{"pageNumber":"416","pageRowStart":"10375","pageSize":"25","recordCount":165309,"records":[{"id":70219048,"text":"70219048 - 2022 - Evaluation of Indoor PM2.5 concentrations in a Native American community: A pilot study","interactions":[],"lastModifiedDate":"2022-08-15T13:49:53.583403","indexId":"70219048","displayToPublicDate":"2021-08-04T10:05:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7777,"text":"Journal of Exposure Science and Environmental Epidemiology (JESEE)","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluation of Indoor PM2.5 concentrations in a Native American community: A pilot study","title":"Evaluation of Indoor PM2.5 concentrations in a Native American community: A pilot study","docAbstract":"

Background

Indoor air pollution is associated with adverse health effects; however, few studies exist studying indoor air pollution on the Navajo Nation in the southwest U.S., a community with high rates of respiratory disease.

Methods

Indoor PM2.5 concentration was evaluated in 26 homes on the Navajo Nation using real-time PM2.5 monitors. Household risk factors and daily activities were evaluated with three metrics of indoor PM2.5: time-weighted average (TWA), 90th percentile of concentration, and daily minutes exceeding 100 μg/m3. A questionnaire and recall sheet were used to record baseline household characteristics and daily activities.

Results

The median TWA, 90th percentile, and daily minutes exceeding 100 μg/m3 were 7.9 μg/m3, 14.0 μg/m3, and 17 min, respectively. TWAs tended to be higher in autumn and in houses that used fuel the previous day. Other characteristics associated with elevated PM exposure in all metrics included overcrowded houses, nonmobile houses, and houses with current smokers, pets, and longer cooking time.

Conclusions

Some residents of the Navajo Nation have higher risk of exposure to indoor air pollution by Environmental Protection Agency (EPA) standards. Efforts to identify the causes and associations with adverse health effects are needed to ensure that exposure to risks and possible health impacts are mitigated.

","language":"English","publisher":"Nature Publications","doi":"10.1038/s41370-021-00373-x","usgsCitation":"Ji, N., Rule, A., Weatherholtz, R., Crosby, L.M., Bunnell, J.E., Orem, W.H., Reid, R.R., Santosham, M., Hammitt, L.L., and O’Brien, K.L., 2022, Evaluation of Indoor PM2.5 concentrations in a Native American community: A pilot study: Journal of Exposure Science and Environmental Epidemiology (JESEE), v. 32, p. 554-562, https://doi.org/10.1038/s41370-021-00373-x.","productDescription":"9 p.","startPage":"554","endPage":"562","ipdsId":"IP-109250","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":449762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41370-021-00373-x","text":"Publisher Index Page"},{"id":398733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","noUsgsAuthors":false,"publicationDate":"2021-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Ji, Nan","contributorId":255551,"corporation":false,"usgs":false,"family":"Ji","given":"Nan","email":"","affiliations":[{"id":51582,"text":"Department of Environmental and Occupational Health, Rutgers University School of","active":true,"usgs":false}],"preferred":false,"id":812564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rule, Ana","contributorId":255552,"corporation":false,"usgs":false,"family":"Rule","given":"Ana","affiliations":[{"id":51583,"text":"Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School","active":true,"usgs":false}],"preferred":false,"id":812565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weatherholtz, Robert","contributorId":255553,"corporation":false,"usgs":false,"family":"Weatherholtz","given":"Robert","email":"","affiliations":[{"id":51584,"text":"Center for Native American Health, Johns Hopkins Bloomberg School of Public Helath,","active":true,"usgs":false}],"preferred":false,"id":812566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crosby, Lynn M. lcrosby@usgs.gov","contributorId":369,"corporation":false,"usgs":true,"family":"Crosby","given":"Lynn","email":"lcrosby@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bunnell, Joseph E. jbunnell@usgs.gov","contributorId":556,"corporation":false,"usgs":true,"family":"Bunnell","given":"Joseph","email":"jbunnell@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":812568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812569,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reid, Raymond R.","contributorId":255555,"corporation":false,"usgs":false,"family":"Reid","given":"Raymond","email":"","middleInitial":"R.","affiliations":[{"id":51584,"text":"Center for Native American Health, Johns Hopkins Bloomberg School of Public Helath,","active":true,"usgs":false}],"preferred":false,"id":812570,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Santosham, Mathuram","contributorId":255556,"corporation":false,"usgs":false,"family":"Santosham","given":"Mathuram","email":"","affiliations":[{"id":51584,"text":"Center for Native American Health, Johns Hopkins Bloomberg School of Public Helath,","active":true,"usgs":false}],"preferred":false,"id":812571,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hammitt, Laura L.","contributorId":255557,"corporation":false,"usgs":false,"family":"Hammitt","given":"Laura","email":"","middleInitial":"L.","affiliations":[{"id":51584,"text":"Center for Native American Health, Johns Hopkins Bloomberg School of Public Helath,","active":true,"usgs":false}],"preferred":false,"id":812572,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"O’Brien, Katherine L.","contributorId":255558,"corporation":false,"usgs":false,"family":"O’Brien","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":51584,"text":"Center for Native American Health, Johns Hopkins Bloomberg School of Public Helath,","active":true,"usgs":false}],"preferred":false,"id":812573,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70229703,"text":"70229703 - 2022 - Understanding the effects of climate change via disturbance on pristine arctic lakes — Multitrophic level response and recovery to a 12-yr, low-level fertilization experiment","interactions":[],"lastModifiedDate":"2022-04-12T13:46:22.68099","indexId":"70229703","displayToPublicDate":"2021-08-02T09:51:18","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":"Understanding the effects of climate change via disturbance on pristine arctic lakes — Multitrophic level response and recovery to a 12-yr, low-level fertilization experiment","docAbstract":"

Effects of climate change-driven disturbance on lake ecosystems can be subtle; indirect effects include increased nutrient loading that could impact ecosystem function. We designed a low-level fertilization experiment to mimic persistent, climate change-driven disturbances (deeper thaw, greater weathering, or thermokarst failure) delivering nutrients to arctic lakes. We measured responses of pelagic trophic levels over 12 yr in a fertilized deep lake with fish and a shallow fishless lake, compared to paired reference lakes, and monitored recovery for 6 yr. Relative to prefertilization in the deep lake, we observed a maximum pelagic response in chl a (+201%), dissolved oxygen (DO, −43%), and zooplankton biomass (+88%) during the fertilization period (2001–2012). Other responses to fertilization, such as water transparency and fish relative abundance, were delayed, but both ultimately declined. Phyto- and zooplankton biomass and community composition shifted with fertilization. The effects of fertilization were less pronounced in the paired shallow lakes, because of a natural thermokarst failure likely impacting the reference lake. In the deep lake there was (a) moderate resistance to change in ecosystem functions at all trophic levels, (b) eventual responses were often nonlinear, and (c) postfertilization recovery (return) times were most rapid at the base of the food web (2–4 yr) while higher trophic levels failed to recover after 6 yr. The timing and magnitude of responses to fertilization in these arctic lakes were similar to responses in other lakes, suggesting indirect effects of climate change that modify nutrient inputs may affect many lakes in the future.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11893","usgsCitation":"Budy, P., Pennock, C., Giblin, A.E., Luecke, C., White, D.L., and Kling, G., 2022, Understanding the effects of climate change via disturbance on pristine arctic lakes — Multitrophic level response and recovery to a 12-yr, low-level fertilization experiment: Limnology and Oceanography, v. 67, no. S1, p. S224-S241, https://doi.org/10.1002/lno.11893.","productDescription":"18 p.","startPage":"S224","endPage":"S241","ipdsId":"IP-129828","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449764,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.11893","text":"Publisher Index Page"},{"id":397154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Toolik Field Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.8642578125,\n 68.24089575900885\n ],\n [\n -148.73291015625,\n 68.24089575900885\n ],\n [\n -148.73291015625,\n 68.87143872335129\n ],\n [\n -150.8642578125,\n 68.87143872335129\n ],\n [\n -150.8642578125,\n 68.24089575900885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"S1","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":838019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pennock, Casey A.","contributorId":287044,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":838020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giblin, Anne E.","contributorId":103966,"corporation":false,"usgs":true,"family":"Giblin","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":838021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luecke, Chris","contributorId":239659,"corporation":false,"usgs":false,"family":"Luecke","given":"Chris","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":838022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, D. L.","contributorId":288498,"corporation":false,"usgs":false,"family":"White","given":"D.","email":"","middleInitial":"L.","affiliations":[{"id":61777,"text":"wh","active":true,"usgs":false}],"preferred":false,"id":838023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kling, George","contributorId":120446,"corporation":false,"usgs":true,"family":"Kling","given":"George","email":"","affiliations":[],"preferred":false,"id":838024,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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":70240891,"text":"70240891 - 2022 - Potential role for microbial ureolysis in the rapid formation of carbonate tufa mounds","interactions":[],"lastModifiedDate":"2023-02-28T12:41:34.192522","indexId":"70240891","displayToPublicDate":"2021-08-02T06:38:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1751,"text":"Geobiology","active":true,"publicationSubtype":{"id":10}},"title":"Potential role for microbial ureolysis in the rapid formation of carbonate tufa mounds","docAbstract":"

Modern carbonate tufa towers in the alkaline (~pH 9.5) Big Soda Lake (BSL), Nevada, exhibit rapid precipitation rates (exceeding 3 cm/year) and host diverse microbial communities. Geochemical indicators reveal that carbonate precipitation is, in part, promoted by the mixing of calcium-rich groundwater and carbonate-rich lake water, such that a microbial role for carbonate precipitation is unknown. Here, we characterize the BSL microbial communities and evaluate their potential effects on carbonate precipitation that may influence fast carbonate precipitation rates of the active tufa mounds of BSL. Small subunit rRNA gene surveys indicate a diverse microbial community living endolithically, in interior voids, and on tufa surfaces. Metagenomic DNA sequencing shows that genes associated with metabolisms that are capable of increasing carbonate saturation (e.g., photosynthesis, ureolysis, and bicarbonate transport) are abundant. Enzyme activity assays revealed that urease and carbonic anhydrase, two microbial enzymes that promote carbonate precipitation, are active in situ in BSL tufa biofilms, and urease also increased calcium carbonate precipitation rates in laboratory incubation analyses. We propose that, although BSL tufas form partially as a result of water mixing, tufa-inhabiting microbiota promote rapid carbonate authigenesis via ureolysis, and potentially via bicarbonate dehydration and CO2 outgassing by carbonic anhydrase. Microbially induced calcium carbonate precipitation in BSL tufas may generate signatures preserved in the carbonate microfabric, such as stromatolitic layers, which could serve as models for developing potential biosignatures on Earth and elsewhere.

","language":"English","publisher":"Wiley","doi":"10.1111/gbi.12467","usgsCitation":"Medina Ferrer, F., Rosen, M., Russell, V.V., Feyhl-Buska, J., Sonderholm, F., Loyd, S., Shapiro, R., Stamps, B.W., Petryshyn, V., Demirel-Floyd, C., Bailey, J.V., Johnson, H.A., Spear, J.R., and Corsetti, F., 2022, Potential role for microbial ureolysis in the rapid formation of carbonate tufa mounds: Geobiology, v. 20, no. 1, p. 79-97, https://doi.org/10.1111/gbi.12467.","productDescription":"19 p.","startPage":"79","endPage":"97","ipdsId":"IP-114311","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":413465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Medina Ferrer, Fernando 0000-0001-9864-7627","orcid":"https://orcid.org/0000-0001-9864-7627","contributorId":238171,"corporation":false,"usgs":false,"family":"Medina Ferrer","given":"Fernando","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":865200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael R. 0000-0003-3991-0522","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":224435,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Virginia V.","contributorId":302713,"corporation":false,"usgs":false,"family":"Russell","given":"Virginia","email":"","middleInitial":"V.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":865202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feyhl-Buska, Jayme","contributorId":302714,"corporation":false,"usgs":false,"family":"Feyhl-Buska","given":"Jayme","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":865203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sonderholm, Fredrik","contributorId":302715,"corporation":false,"usgs":false,"family":"Sonderholm","given":"Fredrik","email":"","affiliations":[{"id":12672,"text":"University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":865204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loyd, Sean","contributorId":302716,"corporation":false,"usgs":false,"family":"Loyd","given":"Sean","email":"","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":865205,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shapiro, Russell","contributorId":302717,"corporation":false,"usgs":false,"family":"Shapiro","given":"Russell","email":"","affiliations":[{"id":40943,"text":"California State University, Chico","active":true,"usgs":false}],"preferred":false,"id":865206,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stamps, Blake W.","contributorId":176485,"corporation":false,"usgs":false,"family":"Stamps","given":"Blake","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":865207,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Petryshyn, Victoria","contributorId":293634,"corporation":false,"usgs":false,"family":"Petryshyn","given":"Victoria","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":865208,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Demirel-Floyd, Cansu","contributorId":292063,"corporation":false,"usgs":false,"family":"Demirel-Floyd","given":"Cansu","email":"","affiliations":[{"id":62818,"text":"School of Geosciences, University of Oklahoma, Norman, OK, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":865209,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bailey, Jake V. 0000-0002-7655-5200","orcid":"https://orcid.org/0000-0002-7655-5200","contributorId":238173,"corporation":false,"usgs":false,"family":"Bailey","given":"Jake","email":"","middleInitial":"V.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":865210,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, Hope A","contributorId":293637,"corporation":false,"usgs":false,"family":"Johnson","given":"Hope","email":"","middleInitial":"A","affiliations":[{"id":63349,"text":"California State University Fullerton","active":true,"usgs":false}],"preferred":false,"id":865211,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Spear, John R.","contributorId":176847,"corporation":false,"usgs":false,"family":"Spear","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":865212,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Corsetti, Frank A","contributorId":293642,"corporation":false,"usgs":false,"family":"Corsetti","given":"Frank A","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":865213,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"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 38.41916639395372\n ],\n [\n -75.223388671875,\n 38.64261790634527\n ],\n [\n -75.35522460937499,\n 38.79690830348427\n ],\n [\n -75.498046875,\n 38.87392853923629\n ],\n [\n -75.5419921875,\n 39.0533181067413\n ],\n [\n -75.662841796875,\n 39.30029918615029\n ],\n [\n -75.750732421875,\n 39.70718665682654\n ],\n [\n -75.6298828125,\n 40.052847601823984\n ],\n [\n -75.69580078125,\n 40.07807142745009\n ],\n [\n -75.95947265625,\n 40.052847601823984\n ],\n [\n -76.0693359375,\n 40.069664523297774\n ],\n [\n -76.058349609375,\n 40.18726672309203\n ],\n [\n -75.9375,\n 40.29628651711716\n ],\n [\n -75.91552734375,\n 40.3549167507906\n ],\n [\n -75.89355468749999,\n 40.47202439692057\n ],\n [\n -76.09130859375,\n 40.56389453066509\n ],\n [\n -76.190185546875,\n 40.64730356252251\n ],\n [\n -76.0693359375,\n 40.75557964275589\n ],\n [\n -75.83862304687499,\n 40.871987756697415\n ],\n [\n -75.76171875,\n 40.91351257612758\n ],\n [\n -75.706787109375,\n 40.95501133048621\n ],\n [\n -75.7177734375,\n 41.071069130806414\n ],\n [\n -75.662841796875,\n 41.1455697310095\n ],\n [\n -75.5419921875,\n 41.13729606112276\n ],\n [\n -75.322265625,\n 41.104190944576466\n ],\n [\n -75.377197265625,\n 41.22824901518529\n ],\n [\n -75.377197265625,\n 41.28606238749825\n ],\n [\n -75.377197265625,\n 41.43449030894922\n ],\n [\n -75.399169921875,\n 41.6154423246811\n ],\n [\n -75.34423828125,\n 41.68111756290652\n ],\n [\n -75.2783203125,\n 41.91045347666418\n ],\n [\n -75.38818359375,\n 42.00848901572399\n ],\n [\n -75.377197265625,\n 42.09007006868398\n ],\n [\n -75.223388671875,\n 42.17968819665961\n ],\n [\n -74.970703125,\n 42.26917949243506\n ],\n [\n -74.8388671875,\n 42.32606244456202\n ],\n [\n -74.520263671875,\n 42.415346114253616\n ],\n [\n -74.278564453125,\n 42.54498667313236\n ],\n [\n -74.322509765625,\n 42.64204079304426\n ],\n [\n -74.410400390625,\n 42.80346172417078\n ],\n [\n -74.68505859374999,\n 42.924251753870685\n ],\n [\n -75.069580078125,\n 42.98053954751642\n ],\n [\n -75.38818359375,\n 42.96446257387128\n ],\n [\n -75.684814453125,\n 42.93229601903058\n ],\n [\n -75.9375,\n 42.87596410238256\n ],\n [\n -76.201171875,\n 42.827638636242284\n ],\n [\n -76.26708984375,\n 42.72280375732727\n ],\n [\n -76.2890625,\n 42.601619944327965\n ],\n [\n -76.2890625,\n 42.52069952914966\n ],\n [\n -76.343994140625,\n 42.415346114253616\n ],\n [\n -76.46484375,\n 42.382894009614034\n ],\n [\n -76.640625,\n 42.431565872579185\n ],\n [\n -76.7724609375,\n 42.39912215986002\n ],\n [\n -76.80541992187499,\n 42.24478535602799\n ],\n [\n -76.88232421875,\n 42.285437007491545\n ],\n [\n -76.9482421875,\n 42.415346114253616\n ],\n [\n -77.04711914062499,\n 42.44778143462245\n ],\n [\n -77.14599609375,\n 42.415346114253616\n ],\n [\n -77.2998046875,\n 42.382894009614034\n ],\n [\n -77.222900390625,\n 42.54498667313236\n ],\n [\n -77.442626953125,\n 42.69858589169842\n ],\n [\n -77.574462890625,\n 42.60970621339408\n ],\n [\n -77.640380859375,\n 42.48830197960227\n ],\n [\n -77.728271484375,\n 42.439674178149424\n ],\n [\n -77.6513671875,\n 42.31793945446847\n ],\n [\n -77.596435546875,\n 42.22851735620852\n ],\n [\n -77.5634765625,\n 42.09007006868398\n ],\n [\n -77.6953125,\n 41.92680320648791\n ],\n [\n -77.9150390625,\n 41.83682786072714\n ],\n [\n -78.0908203125,\n 41.795888098191426\n ],\n [\n -78.453369140625,\n 41.599013054830216\n ],\n [\n -78.453369140625,\n 41.50857729743935\n ],\n [\n -78.42041015625,\n 41.376808565702355\n ],\n [\n -78.3984375,\n 41.21172151054787\n ],\n [\n -78.519287109375,\n 41.054501963290505\n ],\n [\n -78.541259765625,\n 40.9218144123785\n ],\n [\n -78.409423828125,\n 40.713955826286046\n ],\n [\n -78.299560546875,\n 40.55554790286311\n ],\n [\n -78.343505859375,\n 40.48873742102282\n ],\n [\n -78.475341796875,\n 40.30466538259176\n ],\n [\n -78.64013671875,\n 40.06125658140474\n ],\n [\n -78.826904296875,\n 39.9434364619742\n ],\n [\n -78.848876953125,\n 39.80853604144591\n ],\n [\n -78.85986328125,\n 39.715638134796336\n ],\n [\n -78.99169921875,\n 39.69873414348139\n ],\n [\n -79.046630859375,\n 39.64799732373418\n ],\n [\n -79.266357421875,\n 39.436192999314095\n ],\n [\n -79.420166015625,\n 39.2832938689385\n ],\n [\n -79.354248046875,\n 39.26628442213066\n ],\n [\n -79.266357421875,\n 39.232253141714885\n ],\n [\n -79.2333984375,\n 39.155622393423215\n ],\n [\n -79.244384765625,\n 39.01918369029134\n ],\n [\n -79.27734374999999,\n 38.89103282648846\n ],\n [\n -79.398193359375,\n 38.74551518488265\n ],\n [\n -79.661865234375,\n 38.54816542304656\n ],\n [\n -79.683837890625,\n 38.47079371120379\n ],\n [\n -79.727783203125,\n 38.34165619279595\n ],\n [\n -79.815673828125,\n 38.20365531807149\n ],\n [\n -80.04638671875,\n 38.013476231041935\n ],\n [\n -80.17822265625,\n 37.779398571318765\n ],\n [\n -80.2880859375,\n 37.59682400108367\n ],\n [\n -80.4638671875,\n 37.47485808497102\n ],\n [\n -80.694580078125,\n 37.38761749978395\n ],\n [\n -80.771484375,\n 37.23032838760387\n ],\n [\n -80.57373046875,\n 37.26530995561875\n ],\n [\n -80.44189453125,\n 37.309014074275915\n ],\n [\n -80.255126953125,\n 37.31775185163688\n ],\n [\n -80.013427734375,\n 37.3002752813443\n ],\n [\n -79.8486328125,\n 37.23907530202184\n ],\n [\n -79.771728515625,\n 37.18657859524883\n ],\n [\n -79.6728515625,\n 37.07271048132943\n ],\n [\n -79.541015625,\n 37.09900294387622\n ],\n [\n -79.354248046875,\n 37.142803443716836\n ],\n [\n -79.1455078125,\n 37.10776507118514\n ],\n [\n -79.112548828125,\n 37.055177106660814\n ],\n [\n -78.936767578125,\n 36.932330061503144\n ],\n [\n -78.837890625,\n 36.94111143010769\n ],\n [\n -78.662109375,\n 37.055177106660814\n ],\n [\n -78.486328125,\n 37.03763967977139\n ],\n [\n -78.42041015625,\n 36.94111143010769\n ],\n [\n -78.20068359374999,\n 36.96744946416934\n ],\n [\n -77.904052734375,\n 37.03763967977139\n ],\n [\n -77.750244140625,\n 37.081475648860525\n ],\n [\n -77.53051757812499,\n 37.081475648860525\n ],\n [\n -77.354736328125,\n 37.07271048132943\n ],\n [\n -77.069091796875,\n 37.081475648860525\n ],\n [\n -76.959228515625,\n 37.01132594307015\n ],\n [\n -76.893310546875,\n 36.932330061503144\n ],\n [\n -76.871337890625,\n 36.83566824724438\n ],\n [\n -76.849365234375,\n 36.677230602346214\n ],\n [\n -76.7724609375,\n 36.527294814546245\n ],\n [\n -76.629638671875,\n 36.55377524336089\n ],\n [\n -76.46484375,\n 36.589068371399115\n ],\n [\n -76.35498046875,\n 36.48314061639213\n ],\n [\n -76.256103515625,\n 36.57142382346277\n ],\n [\n -76.190185546875,\n 36.66841891894786\n ],\n [\n -76.0693359375,\n 36.65079252503471\n ],\n [\n -75.9375,\n 36.66841891894786\n ],\n [\n -75.948486328125,\n 36.76529191711624\n ],\n [\n -75.904541015625,\n 37.01132594307015\n ],\n [\n -75.926513671875,\n 37.17782559332976\n ],\n [\n -75.882568359375,\n 37.42252593456307\n ],\n [\n -75.618896484375,\n 37.640334898059486\n ],\n [\n -75.509033203125,\n 37.82280243352756\n ],\n [\n -75.38818359375,\n 38.013476231041935\n ],\n [\n -75.16845703124999,\n 38.272688535980976\n ],\n [\n -75.1904296875,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bertani, Isabella","contributorId":194574,"corporation":false,"usgs":false,"family":"Bertani","given":"Isabella","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":824991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhatt, Gopal 0000-0002-6627-793X","orcid":"https://orcid.org/0000-0002-6627-793X","contributorId":252963,"corporation":false,"usgs":false,"family":"Bhatt","given":"Gopal","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":824992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shenk, Gary W. 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":70227801,"text":"70227801 - 2022 - High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape","interactions":[],"lastModifiedDate":"2022-03-15T16:56:30.794133","indexId":"70227801","displayToPublicDate":"2021-07-23T15:54:38","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}},"displayTitle":"High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape","title":"High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape","docAbstract":"

Groundwater upwellings provide warmer, stable overwinter temperatures for developing salmon embryos, which may be particularly important in cold, braided, gravel-bed sub-Arctic rivers. We used a three-year time series of aerial counts and remote sensing to estimate the distribution of low and high aggregations of spawning fall chum salmon (Oncorhynchus keta), classify approximately 0.5 km long river segments by geomorphic channel type, and map thermal variability along a 25.4 km stretch of the Teedriinjik River, Alaska. We used a dynamic multistate occupancy model to estimate detectability, occupancy, and the dynamics of spawning aggregations among river segments. Detectability was higher for large (>150) relative to smaller aggregations. Unoccupied segments were likely to remain so from year to year; low abundance spawning segments were dynamic and rarely remained in that state for multiple years, while ∼20%–35% of high abundance segments remained stable, indicating the presence of high-quality spawning habitat. Spawning habitat use was associated with warmer water temperatures likely caused by groundwater upwellings. We identified spawning habitat characteristics and trends in usage by fall chum salmon, which will inform land management decisions and assist in evaluating impacts of shifting climate conditions and resource management on Arctic salmon populations.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0013","usgsCitation":"Clawson, C.M., Falke, J.A., Bailey, L.L., Rose, J., Prakash, A., and Martin, A.E., 2022, High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 3, p. 380-394, https://doi.org/10.1139/cjfas-2021-0013.","productDescription":"15 p.","startPage":"380","endPage":"394","ipdsId":"IP-092932","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Teedriinjik River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -147.28271484375,\n 66.98810916256633\n ],\n [\n -146.37908935546875,\n 66.98810916256633\n ],\n [\n -146.37908935546875,\n 67.11714654279567\n ],\n [\n -147.28271484375,\n 67.11714654279567\n ],\n [\n -147.28271484375,\n 66.98810916256633\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clawson, Chelsea M.","contributorId":272841,"corporation":false,"usgs":false,"family":"Clawson","given":"Chelsea","email":"","middleInitial":"M.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":832330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Larissa L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":189578,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":832331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Joshua","contributorId":273053,"corporation":false,"usgs":false,"family":"Rose","given":"Joshua","affiliations":[{"id":13228,"text":"U.S. Fish and Wildlife Service, Arctic National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":832535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prakash, Anupma","contributorId":41101,"corporation":false,"usgs":true,"family":"Prakash","given":"Anupma","affiliations":[],"preferred":false,"id":832332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Aaron E.","contributorId":200419,"corporation":false,"usgs":false,"family":"Martin","given":"Aaron","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":832333,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226450,"text":"70226450 - 2022 - Late Quaternary deglaciation of Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2023-11-06T16:08:22.943696","indexId":"70226450","displayToPublicDate":"2021-07-23T06:31:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary deglaciation of Prince William Sound, Alaska","docAbstract":"

To understand the timing of deglaciation of the northernmost marine-terminating glaciers of the Cordilleran Ice Sheet (CIS), we obtained 26 10Be surface-exposure ages from glacially scoured bedrock surfaces in Prince William Sound (PWS), Alaska. We sampled six elevation transects between sea level and 620 m and spanning a distance of 14 to 70 km along ice flow paths. Most transect age–elevation patterns could not be explained by a simple model of thinning ice; the patterns provide evidence for lingering ice cover and possible inheritance. A reliable set of 20 ages ranges between 17.4 ± 2.0 and 11.6 ± 2.8 ka and indicates ice receded from northwestern PWS around 14.3 ± 1.6 ka, thinned at a rate of ~120–160 m/ka, and retreated from sea-level sites at 12.9 ± 1.1 ka at a rate of 20 m/yr. The retreat rate likely slowed as glaciers retreated into northern PWS. These results are consistent with the growing body of reported deglacial constraints on collapse of ice sheets along the Alaska margin indicating collapse of the CIS soon after 17 ka. These data are consistent with paleotemperature data indicating that a warming North Pacific Ocean caused catastrophic collapse of this part of the CIS.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2021.33","usgsCitation":"Haeussler, P., Matmon, A., Arnold, M., Aumaitre, G., Bourles, D., and Keddadouche, K., 2022, Late Quaternary deglaciation of Prince William Sound, Alaska: Quaternary Research, v. 105, p. 115-134, https://doi.org/10.1017/qua.2021.33.","productDescription":"20 p.","startPage":"115","endPage":"134","ipdsId":"IP-125952","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":449776,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/qua.2021.33","text":"Publisher Index Page"},{"id":391851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149,\n 60\n ],\n [\n -147,\n 60\n ],\n [\n -147,\n 61.25\n ],\n [\n -149,\n 61.25\n ],\n [\n -149,\n 60\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"105","noUsgsAuthors":false,"publicationDate":"2021-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":826944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matmon, Ari","contributorId":196405,"corporation":false,"usgs":false,"family":"Matmon","given":"Ari","email":"","affiliations":[],"preferred":false,"id":826945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, Maurice","contributorId":269392,"corporation":false,"usgs":false,"family":"Arnold","given":"Maurice","email":"","affiliations":[],"preferred":false,"id":827000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aumaitre, Georges","contributorId":269393,"corporation":false,"usgs":false,"family":"Aumaitre","given":"Georges","email":"","affiliations":[],"preferred":false,"id":827001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bourles, Didier","contributorId":269394,"corporation":false,"usgs":false,"family":"Bourles","given":"Didier","email":"","affiliations":[],"preferred":false,"id":827002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keddadouche, Karim","contributorId":269395,"corporation":false,"usgs":false,"family":"Keddadouche","given":"Karim","email":"","affiliations":[],"preferred":false,"id":827003,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222585,"text":"70222585 - 2022 - Temporal and petrogenetic links between Mesoproterozoic alkaline and carbonatite magmas at Mountain Pass, California","interactions":[],"lastModifiedDate":"2021-11-26T17:49:19.982303","indexId":"70222585","displayToPublicDate":"2021-07-22T06:31:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and petrogenetic links between Mesoproterozoic alkaline and carbonatite magmas at Mountain Pass, California","docAbstract":"

Mountain Pass is the site of the most economically important rare earth element (REE) deposit in the United States. Mesoproterozoic alkaline intrusions are spatiotemporally associated with a composite carbonatite stock that hosts REE ore. Understanding the genesis of the alkaline and carbonatite magmas is an essential scientific goal for a society in which critical minerals are in high demand and will continue to be so for the foreseeable future. We present an ion microprobe study of zircon crystals in shonkinite and syenite intrusions to establish geochronological and geochemical constraints on the igneous underpinnings of the Mountain Pass REE deposit. Silicate whole-rock compositions occupy a broad spectrum (50–72 wt % SiO2), are ultrapotassic (6–9 wt % K2O; K2O/Na2O = 2–9), and have highly elevated concentrations of REEs (La 500–1,100× chondritic). Zircon concordia 206Pb/238U-207Pb/235U ages determined for shonkinite and syenite units are 1409 ± 8, 1409 ± 12, 1410 ± 8, and 1415 ± 6 Ma (2σ). Most shonkinite dikes are dominated by inherited Paleoproterozoic xenocrysts, but there are sparse primary zircons with 207Pb/206Pb ages of 1390–1380 ± 15 Ma for the youngest grains. Our new zircon U-Pb ages for shonkinite and syenite units overlap published monazite Th-Pb ages for the carbonatite orebody and a smaller carbonatite dike. Inherited zircons in shonkinite and syenite units are ubiquitous and have a multimodal distribution of 207Pb/206Pb ages that cluster in the range of 1785–1600 ± 10–30 Ma. Primary zircons have generally lower Hf (<11,000 ppm) and higher Eu/Eu* (>0.6), Th (>300 ppm), Th/U (>1), and Ti-in-zircon temperatures (>800°C) than inherited zircons. Oxygen isotope data reveals a large range in δ18O values for primary zircons, from mantle (5–5.5‰) to crustal and supracrustal (7–9‰). A couple of low-δ18O outliers (2‰) point to a component of shallow crust altered by meteoric water. The δ18O range of inherited zircons (5–10‰) overlaps that of the primary zircons. Our study supports a model in which alkaline and carbonatite magmatism occurred over tens of millions of years, repeatedly tapping a metasomatized mantle source, which endowed magmas with elevated REEs and other diagnostic components (e.g., F, Ba). Though this metasomatized mantle region existed for the duration of Mountain Pass magmatism, it probably did not predate magmatism by substantial geologic time (>100 m.y.), based on the similarity of 1500 Ma zircons with the dominantly 1800–1600 Ma inherited zircons, as opposed to the 1450–1350 Ma primary zircons. Mountain Pass magmas had diverse crustal inputs from assimilation of Paleoproterozoic and Mesoproterozoic igneous, metaigneous, and metasedimentary rocks. Crustal assimilation is only apparent from high spatial resolution zircon analyses and underscores the need for mineral-scale approaches in understanding the genesis of the Mountain Pass system.

","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4848","usgsCitation":"Watts, K., Haxel, G.B., and Miller, D., 2022, Temporal and petrogenetic links between Mesoproterozoic alkaline and carbonatite magmas at Mountain Pass, California: Economic Geology, v. 117, no. 1, p. 1-23, https://doi.org/10.5382/econgeo.4848.","productDescription":"23 p.","startPage":"1","endPage":"23","ipdsId":"IP-123131","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449779,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.4848","text":"Publisher Index Page"},{"id":436062,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UE4HFE","text":"USGS data release","linkHelpText":"Geochemistry, geochronology, and isotope geochemistry data for rocks and zircons from Mountain Pass, California"},{"id":387730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southeast California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.71874999999999,\n 34.813803317113155\n ],\n [\n -115.400390625,\n 34.813803317113155\n ],\n [\n -115.400390625,\n 36.527294814546245\n ],\n [\n -116.71874999999999,\n 36.527294814546245\n ],\n [\n -116.71874999999999,\n 34.813803317113155\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haxel, Gordon B. 0000-0002-6722-7803 gbhaxel@usgs.gov","orcid":"https://orcid.org/0000-0002-6722-7803","contributorId":261783,"corporation":false,"usgs":true,"family":"Haxel","given":"Gordon","email":"gbhaxel@usgs.gov","middleInitial":"B.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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":70254791,"text":"70254791 - 2022 - An integrated path for spatial capture–recapture and animal movement modeling","interactions":[],"lastModifiedDate":"2024-06-10T15:51:14.737168","indexId":"70254791","displayToPublicDate":"2021-07-16T10:45:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"An integrated path for spatial capture–recapture and animal movement modeling","docAbstract":"

Ecologists and conservation biologists increasingly rely on spatial capture–recapture (SCR) and movement modeling to study animal populations. Historically, SCR has focused on population-level processes (e.g., vital rates, abundance, density, and distribution), whereas animal movement modeling has focused on the behavior of individuals (e.g., activity budgets, resource selection, migration). Even though animal movement is clearly a driver of population-level patterns and dynamics, technical and conceptual developments to date have not forged a firm link between the two fields. Instead, movement modeling has typically focused on the individual level without providing a coherent scaling from individual- to population-level processes, whereas SCR has typically focused on the population level while greatly simplifying the movement processes that give rise to the observations underlying these models. In our view, the integration of SCR and animal movement modeling has tremendous potential for allowing ecologists to scale up from individuals to populations and advancing the types of inferences that can be made at the intersection of population, movement, and landscape ecology. Properly accounting for complex animal movement processes can also potentially reduce bias in estimators of population-level parameters, thereby improving inferences that are critical for species conservation and management. This introductory article to the Special Feature reviews recent advances in SCR and animal movement modeling, establishes a common notation, highlights potential advantages of linking individual-level (Lagrangian) movements to population-level (Eulerian) processes, and outlines a general conceptual framework for the integration of movement and SCR models. We then identify important avenues for future research, including key challenges and potential pitfalls in the developments and applications that lie ahead.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3473","usgsCitation":"McClintock, B., Abrahms, B., Chandler, R., Conn, P., Converse, S.J., Emmet, R., Gardner, B., Hostetter, N., and Johnson, D., 2022, An integrated path for spatial capture–recapture and animal movement modeling: Ecology, e03473, 21 p., https://doi.org/10.1002/ecy.3473.","productDescription":"e03473, 21 p.","ipdsId":"IP-124731","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.3473","text":"Publisher Index Page"},{"id":429768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"McClintock, Brett T.","contributorId":337619,"corporation":false,"usgs":false,"family":"McClintock","given":"Brett T.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":902580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahms, Briana","contributorId":337620,"corporation":false,"usgs":false,"family":"Abrahms","given":"Briana","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":902581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandler, Richard","contributorId":337621,"corporation":false,"usgs":false,"family":"Chandler","given":"Richard","affiliations":[{"id":24699,"text":"UGA","active":true,"usgs":false}],"preferred":false,"id":902582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conn, Paul B.","contributorId":337622,"corporation":false,"usgs":false,"family":"Conn","given":"Paul B.","affiliations":[{"id":24699,"text":"UGA","active":true,"usgs":false}],"preferred":false,"id":902583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":902579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emmet, Robbie","contributorId":337623,"corporation":false,"usgs":false,"family":"Emmet","given":"Robbie","email":"","affiliations":[{"id":40853,"text":"UE","active":true,"usgs":false}],"preferred":false,"id":902584,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gardner, Beth","contributorId":337624,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":902585,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hostetter, Nathan J.","contributorId":337625,"corporation":false,"usgs":false,"family":"Hostetter","given":"Nathan J.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":902586,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Devin S.","contributorId":337626,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin S.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":902587,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70226452,"text":"70226452 - 2022 - Local climate adaptations in two ubiquitous Mojave Desert shrub species, Ambrosia dumosa and Larrea tridentata","interactions":[],"lastModifiedDate":"2022-05-13T14:06:19.442959","indexId":"70226452","displayToPublicDate":"2021-07-15T06:59:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Local climate adaptations in two ubiquitous Mojave Desert shrub species, Ambrosia dumosa and Larrea tridentata","title":"Local climate adaptations in two ubiquitous Mojave Desert shrub species, Ambrosia dumosa and Larrea tridentata","docAbstract":"
  1. Widely distributed species are often locally adapted to climate gradients across their ranges. But little is known about the patterns of intraspecific adaptation in desert shrubs.
  2. We examined the questions of local adaptation in multiple populations of two common shrub species of the winter-wet Mojave Desert in North America in a multiple common garden experiment. Plants were raised in the greenhouse and transplanted at the age of 1 year. Ambrosia dumosa is a drought-deciduous low shrub and Larrea tridentata is an exceptionally long-lived evergreen. Over 4 years, we monitored growth, survivorship, leaf and reproductive cover and once measured leaf N content, δ13C and SLA. We hypothesized that populations of both species would be differentiated along a growth–survivorship trade-off according to homesite aridity.
  3. Both species exhibited previously undocumented population differences along gradients of winter precipitation and temperature. In general, populations from more winter-mesic regions had faster growth in more mesic gardens and lower survivorship in the most arid garden. Homesites with more variable summer precipitation had greater growth for A. dumosa populations, but lower growth for L. tridentata. Among L. tridentata populations, leaf cover correlated positively with growth and negatively with survival time. For A. dumosa populations, growth and survival could not be attributed to specific traits across gardens. However, larger transplants had generally lower growth rates and higher survival rates across gardens, except in the driest garden, where the population averages of intrinsic water use efficiency (iWUE) and stem growth rate were positively correlated.
  4. Synthesis. Two dominant species of the Mojave Desert adapted locally to variation in winter and summer precipitation and temperature. They did so in different ways, suggesting that L. tridentata mitigated the risk of hydraulic failure, while A. dumosa optimized carbon assimilation for growth.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13747","usgsCitation":"Custer, N., Schwinning, S., DeFalco, L., and Esque, T., 2022, Local climate adaptations in two ubiquitous Mojave Desert shrub species, Ambrosia dumosa and Larrea tridentata: Journal of Ecology, v. 110, no. 5, p. 1072-1089, https://doi.org/10.1111/1365-2745.13747.","productDescription":"18 p.","startPage":"1072","endPage":"1089","ipdsId":"IP-122846","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":449788,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13747","text":"Publisher Index Page"},{"id":436063,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99F9GDV","text":"USGS data release","linkHelpText":"Ecotypic Variation in Ambrosia dumosa and Larrea tridentata from Three Sites Across the Mojave (2014 - 2018)"},{"id":391859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.71874999999999,\n 34.379712580462176\n ],\n [\n -114.34570312499999,\n 34.379712580462176\n ],\n [\n -114.34570312499999,\n 36.27970720524017\n ],\n [\n -116.71874999999999,\n 36.27970720524017\n ],\n [\n -116.71874999999999,\n 34.379712580462176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Custer, Nathan A.","contributorId":269352,"corporation":false,"usgs":false,"family":"Custer","given":"Nathan A.","affiliations":[{"id":55936,"text":"Texas State University - San Marcos","active":true,"usgs":false}],"preferred":false,"id":826946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwinning, Susan","contributorId":269353,"corporation":false,"usgs":false,"family":"Schwinning","given":"Susan","email":"","affiliations":[{"id":55936,"text":"Texas State University - San Marcos","active":true,"usgs":false}],"preferred":false,"id":826947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFalco, Lesley A. 0000-0002-7542-9261","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":208658,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":826948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":826949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"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":70228759,"text":"70228759 - 2022 - Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems","interactions":[],"lastModifiedDate":"2022-02-18T15:07:23.972221","indexId":"70228759","displayToPublicDate":"2021-07-07T08:10:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems","docAbstract":"

Non-forest ecosystems, dominated by shrubs, grasses and herbaceous plants, provide ecosystem services including carbon sequestration and forage for grazing, and are highly sensitive to climatic changes. Yet these ecosystems are poorly represented in remotely sensed biomass products and are undersampled by in situ monitoring. Current global change threats emphasize the need for new tools to capture biomass change in non-forest ecosystems at appropriate scales. Here we developed and deployed a new protocol for photogrammetric height using unoccupied aerial vehicle (UAV) images to test its capability for delivering standardized measurements of biomass across a globally distributed field experiment. We assessed whether canopy height inferred from UAV photogrammetry allows the prediction of aboveground biomass (AGB) across low-stature plant species by conducting 38 photogrammetric surveys over 741 harvested plots to sample 50 species. We found mean canopy height was strongly predictive of AGB across species, with a median adjusted R2 of 0.87 (ranging from 0.46 to 0.99) and median prediction error from leave-one-out cross-validation of 3.9%. Biomass per-unit-of-height was similar within but different among, plant functional types. We found that photogrammetric reconstructions of canopy height were sensitive to wind speed but not sun elevation during surveys. We demonstrated that our photogrammetric approach produced generalizable measurements across growth forms and environmental settings and yielded accuracies as good as those obtained from in situ approaches. We demonstrate that using a standardized approach for UAV photogrammetry can deliver accurate AGB estimates across a wide range of dynamic and heterogeneous ecosystems. Many academic and land management institutions have the technical capacity to deploy these approaches over extents of 1–10 ha−1. Photogrammetric approaches could provide much-needed information required to calibrate and validate the vegetation models and satellite-derived biomass products that are essential to understand vulnerable and understudied non-forested ecosystems around the globe.

","language":"English","publisher":"Wiley","doi":"10.1002/rse2.228","usgsCitation":"Cunliffe, A., Anderson, K., Boschetti, F., Brazier, R.E., Graham, H.A., Myers-Smith, I.H., Astor, T., Boer, M.M., Calvo, L.G., Clark, P., Cramer, M.D., Encinas-Lara, M.S., Escarzaga, S.M., Fisher, A., Fernandez-Guisuraga, J.M., Gdulova, K., Gillespie, B.M., Griebel, A., Hanan, N.P., Hanggito, M.S., Haselberger, S., Havrilla, C.A., Heilman, P., Ji, W., Karl, J., Kraushaar, S., Mauritz, M., Lyons, M., Marzolff, I., McIntire, C.D., Metzen, D., Mendez-Barroso, L.A., Power, S.C., Prosek, J., Sanz-Ablanedo, E., Sauer, K.J., Schulze-Bruninghoff, D., Simova, P., Sitch, S., Smit, J.L., Steele, C.M., Suarez-Seoane, S., Vargas, S.A., Visser, F., Villarreal, M.L., Wachendorf, M., Wirnsberger, H., and Wojcikiewicz, R., 2022, Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems: Remote Sensing in Ecology and Conservation, v. 8, no. 1, p. 57-71, https://doi.org/10.1002/rse2.228.","productDescription":"15 p.","startPage":"57","endPage":"71","ipdsId":"IP-116952","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":449792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.228","text":"Publisher Index Page"},{"id":396172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Cunliffe, Andrew 0000-0002-8346-4278","orcid":"https://orcid.org/0000-0002-8346-4278","contributorId":279669,"corporation":false,"usgs":false,"family":"Cunliffe","given":"Andrew","email":"","affiliations":[{"id":57332,"text":"Department of Geography, College of Life and Environmental Sciences, University of Exeter, Exeter","active":true,"usgs":false}],"preferred":false,"id":835335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Karen","contributorId":279724,"corporation":false,"usgs":false,"family":"Anderson","given":"Karen","email":"","affiliations":[],"preferred":false,"id":835406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boschetti, Fabio","contributorId":279725,"corporation":false,"usgs":false,"family":"Boschetti","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":835407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brazier, Richard E.","contributorId":279726,"corporation":false,"usgs":false,"family":"Brazier","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":835408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, Hugh A.","contributorId":279727,"corporation":false,"usgs":false,"family":"Graham","given":"Hugh","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":835409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Myers-Smith, Isla H. 0000-0002-8417-6112","orcid":"https://orcid.org/0000-0002-8417-6112","contributorId":169406,"corporation":false,"usgs":false,"family":"Myers-Smith","given":"Isla","email":"","middleInitial":"H.","affiliations":[{"id":25497,"text":"University of Edinburgh","active":true,"usgs":false}],"preferred":false,"id":835410,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Astor, Thomas","contributorId":279728,"corporation":false,"usgs":false,"family":"Astor","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":835411,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Boer, Matthias M.","contributorId":279729,"corporation":false,"usgs":false,"family":"Boer","given":"Matthias","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835412,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Calvo, Leonor G.","contributorId":279730,"corporation":false,"usgs":false,"family":"Calvo","given":"Leonor","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":835413,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clark, Patrick","contributorId":6951,"corporation":false,"usgs":true,"family":"Clark","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":835414,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cramer, Michael D.","contributorId":139159,"corporation":false,"usgs":false,"family":"Cramer","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":12665,"text":"University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":835415,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Encinas-Lara, Miguel S.","contributorId":279731,"corporation":false,"usgs":false,"family":"Encinas-Lara","given":"Miguel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":835416,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Escarzaga, Stephen M.","contributorId":279732,"corporation":false,"usgs":false,"family":"Escarzaga","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835417,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Fisher, Adrian","contributorId":279734,"corporation":false,"usgs":false,"family":"Fisher","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":835418,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Fernandez-Guisuraga, Jose M","contributorId":279733,"corporation":false,"usgs":false,"family":"Fernandez-Guisuraga","given":"Jose","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":835419,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gdulova, Katerina","contributorId":279735,"corporation":false,"usgs":false,"family":"Gdulova","given":"Katerina","email":"","affiliations":[],"preferred":false,"id":835420,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gillespie, Breahna M.","contributorId":279736,"corporation":false,"usgs":false,"family":"Gillespie","given":"Breahna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835421,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Griebel, Anne","contributorId":279737,"corporation":false,"usgs":false,"family":"Griebel","given":"Anne","email":"","affiliations":[],"preferred":false,"id":835422,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hanan, Niall P","contributorId":197060,"corporation":false,"usgs":false,"family":"Hanan","given":"Niall","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":835423,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hanggito, Muhammed S.","contributorId":279738,"corporation":false,"usgs":false,"family":"Hanggito","given":"Muhammed","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":835424,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Haselberger, Stefan","contributorId":279739,"corporation":false,"usgs":false,"family":"Haselberger","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":835425,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Havrilla, Caroline A. 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":146326,"corporation":false,"usgs":true,"family":"Havrilla","given":"Caroline","email":"","middleInitial":"A.","affiliations":[{"id":16669,"text":"U of CO, Boulder","active":true,"usgs":false},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":835426,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Heilman, Phil","contributorId":43282,"corporation":false,"usgs":true,"family":"Heilman","given":"Phil","email":"","affiliations":[],"preferred":false,"id":835427,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Ji, Wenjie","contributorId":279740,"corporation":false,"usgs":false,"family":"Ji","given":"Wenjie","affiliations":[],"preferred":false,"id":835428,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Karl, Jason W.","contributorId":22616,"corporation":false,"usgs":true,"family":"Karl","given":"Jason W.","affiliations":[],"preferred":false,"id":835429,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Kraushaar, Sabine","contributorId":279742,"corporation":false,"usgs":false,"family":"Kraushaar","given":"Sabine","email":"","affiliations":[],"preferred":false,"id":835430,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Mauritz, Marguerite E.","contributorId":279744,"corporation":false,"usgs":false,"family":"Mauritz","given":"Marguerite E.","affiliations":[],"preferred":false,"id":835431,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Lyons, Mitchell","contributorId":192343,"corporation":false,"usgs":false,"family":"Lyons","given":"Mitchell","email":"","affiliations":[],"preferred":false,"id":835432,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Marzolff, Irene","contributorId":279743,"corporation":false,"usgs":false,"family":"Marzolff","given":"Irene","email":"","affiliations":[],"preferred":false,"id":835433,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"McIntire, C. D.","contributorId":35274,"corporation":false,"usgs":false,"family":"McIntire","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":835434,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Metzen, Daniel","contributorId":279745,"corporation":false,"usgs":false,"family":"Metzen","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":835435,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Mendez-Barroso, Luis A.","contributorId":279746,"corporation":false,"usgs":false,"family":"Mendez-Barroso","given":"Luis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":835436,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Power, Simon C.","contributorId":279747,"corporation":false,"usgs":false,"family":"Power","given":"Simon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":835437,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Prosek, Jiri","contributorId":279748,"corporation":false,"usgs":false,"family":"Prosek","given":"Jiri","email":"","affiliations":[],"preferred":false,"id":835438,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Sanz-Ablanedo, Enoc","contributorId":279749,"corporation":false,"usgs":false,"family":"Sanz-Ablanedo","given":"Enoc","email":"","affiliations":[],"preferred":false,"id":835439,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Sauer, Katherine J.","contributorId":279750,"corporation":false,"usgs":false,"family":"Sauer","given":"Katherine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":835440,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Schulze-Bruninghoff, Damian","contributorId":279751,"corporation":false,"usgs":false,"family":"Schulze-Bruninghoff","given":"Damian","email":"","affiliations":[],"preferred":false,"id":835441,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Simova, Petra","contributorId":279752,"corporation":false,"usgs":false,"family":"Simova","given":"Petra","email":"","affiliations":[],"preferred":false,"id":835442,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Sitch, Stephen","contributorId":97620,"corporation":false,"usgs":true,"family":"Sitch","given":"Stephen","affiliations":[],"preferred":false,"id":835443,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Smit, Julian L.","contributorId":279753,"corporation":false,"usgs":false,"family":"Smit","given":"Julian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":835444,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Steele, Caiti M.","contributorId":279754,"corporation":false,"usgs":false,"family":"Steele","given":"Caiti","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835445,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Suarez-Seoane, Susana","contributorId":279755,"corporation":false,"usgs":false,"family":"Suarez-Seoane","given":"Susana","email":"","affiliations":[],"preferred":false,"id":835446,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Vargas, Sergio A.","contributorId":279756,"corporation":false,"usgs":false,"family":"Vargas","given":"Sergio","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":835447,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835336,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Visser, Fleur","contributorId":279757,"corporation":false,"usgs":false,"family":"Visser","given":"Fleur","email":"","affiliations":[],"preferred":false,"id":835448,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Wachendorf, Michael","contributorId":279758,"corporation":false,"usgs":false,"family":"Wachendorf","given":"Michael","email":"","affiliations":[],"preferred":false,"id":835449,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Wirnsberger, Hannes","contributorId":279759,"corporation":false,"usgs":false,"family":"Wirnsberger","given":"Hannes","email":"","affiliations":[],"preferred":false,"id":835450,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Wojcikiewicz, Robert","contributorId":279760,"corporation":false,"usgs":false,"family":"Wojcikiewicz","given":"Robert","email":"","affiliations":[],"preferred":false,"id":835451,"contributorType":{"id":1,"text":"Authors"},"rank":48}]}} ,{"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":70233450,"text":"70233450 - 2022 - Metabolic flexibility of aerobic methanotrophs under anoxic conditions in Arctic lake sediments","interactions":[],"lastModifiedDate":"2022-07-21T14:20:54.621936","indexId":"70233450","displayToPublicDate":"2021-07-01T09:10:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3563,"text":"The ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Metabolic flexibility of aerobic methanotrophs under anoxic conditions in Arctic lake sediments","docAbstract":"

Methane (CH4) emissions from Arctic lakes are a large and growing source of greenhouse gas to the atmosphere with critical implications for global climate. Because Arctic lakes are ice covered for much of the year, understanding the metabolic flexibility of methanotrophs under anoxic conditions would aid in characterizing the mechanisms responsible for limiting CH4 emissions from high-latitude regions. Using sediments from an active CH4 seep in Lake Qalluuraq, Alaska, we conducted DNA-based stable isotope probing (SIP) in anoxic mesocosms and found that aerobic Gammaproteobacterial methanotrophs dominated in assimilating CH4. Aerobic methanotrophs were also detected down to 70 cm deep in sediments at the seep site, where anoxic conditions persist. Metagenomic analyses of the heavy DNA from 13CH4-SIP incubations showed that these aerobic methanotrophs had the capacity to generate intermediates such as methanol, formaldehyde, and formate from CH4 oxidation and to oxidize formaldehyde in the tetrahydromethanopterin (H4MPT)-dependent pathway under anoxic conditions. The high levels of Fe present in sediments, combined with Fe and CH4 profiles in the persistent CH4 seep site, suggested that oxidation of CH4, or, more specifically, its intermediates such as methanol and formaldehyde might be coupled to iron reduction. Aerobic methanotrophs also possessed genes associated with nitrogen and hydrogen metabolism, which might provide potentially alternative energy conservation options under anoxic conditions. These results expand the known metabolic spectrum of aerobic methanotrophs under anoxic conditions and necessitate the re-assessment of the mechanisms underlying CH4 oxidation in the Arctic, especially under lakes that experience extended O2 limitations during ice cover.

","language":"English","publisher":"Springer","doi":"10.1038/s41396-021-01049-y","usgsCitation":"He, R., Wang, J., Pohlman, J., Jia, Z., Chu, Y., Wooller, M.J., and Leigh, M., 2022, Metabolic flexibility of aerobic methanotrophs under anoxic conditions in Arctic lake sediments: The ISME Journal, v. 16, p. 78-90, https://doi.org/10.1038/s41396-021-01049-y.","productDescription":"13 p.","startPage":"78","endPage":"90","ipdsId":"IP-128799","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":449794,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41396-021-01049-y","text":"Publisher Index Page"},{"id":404217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Qalluuraq","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.33983993530273,\n 70.37162716156408\n ],\n [\n -157.3358917236328,\n 70.37301105435802\n ],\n [\n -157.32421875,\n 70.37254976717416\n ],\n [\n -157.32044219970703,\n 70.37390476864225\n ],\n [\n -157.32868194580078,\n 70.37941033946555\n ],\n [\n -157.33580589294434,\n 70.3803325936531\n ],\n [\n -157.34061241149902,\n 70.38269567993811\n ],\n [\n -157.35769271850583,\n 70.38148535282818\n ],\n [\n -157.36258506774902,\n 70.38027495398637\n ],\n [\n -157.3652458190918,\n 70.38027495398637\n ],\n [\n -157.3678207397461,\n 70.37871862149613\n ],\n [\n -157.36679077148438,\n 70.37629742412334\n ],\n [\n -157.35211372375488,\n 70.37600916722498\n ],\n [\n -157.349796295166,\n 70.37534616092293\n ],\n [\n -157.3436164855957,\n 70.37514437212536\n ],\n [\n -157.34121322631833,\n 70.37128117372048\n ],\n [\n -157.33983993530273,\n 70.37162716156408\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Ruoying 0000-0001-6158-2292","orcid":"https://orcid.org/0000-0001-6158-2292","contributorId":202189,"corporation":false,"usgs":false,"family":"He","given":"Ruoying","email":"","affiliations":[],"preferred":false,"id":847115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Jing","contributorId":244863,"corporation":false,"usgs":false,"family":"Wang","given":"Jing","email":"","affiliations":[{"id":49002,"text":"Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China","active":true,"usgs":false}],"preferred":false,"id":847116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohlman, John 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":220804,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":847117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jia, Zhongjun","contributorId":293493,"corporation":false,"usgs":false,"family":"Jia","given":"Zhongjun","email":"","affiliations":[{"id":63313,"text":"State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China","active":true,"usgs":false}],"preferred":false,"id":847118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chu, Yi-Xuan","contributorId":244862,"corporation":false,"usgs":false,"family":"Chu","given":"Yi-Xuan","email":"","affiliations":[{"id":49001,"text":"Department of Environmental Engineering, Zhejiang University","active":true,"usgs":false}],"preferred":false,"id":847119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooller, Matthew J.","contributorId":267776,"corporation":false,"usgs":false,"family":"Wooller","given":"Matthew","middleInitial":"J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":847120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leigh, Mary Beth","contributorId":244868,"corporation":false,"usgs":false,"family":"Leigh","given":"Mary Beth","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":847121,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228963,"text":"70228963 - 2022 - Factors affecting staff support of a voluntary nonlead ammunition outreach program","interactions":[],"lastModifiedDate":"2022-02-25T17:08:30.012033","indexId":"70228963","displayToPublicDate":"2021-06-28T11:02:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":834,"text":"Applied Environmental Education and Communication","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting staff support of a voluntary nonlead ammunition outreach program","docAbstract":"

Lead poisoning from ingestion of bullet fragments in gut piles and unretrieved deer carcasses continues to cause mortality in bald eagles. To address this issue, the Midwest region of the U.S. Fish and Wildlife Service (USFWS) initiated an outreach program during 2016–2018 encouraging hunters to voluntarily use nonlead ammunition while deer hunting on National Wildlife Refuges (NWRs). We conducted a survey to assess this program using seven factors that might influence USFWS staff support for the nonlead outreach program: innovativeness, lead exposure to bald eagles, availability of training and outreach materials, satisfaction with program implementation, importance of informational materials, and if they were a deer hunter. Multiple linear regression showed attitudes toward eagles’ lead risk and importance of informational materials had the strongest effect on program support, followed by an individual’s innovativeness. Although previous studies have focused on influencing hunters’ nonlead use, our findings show staff attitudes and perceptions about nonlead strongly affect program support and ultimately program outcomes.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1533015X.2021.1943062","usgsCitation":"Schulz, J.H., Wilhelm Stanis, S., Li, C.J., Morgan, M., and Webb, E.B., 2022, Factors affecting staff support of a voluntary nonlead ammunition outreach program: Applied Environmental Education and Communication, v. 21, no. 1, p. 55-72, https://doi.org/10.1080/1533015X.2021.1943062.","productDescription":"18 p.","startPage":"55","endPage":"72","ipdsId":"IP-123420","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Schulz, J. H.","contributorId":272503,"corporation":false,"usgs":false,"family":"Schulz","given":"J.","email":"","middleInitial":"H.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilhelm Stanis, S. A.","contributorId":272504,"corporation":false,"usgs":false,"family":"Wilhelm Stanis","given":"S. A.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Christine Jie","contributorId":272563,"corporation":false,"usgs":false,"family":"Li","given":"Christine","email":"","middleInitial":"Jie","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, Mark","contributorId":282974,"corporation":false,"usgs":false,"family":"Morgan","given":"Mark","email":"","affiliations":[],"preferred":false,"id":836040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836041,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222374,"text":"70222374 - 2022 - Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing","interactions":[],"lastModifiedDate":"2022-02-15T15:33:21.112862","indexId":"70222374","displayToPublicDate":"2021-06-22T07:35:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":904,"text":"Arid Land Research and Management","active":true,"publicationSubtype":{"id":10}},"title":"Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing","docAbstract":"

Dryland (arid and semi-arid) ecosystems globally provide more than half of livestock production and store roughly one-third of soil organic carbon (SOC). Biogeochemical pools are changing due to shrub encroachment, livestock grazing, and climate change. We assessed how vegetation microsite, grazing, and precipitation interacted to affect SOC and total nitrogen (TN) at a site with long-term grazing manipulations and well-described patterns of shrub encroachment across elevation and mean annual precipitation (MAP) gradients. We analyzed SOC and TN in the context of vegetation cover at ungrazed locations within livestock exclosures, high-intensity grazing locations near water sources, and moderate-intensity grazing locations away from water. SOC was enhanced by MAP (p < 0.0001), but grazing intensity had little effect regardless of MAP (p = 0.12). Shrubs enhanced SOC (300–1279 g C m−2) and TN (27–122 g N m−2), except at high MAP where the contribution or stabilization of shrub inputs relative to grassland inputs was likely diminished. Cover of perennial herbaceous plants and litter were significant predictors of SOC (r2 = 0.63 and 0.34, respectively) and TN (r2 = 0.64 and 0.30, respectively). Our results suggest that continued shrub encroachment in drylands can increase SOC storage when grass production remains high, although this response may saturate with higher MAP. In contrast, grazing – at least at the intensities of our sites – has a lesser effect. These effects underscore the need to understand how future climate and grazing may interact to influence dryland biogeochemical cycling.

","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15324982.2021.1952660","usgsCitation":"Throop, H.L., Munson, S.M., Hornslein, N., and McClaran, M., 2022, Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing: Arid Land Research and Management, v. 36, no. 1, p. 27-46, https://doi.org/10.1080/15324982.2021.1952660.","productDescription":"20 p.","startPage":"27","endPage":"46","ipdsId":"IP-126222","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":502623,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":387410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Throop, Heather L. 0000-0002-7963-4342","orcid":"https://orcid.org/0000-0002-7963-4342","contributorId":139051,"corporation":false,"usgs":false,"family":"Throop","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12633,"text":"Biology Department, New Mexico State University, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":819848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":819849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hornslein, Nicole","contributorId":261340,"corporation":false,"usgs":false,"family":"Hornslein","given":"Nicole","email":"","affiliations":[{"id":52828,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287, USA","active":true,"usgs":false}],"preferred":false,"id":819850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClaran, Mitchel P","contributorId":261341,"corporation":false,"usgs":false,"family":"McClaran","given":"Mitchel P","affiliations":[{"id":52829,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721-0043, USA","active":true,"usgs":false}],"preferred":false,"id":819851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222554,"text":"70222554 - 2022 - ShakeMap operations, policies, and procedures","interactions":[],"lastModifiedDate":"2022-02-15T15:34:51.442975","indexId":"70222554","displayToPublicDate":"2021-06-22T06:33:28","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":"ShakeMap operations, policies, and procedures","docAbstract":"

The US Geological Survey’s ShakeMap is used domestically and globally for post-earthquake emergency management and response, engineering analyses, financial instruments, and other decision-making activities. Recent developments in the insurance, reinsurance, and catastrophe bond sectors link payouts of potentially hundreds of millions of dollars to ShakeMap products. Similarly, building codes, post-earthquake building damage forensic evaluations, and geotechnical evaluations often rely on estimated peak response-spectral values for site-specific evaluations that may lead to costly analyses, retrofits, or other expenditures. Given such activities, financial, engineering, and other technical users demand processing specifications and a metadata trail for actuarial, escrow, and forensic purposes for each significant earthquake. Recent inquiries include how and why maps change with time, how to interpret metadata, and how to obtain the creation and update history of various map layers. Similarly, the collection of ShakeMap scenarios and historical ShakeMaps—either created in earlier versions or rerun as part of the latest version of the ShakeMap Atlas—warrant a full explanation of the inputs, processing, and archiving given their contribution to fragility curve development and loss model calibration. For these reasons, in addition to event-specific ShakeMap metadata and a comprehensive online ShakeMap Manual, we have crafted this practice paper to answer several of the most frequently asked technical questions. We also describe an application programming interface (API) for accessing site-specific shaking metrics and their uncertainties for earthquake forensic purposes in a consistent fashion. In all, we describe the advantages of employing ShakeMaps for these critical purposes as well as describe their limitations and uncertainties, offering an extensive set of instructions and disclaimers that can be referenced by ShakeMap users.

","language":"English","publisher":"Sage Journals","doi":"10.1177/87552930211030298","usgsCitation":"Wald, D.J., Worden, C., Thompson, E.M., and Hearne, M., 2022, ShakeMap operations, policies, and procedures: Earthquake Spectra, v. 38, no. 1, p. 756-777, https://doi.org/10.1177/87552930211030298.","productDescription":"22 p.","startPage":"756","endPage":"777","ipdsId":"IP-129253","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":436064,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94RJYCS","text":"USGS data release","linkHelpText":"ShakeMap Sampling Tool"},{"id":387671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Napa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4041748046875,\n 38.21444607848999\n ],\n [\n -122.16247558593751,\n 38.21444607848999\n ],\n [\n -122.16247558593751,\n 38.37611542403604\n ],\n [\n -122.4041748046875,\n 38.37611542403604\n ],\n [\n -122.4041748046875,\n 38.21444607848999\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820543,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254936,"text":"70254936 - 2022 - Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity","interactions":[],"lastModifiedDate":"2024-06-11T15:07:14.9712","indexId":"70254936","displayToPublicDate":"2021-06-18T10:00:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity","docAbstract":"

Climate change is impacting both the distribution and abundance of vegetation, especially in far northern latitudes. The effects of climate change are different for every plant assemblage and vary heterogeneously in both space and time. Small changes in climate could result in large vegetation responses in sensitive assemblages but weak responses in robust assemblages. But, patterns and mechanisms of sensitivity and robustness are not yet well understood, largely due to a lack of long-term measurements of climate and vegetation. Fortunately, observations are sometimes available across a broad spatial extent. We develop a novel statistical model for a multivariate response based on unknown cluster-specific effects and covariances, where cluster labels correspond to sensitivity and robustness. Our approach utilizes a prototype model for cluster membership that offers flexibility while enforcing smoothness in cluster probabilities across sites with similar characteristics. We demonstrate our approach with an application to vegetation abundance in Alaska, USA, in which we leverage the broad spatial extent of the study area as a proxy for unrecorded historical observations. In the context of the application, our approach yields interpretable site-level cluster labels associated with assemblage-level sensitivity and robustness without requiring strong a priori assumptions about the drivers of climate sensitivity.

","language":"English","publisher":"Oxford Academic","doi":"10.1111/biom.13507","usgsCitation":"Scharf, H.R., Raiho, A.M., Pugh, S., Roland, C.A., Swanson, D., Stehn, S.E., and Hooten, M., 2022, Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity: Biometrics, v. 78, no. 4, p. 1427-1440, https://doi.org/10.1111/biom.13507.","productDescription":"14 p.","startPage":"1427","endPage":"1440","ipdsId":"IP-119567","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.99881777589104,\n 64.00887382817564\n ],\n [\n -150.90884155174135,\n 64.041197362661\n ],\n [\n -151.7868734550507,\n 64.08774410941011\n ],\n [\n -152.9460496500005,\n 63.782134495939545\n ],\n [\n -152.88639840190885,\n 62.28110828523958\n ],\n [\n -151.75861699267762,\n 62.28489348947565\n ],\n [\n -151.1597743848834,\n 62.454907128588\n ],\n [\n -150.91883926563864,\n 62.618022201463916\n ],\n [\n -150.27292809489717,\n 62.65550366893268\n ],\n [\n -148.80774431364787,\n 63.44079256086752\n ],\n [\n -148.99881777589104,\n 64.00887382817564\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"78","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Scharf, Henry R.","contributorId":206652,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","email":"","middleInitial":"R.","affiliations":[{"id":37371,"text":"Colorado State University, Department of Statistics","active":true,"usgs":false}],"preferred":false,"id":902931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raiho, Ann M.","contributorId":171526,"corporation":false,"usgs":false,"family":"Raiho","given":"Ann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pugh, Sierra","contributorId":338067,"corporation":false,"usgs":false,"family":"Pugh","given":"Sierra","email":"","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":902933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roland, Carl A.","contributorId":338070,"corporation":false,"usgs":false,"family":"Roland","given":"Carl","email":"","middleInitial":"A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, David K.","contributorId":338073,"corporation":false,"usgs":false,"family":"Swanson","given":"David K.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stehn, Sarah E.","contributorId":338076,"corporation":false,"usgs":false,"family":"Stehn","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":902930,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221167,"text":"70221167 - 2022 - Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada","interactions":[],"lastModifiedDate":"2022-03-15T15:55:06.481082","indexId":"70221167","displayToPublicDate":"2021-06-03T07:44:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada","docAbstract":"

Rip currents can move unsuspecting swimmers offshore rapidly and represent a significant risk to beach users worldwide, including along the northern coast of Prince Edward Island (PEI), Canada. Although many rip currents are ephemeral and/or spatially variable in response to changes in the nearshore bar morphology and wave and tidal forcing, it is possible for rip channels to be geologically controlled and quasi-permanent in morphology, location, and flow. Several rip channels along the northern coast of PEI appear in the same location from year to year and correspond to elongated lakes, rivers, or swales behind the modern coastal dune system. Given their persistent location and alignment with back dune hydrology, ground-penetrating radar surveys were collected along Brackley and Cavendish Beaches in July 2019 to determine whether persistent rip channels are associated with now-buried river channels extending beneath the modern dunes and continuing offshore. Strong reflectors similar to V-shaped river valleys are present in alongshore transects at both beaches. These infilled valleys align with back-dune hydrology and persistent rip channels, suggesting modern rip channels are structurally controlled and maintained by antecedent geology. This link provides important guidance to beach access management and the distribution of lifesaving strategies along the affected beaches.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02723646.2021.1923389","usgsCitation":"Wernette, P., and Houser, C., 2022, Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada: Physical Geography, v. 43, no. 2, p. 145-162, https://doi.org/10.1080/02723646.2021.1923389.","productDescription":"18 p.","startPage":"145","endPage":"162","ipdsId":"IP-118879","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":386200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Prince Edward Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -64.434814453125,\n 45.909122123907295\n ],\n [\n -61.85852050781249,\n 45.909122123907295\n ],\n [\n -61.85852050781249,\n 47.16730970131578\n ],\n [\n -64.434814453125,\n 47.16730970131578\n ],\n [\n -64.434814453125,\n 45.909122123907295\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wernette, Phillipe Alan 0000-0002-8902-5575","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":259274,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe Alan","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Chris 0000-0002-7880-7619","orcid":"https://orcid.org/0000-0002-7880-7619","contributorId":259276,"corporation":false,"usgs":false,"family":"Houser","given":"Chris","email":"","affiliations":[{"id":52343,"text":"University of Windsor, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":816926,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226839,"text":"70226839 - 2022 - Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","interactions":[],"lastModifiedDate":"2022-01-25T17:32:36.593574","indexId":"70226839","displayToPublicDate":"2021-06-03T06:50:15","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}},"displayTitle":"Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","title":"Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","docAbstract":"
Stable isotopes recorded in fish eye lenses are an emerging tool to track dietary shifts coincident with use of diverse habitats over the lifetime of individuals. Eye lenses are metabolically inert, sequentially deposited, archival tissues that can open avenues to chronicle contaminant exposures, diet histories, trophic dynamics and migratory histories of individual fishes. In this study, we demonstrated that trophic histories reconstructed using eye lenses can resolve key uncertainties regarding diet and trophic habitat shifts. Clear Lake hitch (Lavinia exilicauda chi), a threatened cyprinid, inhabits a single lake (Clear Lake, Lake County, California) and utilizes tributary streams for reproduction. Bayesian mixing models applied to δ13C and δ15N recorded in eye lenses uncovered ontogenetic diet shifts that corresponded with shifts in occupation of habitats providing spawning (tributary streams), rearing (littoral lake), and growth (pelagic lake) functions. The reconstruction of size-structured trophic and habitat information can provide vital information needed to manage and conserve imperiled species such as the Clear Lake hitch.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0318","usgsCitation":"Young, M.J., Violette, V.L., Clause, J.K., Bell-Tilcock, M., Whitman, G., Johnson, R.C., and Feyrer, F.V., 2022, Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi): Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 1, p. 21-30, https://doi.org/10.1139/cjfas-2020-0318.","productDescription":"10 p.","startPage":"21","endPage":"30","ipdsId":"IP-119498","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":449808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2020-0318","text":"Publisher Index Page"},{"id":392943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.00292968749999,\n 38.8824811975508\n ],\n [\n -122.53601074218751,\n 38.8824811975508\n ],\n [\n -122.53601074218751,\n 39.1854331703021\n ],\n [\n -123.00292968749999,\n 39.1854331703021\n ],\n [\n -123.00292968749999,\n 38.8824811975508\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Violette, Veronica L. 0000-0002-7390-4655 vviolette@usgs.gov","orcid":"https://orcid.org/0000-0002-7390-4655","contributorId":222824,"corporation":false,"usgs":true,"family":"Violette","given":"Veronica","email":"vviolette@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clause, Justin Kinsey 0000-0003-0205-0821","orcid":"https://orcid.org/0000-0003-0205-0821","contributorId":270125,"corporation":false,"usgs":true,"family":"Clause","given":"Justin","email":"","middleInitial":"Kinsey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell-Tilcock, Miranda 0000-0002-2714-2100","orcid":"https://orcid.org/0000-0002-2714-2100","contributorId":270127,"corporation":false,"usgs":false,"family":"Bell-Tilcock","given":"Miranda","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":828453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, George","contributorId":215401,"corporation":false,"usgs":false,"family":"Whitman","given":"George","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":828454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Rachel C.","contributorId":196877,"corporation":false,"usgs":false,"family":"Johnson","given":"Rachel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":828455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}