{"pageNumber":"223","pageRowStart":"5550","pageSize":"25","recordCount":185323,"records":[{"id":70256057,"text":"70256057 - 2024 - A far-traveled basalt lava flow in north-central Oregon, USA","interactions":[],"lastModifiedDate":"2024-07-17T12:04:36.782756","indexId":"70256057","displayToPublicDate":"2024-01-22T06:58:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A far-traveled basalt lava flow in north-central Oregon, USA","docAbstract":"<div id=\"144400521\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Widely separated basalt lava-flow outcrops in north-central Oregon, USA, expose products of a single eruptive episode. A Pliocene lava flow, here informally termed the Tetherow basalt, issued from vents near Redmond, in the Deschutes basin of Oregon, as a plains-forming basalt now exposed in continuous outcrops northward for 60 km. A similar basalt crops out 47 km farther north, near Maupin, within what was then a slightly incised ancestral Deschutes River canyon. The northernmost outcrops of this lava flow lie on Fulton Ridge, in the Dalles basin, near the confluence of the Deschutes and Columbia Rivers. Complementary lines of evidence confirm these rocks are all from the same volcanic eruption. Outcrops in the Deschutes and Dalles basins are chemically similar high-titanium basalts, petrographically similar to each other and distinct from other lava flows in the area. Paleomagnetic directions from 11 scattered sites are similar and indistinguishable by various tests for a common mean. Three new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar ages indicate the Tetherow basalt eruption occurred between 5.5 Ma and 5.0 Ma, likely at ca. 5.2 Ma. The widely separated outcrops of this lava flow span 160–180 km along the ancestral Deschutes River and downstream Columbia River. The lava flow’s length and erupted volume of 15–20 km<sup>3</sup><span>&nbsp;</span>are extraordinarily large in a non-flood-basalt setting. This lava flow provides a datum with which to describe regional physiographic history, assess incision rates, and infer tectonic history. Spanning different depositional basins, the Tetherow basalt is a useful chronologic and stratigraphic marker bed.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37178.1","usgsCitation":"Pivarunas, A.F., Sherrod, D.R., O'Connor, J., Cannon, C.M., and Stelten, M.E., 2024, A far-traveled basalt lava flow in north-central Oregon, USA: Geological Society of America Bulletin, v. 136, no. 7-8, p. 3291-3310, https://doi.org/10.1130/B37178.1.","productDescription":"20 p.","startPage":"3291","endPage":"3310","ipdsId":"IP-149248","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":440659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1130/b37178.1","text":"Publisher Index Page"},{"id":431125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.75339386016779,\n              45.81058941349178\n            ],\n            [\n              -121.75339386016779,\n              44.053899304270516\n            ],\n            [\n              -120.31578560249442,\n              44.053899304270516\n            ],\n            [\n              -120.31578560249442,\n              45.81058941349178\n            ],\n            [\n              -121.75339386016779,\n              45.81058941349178\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"136","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Pivarunas, Anthony Francis 0000-0002-0003-2059","orcid":"https://orcid.org/0000-0002-0003-2059","contributorId":301014,"corporation":false,"usgs":true,"family":"Pivarunas","given":"Anthony","email":"","middleInitial":"Francis","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":906547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":906548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":906549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, Charles M. 0000-0003-4136-2350 ccannon@usgs.gov","orcid":"https://orcid.org/0000-0003-4136-2350","contributorId":247680,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":906550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":906551,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251139,"text":"70251139 - 2024 - Evaluating spatial coverage of the greater sage-grouse umbrella to conserve sagebrush-dependent species biodiversity within the Wyoming basins","interactions":[],"lastModifiedDate":"2024-01-24T12:57:44.164829","indexId":"70251139","displayToPublicDate":"2024-01-22T06:55:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating spatial coverage of the greater sage-grouse umbrella to conserve sagebrush-dependent species biodiversity within the Wyoming basins","docAbstract":"<div class=\"html-p\">Biodiversity is threatened due to land-use change, overexploitation, pollution, and anthropogenic climate change, altering ecosystem functioning around the globe. Protecting areas rich in biodiversity is often difficult without fully understanding and mapping species’ ecological niche requirements. As a result, the umbrella species concept is often applied, whereby conservation of a surrogate species is used to indirectly protect species that occupy similar ecological communities. One such species is the greater sage-grouse (<span class=\"html-italic\">Centrocercus urophasianus</span>), which has been used as an umbrella to conserve other species within the sagebrush (<span class=\"html-italic\">Artemisia</span><span>&nbsp;</span>spp.) ecosystem. Sagebrush-steppe ecosystems within the United States have experienced drastic loss, fragmentation, and degradation of remaining habitat, threatening sagebrush-dependent fauna, resulting in west-wide conservation efforts to protect sage-grouse habitats, and presumably other sagebrush wildlife. We evaluated the effectiveness of the greater sage-grouse umbrella to conserve biodiversity using data-driven spatial occupancy and abundance models for seven sagebrush-dependent (obligate or associated) species across the greater Wyoming Basins Ecoregional Assessment (WBEA) area (345,300 km<sup>2</sup>) and assessed overlap with predicted sage-grouse occurrence. Predicted sage-grouse habitat from empirical models only partially (39–58%) captured habitats identified by predicted occurrence models for three sagebrush-obligate songbirds and 60% of biodiversity hotspots (richness of 4–6 species). Sage-grouse priority areas for conservation only captured 59% of model-predicted sage-grouse habitat, and only slightly fewer (56%) biodiversity hotspots. We suggest that the greater sage-grouse habitats may be partially effective as an umbrella for the conservation of sagebrush-dependent species within the sagebrush biome, and management actions aiming to conserve biodiversity should directly consider the explicit mapping of resource requirements for other taxonomic groups.</div>","language":"English","publisher":"MDPI","doi":"10.3390/land13010123","usgsCitation":"Aldridge, C.L., Saher, D., Heinrichs, J., Monroe, A., Leu, M., and Hanser, S.E., 2024, Evaluating spatial coverage of the greater sage-grouse umbrella to conserve sagebrush-dependent species biodiversity within the Wyoming basins: Land, v. 13, no. 1, 123, 22 p., https://doi.org/10.3390/land13010123.","productDescription":"123, 22 p.","ipdsId":"IP-129190","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":440660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land13010123","text":"Publisher Index Page"},{"id":424850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.95934067669556,\n              46.4660838376702\n            ],\n            [\n              -112.95934067669556,\n              38.40822699632798\n            ],\n            [\n              -106.32359848919579,\n              38.40822699632798\n            ],\n            [\n              -106.32359848919579,\n              46.4660838376702\n            ],\n            [\n              -112.95934067669556,\n              46.4660838376702\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":893244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saher, D. Joanne 0000-0002-2452-2570","orcid":"https://orcid.org/0000-0002-2452-2570","contributorId":288928,"corporation":false,"usgs":false,"family":"Saher","given":"D. Joanne","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":893245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":893246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":893247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leu, Matthias 0000-0002-4290-7212","orcid":"https://orcid.org/0000-0002-4290-7212","contributorId":194938,"corporation":false,"usgs":false,"family":"Leu","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":893248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":893249,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251108,"text":"70251108 - 2024 - The economics of decarbonizing Costa Rica's agriculture, forestry and other land uses sectors","interactions":[],"lastModifiedDate":"2024-01-23T12:58:03.361697","indexId":"70251108","displayToPublicDate":"2024-01-22T06:55:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"The economics of decarbonizing Costa Rica's agriculture, forestry and other land uses sectors","docAbstract":"<p>In 2018, Costa Rica demonstrated its commitment to the Paris Agreement and published its Decarbonization Plan for achieving zero net emissions by the year 2050. We evaluate the impacts of the country's strategy for decarbonizing its Agriculture, Forestry and Other Land Uses (AFOLU) sectors by coupling the Integrated Economic-Environmental Modeling framework with high-resolution spatial land use-land cover change and ecosystem services modeling (IEEM+ESM). Our results show that decarbonization of AFOLU would simultaneously enhance carbon storage, water purification, water regulation and erosion mitigation ecosystem services. Moreover, the positive cumulative wealth impact of decarbonization would be approximately US$7.27 billion by 2050 while lifting an additional 3810 individuals out of poverty. From a public investment perspective, decarbonization would have a fiscally neutral impact with the economic benefits sufficient in magnitude to off-set policy implementation costs and generate economic returns of over US$852 million when changes in natural capital stocks and environmental quality are considered. This application to Costa Rica is the first integrated economy-wide analysis of a growing number of decarbonization plans globally. The IEEM+ESM approach provides an integrated framework for analyzing decarbonization plans and can be used to refine AFOLU mitigation strategies to capitalize on synergies and minimize negative trade-offs across the three dimensions of wealth and sustainable economic development, namely economy, society and the environment.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2024.108115","usgsCitation":"Banerjee, O., Cicowiez, M., Vargas, R., Molina-Perez, E., Bagstad, K.J., and Malek, Z., 2024, The economics of decarbonizing Costa Rica's agriculture, forestry and other land uses sectors: Ecological Economics, v. 218, 108115, 15 p., https://doi.org/10.1016/j.ecolecon.2024.108115.","productDescription":"108115, 15 p.","ipdsId":"IP-146533","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":486947,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.vu.nl/en/publications/982c7ba2-e757-4767-b936-64ab57cabf27","text":"External Repository"},{"id":424738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-82.96578,8.22503],[-83.50844,8.44693],[-83.71147,8.65684],[-83.59631,8.83044],[-83.63264,9.05139],[-83.90989,9.2908],[-84.3034,9.48735],[-84.64764,9.61554],[-84.71335,9.90805],[-84.97566,10.08672],[-84.91137,9.79599],[-85.11092,9.55704],[-85.33949,9.83454],[-85.66079,9.93335],[-85.79744,10.13489],[-85.79171,10.43934],[-85.65931,10.75433],[-85.94173,10.89528],[-85.71254,11.08844],[-85.56185,11.21712],[-84.903,10.9523],[-84.67307,11.08266],[-84.35593,10.99923],[-84.19018,10.79345],[-83.89505,10.72684],[-83.65561,10.93876],[-83.40232,10.39544],[-83.01568,9.99298],[-82.5462,9.56613],[-82.93289,9.47681],[-82.92715,9.07433],[-82.71918,8.92571],[-82.86866,8.80727],[-82.82977,8.6263],[-82.91318,8.42352],[-82.96578,8.22503]]]},\"properties\":{\"name\":\"Costa Rica\"}}]}","volume":"218","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banerjee, Onil","contributorId":224437,"corporation":false,"usgs":false,"family":"Banerjee","given":"Onil","email":"","affiliations":[{"id":40887,"text":"Inter-American Development Bank","active":true,"usgs":false}],"preferred":false,"id":893151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cicowiez, Martin","contributorId":299650,"corporation":false,"usgs":false,"family":"Cicowiez","given":"Martin","email":"","affiliations":[{"id":40888,"text":"Universidad Nacional de la Plata","active":true,"usgs":false}],"preferred":false,"id":893152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vargas, Renato 0000-0002-2302-1141","orcid":"https://orcid.org/0000-0002-2302-1141","contributorId":299655,"corporation":false,"usgs":false,"family":"Vargas","given":"Renato","email":"","affiliations":[{"id":64919,"text":"CHW Research","active":true,"usgs":false}],"preferred":false,"id":893153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Molina-Perez, Edmundo 0000-0003-0774-3205","orcid":"https://orcid.org/0000-0003-0774-3205","contributorId":333577,"corporation":false,"usgs":false,"family":"Molina-Perez","given":"Edmundo","email":"","affiliations":[{"id":79938,"text":"Instituto Tecnológico de Monterrey","active":true,"usgs":false}],"preferred":false,"id":893154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":893155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Malek, Ziga 0000-0002-6981-6708","orcid":"https://orcid.org/0000-0002-6981-6708","contributorId":299652,"corporation":false,"usgs":false,"family":"Malek","given":"Ziga","email":"","affiliations":[{"id":64916,"text":"Vrije Univeriteit Amsterdam","active":true,"usgs":false}],"preferred":false,"id":893156,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251093,"text":"70251093 - 2024 - Identifying and constraining marsh-type transitions in response to increasing erosion over the past century","interactions":[],"lastModifiedDate":"2025-05-13T15:59:57.107562","indexId":"70251093","displayToPublicDate":"2024-01-22T06:39:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Identifying and constraining marsh-type transitions in response to increasing erosion over the past century","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Marsh environments, characterized by their flora and fauna, change laterally in response to shoreline erosion, water levels and inundation, and anthropogenic activities. The Grand Bay coastal system (USA) has undergone multiple large-scale geomorphic and hydrologic changes resulting in altered sediment supply, depositional patterns, and degraded barrier islands, leaving wetland salt marshes vulnerable to increased wave activity. Two shore-perpendicular transect sites, one along a low-activity shoreline and the other in a high activity area of the same bay-marsh complex, were sampled to investigate how the marshes within 50 m of the modern shoreline have responded to different levels of increased wave activity over the past century. Surface sediments graded finer and more organic with increased distance from the shoreline while cores generally exhibited a coarsening upwards grain-size trend; all cores contained multiple large sedimentological shifts.<span>&nbsp;</span><sup>210</sup>Pb-based mass accumulation rates over the last two decades were greater than the long-term (centurial) average at each site with the fastest accumulation rates of 7.81 ± 1.58 and 7.79 ± 1.63 kg/m<sup>2</sup>/year at the sites nearest the shoreline. A shoreline change analysis of three time-slices (1848–2017, 1957–2017, 2016–2017) shows increased erosion at both sites since 1848 with modern rates of −0.95 and −0.88 m/year. Downcore sedimentology, mass accumulation rates, and shoreline change rates paired with foraminiferal biofacies and identification of local estuarine indicator species,<span>&nbsp;</span><i>Paratrochammina simplissima</i>, aided in identifying paleo marsh types, their relative proximity to the shoreline, and sediment provenance. The high-energy marsh site transitioned from middle marsh to low marsh in the 1960s, and the low-energy marsh site transitioned later, at the end of the twentieth and early twenty-first century, due to its more protected location. Marsh type transition corresponds chronologically with the coarsening upwards grain-size trend observed and the degradation of Grand Batture Island; since its submergence, signatures of multiple storm event have been preserved downcore.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s12237-023-01320-9","usgsCitation":"Ellis, A.M., Smith, C., Smith, K., and Jacobs, J.A., 2024, Identifying and constraining marsh-type transitions in response to increasing erosion over the past century: Estuaries and Coasts, v. 47, p. 701-723, https://doi.org/10.1007/s12237-023-01320-9.","productDescription":"23 p.","startPage":"701","endPage":"723","ipdsId":"IP-139224","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440666,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-023-01320-9","text":"Publisher Index Page"},{"id":424735,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.55887042293745,\n              30.413358534481205\n            ],\n            [\n              -88.55887042293745,\n              30.2776597547238\n            ],\n            [\n              -88.36935626278142,\n              30.2776597547238\n            ],\n            [\n              -88.36935626278142,\n              30.413358534481205\n            ],\n            [\n              -88.55887042293745,\n              30.413358534481205\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Ellis, Alisha M. 0000-0002-1785-020X aellis@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-020X","contributorId":192957,"corporation":false,"usgs":true,"family":"Ellis","given":"Alisha","email":"aellis@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Christopher G. 0000-0002-8075-4763","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":218439,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kathryn E.L. 0000-0002-7521-7875 kelsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-7521-7875","contributorId":173264,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, Jessica A. 0000-0001-5611-2093","orcid":"https://orcid.org/0000-0001-5611-2093","contributorId":333551,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893071,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250940,"text":"70250940 - 2024 - Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems","interactions":[],"lastModifiedDate":"2024-01-24T16:29:35.838861","indexId":"70250940","displayToPublicDate":"2024-01-21T10:28:42","publicationYear":"2024","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":"Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems","docAbstract":"<p><span>Climate warming is expected to increase global methane (CH</span><sub>4</sub><span>) emissions from wetland ecosystems. Although in&nbsp;situ eddy covariance (EC) measurements at ecosystem scales can potentially detect CH</span><sub>4</sub><span>&nbsp;flux changes, most EC systems have only a few years of data collected, so temporal trends in CH</span><sub>4</sub><span>&nbsp;remain uncertain. Here, we use established drivers to hindcast changes in CH</span><sub>4</sub><span>&nbsp;fluxes (FCH</span><sub>4</sub><span>) since the early 1980s. We trained a machine learning (ML) model on CH</span><sub>4</sub><span>&nbsp;flux measurements from 22 [methane-producing sites] in wetland, upland, and lake sites of the FLUXNET-CH</span><sub>4</sub><span>&nbsp;database with at least two full years of measurements across temperate and boreal biomes. The gradient boosting decision tree ML model then hindcasted daily FCH</span><sub>4</sub><span>&nbsp;over 1981–2018 using meteorological reanalysis data. We found that, mainly driven by rising temperature, half of the sites (</span><i>n</i><span> = 11) showed significant increases in annual, seasonal, and extreme FCH</span><sub>4</sub><span>, with increases in FCH</span><sub>4</sub><span>&nbsp;of ca. 10% or higher found in the fall from 1981–1989 to 2010–2018. The annual trends were driven by increases during summer and fall, particularly at high-CH</span><sub>4</sub><span>-emitting fen sites dominated by aerenchymatous plants. We also found that the distribution of days of extremely high FCH</span><sub>4</sub><span>&nbsp;(defined according to the 95th percentile of the daily FCH</span><sub>4</sub><span>&nbsp;values over a reference period) have become more frequent during the last four decades and currently account for 10–40% of the total seasonal fluxes. The share of extreme FCH</span><sub>4</sub><span>&nbsp;days in the total seasonal fluxes was greatest in winter for boreal/taiga sites and in spring for temperate sites, which highlights the increasing importance of the non-growing seasons in annual budgets. Our results shed light on the effects of climate warming on wetlands, which appears to be extending the CH</span><sub>4</sub><span>&nbsp;emission seasons and boosting extreme emissions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17131","usgsCitation":"Feron, S., Malhotra, A., Bansal, S., Fluet-Chouinard, E., McNicol, G., Knox, S., Delwiche, K., Cordero, R., Ouyang, Z., Zhang, Z., Poulter, B., and Jackson, R., 2024, Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems: Global Change Biology, v. 30, no. 1, e17131, 18 p., https://doi.org/10.1111/gcb.17131.","productDescription":"e17131, 18 p.","ipdsId":"IP-158799","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":440670,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17131","text":"Publisher Index Page"},{"id":424864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Feron, Sarah","contributorId":330045,"corporation":false,"usgs":false,"family":"Feron","given":"Sarah","affiliations":[{"id":78774,"text":"University of Groningen, Netherlands","active":true,"usgs":false}],"preferred":false,"id":892305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malhotra, Avni","contributorId":330047,"corporation":false,"usgs":false,"family":"Malhotra","given":"Avni","affiliations":[{"id":37399,"text":"University of Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":892306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":892307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fluet-Chouinard, Etienne","contributorId":217392,"corporation":false,"usgs":false,"family":"Fluet-Chouinard","given":"Etienne","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":892308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNicol, Gavin 0000-0002-6655-8045","orcid":"https://orcid.org/0000-0002-6655-8045","contributorId":260536,"corporation":false,"usgs":false,"family":"McNicol","given":"Gavin","email":"","affiliations":[],"preferred":false,"id":892309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knox, Sarah 0000-0003-2255-5835","orcid":"https://orcid.org/0000-0003-2255-5835","contributorId":167493,"corporation":false,"usgs":false,"family":"Knox","given":"Sarah","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":892310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Delwiche, Kyle","contributorId":330044,"corporation":false,"usgs":false,"family":"Delwiche","given":"Kyle","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":892311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cordero, Raul","contributorId":333264,"corporation":false,"usgs":false,"family":"Cordero","given":"Raul","email":"","affiliations":[],"preferred":false,"id":892312,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ouyang, Zutao","contributorId":260556,"corporation":false,"usgs":false,"family":"Ouyang","given":"Zutao","email":"","affiliations":[],"preferred":false,"id":892313,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhang, Zhen 0000-0003-0899-1139","orcid":"https://orcid.org/0000-0003-0899-1139","contributorId":149173,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhen","email":"","affiliations":[],"preferred":false,"id":892314,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Poulter, Benjamin","contributorId":330088,"corporation":false,"usgs":false,"family":"Poulter","given":"Benjamin","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":892315,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jackson, Robert B.","contributorId":330089,"corporation":false,"usgs":false,"family":"Jackson","given":"Robert B.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":892316,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70251189,"text":"70251189 - 2024 - Modeling the response of an endangered rabbit population to RHDV2 and vaccination","interactions":[],"lastModifiedDate":"2024-02-26T16:10:41.674522","indexId":"70251189","displayToPublicDate":"2024-01-21T06:52:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the response of an endangered rabbit population to RHDV2 and vaccination","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Rabbit hemorrhagic disease virus 2 (RHDV2), recently detected in the western United States, has the potential to cause mass mortality events in wild rabbit and hare populations. Currently, few management strategies exist other than vaccination. We developed a spatially explicit model of RHDV2 for a population of riparian brush rabbits (<i>Sylvilagus bachmani riparius</i>), a subspecies of brush rabbit classified as endangered in the United States, on a subsection of the San Joaquin River National Wildlife Refuge. The goal of our model was to provide guidance regarding vaccination strategies for an endangered rabbit species. Our model predicts that increased interactions between rabbits (a proxy for landscape connectivity) and disease transmission rates among susceptible hosts (individual brush rabbits and conspecifics) have the greatest influence on the outcome of a potential vaccination campaign. Our model projects that across a range of parameter estimates (given an RHDV2 incursion), the median estimated population size with a 0%–10% vaccination rate after 1 year is 538 rabbits (95% Confidence Interval [C.I.] 69–1235), approximately 36% of the expected size of the study population of 1470 rabbits without an RHDV2 introduction. With a 10%–20%, 20%–30%, or 30%–40% vaccination rate, the median estimated population size increased to 628 rabbits (95% C.I. 130–1298), 723 rabbits (95% C.I. 198–1317), and 774 rabbits (95% C.I. 228–1410), respectively. These estimates represent 43%, 49%, and 53% of the expected population size without an RHDV2 introduction. Overall, a 1% increase in vaccination rate was associated with a six rabbit (95% C.I. 5–7) increase in total remaining population size. This result is dependent on assumptions regarding environmental transmission, home range size (and contact rates of rabbits). Given the relatively short lifespan of rabbits and the potential need for boosters, vaccination programs are most likely to be successful for small target populations where relatively high vaccination rates can be maintained.</p></div></div>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13072","usgsCitation":"Russell, R., Dusek, R.J., Prevost, S., Clifford, D.L., Moriarty, M., and Takahashi, F., 2024, Modeling the response of an endangered rabbit population to RHDV2 and vaccination: Conservation Science and Practice, v. 6, no. 2, e13072, 13 p., https://doi.org/10.1111/csp2.13072.","productDescription":"e13072, 13 p.","ipdsId":"IP-147761","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":440673,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13072","text":"Publisher Index Page"},{"id":425015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin River National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.62025610096535,\n              37.8714544164978\n            ],\n            [\n              -121.62025610096535,\n              37.44731447957429\n            ],\n            [\n              -120.77127456488822,\n              37.44731447957429\n            ],\n            [\n              -120.77127456488822,\n              37.8714544164978\n            ],\n            [\n              -121.62025610096535,\n              37.8714544164978\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Robin 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":333621,"corporation":false,"usgs":false,"family":"Russell","given":"Robin","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":893402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prevost, Stephanie","contributorId":333622,"corporation":false,"usgs":false,"family":"Prevost","given":"Stephanie","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clifford, Deana L.","contributorId":333623,"corporation":false,"usgs":false,"family":"Clifford","given":"Deana","email":"","middleInitial":"L.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":893404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moriarty, Megan","contributorId":333624,"corporation":false,"usgs":false,"family":"Moriarty","given":"Megan","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":893405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takahashi, Fumika","contributorId":333625,"corporation":false,"usgs":false,"family":"Takahashi","given":"Fumika","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893406,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251492,"text":"70251492 - 2024 - Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA)","interactions":[],"lastModifiedDate":"2024-02-13T15:05:07.531397","indexId":"70251492","displayToPublicDate":"2024-01-20T08:57:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA)","docAbstract":"<p><span>The Puget Sound Coastal Storm Modeling System (PS-CoSMoS) is a tool designed to dynamically downscale future climate scenarios (i.e., projected changes in wind and pressure fields and temperature) to compute regional water levels, waves, and compound flooding over large geographic areas (100 s of kilometers) at high spatial resolutions (1 m) pertinent to coastal hazard assessments and planning. This research focuses on advancing robust and computationally efficient approaches to resolving the coastal compound flooding components for complex, estuary environments and their application to the Puget Sound region of Washington State (USA) and the greater Salish Sea. The modeling system provides coastal planners with projections of storm hazards and flood exposure for recurring flood events, spanning the annual to 1-percent annual chance of flooding, necessary to manage public safety and the prioritization and cost-efficient protection of critical infrastructure and valued ecosystems. The tool is applied and validated for Whatcom County, Washington, and includes a cross-shore profile model (XBeach) and overland flooding model (SFINCS) and is nested in a regional tide–surge model and wave model. Despite uncertainties in boundary conditions, hindcast simulations performed with the coupled model system accurately identified areas that were flooded during a recent storm in 2018. Flood hazards and risks are expected to increase exponentially as the sea level rises in the study area of 210 km of shoreline. With 1 m of sea-level rise, annual flood extents are projected to increase from 13 to 33 km</span><sup>2</sup><span>&nbsp;(5 and 13% of low-lying Whatcom County) and flood risk (defined in USD) is projected to increase fifteenfold (from 14 to USD 206 million). PS-CoSMoS, like its prior iteration in California (CoSMoS), provides valuable coastal hazard projections to help communities plan for the impacts of sea-level rise and storms.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w16020346","usgsCitation":"Nederhoff, K., Crosby, S.C., vanArendonk, N.R., Grossman, E.E., Tehranirad, B., Leijnse, T., Klessens, W., and Barnard, P.L., 2024, Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA): Water, v. 16, no. 2, 346, 23 p., https://doi.org/10.3390/w16020346.","productDescription":"346, 23 p.","ipdsId":"IP-147555","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16020346","text":"Publisher Index Page"},{"id":425606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Whatcom County","otherGeospatial":"Salish Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.1,\n              49.1\n            ],\n            [\n              -123.1,\n              48.6\n            ],\n            [\n              -122.4,\n              48.6\n            ],\n            [\n              -122.4,\n              49.1\n            ],\n            [\n              -123.1,\n              49.1\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Nederhoff, Kees 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":334091,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Kees","affiliations":[{"id":39963,"text":"Deltares-USA","active":true,"usgs":false}],"preferred":true,"id":894711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crosby, Sean C. 0000-0002-1499-6836","orcid":"https://orcid.org/0000-0002-1499-6836","contributorId":219466,"corporation":false,"usgs":false,"family":"Crosby","given":"Sean","email":"","middleInitial":"C.","affiliations":[{"id":40000,"text":"Contractor, USGS","active":true,"usgs":false}],"preferred":false,"id":894712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"vanArendonk, Nathan R. 0000-0003-3911-995X","orcid":"https://orcid.org/0000-0003-3911-995X","contributorId":219469,"corporation":false,"usgs":false,"family":"vanArendonk","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":894713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","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":894714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tehranirad, Babak 0000-0002-1634-9165","orcid":"https://orcid.org/0000-0002-1634-9165","contributorId":299107,"corporation":false,"usgs":false,"family":"Tehranirad","given":"Babak","affiliations":[{"id":64774,"text":"contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":894715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leijnse, T.","contributorId":334101,"corporation":false,"usgs":false,"family":"Leijnse","given":"T.","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":894716,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klessens, W.","contributorId":334103,"corporation":false,"usgs":false,"family":"Klessens","given":"W.","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":894717,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":894718,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251129,"text":"70251129 - 2024 - Mixture effects of per- and polyfluoroalkyl substances on embryonic and larval Sheepshead Minnows (Cyprinodon variegatus)","interactions":[],"lastModifiedDate":"2024-01-24T13:07:12.21018","indexId":"70251129","displayToPublicDate":"2024-01-20T07:04:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7597,"text":"Toxics","active":true,"publicationSubtype":{"id":10}},"title":"Mixture effects of per- and polyfluoroalkyl substances on embryonic and larval Sheepshead Minnows (Cyprinodon variegatus)","docAbstract":"<div class=\"html-p\">Per- and polyfluoroalkyl substances (PFAS) are ubiquitous and persistent environmental contaminants originating from many everyday products. Perfluorooctane sulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) are two PFAS that are commonly found at high concentrations in aquatic environments. Both chemicals have previously been shown to be toxic to fish, as well as having complex and largely uncharacterized mixture effects. However, limited information is available on marine and estuarine species. In this study, embryonic and larval sheepshead minnows (<span class=\"html-italic\">Cyprinodon variegatus</span>) were exposed to several PFAS mixtures to assess lethal and sublethal effects. PFOS alone was acutely toxic to larvae, with a 96 h LC<sub>50</sub><span>&nbsp;</span>of 1.97 mg/L (1.64–2.16). PFOS + PFOA resulted in a larval LC<sub>50</sub><span>&nbsp;</span>of 3.10 (2.62–3.79) mg/L, suggesting an antagonistic effect. These observations were supported by significant reductions in malondialdehyde (105% ± 3.25) and increases in reduced glutathione concentrations (43.8% ± 1.78) in PFOS + PFOA exposures compared to PFOS-only treatments, indicating reduced oxidative stress. While PFOA reduced PFOS-induced mortality (97.0% ± 3.03), perfluorohexanoic acid (PFHxA) and perfluorobutanoic acid (PFBA) did not. PFOS alone did not affect expression of peroxisome proliferator-activated receptor alpha (<span class=\"html-italic\">pparα</span>) but significantly upregulated apolipoprotein A4 (<span class=\"html-italic\">apoa4</span>) (112.4% ± 17.8), a downstream product of<span>&nbsp;</span><span class=\"html-italic\">pparα</span>, while none of the other individually tested PFAS affected<span>&nbsp;</span><span class=\"html-italic\">apoa4</span><span>&nbsp;</span>expression. These findings suggest that there are antagonistic interactions between PFOA and PFOS that may reduce mixture toxicity in larval sheepshead minnows through reduced oxidative stress. Elucidating mechanisms of toxicity and interactions between PFAS will aid environmental regulation and management of these ubiquitous pollutants.</div>","language":"English","publisher":"MDPI","doi":"10.3390/toxics12010091","usgsCitation":"Tanabe, P., Key, P.B., Chung, K.W., Pisarski, E.C., Reiner, J.L., E., R.A., Magnuson, J.T., and DeLorenzo, M.E., 2024, Mixture effects of per- and polyfluoroalkyl substances on embryonic and larval Sheepshead Minnows (Cyprinodon variegatus): Toxics, v. 12, no. 1, 91, 15 p., https://doi.org/10.3390/toxics12010091.","productDescription":"91, 15 p.","ipdsId":"IP-160475","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":440679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/toxics12010091","text":"Publisher Index Page"},{"id":424852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Tanabe, Philip","contributorId":333579,"corporation":false,"usgs":false,"family":"Tanabe","given":"Philip","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Key, Peter B.","contributorId":333580,"corporation":false,"usgs":false,"family":"Key","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chung, Katy W.","contributorId":333581,"corporation":false,"usgs":false,"family":"Chung","given":"Katy","email":"","middleInitial":"W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pisarski, Emily C.","contributorId":333582,"corporation":false,"usgs":false,"family":"Pisarski","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reiner, Jessica L.","contributorId":213361,"corporation":false,"usgs":false,"family":"Reiner","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":893215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"E., Rodowa. Alix","contributorId":333583,"corporation":false,"usgs":false,"family":"E.","given":"Rodowa.","email":"","middleInitial":"Alix","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":893216,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":893217,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeLorenzo, Marie E.","contributorId":333585,"corporation":false,"usgs":false,"family":"DeLorenzo","given":"Marie","email":"","middleInitial":"E.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893218,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251280,"text":"70251280 - 2024 - Scattered tree death contributes to substantial forest loss in California","interactions":[],"lastModifiedDate":"2024-02-02T13:04:23.863538","indexId":"70251280","displayToPublicDate":"2024-01-20T07:00:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Scattered tree death contributes to substantial forest loss in California","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In recent years, large-scale tree mortality events linked to global change have occurred around the world. Current forest monitoring methods are crucial for identifying mortality hotspots, but systematic assessments of isolated or scattered dead trees over large areas are needed to reduce uncertainty on the actual extent of tree mortality. Here, we mapped individual dead trees in California using sub-meter resolution aerial photographs from 2020 and deep learning-based dead tree detection. We identified 91.4 million dead trees over 27.8 million hectares of vegetated areas (16.7-24.7% underestimation bias when compared to field data). Among these, a total of 19.5 million dead trees appeared isolated, and 60% of all dead trees occurred in small groups ( ≤ 3 dead trees within a 30 × 30 m grid), which is largely undetected by other state-level monitoring methods. The widespread mortality of individual trees impacts the carbon budget and sequestration capacity of California forests and can be considered a threat to forest health and a fuel source for future wildfires.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-024-44991-z","usgsCitation":"Cheng, Y., Oehmcke, S., Brandt, M., Rosenthal, L.M., Das, A., Vrieling, A., Saatchi, S., Wagner, F., Mugabowindekwe, M., Verbruggen, W., Beier, C., and Horion, S., 2024, Scattered tree death contributes to substantial forest loss in California: Nature Communications, v. 15, 641, 13 p., https://doi.org/10.1038/s41467-024-44991-z.","productDescription":"641, 13 p.","ipdsId":"IP-152998","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440681,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-44991-z","text":"Publisher Index Page"},{"id":435060,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GYXCPG","text":"USGS data release","linkHelpText":"Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks"},{"id":425283,"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              -125.11960177152828,\n              42.37606555507415\n            ],\n            [\n              -124.68077142370008,\n              41.607281622908715\n            ],\n            [\n              -125.18229182121792,\n              40.829226574475\n            ],\n            [\n              -124.55539132432042,\n              39.415162656052075\n            ],\n            [\n              -123.61504057897398,\n              38.29234716335648\n            ],\n            [\n              -122.58065475909306,\n              36.7008545974319\n            ],\n            [\n              -121.01340351684874,\n              34.43188873613681\n            ],\n            [\n              -118.50580152925832,\n              33.33903020300464\n            ],\n            [\n              -117.25200053546294,\n              32.28529837998306\n            ],\n            [\n              -114.55632839880325,\n              32.36476066976036\n            ],\n            [\n              -113.99211795159539,\n              33.57439101335564\n            ],\n            [\n              -114.2428781503543,\n              35.02439478998137\n            ],\n            [\n              -119.54018734913923,\n              38.85597070539828\n            ],\n            [\n              -119.57153237398404,\n              42.39921701416057\n            ],\n            [\n              -125.11960177152828,\n              42.37606555507415\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2024-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheng, Yang","contributorId":211352,"corporation":false,"usgs":false,"family":"Cheng","given":"Yang","email":"","affiliations":[],"preferred":false,"id":893829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oehmcke, Stefan","contributorId":333752,"corporation":false,"usgs":false,"family":"Oehmcke","given":"Stefan","email":"","affiliations":[{"id":25488,"text":"University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":893830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Martin","contributorId":198823,"corporation":false,"usgs":false,"family":"Brandt","given":"Martin","email":"","affiliations":[],"preferred":false,"id":893831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenthal, Lisa Micaela 0000-0003-4030-7587","orcid":"https://orcid.org/0000-0003-4030-7587","contributorId":302747,"corporation":false,"usgs":true,"family":"Rosenthal","given":"Lisa","email":"","middleInitial":"Micaela","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":893876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":893832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vrieling, Anton","contributorId":333753,"corporation":false,"usgs":false,"family":"Vrieling","given":"Anton","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":893834,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saatchi, Sassan","contributorId":192411,"corporation":false,"usgs":false,"family":"Saatchi","given":"Sassan","email":"","affiliations":[],"preferred":false,"id":893835,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Fabien","contributorId":333754,"corporation":false,"usgs":false,"family":"Wagner","given":"Fabien","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":893836,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mugabowindekwe, Maurice","contributorId":333755,"corporation":false,"usgs":false,"family":"Mugabowindekwe","given":"Maurice","email":"","affiliations":[{"id":25488,"text":"University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":893837,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Verbruggen, Wim","contributorId":333756,"corporation":false,"usgs":false,"family":"Verbruggen","given":"Wim","email":"","affiliations":[{"id":25488,"text":"University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":893838,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beier, Claus","contributorId":187574,"corporation":false,"usgs":false,"family":"Beier","given":"Claus","email":"","affiliations":[],"preferred":false,"id":893839,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Horion, Stephanie","contributorId":333757,"corporation":false,"usgs":false,"family":"Horion","given":"Stephanie","email":"","affiliations":[{"id":25488,"text":"University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":893840,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70251215,"text":"70251215 - 2024 - Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems","interactions":[],"lastModifiedDate":"2024-01-29T12:17:12.358785","indexId":"70251215","displayToPublicDate":"2024-01-20T06:14:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17141,"text":"Computers and Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>The Curl-Curl equation is the foundation of time-harmonic electromagnetic (EM) problems in&nbsp;geophysics. The efficiency of its solution is key to&nbsp;EM simulations, accounting for over 95% of the computation cost in geophysical inversions for&nbsp;</span>magnetotelluric<span>&nbsp;or controlled-source EM problems. However, most published EM inversion codes are still&nbsp;central processing unit&nbsp;(CPU)-based and cannot utilize recent computational developments on the&nbsp;graphic processing units&nbsp;(GPUs). Based on a previously proposed divergence-free algorithm developed on CPUs, this study demonstrates the current limits of the CPU-based&nbsp;inversion procedure. To exploit the&nbsp;high throughput&nbsp;capability of GPUs, we propose a hybrid CPU-GPU framework to solve forward and&nbsp;adjoint&nbsp;problems required for EM inversions. The large sparse&nbsp;linear systems&nbsp;arising from the staggered-grid finite difference approximation of the Curl-Curl equation are solved with a mixed-precision&nbsp;Krylov subspace&nbsp;solver implemented on a GPU. The algorithm is then tested in EM forward and adjoint calculations, with real-world three-dimensional numerical examples. Test results show promising 30× kernel-level speed-ups over the conventional CPU algorithm. This approach may further take the complex frequency domain EM inversions onto the next, practical stage on small affordable GPU platforms.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2024.105518","usgsCitation":"Dong, H., Sun, K., Egbert, G.D., Kelbert, A., and Meqbel, N., 2024, Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems: Computers and Geosciences, v. 184, 105518, 13 p., https://doi.org/10.1016/j.cageo.2024.105518.","productDescription":"105518, 13 p.","ipdsId":"IP-151952","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":425080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dong, Hao","contributorId":333681,"corporation":false,"usgs":false,"family":"Dong","given":"Hao","email":"","affiliations":[{"id":79952,"text":"School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China","active":true,"usgs":false}],"preferred":false,"id":893542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sun, Kai","contributorId":333682,"corporation":false,"usgs":false,"family":"Sun","given":"Kai","email":"","affiliations":[{"id":79952,"text":"School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China","active":true,"usgs":false}],"preferred":false,"id":893543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Egbert, Gary D.","contributorId":187462,"corporation":false,"usgs":false,"family":"Egbert","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":893544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meqbel, Naser","contributorId":187463,"corporation":false,"usgs":false,"family":"Meqbel","given":"Naser","email":"","affiliations":[],"preferred":false,"id":893546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70254837,"text":"70254837 - 2024 - Novel technique for suppressing an invasive apex predator minimally alters nitrogen dynamics in Yellowstone Lake, Wyoming, USA","interactions":[],"lastModifiedDate":"2024-06-12T00:19:09.295072","indexId":"70254837","displayToPublicDate":"2024-01-19T19:15:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Novel technique for suppressing an invasive apex predator minimally alters nitrogen dynamics in Yellowstone Lake, Wyoming, USA","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Non-native species have invaded most ecosystems and methods are needed to manage them, especially in locations with sensitive species where they cannot be easily extirpated. Gillnetting for invasive lake trout [<i>Salvelinus namaycush</i><span>&nbsp;</span>(Walbaum, 1792)] in Yellowstone Lake, Yellowstone National Park, USA began in 1995 and their carcasses are deposited into deep areas. This suppression method was recently supplemented by adding carcasses to shallow (&lt; 20&nbsp;m) spawning sites during the autumn spawning period to decrease dissolved oxygen through decomposition, suffocating lake trout embryos. We measured ammonium concentrations (shallow and deep sites), algal biomass, and ammonium uptake by phytoplankton and periphyton (shallow sites only) to investigate the degree to which carcasses caused bottom-up effects. Ammonium concentrations increased in autumn and were higher at deep sites than shallow sites. Algal biomass and ammonium uptake did not increase after adding carcasses, suggesting minimal effects. Periphyton biomass was 9 times higher than phytoplankton, but phytoplankton demanded 4.5 times more ammonium. Returning lake trout carcasses to deep areas of the lake may cause a second algal bloom. Assessing how novel management techniques alter the environment helps managers develop the most successful mitigation strategies that are effective without causing adverse effects to other portions of the ecosystem.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10750-023-05450-w","usgsCitation":"Tronstad, L., Lujan, D.R., Briggs, M., Albertson, L., Glassic, H., Guy, C.S., and Koel, T., 2024, Novel technique for suppressing an invasive apex predator minimally alters nitrogen dynamics in Yellowstone Lake, Wyoming, USA: Hydrobiologia, v. 851, p. 2215-2236, https://doi.org/10.1007/s10750-023-05450-w.","productDescription":"22 p.","startPage":"2215","endPage":"2236","ipdsId":"IP-135186","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.8057817174898,\n              44.7336072527186\n            ],\n            [\n              -110.8057817174898,\n              44.136499944353204\n            ],\n            [\n              -109.93619151254967,\n              44.136499944353204\n            ],\n            [\n              -109.93619151254967,\n              44.7336072527186\n            ],\n            [\n              -110.8057817174898,\n              44.7336072527186\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"851","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Tronstad, Lusha M.","contributorId":337783,"corporation":false,"usgs":false,"family":"Tronstad","given":"Lusha M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":902678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lujan, Dominique R.","contributorId":337781,"corporation":false,"usgs":false,"family":"Lujan","given":"Dominique","email":"","middleInitial":"R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":902677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Michelle A.","contributorId":337786,"corporation":false,"usgs":false,"family":"Briggs","given":"Michelle A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Albertson, Lindsey K.","contributorId":337789,"corporation":false,"usgs":false,"family":"Albertson","given":"Lindsey K.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glassic, Hayley C.","contributorId":337792,"corporation":false,"usgs":false,"family":"Glassic","given":"Hayley C.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902676,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koel, Todd M.","contributorId":337795,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":81042,"text":"Native Fish Conservation Program","active":true,"usgs":false}],"preferred":false,"id":902682,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263933,"text":"70263933 - 2024 - Linking avian malaria parasitemia estimates from quantitative PCR and microscopy reveals new infection patterns in Hawai'i","interactions":[],"lastModifiedDate":"2025-02-28T15:45:57.891687","indexId":"70263933","displayToPublicDate":"2024-01-19T09:41:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2024,"text":"International Journal for Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Linking avian malaria parasitemia estimates from quantitative PCR and microscopy reveals new infection patterns in Hawai'i","docAbstract":"<p><i>Plasmodium</i><span>&nbsp;parasites infect thousands of species and provide an exceptional system for studying host-pathogen dynamics, especially for multi-host pathogens. However, understanding these interactions requires an accurate assay of infection. Assessing&nbsp;</span><i>Plasmodium</i><span>&nbsp;infections using microscopy on blood smears often misses infections with low parasitemias (the fractions of cells infected), and biases in malaria prevalence estimates will differ among hosts that differ in mean parasitemias. We examined&nbsp;</span><i>Plasmodium relictum</i><span>&nbsp;infection and parasitemia using both microscopy of blood smears and quantitative polymerase chain reaction (qPCR) on 299 samples from multiple bird species in Hawai'i and fit models to predict parasitemias from qPCR cycle threshold (Ct) values. We used these models to quantify the extent to which microscopy underestimated infection prevalence and to more accurately estimate infection patterns for each species for a large historical study done by microscopy. We found that most qPCR-positive wild-caught birds in Hawaii had low parasitemias (Ct scores ≥35), which were rarely detected by microscopy. The fraction of infections missed by microscopy differed substantially among eight species due to differences in species’ parasitemia levels. Infection prevalence was likely 4–5-fold higher than previous microscopy estimates for three introduced species, including&nbsp;</span><i>Zosterops japonicus</i><span>, Hawaii’s most abundant forest bird, which had low average parasitemias. In contrast, prevalence was likely only 1.5–2.3-fold higher than previous estimates for&nbsp;</span><i>Himatione sanguinea</i><span>&nbsp;and&nbsp;</span><i>Chlorodrepanis virens</i><span>, two native species with high average parasitemias. Our results indicate that relative patterns of infection among species differ substantially from those observed in previous microscopy studies, and that differences depend on variation in parasitemias among species. Although microscopy of blood smears is useful for estimating the frequency of different&nbsp;</span><i>Plasmodium</i><span>&nbsp;stages and host attributes, more sensitive quantitative methods, including qPCR, are needed to accurately estimate and compare infection prevalence among host species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijpara.2023.10.001","usgsCitation":"Seidi, C., Ferreira, F.C., Parise, K., Paxton, K.L., Paxton, E.H., Atkinson, C., Fleischer, R., Foster, J., and Kipatrick, A., 2024, Linking avian malaria parasitemia estimates from quantitative PCR and microscopy reveals new infection patterns in Hawai'i: International Journal for Parasitology, v. 54, no. 2, p. 123-130, https://doi.org/10.1016/j.ijpara.2023.10.001.","productDescription":"8 p.","startPage":"123","endPage":"130","ipdsId":"IP-155137","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":489967,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijpara.2023.10.001","text":"Publisher Index Page"},{"id":482641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70251160,"text":"70251160 - 2024 - Temporal variability in irrigated land and climate influences on salinity loading across the Upper Colorado River Basin, 1986-2017","interactions":[],"lastModifiedDate":"2024-01-25T12:55:51.096512","indexId":"70251160","displayToPublicDate":"2024-01-19T06:52:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variability in irrigated land and climate influences on salinity loading across the Upper Colorado River Basin, 1986-2017","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Freshwater salinization is a growing global concern impacting human and ecosystem needs with impacts to water availability for human and ecological uses. In the Upper Colorado River Basin (UCRB), dissolved solids in streams compound ongoing water supply challenges to further limit water availability and cause economic damages. Much effort has been dedicated to understanding dissolved solid sources, transport, and management in the region, yet temporal variability in loading from key sources such as irrigated lands and the influence of climate on dissolved solids loading remains unknown. Quantifying the contributions and temporal variability of dissolved solids loads from irrigated lands may benefit salinity management efforts. This study applies a time-varying (dynamic) modeling approach to predict annual dissolved solids loads across the UCRB from 1986 through 2017. Between 66% and 82% of the total accumulated dissolved solids load in the basin is from groundwater (storage and baseflow). Our findings link climate, irrigation, and groundwater, and confirm large storage contributions that have declined slightly with time. Dissolved solids loads increase during wet periods and decrease during dry periods, although the relative contributions of different sources vary little with time. Irrigation enhances loading efficiency relative to unirrigated areas through runoff and groundwater, and can locally be a major source of dissolved solids where irrigation occurs. Results indicate that loads from irrigated areas increase when irrigated area and/or water available for runoff increase. Increased regional aridification over the study period may have contributed to decreasing stream salinity through both quicker surface runoff and lagged groundwater storage processes. Study results may be relevant to salinity management in arid environments where water availability is limited and where irrigation influences salinity loading to streams.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ad18dd","usgsCitation":"Miller, O.L., Putman, A.L., Smith, R.A., Schwarz, G.E., Hess, M.D., McDonnell, M.C., and Jones, D.K., 2024, Temporal variability in irrigated land and climate influences on salinity loading across the Upper Colorado River Basin, 1986-2017: Environmental Research Letters, v. 19, no. 2, 024008, 14 p., https://doi.org/10.1088/1748-9326/ad18dd.","productDescription":"024008, 14 p.","ipdsId":"IP-147816","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":440686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad18dd","text":"Publisher Index Page"},{"id":424946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.17543892334504,\n              43.880984170983\n            ],\n            [\n              -113.17543892334504,\n              34.505329700284875\n            ],\n            [\n              -104.86977486084497,\n              34.505329700284875\n            ],\n            [\n              -104.86977486084497,\n              43.880984170983\n            ],\n            [\n              -113.17543892334504,\n              43.880984170983\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":216556,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putman, Annie L. 0000-0002-9424-1707","orcid":"https://orcid.org/0000-0002-9424-1707","contributorId":225134,"corporation":false,"usgs":true,"family":"Putman","given":"Annie","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":893302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":213621,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory","email":"gschwarz@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":893303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hess, Michael D. 0000-0002-9958-9163","orcid":"https://orcid.org/0000-0002-9958-9163","contributorId":216504,"corporation":false,"usgs":true,"family":"Hess","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonnell, Morgan C. 0000-0001-6946-9286","orcid":"https://orcid.org/0000-0001-6946-9286","contributorId":296906,"corporation":false,"usgs":true,"family":"McDonnell","given":"Morgan","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893305,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893306,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251287,"text":"70251287 - 2024 - Wetland geomorphology and tidal hydrodynamics drive fine-scale fish community composition and abundance","interactions":[],"lastModifiedDate":"2024-02-02T12:48:40.705518","indexId":"70251287","displayToPublicDate":"2024-01-19T06:43:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Wetland geomorphology and tidal hydrodynamics drive fine-scale fish community composition and abundance","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Effective restoration of tidal wetlands for fish communities requires clear goals and mechanistic understanding of the ecosystem drivers which affect&nbsp;fish distribution and abundance. We examined fish community responses to abiotic habitat features in two adjacent but dissimilar freshwater tidal wetlands in the Sacramento-San Joaquin Delta, CA, USA, each of which represents a potential restoration configuration. The first wetland was characterized by a broad, intertidal basin with relatively high hydrodynamic exchange with surrounding waterways. The second wetland was characterized by a dendritic network of shallow subtidal channels with relatively low hydrodynamic exchange. Fish community composition significantly differed between the two wetlands, based on permutational analysis of variance. Fish abundance within and among the two wetlands was also highly affected by specific geomorphic and hydrodynamic characteristics: distance from connection with the main external waterway, bed elevation, and water surface elevation. The physical configuration of a restored tidal wetland, in conjunction with the way tides move across the restored landscape, has strong implications for local fishes. Manipulating these elements to create a landscape mosaic of habitat configurations can be an effective tool for targeting desired restoration outcomes, such as specific fish communities or target fish densities.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10641-023-01507-w","usgsCitation":"Clause, J.K., Farruggia, M.J., Feyrer, F.V., and Young, M.J., 2024, Wetland geomorphology and tidal hydrodynamics drive fine-scale fish community composition and abundance: Environmental Biology of Fishes, v. 107, p. 33-46, https://doi.org/10.1007/s10641-023-01507-w.","productDescription":"14 p","startPage":"33","endPage":"46","ipdsId":"IP-157341","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":440688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10641-023-01507-w","text":"Publisher Index Page"},{"id":425279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.37364768283656,\n              38.58599717537453\n            ],\n            [\n              -122.37364768283656,\n              37.51368931606659\n            ],\n            [\n              -120.96300236622889,\n              37.51368931606659\n            ],\n            [\n              -120.96300236622889,\n              38.58599717537453\n            ],\n            [\n              -122.37364768283656,\n              38.58599717537453\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"107","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Clause, Justin Kinsey 0000-0003-0205-0821","orcid":"https://orcid.org/0000-0003-0205-0821","contributorId":270125,"corporation":false,"usgs":true,"family":"Clause","given":"Justin","email":"","middleInitial":"Kinsey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farruggia, Mary Jade 0000-0003-4234-6678","orcid":"https://orcid.org/0000-0003-4234-6678","contributorId":333769,"corporation":false,"usgs":false,"family":"Farruggia","given":"Mary","email":"","middleInitial":"Jade","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":893872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893874,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70253269,"text":"70253269 - 2024 - Facilitating comparable research in seedling functional ecology","interactions":[],"lastModifiedDate":"2024-05-01T11:40:14.30599","indexId":"70253269","displayToPublicDate":"2024-01-19T06:38:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15221,"text":"Methods in Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Facilitating comparable research in seedling functional ecology","docAbstract":"<ol class=\"\"><li>Ecologists have worked to ascribe function to the variation found in plant populations, communities and ecosystems across environments for at least the past century. The vast body of research in functional ecology has drastically improved understanding of how individuals respond to their environment, communities are assembled and ecosystems function. However, with limited exceptions, few studies have quantified differences in plant function during the<span>&nbsp;</span><i>earliest</i><span>&nbsp;</span>stages of the plant life cycle, and fewer have tested how this early variability shapes populations, communities and ecosystems.</li><li>Drawing from the literature and our collective experience, we describe the current state of knowledge in seedling functional ecology and provide examples of how this subdiscipline can enrich our fundamental understanding of plant function across levels of organisation. To inspire progressive work in this area, we also outline key considerations involved in seedling functional research (who, what, when, where and how to measure seedling traits) and identify remaining challenges and gaps in understanding around methodological approaches.</li><li>Within this conceptual synthesis, we highlight three critical areas in seedling ecology for future research to target. First, given wide variation in the definition of a ‘seedling’, we provide a standard definition based on seed reserve dependence while emphasising the need to measure ontogenetic variation more clearly both within and following the seedling stage. Second, studies demonstrate that seedlings can be studied in multiple media (e.g. soil, agar, filter paper) and conditions (e.g. field, greenhouse, laboratory). We recommend that researchers select methods based on explicit goals, yet follow standard guidelines to reduce methodological noise across studies. Third, research is critically needed to assess the implications of different methodologies on trait measurement and compatibility across studies.</li><li>By highlighting the importance of seedling functional ecology and suggesting pathways to address key challenges, we aim to inspire future research that generates useful and comparable data on seedling functional ecology. This work is critical to explain variation within and among populations, communities and ecosystems and integrate this most vulnerable stage of plant life into ecological frameworks.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14288","usgsCitation":"Winkler, D.E., Garbowski, M., Kozic, K., Ladouceur, E., Larson, J., Martin, S., Rosche, C., Roscher, C., Slate, M.L., and Korell, L., 2024, Facilitating comparable research in seedling functional ecology: Methods in Ecology & Evolution, v. 15, no. 3, p. 464-476, https://doi.org/10.1111/2041-210X.14288.","productDescription":"13 p.","startPage":"464","endPage":"476","ipdsId":"IP-157116","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":440690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14288","text":"Publisher Index Page"},{"id":428264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":899878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garbowski, Magda","contributorId":261595,"corporation":false,"usgs":false,"family":"Garbowski","given":"Magda","email":"","affiliations":[{"id":13099,"text":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":899879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kozic, Kevin","contributorId":335940,"corporation":false,"usgs":false,"family":"Kozic","given":"Kevin","email":"","affiliations":[{"id":80584,"text":"Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, D-06108 Halle (Saale), Germany","active":true,"usgs":false}],"preferred":false,"id":899880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ladouceur, Emma","contributorId":270938,"corporation":false,"usgs":false,"family":"Ladouceur","given":"Emma","email":"","affiliations":[{"id":56222,"text":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Biodiversity Synthesis & Physiological Diversity","active":true,"usgs":false}],"preferred":false,"id":899881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Julie","contributorId":211429,"corporation":false,"usgs":false,"family":"Larson","given":"Julie","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":899882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Sarah","contributorId":335941,"corporation":false,"usgs":false,"family":"Martin","given":"Sarah","email":"","affiliations":[{"id":80587,"text":"German Centre for Integrative Biodiversity Research (iDiv) Leipzig-Halle-Jena, Puschstraße 4, 04103 Leipzig, Germany; UFZ, Helmholtz Centre for Environmental Research, Department Physiological Diversity, Permoserstrassse 15, 04318 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":899883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosche, Christoph 0000-0002-4257-3072","orcid":"https://orcid.org/0000-0002-4257-3072","contributorId":332732,"corporation":false,"usgs":false,"family":"Rosche","given":"Christoph","email":"","affiliations":[{"id":79615,"text":"Martin Luther University Halle-Wittenberg, Große Steinstraße 79/80, 06108 Halle (Saale), Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":899884,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roscher, Christiane","contributorId":333225,"corporation":false,"usgs":false,"family":"Roscher","given":"Christiane","affiliations":[{"id":79811,"text":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig 04103, Germany; Department of Physiological Diversity, Helmholtz-Centre for Environmental Research–UFZ, Leipzig 04318, Germany","active":true,"usgs":false}],"preferred":false,"id":899885,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Slate, Mandy L.","contributorId":335942,"corporation":false,"usgs":false,"family":"Slate","given":"Mandy","email":"","middleInitial":"L.","affiliations":[{"id":80588,"text":"Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA; Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH, 43210 USA","active":true,"usgs":false}],"preferred":false,"id":899886,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Korell, Lotte","contributorId":335943,"corporation":false,"usgs":false,"family":"Korell","given":"Lotte","email":"","affiliations":[{"id":80587,"text":"German Centre for Integrative Biodiversity Research (iDiv) Leipzig-Halle-Jena, Puschstraße 4, 04103 Leipzig, Germany; UFZ, Helmholtz Centre for Environmental Research, Department Physiological Diversity, Permoserstrassse 15, 04318 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":899887,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70250850,"text":"ofr20231081 - 2024 - Water-level change from a multiple-well aquifer test in volcanic rocks, Umatilla Indian Reservation near Mission, northeastern Oregon, 2016","interactions":[],"lastModifiedDate":"2026-01-28T17:35:11.290065","indexId":"ofr20231081","displayToPublicDate":"2024-01-18T15:29:15","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1081","displayTitle":"Water-Level Change from a Multiple-Well Aquifer Test in Volcanic Rocks, Umatilla Indian Reservation near Mission, Northeastern Oregon, 2016","title":"Water-level change from a multiple-well aquifer test in volcanic rocks, Umatilla Indian Reservation near Mission, northeastern Oregon, 2016","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Confederated Tribes of the Umatilla Indian Reservation (CTUIR), (1) estimated water-level change from a multiple-well aquifer test centered on CTUIR well number 422 and (2) evaluated hydraulic connections between the pumping and observation wells on the Umatilla Indian Reservation near Mission, northeastern Oregon to improve the understanding of aquifer characteristics and hydrologic flow boundaries. Water-level changes, or pumping responses, were determined by distinguishing the pumping signal from environmental fluctuations in groundwater levels using analytical water-level models. The pumping well produces water from basalt units from a depth of 450 to 1,057 feet below land surface and was intermittently pumped during February 1–April 18, 2016. Water-level responses to pumping were estimated in the pumping well and in seven observation wells within 4 miles (mi) of the pumping well. The observation wells are open to basalt and some observation wells are either separated from the pumping well by faults and other structural features, within structural zones, or adjacent to structural features. Pumping responses at the observation wells were classified as detected in two wells, ambiguous in one well, and not detected in four wells. Observation-well open-interval elevations overlapped with the pumping-well open interval in both wells with detected pumping responses. Observation wells with detections are 1.8 mi east of the pumping well and across a fault, and 1.4 mi south of the pumping well. The pumping response was classified as ambiguous in an observation well located 1.4 mi west of the pumping well, where the dip of the basalt unit steepens, and adjacent to the Agency syncline. Pumping responses were not detected in observation wells within 0.3 mi of the pumping well where observation-well open-interval elevations are above the top of the pumping well open interval. Analysis of pumping responses indicates (1) a more permeable zone of basalt is adjacent to the lower portion of the pumping-well open interval and extends eastward, (2) basalt adjacent to the upper portion of the pumping-well open-interval is less permeable than the lower portion or separated from the lower portion by a less permeable zone, and (or) (3) a less permeable zone limits vertical hydraulic connectivity between the pumping well and the overlying basalt.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231081","collaboration":"Prepared in cooperation with Confederated Tribes of the Umatilla Indian Reservation","usgsCitation":"Garcia, C.A., Kennedy, J.J., and Ely, K., 2024, Water-level change from a multiple-well aquifer test in volcanic rocks, Umatilla Indian Reservation near Mission, northeastern Oregon, 2016: U.S. Geological Survey Open-File Report 2023–1081, 16 p., https://doi.org/10.3133/ofr20231081.","productDescription":"Report: vii, 16 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-149402","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499191,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115942.htm","linkFileType":{"id":5,"text":"html"}},{"id":424231,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1081/ofr20231081.XML"},{"id":424229,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q1122I","text":"USGS data release","description":"USGS data release","linkHelpText":"Multiple-well aquifer-test data and results, Umatilla Indian Reservation near Mission, northeastern Oregon"},{"id":424228,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231081/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1081"},{"id":424227,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1081/ofr20231081.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1081"},{"id":424230,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1081/images"},{"id":424226,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1081/ofr20231081.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Umatilla Indian Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.5,\n              45.44\n            ],\n            [\n              -118.5,\n              45.36\n            ],\n            [\n              -118.36,\n              45.36\n            ],\n            [\n              -118.36,\n              45.44\n            ],\n            [\n              -118.5,\n              45.44\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a> , <a href=\"https://www.usgs.gov/centers/oregon-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/oregon-water-science-center\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>601 SW 2nd Avenue, Suite 1950<br>Portland, OR 97204</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Description of Monitoring Network</li><li>Hydrogeology</li><li>Data Collection</li><li>Later-Level Modeling and Pumping Response</li><li>Estimation</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2024-01-18","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia, C. 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From August 2020 to October 2021, the U.S. Geological Survey, in cooperation with the New Mexico Environment Department, collected water-quality samples from groundwater and surface-water sites throughout New Mexico. One hundred and seventeen groundwater wells were sampled from unconfined water-table aquifers for PFAS and a geochemical suite including major ions, trace elements, nutrients, dissolved organic carbon (DOC), stable isotopes of oxygen and hydrogen, tritium, and carbon-14 to provide context for groundwater age and geochemical evolution. Eighteen surface-water samples were analyzed for PFAS, and select samples were analyzed for wastewater tracers, major ions, trace elements, and DOC. Blanks and replicates indicated low bias and variability for PFAS, wastewater tracers, and geochemical compounds.</p><p>Twenty-seven of the 117 groundwater sites had PFAS concentrations reported above the detection level, and there were no exceedances of the 2016 U.S. Environmental Protection Agency health advisory of 70 nanograms per liter (ng/L) perfluorooctanoic acid plus perfluorooctane sulfonic acid. Twenty-two sites were resampled and showed similar signatures, excluding some springs. Total PFAS concentrations ranged from 0.91 to 80.3 ng/L. The most frequently detected PFAS at groundwater sites were perfluorobutanesulfonic acid (PFBS; 11 sites), perfluoropentanoic acid (10 sites), and perfluorohexanoic acid (9 sites). Correlations were found between certain PFAS compounds that suggest similar sources. PFAS were also correlated with tritium, DOC, and nitrate, which indicated that a presence of anthropogenic compounds could in turn indicate a likelihood of PFAS occurrence. In addition, a cluster analysis showed that varying geochemical processes and sources of anthropogenic compounds likely contribute to the PFAS signature of each groundwater sample.</p><p>Surface-water samples showed variable total PFAS concentrations ranging from 1.0 to 155.4 ng/L. Sites downstream from urban areas showed numerous PFAS detections. Some undeveloped areas where minimal PFAS detections would be expected had PFAS detections. Correlations between PFAS were found that suggested similar sources. Perfluoropentanoic acid and PFBS were the most frequently detected PFAS, and PFBS had the highest single concentration of 93 ng/L.</p><p>Results of the study provide an overview of PFAS occurrences in the water resources of New Mexico along with geochemical context and are used to identify areas for further scientific investigations that could further characterize PFAS occurrences in New Mexico.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235129","issn":"2328-0328","collaboration":"Prepared in cooperation with the New Mexico Environment Department","usgsCitation":"Travis, R.E., Beisner, K.R., Wilkins, K.L., Jasmann, J.R., Keefe, S.H., and Barber, L.B., 2024, Assessment of per- and polyfluoroalkyl substances in water resources of New Mexico, 2020–21 (ver. 1.2, April 2024): U.S. Geological Survey Scientific Investigations Report 2023–5129, 98 p., https://doi.org/10.3133/sir20235129.","productDescription":"Report: 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Mexico\",\"nation\":\"USA  \"}}]}","edition":"Version 1.0: January 2024; Version 1.1: March 2024; Version 1.2: April 2024","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a> <br>U.S. Geological Survey&nbsp;<br><span class=\"HQEo7\" role=\"link\" data-markjs=\"true\" data-mce-tabindex=\"0\">6700 Edith Blvd. NE <br>Albuquerque, NM 87113</span>&nbsp;<a class=\"ms-outlook-linkify\" href=\"https://www.usgs.gov/centers/nm-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/nm-water\"></a></p><div><a data-mce-href=\"../\" href=\"../\">Contact Pubs Warehouse</a></div>","tableOfContents":"<ul><li>Acknowledgments </li><li>Abstract</li><li>Introduction</li><li>Methods </li><li>Quality-Control Data Interpretation </li><li>Aqueous Chemistry </li><li>Multivariate Statistical Relations Between PFAS and Geochemical Indicators </li><li>Limitations of a Statewide Assessment </li><li>Summary </li><li>References Cited </li><li>Appendix 1. Water-Quality Data for Groundwater and Surface-Water Samples<br aria-hidden=\"true\"></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-01-18","revisedDate":"2024-04-17","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Travis, Rebecca E. 0000-0001-8601-7791 rtravis@usgs.gov","orcid":"https://orcid.org/0000-0001-8601-7791","contributorId":5562,"corporation":false,"usgs":true,"family":"Travis","given":"Rebecca E.","email":"rtravis@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkins, Kate 0000-0002-8096-0153 klwilkins@usgs.gov","orcid":"https://orcid.org/0000-0002-8096-0153","contributorId":264928,"corporation":false,"usgs":true,"family":"Wilkins","given":"Kate","email":"klwilkins@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jasmann, Jeramy Roland 0000-0002-5251-6987","orcid":"https://orcid.org/0000-0002-5251-6987","contributorId":238713,"corporation":false,"usgs":true,"family":"Jasmann","given":"Jeramy","email":"","middleInitial":"Roland","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":892710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keefe, Steffanie H. 0000-0002-3805-6101 shkeefe@usgs.gov","orcid":"https://orcid.org/0000-0002-3805-6101","contributorId":2843,"corporation":false,"usgs":true,"family":"Keefe","given":"Steffanie","email":"shkeefe@usgs.gov","middleInitial":"H.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":892711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":892712,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250990,"text":"sir20235136 - 2024 - Water-quality characteristics of the Red River of the North and tributaries in the Fargo-Moorhead metropolitan area, North Dakota, 2019–22","interactions":[],"lastModifiedDate":"2026-01-30T19:38:43.784816","indexId":"sir20235136","displayToPublicDate":"2024-01-18T12:26:31","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5136","displayTitle":"Water-Quality Characteristics of the Red River of the North and Tributaries in the Fargo-Moorhead Metropolitan Area, North Dakota, 2019–22","title":"Water-quality characteristics of the Red River of the North and tributaries in the Fargo-Moorhead metropolitan area, North Dakota, 2019–22","docAbstract":"<p>The Flood Risk Management Project was initiated in 2008 in the Fargo-Moorhead metropolitan area to reduce flood risk, flood damages, and flood protection costs in the Fargo-Moorhead metropolitan area. In cooperation with the U.S. Army Corps of Engineers, the U.S. Geological Survey initiated a water-quality monitoring study to describe the water-quality characteristics of the Red River of the North and its tributaries in the Fargo-Moorhead metropolitan area during the preconstruction period of the Flood Risk Management Project from October 1, 2019, to October 1, 2022. The monitoring study included the collection of discrete and continuous water-quality data and streamflow monitoring at selected sites that integrated and enhanced existing monitoring programs within the study area.</p><p>Discrete samples collected at 10 sites in the Fargo-Moorhead metropolitan area were analyzed for major ions, trace elements, nutrients, suspended sediment, pesticides, and fecal indicator bacteria. In general, major ion concentrations were higher at sites on the tributaries (Wild Rice, Sheyenne, and Maple Rivers) compared to sites on the Red River of the North. In general, bicarbonate, calcium, magnesium, and sulfate represented most of the dissolved ions measured in samples collected at the 10 sites. Calcium, chloride, fluoride, potassium, silica, and sodium were also measured in samples, but they represented a smaller portion of the total dissolved ions. Sulfate was the most dominant dissolved ion that had the highest concentrations among the major ions measured in samples.</p><p>A total of 18 trace elements were analyzed in discrete samples. Several of the trace elements had concentrations below the laboratory reporting level in all of the samples, including antimony, beryllium, cadmium, chromium, silver, and thallium. Sites on the Wild Rice River generally had the highest concentrations of arsenic, barium, boron, manganese, and nickel compared to the other sites.</p><p>Nutrients analyzed in discrete samples included filtered and unfiltered concentrations of ammonia, nitrate plus nitrite, phosphorus, and organic carbon. The median filtered ammonia concentration at most sites was less than the laboratory reporting level of 0.03 milligram per liter as nitrogen except for the Sheyenne River at Harwood, North Dakota (U.S. Geological Survey [USGS] station 05060400), and Red River of the North near Georgetown, Minnesota (USGS station 05062130). The lowest median unfiltered nitrate plus nitrite concentration was measured at sites on the Red River of the North upstream from the Fargo-Moorhead metropolitan area and the highest median was at sites on the Red River of the North downstream from the Fargo-Moorhead metropolitan area compared to all other sites. The increase in nitrate plus nitrite concentrations could reflect the effect of the wastewater-treatment plant discharge that enters the Red River of the North upstream from the site located downstream from the Fargo-Moorhead metropolitan area and from urban runoff. Phosphorus (unfiltered) concentrations were generally higher at sites on the Maple and Sheyenne Rivers compared to the other sites and were higher at sites on the Red River of the North downstream from the Fargo-Moorhead metropolitan area compared to sites upstream on the Red River of the North.</p><p>Suspended-sediment concentrations were generally highest at sites in the Sheyenne River and lowest in the upstream Red River of the North sites. Suspended-sediment concentration was highly variable in samples collected at the 10 sites, mostly influenced by the occurrence of snowmelt and rainfall-runoff events. The Sheyenne River near Kindred, N. Dak. (USGS station 05059000) had the largest range in sediment concentrations in samples collected at the 10 sites. For all sites other than the Sheyenne River near Kindred, N. Dak., 95 percent or more of the suspended sediment had particle diameter sizes less than 0.0625 millimeter in 50 percent of the samples (median).</p><p>Of the 102 pesticides and pesticide degradates analyzed, 45 constituents had no detectable concentrations in any of the 17 samples collected at five sites. The remaining 57 pesticides had at least one detection in the samples collected at the five sites. The sites on the Wild Rice River (near Abercrombie, N. Dak., USGS station 05053000, and near St. Benedict, N. Dak., USGS station 05053500) and Sheyenne River near Kindred, N. Dak., had fewer pesticide detections compared to the Maple River below Mapleton, N.Dak. (USGS station 05060100) and the Red River of the North at Fargo, N. Dak (USGS station 05054000) and near Georgetown, Minn.</p><p>Patterns in annual loads generally followed the same pattern as streamflow at the 10 sites for water years 2020–22. A water year is the 12-month period from October 1 to September 30 and is designated by the calendar year in which it ends. The greatest loads for all constituents were delivered at the two downstream sites on the Red River of the North; sites that also had the highest annual streamflows among the sites and the greatest loads were delivered in water year 2020 when the highest streamflows occurred at the sites. Likewise, the least loads for most constituents were at the Maple River and were least in 2021 compared to the other years because of low-streamflow conditions.</p><p>Water-quality measurements continuously recorded at the Red River of the North at Hickson, N. Dak. (USGS station 05051522); Red River of the North at Fargo, N. Dak.; and Red River of the North near Georgetown, Minn. included water temperature, specific conductance, dissolved oxygen, pH, and turbidity. Specific conductance values were similar for the Red River of the North near Hickson, N. Dak., and Red River of the North at Fargo, N. Dak., when compared to the Red River of the North near Georgetown, Minn. that had higher values than the other two sites. Dissolved oxygen concentrations and pH were similar among the three sites on the Red River. The patterns in turbidity were mostly related to streamflow conditions and were similar among the three sites on the Red River of the North.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235136","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, St. Paul District","usgsCitation":"Galloway, J.M., Nustad, R.A., and Wheeling, S., 2024, Water-quality characteristics of the Red River of the North and tributaries in the Fargo-Moorhead metropolitan area, North Dakota, 2019–22: U.S. Geological Survey Scientific Investigations Report 2023–5136, 76 p., https://doi.org/10.3133/sir20235136.","productDescription":"Report: vii, 76 p.; Data Release; Dataset","numberOfPages":"88","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-155202","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":499398,"rank":8,"type":{"id":36,"text":"NGMDB Index 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,{"id":70250960,"text":"fs20233049 - 2024 - Assessment of undiscovered continuous oil and gas resources in Upper Cretaceous marine shales of the Raton Basin-Sierra Grande Uplift Province, Colorado and New Mexico, 2022","interactions":[],"lastModifiedDate":"2026-01-27T17:45:59.228267","indexId":"fs20233049","displayToPublicDate":"2024-01-18T11:45:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3049","displayTitle":"Assessment of undiscovered continuous oil and gas resources in Upper Cretaceous marine shales of the Raton Basin-Sierra Grande Uplift Province, Colorado and New Mexico, 2022","title":"Assessment of undiscovered continuous oil and gas resources in Upper Cretaceous marine shales of the Raton Basin-Sierra Grande Uplift Province, Colorado and New Mexico, 2022","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 1.04 billion barrels of oil, 3.9 trillion cubic feet of gas, and 11 million barrels of natural gas liquids in Upper Cretaceous marine shales in the Raton Basin-Sierra Grande Uplift Province in Colorado and New Mexico.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20233049","programNote":"National and Global Petroleum Assessment","usgsCitation":"Finn, T.M., Schenk, C.J., Mercier, T.J., Woodall, C.A., Leathers–Miller, H.M., Le, P.A., Cicero, A.D., Ellis, G.S., Gardner, M.H., Gelman, S.E., Hearon, J.S., Johnson, B.G., Kinney, S.A., Lagesse, J.H., Timm, K.K., Young, S.S., 2024, Assessment of undiscovered continuous oil and gas resources in Upper Cretaceous marine shales of the Raton Basin-Sierra Grande Uplift Province, Colorado and New Mexico, 2022:  U.S. Geological Survey Fact Sheet 2023–3049, 4 p., https://doi.org/10.3133/fs20233049.","productDescription":"Report: 4 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-151198","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499113,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115946.htm","linkFileType":{"id":5,"text":"html"}},{"id":424446,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CZ8DIC","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Raton Basin-Sierra Grande Uplift Province, Raton Continuous Resources: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":424440,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U9I10S","text":"USGS data release","linkHelpText":"Compilation of total organic carbon and pyrolysis analysis data 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,{"id":70250993,"text":"tm2A21 - 2024 - Atlantic salmon (Salmo salar) culture manual","interactions":[],"lastModifiedDate":"2024-01-19T01:01:10.772018","indexId":"tm2A21","displayToPublicDate":"2024-01-18T09:27:37","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-A21","displayTitle":"Atlantic Salmon (<em>Salmo salar</em>) Culture Manual","title":"Atlantic salmon (Salmo salar) culture manual","docAbstract":"<p>The primary objective of the Atlantic Salmon Research Program established at the U.S. Geological Survey Tunison Laboratory of Aquatic Science as mandated by the Great Lakes Restoration Initiative is to restore Atlantic salmon (Linnaeus, 1758; <i>Salmo salar</i>) into Lake Ontario. This objective focuses on evaluating the survival of stocked Atlantic salmon in current Lake Ontario conditions to create a genetic strain that is robust to overcome current physiological and physical barriers. To complete this goal, new and innovative hatchery techniques based on past successful methods and protocols to grow Atlantic salmon to various life stages are described in this standard operating manual.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2A21","usgsCitation":"Chalupnicki, M.A., Chiavelli, R., and McKenna, J.E., Jr., 2024, Atlantic salmon (Salmo salar) culture manual: U.S. Geological Survey Techniques and Methods, book 2, chap. A21, 17 p., https://doi.org/10.3133/tm2A21.","productDescription":"vii, 17 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-156666","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":424546,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/a21/coverthb.jpg"},{"id":424547,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/a21/tm2a21.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 2–A21"},{"id":424548,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/02/a21/tm2a21.XML"},{"id":424549,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/02/a21/images/"},{"id":424550,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm2A21/full"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/great-lakes-science-center\" data-mce-href=\"https://www.usgs.gov/centers/great-lakes-science-center\">Great Lakes Science Center</a><br>U.S. Geological Survey<br>1451 Green Road<br>Ann Arbor, MI 48105</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Adult Brood Collection</li><li>Spawning</li><li>Disease Certification</li><li>Egg Incubation</li><li>Development</li><li>Larval Rearing</li><li>Feeding</li><li>Marking</li><li>Mark Verification</li><li>Smolt Verification</li><li>Stocking</li><li>Record Keeping, Data Management, and Reporting</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-01-18","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Chalupnicki, Marc A. 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":11033,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":892713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiavelli, Rich 0000-0002-8806-2366","orcid":"https://orcid.org/0000-0002-8806-2366","contributorId":333406,"corporation":false,"usgs":false,"family":"Chiavelli","given":"Rich","email":"","affiliations":[],"preferred":false,"id":892714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":892715,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273892,"text":"70273892 - 2024 - On-orbit calibration and performance of the EMIT imaging spectrometer","interactions":[],"lastModifiedDate":"2026-02-12T15:57:04.493839","indexId":"70273892","displayToPublicDate":"2024-01-18T08:44:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"On-orbit calibration and performance of the EMIT imaging spectrometer","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Earth surface Mineral dust source InvesTigation (EMIT) is a remote visible to shortwave infrared (VSWIR) imaging spectrometer that has been operating onboard the International Space Station since July 2022. This article describes EMIT's on-orbit spectroradiometric calibration and validation. Accurate spectroscopy is vital to achieve consistent mapping results with orbital imaging spectrometers. EMIT takes a unique approach to this challenge, with just six optical elements, no shutter, and no onboard calibration systems. Its simple design focuses on uniformity and stability to enable vicarious spectroradiometric calibration. Our experiments demonstrate that this approach is successful, approaching the fidelity of manual field spectroscopy in some cases, and enabling new and more accurate products across diverse Earth science disciplines. EMIT achieves several notable firsts for an instrument of its class. It demonstrates successful on-orbit adjustments of&nbsp;Focal Plane Array&nbsp;(FPA) alignment with sub-micron precision. It offers spectral uniformity better than 98%. Optical artifacts in the measurement channels are at least three orders of magnitude below the primary solar-reflected surface signals. 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Airborne Snow Observatories, Inc.","active":true,"usgs":false}],"preferred":false,"id":955497,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Perez Garcıa-Pando, Carlos","contributorId":366242,"corporation":false,"usgs":false,"family":"Perez Garcıa-Pando","given":"Carlos","affiliations":[{"id":87400,"text":"Barcelona Supercomputing Center, Barcelona, Spain.","active":true,"usgs":false}],"preferred":false,"id":955498,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Pollock, Randy","contributorId":49105,"corporation":false,"usgs":true,"family":"Pollock","given":"Randy","affiliations":[],"preferred":false,"id":955702,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Realmuto, Vincent J.","contributorId":302550,"corporation":false,"usgs":false,"family":"Realmuto","given":"Vincent","email":"","middleInitial":"J.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":955499,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Shaw, Lucas","contributorId":366243,"corporation":false,"usgs":false,"family":"Shaw","given":"Lucas","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955500,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Sullivan, Peter","contributorId":366244,"corporation":false,"usgs":false,"family":"Sullivan","given":"Peter","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955501,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Swayze, Gregg A. 0000-0002-1814-7823","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":239533,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955503,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Thingvold, Erik","contributorId":366245,"corporation":false,"usgs":false,"family":"Thingvold","given":"Erik","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955502,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Thorpe, Andrew K","contributorId":270227,"corporation":false,"usgs":false,"family":"Thorpe","given":"Andrew","email":"","middleInitial":"K","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":955703,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Vannan, Suresh","contributorId":366246,"corporation":false,"usgs":false,"family":"Vannan","given":"Suresh","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955504,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Villarreal, Catalina","contributorId":366247,"corporation":false,"usgs":false,"family":"Villarreal","given":"Catalina","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955505,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Ung, Charlene","contributorId":366249,"corporation":false,"usgs":false,"family":"Ung","given":"Charlene","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955507,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Wilson, Daniel W.","contributorId":366250,"corporation":false,"usgs":false,"family":"Wilson","given":"Daniel","middleInitial":"W.","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955508,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Zandbergen, Sander","contributorId":366251,"corporation":false,"usgs":false,"family":"Zandbergen","given":"Sander","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955509,"contributorType":{"id":1,"text":"Authors"},"rank":56}]}}
,{"id":70250991,"text":"tm2A20 - 2024 - Cisco (Coregonus artedi) and bloater (Coregonus hoyi) culture manual","interactions":[],"lastModifiedDate":"2024-01-19T00:58:39.726351","indexId":"tm2A20","displayToPublicDate":"2024-01-18T07:26:16","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-A20","displayTitle":"Cisco (<em>Coregonus artedi</em>) and Bloater (<em>Coregonus hoyi</em>) Culture Manual","title":"Cisco (Coregonus artedi) and bloater (Coregonus hoyi) culture manual","docAbstract":"<p>The primary objective of the Coregonine Research Program established at the U.S. Geological Survey, Great Lakes Science Center, Tunison Laboratory of Aquatic Science as mandated by the Great Lakes Restoration Initiative is to restore native coregonines, specifically <i>Coregonus artedi</i> (Lesueur, 1818; ciscoes) and <i>Coregonus hoyi</i> (Milner, 1874; bloaters) into Lake Ontario. This objective focuses on providing an alternative food source for top predators and improving the ecological function of Lake Ontario as it relates to native versus invasive species control. To complete this goal, hatchery techniques were developed to grow ciscoes and bloaters; these techniques are described in this standard operating manual.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2A20","usgsCitation":"Chalupnicki, M.A., Mackey, G.E., and McKenna, J.E., Jr., 2024, Cisco (Coregonus artedi) and bloater (Coregonus hoyi) culture manual: U.S. Geological Survey Techniques and Methods, book 2, chap. A20, 25 p., https://doi.org/10.3133/tm2A20.","productDescription":"viii, 25 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-156665","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":424504,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm2A20/full"},{"id":424500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/a20/coverthb.jpg"},{"id":424502,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/02/a20/tm2a20.XML"},{"id":424503,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/02/a20/images/"},{"id":424501,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/a20/tm2a20.pdf","text":"Report","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 2–A20"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/great-lakes-science-center\" data-mce-href=\"https://www.usgs.gov/centers/great-lakes-science-center\">Great Lakes Science Center</a><br>U.S. Geological Survey<br>1451 Green Road<br>Ann Arbor, MI 48105</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Adult Brood Collection</li><li>Spawning</li><li>Bloater</li><li>Disease Certification</li><li>Fish Disease Assays</li><li>Adult Brood Genetic Parentage Analysis</li><li>Egg Incubation</li><li>Development</li><li>Larval Rearing</li><li>Feeding</li><li>Chemical Marking</li><li>Stocking</li><li>Record Keeping, Data Management, and Reporting</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-01-18","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Chalupnicki, Marc A. 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":11033,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":892704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mackey, Gregg 0000-0002-6073-2487 gmackey@usgs.gov","orcid":"https://orcid.org/0000-0002-6073-2487","contributorId":293866,"corporation":false,"usgs":true,"family":"Mackey","given":"Gregg","email":"gmackey@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":892705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":892706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257258,"text":"70257258 - 2024 - Abundance of five sympatric stream dwelling mussels varies with physical habitat","interactions":[],"lastModifiedDate":"2024-08-14T12:25:16.942212","indexId":"70257258","displayToPublicDate":"2024-01-18T07:19:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Abundance of five sympatric stream dwelling mussels varies with physical habitat","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Freshwater mussel species regularly co-occur in streams forming assemblages, but the extent of shared versus unique instream habitat features that contribute to their distribution and abundance is poorly understood. In Massachusetts, a rare species,<span>&nbsp;</span><i>Alasmidonta varicosa</i>, is often found with four other species:<span>&nbsp;</span><i>Alasmidonta undulata</i>,<span>&nbsp;</span><i>Strophitus undulatus</i>,<span>&nbsp;</span><i>Margaritifera margaritifera</i>, and<span>&nbsp;</span><i>Elliptio complanata</i>, yet variation in species composition within assemblages raises questions of potential species-specific habitat associations. Identifying species-level habitat information is critical at a spatial scale that malacologists can use to identify translocation or restoration areas.</li><li>This study investigated whether species abundance varied by mesohabitat type (riffle, run, dam pool, scour pool), instream habitat characteristics, and within-reach location (centre versus edge). From 2016 to 2019, freshwater mussel surveys were conducted in nine streams across Massachusetts and associated habitat information was collected.</li><li>Species abundances were similar across mesohabitat types.<span>&nbsp;</span><i>Elliptio complanata</i><span>&nbsp;</span>was the exception, whereby higher abundances occurred in runs and dammed pools than in riffles. Unique species relationships with habitat existed for<span>&nbsp;</span><i>M.&nbsp;margaritifera</i><span>&nbsp;</span>with macroalgae and emergent vegetation, and<span>&nbsp;</span><i>A.&nbsp;varicosa</i><span>&nbsp;</span>with heterogeneous substrate. Flow transitions, such as depositional areas that create heterogeneous substrates, may provide habitats for<span>&nbsp;</span><i>A.&nbsp;varicosa</i>.</li><li>Most mussel species were distributed with higher abundance in the river centre than the edge;<span>&nbsp;</span><i>E.&nbsp;complanata</i><span>&nbsp;</span>was the only species with a higher abundance at the river edge. Locations with high abundance varied based on unique relationships with pebble heterogeneity (<i>A.&nbsp;varicosa</i>), depth (<i>A.&nbsp;undulata</i>), large wood (<i>A.&nbsp;undulata</i>), and canopy closure (<i>E.&nbsp;complanata</i>). Including physical characteristics in a holistic assessment of habitat that incorporates fish and landscape attributes may further an understanding of river reaches that best support translocated and propagated freshwater mussels.</li></ol><p><br data-mce-bogus=\"1\"></p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.4069","usgsCitation":"Skorupa, A.J., Roy, A.H., Hazelton, P., Perkins, D., Warren, T., and Fisk, A., 2024, Abundance of five sympatric stream dwelling mussels varies with physical habitat: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 34, no. 2, e4069, https://doi.org/10.1002/aqc.4069.","productDescription":"e4069","ipdsId":"IP-147042","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aqc.4069","text":"Publisher Index Page"},{"id":432650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Skorupa, Ayla J.","contributorId":342182,"corporation":false,"usgs":false,"family":"Skorupa","given":"Ayla","email":"","middleInitial":"J.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":909781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":909782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter D.","contributorId":342183,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":909783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, David","contributorId":342184,"corporation":false,"usgs":false,"family":"Perkins","given":"David","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":909784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warren, Timothy","contributorId":342185,"corporation":false,"usgs":false,"family":"Warren","given":"Timothy","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":909785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisk, Andy","contributorId":342187,"corporation":false,"usgs":false,"family":"Fisk","given":"Andy","email":"","affiliations":[{"id":81844,"text":"Connecticut River Conservancy","active":true,"usgs":false}],"preferred":false,"id":909786,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254146,"text":"70254146 - 2024 - Constraining magma storage conditions of the Toba magmatic system: A plagioclase and amphibole perspective","interactions":[],"lastModifiedDate":"2024-05-09T12:11:44.614027","indexId":"70254146","displayToPublicDate":"2024-01-18T07:09:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Constraining magma storage conditions of the Toba magmatic system: A plagioclase and amphibole perspective","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Silicic magma reservoirs are responsible for producing the largest explosive eruptions in the geologic record. Petrologic and geochronological data provide evidence for these systems spending substantial periods of time (10<sup>4</sup>–10<sup>5</sup>&nbsp;yrs) within the upper crust prior to eruption; however, the long-term thermochemical evolution of these systems is not fully understood, as existing petrologic data make it challenging to quantify the time interval a magmatic system has spent at certain temperatures, or its “thermal history”. Here, we investigate the 74&nbsp;ka Youngest Toba Tuff (YTT), one of the largest explosive eruptions in the geologic record, to better constrain the long-term thermal evolution of its magmatic system. We combine forward models of Sr diffusion in plagioclase and hornblende, mineral thermometry, and pre-existing trace-element evolution models to quantify the thermochemical evolution of the YTT magmatic system. We find that plagioclase crystals record decades to centuries of storage at temperatures<span>&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\"></span>750&nbsp;<span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\"></span>C, while hornblende records up to 6200&nbsp;years at the same temperatures. Hornblende crystallizes at temperatures around 820&nbsp;<span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\"></span>C and adjusting our diffusion modeling to this temperature results in no more than 900&nbsp;years at initial crystallization conditions. Combined with previous trace-element modeling work, these results indicate that although there was chemical diversity for long durations in the YTT magma system sufficient to produce unique composition eruptive products, the entire system was experiencing a relatively similar thermal history that did not allow for large bodies of eruptible magma to be present for long periods (<span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\"></span><span>&nbsp;</span>10<sup>2</sup>–10<sup>3</sup>&nbsp;years). Rather, we suggest that magmas within the YTT magmatic system were stored for long durations at thermal conditions where they were uneruptible and only remobilized within a few centuries prior to eruption.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00410-023-02089-7","usgsCitation":"Lubbers, J.E., Kent, A.J., and de Silva, S., 2024, Constraining magma storage conditions of the Toba magmatic system: A plagioclase and amphibole perspective: Contributions to Mineralogy and Petrology, v. 179, 12, 15 p., https://doi.org/10.1007/s00410-023-02089-7.","productDescription":"12, 15 p.","ipdsId":"IP-157051","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":428586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Sumatra","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              97.90796819323884,\n              3.4920463781608646\n            ],\n            [\n              97.90796819323884,\n              1.7800567155424005\n            ],\n            [\n              99.90747991198981,\n              1.7800567155424005\n            ],\n            [\n              99.90747991198981,\n              3.4920463781608646\n            ],\n            [\n              97.90796819323884,\n              3.4920463781608646\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"179","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lubbers, Jordan Edward 0000-0002-3566-5091","orcid":"https://orcid.org/0000-0002-3566-5091","contributorId":330466,"corporation":false,"usgs":true,"family":"Lubbers","given":"Jordan","email":"","middleInitial":"Edward","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":900422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Adam J.R.","contributorId":292680,"corporation":false,"usgs":false,"family":"Kent","given":"Adam","email":"","middleInitial":"J.R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":900423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Silva, Shanaka","contributorId":206802,"corporation":false,"usgs":false,"family":"de Silva","given":"Shanaka","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":900424,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251364,"text":"70251364 - 2024 - Intrinsic and extrinsic regulation of water clarity in a large, floodplain-river ecosystem","interactions":[],"lastModifiedDate":"2024-04-23T15:15:32.981503","indexId":"70251364","displayToPublicDate":"2024-01-18T06:37:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Intrinsic and extrinsic regulation of water clarity in a large, floodplain-river ecosystem","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Ecosystem processes in rivers are thought to be controlled more by extrinsic than intrinsic factors, that is, the result of processes that occur upstream or within their watersheds. However, large floodplain rivers have a diverse assemblage of aquatic areas spanning gradients of connectivity with the main channel and internal controls may at times regulate long-term dynamics. When and where internal controls are important has not been widely explored in rivers. The Upper Mississippi River System (UMRS) provides a unique opportunity to assess regulation of ecosystem processes in a large floodplain river as water clarity has increased in several reaches over the last two decades. To better understand when and where intrinsic variables (for example<i>,</i><span>&nbsp;</span>aquatic vegetation and common carp) and extrinsic variables (for example<i>,</i><span>&nbsp;</span>upstream main channel total suspended solids (TSS) concentration and discharge) regulate water clarity, we describe 24-year trends of TSS in six study reaches of the UMRS. We evaluated the degree to which trends were shared across aquatic areas within each study reach and identified potential drivers of long-term TSS dynamics. Results varied across and within UMRS reaches, but common carp abundance was the strongest predictor in nearly all study reaches. Several models indicated associations with both intrinsic and extrinsic factors, and the marginal model<span>&nbsp;</span><i>r</i><sup>2</sup><span>&nbsp;</span>values (0.26–0.61) suggest that additional environmental factors may have influenced water clarity. Knowledge of the degree to which intrinsic and extrinsic processes regulate water clarity is important for understanding and managing large, floodplain rivers worldwide.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10021-023-00895-5","usgsCitation":"Carhart, A., Drake, D.C., Fischer, J.R., Houser, J.N., Jankowski, K.J., Kalas, J.E., and Lund, E.M., 2024, Intrinsic and extrinsic regulation of water clarity in a large, floodplain-river ecosystem: Ecosystems, v. 27, p. 395-413, https://doi.org/10.1007/s10021-023-00895-5.","productDescription":"19 p.","startPage":"395","endPage":"413","ipdsId":"IP-154464","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":425462,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.4556475999726,\n              44.11793587169143\n            ],\n            [\n              -92.4556475999726,\n              39.2309522838064\n            ],\n            [\n              -89.46736634997285,\n              39.2309522838064\n            ],\n            [\n              -89.46736634997285,\n              44.11793587169143\n            ],\n            [\n              -92.4556475999726,\n              44.11793587169143\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Carhart, Alicia 0000-0002-9977-8124","orcid":"https://orcid.org/0000-0002-9977-8124","contributorId":223884,"corporation":false,"usgs":false,"family":"Carhart","given":"Alicia","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, Deanne C.","contributorId":207846,"corporation":false,"usgs":false,"family":"Drake","given":"Deanne","email":"","middleInitial":"C.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, James R.","contributorId":333909,"corporation":false,"usgs":false,"family":"Fischer","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":894278,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":894279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalas, John E.","contributorId":333910,"corporation":false,"usgs":false,"family":"Kalas","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894280,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lund, Eric M.","contributorId":291763,"corporation":false,"usgs":false,"family":"Lund","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894281,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
]}