{"pageNumber":"6","pageRowStart":"125","pageSize":"25","recordCount":10447,"records":[{"id":70268880,"text":"70268880 - 2025 - Comparing year-class strength indices from longitudinal analysis of catch-at-age data with those from catch-curve regression: Application to Lake Huron lake trout","interactions":[],"lastModifiedDate":"2025-07-09T15:22:32.22606","indexId":"70268880","displayToPublicDate":"2025-07-07T08:17:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6476,"text":"Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Comparing year-class strength indices from longitudinal analysis of catch-at-age data with those from catch-curve regression: Application to Lake Huron lake trout","docAbstract":"Fish year-class strength (YCS) has been estimated via longitudinal analysis of catch-at-age data and via catch-curve regression, but no study has compared the two approaches.  The objective of this study was to compare YCS estimates derived from both approaches applied to catch-at-age data for the lake trout (Salvelinus namaycush) population in the main basin of Lake Huron, one of the Laurentian Great Lakes of North America.  YCS was reconstructed for both hatchery-stocked and wild lake trout.  Akaike information criterion (AIC) and Bayesian information criterion (BIC) were used to compare 14 linear mixed-effects models for longitudinal analysis of catch-at-age data, and three linear mixed-effects models for catch-curve regression.  From the best models based on AIC or BIC comparisons, YCS estimates with year-class as a fixed effect were consistent with those estimated with year-class as a random effect.  Patterns and trends in the YCS estimates were also the same or similar between the longitudinal analysis of catch-at-age data approach and the catch-curve regression approach, suggesting that both modeling approaches are applicable to a variety of fish populations. indicating that both approaches provide robust measures of YCS.  Potential bias in using the approach of catch-curve regression could be caused by abrupt changes in adult mortality.  It is also critical to recognize multiple recruitment origins for using the approach of longitudinal analysis of catch-at-age data.","language":"English","publisher":"MDPI","doi":"10.3390/fishes10070332","usgsCitation":"He, J.X., and Madenjian, C.P., 2025, Comparing year-class strength indices from longitudinal analysis of catch-at-age data with those from catch-curve regression: Application to Lake Huron lake trout: Fishes, v. 10, no. 7, 332, 15 p., https://doi.org/10.3390/fishes10070332.","productDescription":"332, 15 p.","ipdsId":"IP-180112","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes10070332","text":"Publisher Index Page"},{"id":491902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.81244272435032,\n              46.219483545610046\n            ],\n            [\n              -84.45502123393308,\n              45.72128532835587\n            ],\n            [\n              -83.53367997338103,\n              45.26517590645393\n            ],\n            [\n              -83.41430066653513,\n              44.44170419606339\n            ],\n            [\n              -84.10774211212554,\n              43.61709237133303\n            ],\n            [\n              -83.62831234986241,\n              43.568154757819165\n            ],\n            [\n              -82.8360145811905,\n              44.05230260646631\n            ],\n            [\n              -82.51388267584665,\n              43.01830574568019\n            ],\n            [\n              -81.70146487579785,\n              43.13447283374384\n            ],\n            [\n              -81.19143655270658,\n              44.558403858438155\n            ],\n            [\n              -81.968013163843,\n              45.696943546171696\n            ],\n            [\n              -84.81244272435032,\n              46.219483545610046\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Ji X.","contributorId":181528,"corporation":false,"usgs":false,"family":"He","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":942466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":942467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268872,"text":"70268872 - 2025 - Disease-driven collapse of the native Kauaʻi avifauna and the rise of introduced bird species","interactions":[],"lastModifiedDate":"2025-07-09T15:23:24.011957","indexId":"70268872","displayToPublicDate":"2025-07-05T10:18:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Disease-driven collapse of the native Kauaʻi avifauna and the rise of introduced bird species","docAbstract":"<p><span>Hawaii hosts one of Earth’s most unique and threatened avifaunas. Upslope migration of mosquito-vectored avian malaria on Kauaʻi (maximum elevation 1,598&nbsp;m) has likely caused its rapid loss of avifaunal diversity; only 8 of 13 historic forest bird species remain. We update the status and trends of Kauaʻi forest bird populations since the original (1981) surveys using the latest (2023) survey data and distance sampling. We fit detection functions to species-specific count data and stratified estimates across the Interior (since 1981) and Exterior (since 2000) survey areas, and between low (900–1,100&nbsp;m), medium (1,100–1,300&nbsp;m) and high (&gt; 1,300&nbsp;m) elevation bands (since 2000). Log-linear trends of ʻakekeʻe (</span><i>Loxops caeruleirostris</i><span>), ʻanianiau (</span><i>Magumma parva</i><span>), ʻiʻiwi (</span><i>Drepanis coccinea</i><span>), and Kauaʻi ʻamakihi (</span><i>Chlorodrepanis stejnegeri</i><span>) steeply declined across the timeseries, with extinction of ʻakekeʻe and ʻiʻiwi expected before 2050. Undetected in 2023, ʻakikiki (</span><i>Oreomystis bairdi</i><span>) were excluded from analysis. ʻApapane (</span><i>Himatione sanguinea</i><span>), Kauaʻi ʻelepaio (</span><i>Chasiempis sclateri</i><span>), Chinese hwamei (</span><i>Garrulax canorus</i><span>), and white-rumped shama (</span><i>Copsychus malabaricus</i><span>) were stable overall. Northern cardinal (</span><i>Cardinalis cardinalis</i><span>) steadily declined, whereas Japanese bush warbler (</span><i>Horornis diphone</i><span>) and warbling white-eye (</span><i>Zosterops japonicus</i><span>) exponentially increased. Taxonomic and functional diversity did not vary greatly across our timeseries, while the proportion of introduced species in the Exterior increased from 34 to 59%. However, introduced species do not replace the losses of ecological functions from native species, whose populations are likely declining from avian malaria. Future monitoring can be used to evaluate forest bird population responses to mosquito suppression using the Incompatible Insect Technique.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10531-025-03111-z","usgsCitation":"Hunt, N., Crampton, L.H., Winter, T., Alexander, J., Glib, R., and Camp, R.J., 2025, Disease-driven collapse of the native Kauaʻi avifauna and the rise of introduced bird species: Biodiversity and Conservation, https://doi.org/10.1007/s10531-025-03111-z.","ipdsId":"IP-174147","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":492086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10531-025-03111-z","text":"Publisher Index Page"},{"id":491903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaua'i","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -159.71699717610605,\n              22.227931797804146\n            ],\n            [\n              -159.71699717610605,\n              22.046986423712184\n            ],\n            [\n              -159.4442920844603,\n              22.046986423712184\n            ],\n            [\n              -159.4442920844603,\n              22.227931797804146\n            ],\n            [\n              -159.71699717610605,\n              22.227931797804146\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah J. 0009-0008-9859-7007","orcid":"https://orcid.org/0009-0008-9859-7007","contributorId":357746,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah J.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":942446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crampton, Lisa H.","contributorId":192559,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":942447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winter, Tyler A","contributorId":357748,"corporation":false,"usgs":false,"family":"Winter","given":"Tyler A","affiliations":[{"id":85549,"text":"Pacific Cooperative Studies Unit, University of Hawai’i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":942448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Jack D","contributorId":357749,"corporation":false,"usgs":false,"family":"Alexander","given":"Jack D","affiliations":[{"id":85549,"text":"Pacific Cooperative Studies Unit, University of Hawai’i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":942449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glib, Roy","contributorId":357750,"corporation":false,"usgs":false,"family":"Glib","given":"Roy","affiliations":[{"id":27518,"text":"Colorado Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":942450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":942451,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274495,"text":"70274495 - 2025 - AviList: A unified global bird checklist","interactions":[],"lastModifiedDate":"2026-03-27T16:05:19.722523","indexId":"70274495","displayToPublicDate":"2025-07-05T08:49:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"AviList: A unified global bird checklist","docAbstract":"Universally recognized scientific names for organisms are necessary for accurate and efficient communication. Incongruence in taxonomic treatments results in situations where one name is used for different entities or one entity is known by different names, with negative consequences for conservation, science, trade, legislation, law enforcement, and education, leading to discord among stakeholders and confusion among users. Within the ornithological community taxonomic incongruence among four widely adopted global bird checklists has led to calls for the development of a single unified global avian taxonomy or checklist. Here we introduce AviList, a comprehensive, collaborative and evolving effort towards developing a unified global avian taxonomy, spearheaded by representatives of most current global checklists and many major regional authorities, and supported by the International Ornithologists’ Union (IOU), BirdLife International and the Cornell Lab of Ornithology. AviList version 2025, the first version, was officially launched on 11 June 2025 and is available online as a comprehensive, searchable public-access database. It recognizes 11,131 bird species in 2376 genera, 252 families and 46 orders. This global effort has resolved over 1000 species-level taxonomic incongruences among existing checklists. With AviList’s launch, the IOC World Bird List and the Clements Checklist of Birds of the World have ceased any independent taxonomic updates, while BirdLife International is in the process of total alignment, leading to a harmonization in the classification underpinning a number of major bird projects, including eBird, Macaulay Library, Merlin Bird ID and the IUCN Red List. Adoption of AviList will improve inter-operability across global biodiversity, molecular, ecological and spatial databases (e.g. GBIF). Strong governance of AviList will ensure it is a “living” document that is regularly updated by a global community of bird taxonomists as new scientific advances are made, with positive impacts for conservation, academia and human society. It is hoped that AviList will support and encourage taxonomic science by identifying areas where further research is most needed, and that it will provide a blueprint for taxonomic authorities in other organismic groups endeavoring to achieve taxonomic harmonization.","language":"English","publisher":"Springer Nature","doi":"10.1007/s10531-025-03120-y","usgsCitation":"Rheindt, F.E., Donald, P.F., Donsker, D.B., Gerbracht, J.A., Iliff, M.J., Lepage, D., Norman, J.A., Rasmussen, P.C., Schodde, R., Schulenberg, T.S., Areta, J.I., Brammer, F.B., Chesser, R., Dowsett, R.J., Peterson, A., Alström, P., Stervander, M., Remsen, J., Garnett, S.T., Homberger, D.G., Lei, F., and Christidis, L., 2025, AviList: A unified global bird checklist: Biodiversity and Conservation, v. 34, p. 3359-3376, https://doi.org/10.1007/s10531-025-03120-y.","productDescription":"18 p.","startPage":"3359","endPage":"3376","ipdsId":"IP-180319","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502041,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/biosci_pubs/5078","text":"External Repository"},{"id":501716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","noUsgsAuthors":false,"publicationDate":"2025-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rheindt, Frank E.","contributorId":368856,"corporation":false,"usgs":false,"family":"Rheindt","given":"Frank","middleInitial":"E.","affiliations":[{"id":64287,"text":"National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":957984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donald, Paul F.","contributorId":368857,"corporation":false,"usgs":false,"family":"Donald","given":"Paul","middleInitial":"F.","affiliations":[{"id":87657,"text":"BirdLife International; University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":957985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donsker, David B.","contributorId":368858,"corporation":false,"usgs":false,"family":"Donsker","given":"David","middleInitial":"B.","affiliations":[{"id":87658,"text":"IOC World Bird List","active":true,"usgs":false}],"preferred":false,"id":957986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerbracht, Jeffrey A.","contributorId":368859,"corporation":false,"usgs":false,"family":"Gerbracht","given":"Jeffrey","middleInitial":"A.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":957987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iliff, Marshall J.","contributorId":368860,"corporation":false,"usgs":false,"family":"Iliff","given":"Marshall","middleInitial":"J.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":957988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lepage, Denis","contributorId":368861,"corporation":false,"usgs":false,"family":"Lepage","given":"Denis","affiliations":[{"id":87659,"text":"Birds Canada, Port Rowan, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":957989,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Norman, Janette A.","contributorId":368862,"corporation":false,"usgs":false,"family":"Norman","given":"Janette","middleInitial":"A.","affiliations":[{"id":40535,"text":"Southern Cross University","active":true,"usgs":false}],"preferred":false,"id":957990,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rasmussen, Pamela C.","contributorId":360724,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Pamela","middleInitial":"C.","affiliations":[{"id":35930,"text":"Cornell Laboratory of Ornithology","active":true,"usgs":false}],"preferred":false,"id":957991,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schodde, Richard","contributorId":200606,"corporation":false,"usgs":false,"family":"Schodde","given":"Richard","email":"","affiliations":[],"preferred":false,"id":957992,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schulenberg, Thomas S.","contributorId":368864,"corporation":false,"usgs":false,"family":"Schulenberg","given":"Thomas","middleInitial":"S.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":957993,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Areta, Juan I.","contributorId":368865,"corporation":false,"usgs":false,"family":"Areta","given":"Juan","middleInitial":"I.","affiliations":[{"id":87661,"text":"Instituto de Bio y Geociencias del Noroeste Argentino","active":true,"usgs":false}],"preferred":false,"id":957994,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brammer, Frederik B.","contributorId":368866,"corporation":false,"usgs":false,"family":"Brammer","given":"Frederik","middleInitial":"B.","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":957995,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chesser, R. Terry 0000-0003-4389-7092","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":87669,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957996,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dowsett, Robert J.","contributorId":260300,"corporation":false,"usgs":false,"family":"Dowsett","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":52559,"text":"Le Pouget, 30440 Sumène, France","active":true,"usgs":false}],"preferred":false,"id":957997,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Peterson, Alan","contributorId":368868,"corporation":false,"usgs":false,"family":"Peterson","given":"Alan","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":957998,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Alström, Per","contributorId":368869,"corporation":false,"usgs":false,"family":"Alström","given":"Per","affiliations":[{"id":87663,"text":"Uppsala University; Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":957999,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stervander, Martin","contributorId":368870,"corporation":false,"usgs":false,"family":"Stervander","given":"Martin","affiliations":[{"id":49893,"text":"National Museums Scotland","active":true,"usgs":false}],"preferred":false,"id":958000,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Remsen, J.V. Jr.","contributorId":344118,"corporation":false,"usgs":false,"family":"Remsen","given":"J.V.","suffix":"Jr.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":958001,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Garnett, Stephen T.","contributorId":368871,"corporation":false,"usgs":false,"family":"Garnett","given":"Stephen","middleInitial":"T.","affiliations":[{"id":12877,"text":"Charles Darwin University","active":true,"usgs":false}],"preferred":false,"id":958002,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Homberger, Domnique G.","contributorId":368872,"corporation":false,"usgs":false,"family":"Homberger","given":"Domnique","middleInitial":"G.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":958003,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Lei, Fumin","contributorId":368873,"corporation":false,"usgs":false,"family":"Lei","given":"Fumin","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":958004,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Christidis, Les","contributorId":368874,"corporation":false,"usgs":false,"family":"Christidis","given":"Les","affiliations":[{"id":40535,"text":"Southern Cross University","active":true,"usgs":false}],"preferred":false,"id":958005,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70268864,"text":"70268864 - 2025 - Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning","interactions":[],"lastModifiedDate":"2025-07-09T15:32:38.339545","indexId":"70268864","displayToPublicDate":"2025-07-04T10:24:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Information on reproductive success is crucial to understanding population dynamics but can be difficult to obtain, particularly for species that birth while denning. For grizzly (<i>Ursus arctos</i>) and polar bears (<i>U. maritimus</i>), den visits are impractical because of safety and logistical considerations. Reproduction is typically documented through direct observation, which can be difficult, costly, and often occurs long after den departure. Reproduction could be documented remotely, however, from post-denning movement data if discernable differences exist between females with and without cubs.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We trained support vector machines (SVMs) with eight variables derived from telemetry data of female grizzly (2000–2022) and polar bears (1985–2016) with or without cubs during seven periods with lengths ranging from 5 to 60 days starting at den departure. We assessed SVM classification accuracy by withholding two samples (one cub-present, one cub-absent), training SVMs with the remaining data, predicting classification of the withheld samples, and repeating this process for each sample combination. Additionally, we evaluated how classification accuracy for grizzly bears was influenced by sample size, length of the post-departure period, and frequency of standardized location estimates.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Accuracy of predicting cub presence or absence was 87% for grizzly bears with only 5 days of post-departure data and increased to a maximum of 92% with 20 days of data. For polar bears, accuracy was 86% at 5 days post-departure and increased to a maximum of 93% at 50 days. Classification accuracy for grizzly bears increased from 76 to 90% when sample size increased from 10 to 30 bears while holding period length constant (30 days) but did not increase at larger sample sizes. When sample size was held constant, increasing the length of the post-departure period did not affect classification accuracy markedly.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusion</h3><p>Presence or absence of grizzly and polar bear cubs can be identified with high accuracy even when SVM models are trained with limited data. Detecting cub presence or absence remotely could improve estimates of reproductive success and litter survival, enhancing our understanding of factors affecting cub recruitment.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-025-00577-y","usgsCitation":"Andersen, E., Clapp, J., Vinks, M., Atwood, T.C., Bjornlie, D., Costello, C., Gustine, D., Haroldson, M.A., Roberts, L.L., Rode, K.D., van Manen, F.T., and Wilson, R.H., 2025, Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning: Movement Ecology, v. 13, 48, 13 p., https://doi.org/10.1186/s40462-025-00577-y.","productDescription":"48, 13 p.","ipdsId":"IP-171094","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":492088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-025-00577-y","text":"Publisher Index Page"},{"id":491905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Idaho, Montana, Wyoming","otherGeospatial":"Beaufort Sea, Chukchi Sea, Greater Yellowstone ecosystem, NNorthern Continental Dive ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -141,\n              73.91812751603453\n            ],\n            [\n              -171.42839039022866,\n              73.91812751603453\n            ],\n            [\n              -171.42839039022866,\n              63.27142168201223\n            ],\n            [\n              -141,\n              63.27142168201223\n            ],\n            [\n              -141,\n      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krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":942425,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":942426,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":942427,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70270676,"text":"70270676 - 2025 - Expansion of aquatic and marsh area into once forest and agricultural area reflects changing hydrological conditions along the Upper Mississippi and Illinois rivers (1989-2020)","interactions":[],"lastModifiedDate":"2025-08-22T14:58:35.451643","indexId":"70270676","displayToPublicDate":"2025-07-02T07:52:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Expansion of aquatic and marsh area into once forest and agricultural area reflects changing hydrological conditions along the Upper Mississippi and Illinois rivers (1989-2020)","docAbstract":"<p><span>We examined 30-year trends in the abundance and distribution of aquatic and floodplain vegetation, as well as human land uses in five study reaches of the Upper Mississippi River and one reach of the Illinois River using aerial photography collected in years 1989, 2000, 2010, and 2020. Permanently inundated area increased in all study reaches over the 30-year period. Increases ranged from 0.8% of study reach area in Pool 8 (73 ha) to as much as 6.5% of study reach area in Pool 13 (1,562 ha). Agricultural land use declined in the three study reaches where it was common (&gt;35% of reach area). Agricultural declines ranged from 5.8% of reach area in Pool 26 (2,096 ha) to as much as 15.4% of reach area in the Open River reach (7,121 ha) and corresponded with a similar magnitude increase in permanently inundated area and semi-permanently inundated marsh classes. Total forest area declined in the four northern study reaches of the Upper Mississippi River. Forest loss estimates were on the order of 3.7% of study reach area in Pool 13 (905 ha), 2.1% of Pool 8 (364 ha), and 2.3% of Pool 4 (563 ha). Such losses represent 16.2%, 13.2%, and 10.9% of the total forest area in 1989 in Pools 13, 8 and 4, respectively. Permanently inundated area, wet meadow, shallow marsh vegetation, and mud were the main cover types that replaced forest cover in these reaches. In contrast to the decline in forest cover in the northern reaches, forest cover remained unchanged in the La Grange reach of the Illinois River and increased by 3.5% of study reach area (1,607 ha) in the southern Open River reach of the Mississippi River, mainly in former marsh vegetation and agricultural areas that were acquired by Federal and State agencies. The predominant changes observed across the study system (replacement of agriculture and forest area by permanently inundated area and semi-permanently inundated marsh classes) indicates that hydrological changes have been the main driver of change since 1989 throughout most of the Upper Mississippi and Illinois Rivers. Our study provides an example of changes in a regulated river system driven by regional-scale hydrological changes and local scale restoration actions, changes that could be compared against changes occurring in other large, regulated rivers across the globe.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14185-1","usgsCitation":"De Jager, N.R., and Rohweder, J.J., 2025, Expansion of aquatic and marsh area into once forest and agricultural area reflects changing hydrological conditions along the Upper Mississippi and Illinois rivers (1989-2020): Environmental Monitoring and Assessment, v. 197, 842, 20 p., https://doi.org/10.1007/s10661-025-14185-1.","productDescription":"842, 20 p.","ipdsId":"IP-170179","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":494518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisonsin","otherGeospatial":"Illinois River, Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.47033368549535,\n              45.06494692895831\n            ],\n            [\n              -91.03762213168787,\n              41.802781990612445\n            ],\n            [\n              -91.78448001625273,\n              39.567901677188814\n            ],\n            [\n              -91.08461221362812,\n              39.174838868970895\n            ],\n            [\n              -90.67917447922278,\n              39.11778055382109\n            ],\n            [\n              -89.16995599770802,\n              41.29643131364776\n            ],\n            [\n              -89.6835242575309,\n              41.8482923449634\n            ],\n            [\n              -91.43075209513108,\n              45.01362944893481\n            ],\n            [\n              -93.47033368549535,\n              45.06494692895831\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"197","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":946810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":946811,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273997,"text":"70273997 - 2025 - Estimated annual abundance of migratory Peale's Peregrine Falcons in coastal Washington, USA","interactions":[],"lastModifiedDate":"2026-02-23T17:13:35.656742","indexId":"70273997","displayToPublicDate":"2025-07-01T11:06:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimated annual abundance of migratory Peale's Peregrine Falcons in coastal Washington, USA","docAbstract":"<p><span>Following the recovery of Peregrine Falcons (</span><i>Falco peregrinus</i><span>), the US Fish and Wildlife Service began a process to allow “take” (capture) of wild peregrines for falconry in the United States. Recently, that effort involved generating updated estimates of the collective abundance of the three North American peregrine subspecies:&nbsp;</span><i>F. p. anatum</i><span>,&nbsp;</span><i>F. p. tundrius</i><span>, and&nbsp;</span><i>F. p. pealei</i><span>&nbsp;(Peale's Peregrine Falcon). Because of the more limited distribution of&nbsp;</span><i>F. p. pealei</i><span>, we conducted an analysis specific to its geographic range. We analyzed data from a long-term banding and resighting program on three beaches on the southern coast of Washington, USA, to estimate the annual abundance of migrating and overwintering&nbsp;</span><i>F. p. pealei</i><span>, using the capture histories of 250 Peregrine Falcons, nearly all of which were captured during 1277 vehicle surveys between 1995 and 2024. Because we studied an open population of migratory individuals, we used a zero-inflated Poisson log-normal mark-resight model to estimate annual abundance. For the analyses, we partitioned our survey data into sighting periods, each of which extended from 1 September of one year to 31 May of the next. We anticipated that first-year&nbsp;</span><i>F. p. pealei</i><span>&nbsp;would be identified for falconry take, and our annual abundance estimates for first-year birds of this subspecies ranged from a high of 24.8 ± 6.1 (SE) individuals in the 2014–2015 sighting period to a low of 1.9 ± 1.4 individuals in the 2023–2024 sighting period. Peregrine Falcon abundance varied annually and appeared to decline during the last two sighting periods. Our sighting rate of marked peregrines was negatively associated with Bald Eagle (</span><i>Haliaeetus leucocephalus</i><span>) encounter rate. There was a lesser relationship to human activity, and we suspect the change in sighting rate was a behavioral response by Peregrine Falcons to the threat of kleptoparasitism by Bald Eagles. We currently lack comprehensive information about the natal origin of the individual peregrines in our study area, which prevented us from assessing the degree to which falconry take from the pool of falcons migrating to or through Washington might potentially impact local or regional abundances. Although a better understanding of natal origins is needed, our data add clarity to the migration and overwinter abundance of&nbsp;</span><i>F. p. pealei</i><span>&nbsp;on the Washington coast and may inform decisions about the take of this subspecies for falconry.</span></p>","language":"English","publisher":"BioOne","doi":"10.3356/jrr2482","usgsCitation":"Daniel E. Varland, Joseph B. Buchanan, Guthrie S. Zimmerman, Bauder, J.M., Tracy L. Fleming, Brian A. Millsap, 2025, Estimated annual abundance of migratory Peale's Peregrine Falcons in coastal Washington, USA: Journal of Raptor Research, v. 59, no. 3, p. 1-16, https://doi.org/10.3356/jrr2482.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-177337","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr2482","text":"Publisher Index Page"},{"id":500426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.72822793496042,\n              47.20172472210811\n            ],\n            [\n              -124.72822793496042,\n              46.15365987938665\n            ],\n            [\n              -123.42708843918685,\n              46.15365987938665\n            ],\n            [\n              -123.42708843918685,\n              47.20172472210811\n            ],\n            [\n              -124.72822793496042,\n              47.20172472210811\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Daniel E. Varland","contributorId":366594,"corporation":false,"usgs":false,"family":"Daniel E. Varland","affiliations":[{"id":37634,"text":"Coastal Raptors","active":true,"usgs":false}],"preferred":false,"id":956075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joseph B. Buchanan","contributorId":366595,"corporation":false,"usgs":false,"family":"Joseph B. Buchanan","affiliations":[{"id":7113,"text":"private citizen","active":true,"usgs":false}],"preferred":false,"id":956076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guthrie S. Zimmerman","contributorId":366596,"corporation":false,"usgs":false,"family":"Guthrie S. Zimmerman","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tracy L. Fleming","contributorId":366597,"corporation":false,"usgs":false,"family":"Tracy L. Fleming","affiliations":[{"id":7113,"text":"private citizen","active":true,"usgs":false}],"preferred":false,"id":956079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brian A. Millsap","contributorId":366598,"corporation":false,"usgs":false,"family":"Brian A. Millsap","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956080,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270162,"text":"70270162 - 2025 - Divergence of leptin receptor and interleukin-6 receptor subunit b in early vertebrate evolution and physiological insights from the sea lamprey","interactions":[],"lastModifiedDate":"2025-08-12T15:04:52.189587","indexId":"70270162","displayToPublicDate":"2025-07-01T07:55:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2773,"text":"Molecular Biology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Divergence of leptin receptor and interleukin-6 receptor subunit b in early vertebrate evolution and physiological insights from the sea lamprey","docAbstract":"<p><span>Current knowledge of class-I cytokine receptors comes primarily from studies in jawed vertebrates (gnathostomes), and their origin and evolution remain unresolved. In this study, we identified a leptin receptor-like sequence (LepRL) and three interleukin-6 receptor subunit b-like sequences (IL6RBL) from a jawless vertebrate (cyclostome), the sea lamprey (</span><i>Petromyzon marinus</i><span>). Based on structural, phylogenetic, and syntenic analyses, we deduced that these lamprey receptors are likely distinct ohnologs to gnathostome LepR and IL6RB-related receptors, respectively, that arose in the two rounds of vertebrate whole-genome duplication (1R and 2R). Notably, lamprey LepRL likely originated from a different 1R progenitor than the one giving rise to gnathostome LepR during cyclostome hexaploidization. Differential patterns in mRNA expression of LepRL and IL6RBLs were observed among adult tissues, during larval metamorphosis, and in response to juvenile feeding. Feeding stimulated hepatic expression of LepRL and IL6RBL (namely, IL6RBL1) mRNAs in correlation with upregulation of insulin-like growth factor mRNA, whereas brain LepRL and IL6RBL1 mRNA expression was correlated positively with neuropeptide Y but inversely with intestinal content in fed juveniles. Notably, these observations along with immunolocalization of LepRL in the hypothalamus suggest a role of leptin signaling in regulating energy balance that is conserved among vertebrates. Additionally, seawater exposure stimulated branchial LepRL expression coincident with increased expression of ion transporters in ionocytes, indicating a role of leptin signaling in osmoregulation. These findings provide new insight into the early evolution of class-I cytokine receptors and reveal diverse functions of the leptin signaling system in jawless vertebrate.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/molbev/msaf157","usgsCitation":"Gong, N., Barany, A., Norstog, J., Larhammar, D., Björnsson, B., Regish, A.M., McCormick, S.D., and Sheridan, M.A., 2025, Divergence of leptin receptor and interleukin-6 receptor subunit b in early vertebrate evolution and physiological insights from the sea lamprey: Molecular Biology and Evolution, v. 42, no. 7, msaf157, 15 p., https://doi.org/10.1093/molbev/msaf157.","productDescription":"msaf157, 15 p.","ipdsId":"IP-162401","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/molbev/msaf157","text":"Publisher Index Page"},{"id":493955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gong, Ningping","contributorId":228919,"corporation":false,"usgs":false,"family":"Gong","given":"Ningping","email":"","affiliations":[{"id":41526,"text":"Univ of Texas, Lubbock","active":true,"usgs":false}],"preferred":false,"id":945587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barany, André","contributorId":359475,"corporation":false,"usgs":false,"family":"Barany","given":"André","affiliations":[{"id":85821,"text":"Complutense University of Madrid","active":true,"usgs":false}],"preferred":false,"id":945588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norstog, Jessica L.","contributorId":352422,"corporation":false,"usgs":false,"family":"Norstog","given":"Jessica L.","affiliations":[{"id":84213,"text":"Organismic and Evolutionary Biology, University of Massachusetts, Amherst, MA, USA","active":true,"usgs":false}],"preferred":false,"id":945589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larhammar, Dan","contributorId":359476,"corporation":false,"usgs":false,"family":"Larhammar","given":"Dan","affiliations":[{"id":37671,"text":"Uppsala University","active":true,"usgs":false}],"preferred":false,"id":945590,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Björnsson, Björn Thrandur","contributorId":359477,"corporation":false,"usgs":false,"family":"Björnsson","given":"Björn Thrandur","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":945591,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":945592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":945593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheridan, Mark A.","contributorId":359478,"corporation":false,"usgs":false,"family":"Sheridan","given":"Mark","middleInitial":"A.","affiliations":[{"id":85824,"text":"Texas Tech","active":true,"usgs":false}],"preferred":false,"id":945594,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70268726,"text":"70268726 - 2025 - Quantifying the success of stormwater control measure networks using effective imperviousness","interactions":[],"lastModifiedDate":"2025-07-08T18:02:59.896773","indexId":"70268726","displayToPublicDate":"2025-06-30T11:00:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11111,"text":"PLOS Water","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the success of stormwater control measure networks using effective imperviousness","docAbstract":"The deleterious effects of directly-connected impervious surfaces on urban streams have been widely recognized. To deal with these effects, the use of stormwater control measures that aim to disconnect impervious surfaces and prevent stormwater from reaching the stream has surged. However, we lack widespread use of consistent metrics that describe how effective these stormwater control measures are for mitigating the effects of untreated stormwater. Using total impervious area neglects the effect of stormwater control measures whereas directly-connected impervious area assumes that stormwater control measures perform perfectly. Comparing the success of stormwater control measures across many watersheds and cities will require use of consistent metrics of effective imperviousness, describing actual performance of stormwater control measures in reducing impervious areas hydraulically connected to the stream. This work applies two published approaches to quantify effective imperviousness, one that measures the frequency of downstream flow disturbances and another that computes parameters from a paired rainfall-runoff regression analysis. We apply these approaches in two settings: 1) two watersheds with new low impact development in Clarksburg, Maryland, USA and 2) five watersheds with stormwater retrofits in Melbourne, Australia. These methods gave largely similar results, with differences in effective imperviousness ranging from 1%-9%. Using these approaches in Clarksburg, the effective imperviousness for the treatment watersheds was 6–12%, whereas the total imperviousness was 33–44% and the directly-connected imperviousness was 0%. In Clarksburg, effective imperviousness better described stream hydrologic and biotic outcomes compared to either total imperviousness or directly-connected imperviousness. In Melbourne, effective imperviousness was a better metric for hydrologic and water quality changes that are likely to provide ecological benefits. In both cases, new development and retrofits, we demonstrate the utility of effective imperviousness metrics for predicting stream outcomes and how these metrics may be used to understand the success of stormwater control measure using a consistent metric.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pwat.0000335","usgsCitation":"Bhaskar, A.S., Stillwell, C.C., Burns, M.J., Hopkins, K.G., and Walsh, C.J., 2025, Quantifying the success of stormwater control measure networks using effective imperviousness: PLOS Water, v. 4, no. 6, e0000335, 18 p., https://doi.org/10.1371/journal.pwat.0000335.","productDescription":"e0000335, 18 p.","ipdsId":"IP-171981","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":492076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pwat.0000335","text":"Publisher Index Page"},{"id":491849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhaskar, Aditi S.","contributorId":199824,"corporation":false,"usgs":false,"family":"Bhaskar","given":"Aditi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":941752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillwell, Charles C. 0000-0002-4571-4897","orcid":"https://orcid.org/0000-0002-4571-4897","contributorId":270394,"corporation":false,"usgs":true,"family":"Stillwell","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Matthew J.","contributorId":146251,"corporation":false,"usgs":false,"family":"Burns","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":16645,"text":"Waterway Ecosystem Research Group, School of Ecosystem and Forest Sciences, The","active":true,"usgs":false}],"preferred":false,"id":941754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Christopher J.","contributorId":171683,"corporation":false,"usgs":false,"family":"Walsh","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":941756,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273107,"text":"70273107 - 2025 - Spatiotemporal variations in strain release and seismic rupture in multifault systems: An example from Panamint Valley, southeastern California","interactions":[],"lastModifiedDate":"2025-12-16T15:46:46.130415","indexId":"70273107","displayToPublicDate":"2025-06-27T09:40:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal variations in strain release and seismic rupture in multifault systems: An example from Panamint Valley, southeastern California","docAbstract":"<p><span>Geometrically complex, multifault ruptures have been observed in recent, damaging earthquakes in southeastern California, sparking renewed efforts to identify physical conditions that promote or inhibit fault discontinuity-spanning coseismic ruptures. The likelihood of ruptures propagating across fault discontinuities is thought to be partly controlled by fault geometries, rupture direction, and the history of strain release. However, these parameters vary in space and time over multiple earthquake cycles, making it difficult to forecast the likelihood that an earthquake on one fault will trigger rupture on a nearby fault. Here we use tectono-geomorphic mapping of a geometrically complex fault zone in Panamint Valley, southeastern California, to assess spatiotemporal variations of paleo-rupture patterns and geometries of fault discontinuities over multiple earthquake cycles. First, we identify ten generations of late Pleistocene to Holocene alluvium using geomorphic parameters and luminescence dating to constrain ages of alluvium and bracket late Holocene earthquake timing. Then, we quantify slip kinematics using high-resolution structure from motion digital surface models. We find the Panamint Valley transtensional relay (PVTR) hosted four late Holocene earthquakes, bracketed to ~5.8–3.4 ka, ~3.8–2.2 ka, ~2.4–0.6 ka, and ~0.64–0.16 ka, with ~0.6–1.1 m of slip per event, correlative to Mw ≈ 6.7–6.9 earthquakes. Additionally, we find similarities in earthquake timing on the Ash Hill, PVTR, and Panamint Valley faults and similarities in the slip magnitude and slip kinematics between the Ash Hill and PVTR faults, implying that the PVTR may co-rupture with nearby faults. Paleo-rupture patterns indicate that seismogenic strain transfer may occur through the PVTR, along different combinations of fault segments and jump distances, over multiple earthquake cycles. These data highlight the utility of tectono-geomorphic mapping in evaluating paleo-rupture patterns and suggest that the PVTR may act to propagate and/or arrest rupture between the Ash Hill and Panamint Valley faults.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.2113/2024/lithosphere_2024_187","usgsCitation":"LaPlante, A., Regalla, C., Sethanant, I., Mahan, S.A., and Gray, H., 2025, Spatiotemporal variations in strain release and seismic rupture in multifault systems: An example from Panamint Valley, southeastern California: Lithosphere, v. 2024, no. Special 15, lithosphere_2024_187, 38 p., https://doi.org/10.2113/2024/lithosphere_2024_187.","productDescription":"lithosphere_2024_187, 38 p.","ipdsId":"IP-167806","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":497727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2113/2024/lithosphere_2024_187","text":"Publisher Index Page"},{"id":497572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Panamint Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.5,\n              36.333\n            ],\n            [\n              -117.5,\n              35.75\n            ],\n            [\n              -117,\n              35.75\n            ],\n            [\n              -117,\n              36.333\n            ],\n            [\n              -117.5,\n              36.333\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2024","issue":"Special 15","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"LaPlante, Aubrey 0000-0003-4770-2619","orcid":"https://orcid.org/0000-0003-4770-2619","contributorId":331133,"corporation":false,"usgs":false,"family":"LaPlante","given":"Aubrey","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":952351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regalla, Christine 0000-0003-2975-8336","orcid":"https://orcid.org/0000-0003-2975-8336","contributorId":254361,"corporation":false,"usgs":false,"family":"Regalla","given":"Christine","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":952352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sethanant, Israporn","contributorId":364204,"corporation":false,"usgs":false,"family":"Sethanant","given":"Israporn","affiliations":[{"id":86768,"text":"University of Melbourne (Australia)","active":true,"usgs":false}],"preferred":false,"id":952353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":952354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":952355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268866,"text":"70268866 - 2025 - Isotopic niche plasticity of American alligators within the southern Everglades","interactions":[],"lastModifiedDate":"2025-07-09T15:07:58.020309","indexId":"70268866","displayToPublicDate":"2025-06-27T08:03:47","publicationYear":"2025","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":"Isotopic niche plasticity of American alligators within the southern Everglades","docAbstract":"<p><span>Hydrologic alterations within the Everglades have degraded American alligator (</span><i>Alligator mississippiensis</i><span>) habitat, reduced prey base, and increased physiological stress. Alligator body condition declined across many management areas from 2000 through 2014, prompting us to investigate the relationship between their intraspecific isotopic niche dynamics and body condition. Alligators within the estuary had a larger niche driven by a wider range in stable carbon isotope ratios than those sampled in freshwater habitats. Spatially, model predictability was higher at the smaller scale, reflecting the variability in basal sources and biochemistry among capture sites. Male niches were often larger than those of females, driven by wider ranges of δ</span><sup>13</sup><span>C values, suggesting that they differ in their proportional use of habitats and or resources. However, the similar ranges of δ</span><sup>15</sup><span>N values indicated both sexes foraged within the same trophic level. Furthermore, while not significantly different, large alligators often had a larger niche with elevated δ</span><sup>15</sup><span>N values compared to medium-sized alligators. Although alligators utilize similar stable carbon and nitrogen isotope pools through time, there was considerable temporal variability. These temporal variations in alligators’ isotopic niche were likely influenced by seasonal hydrologic fluctuations within each site, with their niches often being larger in the spring captures than the fall captures. Alligators’ body condition estimates were correlated with intraspecific niche characteristics, including the mean centroid distance between sexes and the interaction between male and female niche size and overlap, within a site, capture period, and year. The variability in intraspecific niche dynamics, landscape heterogeneity, and dynamic hydrology are considerations for designing sustainable management strategies to conserve and enhance alligator populations within the Everglades landscape.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0326148","usgsCitation":"Denton, M., Cherkiss, M., Mazzotti, F.J., Brandt, L.A., Godfrey, S.T., Johnson, D., and Hart, K., 2025, Isotopic niche plasticity of American alligators within the southern Everglades: PLoS ONE, v. 20, no. 6, e0326148, 29 p., https://doi.org/10.1371/journal.pone.0326148.","productDescription":"e0326148, 29 p.","ipdsId":"IP-152063","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":492082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0326148","text":"Publisher Index Page"},{"id":491899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"southern Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.15227880692397,\n              26.64313806276658\n            ],\n            [\n              -82.15227880692397,\n              25.088643124435762\n            ],\n            [\n              -79.51780855484174,\n              25.088643124435762\n            ],\n            [\n              -79.51780855484174,\n              26.64313806276658\n            ],\n            [\n              -82.15227880692397,\n              26.64313806276658\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Denton, Mathew 0000-0002-1024-3722","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":210504,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222180,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":146647,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":942430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":942431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godfrey, Sidney T.","contributorId":302877,"corporation":false,"usgs":false,"family":"Godfrey","given":"Sidney","email":"","middleInitial":"T.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":942432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942434,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70268445,"text":"sir20245134 - 2025 - Assessment and validation of depressions in digital elevation models from multiple elevation data sources and delineation of depressions, sinking streams, and their watersheds in Tennessee and parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","interactions":[],"lastModifiedDate":"2025-08-14T19:40:56.797048","indexId":"sir20245134","displayToPublicDate":"2025-06-26T13:45:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5134","displayTitle":"Assessment and Validation of Depressions in Digital Elevation Models From Multiple Elevation Data Sources and Delineation of Depressions, Sinking Streams, and Their Watersheds in Tennessee and Parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","title":"Assessment and validation of depressions in digital elevation models from multiple elevation data sources and delineation of depressions, sinking streams, and their watersheds in Tennessee and parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","docAbstract":"<p>Closed depressions and sinking streams in karst landscapes pose difficulties for water-resources management, in the construction of roads and other public works, and in hydrologic and hydrogeomorphic analyses. Digital elevation models (DEMs) can be used to identify the location and determine the size and shape of closed depressions, but separating artificial depressions due to error from real depressions in DEMs can be difficult. Artificial depressions in the DEMs can result from errors that were inherited from limitations in the source data, the interpolation of the elevation data into a grid of values, or horizontal and vertical accuracy of the elevation data. Because the source dataset used to derive DEMs is only a model of the true landscape, field verification is necessary to separate artificial depressions from real ones in DEMs. DEM analysis alone can only be used to determine whether a depression is likely or unlikely to exist in the landscape.</p><p>The U.S. Geological Survey has applied methods to delineate depressions, sinking streams, and their watersheds by using DEMs derived from two sources of elevation data within karst areas of Tennessee and parts of surrounding States. Preliminary depressions, which include all depressions before separating the likely depressions from the unlikely depressions, were delineated from the DEMs with 30- by 30-foot cells derived from each elevation data source. The characteristics of these preliminary depressions were compared to occurrence probabilities for depressions derived from numerical error propagation tests in 10 test areas across the study area and to topographic-contour source data within a 17,739-square-mile test area in middle Tennessee and northern Alabama. The comparison was conducted to determine depression characteristics that, when combined with depression-proximity filters, could be used to separate unlikely from likely depressions. Preliminary depressions were examined in the field at 91 sites in Tennessee, and field observations were compared to digital determinations of unlikely and likely depressions.</p><p>The density and size of depressions derived from each elevation dataset were compared within eight karst regions in the study area. Depressions and their watersheds were compiled from each elevation dataset. Sinking streams derived from the National Hydrography Dataset and their watersheds also were compiled for the study area.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245134","issn":"2328-0328","collaboration":"Prepared in cooperation with the Tennessee Department of Transportation","usgsCitation":"Ladd, D.E., and Carmichael, J.K., 2025, Assessment and validation of depressions in digital elevation models from multiple elevation data sources and delineation of depressions, sinking streams, and their watersheds in Tennessee and parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi: U.S. Geological Survey Scientific Investigations Report 2024–5134, 44 p., https://doi.org/10.3133/sir20245134.","productDescription":"Report: viii, 44 p.; Data Release","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-045246","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":491319,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74F1PZJ","text":"USGS Data Release","linkHelpText":"- Geospatial dataset of depressions, sinking streams, and associated watersheds in karst areas of Tennessee and parts of surrounding States"},{"id":491318,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245134/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5134 HTML"},{"id":491317,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5134/sir20245134.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5134 XML"},{"id":491316,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5134/sir20245134.pdf","size":"4.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5134"},{"id":494148,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118671.htm","linkFileType":{"id":5,"text":"html"}},{"id":491315,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5134/images"},{"id":491314,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5134/coverthb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, Mississippi, North Carolina, Tennessee, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.69263791265882,\n              35.14686343769149\n            ],\n            [\n              -87.98527439570057,\n              33.891319067917465\n            ],\n            [\n              -85.46652629367523,\n              33.88855601482584\n            ],\n            [\n              -83.10486907070994,\n              34.95749517137135\n            ],\n            [\n              -81.19319923704221,\n              35.721685422518846\n            ],\n            [\n              -80.48496252636136,\n              37.347049937087334\n            ],\n            [\n              -82.74178631386071,\n              36.93719388284505\n            ],\n            [\n              -85.23476693190148,\n              37.597462371214746\n            ],\n            [\n              -87.55589140434725,\n              37.271743496940715\n            ],\n            [\n              -88.60256709803548,\n              37.08382840084704\n            ],\n            [\n              -89.05083592133828,\n              36.49238776629052\n            ],\n            [\n              -88.69263791265882,\n              35.14686343769149\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Study</li><li>Results and Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-06-26","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Ladd, David E. 0000-0002-9247-7839 deladd@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7839","contributorId":1646,"corporation":false,"usgs":true,"family":"Ladd","given":"David","email":"deladd@usgs.gov","middleInitial":"E.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carmichael, John K. 0000-0003-1099-841X jkcarmic@usgs.gov","orcid":"https://orcid.org/0000-0003-1099-841X","contributorId":4554,"corporation":false,"usgs":true,"family":"Carmichael","given":"John","email":"jkcarmic@usgs.gov","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941323,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268817,"text":"70268817 - 2025 - In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands","interactions":[],"lastModifiedDate":"2025-07-08T15:28:17.235284","indexId":"70268817","displayToPublicDate":"2025-06-26T10:21:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands","docAbstract":"<p class=\"mb15\"><strong>Introduction:</strong><span>&nbsp;</span>Rangeland ponds are vital to the livelihoods of pastoral and agropastoral communities in Africa, providing an important source of water for livestock. However, sparse instrumentation across much of Africa makes it extremely challenging to monitor surface water availability in these areas. Model estimates of surface water, for example, as used by the Famine Early Warning Systems Network (FEWS NET) Water Point Viewer, are one of the few operational tools available to monitor surface water stress across pastoral areas of the Sahel and East Africa.</p><p class=\"mb15\"><strong>Methods:</strong><span>&nbsp;</span>Water availability data from these models are difficult to validate. New methods using satellite data to classify surface water provide an opportunity to assess the performance of these tools. This study compares water availability estimates derived from Landsat and Sentinel 1 satellite imagery to<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>observations and model simulations of water availability in 22 ephemeral ponds located in the Ferlo region of Senegal.</p><p class=\"mb0\"><strong>Results and discussion:</strong><span>&nbsp;</span>The Active-Passive Water Classification (APWC) algorithm detected surface water at each location. Over 2022 and 2023, water was detected in pond locations annually at a frequency of 68.2% for all ponds and at a frequency of 43.8% for ponds with a surface area &lt;10,000 square meters (m<sup>2</sup>). The APWC results outperform global and continental surface water datasets in the Ferlo region. Seasonal water availability was captured in 12 ponds over the 2022 and 2023 seasons. The 12 locations can function as sentinel ponds to monitor local water availability. Study results demonstrate the viability of satellite methods to assess water availability in the region, as well as the challenges to using satellite-based methods to estimate water availability in small ponds.</p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2025.1320010","usgsCitation":"Slinski, K., Senay, G.B., Adoum, A., Shukla, S., McNally, A., Rowland, J., Fillol, E., Yatheendradas, S., Funk, C., Hoell, A., and Jasinski, M., 2025, In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands: Frontiers in Water, v. 7, 1320010, 17 p., https://doi.org/10.3389/frwa.2025.1320010.","productDescription":"1320010, 17 p.","ipdsId":"IP-162900","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":492054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2025.1320010","text":"Publisher Index Page"},{"id":491802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Senegal","otherGeospatial":"Ferlo Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -16.125,\n              16.5\n            ],\n            [\n              -16.125,\n              14.6667\n            ],\n            [\n              -14,\n              14.6667\n            ],\n            [\n              -14,\n              16.5\n            ],\n            [\n              -16.125,\n              16.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Slinski, Kimberly","contributorId":337030,"corporation":false,"usgs":false,"family":"Slinski","given":"Kimberly","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":942089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":942090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adoum, Alkhalil","contributorId":357639,"corporation":false,"usgs":false,"family":"Adoum","given":"Alkhalil","affiliations":[{"id":85483,"text":"University of California, Climate Hazards Center, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":942091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shukla, Shraddhanand","contributorId":224784,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":942092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNally, Amy","contributorId":331306,"corporation":false,"usgs":false,"family":"McNally","given":"Amy","affiliations":[{"id":79185,"text":"NASA Goddard Space Flight Center/SAIC","active":true,"usgs":false}],"preferred":false,"id":942093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":942094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fillol, Erwan","contributorId":357640,"corporation":false,"usgs":false,"family":"Fillol","given":"Erwan","affiliations":[{"id":85484,"text":"Action Contre la Faim, Regional Office for West & Central Africa, Dakar, Senegal","active":true,"usgs":false}],"preferred":false,"id":942095,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yatheendradas, Soni","contributorId":217737,"corporation":false,"usgs":false,"family":"Yatheendradas","given":"Soni","email":"","affiliations":[{"id":39690,"text":"University of Maryland; NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":942096,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Funk, Chris","contributorId":302160,"corporation":false,"usgs":false,"family":"Funk","given":"Chris","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":942097,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hoell, Andrew","contributorId":331301,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":79182,"text":"NOAA ESRL","active":true,"usgs":false}],"preferred":false,"id":942098,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jasinski, Michael","contributorId":357641,"corporation":false,"usgs":false,"family":"Jasinski","given":"Michael","affiliations":[{"id":85485,"text":"NASA, Goddard Space Flight Center Department, Greenbelt, MD, USA","active":true,"usgs":false}],"preferred":false,"id":942099,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70268909,"text":"70268909 - 2025 - Staying alive: Post-translocation apparent survival of fishes in headwater springs following drought","interactions":[],"lastModifiedDate":"2025-09-09T14:42:06.990995","indexId":"70268909","displayToPublicDate":"2025-06-26T08:33:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Staying alive: Post-translocation apparent survival of fishes in headwater springs following drought","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Increasing fragmentation from constructed barriers, increased water use, and climate change limits the resiliency of stream fish metapopulations by reducing colonization. Management actions such as stocking or translocating fish may help contribute to the resilience of isolated habitats and increase redundancy of populations in intermittent stream networks. Our objective was to determine whether translocating fish into prairie headwater refuges could reestablish or supplement isolated populations.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We examined apparent survival and probability of detection of four native, small-bodied fishes that were translocated in 2022 and 2023 to prairie headwater refuges that were affected by a severe drought and experienced slow recovery of their fish assemblages. All the fish were marked with passive integrated transponder tags, allowing us to use a mark–recapture framework to track the fate of these fish.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">Apparent survival was predicted by an interaction between time and translocation site, indicating an important consideration of environmental factors. Approximately one-quarter of the fish remained at site A through the summer of both years, whereas estimates were near zero at site B in both years and mixed across years at site C. The decreases in apparent survival probabilities following flow events suggest that fish may be emigrating during these periods of reconnection. During the lower flow year, more fish remained at the headwater sites and young-of-year fish were captured during long-term sampling, suggesting that the translocated fish reproduced.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">The success of translocation projects will depend on a variety of factors, including management goals, habitat, and hydrology, but the initially high survival reported in this study is encouraging. Difficulties with examining the movement of small fish during hydrologic events limited our conclusions about the relative contributions of mortality and emigration to apparent survival estimates. Despite low yearly apparent survival, we found evidence of reproduction from translocated fish, suggesting that the reestablishment of a viable population is possible.</p></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf047","usgsCitation":"Bonjour, S.M., Gido, K., Pfaff, P., Rick, A., and Masek, A., 2025, Staying alive: Post-translocation apparent survival of fishes in headwater springs following drought: North American Journal of Fisheries Management, v. 45, no. 4, p. 659-668, https://doi.org/10.1093/najfmt/vqaf047.","productDescription":"10 p.","startPage":"659","endPage":"668","ipdsId":"IP-170644","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":492004,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bonjour, Sophia Marie 0000-0003-3614-7023","orcid":"https://orcid.org/0000-0003-3614-7023","contributorId":335936,"corporation":false,"usgs":true,"family":"Bonjour","given":"Sophia","email":"","middleInitial":"Marie","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":942561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gido, Keith B.","contributorId":341429,"corporation":false,"usgs":false,"family":"Gido","given":"Keith B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":942562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfaff, Peter J.","contributorId":357780,"corporation":false,"usgs":false,"family":"Pfaff","given":"Peter J.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":942563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rick, Abigail","contributorId":357782,"corporation":false,"usgs":false,"family":"Rick","given":"Abigail","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":942564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masek, Aiden","contributorId":357784,"corporation":false,"usgs":false,"family":"Masek","given":"Aiden","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":942565,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269249,"text":"70269249 - 2025 - Metabarcoding analysis of arthropod pollinator diversity: A methodological comparison of eDNA derived from flowers and DNA derived from bulk samples of insects","interactions":[],"lastModifiedDate":"2025-07-17T14:25:19.392458","indexId":"70269249","displayToPublicDate":"2025-06-25T09:22:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Metabarcoding analysis of arthropod pollinator diversity: A methodological comparison of eDNA derived from flowers and DNA derived from bulk samples of insects","docAbstract":"<p><span>Limitations of traditional insect sampling methods have motivated the development and optimisation of new non-lethal methods capable of quantifying diverse arthropod communities. Environmental DNA (eDNA) metabarcoding using arthropod-specific primers has recently been investigated as a novel way to characterise arthropod communities from the DNA they deposit on the surface of plants. This sampling method has had demonstrated success, but pollinators—especially bees—are oddly underrepresented in these studies. To evaluate this inconsistency, we investigated the limitations of eDNA metabarcoding for bees and other pollinators. We compared pollinator diversity derived from eDNA extracted from flowers and DNA extracted from pulverised bulk samples of insects collected from vane traps deployed at the same sites using three metabarcoding primers, two of which target arthropods generally (COI-Jusino and 16S-Marquina) and one that targets bumblebees (</span><i>Bombus</i><span>&nbsp;spp., COI-Milam). Across methods, we detected 77 insect families from 9 orders. The COI-Jusino marker amplified the highest taxonomic diversity compared to 16S-Marquina and COI-Milam. More amplicon sequence variants (ASVs) were recovered from vane traps (blue: 1357, yellow: 1542) than flowers (245), but only 23% of families and 13% of genera were shared among methods, indicating that flowers and blue and yellow vane traps may each sample different parts of the available arthropod community. Of 29 flower samples with known bee visitations, only 10 samples had bee detections from eDNA, and incomplete reference databases hindered assignment to species. Although our study provides additional evidence for the usefulness of eDNA metabarcoding for characterising arthropod communities, significant challenges remain when using eDNA metabarcoding methods to identify and quantify pollinator communities, especially bees.</span></p>","language":"English","doi":"10.1111/mec.70003","usgsCitation":"Jones, K., Pilliod, D.S., and Aunins, A.W., 2025, Metabarcoding analysis of arthropod pollinator diversity: A methodological comparison of eDNA derived from flowers and DNA derived from bulk samples of insects: Molecular Ecology, v. 34, no. 14, e70003, 17 p., https://doi.org/10.1111/mec.70003.","productDescription":"e70003, 17 p.","ipdsId":"IP-175536","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.70003","text":"Publisher Index Page"},{"id":492417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"14","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Kara Suzanne 0000-0002-8168-0815","orcid":"https://orcid.org/0000-0002-8168-0815","contributorId":331477,"corporation":false,"usgs":true,"family":"Jones","given":"Kara Suzanne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":943285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":943286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":943287,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70268398,"text":"70268398 - 2025 - Numerical simulation of sound-side barrier-island inundation and breaching during Hurricane Dorian (2019)","interactions":[],"lastModifiedDate":"2025-06-25T14:38:37.180303","indexId":"70268398","displayToPublicDate":"2025-06-20T09:31:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Numerical simulation of sound-side barrier-island inundation and breaching during Hurricane Dorian (2019)","docAbstract":"<p><span>Hurricane-induced morphological changes and associated community hazards along sandy, barrier-island coastlines have been studied primarily from the perspective of ocean-side attack by storm-driven ocean surge and large waves. Thus, our understanding of long-term barrier island morphological change focuses on beach erosion, overwash, and inlet formation. In contrast, outwash events with inundation from the sound side, such as one that occurred in Cape Lookout National Seashore, North Carolina, USA during Hurricane Dorian (September 2019), are understudied. Studying such events can improve understanding of barrier island response and stability for a broader range of conditions. Here, we model the hydrodynamics and morphological evolution of a barrier island using a coupled wave-current-sediment transport modeling system. Wind-driven surge in Pamlico Sound led to overtopping from the sound side, which eroded outwash channels and transported sediment seaward into the nearshore. Simulations reproduce the channel features observed with aerial imagery and provide information not available from the remote-sensing observations, including channel depths (&gt;2&nbsp;m) and the fate of the eroded sand. We found that &gt;99% of the eroded sand was deposited in the nearshore, within 1,000&nbsp;m of the shoreline in depths &lt;10&nbsp;m, suggesting that the deposited sediment remains available for littoral transport and beach recovery. Simulations with combinations of coarse or fine sediment and vegetated or unvegetated landcover indicate that channel position did not vary with grain size or vegetation, while volume of erosion and channel morphology were more responsive to variations in grain size and less responsive to presence of vegetation.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JF008309","usgsCitation":"Warner, J.C., Sherwood, C.R., Hegermiller, C., Defne, Z., Zambon, J., He, R., Xue, G., Bao, D., Yin, D., and Moulton, M., 2025, Numerical simulation of sound-side barrier-island inundation and breaching during Hurricane Dorian (2019): JGR Earth Surface, v. 130, no. 6, e2025JF008309, 23 p., https://doi.org/10.1029/2025JF008309.","productDescription":"e2025JF008309, 23 p.","ipdsId":"IP-170654","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jf008309","text":"Publisher Index Page"},{"id":491278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Outer Banks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.5,\n              35.25\n            ],\n            [\n              -76.5,\n              34.75\n            ],\n            [\n              -75.5,\n              34.75\n            ],\n            [\n              -75.5,\n              35.25\n            ],\n            [\n              -76.5,\n              35.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hegermiller, Christie A.","contributorId":357332,"corporation":false,"usgs":false,"family":"Hegermiller","given":"Christie A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":941219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zambon, Joseph B.","contributorId":336620,"corporation":false,"usgs":false,"family":"Zambon","given":"Joseph B.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":941221,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"He, Ruoying 0000-0001-6158-2292","orcid":"https://orcid.org/0000-0001-6158-2292","contributorId":202189,"corporation":false,"usgs":false,"family":"He","given":"Ruoying","email":"","affiliations":[],"preferred":false,"id":941222,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xue, George","contributorId":294533,"corporation":false,"usgs":false,"family":"Xue","given":"George","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":941223,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bao, Daoyang","contributorId":294534,"corporation":false,"usgs":false,"family":"Bao","given":"Daoyang","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":941224,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yin, Dongxiao","contributorId":294535,"corporation":false,"usgs":false,"family":"Yin","given":"Dongxiao","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":941225,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moulton, Melissa","contributorId":305679,"corporation":false,"usgs":false,"family":"Moulton","given":"Melissa","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":941226,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70268390,"text":"70268390 - 2025 - Rapid emplacement of the Keaiwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kilauea volcano","interactions":[],"lastModifiedDate":"2025-06-24T14:27:46.198157","indexId":"70268390","displayToPublicDate":"2025-06-19T09:20:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rapid emplacement of the Keaīwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kīlauea volcano","title":"Rapid emplacement of the Keaiwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kilauea volcano","docAbstract":"<p><span>The Keaīwa Lava Flow of 1823 in the Southwest Rift Zone of Kīlauea volcano is unusual for its expansive pāhoehoe sheet flow morphology and lack of constructive vent topography, despite having a similar tholeiitic basalt composition to other lavas erupted from Kīlauea. This lava flow issued from a&nbsp;∼10-km-long continuous fissure now known as the Great Crack, and has an unusually thin sheet flow morphology with margin thicknesses of ∼15–110&nbsp;cm (average of 42&nbsp;cm). Based on field observations of the lava flow at its fissure vent (e.g., drain-back features), we propose that the Great Crack formed, or at least significantly widened, just prior to and syn-eruptively with this 1823 eruption. The absence of pyroclastic cones or spatter ramparts indicates that the eruption consisted of a rapid outpouring of relatively degassed lava as the fissure unzipped. The rapidly moving lava flow overtopped pre-existing tumuli and scoria cones (e.g., Lava Plastered Cones) up to ∼10&nbsp;m tall. Glass and whole-rock chemistry yield homogeneous compositions for the lavas erupted from the Great Crack, with glass compositions of 6.40&nbsp;±&nbsp;0.10&nbsp;wt% MgO and whole-rock compositions of 7.39&nbsp;±&nbsp;0.07&nbsp;wt% MgO. Lava pads erupted from a short western fissure system are richer in mafic minerals (e.g., olivine and clinopyroxene), and show slightly more MgO-rich whole-rock compositions (7.79&nbsp;±&nbsp;0.05&nbsp;wt%). MgO-in-glass thermometry on juvenile spatter yield eruption temperatures of 1153&nbsp;±&nbsp;13°C that are typical of Kīlauea lavas. Thus, the extensive sheet-like lava flow morphology is not a direct consequence of unusual magmatic or rheological conditions (i.e., low viscosity). Instead, the flow morphology is associated with high effusion rates caused by sudden drainage of uprift magma as it erupted from the Great Crack. Lava flow modeling on a 2-m-resolution digital elevation model indicates that a minimum bulk effusion rate of ∼5800&nbsp;m</span><sup>3</sup><span>/s (∼3500&nbsp;m</span><sup>3</sup><span>/s dense rock equivalent) and a minimum flow velocity of ∼11&nbsp;m/s are required for the lava flow to overcome the topography of the Lava Plastered Cones. This effusion rate is among the highest inferred for eruptions in Hawaiʻi and around the world. This study highlights a less frequent eruption style at Hawaiian volcanoes characterized by a sudden outpouring of lava from an unusual fissure system. Local eyewitness accounts indicate that the 1823 eruption was preceded by seismicity. Given the complex magmatic-volcanic-tectonic relations across Kīlauea, we speculate that the south flank could have slipped over one or more events that ultimately triggered unzipping of the Great Crack and passive release of briefly stored uprift magma. An eruption similar to 1823 at Kīlauea or Mauna Loa, with an eruptive timeframe that could be as short as an hour, with high effusion rates and rapid flow front velocities, would not easily allow for a timely response.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108391","usgsCitation":"Tonato, A., Shea, T., Downs, D.T., and Kelfoun, K., 2025, Rapid emplacement of the Keaiwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kilauea volcano: Journal of Volcanology and Geothermal Research, v. 466, 108391, 18 p., https://doi.org/10.1016/j.jvolgeores.2025.108391.","productDescription":"108391, 18 p.","ipdsId":"IP-169862","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":494405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108391","text":"Publisher Index Page"},{"id":491181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Great Crack in the Southwest Rift Zone of Kīlauea volcano, Keaīwa Lava Flow","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.2184297752859,\n              19.437317498221987\n            ],\n            [\n              -155.5,\n              19.437317498221987\n            ],\n            [\n              -155.5,\n              19.1667\n            ],\n            [\n              -155.2184297752859,\n              19.1667\n            ],\n            [\n              -155.2184297752859,\n              19.437317498221987\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"466","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Tonato, Andrea","contributorId":352882,"corporation":false,"usgs":false,"family":"Tonato","given":"Andrea","affiliations":[{"id":64253,"text":"University of Hawaiʻi at Mānoa","active":true,"usgs":false}],"preferred":false,"id":941184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, Thomas","contributorId":236886,"corporation":false,"usgs":false,"family":"Shea","given":"Thomas","affiliations":[{"id":47560,"text":"University of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":941185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":941186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelfoun, Karim","contributorId":333750,"corporation":false,"usgs":false,"family":"Kelfoun","given":"Karim","email":"","affiliations":[{"id":79967,"text":"Laboratoire Magmas et Volcans, Université Clermont Auvergne, Clermont-Ferrand, France","active":true,"usgs":false}],"preferred":false,"id":941187,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70268890,"text":"70268890 - 2025 - Soil-microbial communities respond less than plant communities to synthetic- or bio-herbicides applied to address the exotic grass-fire cycle in rangelands","interactions":[],"lastModifiedDate":"2025-07-10T13:44:52.101126","indexId":"70268890","displayToPublicDate":"2025-06-19T08:37:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Soil-microbial communities respond less than plant communities to synthetic- or bio-herbicides applied to address the exotic grass-fire cycle in rangelands","docAbstract":"<p><span>The exotic grass-fire cycle is degrading semiarid rangelands, such as the vast areas of shrub-steppe in North America now invaded by fire-promoting cheatgrass. Chemical- or bio-herbicides are sprayed onto soils to inhibit the invaders, but information on chemical- or bio-herbicide impacts to soil microbial communities is limited. We asked how the soil-microbiome responded to the bioherbicide&nbsp;</span><i>Pseudomonas fluorescens</i><span>&nbsp;strain ACK55 in comparison to the separate and combined effects of a conventional pre-emergent chemical herbicide, imazapic, in two cheatgrass-invaded sagebrush-steppe sites. First-year microbial responses were evaluated using targeted sequencing of the 16S and LSU rRNA genes for bacteria+archaea and fungi, respectively, and were related to plant-community responses. A strong cheatgrass reduction with imazapic at one site was accompanied by a small shift in bacteria+archaea (16S) community composition with no effect on microbial alpha diversity, and this shift was small in comparison to natural microbiome variation between sites. ACK55 was not detected in soil a year after application, and it caused only transient and marginally significant reductions in annual grass cover accompanied by small reductions in soil fungi species richness. Full-length sequencing of the ACK55 16S rRNA gene and phylogenetic analyses revealed that ACK55 is more likely&nbsp;</span><i>P. salmonii</i><span>&nbsp;than&nbsp;</span><i>P. fluorescens</i><span>. Knowledge gaps remain on the duration and consequences of microbial-community shifts with imazapic and why molecular analyses showed ACK55 did not persist in soils. Confusion regarding microbial biopesticides can result where isolation, effectiveness testing, commercial release, and regulation are not guided by molecular taxonomic analyses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.179831","usgsCitation":"Lazarus, B., Mueller, R., and Germino, M., 2025, Soil-microbial communities respond less than plant communities to synthetic- or bio-herbicides applied to address the exotic grass-fire cycle in rangelands: Science of the Total Environment, v. 991, 179831, 11 p., https://doi.org/10.1016/j.scitotenv.2025.179831.","productDescription":"179831, 11 p.","ipdsId":"IP-171773","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":492005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River Plain","volume":"991","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne E 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":357758,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":942509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Rebecca","contributorId":357759,"corporation":false,"usgs":false,"family":"Mueller","given":"Rebecca","affiliations":[{"id":85553,"text":"USDA-ARS Western Regional Research Center, Albany, CA","active":true,"usgs":false}],"preferred":false,"id":942510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":942511,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70268377,"text":"70268377 - 2025 - Borehole geophysical time-series logging to monitor passive ISCO treatment of residual chlorinated-ethenes in a confining bed, NAS Pensacola, Florida","interactions":[],"lastModifiedDate":"2025-06-24T14:49:19.213209","indexId":"70268377","displayToPublicDate":"2025-06-18T07:43:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21827,"text":"Hydrology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Borehole geophysical time-series logging to monitor passive ISCO treatment of residual chlorinated-ethenes in a confining bed, NAS Pensacola, Florida","docAbstract":"<p><span>In-situ chemical oxidation (ISCO) is a common method to remediate chlorinated ethene contaminants in groundwater. Monitoring the effectiveness of ISCO can be hindered because of insufficient observations to assess oxidant delivery. Advantageously, potassium permanganate, one type of oxidant, provides the opportunity to use its strong electrical signal as a surrogate to track oxidant delivery using time-series borehole geophysical methods, like electromagnetic (EM) induction logging. Here we report a passive ISCO (P-ISCO) experiment, using potassium permanganate cylinders emplaced in boreholes, at a chlorinated ethene contamination site, Naval Air Station Pensacola, Florida. The contaminants are found primarily at the base of a shallow sandy aquifer in contact with an underlying silty-clay confining bed. We used results of the time-series borehole logging collected between 2017 and 2022 in 4 monitoring wells to track oxidant delivery. The EM-induction logs from the monitoring wells showed an increase in EM response primarily along the contact, likely from pooling of the oxidant, during P-ISCO treatment in 2021. Interestingly, concurrent natural gamma-ray (NGR) logging showed a decrease in NGR response at 3 of the 4 wells possibly from the formation of manganese precipitates coating sediments. The coupling of time-series logging and well-chemistry data allowed for an improved assessment of passive ISCO treatment effectiveness.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/hydrology12060155","usgsCitation":"Harte, P., Singletary, M., and Landmeyer, J., 2025, Borehole geophysical time-series logging to monitor passive ISCO treatment of residual chlorinated-ethenes in a confining bed, NAS Pensacola, Florida: Hydrology Journal, v. 12, no. 6, 155, 21 p., https://doi.org/10.3390/hydrology12060155.","productDescription":"155, 21 p.","ipdsId":"IP-172305","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":491498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrology12060155","text":"Publisher Index Page"},{"id":491184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","city":"Pensacola","otherGeospatial":"NAS Pensacola","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.35238712915951,\n              30.378828812173666\n            ],\n            [\n              -87.35238712915951,\n              30.32983549008638\n            ],\n            [\n              -87.23991634365869,\n              30.32983549008638\n            ],\n            [\n              -87.23991634365869,\n              30.378828812173666\n            ],\n            [\n              -87.35238712915951,\n              30.378828812173666\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Harte, Philip 0000-0002-7718-1204","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":217273,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singletary, Michael A.","contributorId":357307,"corporation":false,"usgs":false,"family":"Singletary","given":"Michael A.","affiliations":[{"id":85401,"text":"U.S. Navy Facilities Command, Southeast","active":true,"usgs":false}],"preferred":false,"id":941146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landmeyer, James E. 0000-0002-5640-3816","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":346430,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941147,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274278,"text":"70274278 - 2025 - Considerations for using tag-returns to monitor targeted removal of invasive fishes","interactions":[],"lastModifiedDate":"2026-03-24T16:46:08.980961","indexId":"70274278","displayToPublicDate":"2025-06-18T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Considerations for using tag-returns to monitor targeted removal of invasive fishes","docAbstract":"<p>Objective</p><p><span>Targeted removals are used for management of some invasive fish populations. Tag–return studies are one approach that can be used to assess the efficacy of targeted removals. However, there are many decisions to make when designing a tag–return study. We used simulation modeling to outline general guidelines for consideration when designing efficient tag–return studies to measure annual removal rates of invasive fish, particularly invasive carps.</span></p><p><span>Methods</span></p><p><span>We simulated data sets using scenarios with varying numbers of fish tagged per year, removal rates, tag reporting rates, tag retention rates, and study durations. We generated the data sets under a set of “known” parameters with added stochasticity; we then fitted the simulated data sets to a Bayesian tag–return model and measured the precision and accuracy of the model-estimated removal rates.</span></p><p><span>Results</span></p><p><span>We found that the model was able to predict removal rates without bias for most of the scenarios. However, we did find patterns in the precision of the predictions that could help to inform tag–return studies. When the proportion of the population removed through harvest was constant, the proportion of the population removed per year and the probability that harvested tags were reported had the largest effect on precision. The number of tags released per year and the study duration also had moderate effects. For scenarios testing the ability of the model to predict removal rates in stochastic populations, the precision of the model was primarily influenced by the number of fish tagged, the underlying nature of the stochasticity, and whether fish were tagged during the year of the prediction.</span></p><p><span>Conclusions</span></p><p><span>Based on our simulations, we outline how study objectives, the underlying population variability, and the tolerance range for error can guide decisions regarding the number of fish to tag, how to monitor tag return rates, and how long to conduct a study.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf049","usgsCitation":"Stanton, J.C., Marcek, B.J., and Brey, M.K., 2025, Considerations for using tag-returns to monitor targeted removal of invasive fishes: North American Journal of Fisheries Management, v. 45, no. 4, p. 669-683, https://doi.org/10.1093/najfmt/vqaf049.","productDescription":"15 p.","startPage":"669","endPage":"683","ipdsId":"IP-164064","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501964,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13DJCBK","text":"USGS data release","linkHelpText":"Code release for simulated tag-return study for monitoring invasive fish removals"},{"id":501681,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/najfmt/vqaf049","text":"Publisher Index Page"},{"id":501474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcek, Benjamin J.","contributorId":367732,"corporation":false,"usgs":false,"family":"Marcek","given":"Benjamin","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":957556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267978,"text":"70267978 - 2025 - The stratigraphic record of the mid-Piacenzian warm period on the Atlantic Coastal Plain","interactions":[],"lastModifiedDate":"2025-09-09T16:04:07.775087","indexId":"70267978","displayToPublicDate":"2025-06-16T10:58:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"The stratigraphic record of the mid-Piacenzian warm period on the Atlantic Coastal Plain","docAbstract":"<p><span>Anthropogenic climate change is an existential threat to our planet, impacting everything from the delicate balance of ecosystems to the availability of vital resources. Coastal regions, particularly vulnerable to the impacts of climate change due to rising sea levels and changing weather patterns, are experiencing increased erosion, flooding, and habitat loss. Understanding how coastal regions responded to past warming is crucial for developing effective adaptation and mitigation strategies. One past interval commonly used to examine and compare with climate model projections of near future conditions is the mid-Piacenzian Warm Period (MPWP) which occurred between*3.3 and 3.0 Ma. Here we review the stratigraphy of Atlantic Coastal Plain (ACP) sediments to determine the stratigraphic position of the MPWP by evaluating ages based upon existing and new planktic foraminifer occurrence data calibrated to the current geologic time scale (GTS2020). We identify geologic formations representing pre-, syn-, and post-MPWP environments. The Sunken Meadow Member of the Yorktown Formation in Virginia and North Carolina and the Wabasso beds in the subsurface of Georgia and Florida both fall within Planktic Foraminiferal Zone PL1 and represent pre-MPWP Pliocene deposits. Parts of the Yorktown Formation in southeastern Virginia and northern North Carolina, the Duplin Formation in North Carolina and South Carolina, and the Raysor Formation in South Carolina and Georgia, fall within Planktic Foraminiferal Zone PL3 and were deposited following a major regression associated with a global drop in sea level during Marine Isotope Stage (MIS) M2 and represent syn-MPWP deposits. Representing the immediately post-MPWP climate conditions (Planktic Foraminiferal Zone PL5) are the Chowan River, Bear Bluff, and Cypresshead Formations. This work provides a record of the MPWP from Georgia to Virginia and provides a stratigraphic framework within which the impacts of a profound global warming on the east coast of the United States can be assessed.</span></p>","language":"English","publisher":"Micropaleontological Press","doi":"10.47894/stra.22.2.00","usgsCitation":"Dowsett, H., and Spivey, W., 2025, The stratigraphic record of the mid-Piacenzian warm period on the Atlantic Coastal Plain: Stratigraphy, v. 22, no. 2, p. 81-97, https://doi.org/10.47894/stra.22.2.00.","productDescription":"17 p.","startPage":"81","endPage":"97","ipdsId":"IP-167251","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":490297,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-412/article-2424","linkFileType":{"id":5,"text":"html"}},{"id":495251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina, Virginia","otherGeospatial":"Atlantic Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.2540064137628,\n              37.9661310516864\n            ],\n            [\n              -77.45393664738447,\n              37.57788480662157\n            ],\n            [\n              -82.81553889394615,\n              31.49173122752032\n            ],\n            [\n              -82.4849451212944,\n              30.69984073209814\n            ],\n            [\n              -81.58807068387608,\n              30.841401404258605\n            ],\n            [\n              -78.7009680731669,\n              33.43137207763918\n            ],\n            [\n              -75.88995103042635,\n              34.91166522689612\n            ],\n            [\n              -75.2540064137628,\n              37.9661310516864\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":316789,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":939852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":939853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268280,"text":"70268280 - 2025 - Scoping decision-maker needs and science availability to support regional natural capital accounting in the U.S. Colorado River Basin","interactions":[],"lastModifiedDate":"2025-06-20T14:25:55.873314","indexId":"70268280","displayToPublicDate":"2025-06-16T09:18:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5943,"text":"One Ecosystem","active":true,"publicationSubtype":{"id":10}},"title":"Scoping decision-maker needs and science availability to support regional natural capital accounting in the U.S. Colorado River Basin","docAbstract":"<p><span>Natural capital accounting has the potential to yield important policy insights at multiple scales, but there remains a disconnect between regional-scale natural capital accounts and their use for informing policy. In this paper, we propose a roadmap that could lead to the creation of policy-relevant regional accounts, with steps split across an initial scoping phase and a subsequent development phase. We demonstrate the scoping steps in action with an application to the Colorado River Basin (“Basin”), a large watershed in the southwestern United States (U.S.) that has faced aridification and substantial high-profile tradeoffs around the use of its water and other natural resources. Drawing on prior U.S. Geological Survey science co-production efforts, we conducted a series of eight discussion sessions with 41 scientists and science representatives whose work is relevant to Basin water, riparian and riverine ecosystems, upland ecosystems and energy and minerals. We summarise participants' thoughts on key topics and economic linkages, their insights and questions of interest and their recommendations on existing scientific data sources and gaps. We evaluate the suitability of the available data for construction of System of Environmental-Economic Accounting (SEEA) Central Framework and SEEA Ecosystem Accounting accounts, including those for land, water, forests, energy and minerals and ecosystems (covering extent, condition and ecosystem services). We present a series of lessons learned during the scoping phase, as well as lessons that could be relevant for future practitioners engaging in the development phase. The information can help guide the development of timely and relevant regional-scale environmental-economic accounts in the U.S. and beyond.</span></p>","language":"English","publisher":"Pensoft","doi":"10.3897/oneeco.10.e147848","usgsCitation":"Enriquez, A.J., Bagstad, K.J., Dahm, K., Torregrosa, A.A., and Schuster, R., 2025, Scoping decision-maker needs and science availability to support regional natural capital accounting in the U.S. Colorado River Basin: One Ecosystem, v. 10, e147848, 52 p., https://doi.org/10.3897/oneeco.10.e147848.","productDescription":"e147848, 52 p.","ipdsId":"IP-174023","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":491491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/oneeco.10.e147848","text":"Publisher Index Page"},{"id":491021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"U.S. Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.17764090281825,\n              35.12554291280361\n            ],\n            [\n              -115.22388348576852,\n              32.6714960288822\n            ],\n            [\n              -114.64523348546022,\n              32.6959720389348\n            ],\n            [\n              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0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":940694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahm, Katharine G.","contributorId":357078,"corporation":false,"usgs":false,"family":"Dahm","given":"Katharine G.","affiliations":[{"id":85322,"text":"Office of Natural Resources Revenue","active":true,"usgs":false}],"preferred":false,"id":940696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":940697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":940698,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270652,"text":"70270652 - 2025 - Adoption of non‐related goslings and intergenerational family cohesion among Greenland White‐fronted Geese (Anser albifrons flavirostris)","interactions":[],"lastModifiedDate":"2025-09-22T16:02:21.137379","indexId":"70270652","displayToPublicDate":"2025-06-16T08:51:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5306,"text":"International Journal of Avian Science ","active":true,"publicationSubtype":{"id":10}},"title":"Adoption of non‐related goslings and intergenerational family cohesion among Greenland White‐fronted Geese (Anser albifrons flavirostris)","docAbstract":"<p><span>Greenland White-fronted Geese&nbsp;</span><i>Anser albifrons flavirostris</i><span>&nbsp;exhibit prolonged parent–offspring and sibling–sibling associations, suggesting fitness advantages to such behaviour, so we used reduced representation genome sequence data to determine the degree to which marked flock members observed associating in apparent parent–offspring and sibling–sibling relationships in the field were genetically related. Among 50 bled, marked and released geese, we genetically identified members of 11 different family groups, confirming all observed male parent–offspring relationships as genetically predicted, but only 10 out of 12 (83%) possible female parent–offspring relationships (i.e. two offspring were not genetically related to the adult female in their family groups observed in the field); these two ‘adopted’ offspring were responsible for four (15%) of the cases where observed ‘siblings’ were not genetically related to other family-member first-winter birds with which they associated. One multigenerational family consisted of three genetically confirmed grandmother–mother–sibling offspring relationships, not previously reported in arctic-nesting geese, as well as one of the two ‘adopted’ first-winter geese.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.13427","usgsCitation":"Wilson, R.E., Sonsthagen, S.A., Walsh, A.J., and Fox, A.D., 2025, Adoption of non‐related goslings and intergenerational family cohesion among Greenland White‐fronted Geese (Anser albifrons flavirostris): International Journal of Avian Science , v. 167, no. 4, p. 1080-1088, https://doi.org/10.1111/ibi.13427.","productDescription":"9 p.","startPage":"1080","endPage":"1088","ipdsId":"IP-174546","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494530,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495044,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.13427","text":"Publisher Index Page"}],"country":"Ireland","otherGeospatial":"Wexford Slobs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -6.553981049791275,\n              52.35040040236751\n            ],\n            [\n              -6.553981049791275,\n              52.30553195975094\n            ],\n            [\n              -6.437262464425345,\n              52.30553195975094\n            ],\n            [\n              -6.437262464425345,\n              52.35040040236751\n            ],\n            [\n              -6.553981049791275,\n              52.35040040236751\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"167","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Robert E.","contributorId":360078,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","middleInitial":"E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":946771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Alyn J.","contributorId":360080,"corporation":false,"usgs":false,"family":"Walsh","given":"Alyn","middleInitial":"J.","affiliations":[{"id":85967,"text":"National Parks and Wildlife Service, Ireland","active":true,"usgs":false}],"preferred":false,"id":946773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fox, Anthony D.","contributorId":360082,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","middleInitial":"D.","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":946774,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70268224,"text":"70268224 - 2025 - Hydraulic connectivity and hydrochemistry influence microbial community structure in agriculturally-affected alluvial aquifers in the Midwestern United States","interactions":[],"lastModifiedDate":"2025-07-10T14:55:33.936187","indexId":"70268224","displayToPublicDate":"2025-06-12T09:53:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic connectivity and hydrochemistry influence microbial community structure in agriculturally-affected alluvial aquifers in the Midwestern United States","docAbstract":"<p><span>Alluvial aquifers can provide ecosystem services and drinking water, but much remains unknown about human effects on aquifer microbiomes. Therefore, we used amplicon sequencing and hydrochemical characterization to pair microbial communities with environmental conditions across 37 alluvial aquifer wells. The study region spanned eastern Iowa and southern Minnesota (USA) and contained a combination of drinking water and monitoring wells. In terms of microbial ecology, dominant phyla across the wells included Proteobacteria, Bacteroidota, Patescibacteria, Planctomycetota, and Nitrospirota. Tritium, an indicator of infiltration and surface water influence, was the highest correlated variable with the Shannon index (α-diversity) by the Spearman rank sum (ρ = 0.60) and one of only four significant environmental variables in the constrained correspondence analysis. We built random forest regression models to predict tritium concentrations from microbial family relative abundance (held-out testing coefficient of determination (</span><i>R</i><sup>2</sup><span>) = 0.77 and mean absolute percentage error = 7%) and interpreted the models with Shapley additive explanation values. The most important families for predicting tritium concentrations were&nbsp;</span><i>Nitrosopumilaceae</i><span>&nbsp;and&nbsp;</span><i>Methylomirabilaceae</i><span>. Upwelling methane could contribute to the unusual coupling of ammonia oxidation by&nbsp;</span><i>Nitrosopumilaceae</i><span>&nbsp;with simultaneous nitrite-dependent methane oxidation by&nbsp;</span><i>Methylomirabilaceae</i><span>. Taken together, we illuminate the relationship among hydrochemistry, hydraulic connectivity, and alluvial aquifer microbiomes.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c03155","usgsCitation":"Schroer, H., Markland, K.M., Ling, F., and Just, C.L., 2025, Hydraulic connectivity and hydrochemistry influence microbial community structure in agriculturally-affected alluvial aquifers in the Midwestern United States: Environmental Science and Technology, v. 59, no. 24, p. 12279-12291, https://doi.org/10.1021/acs.est.5c03155.","productDescription":"13 p.","startPage":"12279","endPage":"12291","ipdsId":"IP-169344","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":490912,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490985,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c03155","text":"Publisher Index Page"}],"country":"United States","state":"Iowa, Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.83164241356687,\n              40.76134763192243\n            ],\n            [\n              -91.10093521849011,\n              40.76936587633509\n            ],\n            [\n              -90.98444609847996,\n              41.11334070983898\n            ],\n            [\n              -91.07975626082516,\n              41.37610567914743\n            ],\n            [\n              -90.60321047132624,\n              41.542769354616865\n            ],\n            [\n              -90.25374320174629,\n              41.8669244399662\n            ],\n            [\n              -93.07065717548669,\n              43.93016784084011\n            ],\n            [\n              -93.73782127267788,\n              43.983536010475774\n            ],\n            [\n              -93.97079768432694,\n              42.314858946682534\n            ],\n            [\n              -93.85431056836552,\n              41.92210428808144\n            ],\n            [\n              -91.83164241356687,\n              40.76134763192243\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"24","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Schroer, Hunter","contributorId":356950,"corporation":false,"usgs":false,"family":"Schroer","given":"Hunter","affiliations":[{"id":85293,"text":"Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":940520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markland, Kendra M. 0000-0002-0276-8684 kmarkland@usgs.gov","orcid":"https://orcid.org/0000-0002-0276-8684","contributorId":306212,"corporation":false,"usgs":true,"family":"Markland","given":"Kendra","email":"kmarkland@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ling, Fangqiong","contributorId":356951,"corporation":false,"usgs":false,"family":"Ling","given":"Fangqiong","affiliations":[{"id":85296,"text":"Department of Energy, Environmental, & Chemical Engineering, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":940522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Just, Craig L.","contributorId":178037,"corporation":false,"usgs":false,"family":"Just","given":"Craig","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":940523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273217,"text":"70273217 - 2025 - Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast","interactions":[],"lastModifiedDate":"2025-12-22T15:27:13.439704","indexId":"70273217","displayToPublicDate":"2025-06-12T08:20:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>We use the Third Uniform California Earthquake Rupture Forecast Epidemic Type Aftershock Sequence model, which is fully time-dependent in terms of including spatiotemporal clustering, to evaluate the effects of the Poisson assumption and declustering algorithms on statewide loss exceedance curves. The model is simulation based, meaning it produces synthetic catalogs that exhibit realistic behavior with respect to aftershocks and multi-fault earthquakes. A Poisson version of the model was constructed by randomizing event times, and the influence of two declustering algorithms was examined as well. We demonstrate that the probability of one-or-more loss exceedances (occurrence exceedance probability) is greater for the Poisson model because it has fewer seismically quiet time windows. The discrepancy between dollar loss estimates with a given exceedance probability is up to a factor of 32% but varies depending on the loss threshold (the x-axis value) and the forecast duration (we examined a range between 24 h and 50 years, with the discrepancy for the latter being negligible). We discuss how the one-or-more loss exceedance metric is questionable because it ignores all but the maximum loss experienced in each timeframe. An alternative metric based on total aggregate loss in each time window (aggregate exceedance probability) was therefore also examined, for which the Poisson model again implies higher risk at intermediate losses but lower risk at higher losses (because large, triggered events now contribute to total aggregate losses for the fully time-dependent model). We also argue that declustering is not a scientifically justifiable way to deal with full time dependence, in agreement with a chorus from other recent studies. It is difficult to draw generally applicable conclusions from our study, in part because application specific details will likely be important, but our results highlight how full time dependence can be reckoned with once authoritative forecast models are made available.</span></span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930251340677","usgsCitation":"Field, E.H., Milner, K., and Porter, K.A., 2025, Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast: Earthquake Spectra, v. 41, no. 3, p. 1977-1997, https://doi.org/10.1177/87552930251340677.","productDescription":"21 p.","startPage":"1977","endPage":"1997","ipdsId":"IP-175972","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":497866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70267943,"text":"ofr20251023 - 2025 - Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2024 annual report","interactions":[],"lastModifiedDate":"2025-06-11T13:54:27.017089","indexId":"ofr20251023","displayToPublicDate":"2025-06-10T11:28:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1023","displayTitle":"Distribution, Abundance, and Breeding Activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2024 Annual Report","title":"Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2024 annual report","docAbstract":"<h1>Executive Summary</h1><p>The purpose of this report is to provide the Marine Corps with an annual summary of the distribution, abundance, and breeding activity of the endangered Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>; flycatcher) at Marine Corps Base Camp Pendleton (MCBCP or “Base”). Surveys for the flycatcher were conducted on Base between May 8 and July 24, 2024. All of MCBCP’s historically occupied riparian habitat (core survey area) was surveyed for flycatchers in 2024. None of the non-core survey areas were surveyed in 2024.</p><p>Three transient Willow Flycatchers of unknown subspecies were observed on two of the five drainages surveyed in 2024, the Santa Margarita River and San Mateo Creek. No Willow Flycatchers were detected at Fallbrook, Las Flores, or Pilgrim Creeks. Transients in 2024 occurred in riparian scrub habitat, dominated by mule fat (<i>Baccharis salicifolia</i>). Exotic vegetation, primarily poison hemlock (<i>Conium maculatum</i>), was present in all flycatcher locations. None of the transient flycatchers were banded.</p><p>In 2024, the resident Southwestern Willow Flycatcher population on Base consisted of one unpaired female occupying one territory in the Air Station breeding area along the Santa Margarita River. No territorial males were observed in 2024. The resident flycatcher territory was located in mixed willow riparian habitat, dominated by arroyo or red willow (<i>Salix lasiolepis</i> or <i>S. laevigata</i>). The female flycatcher was originally banded as a nestling in 2020 at MCBCP, making her 4 years old in 2024.</p><p>The resident female flycatcher returned to the same breeding area and territory she occupied in 2023. Nesting was initiated in late May and continued into early August. Three nesting attempts were documented; all were unsuccessful as a result of depredation and presumed infertile eggs. No instances of Brown-headed Cowbird (<i>Molothrus ater</i>) parasitism were observed. The flycatcher nests were placed in two native plants, sandbar willow (<i>S. exigua</i>) and stinging nettle (<i>Urtica dioica</i>).</p><p>Two measures were initiated in recent years to attract and retain breeding flycatchers on MCBCP: a conspecific attraction playback study (initiated in 2018) and an artificial seep study (initiated in 2019); both were repeated annually through 2024. The one resident flycatcher (female) detected in 2024 occupied a territory near an automated playback unit, and nested 5 meters from an artificial seep output.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251023","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2025, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2024 annual report: U.S. Geological Survey Open-File\nReport 2025–1023, 26 p., https://doi.org/10.3133/ofr20251023.","productDescription":"vi, 26 p.","onlineOnly":"Y","ipdsId":"IP-175198","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":490243,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1023/ofr20251023.XML"},{"id":490242,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1023/images"},{"id":490241,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251023/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1023"},{"id":490240,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1023/ofr20251023.pdf","text":"Report","size":"8.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1023"},{"id":490239,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1023/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Marine Corps Base Camp Pendleton","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.58338003323524,\n              33.45345643512407\n            ],\n            [\n              -117.60222726717006,\n              33.386233650795276\n            ],\n            [\n              -117.48331835489097,\n              33.30585564997955\n            ],\n            [\n              -117.39614054579035,\n              33.19810587550057\n            ],\n            [\n              -117.26283920032485,\n              33.29512730850755\n            ],\n            [\n              -117.24244991997723,\n              33.33051403790782\n            ],\n            [\n              -117.23302630300994,\n              33.410559433022755\n            ],\n            [\n              -117.4911309974352,\n              33.508615342567545\n            ],\n            [\n              -117.58338003323524,\n              33.45345643512407\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br>U.S. Geological Survey<br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Study Areas and Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li></ul>","publishedDate":"2025-06-10","noUsgsAuthors":false,"plainLanguageSummary":"<p><br data-mce-bogus=\"1\"></p>","publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Scarlett L. 0000-0001-7538-4860 showell@usgs.gov","orcid":"https://orcid.org/0000-0001-7538-4860","contributorId":140441,"corporation":false,"usgs":true,"family":"Howell","given":"Scarlett","email":"showell@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939733,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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