{"pageNumber":"206","pageRowStart":"5125","pageSize":"25","recordCount":41062,"records":[{"id":70229452,"text":"70229452 - 2022 - Connecting regional-scale tree distribution models with seed dispersal kernels","interactions":[],"lastModifiedDate":"2022-03-09T15:55:47.176117","indexId":"70229452","displayToPublicDate":"2021-08-22T09:50:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10270,"text":"Applied Mathematics and Computation","active":true,"publicationSubtype":{"id":10}},"title":"Connecting regional-scale tree distribution models with seed dispersal kernels","docAbstract":"<p><span>Regional scale forest distribution models are important tools for biogeography and understanding the structure of forest communities in space. These models take climate and geographic variables as input and are therefore helpful for long-term decision support and climate adaptation planning. Generally, local processes of tree germination and seedling survival are resolved probabilistically with explanatory variables such as elevation, latitude, exposure, soil type, moisture availability, climate and weather inputs and `trained’ using landscape and regional presence-absence data and machine learning techniques. How seeds are distributed in these models, that is, determining the dispersal kernel, is far more problematic. The challenge is that variables conditioning vertebrate seed dispersal (motility and probability of utilization or caching in response to cover type) are not represented in large scale distribution models, and in fact vary on scales (10-100 meters) that are much smaller than the smallest pixel size for the distribution model (1-10 kilometers). We present a homogenized seed digestion kernel (HSDK) which incorporates this scale separation. Homogenization naturally links highly variable small-scale processes (like seed foraging and caching by birds and rodents) with large scale effects (like dispersal of seeds over tens of kilometers). We develop a homogenization strategy to predict seed dispersal on landscape scales, analytically linking small-scale variables (landscape fraction cover by tree type, gut residence times and cover type utilization by frugivorous birds) with large scale behaviors. Closed form approximations are developed in two dimensions for two limiting cases of seed handling behavior, and the approach is illustrated using landscape data and piñon-pine dispersal in a 630,000 square kilometer region in the southwestern US.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.amc.2021.126591","usgsCitation":"Neupane, R.C., Powell, J., and Edwards, T., 2022, Connecting regional-scale tree distribution models with seed dispersal kernels: Applied Mathematics and Computation, v. 412, 126591, 17 p., https://doi.org/10.1016/j.amc.2021.126591.","productDescription":"126591, 17 p.","ipdsId":"IP-124972","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.amc.2021.126591","text":"Publisher Index Page"},{"id":396921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"412","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Neupane, Ram C.","contributorId":288149,"corporation":false,"usgs":false,"family":"Neupane","given":"Ram","email":"","middleInitial":"C.","affiliations":[{"id":61709,"text":"ta&m","active":true,"usgs":false}],"preferred":false,"id":837519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, James A.","contributorId":288150,"corporation":false,"usgs":false,"family":"Powell","given":"James A.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":837520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":837518,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70224338,"text":"70224338 - 2022 - Solutions in microbiome engineering: Prioritizing barriers to organism establishment","interactions":[],"lastModifiedDate":"2022-01-25T16:50:53.459975","indexId":"70224338","displayToPublicDate":"2021-08-21T07:11:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9357,"text":"The ISME Journal: Multidisciplinary Journal of Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Solutions in microbiome engineering: Prioritizing barriers to organism establishment","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Microbiome engineering is increasingly being employed as a solution to challenges in health, agriculture, and climate. Often manipulation involves inoculation of new microbes designed to improve function into a preexisting microbial community. Despite, increased efforts in microbiome engineering inoculants frequently fail to establish and/or confer long-lasting modifications on ecosystem function. We posit that one underlying cause of these shortfalls is the failure to consider barriers to organism establishment. This is a key challenge and focus of macroecology research, specifically invasion biology and restoration ecology. We adopt a framework from invasion biology that summarizes establishment barriers in three categories: (1) propagule pressure, (2) environmental filtering, and (3) biotic interactions factors. We suggest that biotic interactions is the most neglected factor in microbiome engineering research, and we recommend a number of actions to accelerate engineering solutions.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41396-021-01088-5","usgsCitation":"Albright, M., Louca, S., Winkler, D.E., Feeser, K.L., Haig, S., Whiteson, K.L., Emerson, J.B., and Dunbar, J.M., 2022, Solutions in microbiome engineering: Prioritizing barriers to organism establishment: The ISME Journal: Multidisciplinary Journal of Microbial Ecology, v. 16, p. 331-338, https://doi.org/10.1038/s41396-021-01088-5.","productDescription":"8 p.","startPage":"331","endPage":"338","ipdsId":"IP-127565","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":449741,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41396-021-01088-5","text":"Publisher Index Page"},{"id":389634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2021-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Albright, Michaeline B.N.","contributorId":265940,"corporation":false,"usgs":false,"family":"Albright","given":"Michaeline B.N.","affiliations":[{"id":54832,"text":"Bioscience Division, Los Alamos National Laboratory, NM","active":true,"usgs":false}],"preferred":false,"id":823814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Louca, Stilianos","contributorId":195708,"corporation":false,"usgs":false,"family":"Louca","given":"Stilianos","email":"","affiliations":[],"preferred":false,"id":823815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feeser, Kelli L.","contributorId":265941,"corporation":false,"usgs":false,"family":"Feeser","given":"Kelli","email":"","middleInitial":"L.","affiliations":[{"id":54832,"text":"Bioscience Division, Los Alamos National Laboratory, NM","active":true,"usgs":false}],"preferred":false,"id":823817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haig, Sarah-Jane","contributorId":265942,"corporation":false,"usgs":false,"family":"Haig","given":"Sarah-Jane","email":"","affiliations":[{"id":54833,"text":"Department of Civil and Environmental Engineering, University of Pittsburg, PA","active":true,"usgs":false}],"preferred":false,"id":823818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whiteson, Katrine L.","contributorId":265943,"corporation":false,"usgs":false,"family":"Whiteson","given":"Katrine","email":"","middleInitial":"L.","affiliations":[{"id":54834,"text":"Department of Molecular Biology and Biochemistry, University of California, Irvine, CA","active":true,"usgs":false}],"preferred":false,"id":823819,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Emerson, Joanne B.","contributorId":265944,"corporation":false,"usgs":false,"family":"Emerson","given":"Joanne","email":"","middleInitial":"B.","affiliations":[{"id":54835,"text":"Department of Plant Pathology, University of California, Davis, CA","active":true,"usgs":false}],"preferred":false,"id":823820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dunbar, John M.","contributorId":105778,"corporation":false,"usgs":false,"family":"Dunbar","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":823821,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70223849,"text":"70223849 - 2022 - Incorporating antenna detections into abundance estimates of fish","interactions":[],"lastModifiedDate":"2022-03-15T16:01:40.457204","indexId":"70223849","displayToPublicDate":"2021-08-18T06:57:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating antenna detections into abundance estimates of fish","docAbstract":"<div id=\"abstracts\"><div class=\"core-container\"><div>Autonomous passive integrated transponder (PIT) tag antennas are commonly used to detect fish marked with PIT tags but cannot detect unmarked fish, creating challenges for abundance estimation. Here we describe an approach to estimate abundance from paired physical capture and antenna detection data in closed and open mark-recapture models. Additionally, for open models, we develop an approach that incorporates uncertainty in fish size, because fish size changes through time (as fish grow bigger) but is unknown if fish are not physically captured (e.g., only detected on antennas). Incorporation of size uncertainty allows for estimation of size-specific abundances and demonstrates a generally useful method for obtaining state-specific abundances estimates under state uncertainty. Simulation studies comparing models with and without antenna detections illustrate that the benefit of our approach increases as a larger proportion of the population is marked. When applied to two field data sets, our approach to incorporating antenna detections reduced uncertainty in abundance substantially. We conclude that PIT antennas hold great potential for improving abundance estimation, despite the challenges they present.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0003","usgsCitation":"Dzul, M.C., Yackulic, C., Kendall, W.L., Winkelman, D.L., Conner, M.M., and Yard, M.D., 2022, Incorporating antenna detections into abundance estimates of fish: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 3, p. 436-447, https://doi.org/10.1139/cjfas-2021-0003.","productDescription":"12 p.","startPage":"436","endPage":"447","ipdsId":"IP-125707","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":449745,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1807/109444","text":"External Repository"},{"id":436059,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZCNR6X","text":"USGS data release","linkHelpText":"Humpback chub (Gila cypha) capture history data (2009-2020), Grand Canyon, Arizona"},{"id":389049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conner, Mary M","contributorId":222152,"corporation":false,"usgs":false,"family":"Conner","given":"Mary","email":"","middleInitial":"M","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":822930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":169281,"corporation":false,"usgs":true,"family":"Yard","given":"Michael","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822931,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":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":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":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":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":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\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.1904296875,\n              38.41916639395372\n            ],\n            [\n              -75.223388671875,\n              38.64261790634527\n            ],\n            [\n              -75.35522460937499,\n              38.79690830348427\n            ],\n            [\n              -75.498046875,\n              38.87392853923629\n            ],\n            [\n              -75.5419921875,\n              39.0533181067413\n            ],\n            [\n              -75.662841796875,\n              39.30029918615029\n            ],\n            [\n              -75.750732421875,\n              39.70718665682654\n            ],\n            [\n              -75.6298828125,\n              40.052847601823984\n            ],\n            [\n              -75.69580078125,\n              40.07807142745009\n            ],\n            [\n              -75.95947265625,\n              40.052847601823984\n            ],\n            [\n              -76.0693359375,\n              40.069664523297774\n            ],\n            [\n              -76.058349609375,\n              40.18726672309203\n            ],\n            [\n              -75.9375,\n              40.29628651711716\n            ],\n            [\n              -75.91552734375,\n              40.3549167507906\n            ],\n            [\n              -75.89355468749999,\n              40.47202439692057\n            ],\n            [\n              -76.09130859375,\n              40.56389453066509\n            ],\n            [\n              -76.190185546875,\n              40.64730356252251\n            ],\n            [\n              -76.0693359375,\n              40.75557964275589\n            ],\n            [\n              -75.83862304687499,\n              40.871987756697415\n            ],\n            [\n              -75.76171875,\n              40.91351257612758\n            ],\n            [\n              -75.706787109375,\n              40.95501133048621\n            ],\n            [\n              -75.7177734375,\n              41.071069130806414\n            ],\n            [\n              -75.662841796875,\n              41.1455697310095\n            ],\n            [\n              -75.5419921875,\n              41.13729606112276\n            ],\n            [\n              -75.322265625,\n              41.104190944576466\n            ],\n            [\n              -75.377197265625,\n              41.22824901518529\n            ],\n            [\n              -75.377197265625,\n              41.28606238749825\n            ],\n            [\n              -75.377197265625,\n              41.43449030894922\n            ],\n            [\n              -75.399169921875,\n              41.6154423246811\n            ],\n            [\n              -75.34423828125,\n              41.68111756290652\n            ],\n            [\n              -75.2783203125,\n              41.91045347666418\n            ],\n            [\n              -75.38818359375,\n              42.00848901572399\n            ],\n            [\n              -75.377197265625,\n              42.09007006868398\n            ],\n            [\n              -75.223388671875,\n              42.17968819665961\n            ],\n            [\n              -74.970703125,\n              42.26917949243506\n            ],\n            [\n              -74.8388671875,\n              42.32606244456202\n            ],\n            [\n              -74.520263671875,\n              42.415346114253616\n            ],\n            [\n              -74.278564453125,\n              42.54498667313236\n            ],\n            [\n              -74.322509765625,\n              42.64204079304426\n            ],\n            [\n              -74.410400390625,\n              42.80346172417078\n            ],\n            [\n              -74.68505859374999,\n              42.924251753870685\n            ],\n            [\n              -75.069580078125,\n              42.98053954751642\n            ],\n            [\n              -75.38818359375,\n              42.96446257387128\n            ],\n            [\n              -75.684814453125,\n              42.93229601903058\n            ],\n            [\n              -75.9375,\n              42.87596410238256\n            ],\n            [\n              -76.201171875,\n              42.827638636242284\n            ],\n            [\n              -76.26708984375,\n              42.72280375732727\n            ],\n            [\n              -76.2890625,\n              42.601619944327965\n            ],\n            [\n              -76.2890625,\n              42.52069952914966\n            ],\n            [\n              -76.343994140625,\n              42.415346114253616\n            ],\n            [\n              -76.46484375,\n              42.382894009614034\n            ],\n            [\n              -76.640625,\n              42.431565872579185\n            ],\n            [\n              -76.7724609375,\n              42.39912215986002\n            ],\n            [\n              -76.80541992187499,\n              42.24478535602799\n            ],\n            [\n              -76.88232421875,\n              42.285437007491545\n            ],\n            [\n              -76.9482421875,\n              42.415346114253616\n            ],\n            [\n              -77.04711914062499,\n              42.44778143462245\n            ],\n            [\n              -77.14599609375,\n              42.415346114253616\n            ],\n            [\n              -77.2998046875,\n              42.382894009614034\n            ],\n            [\n              -77.222900390625,\n              42.54498667313236\n            ],\n            [\n              -77.442626953125,\n              42.69858589169842\n            ],\n            [\n              -77.574462890625,\n              42.60970621339408\n            ],\n            [\n              -77.640380859375,\n              42.48830197960227\n            ],\n            [\n              -77.728271484375,\n              42.439674178149424\n            ],\n            [\n              -77.6513671875,\n              42.31793945446847\n            ],\n            [\n              -77.596435546875,\n              42.22851735620852\n            ],\n            [\n              -77.5634765625,\n              42.09007006868398\n            ],\n            [\n              -77.6953125,\n              41.92680320648791\n            ],\n            [\n              -77.9150390625,\n              41.83682786072714\n            ],\n            [\n              -78.0908203125,\n              41.795888098191426\n            ],\n            [\n              -78.453369140625,\n              41.599013054830216\n            ],\n            [\n              -78.453369140625,\n              41.50857729743935\n            ],\n            [\n              -78.42041015625,\n              41.376808565702355\n            ],\n            [\n              -78.3984375,\n              41.21172151054787\n            ],\n            [\n              -78.519287109375,\n              41.054501963290505\n            ],\n            [\n              -78.541259765625,\n              40.9218144123785\n            ],\n            [\n              -78.409423828125,\n              40.713955826286046\n            ],\n            [\n              -78.299560546875,\n              40.55554790286311\n            ],\n            [\n              -78.343505859375,\n              40.48873742102282\n            ],\n            [\n              -78.475341796875,\n              40.30466538259176\n            ],\n            [\n              -78.64013671875,\n              40.06125658140474\n            ],\n            [\n              -78.826904296875,\n              39.9434364619742\n            ],\n            [\n              -78.848876953125,\n              39.80853604144591\n            ],\n            [\n              -78.85986328125,\n              39.715638134796336\n            ],\n            [\n              -78.99169921875,\n              39.69873414348139\n            ],\n            [\n              -79.046630859375,\n              39.64799732373418\n            ],\n            [\n              -79.266357421875,\n              39.436192999314095\n            ],\n            [\n              -79.420166015625,\n              39.2832938689385\n            ],\n            [\n              -79.354248046875,\n              39.26628442213066\n            ],\n            [\n              -79.266357421875,\n              39.232253141714885\n            ],\n            [\n              -79.2333984375,\n              39.155622393423215\n            ],\n            [\n              -79.244384765625,\n              39.01918369029134\n            ],\n            [\n              -79.27734374999999,\n              38.89103282648846\n            ],\n            [\n              -79.398193359375,\n              38.74551518488265\n            ],\n            [\n              -79.661865234375,\n              38.54816542304656\n            ],\n            [\n              -79.683837890625,\n              38.47079371120379\n            ],\n            [\n              -79.727783203125,\n              38.34165619279595\n            ],\n            [\n              -79.815673828125,\n              38.20365531807149\n            ],\n            [\n              -80.04638671875,\n              38.013476231041935\n            ],\n            [\n              -80.17822265625,\n              37.779398571318765\n            ],\n            [\n              -80.2880859375,\n              37.59682400108367\n            ],\n            [\n              -80.4638671875,\n              37.47485808497102\n            ],\n            [\n              -80.694580078125,\n              37.38761749978395\n            ],\n            [\n              -80.771484375,\n              37.23032838760387\n            ],\n            [\n              -80.57373046875,\n              37.26530995561875\n            ],\n            [\n              -80.44189453125,\n              37.309014074275915\n            ],\n            [\n              -80.255126953125,\n              37.31775185163688\n            ],\n            [\n              -80.013427734375,\n              37.3002752813443\n            ],\n            [\n              -79.8486328125,\n              37.23907530202184\n            ],\n            [\n              -79.771728515625,\n              37.18657859524883\n            ],\n            [\n              -79.6728515625,\n              37.07271048132943\n            ],\n            [\n              -79.541015625,\n              37.09900294387622\n            ],\n            [\n              -79.354248046875,\n              37.142803443716836\n            ],\n            [\n              -79.1455078125,\n              37.10776507118514\n            ],\n            [\n              -79.112548828125,\n              37.055177106660814\n            ],\n            [\n              -78.936767578125,\n              36.932330061503144\n            ],\n            [\n              -78.837890625,\n              36.94111143010769\n            ],\n            [\n              -78.662109375,\n              37.055177106660814\n            ],\n            [\n              -78.486328125,\n              37.03763967977139\n            ],\n            [\n              -78.42041015625,\n              36.94111143010769\n            ],\n            [\n              -78.20068359374999,\n              36.96744946416934\n            ],\n            [\n              -77.904052734375,\n              37.03763967977139\n            ],\n            [\n              -77.750244140625,\n              37.081475648860525\n            ],\n            [\n              -77.53051757812499,\n              37.081475648860525\n            ],\n            [\n              -77.354736328125,\n              37.07271048132943\n            ],\n            [\n              -77.069091796875,\n              37.081475648860525\n            ],\n            [\n              -76.959228515625,\n              37.01132594307015\n            ],\n            [\n              -76.893310546875,\n              36.932330061503144\n            ],\n            [\n              -76.871337890625,\n              36.83566824724438\n            ],\n            [\n              -76.849365234375,\n              36.677230602346214\n            ],\n            [\n              -76.7724609375,\n              36.527294814546245\n            ],\n            [\n              -76.629638671875,\n              36.55377524336089\n            ],\n            [\n              -76.46484375,\n              36.589068371399115\n            ],\n            [\n              -76.35498046875,\n              36.48314061639213\n            ],\n            [\n              -76.256103515625,\n              36.57142382346277\n            ],\n            [\n              -76.190185546875,\n              36.66841891894786\n            ],\n            [\n              -76.0693359375,\n              36.65079252503471\n            ],\n            [\n              -75.9375,\n              36.66841891894786\n            ],\n            [\n              -75.948486328125,\n              36.76529191711624\n            ],\n            [\n              -75.904541015625,\n              37.01132594307015\n            ],\n            [\n              -75.926513671875,\n              37.17782559332976\n            ],\n            [\n              -75.882568359375,\n              37.42252593456307\n            ],\n            [\n              -75.618896484375,\n              37.640334898059486\n            ],\n            [\n              -75.509033203125,\n              37.82280243352756\n            ],\n            [\n              -75.38818359375,\n              38.013476231041935\n            ],\n            [\n              -75.16845703124999,\n              38.272688535980976\n            ],\n            [\n              -75.1904296875,\n              38.41916639395372\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bertani, Isabella","contributorId":194574,"corporation":false,"usgs":false,"family":"Bertani","given":"Isabella","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":824991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhatt, Gopal 0000-0002-6627-793X","orcid":"https://orcid.org/0000-0002-6627-793X","contributorId":252963,"corporation":false,"usgs":false,"family":"Bhatt","given":"Gopal","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":824992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":824994,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227801,"text":"70227801 - 2022 - High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape","interactions":[],"lastModifiedDate":"2022-03-15T16:56:30.794133","indexId":"70227801","displayToPublicDate":"2021-07-23T15:54:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (<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":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":826944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matmon, Ari","contributorId":196405,"corporation":false,"usgs":false,"family":"Matmon","given":"Ari","email":"","affiliations":[],"preferred":false,"id":826945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, Maurice","contributorId":269392,"corporation":false,"usgs":false,"family":"Arnold","given":"Maurice","email":"","affiliations":[],"preferred":false,"id":827000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aumaitre, Georges","contributorId":269393,"corporation":false,"usgs":false,"family":"Aumaitre","given":"Georges","email":"","affiliations":[],"preferred":false,"id":827001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bourles, Didier","contributorId":269394,"corporation":false,"usgs":false,"family":"Bourles","given":"Didier","email":"","affiliations":[],"preferred":false,"id":827002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keddadouche, Karim","contributorId":269395,"corporation":false,"usgs":false,"family":"Keddadouche","given":"Karim","email":"","affiliations":[],"preferred":false,"id":827003,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70222585,"text":"70222585 - 2022 - Temporal and petrogenetic links between Mesoproterozoic alkaline and carbonatite magmas at Mountain Pass, California","interactions":[],"lastModifiedDate":"2021-11-26T17:49:19.982303","indexId":"70222585","displayToPublicDate":"2021-07-22T06:31:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and petrogenetic links between Mesoproterozoic alkaline and carbonatite magmas at Mountain Pass, California","docAbstract":"<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":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":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, Thomas","contributorId":279728,"corporation":false,"usgs":false,"family":"Astor","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":835411,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Boer, Matthias M.","contributorId":279729,"corporation":false,"usgs":false,"family":"Boer","given":"Matthias","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835412,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Calvo, Leonor G.","contributorId":279730,"corporation":false,"usgs":false,"family":"Calvo","given":"Leonor","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":835413,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clark, Patrick","contributorId":6951,"corporation":false,"usgs":true,"family":"Clark","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":835414,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cramer, Michael D.","contributorId":139159,"corporation":false,"usgs":false,"family":"Cramer","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":12665,"text":"University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":835415,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Encinas-Lara, Miguel S.","contributorId":279731,"corporation":false,"usgs":false,"family":"Encinas-Lara","given":"Miguel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":835416,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Escarzaga, Stephen M.","contributorId":279732,"corporation":false,"usgs":false,"family":"Escarzaga","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835417,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Fisher, Adrian","contributorId":279734,"corporation":false,"usgs":false,"family":"Fisher","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":835418,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Fernandez-Guisuraga, Jose M","contributorId":279733,"corporation":false,"usgs":false,"family":"Fernandez-Guisuraga","given":"Jose","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":835419,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gdulova, Katerina","contributorId":279735,"corporation":false,"usgs":false,"family":"Gdulova","given":"Katerina","email":"","affiliations":[],"preferred":false,"id":835420,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gillespie, Breahna M.","contributorId":279736,"corporation":false,"usgs":false,"family":"Gillespie","given":"Breahna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835421,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Griebel, Anne","contributorId":279737,"corporation":false,"usgs":false,"family":"Griebel","given":"Anne","email":"","affiliations":[],"preferred":false,"id":835422,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hanan, Niall P","contributorId":197060,"corporation":false,"usgs":false,"family":"Hanan","given":"Niall","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":835423,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hanggito, Muhammed S.","contributorId":279738,"corporation":false,"usgs":false,"family":"Hanggito","given":"Muhammed","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":835424,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Haselberger, Stefan","contributorId":279739,"corporation":false,"usgs":false,"family":"Haselberger","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":835425,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Havrilla, Caroline A. 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":146326,"corporation":false,"usgs":true,"family":"Havrilla","given":"Caroline","email":"","middleInitial":"A.","affiliations":[{"id":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, Wenjie","contributorId":279740,"corporation":false,"usgs":false,"family":"Ji","given":"Wenjie","affiliations":[],"preferred":false,"id":835428,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Karl, Jason W.","contributorId":22616,"corporation":false,"usgs":true,"family":"Karl","given":"Jason W.","affiliations":[],"preferred":false,"id":835429,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Kraushaar, Sabine","contributorId":279742,"corporation":false,"usgs":false,"family":"Kraushaar","given":"Sabine","email":"","affiliations":[],"preferred":false,"id":835430,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Mauritz, Marguerite E.","contributorId":279744,"corporation":false,"usgs":false,"family":"Mauritz","given":"Marguerite E.","affiliations":[],"preferred":false,"id":835431,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Lyons, Mitchell","contributorId":192343,"corporation":false,"usgs":false,"family":"Lyons","given":"Mitchell","email":"","affiliations":[],"preferred":false,"id":835432,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Marzolff, Irene","contributorId":279743,"corporation":false,"usgs":false,"family":"Marzolff","given":"Irene","email":"","affiliations":[],"preferred":false,"id":835433,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"McIntire, C. D.","contributorId":35274,"corporation":false,"usgs":false,"family":"McIntire","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":835434,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Metzen, Daniel","contributorId":279745,"corporation":false,"usgs":false,"family":"Metzen","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":835435,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Mendez-Barroso, Luis A.","contributorId":279746,"corporation":false,"usgs":false,"family":"Mendez-Barroso","given":"Luis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":835436,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Power, Simon C.","contributorId":279747,"corporation":false,"usgs":false,"family":"Power","given":"Simon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":835437,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Prosek, Jiri","contributorId":279748,"corporation":false,"usgs":false,"family":"Prosek","given":"Jiri","email":"","affiliations":[],"preferred":false,"id":835438,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Sanz-Ablanedo, Enoc","contributorId":279749,"corporation":false,"usgs":false,"family":"Sanz-Ablanedo","given":"Enoc","email":"","affiliations":[],"preferred":false,"id":835439,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Sauer, Katherine J.","contributorId":279750,"corporation":false,"usgs":false,"family":"Sauer","given":"Katherine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":835440,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Schulze-Bruninghoff, Damian","contributorId":279751,"corporation":false,"usgs":false,"family":"Schulze-Bruninghoff","given":"Damian","email":"","affiliations":[],"preferred":false,"id":835441,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Simova, Petra","contributorId":279752,"corporation":false,"usgs":false,"family":"Simova","given":"Petra","email":"","affiliations":[],"preferred":false,"id":835442,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Sitch, Stephen","contributorId":97620,"corporation":false,"usgs":true,"family":"Sitch","given":"Stephen","affiliations":[],"preferred":false,"id":835443,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Smit, Julian L.","contributorId":279753,"corporation":false,"usgs":false,"family":"Smit","given":"Julian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":835444,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Steele, Caiti M.","contributorId":279754,"corporation":false,"usgs":false,"family":"Steele","given":"Caiti","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835445,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Suarez-Seoane, Susana","contributorId":279755,"corporation":false,"usgs":false,"family":"Suarez-Seoane","given":"Susana","email":"","affiliations":[],"preferred":false,"id":835446,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Vargas, Sergio A.","contributorId":279756,"corporation":false,"usgs":false,"family":"Vargas","given":"Sergio","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":835447,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835336,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Visser, Fleur","contributorId":279757,"corporation":false,"usgs":false,"family":"Visser","given":"Fleur","email":"","affiliations":[],"preferred":false,"id":835448,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Wachendorf, Michael","contributorId":279758,"corporation":false,"usgs":false,"family":"Wachendorf","given":"Michael","email":"","affiliations":[],"preferred":false,"id":835449,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Wirnsberger, Hannes","contributorId":279759,"corporation":false,"usgs":false,"family":"Wirnsberger","given":"Hannes","email":"","affiliations":[],"preferred":false,"id":835450,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Wojcikiewicz, Robert","contributorId":279760,"corporation":false,"usgs":false,"family":"Wojcikiewicz","given":"Robert","email":"","affiliations":[],"preferred":false,"id":835451,"contributorType":{"id":1,"text":"Authors"},"rank":48}]}}
,{"id":70222374,"text":"70222374 - 2022 - Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing","interactions":[],"lastModifiedDate":"2022-02-15T15:33:21.112862","indexId":"70222374","displayToPublicDate":"2021-06-22T07:35:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":904,"text":"Arid Land Research and Management","active":true,"publicationSubtype":{"id":10}},"title":"Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing","docAbstract":"<p><span>Dryland (arid and semi-arid) ecosystems globally provide more than half of livestock production and store roughly one-third of soil organic carbon (SOC). Biogeochemical pools are changing due to shrub encroachment, livestock grazing, and climate change. We assessed how vegetation microsite, grazing, and precipitation interacted to affect SOC and total nitrogen (TN) at a site with long-term grazing manipulations and well-described patterns of shrub encroachment across elevation and mean annual precipitation (MAP) gradients. We analyzed SOC and TN in the context of vegetation cover at ungrazed locations within livestock exclosures, high-intensity grazing locations near water sources, and moderate-intensity grazing locations away from water. SOC was enhanced by MAP (</span><i>p &lt;</i><span> 0.0001), but grazing intensity had little effect regardless of MAP (</span><i>p =</i><span> 0.12). Shrubs enhanced SOC (300–1279 g C m</span><sup>−2</sup><span>) and TN (27–122 g N m</span><sup>−2</sup><span>), except at high MAP where the contribution or stabilization of shrub inputs relative to grassland inputs was likely diminished. Cover of perennial herbaceous plants and litter were significant predictors of SOC (</span><i>r</i><sup>2</sup><span>&nbsp;= 0.63 and 0.34, respectively) and TN (</span><i>r</i><sup>2</sup><span>&nbsp;= 0.64 and 0.30, respectively). Our results suggest that continued shrub encroachment in drylands can increase SOC storage when grass production remains high, although this response may saturate with higher MAP. In contrast, grazing – at least at the intensities of our sites – has a lesser effect. These effects underscore the need to understand how future climate and grazing may interact to influence dryland biogeochemical cycling.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15324982.2021.1952660","usgsCitation":"Throop, H.L., Munson, S.M., Hornslein, N., and McClaran, M., 2022, Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing: Arid Land Research and Management, v. 36, no. 1, p. 27-46, https://doi.org/10.1080/15324982.2021.1952660.","productDescription":"20 p.","startPage":"27","endPage":"46","ipdsId":"IP-126222","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":502623,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":387410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Throop, Heather L. 0000-0002-7963-4342","orcid":"https://orcid.org/0000-0002-7963-4342","contributorId":139051,"corporation":false,"usgs":false,"family":"Throop","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12633,"text":"Biology Department, New Mexico State University, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":819848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":819849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hornslein, Nicole","contributorId":261340,"corporation":false,"usgs":false,"family":"Hornslein","given":"Nicole","email":"","affiliations":[{"id":52828,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287, USA","active":true,"usgs":false}],"preferred":false,"id":819850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClaran, Mitchel P","contributorId":261341,"corporation":false,"usgs":false,"family":"McClaran","given":"Mitchel P","affiliations":[{"id":52829,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721-0043, USA","active":true,"usgs":false}],"preferred":false,"id":819851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222554,"text":"70222554 - 2022 - ShakeMap operations, policies, and procedures","interactions":[],"lastModifiedDate":"2022-02-15T15:34:51.442975","indexId":"70222554","displayToPublicDate":"2021-06-22T06:33:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"ShakeMap operations, policies, and procedures","docAbstract":"<p><span>The US Geological Survey’s ShakeMap is used domestically and globally for post-earthquake emergency management and response, engineering analyses, financial instruments, and other decision-making activities. Recent developments in the insurance, reinsurance, and catastrophe bond sectors link payouts of potentially hundreds of millions of dollars to ShakeMap products. Similarly, building codes, post-earthquake building damage forensic evaluations, and geotechnical evaluations often rely on estimated peak response-spectral values for site-specific evaluations that may lead to costly analyses, retrofits, or other expenditures. Given such activities, financial, engineering, and other technical users demand processing specifications and a metadata trail for actuarial, escrow, and forensic purposes for each significant earthquake. Recent inquiries include how and why maps change with time, how to interpret metadata, and how to obtain the creation and update history of various map layers. Similarly, the collection of ShakeMap scenarios and historical ShakeMaps—either created in earlier versions or rerun as part of the latest version of the ShakeMap Atlas—warrant a full explanation of the inputs, processing, and archiving given their contribution to fragility curve development and loss model calibration. For these reasons, in addition to event-specific ShakeMap metadata and a comprehensive online ShakeMap Manual, we have crafted this practice paper to answer several of the most frequently asked technical questions. We also describe an application programming interface (API) for accessing site-specific shaking metrics and their uncertainties for earthquake forensic purposes in a consistent fashion. In all, we describe the advantages of employing ShakeMaps for these critical purposes as well as describe their limitations and uncertainties, offering an extensive set of instructions and disclaimers that can be referenced by ShakeMap users.</span></p>","language":"English","publisher":"Sage Journals","doi":"10.1177/87552930211030298","usgsCitation":"Wald, D.J., Worden, C., Thompson, E.M., and Hearne, M., 2022, ShakeMap operations, policies, and procedures: Earthquake Spectra, v. 38, no. 1, p. 756-777, https://doi.org/10.1177/87552930211030298.","productDescription":"22 p.","startPage":"756","endPage":"777","ipdsId":"IP-129253","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":436064,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94RJYCS","text":"USGS data release","linkHelpText":"ShakeMap Sampling Tool"},{"id":387671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Napa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.4041748046875,\n              38.21444607848999\n            ],\n            [\n              -122.16247558593751,\n              38.21444607848999\n            ],\n            [\n              -122.16247558593751,\n              38.37611542403604\n            ],\n            [\n              -122.4041748046875,\n              38.37611542403604\n            ],\n            [\n              -122.4041748046875,\n              38.21444607848999\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820543,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254936,"text":"70254936 - 2022 - Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity","interactions":[],"lastModifiedDate":"2024-06-11T15:07:14.9712","indexId":"70254936","displayToPublicDate":"2021-06-18T10:00:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity","docAbstract":"<p><span>Climate change is impacting both the distribution and abundance of vegetation, especially in far northern latitudes. The effects of climate change are different for every plant assemblage and vary heterogeneously in both space and time. Small changes in climate could result in large vegetation responses in sensitive assemblages but weak responses in robust assemblages. But, patterns and mechanisms of sensitivity and robustness are not yet well understood, largely due to a lack of long-term measurements of climate and vegetation. Fortunately, observations are sometimes available across a broad spatial extent. We develop a novel statistical model for a multivariate response based on unknown cluster-specific effects and covariances, where cluster labels correspond to sensitivity and robustness. Our approach utilizes a prototype model for cluster membership that offers flexibility while enforcing smoothness in cluster probabilities across sites with similar characteristics. We demonstrate our approach with an application to vegetation abundance in Alaska, USA, in which we leverage the broad spatial extent of the study area as a proxy for unrecorded historical observations. In the context of the application, our approach yields interpretable site-level cluster labels associated with assemblage-level sensitivity and robustness without requiring strong a priori assumptions about the drivers of climate sensitivity.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1111/biom.13507","usgsCitation":"Scharf, H.R., Raiho, A.M., Pugh, S., Roland, C.A., Swanson, D., Stehn, S.E., and Hooten, M., 2022, Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity: Biometrics, v. 78, no. 4, p. 1427-1440, https://doi.org/10.1111/biom.13507.","productDescription":"14 p.","startPage":"1427","endPage":"1440","ipdsId":"IP-119567","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -148.99881777589104,\n              64.00887382817564\n            ],\n            [\n              -150.90884155174135,\n              64.041197362661\n            ],\n            [\n              -151.7868734550507,\n              64.08774410941011\n            ],\n            [\n              -152.9460496500005,\n              63.782134495939545\n            ],\n            [\n              -152.88639840190885,\n              62.28110828523958\n            ],\n            [\n              -151.75861699267762,\n              62.28489348947565\n            ],\n            [\n              -151.1597743848834,\n              62.454907128588\n            ],\n            [\n              -150.91883926563864,\n              62.618022201463916\n            ],\n            [\n              -150.27292809489717,\n              62.65550366893268\n            ],\n            [\n              -148.80774431364787,\n              63.44079256086752\n            ],\n            [\n              -148.99881777589104,\n              64.00887382817564\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"78","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Scharf, Henry R.","contributorId":206652,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","email":"","middleInitial":"R.","affiliations":[{"id":37371,"text":"Colorado State University, Department of Statistics","active":true,"usgs":false}],"preferred":false,"id":902931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raiho, Ann M.","contributorId":171526,"corporation":false,"usgs":false,"family":"Raiho","given":"Ann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pugh, Sierra","contributorId":338067,"corporation":false,"usgs":false,"family":"Pugh","given":"Sierra","email":"","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":902933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roland, Carl A.","contributorId":338070,"corporation":false,"usgs":false,"family":"Roland","given":"Carl","email":"","middleInitial":"A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, David K.","contributorId":338073,"corporation":false,"usgs":false,"family":"Swanson","given":"David K.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stehn, Sarah E.","contributorId":338076,"corporation":false,"usgs":false,"family":"Stehn","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":902930,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70221167,"text":"70221167 - 2022 - Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada","interactions":[],"lastModifiedDate":"2022-03-15T15:55:06.481082","indexId":"70221167","displayToPublicDate":"2021-06-03T07:44:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada","docAbstract":"<p><span>Rip currents can move unsuspecting swimmers offshore rapidly and represent a significant risk to beach users worldwide, including along the northern coast of Prince Edward Island (PEI), Canada. Although many rip currents are ephemeral and/or spatially variable in response to changes in the nearshore bar morphology and wave and tidal forcing, it is possible for rip channels to be geologically controlled and quasi-permanent in morphology, location, and flow. Several rip channels along the northern coast of PEI appear in the same location from year to year and correspond to elongated lakes, rivers, or swales behind the modern coastal dune system. Given their persistent location and alignment with back dune hydrology, ground-penetrating radar surveys were collected along Brackley and Cavendish Beaches in July 2019 to determine whether persistent rip channels are associated with now-buried river channels extending beneath the modern dunes and continuing offshore. Strong reflectors similar to V-shaped river valleys are present in alongshore transects at both beaches. These infilled valleys align with back-dune hydrology and persistent rip channels, suggesting modern rip channels are structurally controlled and maintained by antecedent geology. This link provides important guidance to beach access management and the distribution of lifesaving strategies along the affected beaches.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02723646.2021.1923389","usgsCitation":"Wernette, P., and Houser, C., 2022, Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada: Physical Geography, v. 43, no. 2, p. 145-162, https://doi.org/10.1080/02723646.2021.1923389.","productDescription":"18 p.","startPage":"145","endPage":"162","ipdsId":"IP-118879","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":386200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Prince Edward Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -64.434814453125,\n              45.909122123907295\n            ],\n            [\n              -61.85852050781249,\n              45.909122123907295\n            ],\n            [\n              -61.85852050781249,\n              47.16730970131578\n            ],\n            [\n              -64.434814453125,\n              47.16730970131578\n            ],\n            [\n              -64.434814453125,\n              45.909122123907295\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wernette, Phillipe Alan 0000-0002-8902-5575","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":259274,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe Alan","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Chris 0000-0002-7880-7619","orcid":"https://orcid.org/0000-0002-7880-7619","contributorId":259276,"corporation":false,"usgs":false,"family":"Houser","given":"Chris","email":"","affiliations":[{"id":52343,"text":"University of Windsor, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":816926,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226839,"text":"70226839 - 2022 - Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","interactions":[],"lastModifiedDate":"2022-01-25T17:32:36.593574","indexId":"70226839","displayToPublicDate":"2021-06-03T06:50:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (<i>Lavinia exilicauda chi</i>)","title":"Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","docAbstract":"<div>Stable isotopes recorded in fish eye lenses are an emerging tool to track dietary shifts coincident with use of diverse habitats over the lifetime of individuals. Eye lenses are metabolically inert, sequentially deposited, archival tissues that can open avenues to chronicle contaminant exposures, diet histories, trophic dynamics and migratory histories of individual fishes. In this study, we demonstrated that trophic histories reconstructed using eye lenses can resolve key uncertainties regarding diet and trophic habitat shifts. Clear Lake hitch (<i>Lavinia exilicauda chi</i>), a threatened cyprinid, inhabits a single lake (Clear Lake, Lake County, California) and utilizes tributary streams for reproduction. Bayesian mixing models applied to δ<sup>13</sup>C and δ<sup>15</sup>N recorded in eye lenses uncovered ontogenetic diet shifts that corresponded with shifts in occupation of habitats providing spawning (tributary streams), rearing (littoral lake), and growth (pelagic lake) functions. The reconstruction of size-structured trophic and habitat information can provide vital information needed to manage and conserve imperiled species such as the Clear Lake hitch.</div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0318","usgsCitation":"Young, M.J., Violette, V.L., Clause, J.K., Bell-Tilcock, M., Whitman, G., Johnson, R.C., and Feyrer, F.V., 2022, Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi): Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 1, p. 21-30, https://doi.org/10.1139/cjfas-2020-0318.","productDescription":"10 p.","startPage":"21","endPage":"30","ipdsId":"IP-119498","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":449808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2020-0318","text":"Publisher Index Page"},{"id":392943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.00292968749999,\n              38.8824811975508\n            ],\n            [\n              -122.53601074218751,\n              38.8824811975508\n            ],\n            [\n              -122.53601074218751,\n              39.1854331703021\n            ],\n            [\n              -123.00292968749999,\n              39.1854331703021\n            ],\n            [\n              -123.00292968749999,\n              38.8824811975508\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"79","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Violette, Veronica L. 0000-0002-7390-4655 vviolette@usgs.gov","orcid":"https://orcid.org/0000-0002-7390-4655","contributorId":222824,"corporation":false,"usgs":true,"family":"Violette","given":"Veronica","email":"vviolette@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clause, Justin Kinsey 0000-0003-0205-0821","orcid":"https://orcid.org/0000-0003-0205-0821","contributorId":270125,"corporation":false,"usgs":true,"family":"Clause","given":"Justin","email":"","middleInitial":"Kinsey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell-Tilcock, Miranda 0000-0002-2714-2100","orcid":"https://orcid.org/0000-0002-2714-2100","contributorId":270127,"corporation":false,"usgs":false,"family":"Bell-Tilcock","given":"Miranda","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":828453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, George","contributorId":215401,"corporation":false,"usgs":false,"family":"Whitman","given":"George","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":828454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Rachel C.","contributorId":196877,"corporation":false,"usgs":false,"family":"Johnson","given":"Rachel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":828455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232697,"text":"70232697 - 2022 - Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy","interactions":[],"lastModifiedDate":"2022-07-12T13:31:32.868472","indexId":"70232697","displayToPublicDate":"2021-06-01T08:25:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy","docAbstract":"<p>A central challenge in applied ecology is understanding the effect of anthropogenic fatalities on wildlife populations and predicting which populations may be particularly vulnerable and in greatest need of management attention. We used 3 approaches to investigate potential effects of fatalities from collisions with wind turbines on 14 raptor species for both current (106 GW) and anticipated future (241 GW) levels of installed wind energy capacity in the United States. Our goals were to identify species at relatively high vs low risk of experiencing population declines from turbine collisions and to also compare results generated from these approaches. Two of the approaches used a calculated turbine-caused mortality rate to decrement population growth, where population trends were derived either from the North American Breeding Bird Survey or a matrix model parameterized from literature-derived demographic values. The third approach was potential biological removal, which estimates the number of fatalities that allow a population to reach and maintain its optimal sustainable population set by management concerns. Different results among the methods reveal substantial gaps in knowledge and uncertainty in both demographic parameters and species-specific estimates of fatalities from wind turbines. Our results suggest that, of the 14 species studied, those with relatively higher potential of population-level impacts from wind turbine collisions included barn owl, ferruginous hawk, golden eagle, American kestrel, and red-tailed hawk. Burrowing owl, Cooper’s hawk, great horned owl, northern harrier, turkey vulture, and osprey had a relatively lower potential for population impacts, and results were not easily interpretable for merlin, prairie falcon, and Swainson’s hawk. Projections of current levels of fatalities to future wind energy scenarios at 241 GW of installed capacity suggest some species could experience population declines because of turbine collisions. Populations of those species may benefit from research to identify tools to prevent or reduce raptor collisions with wind turbines.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3531","usgsCitation":"Diffendorfer, J., Stanton, J.C., Beston, J.A., Thogmartin, W.E., Loss, S., Katzner, T., Johnson, D., Erickson, R.A., Merrill, M., and Corum, M.D., 2022, Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy: Ecosphere, v. 12, no. 6, e03531, 17 p., https://doi.org/10.1002/ecs2.3531.","productDescription":"e03531, 17 p.","ipdsId":"IP-108806","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3531","text":"Publisher Index Page"},{"id":403472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":846312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beston, Julie A. jbeston@usgs.gov","contributorId":5673,"corporation":false,"usgs":true,"family":"Beston","given":"Julie","email":"jbeston@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":846314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loss, Scott R.","contributorId":140471,"corporation":false,"usgs":false,"family":"Loss","given":"Scott R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":846316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":846317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":846318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846319,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":846320,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Corum, Margo D. 0000-0002-9038-3935","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":210593,"corporation":false,"usgs":true,"family":"Corum","given":"Margo","email":"","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":846321,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
]}