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,{"id":70261481,"text":"70261481 - 2024 - Middle-late Holocene paleolimnological changes in central Lake Tanganyika: Integrated evidence from the Kavala Island Ridge (Tanzania)","interactions":[],"lastModifiedDate":"2024-12-11T16:12:29.148441","indexId":"70261481","displayToPublicDate":"2024-06-10T09:00:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Middle-late Holocene paleolimnological changes in central Lake Tanganyika: Integrated evidence from the Kavala Island Ridge (Tanzania)","docAbstract":"<p><span>Middle and Late Holocene sediments have not been extensively sampled in Lake Tanganyika, and much remains unknown about the response of the Rift Valley’s largest lake to major environmental shifts during the Holocene, including the termination of the African Humid Period (AHP). Here, we present an integrated study (sedimentology, mineralogy, and geochemistry) of a radiocarbon-dated sediment core from the Kavala Island Ridge (KIR) that reveals paleoenvironmental variability in Lake Tanganyika since the Middle Holocene with decadal to centennial resolution. Massive blue-gray sandy silts represent sediments deposited during the terminal AHP (~5880–4640 cal yr BP), with detrital particle size, carbon concentrations, light stable isotopes, and mineralogy suggesting an influx of river-borne soil organic matter and weathered clay minerals to the lake at that time. Enhanced by the AHP’s warm and wet conditions, chemical weathering and erosion of Lake Tanganyika’s watershed appears to have promoted considerable nutrient recharge to the lake system. Following a relatively gradual termination of the AHP over the period from ~4640 cal yr BP to ~3680 cal yr BP, laminated and organic carbon-rich sediments began accumulating on the KIR. δ</span><sup>15</sup><span>N</span><sub>bulk</sub><span>, C/N, and hydrogen index data suggest high relative primary production from a mix of algae and cyanobacteria, most likely in response to nutrient availability in the water column under a cooler and seasonally dry climate from ~3680 to 1100 cal yr BP. Sediments deposited during the Common Era show considerable variability in magnetic susceptibility, total organic carbon content, carbon isotopes, and C/N, consistent with dynamic hydroclimate conditions that affected the depositional patterns, including substantial changes around the Medieval Climate Anomaly and Little Ice Age. Data from this study highlight the importance of sedimentary records to constrain boundary conditions in hydroclimate and nutrient flux that can inform long-term ecosystem response in Lake Tanganyika.</span></p>","language":"English","publisher":"Sage","doi":"10.1177/09596836241254475","usgsCitation":"Domingos-Luz, L., Soreghan, M.J., Rasbold, G., Ellis, G.S., Birdwell, J.E., Kimirei, I.A., Scholz, C., and McGlue, M., 2024, Middle-late Holocene paleolimnological changes in central Lake Tanganyika: Integrated evidence from the Kavala Island Ridge (Tanzania): The Holocene, v. 34, no. 9, p. 1167-1180, https://doi.org/10.1177/09596836241254475.","productDescription":"14 p.","startPage":"1167","endPage":"1180","ipdsId":"IP-158298","costCenters":[{"id":164,"text":"Central Energy Resources Science 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,{"id":70257513,"text":"70257513 - 2024 - Human activity drives establishment, but not invasion, of non-native plants on islands","interactions":[],"lastModifiedDate":"2024-09-06T14:50:40.411326","indexId":"70257513","displayToPublicDate":"2024-06-10T07:40:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Human activity drives establishment, but not invasion, of non-native plants on islands","docAbstract":"<p>Island ecosystems are particularly susceptible to the impacts of invasive species. Many rare and endangered species that are endemic to islands are negatively affected by invasions. Past studies have shown that the establishment of non-native species on islands is related to native plant richness, habitat heterogeneity, island age, human activity, and climate. However, it is unclear whether the factors promoting establishment (i.e. the formation of self-sustaining populations) also promote subsequent invasion (i.e. spread and negative impacts). Using data from 4308 non-native plant species across 46 islands and archipelagos globally, we examined which biogeographic characteristics influence established and invasive plant richness using generalized linear models nested within piecewise structural equation models. Our results indicate that anthropogenic land use (i.e. human modification) is strongly associated with establishment but not invasion, that climate (maximum monthly temperature) is strongly associated with invasion but not establishment, and that habitat heterogeneity (represented by maximum elevation and island area) is strongly associated with both establishment and invasion. Island isolation explains native plant richness well, but is not associated with established and invasive plant richness, likely due to anthropogenic introductions. We conclude that anthropogenic land use on islands is likely to be a proxy for the number of introductions (i.e. propagule pressure), which is more important for establishment than invasion. Conversely, islands with more diverse habitats and favorable (warm) climate conditions are likely to contain more available niche space (i.e. ‘vacant niches’) which create opportunities for both establishment and invasion. By evaluating multiple stages of the invasion process, we differentiate between the biogeographic characteristics that influence plant establishment (which does not necessarily lead to ecological impacts) versus those that influence subsequent plant invasion (which does lead to negative impacts).</p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.07379","usgsCitation":"Pfadenhauer, W.G., DiRenzo, G.V., and Bradley, B.A., 2024, Human activity drives establishment, but not invasion, of non-native plants on islands: Ecography, e07379, 14 p., https://doi.org/10.1111/ecog.07379.","productDescription":"e07379, 14 p.","ipdsId":"IP-159338","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439421,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.07379","text":"Publisher Index Page"},{"id":434944,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XES5OI","text":"USGS data release","linkHelpText":"Code for Human activity drives establishment, but not invasion, of non-native plants on islands"},{"id":433550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pfadenhauer, William G.","contributorId":343029,"corporation":false,"usgs":false,"family":"Pfadenhauer","given":"William","email":"","middleInitial":"G.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":910582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Bethany A.","contributorId":343032,"corporation":false,"usgs":false,"family":"Bradley","given":"Bethany","email":"","middleInitial":"A.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910583,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257875,"text":"70257875 - 2024 - Evolutionary ecology of masting: Mechanisms, models, and climate change","interactions":[],"lastModifiedDate":"2024-09-11T16:27:42.339891","indexId":"70257875","displayToPublicDate":"2024-06-10T07:10:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary ecology of masting: Mechanisms, models, and climate change","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div id=\"sp0055\">Many perennial plants show mast seeding, characterized by synchronous and highly variable reproduction across years. We propose a general model of masting, integrating proximate factors (environmental variation, weather cues, and resource budgets) with ultimate drivers (predator satiation and pollination efficiency). This general model shows how the relationships between masting and weather shape the diverse responses of species to climate warming, ranging from no change to lower interannual variation or reproductive failure. The role of environmental prediction as a masting driver is being reassessed; future studies need to estimate prediction accuracy and the benefits acquired. Since reproduction is central to plant adaptation to climate change, understanding how masting adapts to shifting environmental conditions is now a central question.</div></div></div>","language":"English","publisher":"Cell Press","doi":"10.1016/j.tree.2024.05.006","usgsCitation":"Bogdziewicz, M., Kelly, D., Ascoli, D., Caignard, T., Chianucci, F., Crone, E.E., Fleurot, E., Foest, J., Gratzer, G., Hagiwara, T., Han, Q., Journe, V., Keurinck, L., Kondrat, K., McClory, R., LaMontagne, J.M., Mundo, I.A., Nussbaumer, A., Oberklammer, I., Ohno, M., Pearse, I., Pesendorfer, M.B., Resente, G., Satake, A., Shibata, M., Snell, R., Szymkowiak, J., Touzot, L., Zwolak, R., Zywiec, M., and Hacket-Pain, A., 2024, Evolutionary ecology of masting: Mechanisms, models, and climate change: Trends in Ecology and Evolution, v. 39, no. 9, p. 851-862, https://doi.org/10.1016/j.tree.2024.05.006.","productDescription":"12 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Giulia","contributorId":343764,"corporation":false,"usgs":false,"family":"Resente","given":"Giulia","email":"","affiliations":[{"id":82181,"text":"U Torino","active":true,"usgs":false}],"preferred":false,"id":911918,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Satake, Akiko","contributorId":343765,"corporation":false,"usgs":false,"family":"Satake","given":"Akiko","email":"","affiliations":[{"id":82188,"text":"Kyushu U","active":true,"usgs":false}],"preferred":false,"id":911919,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Shibata, Mitsue","contributorId":343766,"corporation":false,"usgs":false,"family":"Shibata","given":"Mitsue","email":"","affiliations":[{"id":82189,"text":"Tsukuba Inst. 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,{"id":70254998,"text":"70254998 - 2024 - Microbial diversity, genomics, and phage–host interactions of cyanobacterial harmful algal blooms","interactions":[],"lastModifiedDate":"2024-07-30T14:41:24.505824","indexId":"70254998","displayToPublicDate":"2024-06-10T07:00:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17805,"text":"mSystems","active":true,"publicationSubtype":{"id":10}},"title":"Microbial diversity, genomics, and phage–host interactions of cyanobacterial harmful algal blooms","docAbstract":"<div>The occurrence of cyanobacterial harmful algal blooms (cyanoHABs) is related to their physical and chemical environment. However, less is known about their associated microbial interactions and processes. In this study, cyanoHABs were analyzed as a microbial ecosystem, using 1 year of 16S rRNA sequencing and 70 metagenomes collected during the bloom season from Lake Okeechobee (Florida, USA). Biogeographical patterns observed in microbial community composition and function reflected ecological zones distinct in their physical and chemical parameters that resulted in bloom “hotspots” near major lake inflows. Changes in relative abundances of taxa within multiple phyla followed increasing bloom severity. Functional pathways that correlated with increasing bloom severity encoded organic nitrogen and phosphorus utilization, storage of nutrients, exchange of genetic material, phage defense, and protection against oxidative stress, suggesting that microbial interactions may promote cyanoHAB resilience. Cyanobacterial communities were highly diverse, with picocyanobacteria ubiquitous and oftentimes most abundant, especially in the absence of blooms. The identification of novel bloom-forming cyanobacteria and genomic comparisons indicated a functionally diverse cyanobacterial community with differences in its capability to store nitrogen using cyanophycin and to defend against phage using CRISPR and restriction-modification systems. Considering blooms in the context of a microbial ecosystem and their interactions in nature, physiologies and interactions supporting the proliferation and stability of cyanoHABs are proposed, including a role for phage infection of picocyanobacteria. This study displayed the power of “-omics” to reveal important biological processes that could support the effective management and prediction of cyanoHABs.</div>","language":"English","publisher":"American Society of Microbiology","doi":"10.1128/msystems.00709-23","usgsCitation":"Krausfeldt, L.E., Shmakova, E., Lee, H.W., Mazzei, V., Loftin, K.A., Smith, R.P., Karwacki, E.E., Fortman, E., Rosen, B., Urakawa, H., Dadlani, M., Colwell, R., and Lopez, J.V., 2024, Microbial diversity, genomics, and phage–host interactions of cyanobacterial harmful algal blooms: mSystems, v. 9, e00709-23, 22 p., https://doi.org/10.1128/msystems.00709-23.","productDescription":"e00709-23, 22 p.","ipdsId":"IP-137507","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":439425,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/msystems.00709-23","text":"Publisher Index Page"},{"id":429857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.68337604044697,\n              27.150306342921894\n            ],\n            [\n              -80.7889121820285,\n              27.232426579751007\n            ],\n            [\n              -80.87468223041041,\n              27.17767425182192\n            ],\n            [\n              -80.91647814368228,\n              27.075972376963264\n            ],\n            [\n              -80.97473399008281,\n              27.011706236971804\n            ],\n            [\n              -81.10334845265909,\n              26.98269751452652\n            ],\n            [\n              -81.03627801399517,\n              26.859646825412312\n            ],\n            [\n              -80.98020110910899,\n              26.876079219655168\n            ],\n            [\n              -80.94612126645805,\n              26.739619813521237\n            ],\n            [\n              -80.7751718722469,\n              26.677277283819738\n            ],\n            [\n              -80.70508812243044,\n              26.6775251924223\n            ],\n            [\n              -80.65699144016853,\n              26.807407200263796\n            ],\n            [\n              -80.58443568355749,\n              26.91003842672214\n            ],\n            [\n              -80.68337604044697,\n              27.150306342921894\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Krausfeldt, Lauren E 0000-0001-7405-427X","orcid":"https://orcid.org/0000-0001-7405-427X","contributorId":338239,"corporation":false,"usgs":false,"family":"Krausfeldt","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":81098,"text":"Department of Biological Sciences, Nova Southeastern University, Dania Beach, FL","active":true,"usgs":false}],"preferred":false,"id":903038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shmakova, Elizaveta","contributorId":338240,"corporation":false,"usgs":false,"family":"Shmakova","given":"Elizaveta","email":"","affiliations":[{"id":81098,"text":"Department of Biological Sciences, Nova Southeastern University, Dania Beach, FL","active":true,"usgs":false}],"preferred":false,"id":903039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Hyo Won","contributorId":292184,"corporation":false,"usgs":false,"family":"Lee","given":"Hyo","email":"","middleInitial":"Won","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":903040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzei, Viviana 0000-0002-6416-5096 vmazzei@usgs.gov","orcid":"https://orcid.org/0000-0002-6416-5096","contributorId":338241,"corporation":false,"usgs":true,"family":"Mazzei","given":"Viviana","email":"vmazzei@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":903041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":903042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Robert P 0000-0003-2744-7390","orcid":"https://orcid.org/0000-0003-2744-7390","contributorId":338242,"corporation":false,"usgs":false,"family":"Smith","given":"Robert","email":"","middleInitial":"P","affiliations":[{"id":81098,"text":"Department of Biological Sciences, Nova Southeastern University, Dania Beach, FL","active":true,"usgs":false}],"preferred":false,"id":903043,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Karwacki, Emily E. 0000-0001-7276-8113","orcid":"https://orcid.org/0000-0001-7276-8113","contributorId":338243,"corporation":false,"usgs":false,"family":"Karwacki","given":"Emily","email":"","middleInitial":"E.","affiliations":[{"id":81101,"text":"Former USGS Caribbean-Florida Water Science Center","active":true,"usgs":false}],"preferred":false,"id":903044,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fortman, Eric 0000-0002-0659-0449","orcid":"https://orcid.org/0000-0002-0659-0449","contributorId":338244,"corporation":false,"usgs":false,"family":"Fortman","given":"Eric","email":"","affiliations":[{"id":81098,"text":"Department of Biological Sciences, Nova Southeastern University, Dania Beach, FL","active":true,"usgs":false}],"preferred":false,"id":903045,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rosen, B.H. 0000-0002-8016-3939","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":334678,"corporation":false,"usgs":false,"family":"Rosen","given":"B.H.","affiliations":[{"id":40458,"text":"Florida Gulf Coast University","active":true,"usgs":false}],"preferred":false,"id":903046,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Urakawa, Hidetoshi 0000-0003-3748-6027","orcid":"https://orcid.org/0000-0003-3748-6027","contributorId":338245,"corporation":false,"usgs":false,"family":"Urakawa","given":"Hidetoshi","email":"","affiliations":[{"id":81102,"text":"Department of Ecology and Environmental Studies, Florida Gulf Coast University, Fort Myers, FL","active":true,"usgs":false}],"preferred":false,"id":903047,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dadlani, Manoj 0000-0002-8223-7006","orcid":"https://orcid.org/0000-0002-8223-7006","contributorId":338246,"corporation":false,"usgs":false,"family":"Dadlani","given":"Manoj","email":"","affiliations":[{"id":81103,"text":"CosmosID, Rockville, MD","active":true,"usgs":false}],"preferred":false,"id":903048,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Colwell, Rita 0000-0001-5432-1502","orcid":"https://orcid.org/0000-0001-5432-1502","contributorId":338247,"corporation":false,"usgs":false,"family":"Colwell","given":"Rita","email":"","affiliations":[{"id":81104,"text":"Institute for Advanced Computer Studies, University of Maryland College Park","active":true,"usgs":false}],"preferred":false,"id":903049,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lopez, Jose V 0000-0002-1637-4125","orcid":"https://orcid.org/0000-0002-1637-4125","contributorId":338248,"corporation":false,"usgs":false,"family":"Lopez","given":"Jose","email":"","middleInitial":"V","affiliations":[{"id":81098,"text":"Department of Biological Sciences, Nova Southeastern University, Dania Beach, FL","active":true,"usgs":false}],"preferred":false,"id":903050,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70255585,"text":"70255585 - 2024 - Egg mercury concentration and egg size varies with position in the laying sequence in two songbird species","interactions":[],"lastModifiedDate":"2024-07-30T14:42:44.808525","indexId":"70255585","displayToPublicDate":"2024-06-10T06:36:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Egg mercury concentration and egg size varies with position in the laying sequence in two songbird species","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>In birds, mercury embryotoxicity can occur through the transfer of mercury from the female to her eggs. Maternal transfer of mercury can vary by egg position in the laying sequence, with first-laid eggs often exhibiting greater mercury concentrations than subsequently laid eggs. We studied egg mercury concentration, mercury burden (total amount of mercury in the egg), and egg morphometrics by egg position in the laying sequence for two songbirds: tree swallows (<i>Tachycineta bicolor</i>) and house wrens (<i>Troglodytes aedon</i>). Egg mercury concentration in the second egg laid was 14% lower for tree swallows and 6% lower for house wrens in comparison with the first egg laid. These results indicate that in both species, after an initial relatively high transfer of mercury into the first egg laid, a smaller amount of mercury was transferred to the second egg laid. This lower mercury concentration persisted among all subsequently laid eggs (eggs three to eight) in tree swallows (all were 14%–16% lower than egg 1), but mercury concentrations in subsequently laid house wren eggs (eggs three to seven) returned to levels observed in the first egg laid (all were 1% lower to 3% greater than egg 1). Egg size increased with position in the laying sequence in both species; the predicted volume of egg 7 was 5% and 6% greater than that of egg 1 in tree swallows and house wrens, respectively. This change was caused by a significant increase in egg width, but not egg length, with position in the laying sequence. The percentage of decline in mercury concentration with position in the laying sequence was considerably lower in tree swallows and house wrens compared with other bird taxonomic groups, suggesting that there are key differences in the maternal transfer of mercury into songbird eggs compared with other birds. Finally, we performed simulations to evaluate how within-clutch variation in egg mercury concentrations affected estimates of mean mercury concentrations in each clutch and the overall sampled population, which has direct implications for sampling designs.<span>&nbsp;</span><i>Environ Toxicol Chem</i><span>&nbsp;</span>2024;00:1–11. Published 2024. This article is a U.S. Government work and is in the public domain in the USA.</p></div></div>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5900","usgsCitation":"Hartman, C.A., Ackerman, J.T., Cooney, B., and Herzog, M.P., 2024, Egg mercury concentration and egg size varies with position in the laying sequence in two songbird species: Environmental Toxicology and Chemistry, v. 43, no. 8, p. 1844-1854, https://doi.org/10.1002/etc.5900.","productDescription":"11 p.","startPage":"1844","endPage":"1854","ipdsId":"IP-162632","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":434945,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13KJTWX","text":"USGS data release","linkHelpText":"Egg Mercury Concentration and Egg Size in Two Songbird Species"},{"id":430494,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":904832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":904833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooney, Breanne","contributorId":336703,"corporation":false,"usgs":false,"family":"Cooney","given":"Breanne","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":904834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":904835,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255314,"text":"70255314 - 2024 - Climate change scenarios for air and water temperatures in the upper San Francisco Estuary: Implications for thermal regimes and Delta Smelt","interactions":[],"lastModifiedDate":"2024-06-17T11:31:00.075621","indexId":"70255314","displayToPublicDate":"2024-06-10T06:28:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Climate change scenarios for air and water temperatures in the upper San Francisco Estuary: Implications for thermal regimes and Delta Smelt","docAbstract":"<div id=\"main\"><div data-reactroot=\"\"><div class=\"body\"><div><div class=\"c-columns--sticky-sidebar\"><div class=\"c-tabs\"><div class=\"c-tabs__content\"><div class=\"c-tabcontent\"><div class=\"c-clientmarkup\"><p>Climate projections and their effects in the San Francisco Estuary have been evaluated as part of the US Geological Survey’s CASCaDE2 project. Understanding the ecological effects of climate change can help manage and maintain the ecological health and productivity of the San Francisco Estuary. In this study, we assessed downscaled air temperature data from 10 global climate models (GCMs) under two representative concentration pathway (RCP) trajectories for greenhouse gas concentrations for three regions of the San Francisco Estuary: Sacramento–San Joaquin Delta, Suisun and Grizzly bays, and Suisun Marsh. We also used previously derived regression models to estimate future water temperatures at 16 locations in the upper San Francisco Estuary. We used a thermal regime approach to summarize water temperature projections to investigate changes to the thermal regime of the upper San Francisco Estuary, and used the Delta Smelt (Hypomesus transpacificus) to demonstrate the effects that a warming climate may have on the habitat needs of this fish species. Our results suggested there were no major differences in the extent of air-temperature warming among the three regions. Annual average air temperatures were projected to increase approximately 2.0&nbsp;°C and 4.7&nbsp;°C by the end of the century for the low and high RCP scenarios, respectively. We found timing, frequency, and magnitude metrics varied by period and RCP scenario, while duration and variability metrics varied by space for water-temperature thermal regimes. For example, the spawning window for Delta Smelt (thermal-regime duration metric) is projected to expand in the future, with spawning starting earlier for both RCP scenarios for most sites. Although our thermal-regime analysis focused on the life history of Delta Smelt, similar approaches could be used to assess climate-change threats to a wide array of native and invasive terrestrial and aquatic species found in San Francisco Estuary.</p></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"University of California","doi":"10.15447/sfews.2024v22iss2art1","usgsCitation":"Huntsman, B., Brown, L., Wulff, M.L., Knowles, N., Wagner, R.W., and Feyrer, F.V., 2024, Climate change scenarios for air and water temperatures in the upper San Francisco Estuary: Implications for thermal regimes and Delta Smelt: San Francisco Estuary and Watershed Science, v. 22, no. 2, 1,  20 p., https://doi.org/10.15447/sfews.2024v22iss2art1.","productDescription":"1,  20 p.","ipdsId":"IP-150367","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":439428,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.15447/sfews.2024v22iss2art1","text":"External Repository"},{"id":430258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Upper San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.23341526489008,\n              38.45680925700657\n            ],\n            [\n              -122.23341526489008,\n              37.84518324377974\n            ],\n            [\n              -121.35648935265567,\n              37.84518324377974\n            ],\n            [\n              -121.35648935265567,\n              38.45680925700657\n            ],\n            [\n              -122.23341526489008,\n              38.45680925700657\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0003-2272-554X","orcid":"https://orcid.org/0000-0003-2272-554X","contributorId":303111,"corporation":false,"usgs":false,"family":"Brown","given":"Larry R.","affiliations":[{"id":65665,"text":"USGS - deceased","active":true,"usgs":false}],"preferred":false,"id":904261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulff, Marissa L. 0000-0003-0121-9066","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":229534,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knowles, Noah 0000-0001-5652-1049","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":206338,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":904263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, R. Wayne","contributorId":339439,"corporation":false,"usgs":false,"family":"Wagner","given":"R.","email":"","middleInitial":"Wayne","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":904264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904265,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257113,"text":"70257113 - 2024 - A circumpolar study unveils a positive non-linear effect of temperature on arctic arthropod availability that may reduce the risk of warming-induced trophic mismatch for breeding shorebirds","interactions":[],"lastModifiedDate":"2024-08-09T16:05:02.588574","indexId":"70257113","displayToPublicDate":"2024-06-09T10:33:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A circumpolar study unveils a positive non-linear effect of temperature on arctic arthropod availability that may reduce the risk of warming-induced trophic mismatch for breeding shorebirds","docAbstract":"<p><span>Seasonally abundant arthropods are a crucial food source for many migratory birds that breed in the Arctic. In cold environments, the growth and emergence of arthropods are particularly tied to temperature. Thus, the phenology of arthropods is anticipated to undergo a rapid change in response to a warming climate, potentially leading to a trophic mismatch between migratory insectivorous birds and their prey. Using data from 19 sites spanning a wide temperature gradient from the Subarctic to the High Arctic, we investigated the effects of temperature on the phenology and biomass of arthropods available to shorebirds during their short breeding season at high latitudes. We hypothesized that prolonged exposure to warmer summer temperatures would generate earlier peaks in arthropod biomass, as well as higher peak and seasonal biomass. Across the temperature gradient encompassed by our study sites (&gt;10°C in average summer temperatures), we found a 3-day shift in average peak date for every increment of 80 cumulative thawing degree-days. Interestingly, we found a linear relationship between temperature and arthropod biomass only below temperature thresholds. Higher temperatures were associated with higher peak and seasonal biomass below 106 and 177 cumulative thawing degree-days, respectively, between June 5 and July 15. Beyond these thresholds, no relationship was observed between temperature and arthropod biomass. Our results suggest that prolonged exposure to elevated temperatures can positively influence prey availability for some arctic birds. This positive effect could, in part, stem from changes in arthropod assemblages and may reduce the risk of trophic mismatch.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17356","usgsCitation":"Chagnon-Lafortune, A., Duchesne, E., Legagneux, P., McKinnon, L., Reneerkens, J., Casajus, N., Abraham, K.F., Bolduc, E., Brown, G.S., Brown, S.C., Gates, H.R., Gilg, O., Giroux, M., Gurney, K., Kendall, S., Kwon, E., Lanctot, R., Lank, D.B., Lecomte, N., Leung, M., Liebezeit, J., Morrison, R., Nol, E., Payer, D.C., Reid, D., Ruthrauff, D.R., Saalfeld, S.T., Sandercock, B., Smith, P., Schmidt, N.M., Tulp, I., Ward, D.H., Hoye, T.T., Berteaux, D., and Bety, J., 2024, A circumpolar study unveils a positive non-linear effect of temperature on arctic arthropod availability that may reduce the risk of warming-induced trophic mismatch for breeding shorebirds: Global Change Biology, v. 30, no. 6, e17356, 17 p., https://doi.org/10.1111/gcb.17356.","productDescription":"e17356, 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,{"id":70264776,"text":"70264776 - 2024 - Complex patterns of genetic population structure in the mouthbrooding marine catfish, Bagre marinus, in the Gulf of Mexico and U.S. Atlantic","interactions":[],"lastModifiedDate":"2025-03-24T15:33:59.340263","indexId":"70264776","displayToPublicDate":"2024-06-09T08:28:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Complex patterns of genetic population structure in the mouthbrooding marine catfish, Bagre marinus, in the Gulf of Mexico and U.S. Atlantic","docAbstract":"<p><span>Patterns of genetic variation reflect interactions among microevolutionary forces that vary in strength with changing demography. Here, patterns of variation within and among samples of the mouthbrooding gafftopsail catfish (</span><i>Bagre marinus</i><span>, Family Ariidae) captured in the U.S. Atlantic and throughout the Gulf of Mexico were analyzed using genomics to generate neutral and non-neutral SNP data sets. Because genomic resources are lacking for ariids, linkage disequilibrium network analysis was used to examine patterns of putatively adaptive variation. Finally, historical demographic parameters were estimated from site frequency spectra. The results show four differentiated groups, corresponding to the (1) U.S. Atlantic, and the (2) northeastern, (3) northwestern, and (4) southern Gulf of Mexico. The non-neutral data presented two contrasting signals of structure, one due to increases in diversity moving west to east and north to south, and another to increased heterozygosity in the Atlantic. Demographic analysis suggested that recently reduced long-term effective population size in the Atlantic is likely an important driver of patterns of genetic variation and is consistent with a known reduction in population size potentially due to an epizootic. Overall, patterns of genetic variation resemble that of other fishes that use the same estuarine habitats as nurseries, regardless of the presence/absence of a larval phase, supporting the idea that adult/juvenile behavior and habitat are important predictors of contemporary patterns of genetic structure.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11514","usgsCitation":"Portnoy, D., O’Leary, S., Fields, A., Hollenbeck, C., Grubbs, D., Peterson, C.T., Gardiner, J.M., Adams, D.H., Falterman, B.J., Drymon, M., Higgs, J., Pulster, E.L., Wiley, T.R., and Murawski, S.A., 2024, Complex patterns of genetic population structure in the mouthbrooding marine catfish, Bagre marinus, in the Gulf of Mexico and U.S. Atlantic: Ecology and Evolution, v. 14, no. 6, e11514, 17 p., https://doi.org/10.1002/ece3.11514.","productDescription":"e11514, 17 p.","ipdsId":"IP-154769","costCenters":[{"id":192,"text":"Columbia Environmental Research 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,{"id":70261268,"text":"70261268 - 2024 - Time varying crustal anisotropy at Whakaari/White Island volcano","interactions":[],"lastModifiedDate":"2024-12-04T15:41:33.19052","indexId":"70261268","displayToPublicDate":"2024-06-08T08:32:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Time varying crustal anisotropy at Whakaari/White Island volcano","docAbstract":"<p>Whakaari/White Island has been the most active New Zealand volcano in the 21st century, producing small phreatic and phreatomagmatic eruptions, which are hard to predict. The most recent eruption occurred in 2019, tragically claiming the lives of 22 individuals and causing numerous injuries. We employed shear-wave splitting analyses to investigate variations in anisotropy during quiescence, unrest, and an eruption between 2018 and 2020. We examined spatial and temporal variations in 7972 shear-wave splitting measurements and derived 1402 <i>V<sub>p</sub>/IV<sub>s</sub></i> ratio measurements. Comparing shear-wave splitting parameters from similar earthquake paths across different times indicates that the observed temporal changes are unlikely to result from variations in earthquake paths through media with spatial variability. Instead, these changes may stem from variations in anisotropy over time, likely caused by changes in crack alignment due to stress or varying fluid content.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2023GL106473","usgsCitation":"Mengesha, D., Savage, M., Jolly, A., and Ebinger, C., 2024, Time varying crustal anisotropy at Whakaari/White Island volcano: Geophysical Research Letters, v. 51, no. 11, e2023GL106473, 11 p., https://doi.org/10.1029/2023GL106473.","productDescription":"e2023GL106473, 11 p.","ipdsId":"IP-157058","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466998,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl106473","text":"Publisher Index Page"},{"id":464753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Whakaari/White Island volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              177.16503511596648,\n              -37.50592081728055\n            ],\n            [\n              177.16503511596648,\n              -37.53187851005523\n            ],\n            [\n              177.19927642935403,\n              -37.53187851005523\n            ],\n            [\n              177.19927642935403,\n              -37.50592081728055\n            ],\n            [\n              177.16503511596648,\n              -37.50592081728055\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Mengesha, D.M.","contributorId":346898,"corporation":false,"usgs":false,"family":"Mengesha","given":"D.M.","email":"","affiliations":[{"id":56217,"text":"Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":920163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savage, M.K.","contributorId":346899,"corporation":false,"usgs":false,"family":"Savage","given":"M.K.","affiliations":[{"id":56217,"text":"Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":920164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jolly, A.D. 0000-0003-1020-9062","orcid":"https://orcid.org/0000-0003-1020-9062","contributorId":296487,"corporation":false,"usgs":true,"family":"Jolly","given":"A.D.","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebinger, C.J.","contributorId":346900,"corporation":false,"usgs":false,"family":"Ebinger","given":"C.J.","email":"","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":920166,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265058,"text":"70265058 - 2024 - Comparing subduction ground-motion models to observations for Cascadia","interactions":[],"lastModifiedDate":"2025-04-01T15:25:03.594954","indexId":"70265058","displayToPublicDate":"2024-06-07T10:20:48","publicationYear":"2024","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":"Comparing subduction ground-motion models to observations for Cascadia","docAbstract":"<p><span>We evaluate Cascadia subduction ground-motion models (GMMs), considered for the 2023 US National Seismic Hazard Model (NSHM) update, by comparing observations to model predictions. The observations comprise regional recordings from intraslab earthquakes, including contributions from 2021 and 2022 events in southern Cascadia and global records from interface earthquakes. Since the 2018 NSHM update, new GMMs for Cascadia have been published by the Next Generation Attenuation (NGA)-Subduction Project that require independent evaluation. In the regional intraslab comparisons, we highlight a characteristic frequency dependence for Cascadia data, with short periods having lower ground motions and longer periods being comparable to other subduction zones. We evaluate differences in northern and southern Cascadia and find that the NGA-Subduction GMMs developed using southern Cascadia data perform better in this region than the model that did not consider these data. We compare ground-motion variability in Cascadia with the NGA-Subduction model predictions and find differences at short periods (</span><i>T</i><span> = 0.1 s) due to the use of global versus regional data in the development of these models. Moreover, the within-event component of aleatory variability from the GMMs overpredicts the standard deviation of Cascadia recordings at very short periods (</span><i>T</i><span> &lt; 0.05 s). Using global interface earthquakes as a proxy to evaluate the Cascadia GMMs, we find long-period overprediction from a simulation-based GMM and some of the empirical GMMs. When comparing recent observations, we find a similar misfit to GMMs and the 2010 and 2022 Ferndale earthquakes. Finally, we observe different basin amplification factors arising in different subsets of the data, which indicate that differences in basin factors between empirical GMMs could arise from the data selection choices by the developers. As part of evaluating the regional basin terms, we apply basin amplification factors from the magnitude 9 Cascadia earthquake simulations to the empirical GMMs for interface earthquakes. The comparisons presented in this study indicate that the NGA-Subduction GMMs for Cascadia perform well relative to observations and older subduction GMMs.</span></p>","language":"English","publisher":"Sage Journals","doi":"10.1177/87552930241256673","usgsCitation":"Smith, J.A., Moschetti, M.P., and Thompson, E.M., 2024, Comparing subduction ground-motion models to observations for Cascadia: Earthquake Spectra, v. 40, no. 3, p. 1787-1817, https://doi.org/10.1177/87552930241256673.","productDescription":"31 p.","startPage":"1787","endPage":"1817","ipdsId":"IP-159689","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":488672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/87552930241256673","text":"Publisher Index Page"},{"id":484070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -128,\n              50\n            ],\n            [\n              -128,\n              40\n            ],\n            [\n              -120,\n              40\n            ],\n            [\n              -120,\n              50\n            ],\n            [\n              -128,\n              50\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, James Andrew 0000-0002-5565-9254 jimsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-9254","contributorId":332933,"corporation":false,"usgs":true,"family":"Smith","given":"James","email":"jimsmith@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":932437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932439,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70254846,"text":"70254846 - 2024 - Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams","interactions":[],"lastModifiedDate":"2024-06-10T15:03:47.13455","indexId":"70254846","displayToPublicDate":"2024-06-07T09:58:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams","docAbstract":"<p><span>Headwater stream temperature often exhibits spatial variation at the kilometer-scale, but the relative importance of the underlying hydrogeological processes and riverine perturbations remains poorly understood. In this study, we investigated the relative importance of groundwater (GW) and other processes on downstream annual stream temperature signal characteristics using deterministic heat budget model (HFLUX) scenarios within an idealized stream reach representative of mountainous forested conditions. We summarized annual stream thermal regimes from the relationship of paired sinusoidal air and water temperature signals (amplitude ratio, phase lag, and mean ratio). Results showed that downstream changes in annual temperature depended on the thermal gradient between water and the hypothetical equilibrium temperature (where all heat fluxes sum to zero). GW inflow, riparian shading, and the boundary input signal were the most significant factors affecting downstream annual water temperature signals, while flow volume and channel dimensions impacted how quickly annual temperature signals changed. Effects of GW were dominated by advective rather than conductive heat exchange processes, but conduction played a larger role when GW input was more spatially diffuse. Our results indicated several mechanisms by which local processes may affect stream thermal resilience to disturbances and can help guide management of wildfire and climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.131391","usgsCitation":"Johnson, Z., Briggs, M., Snyder, C.D., Johnson, B.G., and Hitt, N.P., 2024, Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams: Journal of Hydrology, v. 638, 131391, 18 p., https://doi.org/10.1016/j.jhydrol.2024.131391.","productDescription":"131391, 18 p.","ipdsId":"IP-117590","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":497980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.131391","text":"Publisher Index Page"},{"id":429755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"638","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Zachary 0000-0002-0149-5223 zjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":190399,"corporation":false,"usgs":true,"family":"Johnson","given":"Zachary","email":"zjohnson@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":902704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":902705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":902706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Brittany G. 0000-0002-8837-997X bdjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8837-997X","contributorId":245863,"corporation":false,"usgs":false,"family":"Johnson","given":"Brittany","email":"bdjohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":902707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":902708,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70254862,"text":"70254862 - 2024 - Rainfall intensification amplifies exposure of American Southwest to conditions that trigger postfire debris flows","interactions":[],"lastModifiedDate":"2024-06-10T14:56:12.774391","indexId":"70254862","displayToPublicDate":"2024-06-07T09:49:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17801,"text":"npj Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall intensification amplifies exposure of American Southwest to conditions that trigger postfire debris flows","docAbstract":"<p><span>Short-duration, high-intensity rainfall can initiate deadly and destructive debris flows after wildfire. Methods to estimate the conditions that can trigger debris flows exist and guidance to determine how often those thresholds will be exceeded under the present climate are available. However, the limited spatiotemporal resolution of climate models has hampered efforts to characterize how rainfall intensification driven by global warming may affect debris-flow hazards. We use novel, dynamically downscaled (3.75-km), convection-permitting simulations of short-duration (15-min) rainfall to evaluate threshold exceedance for late 21st-century climate scenarios in the American Southwest. We observe significant increases in the frequency and magnitude of exceedances for regions dominated by cool- and warm-season rainfall. We also observe an increased frequency of exceedance in regions where postfire debris flows have not been documented, and communities are unaccustomed to the hazard. Our findings can inform planning efforts to increase resiliency to debris flows under a changing climate.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s44304-024-00017-8","usgsCitation":"Thomas, M.A., Michaelis, A.C., Oakley, N.S., Kean, J.W., Gensini, V.A., and Ashley, W.S., 2024, Rainfall intensification amplifies exposure of American Southwest to conditions that trigger postfire debris flows: npj Natural Hazards, v. 1, 14, 10 p., https://doi.org/10.1038/s44304-024-00017-8.","productDescription":"14, 10 p.","ipdsId":"IP-158577","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":439433,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s44304-024-00017-8","text":"Publisher Index Page"},{"id":429753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70255568,"text":"70255568 - 2024 - Systematic assessment of long-read RNA-seq methods for transcript identification and quantification","interactions":[],"lastModifiedDate":"2024-07-15T15:41:02.429694","indexId":"70255568","displayToPublicDate":"2024-06-07T09:20:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17980,"text":"Nature Methods","active":true,"publicationSubtype":{"id":10}},"title":"Systematic assessment of long-read RNA-seq methods for transcript identification and quantification","docAbstract":"<p><span>The Long-read RNA-Seq Genome Annotation Assessment Project Consortium was formed to evaluate the effectiveness of long-read approaches for transcriptome analysis. Using different protocols and sequencing platforms, the consortium generated over 427 million long-read sequences from complementary DNA and direct RNA datasets, encompassing human, mouse and manatee species. Developers utilized these data to address challenges in transcript isoform detection, quantification and de novo transcript detection. The study revealed that libraries with longer, more accurate sequences produce more accurate transcripts than those with increased read depth, whereas greater read depth improved quantification accuracy. In well-annotated genomes, tools based on reference sequences demonstrated the best performance. Incorporating additional orthogonal data and replicate samples is advised when aiming to detect rare and novel transcripts or using reference-free approaches. This collaborative study offers a benchmark for current practices and provides direction for future method development in transcriptome analysis.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41592-024-02298-3","usgsCitation":"Pardo-Palacios, F.J., Wang, D., Reese, F., Diekhans, M., Carbonell-Sala, S., Williams, B., Loveland, J.E., De María, M., Adams, M.S., Balderrama-Gutierrez, G., Behera, A.K., Gonzalez Martinez, J.M., Hunt, T., Lagarde, J., Liang, C.E., Li, H., Meade, M.J., Moraga Amador, D.A., Prjibelski, A.D., Birol, I., Bostan, H., Brooks, A.M., Celik, M.H., Chen, Y., Du, M.R., Felton, C., Goke, J., Hafezqorani, S., Herwig, R., Kawaji, H., Lee, J., Li, J., Lienhard, M., Mikheenko, A., Mulligan, D., Nip, K.M., Pertea, M., Ritchie, M.E., Sim, A.D., Tang, A.D., Wan, Y.K., Wang, C., Wong, B.Y., Yang, C., Barnes, I., Berry, A.E., Capella-Gutierrez, S., Cousineau, A., Dhillon, N., Fernandez-Gonzalez, J.M., Ferrandez-Peral, L., Garcia-Reyero, N., Gotz, 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These deterministic scenarios can also be used to communicate seismic hazard and risk to audiences who are not well versed in methods, such as probabilistic seismic hazard analyses. Specifically, we discuss the scenarios developed, challenges, and lessons learned in the development process, and how this work aided the development of the 2023 NSHM itself. In total, 28 scenarios were developed for Hawaii, Utah, Alaska, and Virginia considering the 2023 NSHM science, past scenario efforts, and input from local experts and stakeholders. 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,{"id":70255139,"text":"70255139 - 2024 - Bornean Wren-Babbler Ptilocichla leucogrammica","interactions":[],"lastModifiedDate":"2024-06-12T13:50:19.585123","indexId":"70255139","displayToPublicDate":"2024-06-07T08:49:16","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"Bornean Wren-Babbler <i>Ptilocichla leucogrammica</i>","title":"Bornean Wren-Babbler Ptilocichla leucogrammica","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Birds of the World","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cornell Lab of Ornithology","doi":"10.2173/bow.bowbab1.01.1","usgsCitation":"Burner, R.C., Kirwan, G.M., Pyle, P., Collar, N.J., and Robson, C., 2024, Bornean Wren-Babbler Ptilocichla leucogrammica, chap. <i>of</i> Birds of the World, HTML Document, https://doi.org/10.2173/bow.bowbab1.01.1.","productDescription":"HTML Document","ipdsId":"IP-160781","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":430008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Version 1.2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":304152,"corporation":false,"usgs":true,"family":"Burner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":903518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Guy M.","contributorId":338739,"corporation":false,"usgs":false,"family":"Kirwan","given":"Guy","email":"","middleInitial":"M.","affiliations":[{"id":37250,"text":"Natural History Museum, London","active":true,"usgs":false}],"preferred":false,"id":903519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyle, Peter","contributorId":175192,"corporation":false,"usgs":false,"family":"Pyle","given":"Peter","email":"","affiliations":[],"preferred":false,"id":903520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collar, Nigel J.","contributorId":206322,"corporation":false,"usgs":false,"family":"Collar","given":"Nigel","email":"","middleInitial":"J.","affiliations":[{"id":37309,"text":"BirdLife International","active":true,"usgs":false}],"preferred":false,"id":903521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robson, Craig","contributorId":338741,"corporation":false,"usgs":false,"family":"Robson","given":"Craig","email":"","affiliations":[{"id":81196,"text":"Bird Quest, Norwich, England","active":true,"usgs":false}],"preferred":false,"id":903522,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70255137,"text":"70255137 - 2024 - Bare-headed Laughingthrush Melanocichla calva","interactions":[],"lastModifiedDate":"2024-06-12T13:46:32.329954","indexId":"70255137","displayToPublicDate":"2024-06-07T08:43:15","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"Bare-headed Laughingthrush <i>Melanocichla calva</i>","title":"Bare-headed Laughingthrush Melanocichla calva","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Birds of the world","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cornell Lab of Ornithology","doi":"10.2173/bow.bahlau1.01.2","usgsCitation":"Burner, R.C., Kirwan, G.M., Pyle, P., Collar, N.J., and Robson, C., 2024, Bare-headed Laughingthrush Melanocichla calva, chap. <i>of</i> Birds of the world, HTML Document, https://doi.org/10.2173/bow.bahlau1.01.2.","productDescription":"HTML Document","ipdsId":"IP-160820","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":430007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Version 1.2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":304152,"corporation":false,"usgs":true,"family":"Burner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":903512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Guy M.","contributorId":338739,"corporation":false,"usgs":false,"family":"Kirwan","given":"Guy","email":"","middleInitial":"M.","affiliations":[{"id":37250,"text":"Natural History Museum, London","active":true,"usgs":false}],"preferred":false,"id":903513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyle, Peter","contributorId":175192,"corporation":false,"usgs":false,"family":"Pyle","given":"Peter","email":"","affiliations":[],"preferred":false,"id":903514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collar, Nigel J.","contributorId":206322,"corporation":false,"usgs":false,"family":"Collar","given":"Nigel","email":"","middleInitial":"J.","affiliations":[{"id":37309,"text":"BirdLife International","active":true,"usgs":false}],"preferred":false,"id":903515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robson, Craig","contributorId":338741,"corporation":false,"usgs":false,"family":"Robson","given":"Craig","email":"","affiliations":[{"id":81196,"text":"Bird Quest, Norwich, England","active":true,"usgs":false}],"preferred":false,"id":903516,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70255600,"text":"70255600 - 2024 - Subducting plate structure and megathrust morphology from deep seismic imaging linked to earthquake rupture segmentation at Cascadia","interactions":[],"lastModifiedDate":"2024-06-26T12:17:28.18698","indexId":"70255600","displayToPublicDate":"2024-06-07T07:14:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17983,"text":"ScienceAdvances","active":true,"publicationSubtype":{"id":10}},"title":"Subducting plate structure and megathrust morphology from deep seismic imaging linked to earthquake rupture segmentation at Cascadia","docAbstract":"<div>The origin of rupture segmentation along subduction zone megathrusts and linkages to the structural evolution of the subduction zone are poorly understood. Here, regional-scale seismic imaging of the Cascadia margin is used to characterize the megathrust spanning ~900 km from Vancouver Island to the California border, across the seismogenic zone to a few tens of kilometers from the coast. Discrete domains in lower plate geometry and sediment underthrusting are identified, not evident in prior regional plate models, which align with changes in lithology and structure of the upper plate and interpreted paleo-rupture patches. Strike-slip faults in the lower plate associated with oblique subduction mark boundaries between regions of distinct lower plate geometry. Their formation may be linked to changes in upper plate structure across long-lived upper plate faults. The Juan de Fuca plate is fragmenting within the seismogenic zone at Cascadia as the young plate bends beneath the heterogeneous upper plate resulting in structural domains that coincide with paleo-rupture segmentation.</div>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adl3198","usgsCitation":"Carbotte, S.M., Boston, B., Han, S., Shuck, B., Beeson, J., Canales, J.P., Tobin, H., Miller, N.C., Nedimovic, M., Trehu, A.M., Lee, M., Lucas, M., Jian, H., Jiang, D., Moser, L., Anderson, C.S., Judd, D., Fernandez, J., Campbell, C., Goswami, A., and Gahlawat, R., 2024, Subducting plate structure and megathrust morphology from deep seismic imaging linked to earthquake rupture segmentation at Cascadia: ScienceAdvances, v. 10, eadl3198, 19 p., https://doi.org/10.1126/sciadv.adl3198.","productDescription":"eadl3198, 19 p.","ipdsId":"IP-161143","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439438,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adl3198","text":"Publisher Index Page"},{"id":430517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -126.94470217689681,\n              49.439588395944895\n            ],\n            [\n              -126.94470217689681,\n              41.50861350168594\n            ],\n            [\n              -121.31970217689677,\n              41.50861350168594\n            ],\n            [\n              -121.31970217689677,\n              49.439588395944895\n            ],\n            [\n        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Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":904891,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nedimovic, Mladen","contributorId":339695,"corporation":false,"usgs":false,"family":"Nedimovic","given":"Mladen","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":904892,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Trehu, Anne M.","contributorId":49884,"corporation":false,"usgs":false,"family":"Trehu","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":904893,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lee, Michelle","contributorId":203525,"corporation":false,"usgs":false,"family":"Lee","given":"Michelle","email":"","affiliations":[{"id":36524,"text":"University of California, Santa 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Geophysical","active":true,"usgs":false}],"preferred":false,"id":904903,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Gahlawat, Rajendra","contributorId":339711,"corporation":false,"usgs":false,"family":"Gahlawat","given":"Rajendra","email":"","affiliations":[{"id":81390,"text":"ION Geophysical","active":true,"usgs":false}],"preferred":false,"id":904904,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70255696,"text":"70255696 - 2024 - Hirsutonosema embarrassi n. gen. n. sp. (Phylum Microsporidia) in the Ovary of Mucket (Actinonaias ligamentina), Plain Pocketbook (Lampsilis cardium), and Fatmucket (Lampsilis siliquoidea) (Unionidae) from the Embarrass River, Wisconsin, USA","interactions":[],"lastModifiedDate":"2024-07-01T11:59:35.24143","indexId":"70255696","displayToPublicDate":"2024-06-07T06:50:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9978,"text":"Parasitologia","active":true,"publicationSubtype":{"id":10}},"title":"Hirsutonosema embarrassi n. gen. n. sp. (Phylum Microsporidia) in the Ovary of Mucket (Actinonaias ligamentina), Plain Pocketbook (Lampsilis cardium), and Fatmucket (Lampsilis siliquoidea) (Unionidae) from the Embarrass River, Wisconsin, USA","docAbstract":"<div class=\"html-p\">During an epidemiological survey following a mortality event of freshwater mussels in 2018 in the Embarrass River, Wisconsin, USA, we identified a novel microsporidian parasite in the ovaries of mucket (<span class=\"html-italic\">Actinonaias ligamentina</span>), plain pocketbook (<span class=\"html-italic\">Lampsilis cardium</span>), and fatmucket (<span class=\"html-italic\">Lampsilis siliquoidea</span>) (Unionidae). Histopathology showed round-to-oval microsporidian spores in the cytoplasm of oocytes in 60% (3/5) of female mucket, 100% (4/4) of female plain pocketbook, and 50% (1/2) of female fatmucket. Using transmission electron microscopy, we found that mature spores were round-to-oval and measured 4.13 ± 0.64 µm (3.14–5.31) long by 2.88 ± 0.37 µm (2.36–3.68) wide. The spores had a thin electron-dense exospore with a spiky “hairy” coat, a thick electron lucent endospore, diplokaryotic nuclei, a polar vacuole, and 27–28 polar filaments arranged in 1–3 rows. Sequencing of the small subunit rRNA produced a 1356 bp sequence most similar to that of<span>&nbsp;</span><span class=\"html-italic\">Pseudonosema cristatellae</span><span>&nbsp;</span>(92%), and phylogenetic analysis grouped it within the freshwater Neopereziida. Genetic, morphological, and ultrastructural characteristics did not closely match those of other<span>&nbsp;</span><span class=\"html-italic\">Pseudonosema</span><span>&nbsp;</span>spp., and a new genus and species,<span>&nbsp;</span><span class=\"html-italic\">Hirsutonosema embarrassi</span><span>&nbsp;</span>n. gen. n. sp., were designated. Additional studies could evaluate host susceptibility, distribution, seasonality, transmission, and lethal or sub-lethal effects of this parasite on freshwater mussels.</div>","language":"English","publisher":"MDPI","doi":"10.3390/parasitologia4020016","usgsCitation":"Knowles, S., Leis, E.M., Richard, J., Standish, I., Bojko, J., Weinzinger, J., and Waller, D.L., 2024, Hirsutonosema embarrassi n. gen. n. sp. (Phylum Microsporidia) in the Ovary of Mucket (Actinonaias ligamentina), Plain Pocketbook (Lampsilis cardium), and Fatmucket (Lampsilis siliquoidea) (Unionidae) from the Embarrass River, Wisconsin, USA: Parasitologia, v. 4, no. 2, p. 184-198, https://doi.org/10.3390/parasitologia4020016.","productDescription":"15 p.","startPage":"184","endPage":"198","ipdsId":"IP-164427","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":439439,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/parasitologia4020016","text":"Publisher Index Page"},{"id":430653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Embarrass River","volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":905305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leis, Eric M.","contributorId":187767,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":905306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richard, J.C.","contributorId":339827,"corporation":false,"usgs":false,"family":"Richard","given":"J.C.","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":905307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Standish, I.F.","contributorId":339828,"corporation":false,"usgs":false,"family":"Standish","given":"I.F.","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":905308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bojko, Jamie","contributorId":333458,"corporation":false,"usgs":false,"family":"Bojko","given":"Jamie","email":"","affiliations":[{"id":79885,"text":"Teesside University","active":true,"usgs":false}],"preferred":false,"id":905309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weinzinger, Jesse","contributorId":339829,"corporation":false,"usgs":false,"family":"Weinzinger","given":"Jesse","affiliations":[{"id":38155,"text":"WI DNR","active":true,"usgs":false}],"preferred":false,"id":905310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":905311,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70264035,"text":"70264035 - 2024 - Scenario design for infectious disease projections: Integrating concepts from decision analysis and experimental design","interactions":[],"lastModifiedDate":"2025-03-05T16:17:01.918193","indexId":"70264035","displayToPublicDate":"2024-06-07T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5213,"text":"Epidemics","active":true,"publicationSubtype":{"id":10}},"title":"Scenario design for infectious disease projections: Integrating concepts from decision analysis and experimental design","docAbstract":"<p><span>Across many fields, scenario modeling has become an important tool for exploring long-term projections and how they might depend on potential interventions and critical uncertainties, with relevance to both decision makers and scientists. In the past decade, and especially during the COVID-19 pandemic, the field of epidemiology has seen substantial growth in the use of scenario projections. Multiple scenarios are often projected at the same time, allowing important comparisons that can guide the choice of intervention, the prioritization of research topics, or public communication. The design of the scenarios is central to their ability to inform important questions. In this paper, we draw on the fields of decision analysis and statistical design of experiments to propose a framework for scenario design in epidemiology, with relevance also to other fields. We identify six different fundamental purposes for scenario designs (decision making, sensitivity analysis, situational awareness, horizon scanning, forecasting, and value of information) and discuss how those purposes guide the structure of scenarios. We discuss other aspects of the content and process of scenario design, broadly for all settings and specifically for multi-model ensemble projections. As an illustrative case study, we examine the first 17 rounds of scenarios from the U.S. COVID-19 Scenario Modeling Hub, then reflect on future advancements that could improve the design of scenarios in epidemiological settings.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epidem.2024.100775","usgsCitation":"Runge, M.C., Shea, K., Howerton, E., Yan, K., Hochheiser, H., Rosenstrom, E.T., Probert, W., Borchering, R.K., Marathe, M., Lewis, B., Venkatramanan, S., Truelove, S., Lessler, J., and Viboud, C., 2024, Scenario design for infectious disease projections: Integrating concepts from decision analysis and experimental design: Epidemics, v. 47, 100775, 12 p., https://doi.org/10.1016/j.epidem.2024.100775.","productDescription":"100775, 12 p.","ipdsId":"IP-157967","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":489975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epidem.2024.100775","text":"Publisher Index Page"},{"id":482904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":929545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":929546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howerton, Emily 0000-0002-0639-3728","orcid":"https://orcid.org/0000-0002-0639-3728","contributorId":258035,"corporation":false,"usgs":false,"family":"Howerton","given":"Emily","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":929547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yan, Katie","contributorId":351822,"corporation":false,"usgs":false,"family":"Yan","given":"Katie","affiliations":[{"id":84058,"text":"The Pennsylvania State University, University Park, Pennsylvania, USA","active":true,"usgs":false}],"preferred":false,"id":929548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hochheiser, Harry","contributorId":290452,"corporation":false,"usgs":false,"family":"Hochheiser","given":"Harry","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":929549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenstrom, Erik T","contributorId":331831,"corporation":false,"usgs":false,"family":"Rosenstrom","given":"Erik","email":"","middleInitial":"T","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":929550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Probert, William J.M.","contributorId":351823,"corporation":false,"usgs":false,"family":"Probert","given":"William J.M.","affiliations":[{"id":33126,"text":"University of Oxford, Oxford, UK","active":true,"usgs":false}],"preferred":false,"id":929551,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borchering, Rebecca K. 0000-0003-4309-2913","orcid":"https://orcid.org/0000-0003-4309-2913","contributorId":258031,"corporation":false,"usgs":false,"family":"Borchering","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":929552,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marathe, Madhav V.","contributorId":351824,"corporation":false,"usgs":false,"family":"Marathe","given":"Madhav V.","affiliations":[{"id":84061,"text":"University of Virginia, Charlottesville, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":929553,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lewis, Bryan","contributorId":258121,"corporation":false,"usgs":false,"family":"Lewis","given":"Bryan","email":"","affiliations":[],"preferred":false,"id":929554,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Venkatramanan, Srinivasan","contributorId":258118,"corporation":false,"usgs":false,"family":"Venkatramanan","given":"Srinivasan","email":"","affiliations":[],"preferred":false,"id":929555,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Truelove, Shaun","contributorId":258037,"corporation":false,"usgs":false,"family":"Truelove","given":"Shaun","email":"","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":929556,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lessler, Justin","contributorId":258042,"corporation":false,"usgs":false,"family":"Lessler","given":"Justin","email":"","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":929557,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Viboud, Cecile","contributorId":331846,"corporation":false,"usgs":false,"family":"Viboud","given":"Cecile","affiliations":[{"id":52216,"text":"National Institutes of Health Fogarty International Center","active":true,"usgs":false}],"preferred":false,"id":929558,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70254627,"text":"cir1519 - 2024 - The 3D National Topography Model Call for Action—Part 1. The 3D Hydrography Program","interactions":[],"lastModifiedDate":"2024-09-20T16:59:02.860799","indexId":"cir1519","displayToPublicDate":"2024-06-06T12:48:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1519","displayTitle":"The 3D National Topography Model Call for Action—Part 1. The 3D Hydrography Program","title":"The 3D National Topography Model Call for Action—Part 1. The 3D Hydrography Program","docAbstract":"<p>The U.S. Geological Survey is initiating the 3D Hydrography Program (3DHP), the first systematic remapping of the Nation’s surface waters since the original 1:24,000-scale topographic mapping program was active from 1947 to 1992. Building on decades of experience maintaining the National Hydrography Dataset (NHD), the Watershed Boundary Dataset (WBD), and the NHDPlus High Resolution (NHDPlus HR), the 3DHP will completely refresh the Nation’s hydrography data and improve discovery and sharing of water-related data. The design of the 3DHP is based on the results of a study that estimated that the fully implemented program would have the potential to provide more than $1 billion in benefits to Federal, State, Tribal, Territorial, and local governments and to private and nonprofit organizations every year, in addition to myriad societal benefits. The 3DHP would directly support better decision making regarding water resources by providing more accurate, complete, and integrated information than is currently available.</p><p>The 3DHP datasets will include a three-dimensional (3D) hydrography network generated from and integrated with elevation data from the 3D Elevation Program (3DEP) to better represent stream gradients and channel conditions, along with waterbodies, hydrologic units, hydrologically enhanced elevation and other surfaces, and more consistent and accurate attributes. The 3DHP datasets will inherit key attributes of the NHD, WBD, and NHDPlus HR, and they also will include new attributes and links to other data such as the U.S. Fish and Wildlife Service National Wetlands Inventory, groundwater data, and engineered hydrologic systems such as stormwater networks. The 3DHP will be designed to provide a set of open and interoperable web-based tools, maps, and data catalogs, creating a robust system for users to reference their information about water; the system elements are collectively referred to as the “infostructure.” The 3DHP and the infostructure can provide a foundational geospatial underpinning for the Internet of Water, a community-based effort to modernize tools and technologies to share water data. As proposed, the 3DHP would begin providing products and services to the public in 2024.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1519","isbn":"978-1-4113-4579-9","programNote":"National Geospatial Program","usgsCitation":"Anderson, R., Lukas, V., and Aichele, S.S., 2024, The 3D National Topography Model Call for Action—Part 1. The 3D Hydrography Program (ver. 1.1, July 2024): U.S. Geological Survey Circular 1519, 12 p., https://doi.org/10.3133/cir1519.","productDescription":"iv, 12 p.","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-138071","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":429527,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1519/coverthb2.jpg"},{"id":429903,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1519/cir1519.XML"},{"id":429904,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1519/images/"},{"id":429528,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1519/cir1519.pdf","text":"Report","size":"6.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1519 PDF"},{"id":430036,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1519/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"CIR 1519 HTML"},{"id":430673,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1519/versionHist.txt","size":"1.42 KB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: June 6, 2024; Version 1.1: July 1, 2024","contact":"<p><a href=\"mailto:3dhp@usgs.gov\" data-mce-href=\"mailto:3dhp@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/programs/national-geospatial-program\" data-mce-href=\"https://www.usgs.gov/programs/national-geospatial-program\">National Geospatial Program</a><br>U.S. Geological Survey<br>Mail Stop 511<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract</li><li>Introducing the 3D Hydrography Program</li><li>Benefits of Hydrography Data</li><li>Designing the Program</li><li>Building the Program</li><li>Next Steps</li><li>Conclusion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-06-06","revisedDate":"2024-07-01","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Rebecca 0000-0001-6988-6311 rdanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-6988-6311","contributorId":5925,"corporation":false,"usgs":true,"family":"Anderson","given":"Rebecca","email":"rdanderson@usgs.gov","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":902110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lukas, Vicki 0000-0002-3151-6689 vlukas@usgs.gov","orcid":"https://orcid.org/0000-0002-3151-6689","contributorId":2890,"corporation":false,"usgs":true,"family":"Lukas","given":"Vicki","email":"vlukas@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":902111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aichele, Stephen S. 0000-0003-3687-5979","orcid":"https://orcid.org/0000-0003-3687-5979","contributorId":337151,"corporation":false,"usgs":true,"family":"Aichele","given":"Stephen","email":"","middleInitial":"S.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":902112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70254400,"text":"fs20243017 - 2024 - The 3D Elevation Program—Supporting Ohio's economy","interactions":[],"lastModifiedDate":"2024-06-06T16:54:20.58816","indexId":"fs20243017","displayToPublicDate":"2024-06-06T12:44:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3017","displayTitle":"The 3D Elevation Program—Supporting Ohio’s Economy","title":"The 3D Elevation Program—Supporting Ohio's economy","docAbstract":"<h1>Introduction</h1><p>High-quality elevation data are proving to be a resource of great economic value in dealing with many important issues in Ohio. Current and accurate high-resolution elevation data support flood risk management, water quantity and quality assessment, precision farming, conservation planning, impervious-surface modeling, forest and other natural resources management, abandoned mine and geologic hazard assessment, karst mapping, and siting of wellhead pads for horizontal drilling. These data also support coastal zone management, traffic safety and preliminary engineering site-selection studies for transportation infrastructure, solar potential and other renewable energy planning, aviation safety, and identification of features of interest or concern such as archaeological sites and orphan oil and gas wells. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243017","usgsCitation":"Hickman, C.E., 2024, The 3D Elevation Program—Supporting Ohio's economy: U.S. Geological Survey Fact Sheet 2024–3017, 2 p., https://doi.org/10.3133/fs20243017.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-126067","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":429212,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243017/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/national-geospatial-program\" data-mce-href=\"https://www.usgs.gov/programs/national-geospatial-program\">National Geospatial Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, Mail Stop 511<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">3DEP@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Status of 3DEP in Ohio</li><li>Water Supply and Quality</li><li>Infrastructure and Construction Management</li><li>Natural Resources Conservation</li><li>Geologic Resource Assessment and Hazard Mitigation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-06-06","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hickman, Charles E.","contributorId":223598,"corporation":false,"usgs":false,"family":"Hickman","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":901328,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70254889,"text":"70254889 - 2024 - Marine heatwaves affect breeding, diet and population size but not body condition of a range-edge little penguin colony","interactions":[],"lastModifiedDate":"2024-06-11T16:25:26.216952","indexId":"70254889","displayToPublicDate":"2024-06-06T11:18:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Marine heatwaves affect breeding, diet and population size but not body condition of a range-edge little penguin colony","docAbstract":"<p><span>Significant marine heatwaves (MHWs) developed along the Western Australian coast in 1999 and 2011. Despite ecosystem losses and the southwards occurrence of many tropical fish species during and after the extreme MHW in 2011, there have been few studies on the effects of this MHW on seabirds, and no biological impacts related to the 1999 MHW have been reported. Using data from 1986-2019, we investigated the impacts of these events on breeding outcomes, body condition, diet composition, population size and mortality of little penguins on Penguin Island, in the temperate waters off Western Australia. Breeding outcomes were negatively impacted by the MHWs but body condition was not. Diet composition changed after the MHW, with sandy sprat&nbsp;</span><i>Hyperlophus vittatus</i><span>, the penguins’ typical major prey component, replaced by scaly mackerel&nbsp;</span><i>Sardinella lemuru</i><span>, a tropical fish species. Using an open robust design analysis that accounts for imperfect capture probabilities and staggered annual arrival and departure dates, we found that the population decreased by 80% following the 2011 MHW. Finally, more penguins died from starvation or from novel protozoal parasitic infections in 2011 and 2012 that were potentially introduced with the changed diet. This research highlights that the temporal and spatial influence of MHWs on seabirds depends on several factors. Furthermore, the magnitude and direction of a prey species’ response can be very localised and have significant impacts on avian predators. There are no obvious ways to mediate climate effects, but perhaps measures taken to reduce any synergistic impacts on prey abundance, particularly during MHW events, could be effective.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14425","usgsCitation":"Cannell, B., Kendall, W.L., Tyne, J., Bunce, M., Hetzel, Y., Murray, D., and Radford, B., 2024, Marine heatwaves affect breeding, diet and population size but not body condition of a range-edge little penguin colony: Marine Ecology Progress Series, v. 737, p. 193-213, https://doi.org/10.3354/meps14425.","productDescription":"21 p.","startPage":"193","endPage":"213","ipdsId":"IP-148271","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Penguin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              115.68697660871345,\n              -32.30069384374752\n            ],\n            [\n              115.68697660871345,\n              -32.31026862299318\n            ],\n            [\n              115.69405059696402,\n              -32.31026862299318\n            ],\n            [\n              115.69405059696402,\n              -32.30069384374752\n            ],\n            [\n              115.68697660871345,\n              -32.30069384374752\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"737","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cannell, B.L.","contributorId":337918,"corporation":false,"usgs":false,"family":"Cannell","given":"B.L.","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":902780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tyne, J.A.","contributorId":337919,"corporation":false,"usgs":false,"family":"Tyne","given":"J.A.","email":"","affiliations":[{"id":6757,"text":"Murdoch University","active":true,"usgs":false}],"preferred":false,"id":902782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunce, M.","contributorId":337920,"corporation":false,"usgs":false,"family":"Bunce","given":"M.","email":"","affiliations":[{"id":81056,"text":"Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":902783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hetzel, Y.","contributorId":337921,"corporation":false,"usgs":false,"family":"Hetzel","given":"Y.","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":902784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murray, D.","contributorId":337924,"corporation":false,"usgs":false,"family":"Murray","given":"D.","email":"","affiliations":[{"id":13639,"text":"Curtin University","active":true,"usgs":false}],"preferred":false,"id":902785,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Radford, B.","contributorId":337926,"corporation":false,"usgs":false,"family":"Radford","given":"B.","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":902786,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70254683,"text":"70254683 - 2024 - Mechanisms by which marine heatwaves impact seabirds","interactions":[],"lastModifiedDate":"2024-06-06T15:01:49.039655","indexId":"70254683","displayToPublicDate":"2024-06-06T09:58:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2636,"text":"MEPS","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms by which marine heatwaves impact seabirds","docAbstract":"<p><span>Marine heatwaves (MHWs) are characterized by periods of extreme warming of local to basin-scale marine habitat. Effects of MHWs on some seabirds (e.g. mass die-offs) are well documented, but mechanisms by which seabirds respond to MHWs remain poorly understood. Following from a symposium at the 3</span><sup>rd</sup><span>&nbsp;World Seabird Conference, this Theme Section presents recent research to address this knowledge gap. Studies included here spanned one or more MHW event, at spatial scales from individual seabird colonies to large marine ecosystems in subtropical, temperate, and polar oceans, and over timespans from months to decades. The findings summarized herein indicate that MHWs can affect seabirds directly by creating physiological heat stress that affects behavior or survival, or indirectly by disrupting seabird food webs, largely by altering metabolic rates in ectothermic prey species, leading to effects on their associated predators and prey. Four main mechanisms by which MHWs affect seabirds are (1) habitat modification, (2) physiological forcing, (3) behavioral responses, and (4) ecological processes or species interactions. Most seabird species have experienced limited effects from MHWs to date, owing to ecological and behavioral adaptations that buffer MHW effects. However, the intensity and frequency of MHWs is increasing due to global warming, and more seabird species may have difficulty coping with future heatwave events. Also, MHW impacts can persist for years after a MHW ends, so consequences of recent or future MHWs could continue to unfold over time for many long-lived seabird species.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14625","usgsCitation":"Piatt, J., Arimitsu, M.L., Thompson, S.A., Suryan, R., Wilson, R., Elliott, K., and Sydeman, W., 2024, Mechanisms by which marine heatwaves impact seabirds: MEPS, v. 737, p. 1-8, https://doi.org/10.3354/meps14625.","productDescription":"8 p.","startPage":"1","endPage":"8","ipdsId":"IP-164926","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14625","text":"Publisher Index Page"},{"id":429575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"737","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":902231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":902232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Sarah Ann","contributorId":198394,"corporation":false,"usgs":false,"family":"Thompson","given":"Sarah","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":902233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suryan, Rob","contributorId":258845,"corporation":false,"usgs":false,"family":"Suryan","given":"Rob","affiliations":[{"id":52314,"text":"NOAA NMFS Auke Bay Lab","active":true,"usgs":false}],"preferred":false,"id":902234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Rory","contributorId":337246,"corporation":false,"usgs":false,"family":"Wilson","given":"Rory","email":"","affiliations":[{"id":81000,"text":"Seaswan University","active":true,"usgs":false}],"preferred":false,"id":902235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Kyle","contributorId":95347,"corporation":false,"usgs":true,"family":"Elliott","given":"Kyle","email":"","affiliations":[],"preferred":false,"id":902236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sydeman, W.J.","contributorId":95831,"corporation":false,"usgs":true,"family":"Sydeman","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":902237,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70255711,"text":"70255711 - 2024 - Turning setbacks into stepping-stones for growth in conservation paleobiology","interactions":[],"lastModifiedDate":"2024-07-02T12:26:14.870761","indexId":"70255711","displayToPublicDate":"2024-06-06T07:25:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Turning setbacks into stepping-stones for growth in conservation paleobiology","docAbstract":"<div class=\"JournalAbstract\"><p>Conservation paleobiology is a cross-disciplinary field that utilizes the geohistorical record of past life on Earth to inform present-day decisions in conservation and restoration and assist in planning for future natural resource management. However, information on how past ecosystems and species responded to environmental change over decadal to millennial timescales is rarely incorporated into conservation and restoration decision-making. To heighten awareness among conservation and restoration practitioners of the relevance of geohistorical data and to bridge the gap between research and implementation in conservation paleobiology, we proposed a Research Topic titled “<i>Integrating Conservation Biology and Paleobiology to Manage Biodiversity and Ecosystems in a Changing World</i>”. The 21 articles subsequently published demonstrate the diversity and breadth of geohistorical information available to resource management and the challenges of translating these results into conservation practice and policy. Here we discuss the lessons we learned from editing the Research Topic and suggest a pathway forward for conservation paleobiologists who aspire to generate actionable research results to solve current problems in biodiversity conservation and ecological restoration.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2024.1384291","usgsCitation":"Wingard, G.L., Schneider, C.L., Dietl, G.P., and Fordham, D.A., 2024, Turning setbacks into stepping-stones for growth in conservation paleobiology: Frontiers in Ecology and Evolution, v. 12, 1384291, 6 p., https://doi.org/10.3389/fevo.2024.1384291.","productDescription":"1384291, 6 p.","ipdsId":"IP-160359","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":439442,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2024.1384291","text":"Publisher Index Page"},{"id":430715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":905382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneider, Chris L.","contributorId":339848,"corporation":false,"usgs":false,"family":"Schneider","given":"Chris","email":"","middleInitial":"L.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":905383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietl, Gregory P.","contributorId":175306,"corporation":false,"usgs":false,"family":"Dietl","given":"Gregory","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":905384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fordham, Damien A.","contributorId":209655,"corporation":false,"usgs":false,"family":"Fordham","given":"Damien","email":"","middleInitial":"A.","affiliations":[{"id":37953,"text":"The University of Adelaide","active":true,"usgs":false}],"preferred":false,"id":905385,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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