{"pageNumber":"428","pageRowStart":"10675","pageSize":"25","recordCount":184569,"records":[{"id":70224641,"text":"70224641 - 2022 - Biotic and abiotic treatments as a bet-hedging approach to restoring plant communities and soil functions","interactions":[],"lastModifiedDate":"2022-02-15T15:38:04.0123","indexId":"70224641","displayToPublicDate":"2021-08-16T07:47:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Biotic and abiotic treatments as a bet-hedging approach to restoring plant communities and soil functions","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Two related concepts in restoration ecology include the relative interchangeability of biotic and abiotic restoration treatments for initiating recovery and bet hedging using multiple restoration approaches to increase the likelihood of favorable restoration outcomes. We used these concepts as a framework to implement a factorial experiment including biotic (outplanting greenhouse-grown individuals of three perennial species) and abiotic treatments (constructing microtopography or vertical mulch consisting of upright, dead plant material). These treatments were designed to stimulate native plant recruitment and reverse soil degradation at four disturbed sites in the Sonoran Desert, U.S.A. The first growing season after the restoration treatments was the driest of the last 47 years, and 100% of outplants died. While the biotic treatment failed, the vertical mulch abiotic treatment increased native shrub seedling cover at the driest site and reversed soil loss across sites by increasing soil accumulation by 6× to 2&nbsp;cm/year. Results revealed that (1) inexpensive, minimal-input abiotic treatments outperformed resource-intensive biotic treatments; (2) the restoration effort withstood the total failure of a major component (outplanting) to nevertheless achieve key restoration benefits within 2–3 growing seasons; and (3) incorporating multiple treatment types served as a bet-hedging approach to buffer against treatment failures. Integrating minimal-input abiotic treatments in restoration warrants consideration given their low cost and bet-hedging potential.</p></div></div>","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.13527","usgsCitation":"Rader, A.J., Chiquoine, L.P., Weigand, J.F., Perkins, J.L., Munson, S.M., and Abella, S.R., 2022, Biotic and abiotic treatments as a bet-hedging approach to restoring plant communities and soil functions: Restoration Ecology, v. 30, no. 2, e13527, https://doi.org/10.1111/rec.13527.","productDescription":"e13527","ipdsId":"IP-126946","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":449746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.13527","text":"Publisher Index Page"},{"id":390105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Rader, Audrey J","contributorId":266175,"corporation":false,"usgs":false,"family":"Rader","given":"Audrey","email":"","middleInitial":"J","affiliations":[{"id":54937,"text":"University of Nevada Las Vegas, School of Life Sciences, Las Vegas, NV 89154-4004","active":true,"usgs":false}],"preferred":false,"id":824505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiquoine, Lindsay P.","contributorId":167778,"corporation":false,"usgs":false,"family":"Chiquoine","given":"Lindsay","email":"","middleInitial":"P.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":824506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weigand, James F.","contributorId":145871,"corporation":false,"usgs":false,"family":"Weigand","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":16275,"text":"BLM, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":824507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Judy L.","contributorId":266176,"corporation":false,"usgs":false,"family":"Perkins","given":"Judy","email":"","middleInitial":"L.","affiliations":[{"id":54938,"text":"U.S. Bureau of Land Management, California State Office, 2800 Cottage Way, Sacramento, CA 95825","active":true,"usgs":false}],"preferred":false,"id":824508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824509,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abella, Scott R","contributorId":266177,"corporation":false,"usgs":false,"family":"Abella","given":"Scott","email":"","middleInitial":"R","affiliations":[{"id":54937,"text":"University of Nevada Las Vegas, School of Life Sciences, Las Vegas, NV 89154-4004","active":true,"usgs":false}],"preferred":false,"id":824510,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230385,"text":"70230385 - 2022 - The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction","interactions":[],"lastModifiedDate":"2022-04-11T14:20:51.924412","indexId":"70230385","displayToPublicDate":"2021-08-14T06:46:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p><span>Since late 2018, the US Geological Survey (USGS) ground failure (GF) earthquake product has provided publicly available spatial estimates of earthquake-triggered landslide and liquefaction hazards, along with the qualitative hazard and population exposure-based alerts for M &gt; 6 earthquakes worldwide and in near real time (within ∼30 min). Earthquake losses are oftentimes greatly aggravated by the impacts due to ground failure, yet those particular events with dramatic additional losses have not, heretofore, been rapidly identifiable. The GF product now provides situational awareness about the potential extent and severity of ground failure in the crucial time period before direct observations are available. We describe our implementation of the GF product and the lessons learned from the earthquakes that have occurred since the GF product was released. We describe the product design process, the underlying GF models, the methods we have developed for modeling uncertainty, and the development of the alert levels. The GF product has been produced in near real time for 320 events over the 2-year period since its public implementation in late 2018 through early 2021. The majority of these events yielded the lowest level (green) alerts for all ground-failure types, with 25 resulting in elevated hazard or exposure to landslides and 47 for liquefaction. In a qualitative comparison between the GF product alerts and GF occurrence information, we found that the product succeeds at assigning appropriate alert levels in the majority of cases. Based on our experience with the product, we have identified the following priorities for future improvements: (1) refinements of the underlying probabilistic models to incorporate severity and explicitly model the type of landslide/liquefaction; (2) development of models for fatalities and economic losses due to ground failure; and (3) estimation of the impacts of ground failure on infrastructure.</span></p></div></div>","language":"English","publisher":"SAGE","doi":"10.1177/87552930211032685","usgsCitation":"Allstadt, K.E., Thompson, E.M., Jibson, R., Wald, D.J., Hearne, M., Hunter, E.J., Fee, J., Schovanec, H., Slosky, D., and Haynie, K.L., 2022, The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction: Earthquake Spectra, v. 38, no. 1, p. 5-36, https://doi.org/10.1177/87552930211032685.","productDescription":"32 p.","startPage":"5","endPage":"36","ipdsId":"IP-127952","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":449748,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/87552930211032685","text":"Publisher Index Page"},{"id":436060,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91G4NS4","text":"USGS data release","linkHelpText":"groundfailure"},{"id":398467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":840146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jibson, Randall W.","contributorId":247850,"corporation":false,"usgs":false,"family":"Jibson","given":"Randall W.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":840147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":840148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":840149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Edward J. 0000-0003-0708-1459","orcid":"https://orcid.org/0000-0003-0708-1459","contributorId":290020,"corporation":false,"usgs":true,"family":"Hunter","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fee, Jeremy 0000-0002-6851-2796 jmfee@usgs.gov","orcid":"https://orcid.org/0000-0002-6851-2796","contributorId":194758,"corporation":false,"usgs":true,"family":"Fee","given":"Jeremy","email":"jmfee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840151,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schovanec, Heather","contributorId":290119,"corporation":false,"usgs":false,"family":"Schovanec","given":"Heather","email":"","affiliations":[],"preferred":false,"id":840308,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Slosky, Daniel 0000-0001-7407-3606 dslosky@usgs.gov","orcid":"https://orcid.org/0000-0001-7407-3606","contributorId":194954,"corporation":false,"usgs":true,"family":"Slosky","given":"Daniel","email":"dslosky@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840152,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840309,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70228362,"text":"70228362 - 2022 - NGA-subduction global ground motion models with regional adjustment factors","interactions":[],"lastModifiedDate":"2022-02-10T12:03:19.524677","indexId":"70228362","displayToPublicDate":"2021-08-13T10:07:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"NGA-subduction global ground motion models with regional adjustment factors","docAbstract":"<p><span>We develop semi-empirical ground motion models (GMMs) for peak ground acceleration, peak ground velocity, and 5%-damped pseudo-spectral accelerations for periods from 0.01 to 10 s, for the median orientation-independent horizontal component of subduction earthquake ground motion. The GMMs are applicable to interface and intraslab subduction earthquakes in Japan, Taiwan, Mexico, Central America, South America, Alaska, the Aleutian Islands, and Cascadia. The GMMs are developed using a combination of data inspection, data regression with respect to physics-informed functions, ground-motion simulations, and geometrical constraints for certain model components. The GMMs capture observed differences in source and path effects for interface and intraslab events, conditioned on moment magnitude, rupture distance, and hypocentral depth. Site effect and aleatory variability models are shared between event types. Regionalized GMM components include the model constant (that controls ground motion amplitude), anelastic attenuation, magnitude-scaling break point, linear site response, and sediment depth terms. We develop models for the aleatory between-event variability&nbsp;</span><span class=\"equationTd\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; id=&quot;math1-87552930211034889&quot; overflow=&quot;scroll&quot; altimg=&quot;eq-00001.gif&quot;><mrow><mo stretchy=&quot;false&quot;>(</mo><mi>&amp;#x3C4;</mi><mo stretchy=&quot;false&quot;>)</mo></mrow></math>\"><span id=\"math1-87552930211034889\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mo\">(</span><i><span id=\"MathJax-Span-5\" class=\"mi\">τ</span></i><span id=\"MathJax-Span-6\" class=\"mo\">)</span></span></span></span></span></span></span><span>, within-event variability&nbsp;</span><span class=\"equationTd\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; id=&quot;math2-87552930211034889&quot; overflow=&quot;scroll&quot; altimg=&quot;eq-00002.gif&quot;><mrow><mo stretchy=&quot;false&quot;>(</mo><mi>&amp;#x3D5;</mi><mo stretchy=&quot;false&quot;>)</mo></mrow></math>\"><span id=\"math2-87552930211034889\" class=\"math\"><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mrow\"><span id=\"MathJax-Span-10\" class=\"mo\">(</span><i><span id=\"MathJax-Span-11\" class=\"mi\">ϕ</span></i><span id=\"MathJax-Span-12\" class=\"mo\">)</span></span></span></span></span></span></span><span>, single-station within-event variability&nbsp;</span><span class=\"equationTd\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; id=&quot;math3-87552930211034889&quot; overflow=&quot;scroll&quot; altimg=&quot;eq-00003.gif&quot;><mrow><mo stretchy=&quot;false&quot;>(</mo><msub><mrow><mi>&amp;#x3D5;</mi></mrow><mrow><mi>SS</mi></mrow></msub><mo stretchy=&quot;false&quot;>)</mo></mrow></math>\"><span id=\"math3-87552930211034889\" class=\"math\"><span><span id=\"MathJax-Span-14\" class=\"mrow\"><span id=\"MathJax-Span-15\" class=\"mrow\"><span id=\"MathJax-Span-16\" class=\"mo\">(</span><i><span id=\"MathJax-Span-17\" class=\"msub\"><span id=\"MathJax-Span-18\" class=\"mrow\"><span id=\"MathJax-Span-19\" class=\"mi\">ϕ</span></span><sub><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"mi\">SS</span></span></sub></span></i><span id=\"MathJax-Span-22\" class=\"mo\">)</span></span></span></span></span></span></span><span>, and site-to-site variability&nbsp;</span><span class=\"equationTd\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; id=&quot;math4-87552930211034889&quot; overflow=&quot;scroll&quot; altimg=&quot;eq-00004.gif&quot;><mrow><mo stretchy=&quot;false&quot;>(</mo><msub><mrow><mi>&amp;#x3D5;</mi></mrow><mrow><mi>S</mi><mn>2</mn><mi>S</mi></mrow></msub><mo stretchy=&quot;false&quot;>)</mo></mrow></math>\"><span id=\"math4-87552930211034889\" class=\"math\"><span><span id=\"MathJax-Span-24\" class=\"mrow\"><span id=\"MathJax-Span-25\" class=\"mrow\"><span id=\"MathJax-Span-26\" class=\"mo\">(</span><i><span id=\"MathJax-Span-27\" class=\"msub\"><span id=\"MathJax-Span-28\" class=\"mrow\"><span id=\"MathJax-Span-29\" class=\"mi\">ϕ</span></span><sub><span id=\"MathJax-Span-30\" class=\"mrow\"><span id=\"MathJax-Span-31\" class=\"mi\">S</span><span id=\"MathJax-Span-32\" class=\"mn\">2</span><span id=\"MathJax-Span-33\" class=\"mi\">S</span></span></sub></span></i><span id=\"MathJax-Span-34\" class=\"mo\">)</span></span></span></span></span></span></span><span>. Ergodic analyses should use the median GMM and aleatory variability computed using the between-event and within-event variability models. An analysis incorporating non-ergodic site response should use the median GMM at the reference shear-wave velocity condition, a site-specific site response model, and aleatory variability computed using the between-event and single-station within-event variability models. Epistemic uncertainty in the median model is represented by standard deviations on the regional model constants, which facilitates scaled-backbone representations of model uncertainty in hazard analyses.</span></p>","language":"English","publisher":"SAGE Publishing","doi":"10.1177/87552930211034889","usgsCitation":"Parker, G.A., Stewart, J.P., Boore, D., Atkinson, G.M., and Hassani, B., 2022, NGA-subduction global ground motion models with regional adjustment factors: Earthquake Spectra, v. 38, no. 1, p. 456-493, https://doi.org/10.1177/87552930211034889.","productDescription":"38 p.","startPage":"456","endPage":"493","ipdsId":"IP-122810","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":395672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":833952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Jonathan P.","contributorId":100110,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":833953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":833954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Gail M.","contributorId":60515,"corporation":false,"usgs":false,"family":"Atkinson","given":"Gail","email":"","middleInitial":"M.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":833955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hassani, Behzad","contributorId":275298,"corporation":false,"usgs":false,"family":"Hassani","given":"Behzad","email":"","affiliations":[{"id":37568,"text":"BC Hydro","active":true,"usgs":false}],"preferred":false,"id":833956,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70223304,"text":"70223304 - 2022 - From drought to deluge: Spatiotemporal variation in migration routing, survival, travel time and floodplain use of an endangered migratory fish","interactions":[],"lastModifiedDate":"2022-03-15T15:58:31.592817","indexId":"70223304","displayToPublicDate":"2021-08-11T08:01:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"From drought to deluge: Spatiotemporal variation in migration routing, survival, travel time and floodplain use of an endangered migratory fish","docAbstract":"<div id=\"abstracts\"><div class=\"core-container\"><div>We developed a novel statistical model to relate the daily survival and migration dynamics of an endangered anadromous fish to river flow and water temperature during both extreme drought and severe flooding in an intensively managed river system. Our Bayesian temporally stratified multistate mark recapture model integrates over unobserved travel times and route transitions to efficiently estimate covariate relationships and includes an adjustment for telemetry tag battery failure. We applied the model to acoustic-tagged juvenile Sacramento river winter-run Chinook salmon (Oncorhynchus tshawytscha) and found that survival decreased with decreasing river flows and increased water temperatures. We found that fish were likely to enter at a large floodplain during flood conditions and that survival in floodplain was comparable to the mainstem Sacramento river. Our study demonstrates the response of an endangered anadromous fish population to extreme spatial and temporal variability in habitat accessibility and quality. The general model framework we introduce here can be applied to telemetry of migratory fish through systems with multiple routes to efficiently estimate spatiotemporal variation in survival, travel time, and routing.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0042","usgsCitation":"Hance, D., Perry, R., Pope, A., Ammann, A.J., Hassrick, J.L., and Hansen, G.S., 2022, From drought to deluge: Spatiotemporal variation in migration routing, survival, travel time and floodplain use of an endangered migratory fish: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 3, p. 410-428, https://doi.org/10.1139/cjfas-2021-0042.","productDescription":"19 p.","startPage":"410","endPage":"428","ipdsId":"IP-127321","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":449755,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/50483","text":"External Repository"},{"id":388223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.73925781250001,\n              37.78808138412046\n            ],\n            [\n              -121.343994140625,\n              37.78808138412046\n            ],\n            [\n              -121.343994140625,\n              39.2\n            ],\n            [\n              -122.73925781250001,\n              39.2\n            ],\n            [\n              -122.73925781250001,\n              37.78808138412046\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"79","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hance, Dalton 0000-0002-4475-706X","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":220179,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":821665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":217814,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":821666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":821667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ammann, Arnold J.","contributorId":207095,"corporation":false,"usgs":false,"family":"Ammann","given":"Arnold","email":"","middleInitial":"J.","affiliations":[{"id":37452,"text":"National Marine Fisheries Service, Southwest Fisheries Science Center, 110 Shaffer Rd., Santa Cruz, CA 95060","active":true,"usgs":false}],"preferred":false,"id":821668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hassrick, Jason L.","contributorId":264556,"corporation":false,"usgs":false,"family":"Hassrick","given":"Jason","email":"","middleInitial":"L.","affiliations":[{"id":54497,"text":"ICF, 201 Mission Street, Suite 1500, San Francisco, CA 94105 USA","active":true,"usgs":false}],"preferred":false,"id":821669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Gabriel S. 0000-0001-6272-3632 ghansen@usgs.gov","orcid":"https://orcid.org/0000-0001-6272-3632","contributorId":3422,"corporation":false,"usgs":true,"family":"Hansen","given":"Gabriel","email":"ghansen@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":821670,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70224247,"text":"70224247 - 2022 - Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing","interactions":[],"lastModifiedDate":"2022-04-11T16:33:42.047444","indexId":"70224247","displayToPublicDate":"2021-08-06T07:25:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Lakes process both terrestrial and aquatic organic matter, and the relative contribution from each source is often measured via ecosystem metabolism and terrestrial resource use in the food web (i.e., consumer allochthony). Yet, ecosystem metabolism and consumer allochthony are rarely considered together, despite possible interactions and potential for them to respond to the same lake characteristics. In this study, we compiled global datasets of lake gross primary production (GPP), ecosystem respiration (ER), and zooplankton allochthony to compare the strength and shape of relationships with physicochemical characteristics across a broad set of lakes. GPP was positively related to total phosphorus (TP) in lakes with intermediate TP concentrations (11–75 <i>μ</i>g L<sup>−1</sup>) and was highest in lakes with intermediate dissolved organic carbon (DOC) concentrations. While ER and GPP were strongly positively correlated, decoupling occurred at high DOC concentrations. Lastly, allochthony had a unimodal relationship with TP and related variably to DOC. By integrating metabolism and allochthony, we identified similar change points in GPP and zooplankton allochthony at intermediate DOC (4.5–10&nbsp;mg L<sup>−1</sup>) and TP (8–20 <i>μ</i>g L<sup>−1</sup>) concentrations, indicating that allochthony and GPP may be coupled and inversely related. The ratio of DOC:nutrients also helped to identify conditions where lake organic matter processing responded more to autochthonous or allochthonous organic matter sources. As lakes globally face eutrophication and browning, predicting how lake organic matter processing will respond requires an updated paradigm that incorporates nonlinear dynamics and interactions.</p></div></div>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11907","usgsCitation":"Holgerson, M.A., Hovel, R.A., Kelly, P.T., Bortolotti, L.E., Brentrup, J.A., Bellamy, A.R., Oliver, S.K., and Reisenger, A.J., 2022, Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing: Limnology and Oceanography, v. 67, no. S1, p. S71-S85, https://doi.org/10.1002/lno.11907.","productDescription":"15 p.","startPage":"S71","endPage":"S85","ipdsId":"IP-122058","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":449757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.11907","text":"Publisher Index Page"},{"id":389254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"S1","noUsgsAuthors":false,"publicationDate":"2021-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Holgerson, Meredith A.","contributorId":257243,"corporation":false,"usgs":false,"family":"Holgerson","given":"Meredith","email":"","middleInitial":"A.","affiliations":[{"id":51986,"text":"Departments of Biology and Environmental Studies, St. Olaf College, Northfield, Minnesota, USA","active":true,"usgs":false}],"preferred":false,"id":823337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hovel, Rachel A.","contributorId":171740,"corporation":false,"usgs":false,"family":"Hovel","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":823338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Patrick T.","contributorId":193577,"corporation":false,"usgs":false,"family":"Kelly","given":"Patrick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":823339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bortolotti, Lauren E","contributorId":265772,"corporation":false,"usgs":false,"family":"Bortolotti","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":823340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brentrup, Jennifer A.","contributorId":194457,"corporation":false,"usgs":false,"family":"Brentrup","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":823341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bellamy, Amber R","contributorId":265773,"corporation":false,"usgs":false,"family":"Bellamy","given":"Amber","email":"","middleInitial":"R","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":823342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reisenger, Alexander J","contributorId":265774,"corporation":false,"usgs":false,"family":"Reisenger","given":"Alexander","email":"","middleInitial":"J","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":823344,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70229145,"text":"70229145 - 2022 - Distributions of native and invasive Typha (cattail) throughout the Prairie Pothole Region of North America","interactions":[],"lastModifiedDate":"2022-03-01T13:10:49.608302","indexId":"70229145","displayToPublicDate":"2021-08-06T07:06:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Distributions of native and invasive Typha (cattail) throughout the Prairie Pothole Region of North America","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The Prairie Pothole Region (PPR) of North America has experienced extreme changes in wetland habitat due to proliferation of invasive plants.<span>&nbsp;</span><i>Typha</i><span>&nbsp;</span>×<span>&nbsp;</span><i>glauca</i><span>&nbsp;</span>is a highly competitive hybrid between native<span>&nbsp;</span><i>T</i>.<span>&nbsp;</span><i>latifolia</i><span>&nbsp;</span>and non-native<span>&nbsp;</span><i>T</i>.<span>&nbsp;</span><i>angustifolia</i>, and it is likely the predominant taxon in PPR wetlands. Genetics-based studies are limited, and distributions are poorly known for the first-generation (F<sub>1</sub>) hybrid and advanced-generation hybrids from F<sub>1</sub><span>&nbsp;</span>mating. Information pertaining to the distribution of<span>&nbsp;</span><i>T</i>. ×<span>&nbsp;</span><i>glauca</i><span>&nbsp;</span>could benefit efforts to understand the mechanisms of its spread and to develop management strategies to limit hybrid expansion and preserve progenitors. We used microsatellite markers of field-collected tissue samples from 131 wetlands spread over approximately 350,000 km<sup>2</sup><span>&nbsp;</span>in the PPR to assess the distribution of hybrid<span>&nbsp;</span><i>T. × glauca</i><span>&nbsp;</span>relative to its parental species and to examine the prevalence of F<sub>1</sub><span>&nbsp;</span>hybrids and advanced-generation hybrids.<span>&nbsp;</span><i>Typha × glauca</i><span>&nbsp;</span>was found in over 80% of wetlands throughout the PPR, compared to 26 and 18% of wetlands with<span>&nbsp;</span><i>T</i>.<span>&nbsp;</span><i>latifolia</i><span>&nbsp;</span>and<span>&nbsp;</span><i>T</i>.<span>&nbsp;</span><i>angustifolia</i>, respectively. Advanced-generation hybrids were more common than F<sub>1</sub><span>&nbsp;</span>hybrids, suggesting that hybridization is not a recent phenomenon. Hybrids were significantly taller than<span>&nbsp;</span><i>T</i>.<span>&nbsp;</span><i>latifolia</i>, indicating heterosis. Only 7% of sampled individual genets were pure<span>&nbsp;</span><i>T. latifolia</i>. These results suggest that<span>&nbsp;</span><i>T. × glauca</i><span>&nbsp;</span>is pervasive throughout the PPR and may spread independently of both parents. In addition, limited prevalence of native<span>&nbsp;</span><i>T. latifolia</i><span>&nbsp;</span>indicates the need for active management to preserve the species.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s11273-021-09823-7","usgsCitation":"Tangen, B., Bansal, S., Freeland, J.R., Travis, S., Wasko, J.D., McGonigle, T.P., Goldsborough, L.G., Gow, K., Marburger, J.E., and Meier, J., 2022, Distributions of native and invasive Typha (cattail) throughout the Prairie Pothole Region of North America: Wetlands Ecology and Management, v. 30, p. 1-17, https://doi.org/10.1007/s11273-021-09823-7.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-129685","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":436061,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M8UB62","text":"USGS data release","linkHelpText":"Genetic and morphologic characteristics of Typha (cattail) taxa of the Prairie Pothole Region of the United States (2018)"},{"id":396593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.0751953125,\n              47.989921667414194\n            ],\n            [\n              -97.294921875,\n              48.80686346108517\n            ],\n            [\n              -98.4814453125,\n              50.233151832472245\n            ],\n            [\n              -100.0634765625,\n              51.6180165487737\n            ],\n            [\n              -103.447265625,\n              52.429222277955134\n            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btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeland, Joanna R.","contributorId":287459,"corporation":false,"usgs":false,"family":"Freeland","given":"Joanna","email":"","middleInitial":"R.","affiliations":[{"id":36679,"text":"Trent University","active":true,"usgs":false}],"preferred":false,"id":836771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Travis, Steven E.","contributorId":287460,"corporation":false,"usgs":false,"family":"Travis","given":"Steven E.","affiliations":[{"id":38381,"text":"University of New England","active":true,"usgs":false}],"preferred":false,"id":836772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wasko, Jen D.","contributorId":287461,"corporation":false,"usgs":false,"family":"Wasko","given":"Jen","email":"","middleInitial":"D.","affiliations":[{"id":61587,"text":"Brandon University and Assiniboine Community College","active":true,"usgs":false}],"preferred":false,"id":836773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGonigle, Terence P.","contributorId":287462,"corporation":false,"usgs":false,"family":"McGonigle","given":"Terence","email":"","middleInitial":"P.","affiliations":[{"id":39230,"text":"Brandon University","active":true,"usgs":false}],"preferred":false,"id":836774,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldsborough, L. Gordon","contributorId":287463,"corporation":false,"usgs":false,"family":"Goldsborough","given":"L.","email":"","middleInitial":"Gordon","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":836775,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gow, Keira","contributorId":287464,"corporation":false,"usgs":false,"family":"Gow","given":"Keira","email":"","affiliations":[{"id":36679,"text":"Trent University","active":true,"usgs":false}],"preferred":false,"id":836776,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marburger, Joy E.","contributorId":287468,"corporation":false,"usgs":false,"family":"Marburger","given":"Joy","email":"","middleInitial":"E.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":836777,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meier, Jacob 0000-0002-8822-8434","orcid":"https://orcid.org/0000-0002-8822-8434","contributorId":204473,"corporation":false,"usgs":true,"family":"Meier","given":"Jacob","email":"","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836778,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70223182,"text":"70223182 - 2022 - Evaluation of ELISA for the analysis of imidacloprid in biological matrices: Cross-reactivities, matrix interferences, and comparison to LC-MS/MS","interactions":[],"lastModifiedDate":"2021-08-17T12:57:57.314974","indexId":"70223182","displayToPublicDate":"2021-08-05T07:57:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of ELISA for the analysis of imidacloprid in biological matrices: Cross-reactivities, matrix interferences, and comparison to LC-MS/MS","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Imidacloprid&nbsp;is among the most used pesticides worldwide and there are toxicity concerns for&nbsp;nontarget organisms. Accurate and sensitive methods are necessary to quantitate imidacloprid concentrations in biological matrices to better understand their fate and effects. Here we evaluated an enzyme-linked immunosorbent assay (ELISA) kit for the analysis of imidacloprid in biological samples. Following the dosing of Japanese quail (</span><i>Coturnix japonica</i>) with imidacloprid-treated wheat seeds, plasma, liver, and fecal matter samples were analyzed by ELISA and compared to previous analyses that employed liquid chromatography-tandem mass spectrometry (LC-MS/MS). Imidacloprid metabolites—5-OH-imidacloprid, imidacloprid-olefin, imidacloprid-urea, desnitro-imidacloprid, and 6-chloronicotinic acid—were tested for their cross-reactivity to antibodies within the commercial imidacloprid ELISA kit. The two major metabolites, 5-OH-imidacloprid and imidacloprid-olefin, showed cross-reactivities of 0.93–26&nbsp;%. ELISA and LC-MS/MS results were positively correlated but there was poor agreement in concentrations: plasma and fecal matter imidacloprid concentrations were higher by ELISA, whereas liver imidacloprid concentrations were higher by LC-MS/MS. Matrix interferences observed in analyses were minimized by the application of matrix-matched calibration curves. ELISA provided an effective screening tool for imidacloprid in these biological matrices, but the presence of cross-reactants confounded results. Confirmation of ELISA results by more selective techniques (e.g., LC-MS/MS) is suggested for complex samples.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2021.131746","usgsCitation":"Gross, M.S., Woodward, E., and Hladik, M.L., 2022, Evaluation of ELISA for the analysis of imidacloprid in biological matrices: Cross-reactivities, matrix interferences, and comparison to LC-MS/MS: Chemosphere, v. 286, no. 3, 131746, 7 p., https://doi.org/10.1016/j.chemosphere.2021.131746.","productDescription":"131746, 7 p.","ipdsId":"IP-128364","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":387986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gross, Michael S. 0000-0002-2433-166X","orcid":"https://orcid.org/0000-0002-2433-166X","contributorId":213604,"corporation":false,"usgs":true,"family":"Gross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821287,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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 PM<sub>2.5</sub> 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":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>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.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>Indoor PM<sub>2.5</sub><span>&nbsp;</span>concentration was evaluated in 26 homes on the Navajo Nation using real-time PM<sub>2.5</sub><span>&nbsp;</span>monitors. Household risk factors and daily activities were evaluated with three metrics of indoor PM<sub>2.5</sub>: time-weighted average (TWA), 90th percentile of concentration, and daily minutes exceeding 100 μg/m<sup>3</sup>. A questionnaire and recall sheet were used to record baseline household characteristics and daily activities.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>The median TWA, 90th percentile, and daily minutes exceeding 100 μg/m<sup>3</sup><span>&nbsp;</span>were 7.9 μg/m<sup>3</sup>, 14.0 μg/m<sup>3</sup><sub>,</sub><span>&nbsp;</span>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.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>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.</p></div></div>","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":"<p><span>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&nbsp;</span><i>a</i><span>&nbsp;(+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.</span></p>","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":"<p>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.</p><p>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% SiO<sub>2</sub>) and<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar 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.</p>","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":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Modern carbonate tufa towers in the alkaline (~pH 9.5) Big Soda Lake (BSL), Nevada, exhibit rapid precipitation rates (exceeding 3&nbsp;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<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>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 CO<sub>2</sub><span>&nbsp;</span>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.</p></div></div>","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":"<p><span>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 (</span><i>Oncorhynchus tshawytscha</i><span>) 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 (</span><i>O</i><span>.&nbsp;</span><i>gorbuscha</i><span>) and chum (</span><i>O</i><span>.&nbsp;</span><i>keta</i><span>) salmon contributed heavily to Arctic grayling (</span><i>Thymallus arcticus</i><span>) and Dolly Varden char (</span><i>Salvelinus malma</i><span>) diets, coho salmon (</span><i>O</i><span>.&nbsp;</span><i>kisutch</i><span>) prey were rare, and Chinook salmon were not detected. In interior rivers, Arctic grayling, burbot (</span><i>Lota lota</i><span>) and northern pike (</span><i>Esox lucius</i><span>) 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.</span></p>","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":"<p>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.</p>","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":"<p><span>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 (</span><i>Oncorhynchus</i><span>&nbsp;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&nbsp;</span><i>Cyphocaris challengeri</i><span>, 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&nbsp;</span><i>C. challengeri</i><span>. 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.</span></p>","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":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p><span>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&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/a3d9d6cf-c64f-4441-b62f-40caf3f469d4/jawr12951-math-0001.png\" alt=\"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0001\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/a3d9d6cf-c64f-4441-b62f-40caf3f469d4/jawr12951-math-0001.png\"><span>&nbsp;fraction, that is, the ratio of&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/4a4f01f2-11c1-425a-91e5-bd866e82536c/jawr12951-math-0002.png\" alt=\"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0002\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/4a4f01f2-11c1-425a-91e5-bd866e82536c/jawr12951-math-0002.png\"><span>&nbsp;to total N (</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/b3f3cd5d-5897-4631-987e-94311a21e62d/jawr12951-math-0003.png\" alt=\"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0003\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/b3f3cd5d-5897-4631-987e-94311a21e62d/jawr12951-math-0003.png\"><span>/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&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/7acf019a-c0c3-44ea-88c7-1554299a59e4/jawr12951-math-0004.png\" alt=\"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0004\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/7acf019a-c0c3-44ea-88c7-1554299a59e4/jawr12951-math-0004.png\"><span>&nbsp;to changes in TN load occurring at different scales:&nbsp;</span><i>Across</i><span>&nbsp;river stations, where differences in TN loads are largely driven by spatial differences in anthropogenic inputs, and&nbsp;</span><i>within</i><span>&nbsp;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&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/98b998f4-da5a-4ea9-9d5c-805351d51cc8/jawr12951-math-0005.png\" alt=\"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0005\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/98b998f4-da5a-4ea9-9d5c-805351d51cc8/jawr12951-math-0005.png\"><span>&nbsp;fraction, a decrease in the&nbsp;</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/6125f6b3-ed31-4b86-a896-4a020811de27/jawr12951-math-0006.png\" alt=\"urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0006\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/6125f6b3-ed31-4b86-a896-4a020811de27/jawr12951-math-0006.png\"><span>&nbsp;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.</span></p></div></div>","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\": 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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 (<i>Oncorhynchus keta</i>) 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":"<p>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 (<i>Oncorhynchus keta</i>), 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 (&gt;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.</p>","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":"<div class=\"abstract-content\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>To understand the timing of deglaciation of the northernmost marine-terminating glaciers of the Cordilleran Ice Sheet (CIS), we obtained 26<span>&nbsp;</span><span class=\"sup\">10</span>Be 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.</p></div></div>","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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","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":"<p><span>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&nbsp;wt % SiO</span><sub>2</sub><span>), are ultrapotassic (6–9&nbsp;wt % K</span><sub>2</sub><span>O; K</span><sub>2</sub><span>O/Na</span><sub>2</sub><span>O = 2–9), and have highly elevated concentrations of REEs (La 500–1,100× chondritic). Zircon concordia&nbsp;</span><sup>206</sup><span>Pb/</span><sup>238</sup><span>U-</span><sup>207</sup><span>Pb/</span><sup>235</sup><span>U ages determined for shonkinite and syenite units are 1409 ± 8, 1409 ± 12, 1410 ± 8, and 1415 ± 6 Ma (2</span><i>σ</i><span>). Most shonkinite dikes are dominated by inherited Paleoproterozoic xenocrysts, but there are sparse primary zircons with&nbsp;</span><sup>207</sup><span>Pb/</span><sup>206</sup><span>Pb 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&nbsp;</span><sup>207</sup><span>Pb/</span><sup>206</sup><span>Pb ages that cluster in the range of 1785–1600 ± 10–30 Ma. Primary zircons have generally lower Hf (&lt;11,000&nbsp;ppm) and higher Eu/Eu* (&gt;0.6), Th (&gt;300&nbsp;ppm), Th/U (&gt;1), and Ti-in-zircon temperatures (&gt;800°C) than inherited zircons. Oxygen isotope data reveals a large range in&nbsp;</span><i>δ</i><sup>18</sup><span>O values for primary zircons, from mantle (5–5.5‰) to crustal and supracrustal (7–9‰). A couple of low-</span><i>δ</i><sup>18</sup><span>O outliers (2‰) point to a component of shallow crust altered by meteoric water. The&nbsp;</span><i>δ</i><sup>18</sup><span>O 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.,&nbsp;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 (&gt;100&nbsp;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.</span></p>","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":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, 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":"<p><span>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&nbsp;</span><i>Grus americana</i><span>, 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,&nbsp;</span><i>Grus canadensis</i><span>; 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.</span></p>","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":70239345,"text":"70239345 - 2022 - Book review: Why do buildings collapse in earthquakes? Building for safety in seismic areas","interactions":[],"lastModifiedDate":"2023-01-10T13:28:30.924788","indexId":"70239345","displayToPublicDate":"2021-07-21T07:27:22","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":"Book review: Why do buildings collapse in earthquakes? Building for safety in seismic areas","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"SAGE","doi":"10.1177/87552930221109298","usgsCitation":"Wald, D.J., 2022, Book review: Why do buildings collapse in earthquakes? Building for safety in seismic areas: Earthquake Spectra, v. 38, no. 4, p. 3089-3093, https://doi.org/10.1177/87552930221109298.","productDescription":"5 p.","startPage":"3089","endPage":"3093","ipdsId":"IP-140539","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":411624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-07-21","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":861206,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"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":"<p><span>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&nbsp;</span><i>Calidris canutus rufa</i><span>&nbsp;had higher survival probability but ruddy turnstone&nbsp;</span><i>Arenaria interpres</i><span>&nbsp;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&nbsp;</span><i>Calidris alba</i><span>. 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.</span></p>","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":"<p><span>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.</span></p>","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, <i>Ambrosia dumosa</i> and <i>Larrea tridentata</i>","title":"Local climate adaptations in two ubiquitous Mojave Desert shrub species, Ambrosia dumosa and Larrea tridentata","docAbstract":"<ol class=\"\"><li>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.</li><li>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&nbsp;year.<span>&nbsp;</span><i>Ambrosia dumosa</i><span>&nbsp;</span>is a drought-deciduous low shrub and<span>&nbsp;</span><i>Larrea tridentata</i><span>&nbsp;</span>is an exceptionally long-lived evergreen. Over 4&nbsp;years, we monitored growth, survivorship, leaf and reproductive cover and once measured leaf N content, δ<sup>13</sup>C and SLA. We hypothesized that populations of both species would be differentiated along a growth–survivorship trade-off according to homesite aridity.</li><li>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<span>&nbsp;</span><i>A. dumosa</i><span>&nbsp;</span>populations, but lower growth for<span>&nbsp;</span><i>L. tridentata</i>. Among<span>&nbsp;</span><i>L. tridentata</i><span>&nbsp;</span>populations, leaf cover correlated positively with growth and negatively with survival time. For<span>&nbsp;</span><i>A. dumosa</i><span>&nbsp;</span>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.</li><li><i>Synthesis</i>. 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<span>&nbsp;</span><i>L. tridentata</i><span>&nbsp;</span>mitigated the risk of hydraulic failure, while<span>&nbsp;</span><i>A. dumosa</i><span>&nbsp;</span>optimized carbon assimilation for growth.</li></ol>","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":"<p><span>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.</span></p>","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":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry 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":"<p><span>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&nbsp;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&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;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&nbsp;</span><i>within</i><span>&nbsp;but different&nbsp;</span><i>among,</i><span>&nbsp;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&nbsp;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</span><sup>−1</sup><span>. 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.</span></p>","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, 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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 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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":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":16669,"text":"U of CO, Boulder","active":true,"usgs":false}],"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, 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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. 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