohawk and New York River basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.84977657608984,\n              43.556764188166994\n            ],\n            [\n              -75.84977657608984,\n              41.81434325258104\n            ],\n            [\n              -73.94567088326258,\n              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PSC"},"publishedDate":"2023-02-02","noUsgsAuthors":false,"publicationDate":"2023-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Gaige, Devin L. 0000-0002-5105-7408","orcid":"https://orcid.org/0000-0002-5105-7408","contributorId":298487,"corporation":false,"usgs":true,"family":"Gaige","given":"Devin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Tia-Marie 0000-0002-5677-0544","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":221058,"corporation":false,"usgs":false,"family":"Scott","given":"Tia-Marie","affiliations":[],"preferred":false,"id":862853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reddy, James E. 0000-0002-6998-7267","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":206426,"corporation":false,"usgs":true,"family":"Reddy","given":"James E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keefe, Meaghan R.","contributorId":301858,"corporation":false,"usgs":false,"family":"Keefe","given":"Meaghan","email":"","middleInitial":"R.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":862855,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70241047,"text":"70241047 - 2023 - Mass mortality of collector urchins Tripneustes gratilla in Hawai`i","interactions":[],"lastModifiedDate":"2023-03-08T13:01:51.318233","indexId":"70241047","displayToPublicDate":"2023-02-02T06:58:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Mass mortality of collector urchins Tripneustes gratilla in Hawai`i","docAbstract":"<p class=\"abstract_block\">As grazers, sea urchins are keystone species in tropical marine ecosystems, and their loss can have important ecological ramifications. Die-offs of urchins are frequently described, but their causes are often unclear, in part because systematic examinations of animal tissues at gross and microscopic level are not done. In some areas, urchins are being employed to control invasive marine algae. Here, we describe the pathology of a mortality event in<span>&nbsp;</span><i>Tripneustes gratilla</i><span>&nbsp;</span>in Hawai`i where urchins were translocated to control invasive algae. Although we did not determine the cause of the mortality event, our investigation indicates that animals died from inflammation of the test and epidermal ulceration, followed by inability to maintain coelomic fluid volume, colonization of coelomic fluid by opportunists (diatom, algae), and inappetence. Parasites, bacteria, fungi, and viruses were not evident as a primary cause of death. Pathology was suggestive of a toxin or other environmental cause such as lack of food, possibilities that could be pursued in future investigations. These findings highlight the need for caution and additional tools to better assess health when translocating marine invertebrates to ensure maximal biosecurity.</p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/dao03716","usgsCitation":"Work, T.M., Dagenais, J., Rameyer, R., Breeden, R., and Weatherby, T., 2023, Mass mortality of collector urchins Tripneustes gratilla in Hawai`i: Diseases of Aquatic Organisms, v. 153, p. 17-29, https://doi.org/10.3354/dao03716.","productDescription":"12 p.","startPage":"17","endPage":"29","ipdsId":"IP-147279","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":444624,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03716","text":"Publisher Index Page"},{"id":435472,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92DHFO5","text":"USGS data release","linkHelpText":"Mass mortality of collector urchins (Tripneustes gratilla) in Hawai`i"},{"id":413847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kanehoe Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -157.8804187871006,\n              21.541037666001543\n            ],\n            [\n              -157.8804187871006,\n              21.438855288026048\n            ],\n            [\n              -157.7980563038859,\n              21.438855288026048\n            ],\n            [\n              -157.7980563038859,\n              21.541037666001543\n            ],\n            [\n              -157.8804187871006,\n              21.541037666001543\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":865848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dagenais, Julie","contributorId":245385,"corporation":false,"usgs":false,"family":"Dagenais","given":"Julie","affiliations":[{"id":13108,"text":"IAP World Services","active":true,"usgs":false}],"preferred":false,"id":865849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rameyer, Robert 0000-0002-2145-1746 bob_rameyer@usgs.gov","orcid":"https://orcid.org/0000-0002-2145-1746","contributorId":150128,"corporation":false,"usgs":true,"family":"Rameyer","given":"Robert","email":"bob_rameyer@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":865850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breeden, Renee 0000-0001-5910-3627 rbreeden@usgs.gov","orcid":"https://orcid.org/0000-0001-5910-3627","contributorId":149679,"corporation":false,"usgs":true,"family":"Breeden","given":"Renee","email":"rbreeden@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":865851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weatherby, Tina","contributorId":193516,"corporation":false,"usgs":false,"family":"Weatherby","given":"Tina","affiliations":[],"preferred":false,"id":865852,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243012,"text":"70243012 - 2023 - Field evaluation of semi-automated moisture estimation from geophysics using machine learning","interactions":[],"lastModifiedDate":"2023-04-26T11:53:56.65994","indexId":"70243012","displayToPublicDate":"2023-02-02T06:49:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Field evaluation of semi-automated moisture estimation from geophysics using machine learning","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Geophysical methods can provide three-dimensional (3D), spatially continuous estimates of soil moisture. However, point-to-point comparisons of geophysical properties to measure soil moisture data are frequently unsatisfactory, resulting in geophysics being used for qualitative purposes only. This is because (1) geophysics requires models that relate geophysical signals to soil moisture, (2) geophysical methods have potential uncertainties resulting from smoothing and artifacts introduced from processing and inversion, and (3) results from multiple geophysical methods are not easily combined within a single soil moisture estimation framework. To investigate these potential limitations, an irrigation experiment was performed wherein soil moisture was monitored through time, and several surface geophysical datasets indirectly sensitive to soil moisture were collected before and after irrigation: ground penetrating radar, electrical resistivity tomography (ERT), and frequency domain electromagnetics (FDEM). Data were exported in both raw and processed form, and then snapped to a common 3D grid to facilitate moisture prediction by standard calibration techniques, multivariate regression, and machine learning. A combination of inverted ERT data, raw FDEM, and inverted FDEM data was most informative for predicting soil moisture using a random regression forest model (one-thousand 60/40 training/test cross-validation folds produced root mean squared errors ranging from 0.025–0.046 cm<sup>3</sup>/cm<sup>3</sup>). This cross-validated model was further supported by a separate evaluation using a test set from a physically separate portion of the study area. Machine learning was conducive to a semi-automated model-selection process that could be used for other sites and datasets to locally improve accuracy.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/vzj2.20246","usgsCitation":"Terry, N., Day-Lewis, F., Lane, J.W., Johnson, C., and Werkema, D., 2023, Field evaluation of semi-automated moisture estimation from geophysics using machine learning: Vadose Zone Journal, v. 22, no. 2, e20246, 21, https://doi.org/10.1002/vzj2.20246.","productDescription":"e20246, 21","ipdsId":"IP-140463","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444627,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/vzj2.20246","text":"Publisher Index Page"},{"id":435473,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N9IY4C","text":"USGS data release","linkHelpText":"Geophysical and Other Data From an Irrigation Monitoring Experiment at Haddam Meadows, CT, July 2019"},{"id":416365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","otherGeospatial":"Haddam Meadows State Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.5210095743184,\n              41.489521582364574\n            ],\n            [\n              -72.5210095743184,\n              41.47135891770725\n            ],\n            [\n              -72.49582058082348,\n              41.47135891770725\n            ],\n            [\n              -72.49582058082348,\n              41.489521582364574\n            ],\n            [\n              -72.5210095743184,\n              41.489521582364574\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":870558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, F.D. 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":222721,"corporation":false,"usgs":false,"family":"Day-Lewis","given":"F.D.","affiliations":[],"preferred":false,"id":870559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, John W. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":219742,"corporation":false,"usgs":true,"family":"Lane","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":870560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Carole D. 0000-0001-6941-1578","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":245365,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":870561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werkema, Dale","contributorId":294506,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":870562,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240008,"text":"sir20225122 - 2023 - Creek and quarry water quality at Pipestone National Monument and pilot study of pathogen detection methods in waterfall mist at Winnewissa Falls, Pipestone, Minnesota, 2018–19","interactions":[],"lastModifiedDate":"2026-02-23T20:50:10.120863","indexId":"sir20225122","displayToPublicDate":"2023-02-01T14:59:38","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":"2022-5122","displayTitle":"Creek and Quarry Water Quality at Pipestone National Monument and Pilot Study of Pathogen Detection Methods in Waterfall Mist at Winnewissa Falls, Pipestone, Minnesota, 2018–19","title":"Creek and quarry water quality at Pipestone National Monument and pilot study of pathogen detection methods in waterfall mist at Winnewissa Falls, Pipestone, Minnesota, 2018–19","docAbstract":"<p>Pipestone National Monument is a 301-acre site sacred to many Native American Tribes, providing cultural exhibits and walking trails to Pipestone Creek, Winnewissa Falls, and historical pipestone quarries for numerous visitors each year. However, the Minnesota Pollution Control Agency has determined turbidity and fecal coliform bacteria occur in Pipestone Creek in high enough numbers to be a potential health hazard. Concerns also were raised about exposure risk from waterfall mist to visitors and staff. The U.S. Geological Survey and the National Park Service collaborated on a study to collect 21 water-quality samples from 8 creek sites and 3 quarries in 2018 and analyzed them for over 250 water-quality parameters and contaminants. Additional samples were collected in August 2019 to assess the waterfall mists from Winnewissa Falls. Nutrient concentrations in the creek and quarries were elevated in 2018, indicating they are affected by agricultural inputs. All sample concentrations for nitrate and total nitrogen in Pipestone Creek exceeded Minnesota standards and U.S. Environmental Protection Agency nutrient criteria. Minnesota standards and U.S. Environmental Protection Agency nutrient criteria for total phosphorus also were exceeded in some of the quarry samples. Twenty of 210 micropollutants had measurable concentrations: 13 pesticides, 5 pharmaceuticals, and 2 other types of micropollutants. Atrazine, deethylatrazine, and metolachlor ethanesulfonic acid were detected in all 21 samples collected during the study. The five pharmaceuticals detected were acetaminophen, gabapentin, gemfibrozil, metformin, and oxycodone. Gabapentin (10 of 21 samples) and metformin (8 of 21 samples) were the most commonly detected pharmaceuticals. None of the detected micropollutant concentrations exceeded any Minnesota standards or U.S. Environmental Protection Agency aquatic life benchmarks, except the acute toxicity benchmark for nonvascular plants for atrazine. Two cyanotoxins, anatoxin-a and microcystin, were detected, but concentrations were below U.S. Environmental Protection Agency guidelines for swimming or recreation. Notably, total coliform, fecal coliform, and <i>Escherichia coli</i> were detected in all creek samples, and concentrations generally decreased downstream, suggesting contamination potentially occurred upstream from the monument. <i>Mycobacterium avium</i> ssp. <i>paratuberculosis</i> was not detected in any creek sediment samples but was detected in three water samples from the creek. Three organisms were detected in the 2019 water and mist sampling from Winnewissa Falls. Two of these organisms can cause illness in humans (<i>Cryptosporidium</i> and <i>Legionella</i>), and a third (ruminant <i>Bacteroides</i>) is an indicator of manure contamination. Despite few samples, pathogen-positive water samples and air sampling demonstrated the feasibility and utility of the mist sampling approach outlined in this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225122","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Krall, A.L., King, K.A., Christensen, V.G., Stokdyk, J.P., Scudder Eikenberry, B.C., and Stevenson, S.A., 2023, Creek and quarry water quality at Pipestone National Monument and pilot study of pathogen detection methods in waterfall mist at Winnewissa Falls, Pipestone, Minnesota, 2018–19: U.S. Geological Survey Scientific Investigations Report 2022–5122, 80 p., https://doi.org/10.3133/sir20225122.","productDescription":"Report: ix, 80 p.; Data Release; Dataset","numberOfPages":"94","onlineOnly":"Y","ipdsId":"IP-117666","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500465,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114302.htm","linkFileType":{"id":5,"text":"html"}},{"id":412366,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5122/sir20225122.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":412365,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5122/sir20225122.pdf","text":"Report","size":"6.37 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022–5122"},{"id":412364,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5122/coverthb.jpg"},{"id":412544,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225122/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":412369,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":412368,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BB1EUV","text":"USGS data release","linkHelpText":"Algal toxins and <em>Mycobacterium avium</em> ssp. <em>paratuberculosis</em> measured in surface-water, quarry-water, and sediment samples collected at Pipestone National Monument, Pipestone, Minnesota, 2018–19"},{"id":412367,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5122/images"}],"country":"United States","state":"Minnesota","city":"Pipestone","otherGeospatial":"Winnewissa Falls","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.34104470371224,\n              44.02847804709168\n            ],\n            [\n              -96.34104470371224,\n              43.992813051913146\n            ],\n            [\n              -96.29197039079662,\n              43.992813051913146\n            ],\n            [\n              -96.29197039079662,\n              44.02847804709168\n            ],\n            [\n              -96.34104470371224,\n              44.02847804709168\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\">Upper Midwest Water Science Center</a> <br>U.S. Geological Survey<br>1 Gifford Pinchot Drive <br>Madison, WI 53726</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Characterization of Creek and Quarry Water Quality</li><li>Pilot Study of Pathogen Detection Methods in Waterfall Mist at Winnewissa Falls</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplementary Data Tables</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-02-01","noUsgsAuthors":false,"publicationDate":"2023-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Krall, Aliesha L. 0000-0003-2521-5043 adiekoff@usgs.gov","orcid":"https://orcid.org/0000-0003-2521-5043","contributorId":176545,"corporation":false,"usgs":true,"family":"Krall","given":"Aliesha","email":"adiekoff@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Kerensa A.","contributorId":191814,"corporation":false,"usgs":false,"family":"King","given":"Kerensa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":862552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862554,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scudder Eikenberry, Barbara C. 0000-0001-8058-1201 beikenberry@usgs.gov","orcid":"https://orcid.org/0000-0001-8058-1201","contributorId":199470,"corporation":false,"usgs":true,"family":"Scudder Eikenberry","given":"Barbara","email":"beikenberry@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":false,"id":862555,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stevenson, S. A.","contributorId":301454,"corporation":false,"usgs":false,"family":"Stevenson","given":"S.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":862556,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}