{"pageNumber":"175","pageRowStart":"4350","pageSize":"25","recordCount":46666,"records":[{"id":70223849,"text":"70223849 - 2022 - Incorporating antenna detections into abundance estimates of fish","interactions":[],"lastModifiedDate":"2022-03-15T16:01:40.457204","indexId":"70223849","displayToPublicDate":"2021-08-18T06:57:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating antenna detections into abundance estimates of fish","docAbstract":"
Autonomous passive integrated transponder (PIT) tag antennas are commonly used to detect fish marked with PIT tags but cannot detect unmarked fish, creating challenges for abundance estimation. Here we describe an approach to estimate abundance from paired physical capture and antenna detection data in closed and open mark-recapture models. Additionally, for open models, we develop an approach that incorporates uncertainty in fish size, because fish size changes through time (as fish grow bigger) but is unknown if fish are not physically captured (e.g., only detected on antennas). Incorporation of size uncertainty allows for estimation of size-specific abundances and demonstrates a generally useful method for obtaining state-specific abundances estimates under state uncertainty. Simulation studies comparing models with and without antenna detections illustrate that the benefit of our approach increases as a larger proportion of the population is marked. When applied to two field data sets, our approach to incorporating antenna detections reduced uncertainty in abundance substantially. We conclude that PIT antennas hold great potential for improving abundance estimation, despite the challenges they present.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0003","usgsCitation":"Dzul, M.C., Yackulic, C., Kendall, W.L., Winkelman, D.L., Conner, M.M., and Yard, M.D., 2022, Incorporating antenna detections into abundance estimates of fish: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 3, p. 436-447, https://doi.org/10.1139/cjfas-2021-0003.","productDescription":"12 p.","startPage":"436","endPage":"447","ipdsId":"IP-125707","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":449745,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1807/109444","text":"External Repository"},{"id":436059,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZCNR6X","text":"USGS data release","linkHelpText":"Humpback chub (Gila cypha) capture history data (2009-2020), Grand Canyon, Arizona"},{"id":389049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":822928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conner, Mary M","contributorId":222152,"corporation":false,"usgs":false,"family":"Conner","given":"Mary","email":"","middleInitial":"M","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":822930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":169281,"corporation":false,"usgs":true,"family":"Yard","given":"Michael","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822931,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228362,"text":"70228362 - 2022 - NGA-subduction global ground motion models with regional adjustment factors","interactions":[],"lastModifiedDate":"2022-02-10T12:03:19.524677","indexId":"70228362","displayToPublicDate":"2021-08-13T10:07:19","publicationYear":"2022","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":"NGA-subduction global ground motion models with regional adjustment factors","docAbstract":"

We develop semi-empirical ground motion models (GMMs) for peak ground acceleration, peak ground velocity, and 5%-damped pseudo-spectral accelerations for periods from 0.01 to 10 s, for the median orientation-independent horizontal component of subduction earthquake ground motion. The GMMs are applicable to interface and intraslab subduction earthquakes in Japan, Taiwan, Mexico, Central America, South America, Alaska, the Aleutian Islands, and Cascadia. The GMMs are developed using a combination of data inspection, data regression with respect to physics-informed functions, ground-motion simulations, and geometrical constraints for certain model components. The GMMs capture observed differences in source and path effects for interface and intraslab events, conditioned on moment magnitude, rupture distance, and hypocentral depth. Site effect and aleatory variability models are shared between event types. Regionalized GMM components include the model constant (that controls ground motion amplitude), anelastic attenuation, magnitude-scaling break point, linear site response, and sediment depth terms. We develop models for the aleatory between-event variability (τ)\">(τ), within-event variability (ϕ)\">(ϕ), single-station within-event variability (ϕSS)\">(ϕSS), and site-to-site variability (ϕS2S)\">(ϕS2S). Ergodic analyses should use the median GMM and aleatory variability computed using the between-event and within-event variability models. An analysis incorporating non-ergodic site response should use the median GMM at the reference shear-wave velocity condition, a site-specific site response model, and aleatory variability computed using the between-event and single-station within-event variability models. Epistemic uncertainty in the median model is represented by standard deviations on the regional model constants, which facilitates scaled-backbone representations of model uncertainty in hazard analyses.

","language":"English","publisher":"SAGE Publishing","doi":"10.1177/87552930211034889","usgsCitation":"Parker, G.A., Stewart, J.P., Boore, D., Atkinson, G.M., and Hassani, B., 2022, NGA-subduction global ground motion models with regional adjustment factors: Earthquake Spectra, v. 38, no. 1, p. 456-493, https://doi.org/10.1177/87552930211034889.","productDescription":"38 p.","startPage":"456","endPage":"493","ipdsId":"IP-122810","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":395672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":833952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Jonathan P.","contributorId":100110,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":833953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":833954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Gail M.","contributorId":60515,"corporation":false,"usgs":false,"family":"Atkinson","given":"Gail","email":"","middleInitial":"M.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":833955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hassani, Behzad","contributorId":275298,"corporation":false,"usgs":false,"family":"Hassani","given":"Behzad","email":"","affiliations":[{"id":37568,"text":"BC Hydro","active":true,"usgs":false}],"preferred":false,"id":833956,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70224247,"text":"70224247 - 2022 - Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing","interactions":[],"lastModifiedDate":"2022-04-11T16:33:42.047444","indexId":"70224247","displayToPublicDate":"2021-08-06T07:25:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing","docAbstract":"

Lakes process both terrestrial and aquatic organic matter, and the relative contribution from each source is often measured via ecosystem metabolism and terrestrial resource use in the food web (i.e., consumer allochthony). Yet, ecosystem metabolism and consumer allochthony are rarely considered together, despite possible interactions and potential for them to respond to the same lake characteristics. In this study, we compiled global datasets of lake gross primary production (GPP), ecosystem respiration (ER), and zooplankton allochthony to compare the strength and shape of relationships with physicochemical characteristics across a broad set of lakes. GPP was positively related to total phosphorus (TP) in lakes with intermediate TP concentrations (11–75 μg L−1) and was highest in lakes with intermediate dissolved organic carbon (DOC) concentrations. While ER and GPP were strongly positively correlated, decoupling occurred at high DOC concentrations. Lastly, allochthony had a unimodal relationship with TP and related variably to DOC. By integrating metabolism and allochthony, we identified similar change points in GPP and zooplankton allochthony at intermediate DOC (4.5–10 mg L−1) and TP (8–20 μg L−1) concentrations, indicating that allochthony and GPP may be coupled and inversely related. The ratio of DOC:nutrients also helped to identify conditions where lake organic matter processing responded more to autochthonous or allochthonous organic matter sources. As lakes globally face eutrophication and browning, predicting how lake organic matter processing will respond requires an updated paradigm that incorporates nonlinear dynamics and interactions.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11907","usgsCitation":"Holgerson, M.A., Hovel, R.A., Kelly, P.T., Bortolotti, L.E., Brentrup, J.A., Bellamy, A.R., Oliver, S.K., and Reisenger, A.J., 2022, Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing: Limnology and Oceanography, v. 67, no. S1, p. S71-S85, https://doi.org/10.1002/lno.11907.","productDescription":"15 p.","startPage":"S71","endPage":"S85","ipdsId":"IP-122058","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":449757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.11907","text":"Publisher Index Page"},{"id":389254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"S1","noUsgsAuthors":false,"publicationDate":"2021-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Holgerson, Meredith A.","contributorId":257243,"corporation":false,"usgs":false,"family":"Holgerson","given":"Meredith","email":"","middleInitial":"A.","affiliations":[{"id":51986,"text":"Departments of Biology and Environmental Studies, St. Olaf College, Northfield, Minnesota, USA","active":true,"usgs":false}],"preferred":false,"id":823337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hovel, Rachel A.","contributorId":171740,"corporation":false,"usgs":false,"family":"Hovel","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":823338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Patrick T.","contributorId":193577,"corporation":false,"usgs":false,"family":"Kelly","given":"Patrick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":823339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bortolotti, Lauren E","contributorId":265772,"corporation":false,"usgs":false,"family":"Bortolotti","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":823340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brentrup, Jennifer A.","contributorId":194457,"corporation":false,"usgs":false,"family":"Brentrup","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":823341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bellamy, Amber R","contributorId":265773,"corporation":false,"usgs":false,"family":"Bellamy","given":"Amber","email":"","middleInitial":"R","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":823342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reisenger, Alexander J","contributorId":265774,"corporation":false,"usgs":false,"family":"Reisenger","given":"Alexander","email":"","middleInitial":"J","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":823344,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70226472,"text":"70226472 - 2022 - Trachyandesite of Kennedy Table, its vent complex, and post−9.3 Ma uplift of the central Sierra Nevada","interactions":[],"lastModifiedDate":"2022-05-13T14:33:49.961069","indexId":"70226472","displayToPublicDate":"2021-08-02T07:40:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Trachyandesite of Kennedy Table, its vent complex, and post−9.3 Ma uplift of the central Sierra Nevada","docAbstract":"

Tectonic interpretation of the central Sierra Nevada—whether the crest of the Sierra Nevada (California, USA) was uplifted in the late Cenozoic or whether the range has undergone continuous down-wearing since the Late Cretaceous—is controversial, since there is no obvious tectonic explanation for renewed uplift. The strongest direct evidence for late Cenozoic uplift of the central Sierra Nevada comes from study of the Trachyandesite of Kennedy Table, which followed the course of the Miocene San Joaquin River but has a steeper gradient than the modern river. Early workers attributed this steeper gradient to tilting of the Sierra Nevada block since the late Miocene, resulting in 2 km of range-crest uplift. However, this interpretation has been contested on grounds that the Miocene river gradient had to be assumed and that the Sierran Batholith could have warped during tilting, thus failing to uplift the range crest. The objective of this study was to obtain quantitative data that test these criticisms.

The Trachyandesite of Kennedy Table is a chain of 33 remnants of a single lava flow as thick as 65 m, preserved for 21 km from Squaw Leap to Little Dry Creek, close to the modern San Joaquin River in the foothills of the Sierra Nevada. Several remnants lie on fluvial gravel of the late Miocene San Joaquin River. Early workers speculated that the lava concealed its own (unrecognized) vent, but in 2011, we identified the vent on the Middle Fork of the San Joaquin River, 13.5 km south of Deadman Pass and 70 km northeast of Kennedy Table. The vent complex intrudes Cretaceous granite, has 285 m relief, and is an intricately jointed intrusion that grades up into a glassy lava flow. Composition (58% SiO2) and 40Ar/39Ar age (9.3 Ma) are identical at the vent and downstream. Basal elevations of remnants were recorded, and the present-day basal gradients of several were adjusted for apparent dip and projected along a vertical plane at 220° (the estimated tilt azimuth). The basal gradients are far steeper than that of the modern river, but they differ slightly from reach to reach and are thus inconsistent measures of the post-Miocene tilt. Likewise, relief eroded atop most remnants renders modeling of upper surfaces suspect. At Little Dry Creek, however, a chain of nine remnants rests on fluvial floodplain sand and gravel; this chain trends 230°, and its smooth basal contact now dips 1.36° (adjusted at 220°). Projection of this dip 89 km from the 207 m base of the most distal remnant at Little Dry Creek to the vent intrusion falls far below the 2760 m intrusion-to-lava-flow transition near the Sierran crest, showing that the Sierran block has not undergone pronounced convex warping. Using elevation data on paleoriver meanders preserved by the lava flow, we show that the paleogradient has a cosine dependence on meander-section azimuth, indicating tilting. Subtraction of 1.07° of dip restores the data to an azimuth-independent configuration, indicating total tilting since 9.3 Ma of 1.07° and an original large-scale gradient of 0.46°, similar to the published value of 0.33° at Squaw Leap, but larger than the previously obtained value of 0.057° at Little Dry Creek. Subtraction of those Miocene estimates from the observable 1.643° tilt along the section from Little Dry Creek to the vent yields vent uplift of 2464 m (for 0.057°), 1835 m (for 0.46°), and 2040 m (for 0.33°). Confirmation of earlier assumptions regarding Miocene river gradient and block rigidity greatly strengthens the case for ∼2 km of late Cenozoic uplift of the central Sierra Nevada crest.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36125.1","usgsCitation":"Hildreth, E., Fierstein, J., Phillips, F., and Calvert, A.T., 2022, Trachyandesite of Kennedy Table, its vent complex, and post−9.3 Ma uplift of the central Sierra Nevada: GSA Bulletin, v. 134, no. 5-6, p. 1143-1159, https://doi.org/10.1130/B36125.1.","productDescription":"17 p.","startPage":"1143","endPage":"1159","ipdsId":"IP-130343","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":449767,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b36125.1","text":"Publisher Index Page"},{"id":391916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120,\n 37\n ],\n [\n -119,\n 37\n ],\n [\n -119,\n 37.75\n ],\n [\n -120,\n 37.75\n ],\n [\n -120,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"134","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hildreth, Edward 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":146999,"corporation":false,"usgs":true,"family":"Hildreth","given":"Edward","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":827032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fierstein, Judith 0000-0001-8024-1426 jfierstn@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-1426","contributorId":147000,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judith","email":"jfierstn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":827033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phillips, Fred M.","contributorId":269402,"corporation":false,"usgs":false,"family":"Phillips","given":"Fred M.","affiliations":[{"id":34868,"text":"New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":827034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":827035,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266742,"text":"70266742 - 2022 - Piscine predation on juvenile salmon in sub-arctic Alaskan rivers: Associations with season, habitat, predator size and streamflow","interactions":[],"lastModifiedDate":"2025-05-12T14:44:07.697851","indexId":"70266742","displayToPublicDate":"2021-08-01T09:36:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Piscine predation on juvenile salmon in sub-arctic Alaskan rivers: Associations with season, habitat, predator size and streamflow","docAbstract":"

Predation on anadromous salmon can have important consequences for both predators and prey. Salmon provide large seasonal pulses of energy and nutrients via carcasses, eggs and juveniles to many freshwater consumers, and conversely, predation can represent a significant source of mortality for juvenile salmon. Recent declines of Chinook salmon (Oncorhynchus tshawytscha) populations in Alaska have raised concern that predation might inhibit their recovery. Here, we quantify patterns of predation by freshwater fishes on juvenile salmon across seasons, habitats, predator sizes and streamflow levels in the Arctic-Yukon-Kuskokwim region of Alaska. We analysed piscivore stomach contents and identified prey using DNA sequence “barcoding.” In coastal rivers, juvenile pink (O. gorbuscha) and chum (O. keta) salmon contributed heavily to Arctic grayling (Thymallus arcticus) and Dolly Varden char (Salvelinus malma) diets, coho salmon (O. kisutch) prey were rare, and Chinook salmon were not detected. In interior rivers, Arctic grayling, burbot (Lota lota) and northern pike (Esox lucius) consumed small numbers of Chinook salmon. Predation on Chinook salmon was documented disproportionately in sloughs during a summer of exceptionally high streamflow. Dietary and distributional patterns suggested northern pike and burbot may exclude salmon from sloughs in low-gradient river reaches that would otherwise provide suitable rearing habitat. The data also provided tentative support for the hypothesis that high streamflow induces juvenile Chinook salmon to move from mainstem habitats into sloughs, where they face an increased risk of mortality. Incorporating predation risk into climate adaptation, fisheries management and habitat restoration decisions may help to facilitate Chinook salmon recovery.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12626","usgsCitation":"Erik R. Schoen, Kristen W. Sellmer, Wipfli, M.S., López, J., Meyer, B.E., and Ivanoff, R., 2022, Piscine predation on juvenile salmon in sub-arctic Alaskan rivers: Associations with season, habitat, predator size and streamflow: Ecology of Freshwater Fish, v. 31, no. 2, p. 243-259, https://doi.org/10.1111/eff.12626.","productDescription":"17 p.","startPage":"243","endPage":"259","ipdsId":"IP-127178","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic-Yukon-Kuskokwim region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -141.10147646297003,\n 68.3449468703235\n ],\n [\n -156.9154253909846,\n 67.08522178303117\n ],\n [\n -160.57755346633166,\n 65.7946938791593\n ],\n [\n -167.68091025059113,\n 65.37438160750091\n ],\n [\n -166.02578339933964,\n 64.5871850291825\n ],\n [\n -161.57951338791028,\n 63.97208503621405\n ],\n [\n -164.3166616652914,\n 63.224393208662505\n ],\n [\n -166.79494731479465,\n 61.465571001059644\n ],\n [\n -163.41623031807688,\n 58.92141056825929\n ],\n [\n -152.74292030658648,\n 61.19555667367189\n ],\n [\n -147.87124146516078,\n 63.43635278597176\n ],\n [\n -144.46134619105635,\n 63.1032486591549\n ],\n [\n -141.13828573559508,\n 62.46536178017422\n ],\n [\n -141.10147646297003,\n 68.3449468703235\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Erik R. Schoen","contributorId":354925,"corporation":false,"usgs":false,"family":"Erik R. Schoen","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":936654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kristen W. Sellmer","contributorId":354927,"corporation":false,"usgs":false,"family":"Kristen W. Sellmer","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":936655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"López, Juan A.","contributorId":354929,"corporation":false,"usgs":false,"family":"López","given":"Juan A.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":936656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Benjamin E.","contributorId":200050,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":936658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ivanoff, Renae","contributorId":264889,"corporation":false,"usgs":false,"family":"Ivanoff","given":"Renae","affiliations":[{"id":54574,"text":"norton sound","active":true,"usgs":false}],"preferred":false,"id":936657,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222547,"text":"70222547 - 2022 - Modeling morphodynamics of coastal response to extreme events: What shape are we in?","interactions":[],"lastModifiedDate":"2022-01-25T16:45:04.659973","indexId":"70222547","displayToPublicDate":"2021-07-27T07:03:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Modeling morphodynamics of coastal response to extreme events: What shape are we in?","docAbstract":"

This review focuses on recent advances in process-based numerical models of the impact of extreme storms on sandy coasts. Driven by larger-scale models of meteorology and hydrodynamics, these models simulate morphodynamics across the Sallenger storm-impact scale, including swash, collision, overwash, and inundation. Models are becoming both wider (as more processes are added) and deeper (as detailed physics replaces earlier parameterizations). Algorithms for wave-induced flows and sediment transport under shoaling waves are among the recent developments. Community and open-source models have become the norm. Observations of initial conditions (topography, land cover, and sediment characteristics) have become more detailed, and improvements in tropical cyclone and wave models provide forcing (winds, waves, surge, and upland flow) that is better resolved and more accurate, yielding commensurate improvements in model skill. We foresee that future storm-impact models will increasingly resolve individual waves, apply data assimilation, and be used in ensemble modeling modes to predict uncertainties.

","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-marine-032221-090215","usgsCitation":"Sherwood, C.R., van Dongeren, A., Doyle, J., Hegermiller, C., Hsu, T.J., Kalra, T., Olabarrieta, M., Penko, A., Rafati, Y., Roelvink, D., van der Lugt, M., Veeramony, J., and Warner, J.C., 2022, Modeling morphodynamics of coastal response to extreme events: What shape are we in?: Annual Review of Marine Science, v. 14, p. 457-492, https://doi.org/10.1146/annurev-marine-032221-090215.","productDescription":"36 p.","startPage":"457","endPage":"492","ipdsId":"IP-126726","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":449771,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/29021","text":"External Repository"},{"id":387676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Dongeren, Ap","contributorId":149002,"corporation":false,"usgs":false,"family":"van Dongeren","given":"Ap","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":820521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doyle, James","contributorId":261741,"corporation":false,"usgs":false,"family":"Doyle","given":"James","affiliations":[{"id":52981,"text":"U.S. Naval Research Laboratory, Monterey, C","active":true,"usgs":false}],"preferred":false,"id":820522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hegermiller, Christie 0000-0002-6383-7508 chegermiller@usgs.gov","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":149010,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","email":"chegermiller@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hsu, T. J.","contributorId":261742,"corporation":false,"usgs":false,"family":"Hsu","given":"T.","email":"","middleInitial":"J.","affiliations":[{"id":52981,"text":"U.S. Naval Research Laboratory, Monterey, C","active":true,"usgs":false}],"preferred":false,"id":820524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalra, Tarandeep S. 0000-0001-5468-248X tkalra@usgs.gov","orcid":"https://orcid.org/0000-0001-5468-248X","contributorId":178820,"corporation":false,"usgs":true,"family":"Kalra","given":"Tarandeep S.","email":"tkalra@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":820544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":211373,"corporation":false,"usgs":false,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":820526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Penko, Allison","contributorId":191932,"corporation":false,"usgs":false,"family":"Penko","given":"Allison","affiliations":[],"preferred":false,"id":820527,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rafati, Yashar","contributorId":223049,"corporation":false,"usgs":false,"family":"Rafati","given":"Yashar","email":"","affiliations":[],"preferred":false,"id":820528,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roelvink, Dano","contributorId":139950,"corporation":false,"usgs":false,"family":"Roelvink","given":"Dano","email":"","affiliations":[{"id":13328,"text":"UNESCO-IHE","active":true,"usgs":false}],"preferred":false,"id":820529,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van der Lugt, Marlies","contributorId":221148,"corporation":false,"usgs":false,"family":"van der Lugt","given":"Marlies","email":"","affiliations":[{"id":40335,"text":"Detlares","active":true,"usgs":false}],"preferred":false,"id":820530,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Veeramony, Jay","contributorId":261743,"corporation":false,"usgs":false,"family":"Veeramony","given":"Jay","email":"","affiliations":[{"id":52984,"text":"U.S. Naval Research Laboratory, Stennis Space Center, MS","active":true,"usgs":false}],"preferred":false,"id":820531,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820532,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70222416,"text":"70222416 - 2022 - Taxonomic, temporal, and spatial variations in zooplankton fatty acid composition in Puget Sound, WA, USA","interactions":[],"lastModifiedDate":"2022-01-25T16:42:32.553137","indexId":"70222416","displayToPublicDate":"2021-07-26T07:16:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Taxonomic, temporal, and spatial variations in zooplankton fatty acid composition in Puget Sound, WA, USA","docAbstract":"

Fatty acid (FA) content and composition of zooplankton in Puget Sound, Washington (USA) was studied to investigate the nutritional quality of diverse zooplankton prey for juvenile salmon (Oncorhynchus spp.) in terms of their essential fatty acid (EFA) content. The study focus was on eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and arachidonic acid (ARA) as these are key FA needed to maintain growth and development of juvenile fish. The different zooplankton taxa varied in their FA composition. Much of the variation in FA composition was driven by 18:1ω9 (a biomarker of carnivory), ARA, DHA, and FA characteristic of diatoms, which are linked to zooplankton diet sources. Gammarid and hyperiid amphipods contained the highest amount of EFA, particularly the gammarid amphipod Cyphocaris challengeri, while shrimp and copepods had much lower EFA content. Crab larvae, which are important prey for juvenile salmon in Puget Sound, had intermediate EPA + DHA content and the lowest DHA/EPA ratio, and were rich in diatom biomarkers. Temporal and spatial trends in zooplankton lipids were less apparent than the taxonomic differences, although the EFA content increased from spring to summer in Cancridae zoeae and the amphipod C. challengeri. These results on taxon-specific EFA content provide baseline information on the nutritional quality of zooplankton that can be applied in food web models. Combining zooplankton fatty acid data (quality) with taxon-specific zooplankton biomass data (quantity) enables development of new, sensitive indicators of juvenile fish production to help assess recent declines in salmon production in the Pacific Northwest and predict future adult returns.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-021-00973-8","usgsCitation":"Hiltunen, M., Strandberg, U., Brett, M.T., Winans, A.K., Beauchamp, D., Kotila, M., and Keister, J.E., 2022, Taxonomic, temporal, and spatial variations in zooplankton fatty acid composition in Puget Sound, WA, USA: Estuaries and Coasts, v. 45, p. 567-581, https://doi.org/10.1007/s12237-021-00973-8.","productDescription":"15 p.","startPage":"567","endPage":"581","ipdsId":"IP-112526","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":449772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-021-00973-8","text":"Publisher Index Page"},{"id":387504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.76074218749999,\n 46.89023157359399\n ],\n [\n -121.59667968749999,\n 46.89023157359399\n ],\n [\n -121.59667968749999,\n 48.8936153614802\n ],\n [\n -124.76074218749999,\n 48.8936153614802\n ],\n [\n -124.76074218749999,\n 46.89023157359399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2021-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hiltunen, Minna","contributorId":261400,"corporation":false,"usgs":false,"family":"Hiltunen","given":"Minna","email":"","affiliations":[{"id":52842,"text":"Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland","active":true,"usgs":false}],"preferred":false,"id":819974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strandberg, Ursula","contributorId":261401,"corporation":false,"usgs":false,"family":"Strandberg","given":"Ursula","email":"","affiliations":[{"id":52842,"text":"Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland","active":true,"usgs":false}],"preferred":false,"id":819975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brett, Michael T.","contributorId":261402,"corporation":false,"usgs":false,"family":"Brett","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":52844,"text":"Civil and Environmental Engineering, University of Washington, Seattle, USA","active":true,"usgs":false}],"preferred":false,"id":819976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winans, Amanda K.","contributorId":261403,"corporation":false,"usgs":false,"family":"Winans","given":"Amanda","email":"","middleInitial":"K.","affiliations":[{"id":52845,"text":"School of Oceanography, University of Washington, Seattle, USA","active":true,"usgs":false}],"preferred":false,"id":819977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":819978,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kotila, Miika","contributorId":261404,"corporation":false,"usgs":false,"family":"Kotila","given":"Miika","email":"","affiliations":[{"id":52842,"text":"Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland","active":true,"usgs":false}],"preferred":false,"id":819979,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keister, Julie E.","contributorId":261405,"corporation":false,"usgs":false,"family":"Keister","given":"Julie","email":"","middleInitial":"E.","affiliations":[{"id":52845,"text":"School of Oceanography, University of Washington, Seattle, USA","active":true,"usgs":false}],"preferred":false,"id":819980,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70224977,"text":"70224977 - 2022 - Quantifying the response of nitrogen speciation to hydrology in the Chesapeake Bay Watershed using a multilevel modeling approach","interactions":[],"lastModifiedDate":"2023-01-18T15:37:05.805872","indexId":"70224977","displayToPublicDate":"2021-07-26T07:16:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6465,"text":"Journal of American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the response of nitrogen speciation to hydrology in the Chesapeake Bay Watershed using a multilevel modeling approach","docAbstract":"

Excessive nitrogen (N) inputs to coastal waters can lead to severe eutrophication and different chemical forms of N exhibit varying levels of effectiveness in fueling primary production. Efforts to mitigate N fluxes from coastal watersheds are often guided by models that predict changes in N loads as a function of changes in land use, management practices, and climate. However, relatively little is known on the impacts of such changes on the relative fractions of different N forms. We leveraged a long-term dataset of N loads from over 100 river stations to investigate how the \"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0001\" fraction, that is, the ratio of \"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0002\" to total N (\"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0003\"/TN), changes as a function of spatio-temporal changes in TN loads in the Chesapeake Bay watershed. We built a hierarchical model that separates the response of \"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0004\" to changes in TN load occurring at different scales: Across river stations, where differences in TN loads are largely driven by spatial differences in anthropogenic inputs, and within stations, where inter-annual variability in hydrology is a key driver of changes in TN loads. Results suggest that while increases in TN loads resulting from changes in anthropogenic inputs lead to an increase in the \"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0005\" fraction, a decrease in the \"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0006\" fraction may occur when increases in TN loads are driven by increased streamflow. These results are especially relevant in watersheds that may experience changes in N loads due to both management decisions and climate-driven changes in hydrology.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12951","usgsCitation":"Bertani, I., Bhatt, G., Shenk, G.W., and Linker, L.C., 2022, Quantifying the response of nitrogen speciation to hydrology in the Chesapeake Bay Watershed using a multilevel modeling approach: Journal of American Water Resources Association, v. 58, no. 6, p. 792-804, https://doi.org/10.1111/1752-1688.12951.","productDescription":"13 p.","startPage":"792","endPage":"804","ipdsId":"IP-128081","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":390377,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1904296875,\n 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0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":824994,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254952,"text":"70254952 - 2022 - Trading off hatching success and cost in the captive breeding of Whooping Cranes","interactions":[],"lastModifiedDate":"2024-06-11T13:57:37.083333","indexId":"70254952","displayToPublicDate":"2021-07-21T08:54:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Trading off hatching success and cost in the captive breeding of Whooping Cranes","docAbstract":"

Captive breeding is an increasingly used conservation strategy for species with a high risk of extinction in the wild, but managing a captive breeding programme can be challenging if there is a deficiency in knowledge about the species’ breeding biology. A knowledge gap can make it difficult to evaluate different management options. For avian species, egg hatching success is a key demographic parameter, and data-logging egg technology can provide important information on optimal species-specific incubation conditions, which can help inform captive breeding practises and identify efficient captive management options. In the context of a captive breeding programme for endangered Whooping Cranes Grus americana, we investigated associations between hatching success and incubation conditions, including environmental parameters (temperature, relative humidity and egg turning rate), and incubation type (artificial incubation; foster incubation by Sandhill Cranes, Grus canadensis; and Whooping Crane incubation). Finally, we considered both cost and breeding output in an analysis of incubation practises. We found that daily mean temperatures were negatively associated with hatching success, and that hatching success was highest with incubation under Sandhill Cranes. However, incubation by artificial incubators, rather than Sandhill Cranes, provided a trade-off between cost and breeding output that is likely to be acceptable to many captive programme managers. We encourage other captive breeding programmes to use innovations that help to increase potential release numbers for conservation translocations by considering biological and financial constraints.

","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.12722","usgsCitation":"Edwards, H.A., Converse, S.J., Swan, K.D., and Moehrenschlager, A., 2022, Trading off hatching success and cost in the captive breeding of Whooping Cranes: Animal Conservation, v. 25, no. 1, p. 101-109, https://doi.org/10.1111/acv.12722.","productDescription":"9 p.","startPage":"101","endPage":"109","ipdsId":"IP-125402","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.12722","text":"Publisher Index Page"},{"id":429869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Edwards, Hannah A.","contributorId":338096,"corporation":false,"usgs":false,"family":"Edwards","given":"Hannah","email":"","middleInitial":"A.","affiliations":[{"id":56586,"text":"czs","active":true,"usgs":false}],"preferred":false,"id":902952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swan, Kelly D.","contributorId":338097,"corporation":false,"usgs":false,"family":"Swan","given":"Kelly","email":"","middleInitial":"D.","affiliations":[{"id":56586,"text":"czs","active":true,"usgs":false}],"preferred":false,"id":902953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moehrenschlager, Axel","contributorId":338100,"corporation":false,"usgs":false,"family":"Moehrenschlager","given":"Axel","affiliations":[{"id":56586,"text":"czs","active":true,"usgs":false}],"preferred":false,"id":902954,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228671,"text":"70228671 - 2022 - Species-specific demographic and behavioral responses to food availability during migratory stopover","interactions":[],"lastModifiedDate":"2022-02-16T16:03:41.730784","indexId":"70228671","displayToPublicDate":"2021-07-18T09:55:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Species-specific demographic and behavioral responses to food availability during migratory stopover","docAbstract":"

Understanding the effects of migratory stopover site conditions on both demographic rates and migratory behaviors is critical for interpreting changes in passage population sizes at stopover sites and predicting responses to future changes and conservation actions. We used a Bayesian formulation of the open robust design model to analyze mark-resight observations of three migratory shorebird species using Delaware Bay, USA during spring stopover from 2005 to 2018. We tested for an effect of stopover food availability and weather conditions on survival probability and the probability of returning to this site in the next year and found species differences in these relationships. After years with greater food availability, red knot Calidris canutus rufa had higher survival probability but ruddy turnstone Arenaria interpres were more likely to return to the site. Estimates of within-year probabilities of arrival and persistence at the stopover site showed relatively consistent migration schedules for ruddy turnstone, but more interannual variation for red knot and sanderling Calidris alba. Shorebird use of this site typically peaked during May 26–28, but the estimated proportion of the population present during this period varied dramatically among years for red knot (range: 0.07–0.59) but less so for ruddy turnstone and sanderling. This demonstrates that both the proportion of the flyway population using this stopover site and the proportion present during a given sampling period vary among years, and both should be considered in analyzing and interpreting monitoring data. Stopover conditions can influence both migratory behavior and demographics, underscoring the importance of flyway-wide monitoring.

","language":"English","publisher":"Ecological Society of Japan","doi":"10.1002/1438-390X.12094","usgsCitation":"Tucker, A.M., McGowan, C., Lyons, J.E., Derose-Wilson, A., and Clark, N., 2022, Species-specific demographic and behavioral responses to food availability during migratory stopover: Population Ecology, v. 64, no. 1, p. 19-34, https://doi.org/10.1002/1438-390X.12094.","productDescription":"16 p.","startPage":"19","endPage":"34","ipdsId":"IP-113655","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":396019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.08331298828125,\n 38.700515838688716\n ],\n [\n -74.94049072265625,\n 38.9380483825641\n ],\n [\n -74.87457275390625,\n 39.193948213963665\n ],\n [\n -75.00091552734375,\n 39.234380580544276\n ],\n [\n -75.15472412109375,\n 39.20671884491848\n ],\n [\n -75.3826904296875,\n 39.39587712612034\n ],\n [\n -75.50079345703125,\n 39.48920467334085\n ],\n [\n -75.52276611328125,\n 39.607804249995105\n ],\n [\n -75.53924560546875,\n 39.69239407904182\n ],\n [\n -75.63812255859375,\n 39.620499321968104\n ],\n [\n -75.58319091796875,\n 39.552765371831015\n ],\n [\n -75.60791015625,\n 39.46588451142044\n ],\n [\n -75.42938232421875,\n 39.25990481501755\n ],\n [\n -75.43212890625,\n 39.08530414503412\n ],\n [\n -75.333251953125,\n 38.9914373369788\n ],\n [\n -75.31677246093749,\n 38.91240739487225\n ],\n [\n -75.16845703124999,\n 38.773357720269075\n ],\n [\n -75.08880615234375,\n 38.78406349514289\n ],\n [\n -75.08331298828125,\n 38.700515838688716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Tucker, A. M.","contributorId":276002,"corporation":false,"usgs":false,"family":"Tucker","given":"A.","email":"","middleInitial":"M.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":834971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":834972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derose-Wilson, A.","contributorId":243204,"corporation":false,"usgs":false,"family":"Derose-Wilson","given":"A.","email":"","affiliations":[{"id":36379,"text":"Delaware Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":834974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, N.A.","contributorId":279481,"corporation":false,"usgs":false,"family":"Clark","given":"N.A.","affiliations":[{"id":38864,"text":"British Trust for Ornithology","active":true,"usgs":false}],"preferred":false,"id":834975,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221845,"text":"70221845 - 2022 - A Bayesian nonparametric approach to unmixing detrital geochronologic data","interactions":[],"lastModifiedDate":"2022-02-15T15:29:53.440463","indexId":"70221845","displayToPublicDate":"2021-07-08T06:58:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian nonparametric approach to unmixing detrital geochronologic data","docAbstract":"

Sedimentary deposits constitute the primary record of changing environmental conditions that have acted on Earth’s surface over geologic time. Clastic material is eroded from source locations (parents) in sediment routing systems and deposited at sink locations (children). Both parents and children have characteristics that vary across many different dimensions, including grain size, chemical composition, and the geochronologic age of constituent detrital minerals. During transport, sediment from different parents is mixed together to form a child, which in turn may serve as the parent for other sediment farther down-system or later in time when buried sediment is exhumed. The distribution of detrital mineral ages observed in parent and child sediments allows for investigation of the proportion of each parent in the child sediment, which reflects the properties of the sediment routing system. To model the proportion of dates in a child sample that comes from each of the parent distributions, we use a Bayesian mixture of Dirichlet processes. This model enables us to estimate the mixing proportions with associated uncertainty while making minimal assumptions. We also present an extension to the model whereby we reconstruct unobserved parent distributions from multiple observed child distributions using mixtures of Dirichlet processes. The model accounts for uncertainty in both the number of mineral formation events that constitute each parent distribution and the mixing proportions of each parent distribution that constitutes a child distribution. To demonstrate the model, we perform analyses using simulated data where the true age distribution is known as well as using a real-world case study from the coast of central California, USA.

","language":"English","publisher":"Springer","doi":"10.1007/s11004-021-09961-x","usgsCitation":"Tipton, J.R., Sharman, G.R., and Johnstone, S., 2022, A Bayesian nonparametric approach to unmixing detrital geochronologic data: Mathematical Geosciences, v. 54, p. 151-176, https://doi.org/10.1007/s11004-021-09961-x.","productDescription":"16 p.","startPage":"151","endPage":"176","ipdsId":"IP-117381","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":387071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","noUsgsAuthors":false,"publicationDate":"2021-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Tipton, John R. 0000-0002-6135-8191","orcid":"https://orcid.org/0000-0002-6135-8191","contributorId":260843,"corporation":false,"usgs":false,"family":"Tipton","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":818949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharman, Glenn R.","contributorId":196537,"corporation":false,"usgs":false,"family":"Sharman","given":"Glenn","email":"","middleInitial":"R.","affiliations":[{"id":34621,"text":"Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA","active":true,"usgs":false}],"preferred":false,"id":818950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":818951,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229238,"text":"70229238 - 2022 - The distribution and structure of mangroves (Avicennia germinans and Rhizophora mangle) near a rapidly changing range limit in the northeastern Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-06-09T13:56:46.718848","indexId":"70229238","displayToPublicDate":"2021-07-02T09:59:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The distribution and structure of mangroves (Avicennia germinans and Rhizophora mangle) near a rapidly changing range limit in the northeastern Gulf of Mexico","title":"The distribution and structure of mangroves (Avicennia germinans and Rhizophora mangle) near a rapidly changing range limit in the northeastern Gulf of Mexico","docAbstract":"

In coastal wetlands, one of the most striking examples of climate change is the poleward range expansion of mangrove forests in response to warming winters. In North America, the Cedar Key region has often been considered the range limit for mangroves along the western coast of Florida (USA). However, within the past several decades, robust stands of Avicennia germinans and Rhizophora mangle have been observed in the Apalachicola Bay region, which is 200 km northwest of Cedar Key. Here, we combined field vegetation surveys, historical herbarium records, and analyses of past temperature data (station-based and gridded) to examine the distribution and structure of these two mangrove species in the Apalachicola Bay region. Historical records indicate that mangroves have been present for at least 150 years. However, our abundance and structural data indicate that mangroves are currently reaching heights, densities, and reproductive stages not historically reported. We found a surprisingly broad distribution and high number of R. mangle individuals, which is unlike A. germinans–dominated mangrove range limits in Louisiana and Texas. Using cold temperature tolerance thresholds and gridded temperature data, we show that A. germinans and R. mangle distributions can be influenced by spatial variation in the frequency of extreme freeze events, which can be used to spatially depict the risk of mangrove cold damage. Given the rapid pace of change and the potential for abrupt landscape-scale transformation, our findings reinforce the pressing need to advance understanding of mangrove expansion dynamics near northern range limits in the southeastern United States.

","language":"English","publisher":"Springer Link","doi":"10.1007/s12237-021-00951-0","usgsCitation":"Snyder, C.M., Feher, L., Osland, M., Miller, C., Hughes, A.R., and Cummins, K.L., 2022, The distribution and structure of mangroves (Avicennia germinans and Rhizophora mangle) near a rapidly changing range limit in the northeastern Gulf of Mexico: Estuaries and Coasts, v. 45, p. 181-195, https://doi.org/10.1007/s12237-021-00951-0.","productDescription":"15 p.; Data Release","startPage":"181","endPage":"195","ipdsId":"IP-124558","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":396703,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417854,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90NGKNR"}],"country":"United States","state":"Florida","otherGeospatial":"Apalachicola Bay region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.40496826171874,\n 29.544787796199465\n ],\n [\n -84.31182861328125,\n 29.544787796199465\n ],\n [\n -84.31182861328125,\n 29.957314210401563\n ],\n [\n -85.40496826171874,\n 29.957314210401563\n ],\n [\n -85.40496826171874,\n 29.544787796199465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2021-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Snyder, Caitlin M.","contributorId":218921,"corporation":false,"usgs":false,"family":"Snyder","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":39940,"text":"Apalachicola National Estuarine Research Reserve, Eastpoint, FL USA","active":true,"usgs":false}],"preferred":false,"id":837010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":219649,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Christopher J.","contributorId":287682,"corporation":false,"usgs":false,"family":"Miller","given":"Christopher J.","affiliations":[{"id":61624,"text":"Saint Leo University, Saint Leo, FL USA","active":true,"usgs":false}],"preferred":false,"id":837013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, A. Randall","contributorId":177827,"corporation":false,"usgs":false,"family":"Hughes","given":"A.","email":"","middleInitial":"Randall","affiliations":[],"preferred":false,"id":837014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cummins, Karen L","contributorId":287683,"corporation":false,"usgs":false,"family":"Cummins","given":"Karen","email":"","middleInitial":"L","affiliations":[{"id":39939,"text":"Florida Forest Service, Tallahassee, FL USA","active":true,"usgs":false}],"preferred":false,"id":837015,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222097,"text":"70222097 - 2022 - Genomic signatures of thermal adaptation are associated with clinal shifts of life history in a broadly distributed frog","interactions":[],"lastModifiedDate":"2022-06-16T15:13:14.247326","indexId":"70222097","displayToPublicDate":"2021-05-28T07:19:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Genomic signatures of thermal adaptation are associated with clinal shifts of life history in a broadly distributed frog","docAbstract":"
  1. Temperature is a critical driver of ectotherm life-history strategies, whereby a warmer environment is associated with increased growth, reduced longevity and accelerated senescence. Increasing evidence indicates that thermal adaptation may underlie such life-history shifts in wild populations. Single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) can help uncover the molecular mechanisms of temperature-driven variation in growth, longevity and senescence. However, our understanding of these mechanisms is still limited, which reduces our ability to predict the response of non-model ectotherms to global temperature change.
  2. In this study, we examined the potential role of thermal adaptation in clinal shifts of life-history traits (i.e. life span, senescence rate and recruitment) in the Columbia spotted frog Rana luteiventris along a broad temperature gradient in the western United States.
  3. We took advantage of extensive capture–recapture datasets of 20,033 marked individuals from eight populations surveyed annually for 14–18 years to examine how mean annual temperature and precipitation influenced demographic parameters (i.e. adult survival, life span, senescence rate, recruitment and population growth). After showing that temperature was the main climatic predictor influencing demography, we used RAD-seq data (50,829 SNPs and 6,599 putative CNVs) generated for 352 individuals from 31 breeding sites to identify the genomic signatures of thermal adaptation.
  4. Our results showed that temperature was negatively associated with annual adult survival and reproductive life span and positively associated with senescence rate. By contrast, recruitment increased with temperature, promoting the long-term viability of most populations. These temperature-dependent demographic changes were associated with strong genomic signatures of thermal adaptation. We identified 148 SNP candidates associated with temperature including three SNPs located within protein-coding genes regulating resistance to cold and hypoxia, immunity and reproduction in ranids. We also identified 39 CNV candidates (including within 38 transposable elements) for which normalized read depth was associated with temperature.
  5. Our study indicates that both SNPs and structural variants are associated with temperature and could eventually be found to play a functional role in clinal shifts in senescence rate and life-history strategies in R. luteiventris. These results highlight the potential role of different sources of molecular variation in the response of ectotherms to environmental temperature variation in the context of global warming.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13545","usgsCitation":"Cayuela, H., Dorant, Y., Forester, B.R., Jeffries, D.L., McCaffery, R.M., Eby, L., Hossack, B., Gippet, J., Pilliod, D., and Funk, W., 2022, Genomic signatures of thermal adaptation are associated with clinal shifts of life history in a broadly distributed frog: Journal of Animal Ecology, v. 91, no. 6, p. 1222-1238, https://doi.org/10.1111/1365-2656.13545.","productDescription":"17 p.","startPage":"1222","endPage":"1238","ipdsId":"IP-127735","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":449813,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13545","text":"Publisher Index Page"},{"id":387294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Cayuela, Hugo","contributorId":245931,"corporation":false,"usgs":false,"family":"Cayuela","given":"Hugo","email":"","affiliations":[{"id":49366,"text":"1Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Pavillon Charles-Eugène-Marchand, Québec, QC G1V 0A6, Canada","active":true,"usgs":false}],"preferred":false,"id":819498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorant, Yann","contributorId":261214,"corporation":false,"usgs":false,"family":"Dorant","given":"Yann","email":"","affiliations":[{"id":52775,"text":"Université Laval, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":819499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forester, Brenna R.","contributorId":261215,"corporation":false,"usgs":false,"family":"Forester","given":"Brenna","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":819500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jeffries, Dan L","contributorId":261216,"corporation":false,"usgs":false,"family":"Jeffries","given":"Dan","email":"","middleInitial":"L","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":819501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":819502,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eby, Lisa A","contributorId":251751,"corporation":false,"usgs":false,"family":"Eby","given":"Lisa A","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":819503,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":819504,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gippet, Jérôme M W","contributorId":261217,"corporation":false,"usgs":false,"family":"Gippet","given":"Jérôme M W","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":819505,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":819506,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Funk, W Chris","contributorId":261218,"corporation":false,"usgs":false,"family":"Funk","given":"W Chris","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":819507,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70224261,"text":"70224261 - 2022 - Estimating the influence of oyster reef chains on freshwater detention at the estuary scale using Landsat-8 imagery","interactions":[],"lastModifiedDate":"2022-01-06T17:19:15.625237","indexId":"70224261","displayToPublicDate":"2021-05-26T07:17:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the influence of oyster reef chains on freshwater detention at the estuary scale using Landsat-8 imagery","docAbstract":"

Oyster reef chains grow in response to local hydrodynamics and can redirect flows, particularly when reef chains grow perpendicular to freshwater flow paths. Singularly, oyster reef chains can act as porous dams that may facilitate nearshore accumulation of fresh or low-salinity water, in turn creating intermediate salinities that support oyster growth and estuarine conditions. However, oyster-driven freshwater detention has only been confirmed by limited, point-scale observational data, and simplified models. Oyster reef-driven freshwater detention in real ecosystems at the estuary scale remains largely unexplored. In this study, we analyzed the visible bands in 30-m resolution remote sensing (RS) images recorded by the Operational Land Imager aboard Landsat-8 to characterize the freshwater detention effect of oyster reef chains across a set of hydrologic conditions. Our results support prior findings indicating that 30-m resolution RS images recorded by the Operational Land Imager aboard Landsat-8 are useful for analyzing coastal dynamics after atmospheric correction, despite having been originally designed for terrestrial studies. Statistical models of water-leaving reflectance revealed that freshwater detention by oyster reefs was evident across the estuary, with the greatest effect occurring in the region closest to shore. Additionally, statistical modeling results and spatial patterns apparent in the satellite images suggested that reef-driven freshwater detention occurred under high riverine discharge conditions, but was less evident when flow was low. Beyond offering insight on the potential role of oyster reefs as mediators of estuarine hydrology, this study presents a transferable methodological framework for exploring estuarine biophysical feedbacks in blackwater river estuaries using satellite remote sensing.

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Observations of changes in phenology have provided some of the strongest signals of the effects of climate change on terrestrial ecosystems. The International Tundra Experiment (ITEX), initiated in the early 1990s, established a common protocol to measure plant phenology in tundra study areas across the globe. Today, this valuable collection of phenology measurements depicts the responses of plants at the colder extremes of our planet to experimental and ambient changes in temperature over the past decades. The database contains 150 434 phenology observations of 278 plant species taken at 28 study areas for periods of 1–26 years. Here we describe the full data set to increase the visibility and use of these data in global analyses and to invite phenology data contributions from underrepresented tundra locations. Portions of this tundra phenology database have been used in three recent syntheses, some data sets are expanded, others are from entirely new study areas, and the entirety of these data are now available at the Polar Data Catalogue (https://doi.org/10.21963/13215).

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San Francisco Street, Flagstaff, AZ 86001","active":true,"usgs":false}],"preferred":false,"id":838350,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Rumpf, Sabine B.","contributorId":288865,"corporation":false,"usgs":false,"family":"Rumpf","given":"Sabine","email":"","middleInitial":"B.","affiliations":[{"id":61859,"text":"University of Lausanne, Department of Ecology & Evolution, Bâtiment Biophore, Quartier UNIL-Sorge, 1015 Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":838351,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Schmidt, Niels Martin","contributorId":205119,"corporation":false,"usgs":false,"family":"Schmidt","given":"Niels","email":"","middleInitial":"Martin","affiliations":[],"preferred":false,"id":838352,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Schuur, Ted 0000-0002-1096-2436","orcid":"https://orcid.org/0000-0002-1096-2436","contributorId":206658,"corporation":false,"usgs":false,"family":"Schuur","given":"Ted","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":838353,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Semenchuk, Philipp R.","contributorId":243129,"corporation":false,"usgs":false,"family":"Semenchuk","given":"Philipp","email":"","middleInitial":"R.","affiliations":[{"id":12677,"text":"University of Vienna","active":true,"usgs":false}],"preferred":false,"id":838354,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Smith, Jane Griffin","contributorId":288866,"corporation":false,"usgs":false,"family":"Smith","given":"Jane","email":"","middleInitial":"Griffin","affiliations":[{"id":61860,"text":"Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309-0450","active":true,"usgs":false}],"preferred":false,"id":838355,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Suding, Katharine","contributorId":172858,"corporation":false,"usgs":false,"family":"Suding","given":"Katharine","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":838356,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Totland, Ørjan","contributorId":260922,"corporation":false,"usgs":false,"family":"Totland","given":"Ørjan","affiliations":[{"id":52718,"text":"Norwegian University of Life Sciences, Faculty of Environmental Sciences and Natural Resource Management P.O. 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Resource selection functions (RSFs) have been widely applied to animal tracking data to examine relative habitat selection and to help guide management and conservation strategies. While readily used in terrestrial ecology, RSFs have yet to be extensively used within marine systems. As acoustic telemetry continues to be a pervasive approach within marine environments, incorporation of RSFs can provide new insights to help prioritize habitat protection and restoration to meet conservation goals. To overcome statistical hurdles and achieve high prediction accuracy, machine learning algorithms could be paired with RSFs to predict relative habitat selection for a species within and even outside the monitoring range of acoustic receiver arrays, making this a valuable tool for marine ecologists and resource managers. Here, we apply RSFs using machine learning to an acoustic telemetry dataset of four shark species to explore and predict species-specific habitat selection within a marine protected area. In addition, we also apply this RSF-machine learning approach to investigate predator-prey relationships by comparing and averaging tiger shark relative selection values with the relative selection values derived for eight potential prey-species. We provide methodological considerations along with a framework and flexible approach to apply RSFs with machine learning algorithms to acoustic telemetry data and suggest marine ecologists and resource managers consider adopting such tools to help guide both conservation and management strategies.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2021.631262","usgsCitation":"Griffin, L.P., Casselberry, G.A., Hart, K., Jordaan, A., Becker, S.L., Novak, A.J., DeAngelis, B.M., Pollock, C.G., Lundgren, I., Hillis-Starr, Z., Danylchuk, A.J., and Skomal, G.B., 2022, A novel framework to predict relative habitat selection in aquatic systems: Applying machine learning and resource selection functions to acoustic telemetry data from multiple shark species: Frontiers in Marine Science, v. 8, 631262, 20 p., https://doi.org/10.3389/fmars.2021.631262.","productDescription":"631262, 20 p.","ipdsId":"IP-124469","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":449826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.631262","text":"Publisher Index Page"},{"id":396712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States Virgin Islands","otherGeospatial":"Buck Island Reef National Monument, St Croix","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -64.6329116821289,\n 17.77892988840236\n ],\n [\n -64.60733413696289,\n 17.77892988840236\n ],\n [\n -64.60733413696289,\n 17.794785108241047\n ],\n [\n -64.6329116821289,\n 17.794785108241047\n ],\n [\n -64.6329116821289,\n 17.77892988840236\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2021-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffin, Lucas P.","contributorId":265636,"corporation":false,"usgs":false,"family":"Griffin","given":"Lucas","email":"","middleInitial":"P.","affiliations":[{"id":54744,"text":"Department of Environmental Conservation, University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":836934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casselberry, Grace A.","contributorId":287602,"corporation":false,"usgs":false,"family":"Casselberry","given":"Grace","email":"","middleInitial":"A.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":836935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":836936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordaan, Adrian","contributorId":257709,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":836937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Becker, Sarah L.","contributorId":287603,"corporation":false,"usgs":false,"family":"Becker","given":"Sarah","email":"","middleInitial":"L.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":836938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Novak, Ashleigh J.","contributorId":287604,"corporation":false,"usgs":false,"family":"Novak","given":"Ashleigh","email":"","middleInitial":"J.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":836939,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeAngelis, Bryan M.","contributorId":171555,"corporation":false,"usgs":false,"family":"DeAngelis","given":"Bryan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":836940,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pollock, Clayton G.","contributorId":287605,"corporation":false,"usgs":false,"family":"Pollock","given":"Clayton","email":"","middleInitial":"G.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":836941,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lundgren, Ian","contributorId":179151,"corporation":false,"usgs":false,"family":"Lundgren","given":"Ian","email":"","affiliations":[],"preferred":false,"id":836942,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hillis-Starr, 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dolphins when sharing pectoral fin contacts with their calves","interactions":[],"lastModifiedDate":"2024-09-23T15:39:37.17135","indexId":"70228634","displayToPublicDate":"2021-02-16T14:19:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5550,"text":"Animal Behavior and Cognition","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for maternal style among adult female dolphins when sharing pectoral fin contacts with their calves","docAbstract":"

Adult bottlenose dolphins share pectoral fin contacts (PFC) to manage their social relationships but less is known about how mothers share PFC with their calves. Using a dataset collected over 16 years, we analyzed how 10 matrilines, including three second generation female  dolphins in a maternal role, used PFC with their pre-weaned calves. Mothers had different rates of initiation with their calves forming a continuum from those initiating few contacts (15%) to those initiating more (44%). For mothers with all-aged calves, the lateral side was contacted the most to start interactions with mothers contacting body parts at a similar rate. All mothers assumed the same posture regardless of their role as initiator or receiver, with horizontal the most prevalent posture. Two maternal styles were found for PFC: high and low use of PFC. Within the high PFC group, there was individual variation that was related to calf sex. Even though evidence of maternal style was confirmed in PFC exchanges between adult female dolphins and their calves, the number of PFC shared between these kin was only ~9% of all documented PFC contacts (N = 4,345) over 16 years, suggesting that other forms of  tactile contact may be  more important within  the confines of  the mother-offspring relationship in delphinids.

","language":"English","publisher":"Elsevier","doi":"10.26451/abc.08.01.05.2021","usgsCitation":"Dudzinski, K.M., Ribic, C., Manitzas Hill, H.M., and Bolton, T., 2022, Evidence for maternal style among adult female dolphins when sharing pectoral fin contacts with their calves: Animal Behavior and Cognition, v. 8, no. 1, p. 52-68, https://doi.org/10.26451/abc.08.01.05.2021.","productDescription":"17 p.","startPage":"52","endPage":"68","ipdsId":"IP-113244","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26451/abc.08.01.05.2021","text":"Publisher Index Page"},{"id":462139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Honduras","otherGeospatial":"Bailey’s Key, Roatan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.57883167266846,\n 16.32594661242069\n ],\n [\n -86.57033443450928,\n 16.32594661242069\n ],\n [\n -86.57033443450928,\n 16.33216543582161\n ],\n [\n -86.57883167266846,\n 16.33216543582161\n ],\n [\n -86.57883167266846,\n 16.32594661242069\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dudzinski, Kathleen M.","contributorId":279358,"corporation":false,"usgs":false,"family":"Dudzinski","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[{"id":56353,"text":"Dolphin Communication Project","active":true,"usgs":false}],"preferred":false,"id":834897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manitzas Hill, Heather M.","contributorId":279359,"corporation":false,"usgs":false,"family":"Manitzas Hill","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":16961,"text":"Saint Mary's University","active":true,"usgs":false}],"preferred":false,"id":834898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bolton, Teresa T.","contributorId":279360,"corporation":false,"usgs":false,"family":"Bolton","given":"Teresa T.","affiliations":[{"id":56942,"text":"The Roatan Institute for Marine Sciences","active":true,"usgs":false}],"preferred":false,"id":834899,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227954,"text":"70227954 - 2022 - River floodplain abandonment and channel deepening coincide with the onset of clear-cut logging in a coastal California redwood forest","interactions":[],"lastModifiedDate":"2022-03-28T16:47:00.826195","indexId":"70227954","displayToPublicDate":"2021-02-02T09:48:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"River floodplain abandonment and channel deepening coincide with the onset of clear-cut logging in a coastal California redwood forest","docAbstract":"

Changes in both land use and climate can alter the balance of transport capacity and sediment supply in rivers. Hence, the primary driver of recent incision or aggradation in alluvial channels is often unclear. The San Lorenzo River on the central coast of California is one location where both climate and land use—specifically, clear-cut forestry of coastal redwoods—could explain recent vertical incision and floodplain abandonment. At our field site on the San Lorenzo, we estimate the magnitude of recent incision using both the ratio of bankfull to critical Shields numbers (τbf*/τc*\">\uD835\uDF0F∗\uD835\uDC4F\uD835\uDC53/\uD835\uDF0F∗\uD835\uDC50) and the geomorphically effective discharge, calculated from historical gauge data. The Shields number ratio suggests that the normalized bankfull stress of the San Lorenzo River is in the upper 1–2% of West Coast rivers, and the effective discharge corresponds to flow depths ~2–4 m below current bankfull conditions. Radiocarbon ages from detrital charcoal in floodplain sediment reveal active floodplain deposition during the 1600s and possibly into the 1800s, constraining the timing of incision to the last few centuries. Multiple hanging tributaries above the mainstem San Lorenzo River, along with patterns in vegetation on terrace surfaces, corroborate our estimates of the magnitude and timing of incision. Taken together, our findings suggest that floodplain abandonment in this reach was mainly due to methods employed during logging that increased shear stress on the channel bed and reduced sediment storage capacity. We suggest that direct channel modifications in rivers can counterbalance increases in sediment delivery due to clear-cutting, resulting in channel incision rather than aggradation. Today, a young, lower surface appears to be forming adjacent to the San Lorenzo River, which we interpret as an incipient floodplain that is in equilibrium with modern sediment supply and transport capacity.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.5299","usgsCitation":"Chapman, W.A., Finnegan, N.J., Pfeiffer, A.M., and La Selle, S., 2022, River floodplain abandonment and channel deepening coincide with the onset of clear-cut logging in a coastal California redwood forest: Earth Surface Processes and Landforms, v. 47, no. 4, p. 994-1012, https://doi.org/10.1002/esp.5299.","productDescription":"19 p.","startPage":"994","endPage":"1012","ipdsId":"IP-127500","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":449846,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5299","text":"Publisher Index Page"},{"id":436066,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZT7ZOX","text":"USGS data release","linkHelpText":"Vibracore CT scans from the San Lorenzo River"},{"id":395272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Lorenzo River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.09209442138673,\n 37.02379869410646\n ],\n [\n -122.04591751098631,\n 37.02379869410646\n ],\n [\n -122.04591751098631,\n 37.08065395744942\n ],\n [\n -122.09209442138673,\n 37.08065395744942\n ],\n [\n -122.09209442138673,\n 37.02379869410646\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Chapman, William A. L. 0000-0003-1056-4830","orcid":"https://orcid.org/0000-0003-1056-4830","contributorId":273226,"corporation":false,"usgs":false,"family":"Chapman","given":"William","email":"","middleInitial":"A. L.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":832690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finnegan, Noah J.","contributorId":198803,"corporation":false,"usgs":false,"family":"Finnegan","given":"Noah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfeiffer, Allison M. 0000-0002-3974-132X","orcid":"https://orcid.org/0000-0002-3974-132X","contributorId":273227,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"Allison","email":"","middleInitial":"M.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":832692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":832693,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217755,"text":"70217755 - 2022 - Sr, Nd, Hf and Pb isotope geochemistry of Early Miocene shoshonitic lavas from the South Fiji Basin: Note","interactions":[],"lastModifiedDate":"2022-08-01T16:46:20.858468","indexId":"70217755","displayToPublicDate":"2021-01-28T11:13:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2869,"text":"New Zealand Journal of Geology and Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Sr, Nd, Hf and Pb isotope geochemistry of Early Miocene shoshonitic lavas from the South Fiji Basin: Note","docAbstract":"

We present new Sr, Nd, Hf and Pb isotope data for Early Miocene shoshonitic and high-K lavas dredged from seamounts in the South Fiji Basin, southwest Pacific Ocean. Our analyses provide a useful reference dataset for this distinctive compositional suite. The shoshonitic lavas formed in an intra-oceanic back-arc basin setting and are broadly coeval with nearby arc and back-arc basin lavas. Further work in the region will be needed before the tectonic implications of the shoshonitic and high-K lavas are fully understood.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00288306.2021.1876110","usgsCitation":"Mortimer, N., Bosch, D., Laporte-Magoni, C., Todd, E., and Gill, J.B., 2022, Sr, Nd, Hf and Pb isotope geochemistry of Early Miocene shoshonitic lavas from the South Fiji Basin: Note: New Zealand Journal of Geology and Geophysics, v. 65, no. 2, p. 374-379, https://doi.org/10.1080/00288306.2021.1876110.","productDescription":"6 p.","startPage":"374","endPage":"379","ipdsId":"IP-123815","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":382852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Mortimer, Nick","contributorId":248599,"corporation":false,"usgs":false,"family":"Mortimer","given":"Nick","email":"","affiliations":[{"id":49959,"text":"GNS Science, Dunedin New Zealand","active":true,"usgs":false}],"preferred":false,"id":809488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bosch, Delphine","contributorId":248600,"corporation":false,"usgs":false,"family":"Bosch","given":"Delphine","email":"","affiliations":[{"id":49960,"text":"Université Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":809489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laporte-Magoni, Christine","contributorId":248601,"corporation":false,"usgs":false,"family":"Laporte-Magoni","given":"Christine","email":"","affiliations":[{"id":49961,"text":"Université de Nouvelle Calédonnie, New Caledonia","active":true,"usgs":false}],"preferred":false,"id":809490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":809491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gill, James B 0000-0003-2584-9687","orcid":"https://orcid.org/0000-0003-2584-9687","contributorId":248602,"corporation":false,"usgs":false,"family":"Gill","given":"James","email":"","middleInitial":"B","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":809492,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236763,"text":"70236763 - 2022 - S2HM must be real-time or not?","interactions":[],"lastModifiedDate":"2022-09-19T14:43:55.68425","indexId":"70236763","displayToPublicDate":"2021-01-11T09:36:51","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"S2HM must be real-time or not?","title":"S2HM must be real-time or not?","docAbstract":"

Seismic structural health monitoring (S2HM) has advanced significantly in the last three decades. However, currently there is no consensus on the need for real-time processing of data acquired during an earthquake. Numerous applications exist whereby S2HM-equipped systems record valuable seismic response data. A delayed use of the seismic data prohibits timely discovery of hidden damages in a structure which, in turn, possibly increases its vulnerability during events to follow – with increased risk to occupants. Such risks are of particular concern when, for example, there are long-distance/long period effects e.g. for tall buildings and long-span bridges that are significantly affected by events that originate at far distances. These phenomena necessitate near real-time monitored data to make timely data-based informed decisions on the health or performance of the affected structure. The paper discusses criteria for functionality and occupiability thresholds in actual applications.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"European workshop on structural health monitoring: Special collection of 2020 papers - Volume 1","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","doi":"10.1007/978-3-030-64594-6_2","usgsCitation":"Celebi, M., and Limongelli, M., 2022, S2HM must be real-time or not?, in European workshop on structural health monitoring: Special collection of 2020 papers - Volume 1, v. 1, p. 12-22, https://doi.org/10.1007/978-3-030-64594-6_2.","productDescription":"11 p.","startPage":"12","endPage":"22","ipdsId":"IP-116213","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489182,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11311/1158710","text":"External Repository"},{"id":406958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationDate":"2021-01-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Limongelli, Maria","contributorId":296668,"corporation":false,"usgs":false,"family":"Limongelli","given":"Maria","email":"","affiliations":[{"id":64123,"text":"Politechnique of Milan, Italy","active":true,"usgs":false}],"preferred":false,"id":852117,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70224637,"text":"70224637 - 2022 - Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment","interactions":[],"lastModifiedDate":"2021-10-01T13:05:23.963158","indexId":"70224637","displayToPublicDate":"2020-11-25T08:01:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment","docAbstract":"

Tungsten (W) is used in a variety of industrial and technological applications and has been identified as a critical mineral for the United States, India, the European Union, and other countries. These countries rely on W imports mostly from China, which leaves them vulnerable to supply disruption. Consequently, the U.S. government has a current initiative to understand domestic resource potential. The eastern Alaska portion of the Yukon-Tanana Upland (YTU), is prospective for W skarn deposits, the major source of global W supply. The regional geology consists of juxtaposed Paleozoic lithotectonic packages that were reaccreted to North America in the Mesozoic. Multiple subsequent episodes of arc-related magmatism intruded the lithotectonic packages, accompanied by W skarn formation mostly associated with 100–90 Ma intrusions; major W skarn deposits in Canada are part of the same metallogenic event (e.g., Mactung, Cantung). In this paper, we present an assessment for undiscovered W skarn resources for parts of the lesser-explored western (Alaskan) portion of the YTU.

We used GIS proximity analysis to map the intersection of pluton and carbonate-bearing rocks to define three permissive tracts for W skarn deposits. The permissive tracts were qualitatively assessed by mineral potential mapping using region-wide sediment geochemistry and mineral concentrate datasets. This analysis showed that much of the western YTU has high potential for undiscovered W skarn deposits, whereas the eastern and southern YTU had only isolated areas of medium to high potential. Historical production and the quality of the geochemistry data of the western YTU tract (ca. 9200 km2) permitted a quantitative assessment of undiscovered W resources. Probabilistic estimates by a panel of 20 experts predicted a 70% chance of one to three undiscovered W skarn deposits in the western YTU tract. The rationale for favorability employed by the expert panel included favorable lithology, previous production, clustering of previously mined deposits, W placers in the area, lack of recent exploration, pan concentrates containing W minerals, and W geochemical anomalies. Estimates were combined with a global grade and tonnage model for W skarns in a Monte Carlo simulation and provided a median estimate of undiscovered resources of 94 kt WO3. If the undiscovered W skarn deposits are located close to infrastructure (e.g., near Fairbanks, or close to roads and/or power grid), application of an economic filter indicates that the median total economically recoverable WO3 is 63 kt with a net present value (NPV) of $330 million USD (2008 dollars). Whereas if deposits are far from infrastructure, median recoverable WO3 is only 30 kt and the NPV is $44 million.

Our models for contained WO3 resources and NPV estimates for the western YTU tract are considerably lower than the known resources in skarns in adjacent areas in Canada. Estimates for the western YTU are also lower than preliminary estimates for undiscovered W skarn deposits in areas of the western conterminous United States. We speculate that lower permeability and continuity of favorable carbonate rock horizons in the relatively higher-grade metamorphic country rocks in the Alaska portion of the YTU may explain some of the differences in prospectivity. More detailed geologic mapping, modern geochemistry, and geophysical surveys are needed to refine the resource potential of the whole YTU. Regardless, quantitative mineral resource assessment provides a useful tool for making first-order regional estimates of undiscovered resources, identifying target areas for new data acquisition, and guiding research on the fundamental controls of district-scale metallogenic endowments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2020.106700","usgsCitation":"Case, G.N., Graham, G.E., Marsh, E.E., Taylor, R., Green, C.J., Brown, P.J., and Labay, K.A., 2022, Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment: Journal of Geochemical Exploration, v. 232, 106700, 21 p., https://doi.org/10.1016/j.gexplo.2020.106700.","productDescription":"106700, 21 p.","ipdsId":"IP-119358","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":449855,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2020.106700","text":"Publisher Index Page"},{"id":436068,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TDKQE4","text":"USGS data release","linkHelpText":"Qualitative Mineral Potential Map of Tungsten Skarn in the Yukon-Tanana Uplands, Eastern Alaska, USA, 2021"},{"id":390107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.3359375,\n 63.35212928507874\n ],\n [\n -141.240234375,\n 63.35212928507874\n ],\n [\n -141.240234375,\n 67.23806155909902\n ],\n [\n -154.3359375,\n 67.23806155909902\n ],\n [\n -154.3359375,\n 63.35212928507874\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"232","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":824473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, Erin E. 0000-0001-5245-9532 emarsh@usgs.gov","orcid":"https://orcid.org/0000-0001-5245-9532","contributorId":1250,"corporation":false,"usgs":true,"family":"Marsh","given":"Erin","email":"emarsh@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Ryan D. 0000-0002-8845-5290","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":201948,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Carlin J. 0000-0002-6557-6268 cjgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6557-6268","contributorId":193013,"corporation":false,"usgs":true,"family":"Green","given":"Carlin","email":"cjgreen@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Philip J. 0000-0002-2415-7462 pbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-2415-7462","contributorId":759,"corporation":false,"usgs":true,"family":"Brown","given":"Philip","email":"pbrown@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":824477,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":217714,"corporation":false,"usgs":true,"family":"Labay","given":"Keith","email":"klabay@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":824478,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216361,"text":"70216361 - 2022 - Identifying turbulence features hindering swimming capabilities of grass carp larvae (Ctenopharyngodon idella) through submerged vegetation","interactions":[],"lastModifiedDate":"2022-03-28T15:21:31.846619","indexId":"70216361","displayToPublicDate":"2020-11-10T09:05:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5513,"text":"Journal of Ecohydraulics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Identifying turbulence features hindering swimming capabilities of grass carp larvae (Ctenopharyngodon idella) through submerged vegetation","title":"Identifying turbulence features hindering swimming capabilities of grass carp larvae (Ctenopharyngodon idella) through submerged vegetation","docAbstract":"

Aquatic vegetation can provide habitat and refuge for a variety of species in streams. However, the flow features generated by submerged patches of vegetation can also pose a challenge for fish larvae. We conducted a series of experiments with live grass carp larvae (starting ∼50 h post hatch) in a laboratory racetrack flume, using a submerged array of rigid cylinders to mimic vegetation. We used particle image velocimetry to characterize the flow field, and particle tracking velocimetry to obtain position and displacement of the fish. Four speeds and two submergence ratios were investigated. In contrast with previous studies with grass carp eggs, our data showed an active response from larvae to determine their position. Our study shows that: (1) mean velocity by itself is not a reliable predictor, as some larvae will seemingly prefer to be in areas of higher speeds with lower shear and turbulence, (2) turbulence characteristics can be used to identify areas avoided by larvae, (3) turbulence length scales are relevant to determine spatial distribution of larvae and their swimming capabilities within and above vegetated patches and similar roughness elements in streams. These findings can inform the design of monitoring and control strategies in rivers based on turbulence and turbulence scales generated by natural and man-made instream structures.

","language":"English","publisher":"Taylor and Francis","doi":"10.1080/24705357.2020.1835566","usgsCitation":"Tinoco, R.O., Prada, A.F., George, A.E., Stahlschmidt, B.H., Jackson, P.R., and Chapman, D., 2022, Identifying turbulence features hindering swimming capabilities of grass carp larvae (Ctenopharyngodon idella) through submerged vegetation: Journal of Ecohydraulics, v. 7, no. 1, p. 4-16, https://doi.org/10.1080/24705357.2020.1835566.","productDescription":"13 p.","startPage":"4","endPage":"16","ipdsId":"IP-120184","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":449857,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/24705357.2020.1835566","text":"Publisher Index Page"},{"id":436069,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P81CUX","text":"USGS data release","linkHelpText":"Swimming speeds of grass carp in response to turbulence"},{"id":380505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Tinoco, Rafael O.","contributorId":211779,"corporation":false,"usgs":false,"family":"Tinoco","given":"Rafael","email":"","middleInitial":"O.","affiliations":[{"id":38317,"text":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","active":true,"usgs":false}],"preferred":false,"id":804803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prada, Andres F.","contributorId":211778,"corporation":false,"usgs":false,"family":"Prada","given":"Andres","email":"","middleInitial":"F.","affiliations":[{"id":38317,"text":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","active":true,"usgs":false}],"preferred":false,"id":804804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":804805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahlschmidt, Benjamin H. 0000-0001-6197-662X","orcid":"https://orcid.org/0000-0001-6197-662X","contributorId":211250,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Benjamin","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":804806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":804808,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222132,"text":"70222132 - 2022 - Environmental evolution of peat in the Sacramento – San Joaquin Delta (California) during the Middle and Late Holocene as deduced from pollen, diatoms and magnetism","interactions":[],"lastModifiedDate":"2022-04-11T16:29:49.277945","indexId":"70222132","displayToPublicDate":"2020-05-31T06:55:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Environmental evolution of peat in the Sacramento – San Joaquin Delta (California) during the Middle and Late Holocene as deduced from pollen, diatoms and magnetism","docAbstract":"

We studied the sequence of climatic and hydrological events associated with the formation of peat during the Holocene, using pollen, diatoms and environmental magnetism from peat cores at three locations in the Sacramento-San Joaquin Delta of California: Browns Island, Franks Wetland and Webb Track Levee. Our data show that peat first formed under relatively dry conditions in a freshwater environment before 6.5 ka BP. Subsequently, pollen accumulation rates were highest prior to intervals with high peat accretion rates but are inversely correlated with organic accumulation rate. Intervals of high peat accretion were preceded by pulses of terrigenous material. During intensive drainage episodes, high flows delivered abundant, coarser-grained sediment to the marshes, which inundated the existing vegetation and decreased the rate of biochemical decay. The build-up of undecomposed organic material led to the acceleration of peat accretion. Our data support the rarely discussed hypothesis that most of the peat in the Sacramento-San Joaquin Delta formed in freshwater marshes that were fed by rivers draining from the Sierra Nevada, rather than in saltwater wetlands resulting from sea level rise and estuarine submergence. This result has important implications for current attempts to remediate and restore the Delta ecosystem.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2020.05.012","usgsCitation":"Delusina, I., Starratt, S.W., and Verosub, K.L., 2022, Environmental evolution of peat in the Sacramento – San Joaquin Delta (California) during the Middle and Late Holocene as deduced from pollen, diatoms and magnetism: Quaternary International, v. 621, p. 50-61, https://doi.org/10.1016/j.quaint.2020.05.012.","productDescription":"12 p.","startPage":"50","endPage":"61","ipdsId":"IP-090434","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2020.05.012","text":"Publisher Index Page"},{"id":387320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Sacramento","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.728515625,\n 38.39764411353178\n ],\n [\n -121.23138427734375,\n 38.39764411353178\n ],\n [\n -121.23138427734375,\n 38.732661120482334\n ],\n [\n -121.728515625,\n 38.732661120482334\n ],\n [\n -121.728515625,\n 38.39764411353178\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"621","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Delusina, Irina","contributorId":261263,"corporation":false,"usgs":false,"family":"Delusina","given":"Irina","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":819619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":819620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verosub, Kenneth L","contributorId":261264,"corporation":false,"usgs":false,"family":"Verosub","given":"Kenneth","email":"","middleInitial":"L","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":819621,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210168,"text":"70210168 - 2022 - Understanding rates of change: A case study using fossil pollen records from California to assess the potential for and challenges to a regional data synthesis","interactions":[],"lastModifiedDate":"2022-03-28T15:18:58.547052","indexId":"70210168","displayToPublicDate":"2020-05-15T09:23:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Understanding rates of change: A case study using fossil pollen records from California to assess the potential for and challenges to a regional data synthesis","docAbstract":"

Insights into the rates at which ecosystems and vegetation respond to a changing climate is fundamental to anticipating impacts of projected climate change. Characterization of vegetation change over millennia to centuries has potential to make an important contribution toward this goal, and regional scale syntheses of fossil pollen data can provide the foundation for this understanding. However, challenges of data analysis and integration are nontrivial. Here we present a case study in which publicly available fossil pollen data for California are assessed and analyzed. The data are selected according to a clearly defined selection criteria, and a Rate of Change (RoC) value is calculated to assess rates of vegetation change in California from ~15k BP (before A.D. 1950) to the present. Our results highlight several challenges presented by the extant data sets, including temporal sampling variation within and between records, large age control uncertainties, and sparse, geographically biased coverage. Recommendations for methodological refinements to better characterize ecological rates of change include increasing sampling frequency, maintaining a consistent temporal spacing within records, and applying probabilistic approaches to existing pollen data sets.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2020.04.044","usgsCitation":"Anderson, L., Wahl, D., and Bhattacharya, T., 2022, Understanding rates of change: A case study using fossil pollen records from California to assess the potential for and challenges to a regional data synthesis: Quaternary International, v. 621, p. 26-36, https://doi.org/10.1016/j.quaint.2020.04.044.","productDescription":"11 p.","startPage":"26","endPage":"36","ipdsId":"IP-102226","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449879,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2020.04.044","text":"Publisher Index Page"},{"id":374920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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techniques, or productivity of small-scale miners. This study proposes new methods to map and monitor the extent and changes in small-scale mining in remote and inaccessible terrain by integrating multispectral remote sensing analysis with archival geologic data and three-dimensional topographic change detection to examine emerald deposit zones and mining activity in the Panjshir Valley. Specifically, previously mapped geologic units known to host emeralds were re-analyzed using Landsat multispectral analysis to investigate the potential distribution of mining activity. Interpretation of very fine-resolution satellite imagery showed that mining activity is becoming more concentrated and transitioning from traditional tunneling methods to mechanized surface excavation. Finally, topographic change analysis of mechanized mine sites was combined with archival grade data to estimate production and consider improved recovery methods by small-scale miners.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10106049.2020.1716394","usgsCitation":"DeWitt, J.D., Chirico, P.G., O’Pry, K.L., and Bergstresser, S.E., 2022, Mapping the extent and methods of small-scale emerald mining in the Panjshir Valley, Afghanistan: Geocarto International, v. 37, no. 1, p. 246-267, https://doi.org/10.1080/10106049.2020.1716394.","productDescription":"22 p.","startPage":"246","endPage":"267","ipdsId":"IP-109069","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":449883,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10106049.2020.1716394","text":"Publisher Index Page"},{"id":375305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Afghanistan","otherGeospatial":"Panjshir Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 67.763671875,\n 34.125447565116126\n ],\n [\n 70.9716796875,\n 34.125447565116126\n ],\n [\n 70.9716796875,\n 35.99578538642032\n ],\n [\n 67.763671875,\n 35.99578538642032\n ],\n [\n 67.763671875,\n 34.125447565116126\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"DeWitt, Jessica D. 0000-0002-8281-8134 jdewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-8134","contributorId":5804,"corporation":false,"usgs":true,"family":"DeWitt","given":"Jessica","email":"jdewitt@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":790309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G. 0000-0001-8375-5342","orcid":"https://orcid.org/0000-0001-8375-5342","contributorId":63838,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter","email":"","middleInitial":"G.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":790310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Pry, Kelsey L. 0000-0002-1589-4372","orcid":"https://orcid.org/0000-0002-1589-4372","contributorId":219734,"corporation":false,"usgs":false,"family":"O’Pry","given":"Kelsey","email":"","middleInitial":"L.","affiliations":[{"id":33043,"text":"Natural Systems Analysts, Inc.","active":true,"usgs":false}],"preferred":false,"id":790320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergstresser, Sarah E. 0000-0003-0182-5779 sbergstresser@usgs.gov","orcid":"https://orcid.org/0000-0003-0182-5779","contributorId":195556,"corporation":false,"usgs":true,"family":"Bergstresser","given":"Sarah","email":"sbergstresser@usgs.gov","middleInitial":"E.","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":790321,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}