{"pageNumber":"169","pageRowStart":"4200","pageSize":"25","recordCount":185177,"records":[{"id":70257097,"text":"70257097 - 2024 - Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands","interactions":[],"lastModifiedDate":"2024-08-13T14:43:37.410358","indexId":"70257097","displayToPublicDate":"2024-07-30T08:21:27","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 rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands","docAbstract":"<p><span>Public lands across the United States are managed for multiple uses, resources, and values ranging from energy development to rare plant conservation. Intensified energy development and other land use changes across the Southwestern United States have increased the need for proactive management to mitigate impacts to rare plants. Habitat suitability models can inform decision-making and lead to more effective conservation of rare plants and their habitats, but high-quality models that are suited for use at local scales are lacking for many species. Our team of scientists and managers developed ensembles of habitat suitability models for five rare plant species in New Mexico using a coproduced, iterative framework complemented by comprehensive ground truthing and tailoring of products for use in public land decisions. Our process resulted in substantial differences from initial models through changes to environmental predictors, species occurrence and background data, and development of new species-specific predictors. Involving species experts and end users in model development can strengthen the process and resulting model and build understanding and trust in final products. Both factors can promote use of models to inform public land permitting and planning decisions that may affect rare plants, including by guiding development away from highly suitable habitats.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13179","usgsCitation":"Jarnevich, C.S., Carter, S.K., Davidson, Z.M., MacPhee, N.D., Alexander, P.J., Hayes, B., Belmaric, P.N., and Harms, B., 2024, Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands: Conservation Science and Practice, v. 6, no. 8, e13179, 15 p., https://doi.org/10.1111/csp2.13179.","productDescription":"e13179, 15 p.","ipdsId":"IP-158708","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439242,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13179","text":"Publisher Index Page"},{"id":432438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.69579033294093,\n              38.37268084260387\n            ],\n            [\n              -108.69579033294093,\n              35.269919346315746\n            ],\n            [\n              -103.45845941486846,\n              35.269919346315746\n            ],\n            [\n              -103.45845941486846,\n              38.37268084260387\n            ],\n            [\n              -108.69579033294093,\n              38.37268084260387\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidson, Zoe M. 0000-0003-2043-8598","orcid":"https://orcid.org/0000-0003-2043-8598","contributorId":336894,"corporation":false,"usgs":false,"family":"Davidson","given":"Zoe","email":"","middleInitial":"M.","affiliations":[{"id":80903,"text":"Bureau of Land Management Headquarters","active":true,"usgs":false}],"preferred":false,"id":909382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacPhee, Nicole D.","contributorId":337152,"corporation":false,"usgs":false,"family":"MacPhee","given":"Nicole","email":"","middleInitial":"D.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":909383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alexander, Patrick J.","contributorId":337153,"corporation":false,"usgs":false,"family":"Alexander","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":909384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, Brandon","contributorId":337154,"corporation":false,"usgs":false,"family":"Hayes","given":"Brandon","email":"","affiliations":[{"id":80983,"text":"Student Services Contractor to USGS FORT","active":true,"usgs":false}],"preferred":false,"id":909385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belmaric, Pairsa N.","contributorId":337156,"corporation":false,"usgs":false,"family":"Belmaric","given":"Pairsa","email":"","middleInitial":"N.","affiliations":[{"id":80983,"text":"Student Services Contractor to USGS FORT","active":true,"usgs":false}],"preferred":false,"id":909386,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harms, Benjamin R","contributorId":267283,"corporation":false,"usgs":false,"family":"Harms","given":"Benjamin R","affiliations":[],"preferred":false,"id":909387,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70270775,"text":"70270775 - 2024 - Environmental DNA (eDNA) surveillance of the federally threatened Slender Chub (Erimystax cahni) in the Clinch River and Powell River","interactions":[],"lastModifiedDate":"2025-08-28T14:42:57.760006","indexId":"70270775","displayToPublicDate":"2024-07-29T09:33:19","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-157-2024","displayTitle":"Environmental DNA (eDNA) surveillance of the federally threatened Slender Chub (<i>Erimystax cahni</i>) in the Clinch River and Powell River","title":"Environmental DNA (eDNA) surveillance of the federally threatened Slender Chub (Erimystax cahni) in the Clinch River and Powell River","docAbstract":"<p><span>The slender chub (<i>Erimystax cahni</i>) is a federally threatened fish native to and geographically restricted to eastern North America. More specifically, the Powell, Clinch, and lower Holston Rivers in Tennessee were historical collection areas. Habitat degradation from multiple sources, including surface mining, agriculture, dams, and urbanization, is associated with the decline of this species - an obligate inhabitant of gravel shoals in large rivers. As of 1964, only 15 voucher specimens were known and no living specimens were documented for decades. A federal recovery plan and Species Status Assessment were developed to determine if slender chub still exists and could be restored. Given the lack of recent observations using conventional sampling to search for its presence, we used environmental DNA sampling to determine their potential presence. Our specific objectives were to (1) develop a quantitative polymerase chain reaction (qPCR) assay aimed at species-specific detection and (2) sample historically known areas of collection. We sampled 43 sites in the Clinch and Powell Rivers. For the first time in almost two decades, we provide evidence for the continued existence of a putatively extinct species. We detected evidence of <i>E. cahni</i> in both the Clinch and Powell Rivers, but only at a few sites. We cannot confirm the presence of <i>E. cahni</i>, and positive eDNA matches could be attributed to amplification from a hybrid. Our results do indicate slender chub DNA perseveres in the Clinch and Powell Rivers and can inform resource agencies of localities to pursue on-the-ground searches for the slender chub with conventional methods (e.g., snorkeling) and potential restoration and recovery sites.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife","doi":"10.3996/css55463605","usgsCitation":"Paine, R.T., Rogers, M.W., and Rosenberger, A.E., 2024, Environmental DNA (eDNA) surveillance of the federally threatened Slender Chub (Erimystax cahni) in the Clinch River and Powell River: Cooperator Science Series CSS-157-2024, ii, 23 p., https://doi.org/10.3996/css55463605.","productDescription":"ii, 23 p.","ipdsId":"IP-156546","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496395,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3996/css55463605","text":"Publisher Index Page"},{"id":495000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","otherGeospatial":"Clinch River, Powell River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.34951874387174,\n              36.84953633730622\n            ],\n            [\n              -84.34254978688318,\n              36.84953633730622\n            ],\n            [\n              -84.34254978688318,\n              35.91039358207085\n            ],\n            [\n              -82.34951874387174,\n              35.91039358207085\n            ],\n            [\n              -82.34951874387174,\n              36.84953633730622\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Paine, Robert T.R.","contributorId":360425,"corporation":false,"usgs":false,"family":"Paine","given":"Robert","middleInitial":"T.R.","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":947047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark W. 0000-0001-7205-5623","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":245525,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70258336,"text":"70258336 - 2024 - Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets","interactions":[],"lastModifiedDate":"2024-11-04T19:39:44.275519","indexId":"70258336","displayToPublicDate":"2024-07-29T09:30:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets","docAbstract":"<p><span>The United Nations' Convention on Biological Diversity set forth the 30 × 30 target, an agenda for countries to protect at least 30% of their terrestrial, inland water, and coastal and marine areas by 2030. With &lt;6 years to reach that goal, riverine conservation professionals are faced with the difficult decision of prioritizing which rivers or river segments should be conserved (protected and/or restored). While incorporating resilience into conservation planning is essential for enhancing, restoring, and maintaining the vital riverine ecosystem services (ES) most threatened by climate change and other environmental and human stresses, this paradigm is at odds with traditional conservation approaches that are either opportunistic or reactionary, where only unique and highly visible ecosystems have been prioritized. Barriers to implementing resilience-based riverine conservation planning include: (1) difficulties in conceptualizing and quantifying resilience; (2) insufficient consideration of the social components of riverine systems; (3) the inapplicability of terrestrial-only conservation models to aquatic systems; and (4) the traditional ad hoc and opportunistic approach to conservation. To overcome these barriers, we propose a resilience-based riverine conservation framework that includes: (1) assessing riverine resilience using indicator frameworks; (2) considering rivers as dynamically coupled social–ecological systems; (3) explicitly incorporating terrestrial–aquatic network connectivity into conservation decision-making; and (4) strategic systems planning using a novel resilience–conservation matrix as a tool. This framework has the potential to transform conservation practices around the globe to more effectively protect river systems and enhance their resilience to climate change and human development.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1753","usgsCitation":"Perry, D.M., Praskievicz, S.J., McManamay, R., Saxena, A., Grimm, K.C., Zegre, N., Bair, L., Ruddell, B., and Rushforth, R., 2024, Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets: WIREs Water, v. 11, no. 6, e1753, 22 p., https://doi.org/10.1002/wat2.1753.","productDescription":"e1753, 22 p.","ipdsId":"IP-155185","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":439243,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1753","text":"Publisher Index Page"},{"id":433693,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Perry, Denielle M.","contributorId":215885,"corporation":false,"usgs":false,"family":"Perry","given":"Denielle","email":"","middleInitial":"M.","affiliations":[{"id":39324,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona 86011, USA","active":true,"usgs":false}],"preferred":false,"id":912928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Praskievicz, Sarah J. 0000-0002-9380-7625","orcid":"https://orcid.org/0000-0002-9380-7625","contributorId":245989,"corporation":false,"usgs":false,"family":"Praskievicz","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":49396,"text":"University of North Carolina-Greensboro","active":true,"usgs":false}],"preferred":false,"id":912929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McManamay, Ryan","contributorId":205277,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":912930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saxena, Alark","contributorId":344137,"corporation":false,"usgs":false,"family":"Saxena","given":"Alark","email":"","affiliations":[{"id":82298,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ 86001","active":true,"usgs":false}],"preferred":false,"id":912931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grimm, K. C.","contributorId":173997,"corporation":false,"usgs":false,"family":"Grimm","given":"K.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":912932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zegre, Nicholas","contributorId":344138,"corporation":false,"usgs":false,"family":"Zegre","given":"Nicholas","email":"","affiliations":[{"id":82301,"text":"Forestry & Natural Resources, West Virginia University, Morgantown, WV 25606","active":true,"usgs":false}],"preferred":false,"id":912933,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":912934,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruddell, Benjamin L.","contributorId":247513,"corporation":false,"usgs":false,"family":"Ruddell","given":"Benjamin L.","affiliations":[{"id":49567,"text":"Northern Arizona University, Professor","active":true,"usgs":false}],"preferred":false,"id":912935,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rushforth, Richard","contributorId":239630,"corporation":false,"usgs":false,"family":"Rushforth","given":"Richard","email":"","affiliations":[],"preferred":false,"id":912936,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70259267,"text":"70259267 - 2024 - Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2024-10-03T14:25:51.587319","indexId":"70259267","displayToPublicDate":"2024-07-29T09:19:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17451,"text":"International Journal of Limnology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic origins of a resurging lake whitefish, <i>Coregonus clupeaformis</i>, population in the Detroit River, Laurentian Great Lakes","title":"Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes","docAbstract":"<p><span>The Detroit River connects Lake Huron and Lake Erie of the Laurentian Great Lakes. The river once supported a substantial lake whitefish (</span><i>Coregonus clupeaformis</i><span>) fishery until the early 1900s, when habitat loss, pollution, and overfishing contributed to the collapse of the fishery and loss of spawning populations in the river. In the early 1970s, efforts were initiated to improve water and habitat quality, and in December 2005 a spawning male lake whitefish and viable eggs were collected; the first documented evidence of spawning since 1916. Researchers have tracked the spawning magnitude of the lake whitefish population in the Detroit River since 2005 by assessing the number of eggs deposited on egg mats. Genetic analysis of larval fish hatched from eggs collected in the field between 2005 and 2018 was used to determine the relative contributions of Lake Erie and Lake Huron to the resurging population. Over 80% of the hatched larvae had parents originating from Lake Erie in all the years sampled. The estimated number of full-sibling families sampled at Belle Isle was the same in 2010 and 2014 and varied between 2009 and 2016 at Fighting Island. The estimated number of lake whitefish parents at Fighting Island decreased in the most recent collections possibly due to loss of habitat on spawning reefs due to sedimentation. Our results provide additional evidence that restored spawning habitat in the Detroit River is again being used by lake whitefish and continued reproduction at these sites may improve the Great Lakes portfolio of ecological and genetic diversity.</span></p>","language":"English","publisher":"EDP Sciences","doi":"10.1051/limn/2024010","usgsCitation":"Stott, W., DeBruyne, R.L., and Roseman, E., 2024, Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes: International Journal of Limnology, v. 60, 10, 9 p., https://doi.org/10.1051/limn/2024010.","productDescription":"10, 9 p.","ipdsId":"IP-159761","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":466975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1051/limn/2024010","text":"Publisher Index Page"},{"id":462537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Detroit River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.92974379886444,\n              42.320885514763944\n            ],\n            [\n              -82.93150820557078,\n              42.375687701381\n            ],\n            [\n              -83.04803645548763,\n              42.36130091588191\n            ],\n            [\n              -83.05685668569498,\n              42.302604707272366\n            ],\n            [\n              -82.92974379886444,\n              42.320885514763944\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.14512855848481,\n              42.281713913516256\n            ],\n            [\n              -83.14512855848481,\n              42.144417203656815\n            ],\n            [\n              -83.08510300477313,\n              42.144417203656815\n            ],\n            [\n              -83.08510300477313,\n              42.281713913516256\n            ],\n            [\n              -83.14512855848481,\n              42.281713913516256\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stott, Wendylee 0000-0002-5252-4901","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":242990,"corporation":false,"usgs":false,"family":"Stott","given":"Wendylee","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":914717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":914718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":914719,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264785,"text":"70264785 - 2024 - Estimating species-specific U.S. waterfowl harvest","interactions":[],"lastModifiedDate":"2025-03-24T13:55:27.652976","indexId":"70264785","displayToPublicDate":"2024-07-29T08:51:12","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Estimating species-specific U.S. waterfowl harvest","docAbstract":"<p><span>The U.S. Fish and Wildlife Service monitors species-specific waterfowl (ducks, seaducks, geese, and brant) harvest through two hunter surveys, one that estimates the total harvest for each waterfowl group, and a second that estimates the species composition of each waterfowl group. Point estimates for species-specific harvest can be computed by multiplying the estimated total harvest by the estimated proportion of the total harvest of each species. However, to date, no uncertainty estimates have been available. Here, we combine these two data sources to provide species-specific harvest estimates at the state and flyway level while characterizing the uncertainty via Bayesian estimation. We take a similar approach to&nbsp;</span><a id=\"xref-ref-8-1\" class=\"xref-bibr\" href=\"https://www.biorxiv.org/content/10.1101/2024.07.27.603620v1#ref-8\" data-mce-href=\"https://www.biorxiv.org/content/10.1101/2024.07.27.603620v1#ref-8\">Smith<span>&nbsp;</span><i>et al</i>. (2022)</a><span>, providing both estimates that treat yearly data as independent and estimates that share information across years via a random walk process. We then discuss the advantages and disadvantages of each approach.</span></p>","language":"English","publisher":"bioRxiv","doi":"10.1101/2024.07.27.603620","usgsCitation":"Augustine, B., and Royle, A., 2024, Estimating species-specific U.S. waterfowl harvest: BioRxiv, https://doi.org/10.1101/2024.07.27.603620.","productDescription":"18 p.","ipdsId":"IP-166476","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1101/2024.07.27.603620","text":"Publisher Index Page"},{"id":483704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":931676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":931677,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273437,"text":"70273437 - 2024 - Effect of a dense inflow on the stratification of a steep-side lake","interactions":[],"lastModifiedDate":"2026-01-13T15:03:06.652077","indexId":"70273437","displayToPublicDate":"2024-07-29T07:57:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Effect of a dense inflow on the stratification of a steep-side lake","docAbstract":"We detail the effect of a small stream of dense inflow that significantly altered the stratification and water quality in a constructed water body in northern British Columbia, Canada. As the dense inflow passed through the epilimnion of the steep-sided lake, it entrained relatively large quantities of water. The resulting mixture of dense inflow and entrained epilimnetic water sank to the bottom of the lake. The removal of water from the epilimnion due to entrainment reduced the epilimnetic thickness. This opposes the normal process of epilimnetic deepening due to wind and convective cooling. The flux of fluid entrained into the dense inflow was calculated to be between 4 and 14 times the inflow, depending primarily on the thickness of the epilimnion. The entrainment had four major effects: (1) it reduced the residence time of the epilimnion from half a year to less than a month; (2) it removed the freshwater cap that resulted from spring ice melt; (3) it enabled fall turnover, which further enhanced deep oxygen content and helped to prevent meromixis from developing in the lake; and (4) it produced a rapid decline in contaminant (i.e., zinc) concentrations in the epilimnion, which received dissolved metals inputs from oxidized sulfide minerals exposed in the subaerial walls of the lake. Given the wide variety of inflows to inland water bodies, some of which are at least seasonally dense, an understanding of the mechanisms detailed here can inform lake management in general, and more specifically, management of water quality in mine-impacted water bodies.","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.12610","usgsCitation":"Pieters, R., Lawrence, G.A., Leung, A., Crusius, J., and Pedersen, T., 2024, Effect of a dense inflow on the stratification of a steep-side lake: Limnology and Oceanography, v. 69, no. 9, p. 1905-1917, https://doi.org/10.1002/lno.12610.","productDescription":"13 p.","startPage":"1905","endPage":"1917","ipdsId":"IP-118887","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":498693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.12610","text":"Publisher Index Page"},{"id":498581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Equity Silver mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -134.58395292750401,\n              59.54223868737142\n            ],\n            [\n              -134.58395292750401,\n              54.40820789569693\n            ],\n            [\n              -120.03652361743525,\n              54.40820789569693\n            ],\n            [\n              -120.03652361743525,\n              59.54223868737142\n            ],\n            [\n              -134.58395292750401,\n              59.54223868737142\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"69","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Pieters, Roger","contributorId":365092,"corporation":false,"usgs":false,"family":"Pieters","given":"Roger","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory A. 0000-0001-8854-8123","orcid":"https://orcid.org/0000-0001-8854-8123","contributorId":305777,"corporation":false,"usgs":false,"family":"Lawrence","given":"Gregory","middleInitial":"A.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leung, Albert","contributorId":365093,"corporation":false,"usgs":false,"family":"Leung","given":"Albert","affiliations":[{"id":87038,"text":"Tetra Tech Canada","active":true,"usgs":false}],"preferred":false,"id":953694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pedersen, Thomas","contributorId":365095,"corporation":false,"usgs":false,"family":"Pedersen","given":"Thomas","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":953696,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70258229,"text":"70258229 - 2024 - 3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","interactions":[],"lastModifiedDate":"2024-09-09T14:11:34.989533","indexId":"70258229","displayToPublicDate":"2024-07-29T07:09:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1513,"text":"Energy and Fuels","active":true,"publicationSubtype":{"id":10}},"title":"3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Accurate reservoir evaluation requires reliable three-dimensional (3-D) geological models. This study conducted 3-D geological modeling for numerical flow simulation of the B1 sand gas hydrate reservoir at the Kuparuk State 7-11-12 pad, Prudhoe Bay Unit, Alaska North Slope. The model integrates well logs, core, and seismic data to address spatial heterogeneity in geological structures and reservoir properties. Two modeling types were performed: structural framework modeling and petrophysical property modeling. For structural framework modeling, seismic data and well log markers were used to reproduce subsurface structures characterized by a normal fault system. A volume-based modeling algorithm and stair-step gridding were applied. The resulting 3-D model comprised 2,640,000 grid cells across 264 layers, including seven fault grids. For petrophysical property modeling, total porosity was initially modeled using sequential Gaussian simulation with collocated cokriging. To reproduce the upward coarsening of the B1 sand, upscaled log-derived total porosity and a 3-D trend depicting total porosity variation were used as primary and secondary data, respectively. Gas hydrate saturation distribution was modeled similarly, with secondary data from estimated porosity distribution and seismic-derived acoustic impedance map enhancing accuracy. Results indicate higher gas hydrate saturation in the upper part of the B1 sand and areas with higher acoustic impedance. Intrinsic permeability was modeled from the total porosity and clay-bound water volume, and effective permeability was derived from the gas hydrate saturation and intrinsic permeability distributions based on the “Tokyo model”. Effective permeability distributions were influenced by the total porosity, gas hydrate saturation, and intrinsic permeability. Within the same layer, higher gas hydrate saturation leads to decreased effective permeability. In total, 100 sets of multiple scenarios were prepared, providing input data for dynamic flow simulations to evaluate the effects of lateral heterogeneity in reservoir properties and the hydraulic characteristics of faults on production behavior for preassessment before the long-term production test.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.4c01665","usgsCitation":"Tamaki, M., Taninaka, M., Ohtsuki, S., Than Tin, A., Shimoda, N., Collett, T., and Boswell, R., 2024, 3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope: Energy and Fuels, v. 28, no. 16, p. 15248-15269, https://doi.org/10.1021/acs.energyfuels.4c01665.","productDescription":"22 p.","startPage":"15248","endPage":"15269","ipdsId":"IP-165534","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":489143,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2447061","text":"External Repository"},{"id":433603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.5,\n              70.5\n            ],\n            [\n              -149.5,\n              70.2\n            ],\n            [\n              -149,\n              70.2\n            ],\n            [\n              -149,\n              70.5\n            ],\n            [\n              -149.5,\n              70.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"16","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Tamaki, Machiko","contributorId":344039,"corporation":false,"usgs":false,"family":"Tamaki","given":"Machiko","affiliations":[{"id":82276,"text":"Japan Oil Engineering Co.","active":true,"usgs":false}],"preferred":false,"id":912666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taninaka, Misuzu","contributorId":344040,"corporation":false,"usgs":false,"family":"Taninaka","given":"Misuzu","email":"","affiliations":[{"id":82276,"text":"Japan Oil Engineering Co.","active":true,"usgs":false}],"preferred":false,"id":912667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ohtsuki, Satoshi","contributorId":344041,"corporation":false,"usgs":false,"family":"Ohtsuki","given":"Satoshi","affiliations":[{"id":82277,"text":"Japan Organization for Metals and Energy Security","active":true,"usgs":false}],"preferred":false,"id":912668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Than Tin, Aung","contributorId":344042,"corporation":false,"usgs":false,"family":"Than Tin","given":"Aung","email":"","affiliations":[{"id":82277,"text":"Japan Organization for Metals and Energy Security","active":true,"usgs":false}],"preferred":false,"id":912669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shimoda, Naoyuki","contributorId":344043,"corporation":false,"usgs":false,"family":"Shimoda","given":"Naoyuki","email":"","affiliations":[{"id":82277,"text":"Japan Organization for Metals and Energy Security","active":true,"usgs":false}],"preferred":false,"id":912670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":912671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boswell, Ray","contributorId":344044,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":64933,"text":"National Energy Technology Laboratory","active":true,"usgs":false}],"preferred":false,"id":912672,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257290,"text":"70257290 - 2024 - Incorporating projected climate conditions to map future riparian refugia","interactions":[],"lastModifiedDate":"2024-08-15T12:08:19.866376","indexId":"70257290","displayToPublicDate":"2024-07-29T07:06:13","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":"Incorporating projected climate conditions to map future riparian refugia","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Identifying areas expected to remain buffered from climate change and maintain biodiversity and ecological function (i.e., climate refugia) is important for climate adaptation planning. As structurally diverse transitional zones between terrestrial and aquatic environments, riparian areas are often biological hotspots and provide critical corridors for species movement, particularly in arid and semi-arid regions. In our study region in the western and central USA, identifying riparian areas that could serve as climate refugia is a priority for wildlife managers. We mapped areas with connected riparian habitats that, based on landscape diversity and projected changes in summer temperatures and landscape runoff, are expected to serve as climate refugia. To incorporate uncertainty and balance the need for near- and long-term planning, we mapped potential refugia for 2 future time periods (2040–2069, 2070–2099) based on 2 climate models that represented divergent but plausible climate outcomes. The approach we developed is not constrained by physiology or behavior of target species and can be used to identify areas expected to fare comparatively well under a wide range of future climate scenarios. Our approach can also be used to identify areas where restoration could increase riparian connectedness and climate resilience.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/csp2.13183","usgsCitation":"Szcodronski, K.E., Wade, A., Burton, S.E., and Hossack, B., 2024, Incorporating projected climate conditions to map future riparian refugia: Conservation Science and Practice, v. 6, no. 8, e13183, 14 p., https://doi.org/10.1111/csp2.13183.","productDescription":"e13183, 14 p.","ipdsId":"IP-152784","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13183","text":"Publisher Index Page"},{"id":432754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Indiana, Kansas, Montana, North Dakota, Nebraska, South Dakota, 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 \"}}]}","volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Szcodronski, Kimberly E 0000-0002-2387-5649","orcid":"https://orcid.org/0000-0002-2387-5649","contributorId":224232,"corporation":false,"usgs":true,"family":"Szcodronski","given":"Kimberly","email":"","middleInitial":"E","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wade, Alisa A.","contributorId":145917,"corporation":false,"usgs":false,"family":"Wade","given":"Alisa A.","affiliations":[{"id":16296,"text":"University of Montana, Polson Montana 59860 USA","active":true,"usgs":false}],"preferred":false,"id":909870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Sarah Elizabeth 0000-0001-7585-6733","orcid":"https://orcid.org/0000-0001-7585-6733","contributorId":295474,"corporation":false,"usgs":true,"family":"Burton","given":"Sarah","email":"","middleInitial":"Elizabeth","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":909871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257088,"text":"70257088 - 2024 - Evidence of long-range transport of selenium downstream of coal mining operations in the Elk River Valley, Canada","interactions":[],"lastModifiedDate":"2024-08-26T14:59:05.469103","indexId":"70257088","displayToPublicDate":"2024-07-29T07:02:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7485,"text":"Environmental Science and Technology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of long-range transport of selenium downstream of coal mining operations in the Elk River Valley, Canada","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Expanding coal-mining operations in the Elk River Valley (British Columbia, Canada) have increased total selenium (Se) concentrations in the transboundary Lake Koocanusa (Canada and United States), but the spatial extent of Se transport from the Elk River Mines is unknown. We evaluated multiple lines of evidence of long-range transport of Se at five sites downstream of the mines relative to a site unaffected by the mines. First, all mine-affected sites had increasing trends in flow-normalized Se concentrations between 2005 and 2021 (35–89%), while no trend was observed at the unaffected site between 2005 and 2017. Second, all mine-affected sites had elevated annual mean Se concentrations and 5-year mean annual loads (2013–2017) by up to an order of magnitude relative to the unaffected site. Third, Se concentrations and the magnitude of the concentration trend generally decreased with distance downstream from the mines while loads increased, which is consistent with the downstream transport of the bulk of the Se load from the mines with smaller contributions from other sources. These results provide multiple lines of evidence that Se from the Elk River Mines is transported over 575 river kilometers and may pose risks to aquatic life in the transboundary Columbia River.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.4c00222","usgsCitation":"Foster, M.J., Storb, M.B., Blake, J., Schmidt, T., Nustad, R.A., and Bussell, A.M., 2024, Evidence of long-range transport of selenium downstream of coal mining operations in the Elk River Valley, Canada: Environmental Science and Technology Letters, v. 11, no. 8, p. 856-861, https://doi.org/10.1021/acs.estlett.4c00222.","productDescription":"6 p.","startPage":"856","endPage":"861","ipdsId":"IP-159264","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":439245,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.4c00222","text":"Publisher Index Page"},{"id":432431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Elk River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.53615187303481,\n              49.60146010788165\n            ],\n            [\n              -115.16325355384835,\n              49.60146010788165\n            ],\n            [\n              -115.16325355384835,\n              49.00995222903563\n            ],\n            [\n              -114.53615187303481,\n              49.00995222903563\n            ],\n            [\n              -114.53615187303481,\n              49.60146010788165\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Foster, Madison Jo 0000-0001-6245-8592","orcid":"https://orcid.org/0000-0001-6245-8592","contributorId":340373,"corporation":false,"usgs":true,"family":"Foster","given":"Madison","email":"","middleInitial":"Jo","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storb, Meryl Biesiot 0000-0002-4346-5022","orcid":"https://orcid.org/0000-0002-4346-5022","contributorId":305621,"corporation":false,"usgs":true,"family":"Storb","given":"Meryl","email":"","middleInitial":"Biesiot","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bussell, Ashley Morgan 0000-0003-4586-7305","orcid":"https://orcid.org/0000-0003-4586-7305","contributorId":303898,"corporation":false,"usgs":true,"family":"Bussell","given":"Ashley","email":"","middleInitial":"Morgan","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909367,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259164,"text":"70259164 - 2024 - A Bayesian age from dispersed plagioclase and zircon dates in the Los Chocoyos ash, Central America","interactions":[],"lastModifiedDate":"2024-10-03T16:01:15.602206","indexId":"70259164","displayToPublicDate":"2024-07-29T06:41:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian age from dispersed plagioclase and zircon dates in the Los Chocoyos ash, Central America","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><div id=\"spara012\" class=\"u-margin-s-bottom\">The eruption that produced the modern Atitlán caldera in Guatemala has a Volcanic Explosivity Index (VEI) greater than 8, making it the largest of the Quaternary in the Central American Volcanic Arc (CAVA). It generated ∼1220 km<sup>3</sup><span>&nbsp;</span>(730 km<sup>3</sup><span>&nbsp;</span>dense rock equivalent) of dispersed rhyolitic ash and unwelded pyroclastic flow deposits known as the Los Chocoyos ash. Despite its scale, the age of the Los Chocoyos ash has been difficult to constrain. Its inferred position in marine sediment off the coast of Ecuador suggests an oxygen isotope-based age of 84 ± 5 thousand years (ka) that has been used for decades. A recent effort to determine the eruption age of the Los Chocoyos ash used U-Th/He and U/Th disequilibrium methods that both yield overdispersed sets of dates from zircon. Using U/Th disequilibrium corrected U-Th/He dates, which include some that are up to 19 ± 8 kyr younger than the youngest U/Th disequilibrium dates, an eruption age of 75 ± 4 ka has been proposed, which overlaps the eruption age of the Youngest Toba Tuff,<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar dated at 73.9 ± 0.6 ka. Critically, the above findings have led to the hypothesis that this pair of sulfate-rich supereruptions may be responsible for a global cooling event ∼74 ka. To further test this supereruption doublet hypothesis we present new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar and U-Th disequilibrium data from plagioclase and zircon rim surfaces, respectively, to quantify the timing of the Los Chocoyos eruption. We apply Bayesian estimation to the overdispersed sets of<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar plagioclase and U-Th disequilibrium zircon dates. This approach accounts for retention of radiogenic<span>&nbsp;</span><sup>40</sup>Ar in plagioclase in a subset of crystals and for crystallization of zircon that may precede the time of eruption and yields remarkably consistent ages from two independent chronometers. The Bayesian estimate of 98 ± 6 ka calculated from 308 individual dates identifies the population nearest to the time of the Los Chocoyos eruption. Interpreted as an eruption age, this finding precludes a link between the Los Chocoyos eruption and global cooling ∼74 ka and rules out the supereruption doublet trigger.</div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118826","usgsCitation":"Baudry, A., Singer, B.S., Jicha, B., Jilly-Rehak, C.E., Vazquez, J.A., and Keller, C.B., 2024, A Bayesian age from dispersed plagioclase and zircon dates in the Los Chocoyos ash, Central America: Earth and Planetary Science Letters, v. 643, 118826, https://doi.org/10.1016/j.epsl.2024.118826.","productDescription":"118826","ipdsId":"IP-165532","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":462406,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"643","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baudry, Alec","contributorId":344647,"corporation":false,"usgs":false,"family":"Baudry","given":"Alec","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":914385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singer, Bradley S.","contributorId":344649,"corporation":false,"usgs":false,"family":"Singer","given":"Bradley","email":"","middleInitial":"S.","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":914386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jicha, Brian","contributorId":213920,"corporation":false,"usgs":false,"family":"Jicha","given":"Brian","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":914387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jilly-Rehak, Christine E.","contributorId":344651,"corporation":false,"usgs":false,"family":"Jilly-Rehak","given":"Christine","email":"","middleInitial":"E.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":914388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":914389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keller, C. Brenhin 0000-0001-7400-9428","orcid":"https://orcid.org/0000-0001-7400-9428","contributorId":330229,"corporation":false,"usgs":false,"family":"Keller","given":"C.","email":"","middleInitial":"Brenhin","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":914390,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70258637,"text":"70258637 - 2024 - Significant challenges to the sustainability of the California coast considering climate change","interactions":[],"lastModifiedDate":"2024-09-19T11:44:57.016793","indexId":"70258637","displayToPublicDate":"2024-07-29T06:41:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Significant challenges to the sustainability of the California coast considering climate change","docAbstract":"<div>Climate change is an existential threat to the environmental and socioeconomic sustainability of the coastal zone and impacts will be complex and widespread. Evidence from California and across the United States shows that climate change is impacting coastal communities and challenging managers with a plethora of stressors already present. Widespread action could be taken that would sustain California’s coastal ecosystems and communities. In this perspective, we highlight the main threat to coastal sustainability: the compound effects of episodic events amplified with ongoing climate change, which will present unprecedented challenges to the state. We present two key challenges for California’s sustainability in the coastal zone: 1) accelerating sea-level rise combined with storm impacts, and 2) continued warming of the oceans and marine heatwaves. Cascading effects from these types of compounding events will occur within the context of an already stressed system that has experienced extensive alterations due to intensive development, resource extraction and harvesting, spatial containment, and other human use pressures. There are critical components that could be used to address these immediate concerns, including comanagement strategies that include diverse groups and organizations, strategic planning integrated across large areas, rapid implementation of solutions, and a cohesive and policy relevant research agenda for the California coast. Much of this has been started in the state, but the scale could be increased, and timelines accelerated. The ideas and information presented here are intended to help expand discussions to sharpen the focus on how to encourage sustainability of California’s iconic coastal region.</div>","language":"English","publisher":"Proceedings of the National Academy of Sciences","doi":"10.1073/pnas.2310077121","usgsCitation":"Thorne, K.M., MacDonald, G.M., Chavez, F.P., Ambrose, R.F., and Barnard, P.L., 2024, Significant challenges to the sustainability of the California coast considering climate change: Proceedings of the National Academy of Sciences, v. 121, no. 32, e2310077121, 10 p., https://doi.org/10.1073/pnas.2310077121.","productDescription":"e2310077121, 10 p.","ipdsId":"IP-159850","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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 \"}}]}","volume":"121","issue":"32","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Thorne, Karen M. 0000-0002-9130-9921 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-9130-9921","contributorId":331465,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":913485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacDonald, Glen M.","contributorId":173294,"corporation":false,"usgs":false,"family":"MacDonald","given":"Glen","email":"","middleInitial":"M.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":913486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chavez, Francisco P.","contributorId":206677,"corporation":false,"usgs":false,"family":"Chavez","given":"Francisco","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":913487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ambrose, Richard F.","contributorId":174708,"corporation":false,"usgs":false,"family":"Ambrose","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":913488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":913489,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264868,"text":"70264868 - 2024 - Near-real-time earthquake-induced fatality estimation using crowdsourced data and few-shot large-language models","interactions":[],"lastModifiedDate":"2025-03-27T13:23:09.681442","indexId":"70264868","displayToPublicDate":"2024-07-27T10:51:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Near-real-time earthquake-induced fatality estimation using crowdsourced data and few-shot large-language models","docAbstract":"<div id=\"d1e819\" class=\"u-margin-s-bottom\">When a damaging earthquake occurs, immediate information about casualties (e.g., fatalities and injuries) is critical for time-sensitive decision-making by emergency response and aid agencies in the first hours and days. Systems such as the Prompt Assessment of Global Earthquakes for Response (PAGER) by the U.S. Geological Survey (USGS) were developed to provide a forecast of such impacts within about 30 min of any significant earthquake globally. However, existing disaster-induced human loss estimation systems often rely on early casualty reports manually retrieved from global traditional media, which are labor-intensive, time-consuming, and have significant time latencies. Recent approaches use keyword matching and topic modeling to identify human casualty-relevant information from social media but tend to be error-prone when dealing with complex semantics in multi-lingual text data and parsing dynamically changing and conflicting human death and injury numbers shared by various unvetted sources in social media platforms.</div><div id=\"d1e821\" class=\"u-margin-s-bottom\">In this work, we introduce an end-to-end framework to significantly improve the timeliness and accuracy of global earthquake-induced human loss forecasting using multi-lingual, crowdsourced social media. Our framework integrates (i) a hierarchical casualty extraction model built upon large language models, prompt design, and few-shot learning to retrieve quantitative human loss claims from social media, (ii) a physical constraint-aware, dynamic-truth discovery model that discovers the truthful human loss from massive noisy and potentially conflicting human loss claims, and (iii) a Bayesian updating loss projection model that dynamically updates the final loss estimation using discovered truths. We test the framework in real-time on a series of global earthquake events in 2021 and 2022 and show that our framework effectively automates the retrieval of casualty information faster but with comparable accuracy to those now retrieved manually by the USGS. The code associated with this work is made available at:<span>&nbsp;</span><a class=\"anchor anchor-primary\" rel=\"noopener\" href=\"https://github.com/SusuXu-s-Lab/Hierarchical-Earthquake-Casualty-Information-Retrieval\" target=\"_blank\" data-mce-href=\"https://github.com/SusuXu-s-Lab/Hierarchical-Earthquake-Casualty-Information-Retrieval\"><span class=\"anchor-text-container\"><span class=\"anchor-text\">https://github.com/SusuXu-s-Lab/Hierarchical-Earthquake-Casualty-Information-Retrieval</span></span></a></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2024.104680","usgsCitation":"Wang, C., Engler, D.T., Li, X., Hou, J., Wald, D., Jaiswal, K.S., and Xu, S., 2024, Near-real-time earthquake-induced fatality estimation using crowdsourced data and few-shot large-language models: International Journal of Disaster Risk Reduction, v. 111, 104680, 18 p., https://doi.org/10.1016/j.ijdrr.2024.104680.","productDescription":"104680, 18 p.","ipdsId":"IP-153312","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":488692,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2024.104680","text":"Publisher Index Page"},{"id":483885,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","noUsgsAuthors":false,"publicationDate":"2024-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Chenguang","contributorId":352749,"corporation":false,"usgs":false,"family":"Wang","given":"Chenguang","affiliations":[],"preferred":false,"id":932109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engler, Davis T. 0000-0002-7133-3545","orcid":"https://orcid.org/0000-0002-7133-3545","contributorId":265962,"corporation":false,"usgs":true,"family":"Engler","given":"Davis","email":"","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Xuechun","contributorId":317874,"corporation":false,"usgs":false,"family":"Li","given":"Xuechun","email":"","affiliations":[{"id":69176,"text":"Stonybrook University","active":true,"usgs":false}],"preferred":false,"id":932103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hou, James","contributorId":221043,"corporation":false,"usgs":false,"family":"Hou","given":"James","email":"","affiliations":[],"preferred":false,"id":932104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wald, David J. 0000-0002-8673-1706","orcid":"https://orcid.org/0000-0002-8673-1706","contributorId":352720,"corporation":false,"usgs":true,"family":"Wald","given":"David J.","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":932107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Susu","contributorId":300127,"corporation":false,"usgs":false,"family":"Xu","given":"Susu","email":"","affiliations":[{"id":65025,"text":"Stony Brook University, NY, USA","active":true,"usgs":false}],"preferred":false,"id":932108,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257856,"text":"70257856 - 2024 - Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds","interactions":[],"lastModifiedDate":"2024-08-29T12:11:12.859224","indexId":"70257856","displayToPublicDate":"2024-07-27T07:05:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">Studies have shown that digital surface models and point clouds generated by the United States Department of Agriculture’s National Agriculture Imagery Program (NAIP) can measure basic forest parameters such as canopy height. However, all measured forest parameters from these studies are evaluated using the differences between NAIP digital surface models (DSMs) and available lidar digital terrain models (DTMs). A survey of NAIP point cloud classification and related ground point-generated DTMs has not yet been undertaken. This study applies a Support Vector Machine (SVM) to classifying ground and nonground points from NAIP point clouds for test sites in Wyoming and Arizona, USA. Light detection and ranging (lidar) data from the U.S. Geological Survey 3D Elevation Program (3DEP) are used to validate the classified NAIP ground points and their corresponding DTMs. Comparing height differences between filtered NAIP ground points and 3DEP ground points, the SVM classifier’s results show that the vertical root mean square error value is 1.87 m and 1.69 m for the Wyoming and Arizona sites, respectively. If NAIP point clouds were continuously measured, the resulting availability of medium-resolution DTMs would benefit the application of multitemporal forest health monitoring and DTM generation.</p></div>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/2150704X.2024.2384095","usgsCitation":"Liu, J., Arundel, S., and Shavers, E.J., 2024, Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds: Remote Sensing Letters, v. 15, no. 8, https://doi.org/10.1080/2150704X.2024.2384095.","ipdsId":"IP-157783","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":433295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Jung-Kuan 0000-0001-8461-8200","orcid":"https://orcid.org/0000-0001-8461-8200","contributorId":333940,"corporation":false,"usgs":true,"family":"Liu","given":"Jung-Kuan","email":"","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":911842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":911843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":911844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257805,"text":"70257805 - 2024 - High resolution identification and quantification of diffuse deep groundwater discharge in mountain rivers using continuous boat-mounted helium measurements","interactions":[],"lastModifiedDate":"2024-08-28T11:55:23.849904","indexId":"70257805","displayToPublicDate":"2024-07-27T06:52:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"High resolution identification and quantification of diffuse deep groundwater discharge in mountain rivers using continuous boat-mounted helium measurements","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">Discharge of deeply sourced groundwater to streams is difficult to locate and quantify, particularly where both discrete and diffuse discharge points exist, but diffuse discharge is one of the primary controls on solute budgets in mountainous watersheds. The noble gas helium is a unique identifier of deep groundwater discharge because groundwater with long residence times is commonly enriched in helium. In this study, a portable mass spectrometer was used to measure longitudinal variation in dissolved helium concentrations in two mountainous rivers at high spatial resolution not feasible with traditional sampling techniques. Helium profiles were then simulated using a mass-balance model to quantify longitudinal variation in groundwater discharge to the receiving rivers. Results indicate helium concentrations were enriched by multiple orders of magnitude above atmospheric equilibrium in both rivers and that this persisted for up to 18&nbsp;km below observed pulse inputs in the Colorado River. Helium mass-balance models match observed longitudinal patterns with the exception of sharp initial increases in helium observed in the rivers. Increased longitudinal groundwater discharge rates correspond to mapped geologic structures in both watersheds that likely transport deep geothermal water. Models show variable sensitivity to spatial assignment of input variables representing the groundwater source, illustrating the importance of collecting data from discrete groundwater discharges where possible. The methodology shows promise for field experiments designed to assess air–water exchange rates and to quantify total groundwater discharge from a combination of discrete and diffuse sources.</p></div></div><div id=\"ab005\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.131717","usgsCitation":"Newman, C.P., Humphrey, E., Brennwald, M., Gardner, W.P., Palko, K.M., Gooseff, M., and Solomon, K., 2024, High resolution identification and quantification of diffuse deep groundwater discharge in mountain rivers using continuous boat-mounted helium measurements: Journal of Hydrology, v. 640, 131717, 12 p., https://doi.org/10.1016/j.jhydrol.2024.131717.","productDescription":"131717, 12 p.","ipdsId":"IP-160271","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":439247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.131717","text":"Publisher Index Page"},{"id":433241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Colorado River, Virgin River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.96736437517845,\n              38.013605174379165\n            ],\n            [\n              -113.96736437517845,\n              37.099133479396826\n            ],\n            [\n              -111.92390734392869,\n              37.099133479396826\n            ],\n            [\n              -111.92390734392869,\n              38.013605174379165\n            ],\n            [\n              -113.96736437517845,\n              38.013605174379165\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.67195421892819,\n              40.639091534844084\n            ],\n            [\n              -108.67195421892819,\n              39.01931084468799\n            ],\n            [\n              -105.11238390642816,\n              39.01931084468799\n            ],\n            [\n              -105.11238390642816,\n              40.639091534844084\n            ],\n            [\n              -108.67195421892819,\n              40.639091534844084\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"640","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Humphrey, Eric 0000-0002-1174-8458","orcid":"https://orcid.org/0000-0002-1174-8458","contributorId":303273,"corporation":false,"usgs":true,"family":"Humphrey","given":"Eric","email":"","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brennwald, Matthias","contributorId":343690,"corporation":false,"usgs":false,"family":"Brennwald","given":"Matthias","email":"","affiliations":[{"id":82160,"text":"Eawag","active":true,"usgs":false}],"preferred":false,"id":911728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, W. Payton 0000-0003-0664-001X","orcid":"https://orcid.org/0000-0003-0664-001X","contributorId":206198,"corporation":false,"usgs":false,"family":"Gardner","given":"W.","email":"","middleInitial":"Payton","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":911729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palko, Kelli M. 0000-0001-8556-710X","orcid":"https://orcid.org/0000-0001-8556-710X","contributorId":343691,"corporation":false,"usgs":true,"family":"Palko","given":"Kelli","middleInitial":"M.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gooseff, Michael","contributorId":181942,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","affiliations":[],"preferred":false,"id":911731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Solomon, Kip 0000-0001-6370-7124","orcid":"https://orcid.org/0000-0001-6370-7124","contributorId":343692,"corporation":false,"usgs":false,"family":"Solomon","given":"Kip","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":911732,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256573,"text":"70256573 - 2024 - Use of otolith microchemistry to determine natal origin for Silver Carp Hypophthalmichthys molitrix in the lower Mississippi River basin","interactions":[],"lastModifiedDate":"2024-08-21T23:51:15.861846","indexId":"70256573","displayToPublicDate":"2024-07-26T18:48:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Use of otolith microchemistry to determine natal origin for Silver Carp Hypophthalmichthys molitrix in the lower Mississippi River basin","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Silver Carp (<i>Hypophthalmichthys molitrix</i>) populations have established and expanded throughout the lower Mississippi River basin (LMRB). Information pertaining to Silver Carp population mixing among rivers within the LMRB is lacking. Documented relations between Silver Carp otolith and river water barium (Ba) and strontium (Sr) microchemical signatures may enable estimation of origins of Silver Carp in the LMRB. Replicate water samples and otoliths from 308 Silver Carp were collected from the Cache, Arkansas, White, Yazoo, St. Francis, L’Anguille, and Mississippi rivers, and Merrisach Lake (situated along a canal connecting the lower reaches of the Arkansas and White rivers) within the LMRB. Water and carp otolith microchemical signatures exhibited consistent differences among water bodies. A classification and regression tree model exhibited 80% accuracy when assigning carp collected from the White, Arkansas, and Mississippi rivers based on fish-water microchemical signatures. Model accuracy decreased as smaller rivers were incorporated into models. Predicted natal origin based on otolith microchemical signatures suggested the White River (43%) and the lower Mississippi River (39%) were the likely origins for ~ 82% of the Silver Carp sampled. Despite the prevalence of adult Silver Carp within the Arkansas River system, fewer (18%) appeared to have originated there compared to the White and Mississippi rivers. Long-term water sampling and additional isotopic measurements may refine analyses to better determine the relative contributions of Silver Carp from the smaller river systems. Population mixing of Silver Carp among tributary rivers appears to be common within the LMRB, and removal efforts may benefit from evaluating the magnitude of fish movement and connectivity among rivers.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03358-7","usgsCitation":"Barshinger, C., Eggleton, M., and Spurgeon, J.J., 2024, Use of otolith microchemistry to determine natal origin for Silver Carp Hypophthalmichthys molitrix in the lower Mississippi River basin: Biological Invasions, v. 26, p. 3091-3106, https://doi.org/10.1007/s10530-024-03358-7.","productDescription":"16 p.","startPage":"3091","endPage":"3106","ipdsId":"IP-154189","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439248,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-024-03358-7","text":"Publisher Index Page"},{"id":433043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"lower Mississippi River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.4948221585292,\n              28.641330031026257\n            ],\n            [\n              -87.48505653352923,\n              28.641330031026257\n            ],\n            [\n              -87.48505653352923,\n              37.88257249549886\n            ],\n            [\n              -92.4948221585292,\n              37.88257249549886\n            ],\n            [\n              -92.4948221585292,\n              28.641330031026257\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Barshinger, CE","contributorId":341204,"corporation":false,"usgs":false,"family":"Barshinger","given":"CE","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggleton, MA","contributorId":341205,"corporation":false,"usgs":false,"family":"Eggleton","given":"MA","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256201,"text":"70256201 - 2024 - Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics","interactions":[],"lastModifiedDate":"2024-12-10T14:58:03.581464","indexId":"70256201","displayToPublicDate":"2024-07-26T09:48:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics","docAbstract":"<p><span>Assisted migration is a means of introducing a species into a previously unoccupied area. Although this idea is relatively new for many species, there are many extant examples involving fish that can be instructive. We studied a case of assisted migration where upstream access of migrating adult coho salmon&nbsp;</span><i>Oncorhynchus kisutch</i><span>&nbsp;over a naturally impassible barrier was established through construction of fish ladders. Although these passage structures have successfully allowed coho salmon to colonize upstream locations, managers had concerns regarding how efficiently these structures passed fish, as well as questions regarding access to specific upstream habitats, and passage barriers further upstream. To address these concerns, we developed a stage-based population model to explore: (1) influences of passage over structures, (2) rearing habitats upstream of the structures, and (3) consequences of additional barriers to passage in the system. Model simulations suggest high fish passage at the ladders was associated with the highest smolt and adult abundance of coho salmon. The importance of passage was strongly influenced by juveniles rearing in a lake, where increased lake rearing at each passage scenario increased abundance of smolts and adults. Opening habitat further upstream was estimated to increase adult and smolt abundance up to 12%. Results of model simulations also helped to identify uncertainties that could be evaluated further (e.g., juvenile rearing in the lake). In general, our findings point to the importance of considering a full range of processes that can drive expected outcomes for assisted migration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4355","usgsCitation":"Benjamin, J.R., Dunham, J., Scheidt, N., Rothenbuecher, C., and Sipher, C., 2024, Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics: River Research and Applications, v. 40, no. 10, p. 2009-2021, https://doi.org/10.1002/rra.4355.","productDescription":"13 p.","startPage":"2009","endPage":"2021","ipdsId":"IP-158160","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498297,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4355","text":"Publisher Index Page"},{"id":431563,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Lake Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.29673317980877,\n              44.305114347462364\n            ],\n            [\n              -123.71555076750579,\n              44.305114347462364\n            ],\n            [\n              -123.71555076750579,\n              43.946813166036065\n            ],\n            [\n              -123.29673317980877,\n              43.946813166036065\n            ],\n            [\n              -123.29673317980877,\n              44.305114347462364\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"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":907105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":907106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheidt, Nicholas","contributorId":298910,"corporation":false,"usgs":false,"family":"Scheidt","given":"Nicholas","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":907107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rothenbuecher, Carla","contributorId":340405,"corporation":false,"usgs":false,"family":"Rothenbuecher","given":"Carla","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":907108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sipher, Cory","contributorId":340406,"corporation":false,"usgs":false,"family":"Sipher","given":"Cory","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":907109,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256563,"text":"70256563 - 2024 - Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection","interactions":[],"lastModifiedDate":"2024-10-24T11:05:47.527143","indexId":"70256563","displayToPublicDate":"2024-07-26T09:23:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Little brown bats (<i>Myotis lucifugus</i>) are resistant to SARS-CoV-2 infection","title":"Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection","docAbstract":"<p><span>It has been proposed that the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus that spread through human populations as a pandemic originated in Asian bats. There is concern that infected humans could transmit the virus to native North American bats; therefore, the susceptibility of several North American bat species to the pandemic virus has been experimentally assessed. Big brown bats (</span><i>Eptesicus fuscus</i><span>) were shown to be resistant to infection by SARS-CoV-2, whereas Mexican free-tailed bats (</span><i>Tadarida brasiliensis</i><span>) became infected and orally excreted moderate amounts of virus for up to 18 d postinoculation. Little brown bats (</span><i>Myotis lucifugus</i><span>) frequently contact humans, and their populations are threatened over much of their range due to white-nose syndrome, a fungal disease that is continuing to spread across North America. We experimentally challenged little brown bats with SARS-CoV-2 to determine their susceptibility and host potential and whether the virus presents an additional risk to this species. We found that this species was resistant to infection by SARS-CoV-2. These findings provide reassurance to wildlife rehabilitators, biologists, conservation scientists, and the public at large who are concerned with possible transmission of this virus to threatened bat populations.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-23-00114","usgsCitation":"Hall, J.S., Nashold, S., Hofmeister, E.K., Leon, A.E., Falendysz, E., Ip, H., Malave, C.M., Rocke, T.E., Carossino, M., Balasuriya, U.B., and Knowles, S., 2024, Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection: Journal of Wildlife Diseases, v. 60, no. 4, p. 924-930, https://doi.org/10.7589/JWD-D-23-00114.","productDescription":"7 p.","startPage":"924","endPage":"930","ipdsId":"IP-154474","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":432027,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nashold, Sean 0000-0002-8869-6633","orcid":"https://orcid.org/0000-0002-8869-6633","contributorId":341157,"corporation":false,"usgs":false,"family":"Nashold","given":"Sean","affiliations":[{"id":56047,"text":"USGS National Wildlife Health Center","active":true,"usgs":false}],"preferred":false,"id":908013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofmeister, Erik K. 0000-0002-2305-519X ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-2305-519X","contributorId":269350,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leon, Ariel Elizabeth 0000-0001-9246-4619","orcid":"https://orcid.org/0000-0001-9246-4619","contributorId":247573,"corporation":false,"usgs":true,"family":"Leon","given":"Ariel","email":"","middleInitial":"Elizabeth","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falendysz, Elizabeth 0000-0003-2895-8918 efalendysz@usgs.gov","orcid":"https://orcid.org/0000-0003-2895-8918","contributorId":127751,"corporation":false,"usgs":true,"family":"Falendysz","given":"Elizabeth","email":"efalendysz@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908016,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Malave, Carly M. 0000-0001-6673-737X","orcid":"https://orcid.org/0000-0001-6673-737X","contributorId":341158,"corporation":false,"usgs":false,"family":"Malave","given":"Carly","email":"","middleInitial":"M.","affiliations":[{"id":56047,"text":"USGS National Wildlife Health Center","active":true,"usgs":false}],"preferred":false,"id":908018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908019,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carossino, Mariano","contributorId":245857,"corporation":false,"usgs":false,"family":"Carossino","given":"Mariano","email":"","affiliations":[],"preferred":false,"id":908020,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Balasuriya, Udeni B.R.","contributorId":245862,"corporation":false,"usgs":false,"family":"Balasuriya","given":"Udeni","email":"","middleInitial":"B.R.","affiliations":[],"preferred":false,"id":908021,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908022,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70268348,"text":"70268348 - 2024 - Disturbance amplifies sensitivity of dryland productivity to precipitation variability","interactions":[],"lastModifiedDate":"2025-06-23T14:24:38.283187","indexId":"70268348","displayToPublicDate":"2024-07-26T09:22:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Disturbance amplifies sensitivity of dryland productivity to precipitation variability","docAbstract":"<p><span>Variability of the terrestrial global carbon sink is largely determined by the response of dryland productivity to annual precipitation. Despite extensive disturbance in drylands, how disturbance alters productivity-precipitation relationships remains poorly understood. Using remote-sensing to pair more than 5600 km of natural gas pipeline corridors with neighboring undisturbed areas in North American drylands, we found that disturbance reduced average annual production 6 to 29% and caused up to a fivefold increase in the sensitivity of net primary productivity (NPP) to interannual variation in precipitation. Disturbance impacts were larger and longer-lasting at locations with higher precipitation (&gt;450 mm mean annual precipitation). Disturbance effects on NPP dynamics were mostly explained by shifts from woody to herbaceous vegetation. Severe disturbance will amplify effects of increasing precipitation variability on NPP in drylands.</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adm9732","usgsCitation":"Terry, T., Sala, O.E., Ferrenberg, S., Reed, S., Osborne, B., Jordan, S., Lee, S.R., and Adler, P., 2024, Disturbance amplifies sensitivity of dryland productivity to precipitation variability: Science Advances, v. 10, no. 30, eadm9732, 7 p., https://doi.org/10.1126/sciadv.adm9732.","productDescription":"eadm9732, 7 p.","ipdsId":"IP-161961","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adm9732","text":"Publisher Index Page"},{"id":491098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"30","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Tyson J.","contributorId":357248,"corporation":false,"usgs":false,"family":"Terry","given":"Tyson J.","affiliations":[{"id":85366,"text":"Department of Wildland Resources and the Ecology Center, Utah State University; Logan, 84322, USA","active":true,"usgs":false}],"preferred":false,"id":940897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sala, Osvaldo E.","contributorId":139047,"corporation":false,"usgs":false,"family":"Sala","given":"Osvaldo","email":"","middleInitial":"E.","affiliations":[{"id":12629,"text":"Arizona State University, Tempe, AZ  (DETAIL TO BE ADDED)","active":true,"usgs":false}],"preferred":false,"id":940898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrenberg, Scott","contributorId":217143,"corporation":false,"usgs":false,"family":"Ferrenberg","given":"Scott","affiliations":[{"id":39569,"text":"Department of Biology, New Mexico State University, Las Cruces, NM 88001, USA","active":true,"usgs":false}],"preferred":false,"id":940899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":207498,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":940900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osborne, Brooke B.","contributorId":150739,"corporation":false,"usgs":false,"family":"Osborne","given":"Brooke B.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":940901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordan, Samuel E. 0000-0001-6074-3330","orcid":"https://orcid.org/0000-0001-6074-3330","contributorId":228826,"corporation":false,"usgs":false,"family":"Jordan","given":"Samuel E.","affiliations":[],"preferred":false,"id":940902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, Steven R. 0000-0002-4581-3684 srlee@usgs.gov","orcid":"https://orcid.org/0000-0002-4581-3684","contributorId":5630,"corporation":false,"usgs":true,"family":"Lee","given":"Steven","email":"srlee@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":940903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adler, Peter B.","contributorId":338091,"corporation":false,"usgs":false,"family":"Adler","given":"Peter B.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":940904,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257685,"text":"70257685 - 2024 - Computational approaches improve evidence synthesis and inform broad fisheries trends","interactions":[],"lastModifiedDate":"2024-08-23T14:19:04.530247","indexId":"70257685","displayToPublicDate":"2024-07-26T09:13:10","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":"Computational approaches improve evidence synthesis and inform broad fisheries trends","docAbstract":"<p><span>Addressing ecological impacts with effective conservation actions requires information on the links between human pressures and localized responses. Understanding links is a priority for many conservation contexts, including the world's fresh waters, which face intensifying threats to disproportionately high species diversity, including more than&nbsp;half of the world's fish species. Literature synthesis can uncover links and highlight potential research gaps, yet can be very cumbersome and time consuming. Emerging tools like text mining can improve efficiency in extracting relevant information from vast scientific outputs. This study synthesizes evidence of direct anthropogenic threats to major inland fisheries and examines driver-impact-response patterns using coupled automated and manual text classification methods. We screened 9336 abstracts from 45 river basins of high importance to inland fish production; 1152 abstracts contained evidence of direct threats to fish. The most common documented drivers were pollution, dams, and fishing pressure, which were most strongly linked to decreased fitness, altered reproduction, and mortality, respectively. Strong impact-response links to pollution signal potential bias toward documenting acute threats that generate more visible and immediate impacts. The use of machine learning-based text classification performed best in classifying extraneous information. Results can inform the development of inland fisheries indicators and threat-based metrics, highlight possible evidence gaps in linking global drivers to fishery-level responses, and illustrate the application of a coupled synthesis approach for improved efficiency and extraction of information relevant to conservation outcomes. The associated user and interpretation guides address accessibility and technical barriers faced by conservation scientists to improve efficiency in evidence synthesis.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13167","usgsCitation":"Stokes, G.L., Lynch, A., Flores, J.V., Wong, J.P., Morang, C., Romulo, C., Funge-Smith, S., Valbo-Jorgensen, J., and Smidt, S.J., 2024, Computational approaches improve evidence synthesis and inform broad fisheries trends: Conservation Science and Practice, v. 6, no. 8, e13167, 17 p., https://doi.org/10.1111/csp2.13167.","productDescription":"e13167, 17 p.","ipdsId":"IP-137635","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":439249,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13167","text":"Publisher Index Page"},{"id":433095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stokes, Gretchen L. 0000-0003-4202-6527","orcid":"https://orcid.org/0000-0003-4202-6527","contributorId":245640,"corporation":false,"usgs":false,"family":"Stokes","given":"Gretchen","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":911429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flores, John V.","contributorId":343559,"corporation":false,"usgs":false,"family":"Flores","given":"John","email":"","middleInitial":"V.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wong, Jesse P.","contributorId":264850,"corporation":false,"usgs":false,"family":"Wong","given":"Jesse","email":"","middleInitial":"P.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":911427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morang, Connor","contributorId":343560,"corporation":false,"usgs":false,"family":"Morang","given":"Connor","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romulo, Chelsie 0000-0003-1612-1969","orcid":"https://orcid.org/0000-0003-1612-1969","contributorId":221032,"corporation":false,"usgs":false,"family":"Romulo","given":"Chelsie","email":"","affiliations":[],"preferred":false,"id":911430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Funge-Smith, Simon 0000-0001-9974-5333","orcid":"https://orcid.org/0000-0001-9974-5333","contributorId":245642,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":911431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valbo-Jorgensen, John 0000-0002-1992-5682","orcid":"https://orcid.org/0000-0002-1992-5682","contributorId":220485,"corporation":false,"usgs":false,"family":"Valbo-Jorgensen","given":"John","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":911432,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911433,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70257712,"text":"70257712 - 2024 - Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population","interactions":[],"lastModifiedDate":"2024-08-23T14:11:57.191191","indexId":"70257712","displayToPublicDate":"2024-07-26T09:08:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Modeling the effects of spatial distribution on dynamics of an invading <i>Melaleuca quinquenervia</i> (Cav.) Blake population","title":"Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population","docAbstract":"<p><span>To predict the potential success of an invading non-native species, it is important to understand its dynamics and interactions with native species in the early stages of its invasion. In spatially implicit models, mathematical stability criteria are commonly used to predict whether an invading population grows in number in an early time period. But spatial context is important for real invasions as an invading population may first occur as a small number of individuals scatter spatially. The invasion dynamics are therefore not describable in terms of population level state variables. A better approach is spatially explicit individual-based modeling (IBM). We use an established spatially explicit IBM to predict the invasion of the non-native tree,&nbsp;</span><i><span class=\"html-italic\">Melaleuca quinquenervia</span></i><span>&nbsp;(Cav.) Blake, to a native community in southern Florida. We show that the initial spatial distribution, both the spatial density of individuals and the area they cover, affects its success in growing numerically and spreading. The formation of a cluster of a sufficient number and density of individuals may be needed for the invader to locally outcompete the native species and become established. Different initial densities, identical in number and density but differing in random positions of individuals, can produce very different trajectories of the invading population through time, even affecting invasion success and failure.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f15081308","usgsCitation":"Lu, Y., Xia, J., Holt, R., and DeAngelis, D., 2024, Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population: Forests, v. 15, no. 8, 1308, 18 p., https://doi.org/10.3390/f15081308.","productDescription":"1308, 18 p.","ipdsId":"IP-167809","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f15081308","text":"Publisher Index Page"},{"id":433094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Yuanming","contributorId":298492,"corporation":false,"usgs":false,"family":"Lu","given":"Yuanming","email":"","affiliations":[{"id":35560,"text":"Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":911490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xia, Junfei","contributorId":298493,"corporation":false,"usgs":false,"family":"Xia","given":"Junfei","email":"","affiliations":[{"id":64593,"text":"Rosenstiel School of Marine and Atmospheric Science, University of Miami","active":true,"usgs":false}],"preferred":false,"id":911491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holt, Robert D.","contributorId":343600,"corporation":false,"usgs":false,"family":"Holt","given":"Robert D.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":217986,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":911493,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70268933,"text":"70268933 - 2024 - Experimental changes in food and ectoparasites affect dispersal timing in juvenile burrowing owls","interactions":[],"lastModifiedDate":"2025-07-11T14:24:48.999138","indexId":"70268933","displayToPublicDate":"2024-07-26T09:05:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Experimental changes in food and ectoparasites affect dispersal timing in juvenile burrowing owls","docAbstract":"<p><span>Natal dispersal is a key demographic trait that affects population dynamics, and intraspecific variation in dispersal affects gene flow among populations and source-sink dynamics. However, relatively little is known about the selective pressures and trade-offs that animals face when departing their natal area due to the logistical difficulties associated with monitoring animals during this critical life stage. We used a randomized block design to examine the selective pressure that influence dispersal timing in juvenile burrowing owls (</span><i>Athene cunicularia</i><span>) by experimentally altering both food and ectoparasites at 135 nests. We also examined the effects of local food abundance, ectoparasite loads, and parental departure on natal dispersal timing. Juvenile burrowing owls varied widely in natal dispersal timing, and phenotypic plasticity in dispersal timing was evident in juvenile owls’ response to our experimental treatments, local conditions, and their parents’ departure from the natal area. Moreover, juveniles responded differently than their parents to experimental manipulation of food and ectoparasite loads. Juveniles typically dispersed shortly after their parents departed the natal area, but delayed dispersing more than 2 weeks after parental departure if they did not receive experimental food supplements during a low-food year. In contrast, the experimental food supplements did not affect the migratory departure decisions of adult owls in either year. Juveniles at nests treated for ectoparasites initiated dispersal at a younger age (and&nbsp;</span><i>prior</i><span>&nbsp;to adults in the high-food year) compared to juveniles at control nests. In contrast, parents at nests treated for ectoparasites departed later than parents at control nests. Our results suggest that unfavorable conditions (low food or high ectoparasite loads) caused juveniles to delay dispersal, but prompted adults to depart sooner. Our results highlight the extent of intraspecific variation in natal dispersal timing, and demonstrate that ecological conditions affect dispersal decisions of parents and offspring differently, which can create important trade-offs that likely affect life history strategies and responses to climatic changes.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0306660","usgsCitation":"Garcia, V., Conway, C.J., and Nadeau, C., 2024, Experimental changes in food and ectoparasites affect dispersal timing in juvenile burrowing owls: PLoS ONE, v. 06, no. 7, e0306660, 18 p., https://doi.org/10.1371/journal.pone.0306660.","productDescription":"e0306660, 18 p.","ipdsId":"IP-124921","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0306660","text":"Publisher Index Page"},{"id":492127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Adams County, Grant County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-117.961,47.2606],[-117.9595,47.091],[-117.9599,47.0313],[-117.9583,47.0033],[-117.9596,47.0028],[-117.9624,46.9133],[-117.9704,46.9135],[-117.9736,46.8635],[-117.977,46.8636],[-117.9797,46.8627],[-117.9863,46.8615],[-117.991,46.8602],[-117.9945,46.8552],[-117.9953,46.8529],[-118.0054,46.8485],[-118.0063,46.8421],[-117.9912,46.8372],[-118.0001,46.8323],[-117.9975,46.8305],[-117.9969,46.8272],[-117.9997,46.8245],[-118.0045,46.8205],[-118.0093,46.8164],[-118.0213,46.8153],[-118.0241,46.8094],[-118.0197,46.8047],[-118.0184,46.8024],[-118.0185,46.8005],[-118.0186,46.7973],[-118.0154,46.7936],[-118.0163,46.789],[-118.0151,46.7867],[-118.0165,46.7844],[-118.0198,46.7836],[-118.0309,46.7888],[-118.0363,46.7848],[-118.0412,46.7789],[-118.042,46.7753],[-118.0447,46.773],[-118.0488,46.7713],[-118.0534,46.7713],[-118.0613,46.7733],[-118.0666,46.7729],[-118.0706,46.7716],[-118.0772,46.7731],[-118.0871,46.7738],[-118.0944,46.7739],[-118.1004,46.7735],[-118.1058,46.7713],[-118.1085,46.77],[-118.1125,46.7673],[-118.1166,46.7651],[-118.1193,46.7633],[-118.1267,46.7607],[-118.1354,46.7595],[-118.1427,46.7591],[-118.1474,46.756],[-118.1515,46.7533],[-118.1576,46.7493],[-118.163,46.7475],[-118.1683,46.7463],[-118.1802,46.746],[-118.1868,46.7475],[-118.1973,46.7509],[-118.2055,46.7432],[-118.2129,46.7406],[-118.2196,46.7393],[-118.3601,46.7365],[-118.4827,46.7356],[-118.6389,46.736],[-118.8582,46.7347],[-118.9992,46.7368],[-119.1462,46.7374],[-119.3462,46.7374],[-119.3582,46.7375],[-119.3708,46.7371],[-119.3711,46.6775],[-119.4525,46.6777],[-119.4484,46.6827],[-119.451,46.6859],[-119.4536,46.6887],[-119.4563,46.6905],[-119.4602,46.6938],[-119.4654,46.6957],[-119.4687,46.698],[-119.4733,46.7026],[-119.4759,46.7049],[-119.4818,46.7091],[-119.485,46.7128],[-119.4909,46.7169],[-119.4962,46.7202],[-119.5047,46.7244],[-119.512,46.7263],[-119.5206,46.7259],[-119.5273,46.7213],[-119.5313,46.7163],[-119.536,46.7127],[-119.538,46.7099],[-119.5421,46.7063],[-119.5468,46.7018],[-119.5501,46.6986],[-119.5541,46.6949],[-119.5628,46.6886],[-119.5722,46.6795],[-119.5796,46.6745],[-119.5863,46.6672],[-119.603,46.6572],[-119.617,46.6504],[-119.6256,46.6459],[-119.6382,46.6427],[-119.6607,46.6406],[-119.6699,46.6443],[-119.6765,46.6466],[-119.6824,46.649],[-119.6877,46.6504],[-119.6996,46.65],[-119.7036,46.6496],[-119.7096,46.6487],[-119.7235,46.646],[-119.7341,46.6433],[-119.7447,46.6392],[-119.752,46.637],[-119.7633,46.6357],[-119.7884,46.6335],[-119.8017,46.6313],[-119.8116,46.629],[-119.8229,46.6268],[-119.8308,46.6255],[-119.8401,46.625],[-119.848,46.6251],[-119.8553,46.6256],[-119.8599,46.6261],[-119.8764,46.628],[-119.885,46.6303],[-119.8949,46.6331],[-119.9021,46.6363],[-119.9047,46.6386],[-119.9126,46.6446],[-119.9146,46.6502],[-119.9158,46.6543],[-119.9238,46.6585],[-119.9284,46.6612],[-119.933,46.6645],[-119.9362,46.6677],[-119.9415,46.6718],[-119.9481,46.6792],[-119.9513,46.6852],[-119.9532,46.6902],[-119.9565,46.6953],[-119.9605,46.6999],[-119.9631,46.7026],[-119.9657,46.7077],[-119.9683,46.7123],[-119.9709,46.7173],[-119.9728,46.7219],[-119.9735,46.7288],[-119.9707,46.7371],[-119.9687,46.749],[-119.9666,46.7549],[-119.9586,46.7618],[-119.9533,46.765],[-119.9466,46.7695],[-119.9413,46.7746],[-119.9379,46.7791],[-119.9359,46.7833],[-119.9326,46.786],[-119.9299,46.7897],[-119.9279,46.7942],[-119.9272,46.7979],[-119.9278,46.8011],[-119.9251,46.8084],[-119.925,46.8144],[-119.9335,46.8278],[-119.9401,46.8333],[-119.9474,46.8384],[-119.952,46.843],[-119.9553,46.8453],[-119.9572,46.8489],[-119.9599,46.8526],[-119.9618,46.8586],[-119.9624,46.8623],[-119.9624,46.8669],[-119.9642,46.8917],[-119.9628,46.899],[-119.9627,46.9072],[-119.962,46.9183],[-119.9619,46.9293],[-119.9632,46.9343],[-119.9644,46.9431],[-119.9684,46.9481],[-119.9743,46.9573],[-119.9809,46.9633],[-119.9842,46.9688],[-119.9874,46.9762],[-119.9921,46.9799],[-119.9953,46.9836],[-120,46.9873],[-120.0033,46.9932],[-120.0065,46.9992],[-120.0059,47.0001],[-120.0045,47.0089],[-120.0044,47.019],[-120.0057,47.0268],[-120.0056,47.0327],[-120.0082,47.0378],[-120.0089,47.0378],[-120.0148,47.042],[-120.0195,47.0452],[-120.0301,47.0553],[-120.034,47.0585],[-120.0367,47.0618],[-120.038,47.0641],[-120.0399,47.071],[-120.0392,47.0756],[-120.0372,47.0797],[-120.0359,47.0838],[-120.0311,47.0934],[-120.0291,47.098],[-120.0244,47.104],[-120.0184,47.1085],[-120.0056,47.1191],[-119.9989,47.1259],[-119.9955,47.1333],[-119.9968,47.1383],[-119.9968,47.1411],[-119.9974,47.1447],[-120.0001,47.1503],[-120.006,47.1558],[-120.0052,47.1691],[-120.0055,47.2243],[-120.0057,47.29],[-120.0056,47.3042],[-120.0054,47.318],[-119.9854,47.3188],[-119.9853,47.334],[-119.9619,47.3348],[-119.9611,47.3477],[-119.9397,47.3481],[-119.9383,47.3628],[-119.9195,47.3627],[-119.9194,47.3783],[-119.9193,47.3926],[-119.8979,47.3925],[-119.8977,47.4067],[-119.877,47.4071],[-119.876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Victoria","contributorId":357819,"corporation":false,"usgs":false,"family":"Garcia","given":"Victoria","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":942658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Christopher P.","contributorId":357820,"corporation":false,"usgs":false,"family":"Nadeau","given":"Christopher P.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":942660,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257184,"text":"70257184 - 2024 - Insights on using solid bitumen reflectance as a thermal maturity proxy in the Bakken Formation, Williston Basin, USA","interactions":[],"lastModifiedDate":"2024-08-13T12:01:50.854485","indexId":"70257184","displayToPublicDate":"2024-07-26T06:55:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18329,"text":"ACS Omega","active":true,"publicationSubtype":{"id":10}},"title":"Insights on using solid bitumen reflectance as a thermal maturity proxy in the Bakken Formation, Williston Basin, USA","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">To further refine the use of solid bitumen reflectance (BR<sub>o</sub><span>&nbsp;</span>in %) as a measurement of thermal maturity in source-rock reservoirs, we examined its relationship to other thermal proxies in the Bakken Formation. Comparisons included criteria from programmed temperature pyrolysis, gas chromatography (GC), and Fourier transform infrared (FTIR) spectroscopy. Thirty-two organic-rich samples from the lower and upper shale members of the Devonian–Lower Carboniferous Bakken Formation were collected from eight cores across the Williston Basin, USA, at depths (∼7575–11,330 ft) representing immature through post peak oil/early condensate thermal maturity conditions based on proximity to current hydrocarbon production. Unmodified BR<sub>o</sub><span>&nbsp;</span>values were correlated to programmed temperature pyrolysis parameters (hydrogen index, production index, and<span>&nbsp;</span><i>T</i><sub>max</sub>), normal hydrocarbon and isoprenoid analysis of extractable organic matter (pristane/<i>n</i>-C<sub>17</sub><span>&nbsp;</span>and phytane/<i>n</i>-C<sub>18</sub>) from GC analysis, and peak ratios from FTIR spectroscopy (branching ratio and<span>&nbsp;</span><i>A</i>-factor). Strong correlations between unmodified BR<sub>o</sub><span>&nbsp;</span>values (not corrected to a vitrinite reflectance equivalent, VR<sub>e</sub>) and other thermal proxies suggest that BR<sub>o</sub><span>&nbsp;</span>can be used as a direct thermal proxy in marine Paleozoic source-rock reservoirs where vitrinite is rare or absent. Moreover, an apparent overestimation of VR<sub>e</sub><span>&nbsp;</span>at the lowest thermal maturity investigated herein may argue against the application of BR<sub>o</sub><span>&nbsp;</span>conversion to VR<sub>e</sub><span>&nbsp;</span>in the Bakken Formation. Solvent extraction caused a consistent decrease in BR<sub>o</sub><span>&nbsp;</span>when average post-extraction values from a given well were compared to BR<sub>o</sub><span>&nbsp;</span>prior to extraction, although the decrease in mean value was not statistically significant. These results are discussed in the context of advocating for the use of unmodified BR<sub>o</sub><span>&nbsp;</span>values as a best practice for thermal maturity determination in Paleozoic marine source-rock reservoirs.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsomega.4c04547","usgsCitation":"Hackley, P.C., Scott, C., Birdwell, J.E., Nedzweckas, J., Valentine, B.J., Zhang, T., and Nesheim, T.O., 2024, Insights on using solid bitumen reflectance as a thermal maturity proxy in the Bakken Formation, Williston Basin, USA: ACS Omega, v. 9, no. 31, p. 33983-33997, https://doi.org/10.1021/acsomega.4c04547.","productDescription":"15 p.","startPage":"33983","endPage":"33997","ipdsId":"IP-157206","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":439251,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsomega.4c04547","text":"Publisher Index Page"},{"id":432591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.54898860953342,\n              48.98777401059496\n            ],\n            [\n              -107.54898860953342,\n              46.38519798835719\n            ],\n            [\n              -100.38590267203345,\n              46.38519798835719\n            ],\n            [\n              -100.38590267203345,\n              48.98777401059496\n            ],\n            [\n              -107.54898860953342,\n              48.98777401059496\n            ]\n          ]\n    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Center","active":true,"usgs":true}],"preferred":true,"id":909671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":909672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Tongwei","contributorId":225214,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","affiliations":[{"id":41078,"text":"Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":909673,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nesheim, Timothy O","contributorId":219318,"corporation":false,"usgs":false,"family":"Nesheim","given":"Timothy","email":"","middleInitial":"O","affiliations":[],"preferred":false,"id":909674,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256393,"text":"70256393 - 2024 - Reversal in estuarine sand supply driven by Holocene sea level rise: A model for sand transport in large structural estuaries, San Francisco Bay, California, USA","interactions":[],"lastModifiedDate":"2024-07-30T11:41:41.12318","indexId":"70256393","displayToPublicDate":"2024-07-26T06:39:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Reversal in estuarine sand supply driven by Holocene sea level rise: A model for sand transport in large structural estuaries, San Francisco Bay, California, USA","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><h1 id=\"screen-reader-main-title\" class=\"Head u-font-serif u-h2 u-margin-s-ver\"><span class=\"title-text\">Reversal in estuarine sand supply driven by Holocene sea level rise: A model for sand transport in large structural estuaries, San Francisco Bay, California, USA</span></h1><div id=\"banner\" class=\"Banner\"><br></div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118887","usgsCitation":"Malkowski, M., Sickmann, Z., Fregoso, T.A., McKee, L., Stockli, D., and Jaffe, B., 2024, Reversal in estuarine sand supply driven by Holocene sea level rise: A model for sand transport in large structural estuaries, San Francisco Bay, California, USA: Earth and Planetary Science Letters, v. 643, 118887, https://doi.org/10.1016/j.epsl.2024.118887.","productDescription":"118887","ipdsId":"IP-163103","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":431605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.45824180727426,\n              38.671587239937764\n            ],\n            [\n              -123.45824180727426,\n              36.970755930668005\n            ],\n            [\n              -121.30492149477439,\n              36.970755930668005\n            ],\n            [\n              -121.30492149477439,\n              38.671587239937764\n            ],\n            [\n              -123.45824180727426,\n              38.671587239937764\n            ]\n          ]\n        ],\n        \"type\": 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tfregoso@usgs.gov","orcid":"https://orcid.org/0000-0001-7802-5812","contributorId":2571,"corporation":false,"usgs":true,"family":"Fregoso","given":"Theresa","email":"tfregoso@usgs.gov","middleInitial":"A.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":907225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKee, Lester","contributorId":205882,"corporation":false,"usgs":false,"family":"McKee","given":"Lester","email":"","affiliations":[{"id":37186,"text":"SFEI","active":true,"usgs":false}],"preferred":false,"id":907226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stockli, D.","contributorId":340462,"corporation":false,"usgs":false,"family":"Stockli","given":"D.","email":"","affiliations":[{"id":81613,"text":"Department of Earth and Planetary Sciences, University of Texas at Austin, USA","active":true,"usgs":false}],"preferred":false,"id":907227,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":335664,"corporation":false,"usgs":false,"family":"Jaffe","given":"Bruce E.","affiliations":[{"id":80462,"text":"former USGS PCMSC employee","active":true,"usgs":false}],"preferred":false,"id":907228,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256568,"text":"70256568 - 2024 - Discordance between taxonomy and population genomic data: An avian example relevant to the United States Endangered Species Act","interactions":[],"lastModifiedDate":"2024-08-22T16:24:06.031232","indexId":"70256568","displayToPublicDate":"2024-07-25T11:16:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10942,"text":"PNAS Nexus","active":true,"publicationSubtype":{"id":10}},"title":"Discordance between taxonomy and population genomic data: An avian example relevant to the United States Endangered Species Act","docAbstract":"<p><span>Population genomics can reveal cryptic biological diversity that may impact fitness while simultaneously serving to delineate relevant conservation units. Here, we leverage the power of whole-genome resequencing for conservation by studying 433 individual lesser prairie-chicken (</span><i>Tympanuchus pallidicinctus</i><span>; LEPC, a federally endangered species of conservation concern in the United States) and greater prairie-chicken (</span><i>Tympanuchus cupido</i><span>; GRPC, a legally huntable species throughout much of its range). The genomic diversity of two formally recognized distinct population segments (DPSs) of LEPCs is similar, but they are genetically distinct. Neither DPS is depleted of its genomic diversity, neither is especially inbred, and temporal diversity is relatively stable in both conservation units. Interspecific differentiation between the two species was only slightly higher than that observed between LEPC DPSs, due largely to bidirectional introgression. The high resolution provided by our dataset identified a genomic continuum between the two species such that individuals sampled from the hybrid zone were imperfectly assigned to their presumptive species when considering only their physical characteristics. The admixture between the two species is reflected in the spectrum of individual ancestry coefficients, which has legal implications for the “take” of individuals under the Endangered Species Act. Overall, our data highlight the recurring dissonance between static policies and dynamic species boundaries that are increasingly obvious in the population genomic era.</span></p>","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1093/pnasnexus/pgae298","usgsCitation":"Black, A.N., Mularo, A.J., Jeon, J.Y., Haukos, D.A., Bondo, K.J., Fricke, K., Gregory, A., Grisham, B., Lowe, Z.E., and DeWoody, J.A., 2024, Discordance between taxonomy and population genomic data: An avian example relevant to the United States Endangered Species Act: PNAS Nexus, v. 3, no. 8, pgae298, 9 p., https://doi.org/10.1093/pnasnexus/pgae298.","productDescription":"pgae298, 9 p.","ipdsId":"IP-157565","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/pnasnexus/pgae298","text":"Publisher Index Page"},{"id":433070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, Couth Dakota, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.40084316266383,\n              33.70795884444438\n            ],\n            [\n              -105.31992301296135,\n              30.818291062734204\n            ],\n            [\n              -103.38777768631532,\n              29.724848440149472\n            ],\n            [\n              -98.99639598871063,\n              33.79022627808453\n            ],\n            [\n              -95.82383003901437,\n              37.069825104547206\n            ],\n            [\n              -97.49448155164828,\n              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J.","contributorId":341178,"corporation":false,"usgs":false,"family":"Mularo","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeon, Jong Yoon","contributorId":341179,"corporation":false,"usgs":false,"family":"Jeon","given":"Jong","email":"","middleInitial":"Yoon","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bondo, Kristin J.","contributorId":341180,"corporation":false,"usgs":false,"family":"Bondo","given":"Kristin","email":"","middleInitial":"J.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fricke, Kent A.","contributorId":341181,"corporation":false,"usgs":false,"family":"Fricke","given":"Kent A.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":908051,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gregory, Andy","contributorId":341182,"corporation":false,"usgs":false,"family":"Gregory","given":"Andy","email":"","affiliations":[{"id":81711,"text":"niversity of North Texas","active":true,"usgs":false}],"preferred":false,"id":908052,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grisham, Blake","contributorId":341183,"corporation":false,"usgs":false,"family":"Grisham","given":"Blake","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908053,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lowe, Zachary E.","contributorId":341184,"corporation":false,"usgs":false,"family":"Lowe","given":"Zachary","email":"","middleInitial":"E.","affiliations":[{"id":36225,"text":"Western Association of Fish and Wildlife Agencies","active":true,"usgs":false}],"preferred":false,"id":908054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DeWoody, J. Andrew","contributorId":341185,"corporation":false,"usgs":false,"family":"DeWoody","given":"J.","email":"","middleInitial":"Andrew","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908055,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70256158,"text":"70256158 - 2024 - Aftershock forecasting","interactions":[],"lastModifiedDate":"2024-07-25T16:04:14.684778","indexId":"70256158","displayToPublicDate":"2024-07-25T10:51:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Aftershock forecasting","docAbstract":"Aftershocks can compound the impacts of a major earthquake, disrupting recovery efforts and potentially further damaging weakened buildings and infrastructure.  Forecasts of the probability of aftershocks can therefore aid decision-making during earthquake response and recovery.  Several countries issue authoritative aftershock forecasts.  Most aftershock forecasts are based on simple statistical models that were first developed in the 1980s and remain the best available models.  We review these statistical models, and the wide-ranging research to advance aftershock forecasting through better statistical, physical, and machine learning methods.  Physics-based forecasts based on mainshock stress changes can sometimes match the statistical models in testing, but don’t yet outperform them.  Physical models are also hampered by unsolved problems such as the mechanics of dynamic triggering and the influence of background conditions.  Initial work on machine learning forecasts shows promise, and new machine learning earthquake catalogs provide an opportunity to advance all types of aftershock forecasts.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-040522-102129","usgsCitation":"Hardebeck, J.L., Llenos, A.L., Michael, A.J., Page, M.T., Schneider, M., and van der Elst, N., 2024, Aftershock forecasting: Annual Review of Earth and Planetary Sciences, v. 52, p. 61-84, https://doi.org/10.1146/annurev-earth-040522-102129.","productDescription":"24 p.","startPage":"61","endPage":"84","ipdsId":"IP-153834","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":489836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-earth-040522-102129","text":"Publisher Index Page"},{"id":431446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":906944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":906947,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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