{"pageNumber":"204","pageRowStart":"5075","pageSize":"25","recordCount":185189,"records":[{"id":70252241,"text":"70252241 - 2024 - Multiple stressors mediate the effects of warming on leaf decomposition in a large regulated river","interactions":[],"lastModifiedDate":"2024-03-21T11:57:22.485186","indexId":"70252241","displayToPublicDate":"2024-03-18T06:53:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Multiple stressors mediate the effects of warming on leaf decomposition in a large regulated river","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Predicting how increasing temperatures interact with other global change drivers to influence the structure and dynamics of Earth's ecosystems is a primary challenge in ecology. Our study made use of multiple simultaneous “natural experiments” to examine how rapid warming, declining nutrients, invasive consumers, and riparian invasive species management interact to influence leaf decomposition in a large and regulated river. Specifically, we compared the breakdown of cottonwood (<i>Populus fremontii</i>), willow (<i>Salix exigua</i>), and saltcedar (<i>Tamarix</i><span>&nbsp;</span>sp.) leaf litter in 2022 to a previous experiment from 1998 that occurred under much cooler water temperatures, and had higher water phosphorus concentrations, low numbers of invasive New Zealand mudsnails (<i>Potamopyrgus antipodarum</i>), and unaltered litter chemistry from the herbivory of saltcedar leaf beetles (<i>Diorhabda carinulata</i>). We found that the effects of up to 10°C warmer temperatures on leaf decomposition were mediated by the establishment and management of invasive species and declining water nutrient concentrations arising from upstream reservoir lowering. Such interactions led to accelerated breakdown of saltcedar, but relatively minor effects of warming on the rate of cottonwood and willow decomposition. Additionally, our results demonstrate the potential for favorable invasive species management outcomes in the terrestrial environment to produce unintended responses in adjacent freshwater ecosystems. As temperatures continue to rise, it is critical that future studies consider how warming interacts with multiple stressors and environmental factors to influence processes such as decomposition in freshwater ecosystems.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4804","usgsCitation":"Scholl, E.A., Hanus, K.R., Gardner, T., and Kennedy, T., 2024, Multiple stressors mediate the effects of warming on leaf decomposition in a large regulated river: Ecosphere, v. 15, no. 3, e4804, 16 p., https://doi.org/10.1002/ecs2.4804.","productDescription":"e4804, 16 p.","ipdsId":"IP-156086","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":440096,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4804","text":"Publisher Index Page"},{"id":435019,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J089MQ","text":"USGS data release","linkHelpText":"Environmental, biological, and leaf litter decomposition data in the Colorado River downstream of Glen Canyon Dam between 1998 and 2022"},{"id":426827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.20498168821322,\n              37.18200298393225\n            ],\n            [\n              -112.20498168821322,\n              36.41673905819012\n            ],\n            [\n              -110.94719859794789,\n              36.41673905819012\n            ],\n            [\n              -110.94719859794789,\n              37.18200298393225\n            ],\n            [\n              -112.20498168821322,\n              37.18200298393225\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Scholl, Eric Arthur 0000-0003-3028-9979","orcid":"https://orcid.org/0000-0003-3028-9979","contributorId":329480,"corporation":false,"usgs":true,"family":"Scholl","given":"Eric","email":"","middleInitial":"Arthur","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":897009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanus, Kyle R.","contributorId":334946,"corporation":false,"usgs":false,"family":"Hanus","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":79657,"text":"formerly: US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ 86001","active":true,"usgs":false}],"preferred":false,"id":897010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Tyler","contributorId":332836,"corporation":false,"usgs":false,"family":"Gardner","given":"Tyler","email":"","affiliations":[{"id":79659,"text":"(1) formerly: US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ 86001; (2) Arizona Game and Fish Department, Flagstaff, AZ, 86001; (2) Arizona Game and Fish Dept., Flagstaff, AZ, 86001","active":true,"usgs":false}],"preferred":false,"id":897011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":897012,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252224,"text":"70252224 - 2024 - Distinct yet adjacent earthquake sequences near the Mendocino Triple Junction: 20 December 2021 Mw 6.1 and 6.0 Petrolia, and 20 December 2022 Mw 6.4 Ferndale","interactions":[],"lastModifiedDate":"2024-03-21T11:47:27.222512","indexId":"70252224","displayToPublicDate":"2024-03-18T06:45:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Distinct yet adjacent earthquake sequences near the Mendocino Triple Junction: 20 December 2021 Mw 6.1 and 6.0 Petrolia, and 20 December 2022 Mw 6.4 Ferndale","docAbstract":"<p><span>Two earthquake sequences occurred a year apart at the Mendocino Triple Junction in northern California: first the 20 December 2021&nbsp;</span><span class=\"inline-formula no-formula-id\">�w</span><span>&nbsp;6.1 and 6.0 Petrolia sequence, then the 20 December 2022&nbsp;</span><span class=\"inline-formula no-formula-id\">�w</span><span>&nbsp;6.4 Ferndale sequence. To delineate active faults and understand the relationship between these sequences, we applied an automated deep‐learning workflow to create enhanced and relocated earthquake catalogs for both the sequences. The enhanced catalog newly identified more than 14,000&nbsp;</span><strong>M</strong><span>&nbsp;0–2 earthquakes and also found 852 of 860 already cataloged events. We found that deep‐learning and template‐matching approaches complement each other to improve catalog completeness because deep learning finds more&nbsp;</span><strong>M</strong><span>&nbsp;0–2 background seismicity, whereas template‐matching finds the smallest&nbsp;</span><strong>M</strong><span>&nbsp;&lt; 0 events near already known events. The enhanced catalog revealed that the 2021 Petrolia and 2022 Ferndale sequences were distinct in space and time, but adjacent in space. Though both the sequences happened in the downgoing Gorda slab, the shallower Ferndale sequence ruptured within the uppermost slab near the subduction interface, while the onshore Petrolia sequence occurred deeper in the mantle. Deep‐learning‐enhanced earthquake catalogs could help monitor evolving earthquake sequences, identify detailed seismogenic fault structures, and understand space–time variations in earthquake rupture and sequence behavior in a complex tectonic setting.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230053","usgsCitation":"Yoon, C., and Shelly, D.R., 2024, Distinct yet adjacent earthquake sequences near the Mendocino Triple Junction: 20 December 2021 Mw 6.1 and 6.0 Petrolia, and 20 December 2022 Mw 6.4 Ferndale: The Seismic Record, v. 4, no. 1, p. 81-92, https://doi.org/10.1785/0320230053.","productDescription":"12 p.","startPage":"81","endPage":"92","ipdsId":"IP-160618","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":440099,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230053","text":"Publisher Index Page"},{"id":426825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.13993753734817,\n              41.452141149959374\n            ],\n            [\n              -125.13993753734817,\n              39.78442225223091\n            ],\n            [\n              -123.11845316234829,\n              39.78442225223091\n            ],\n            [\n              -123.11845316234829,\n              41.452141149959374\n            ],\n            [\n              -125.13993753734817,\n              41.452141149959374\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":896979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":896980,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70252931,"text":"70252931 - 2024 - Analysis of mitochondrial DNA sequence data demonstrates that monophyly of myotis occultus is complicated by greater sampling of myotis lucifugus","interactions":[],"lastModifiedDate":"2024-04-11T11:48:04.087404","indexId":"70252931","displayToPublicDate":"2024-03-18T06:45:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of mitochondrial DNA sequence data demonstrates that monophyly of myotis occultus is complicated by greater sampling of myotis lucifugus","docAbstract":"<div id=\"divARTICLECONTENTTop\"><div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">The validity of<span>&nbsp;</span><i>Myotis occultus</i><span>&nbsp;</span>as a species unique from<span>&nbsp;</span><i>Myotis lucifugus</i><span>&nbsp;</span>has been a source of debate. Most recently, many authorities treat<span>&nbsp;</span><i>M. occultus</i><span>&nbsp;</span>as a distinct species, at least in part because a previous study showed that<span>&nbsp;</span><i>M. occultus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>M. l. carissima</i><span>&nbsp;</span>(the subspecies that occurs in closest geographic proximity to<span>&nbsp;</span><i>M. occultus</i>) form separate monophyletic clades based on sequences of two mitochondrial genes (cytochrome-<i>b</i><span>&nbsp;</span>[cytb] and cytochrome oxidase subunit II [COII]). We re-evaluated the phylogenetic relationship between<span>&nbsp;</span><i>M. occultus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>M. lucifugus</i><span>&nbsp;</span>based on mitochondrial sequences using an expanded dataset of cytb and COII sequences that originated from more genetically diverse specimens of<span>&nbsp;</span><i>M. lucifugus</i><span>&nbsp;</span>collected across a broader geographic area. Based on a phylogenetic analysis, we found that<span>&nbsp;</span><i>M. occultus</i><span>&nbsp;</span>sublineages embedded within a well-supported clade that included some specimens of<span>&nbsp;</span><i>M. lucifugus</i>. These results indicate that the previous genetic analysis demonstrating that<span>&nbsp;</span><i>M. occultus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>M. lucifugus</i><span>&nbsp;</span>form distinct monophyletic groups is unsupported by our larger dataset. Future research will likely need to focus on genetic work involving whole-genome sequencing of nuclear DNA to better resolve the true taxonomic relationship between<span>&nbsp;</span><i>M. occultus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>M. lucifugus</i>.</p><p id=\"ID0EF\" class=\"first\">La valides de Myotis occultus como una especie distinta a Myotis lucifugus ha sido fuente de debate. Recientemente, muchas autoridades han considerado M. occultus como una especie diferente, en parte porque un estudio anterior mostró que M. occultus y M. l. carissima (la subespecie con la mayor proximidad geográfica a M. occultus) forman clados monofiléticos separados basados en secuencias de dos genes mitocondriales (el citocromo-b [cytb] y la subunidad II de citocromo oxidasa [COII]). Nosotros hemos reevaluado la relación filogenética entre M. occultus y M. lucifugus usando una ampliada colección de datos que contiene secuencias de los genes mitocondriales cytb y COII de especímenes de M. lucifugus genéticamente más diversos que fueron muestreados en un área geográfica más extensa. Nuestro análisis filogenético muestra que los sublinajes de M. occultus están incrustados dentro de un clado bien respaldado que incluye algunos especímenes de M. lucifugus. Estos resultados indican que el análisis genético anterior que demostró que M. occultus y M. lucifugus forman grupos monofiléticos distintos no está respaldado por nuestra más amplia colección de datos. Es probable que para resolver mejor la verdadera relación taxonómica entre M. occultus y M. lucifugus sea necesario el uso de secuenciación del genoma completo del ADN nuclear.</p></div></div></div>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-67.4.255","usgsCitation":"Lorch, J., Piaggio, A.J., and Taylor, D.R., 2024, Analysis of mitochondrial DNA sequence data demonstrates that monophyly of myotis occultus is complicated by greater sampling of myotis lucifugus: Southwestern Naturalist, v. 67, no. 4, p. 255-262, https://doi.org/10.1894/0038-4909-67.4.255.","productDescription":"8 p.","startPage":"255","endPage":"262","ipdsId":"IP-148801","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":503829,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/4XK6W46C","text":"External Repository"},{"id":427693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":335548,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":898677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piaggio, Antoinette J.","contributorId":174782,"corporation":false,"usgs":false,"family":"Piaggio","given":"Antoinette","email":"","middleInitial":"J.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":898678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Daniel R. 0000-0001-5391-0321","orcid":"https://orcid.org/0000-0001-5391-0321","contributorId":260163,"corporation":false,"usgs":false,"family":"Taylor","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":52527,"text":"National Wildlife Health Center (previous employee)","active":true,"usgs":false}],"preferred":false,"id":898679,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252252,"text":"70252252 - 2024 - New diagnostic assessment of MCMC algorithm effectiveness, efficiency, reliability, and controllability","interactions":[],"lastModifiedDate":"2024-03-26T15:03:05.007788","indexId":"70252252","displayToPublicDate":"2024-03-18T06:42:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17179,"text":"IEEE Access","active":true,"publicationSubtype":{"id":10}},"title":"New diagnostic assessment of MCMC algorithm effectiveness, efficiency, reliability, and controllability","docAbstract":"<div class=\"u-mb-1\"><div>Markov Chain Monte Carlo (MCMC) is a robust statistical approach for estimating posterior distributions. However, the significant computational cost associated with MCMC presents a considerable challenge, complicating the selection of an appropriate algorithm tailored to the specific problem at hand. This study introduces a novel and comprehensive framework for evaluating the performance of MCMC algorithms, drawing inspiration from diagnostics used for multi-objective evolutionary algorithms. We employ visualizations to evaluate key algorithmic characteristics: Effectiveness (the ability to accurately find representative posterior modes, quantified by the Kullback-Leibler Divergence (KLD) andWasserstein Distance (WD)), Efficiency (the speed of posterior characterization), Reliability (consistency across different random seeds), and Controllability (insensitivity to hyperparameter variation). Evaluating three prominent MCMC algorithms—Metropolis-Hastings (MH), Adaptive Metropolis (AM), and Differential Evolution Adaptive Metropolis (DREAM)—on high-dimensional and bimodal test problems, our analysis uncovers several insights. First, across algorithms, the number of function evaluations most controls performance on the high-dimensional problem, while the number of chains most controls performance on the bimodal problem. While this suggests similar controllability across algorithms, differences emerge on the other algorithmic characteristics. For high numbers of functions evaluations, AM performs best on the high-dimensional problem, while for low (&lt;5) and high (&gt;15) chain counts, MH and AM perform best on the bimodal problem, as measured by KLD. However, outside these specific cases, DREAM consistently demonstrates superior efficiency and reliability, making it a robust choice for both high-dimensional and multimodal problems. These findings can inform MCMC algorithm selection for Bayesian inference applications, as well as hyperparameterization of the chosen algorithm...</div></div>","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/ACCESS.2024.3378752","usgsCitation":"KavianiHamedani, H., Quinn, J.D., and Smith, J.D., 2024, New diagnostic assessment of MCMC algorithm effectiveness, efficiency, reliability, and controllability: IEEE Access, v. 12, p. 42385-42400, https://doi.org/10.1109/ACCESS.2024.3378752.","productDescription":"16 p.","startPage":"42385","endPage":"42400","ipdsId":"IP-159625","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":440103,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/access.2024.3378752","text":"Publisher Index Page"},{"id":426884,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"KavianiHamedani, Hossein 0000-0002-9652-7418","orcid":"https://orcid.org/0000-0002-9652-7418","contributorId":334948,"corporation":false,"usgs":false,"family":"KavianiHamedani","given":"Hossein","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":897051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quinn, Julianne D. 0000-0001-7806-4416","orcid":"https://orcid.org/0000-0001-7806-4416","contributorId":334950,"corporation":false,"usgs":false,"family":"Quinn","given":"Julianne","email":"","middleInitial":"D.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":897052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Jared David 0000-0003-3124-8255","orcid":"https://orcid.org/0000-0003-3124-8255","contributorId":329716,"corporation":false,"usgs":true,"family":"Smith","given":"Jared","email":"","middleInitial":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":897053,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257434,"text":"70257434 - 2024 - White-tailed deer detection rates increase when coyotes are present","interactions":[],"lastModifiedDate":"2024-09-06T16:44:01.482689","indexId":"70257434","displayToPublicDate":"2024-03-17T11:37:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"White-tailed deer detection rates increase when coyotes are present","docAbstract":"<p><span>Predator species can indirectly affect prey species through the cost of anti-predator behavior responses, which may involve shifts in occupancy, space use, or movement. Quantifying the various strategies implemented by prey species to avoid adverse interactions with predators can lead to a better understanding of potential population-level repercussions. Therefore, the purpose of this study was to examine predator–prey interactions by quantifying the effect of predator species presence on detection rates of prey species, using coyotes (</span><i>Canis latrans</i><span>) and white-tailed deer (</span><i>Odocoileus virginianus</i><span>) in Central Appalachian forests of the eastern United States as a model predator–prey system. To test two competing hypotheses related to interspecific interactions, we modeled species detections from 319 camera traps with a two-species occupancy model that incorporated a continuous-time detection process. We found that white-tailed deer occupancy was independent of coyote occupancy, but white-tailed deer were more frequently detectable and had greater detection intensity at sites where coyotes were present, regardless of vegetation-related covariates. In addition, white-tailed deer detection rates at sites with coyotes were highest when presumed forage availability was relatively low. These findings suggest that white-tailed deer may be exhibiting an active avoidance behavioral response to predators by increasing movement rates when coyotes are present in an area, perhaps due to reactive evasive maneuvers and/or proactive attempts to reduce adverse encounters with them. Concurrently, coyotes could be occupying sites with higher white-tailed deer densities. Because white-tailed deer did not exhibit significant shifts in daily activity patterns based on coyote occupancy, we further suggest that white-tailed deer in our study system generally do not use temporal partitioning as their primary strategy for avoiding encounters with coyotes. Overall, our study implements a recently developed analytical approach for modeling multi-species occupancy from camera traps and provides novel ecological insight into the complex relationships between predator and prey species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11149","usgsCitation":"Clipp, H.L., Pesi, S.M., Miller, M.L., Gigliotti, L., Skelly, B.P., and Rota, C., 2024, White-tailed deer detection rates increase when coyotes are present: Ecology and Evolution, v. 14, no. 3, e11149, 13 pp., https://doi.org/10.1002/ece3.11149.","productDescription":"e11149, 13 pp.","ipdsId":"IP-157302","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11149","text":"Publisher Index Page"},{"id":433571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.4877790212181,\n              39.94978819373756\n            ],\n            [\n              -82.01878727948417,\n              39.01317775882444\n            ],\n            [\n              -82.58830516880357,\n              38.2047845680037\n            ],\n            [\n              -79.5468825034643,\n              37.66652638635898\n            ],\n            [\n              -77.96682473836029,\n              39.5141262945331\n            ],\n            [\n              -76.37907636338417,\n              40.11338027059526\n            ],\n            [\n              -77.28462588707731,\n              41.09189702989761\n            ],\n            [\n              -80.4877790212181,\n              39.94978819373756\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Clipp, Hannah L.","contributorId":342785,"corporation":false,"usgs":false,"family":"Clipp","given":"Hannah","email":"","middleInitial":"L.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":910392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pesi, Sarah M.","contributorId":342786,"corporation":false,"usgs":false,"family":"Pesi","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":910393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Madison L.","contributorId":342787,"corporation":false,"usgs":false,"family":"Miller","given":"Madison","email":"","middleInitial":"L.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":910394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gigliotti, Laura C. 0000-0002-6390-4133","orcid":"https://orcid.org/0000-0002-6390-4133","contributorId":200327,"corporation":false,"usgs":false,"family":"Gigliotti","given":"Laura C.","affiliations":[],"preferred":false,"id":910395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skelly, Brett P.","contributorId":342789,"corporation":false,"usgs":false,"family":"Skelly","given":"Brett","email":"","middleInitial":"P.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":910396,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rota, Christopher T.","contributorId":342791,"corporation":false,"usgs":false,"family":"Rota","given":"Christopher T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":910397,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252441,"text":"70252441 - 2024 - Data-driven adjustments for combined use of NGA-East hard-rock ground motion and site amplification models","interactions":[],"lastModifiedDate":"2024-05-07T14:35:47.184916","indexId":"70252441","displayToPublicDate":"2024-03-17T08:31:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Data-driven adjustments for combined use of NGA-East hard-rock ground motion and site amplification models","docAbstract":"<p><span>Model development in the Next Generation Attenuation-East (NGA-East) project included two components developed concurrently and independently: (1) earthquake ground-motion models (GMMs) that predict the median and aleatory variability of various intensity measures conditioned on magnitude and distance, derived for a reference hard-rock site condition with an average shear-wave velocity in the upper 30 m (</span><i>V<sub>S30</sub></i><span>) = 3000 m/s; and (2) a site amplification model that modifies intensity measures for softer site conditions. We investigate whether these models, when used in tandem, are compatible with ground-motion recordings in central and eastern North America (CENA) using an expanded version of the NGA-East database that includes new events from November 2011 (end date of NGA-East data curation) to April 2022. Following this expansion, the data set has 187 events, 2096 sites, and 16,272 three-component recordings, although the magnitude range remains limited (∼4 to 5.8). We compute residuals using 17 NGA-East GMMs and three data selection criteria that reflect within-CENA regional variations in ground-motion attributes. Mixed-effects regression of the residuals reveals a persistent pattern in which ground motions are overpredicted at short periods (0.01–0.6 s, including peak ground acceleration (PGA)) and underpredicted at longer periods. These misfits are regionally variable, with the Texas–Oklahoma–Kansas region having larger absolute misfits than other parts of CENA. Two factors potentially influencing these misfits are (1) differences in the site amplification models used to adjust the data to the reference condition during NGA-East GMM development relative to CENA amplification models applied since the 2018 National Seismic Hazard Model (NSHM), and (2) potential bias in simulation-based factors used to adjust ground motions from the hard-rock reference condition to a&nbsp;</span><i>V<sub>S30</sub></i><span> = 760 m/s condition. We provide adjustment factors and their epistemic uncertainties and discuss implications for applications.</span></p>","language":"English","publisher":"Sage Journals","doi":"10.1177/87552930241231825","usgsCitation":"Ramos-Sepulveda, M.E., Stewart, J.P., Parker, G.A., Moschetti, M.P., Thompson, E.M., Brandenberg, S.J., Hashash, Y.M., and Rathje, E., 2024, Data-driven adjustments for combined use of NGA-East hard-rock ground motion and site amplification models: Earthquake Spectra, v. 40, no. 2, p. 1132-1157, https://doi.org/10.1177/87552930241231825.","productDescription":"26 p.","startPage":"1132","endPage":"1157","ipdsId":"IP-153071","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":440108,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/87552930241231825","text":"Publisher Index 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s\":{\"name\":\"Kansas\",\"nation\":\"USA  \"}}]}","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramos-Sepulveda, Maria E.","contributorId":294748,"corporation":false,"usgs":false,"family":"Ramos-Sepulveda","given":"Maria","email":"","middleInitial":"E.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":897170,"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":897171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":897172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":897174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brandenberg, Scott J.","contributorId":303895,"corporation":false,"usgs":false,"family":"Brandenberg","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":897175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hashash, Youssef M A","contributorId":146595,"corporation":false,"usgs":false,"family":"Hashash","given":"Youssef","email":"","middleInitial":"M A","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":897176,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rathje, Ellen 0000-0002-4169-7153","orcid":"https://orcid.org/0000-0002-4169-7153","contributorId":197024,"corporation":false,"usgs":false,"family":"Rathje","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":897177,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70252201,"text":"70252201 - 2024 - Vulnerability to sea-level rise varies among estuaries and habitat types: Lessons learned from a network of surface elevation tables in Puget Sound","interactions":[],"lastModifiedDate":"2024-08-26T14:32:10.591453","indexId":"70252201","displayToPublicDate":"2024-03-17T06:41:27","publicationYear":"2024","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":"Vulnerability to sea-level rise varies among estuaries and habitat types: Lessons learned from a network of surface elevation tables in Puget Sound","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Estuarine systems that provide valuable ecosystem services to society and important foraging and rearing habitat for fish and wildlife species continue to undergo degradation. In Puget Sound, WA, as much as 70–80% of historic estuarine habitat has been lost to anthropogenic development, and continued losses are expected through the end of the twenty-first century due to rising sea levels. To evaluate whether Puget Sound’s estuarine habitats will keep pace with current and projected sea-level rise (SLR), we assessed vertical rates of elevation change from a regional network of surface elevation tables and marker horizons (SET-MH). Over the past two decades, SET-MH equipment has been installed throughout a variety of habitats in five Puget Sound estuaries: the Nisqually, Snohomish, Stillaguamish, and Skagit River estuaries, and Padilla Bay. These data provide a unique opportunity to assess elevation change and habitat resilience across a spatiotemporal and environmental gradient. We observed different rates of surface elevation change among estuaries and habitats (Nisqually = 4.64 ± 2.81&nbsp;mm/year, Snohomish = 5.71 ± 5.83&nbsp;mm/year, Stillaguamish = 12.82 ± 10.29&nbsp;mm/year, Skagit = 16.13 ± 7.57&nbsp;mm/year, Padilla =  − 1.25 ± 1.58&nbsp;mm/year). The highest rates were found at restoring sites with regular sediment input in the Stillaguamish and Skagit estuaries, whereas rates were consistently negative at low elevation sites in sediment starved Padilla Bay. Many sites in Puget Sound appear to be keeping pace with current rates of relative SLR, and some areas are on track to exceed projected rates through the end of the century. These findings indicate that Puget Sound’s estuarine habitats can be resilient to rising tidal levels—as long as sediment delivery is maintained.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01335-w","usgsCitation":"Davis, M.J., Poppe, K.L., Rybczyk, J., Grossman, E.E., Woo, I., Chamberlin, J.W., Totman, M., Zackey, T., Leonetti, F., Shull, S., and De La Cruz, S.E., 2024, Vulnerability to sea-level rise varies among estuaries and habitat types: Lessons learned from a network of surface elevation tables in Puget Sound: Estuaries and Coasts, v. 47, p. 1918-1940, https://doi.org/10.1007/s12237-024-01335-w.","productDescription":"23 p.","startPage":"1918","endPage":"1940","ipdsId":"IP-152829","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":426792,"rank":1,"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        \"coordinates\": [\n          [\n            [\n              -123.68112702634028,\n              48.68851012222271\n            ],\n            [\n              -123.68112702634028,\n              46.86516499473811\n            ],\n            [\n              -121.76950593259043,\n              46.86516499473811\n            ],\n            [\n              -121.76950593259043,\n              48.68851012222271\n            ],\n            [\n              -123.68112702634028,\n              48.68851012222271\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":896913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, Katrina L. 0000-0003-2830-4578","orcid":"https://orcid.org/0000-0003-2830-4578","contributorId":292257,"corporation":false,"usgs":false,"family":"Poppe","given":"Katrina","email":"","middleInitial":"L.","affiliations":[{"id":62851,"text":"Western Washington University, Department of Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":896914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rybczyk, John M.","contributorId":331991,"corporation":false,"usgs":false,"family":"Rybczyk","given":"John M.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":896915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":896916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woo, Isa 0000-0001-6489-0100","orcid":"https://orcid.org/0000-0001-6489-0100","contributorId":334895,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":896917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chamberlin, Joshua W.","contributorId":203910,"corporation":false,"usgs":false,"family":"Chamberlin","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":36753,"text":"National Oceanic and Atmospheric Administration - Fisheries, Northwest Fisheries Science Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":896918,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Totman, Michelle","contributorId":334896,"corporation":false,"usgs":false,"family":"Totman","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":896919,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zackey, Todd","contributorId":334898,"corporation":false,"usgs":false,"family":"Zackey","given":"Todd","email":"","affiliations":[],"preferred":false,"id":896920,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leonetti, Frank","contributorId":334899,"corporation":false,"usgs":false,"family":"Leonetti","given":"Frank","affiliations":[],"preferred":false,"id":896921,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shull, Suzanne","contributorId":334901,"corporation":false,"usgs":false,"family":"Shull","given":"Suzanne","email":"","affiliations":[],"preferred":false,"id":896922,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":896923,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70252709,"text":"70252709 - 2024 - Snow-cover remote sensing of conifer tree recovery in high-severity burn patches","interactions":[],"lastModifiedDate":"2024-04-03T12:08:46.291369","indexId":"70252709","displayToPublicDate":"2024-03-16T07:04:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Snow-cover remote sensing of conifer tree recovery in high-severity burn patches","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0050\">The number of large, high-severity wildfires has been increasing across the western United States over the last several decades. It is not fully understood how changes in the frequency of large, severe wildfires may impact the resilience of conifer forests, due to alterations in regeneration success or failure. Our research investigates 30&nbsp;years of conifer recovery patterns within 34 high-severity wildfire complexes (1988–1991) of the Northern Rocky Mountains. We evaluate the capability of snow-cover Landsat to characterize conifer tree recolonization of high-severity burn patches. Snow-cover images isolate conifer-specific vegetation signals by diminishing spectral contributions from soil and deciduous vegetation. The presence of conifer regeneration was successfully classified by snow-cover Landsat at &gt;10% canopy cover at 98% accuracy and modeled at 3-year intervals post-fire. Spectral detectability of regenerating conifer vegetation began 11–19&nbsp;years post-fire, varying across forest types. Thirty years post-fire, 65% of the total high-severity burn area had been recolonized by conifer trees, with differences observed between forest types: 72% of lodgepole pine, 77% of Douglas-fir, and 44% of fir-spruce severely burned areas containing conifer regeneration. Projected recovery timelines to pre-fire conifer vegetation also differed between lodgepole pine (29.5&nbsp;years), Douglas-fir (36.9&nbsp;years), and fir-spruce forests (48.7&nbsp;years), as estimated from snow-cover NDVI trends. Although we generally documented patterns of conifer resilience, we also identified reduced likelihoods of recovery within high-severity burn patches exhibiting greater area-to-perimeter ratios, aridity, south-facing aspects, slopes, and elevation. Snow-cover Landsat imagery was shown to improve the characterization of post-fire forest recovery and may be applied to support forest restoration decision-making following high-severity wildfire.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2024.114114","usgsCitation":"Menick, C., Tinkham, W.T., Hoffman, C., Vanderhoof, M.K., and Vogeler, J.C., 2024, Snow-cover remote sensing of conifer tree recovery in high-severity burn patches: Remote Sensing of Environment, v. 305, 114114, 14 p., https://doi.org/10.1016/j.rse.2024.114114.","productDescription":"114114, 14 p.","ipdsId":"IP-157591","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":440111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2024.114114","text":"Publisher Index Page"},{"id":427347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.79665638399268,\n              49.06753008618389\n            ],\n            [\n              -120.79665638399268,\n              42.13179667196388\n            ],\n            [\n              -106.2947032589928,\n              42.13179667196388\n            ],\n            [\n              -106.2947032589928,\n              49.06753008618389\n            ],\n            [\n              -120.79665638399268,\n              49.06753008618389\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"305","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Menick, Casey","contributorId":335294,"corporation":false,"usgs":false,"family":"Menick","given":"Casey","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":897975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tinkham, Wade T.","contributorId":175233,"corporation":false,"usgs":false,"family":"Tinkham","given":"Wade","email":"","middleInitial":"T.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":897976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoffman, Chad ","contributorId":175234,"corporation":false,"usgs":false,"family":"Hoffman","given":"Chad ","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":897977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogeler, Jody C.","contributorId":264796,"corporation":false,"usgs":false,"family":"Vogeler","given":"Jody","email":"","middleInitial":"C.","affiliations":[{"id":54555,"text":"umn","active":true,"usgs":false}],"preferred":false,"id":897979,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252607,"text":"70252607 - 2024 - Shift in piscivory by salmonids following invasion of a minnow in an oligotrophic reservoir","interactions":[],"lastModifiedDate":"2024-07-01T14:38:22.782584","indexId":"70252607","displayToPublicDate":"2024-03-16T06:35:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Shift in piscivory by salmonids following invasion of a minnow in an oligotrophic reservoir","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Predation can play an important role in structuring ecological communities, and predator–prey dynamics can be altered following the introduction of new species. An unauthorized introduction of redside shiner (<i>Richardsonius balteatus</i>) into reservoirs in the Upper Skagit River, Washington, USA created concern that a consequent shift in predator–prey dynamics in the reservoirs could reduce recruitment and production of native salmonids in the basin. We estimated predation mortality in Ross Lake on nonnative redside shiner and juvenile native salmonids to evaluate the potential role of predation in regulating these populations and limiting survival of native species of concern. We used bioenergetics modelling and stable isotope analysis combined with directed field measurements of growth, seasonal diet and thermal experience of piscivorous salmonids to quantify their consumption demand on prey fishes to evaluate the relative magnitude of predation mortality on invasive redside shiners and native salmonids. While redside shiner are the dominant prey fish species in Ross Lake, the modest biomass of native salmonids consumed could translate into substantial mortality, the magnitude of which depended on the timing and size at which prey fishes were eaten. This information provides important context for how nonnative species may indirectly impact native species through shared predation (apparent competition) and can inform conservation decisions surrounding nonnative species control, sustainability of native salmonids and introductions of anadromous fishes.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12778","usgsCitation":"Johnson, R.C., Hoy, M.S., Stenberg, K.D., Mclean, J.H., Jensen, B.L., Code, T.J., Ostberg, C.O., and Beauchamp, D., 2024, Shift in piscivory by salmonids following invasion of a minnow in an oligotrophic reservoir: Ecology of Freshwater Fish, v. 33, no. 3, e12778, 16 p., https://doi.org/10.1111/eff.12778.","productDescription":"e12778, 16 p.","ipdsId":"IP-156690","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":435020,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14FNXDV","text":"USGS data release","linkHelpText":"Upper Skagit Reservoir Food Web Data, 2005-2021"},{"id":427262,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Rachelle Carina 0000-0003-1480-4088","orcid":"https://orcid.org/0000-0003-1480-4088","contributorId":241962,"corporation":false,"usgs":true,"family":"Johnson","given":"Rachelle","email":"","middleInitial":"Carina","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoy, Marshal S. 0000-0003-2828-9697","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":220730,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stenberg, Karl D. 0000-0001-9802-2707 kstenberg@usgs.gov","orcid":"https://orcid.org/0000-0001-9802-2707","contributorId":3747,"corporation":false,"usgs":true,"family":"Stenberg","given":"Karl","email":"kstenberg@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mclean, Jonathan H 0000-0001-5940-3689","orcid":"https://orcid.org/0000-0001-5940-3689","contributorId":331688,"corporation":false,"usgs":true,"family":"Mclean","given":"Jonathan","email":"","middleInitial":"H","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, Benjamin Lorenz 0000-0003-1199-973X","orcid":"https://orcid.org/0000-0003-1199-973X","contributorId":306036,"corporation":false,"usgs":true,"family":"Jensen","given":"Benjamin","email":"","middleInitial":"Lorenz","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Code, Tessa Julianne 0000-0003-1481-020X","orcid":"https://orcid.org/0000-0003-1481-020X","contributorId":331687,"corporation":false,"usgs":true,"family":"Code","given":"Tessa","email":"","middleInitial":"Julianne","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ostberg, Carl O. 0000-0003-1479-8458","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":220731,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":897690,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251833,"text":"tm19H1 - 2024 - Electrocution (avian) case definition for wildlife","interactions":[{"subject":{"id":70251833,"text":"tm19H1 - 2024 - Electrocution (avian) case definition for wildlife","indexId":"tm19H1","publicationYear":"2024","noYear":false,"displayTitle":"Electrocution (Avian) Case Definition for Wildlife","title":"Electrocution (avian) case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":1}],"isPartOf":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"lastModifiedDate":"2024-03-16T00:42:28.247392","indexId":"tm19H1","displayToPublicDate":"2024-03-15T13:24:20","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"19-H1","displayTitle":"Electrocution (Avian) Case Definition for Wildlife","title":"Electrocution (avian) case definition for wildlife","docAbstract":"<p>Diagnostic laboratories receive carcasses and samples for diagnostic evaluation and pathogen/toxin detection. Case definitions bring clarity and consistency to the evaluation process. Their use within and between organizations allows more uniform reporting of diseases and etiologic agents.</p><p>The intent of a case definition is to provide scientifically based criteria for determining (a) if an individual carcass has a specific disease and degree of confidence in that diagnosis and (b) if there is evidence of a pathogen or toxin in a carcass or sample (for example, swab, tissue sample, skin scraping, blood/serum sample, environmental sample, or other). This case definition is specific to electrocution and applies to all avian species.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm19H1","collaboration":"Prepared in cooperation with the Canadian Wildlife Health Cooperative","usgsCitation":"Lankton, J.S., Bourque, L., Baker, B.B., and Parmley, J., 2024, Electrocution (avian) case definition for wildlife: U.S. Geological Survey Techniques and Methods, book 19, chap. 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,{"id":70252085,"text":"tm19F1 - 2024 - Ophidiomycosis (snake fungal disease) case definition for wildlife","interactions":[{"subject":{"id":70252085,"text":"tm19F1 - 2024 - Ophidiomycosis (snake fungal disease) case definition for wildlife","indexId":"tm19F1","publicationYear":"2024","noYear":false,"displayTitle":"Ophidiomycosis (Snake Fungal Disease) Case Definition for Wildlife","title":"Ophidiomycosis (snake fungal disease) case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":1}],"isPartOf":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"lastModifiedDate":"2024-03-16T00:39:36.743643","indexId":"tm19F1","displayToPublicDate":"2024-03-15T13:22:50","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"19-F1","displayTitle":"Ophidiomycosis (Snake Fungal Disease) Case Definition for Wildlife","title":"Ophidiomycosis (snake fungal disease) case definition for wildlife","docAbstract":"<p>Diagnostic laboratories receive carcasses and samples for diagnostic evaluation and pathogen/toxin detection. 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,{"id":70251867,"text":"tm19E1 - 2024 - Avian botulism case definition for wildlife","interactions":[{"subject":{"id":70251867,"text":"tm19E1 - 2024 - Avian botulism case definition for wildlife","indexId":"tm19E1","publicationYear":"2024","noYear":false,"displayTitle":"Avian Botulism Case Definition for Wildlife","title":"Avian botulism case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":1}],"isPartOf":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"lastModifiedDate":"2024-03-16T00:35:37.86861","indexId":"tm19E1","displayToPublicDate":"2024-03-15T13:21:25","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"19-E1","displayTitle":"Avian Botulism Case Definition for Wildlife","title":"Avian botulism case definition for wildlife","docAbstract":"<p>Diagnostic laboratories receive carcasses and samples for diagnostic evaluation and pathogen/toxin detection. Case definitions bring clarity and consistency to the evaluation process. Their use within and between organizations allows more uniform reporting of diseases and etiologic agents.</p><p>The intent of a case definition is to provide scientifically based criteria for determining (a) if an individual carcass has a specific disease and degree of confidence in that diagnosis and (b) if there is evidence of a pathogen or toxin in a carcass or sample (for example, swab, tissue sample, skin scraping, blood/serum sample, environmental sample, or other). This case definition is specific to avian botulism and applies to all avian species.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm19E1","collaboration":"Prepared in cooperation with the Canadian Wildlife Health Cooperative","usgsCitation":"Lankton, J.S., and Stevens, B., 2024, Avian botulism case definition for wildlife: U.S. Geological Survey Techniques and Methods, book 19, chap. E1, 8 p., https://doi.org/10.3133/tm19E1.","productDescription":"v, 6 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-140737","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":426258,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/19/e1/tm19e1.pdf","text":"Report","size":"3.8 MB","description":"TM 19–E1"},{"id":426257,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/19/e1/coverthb.jpg"},{"id":426259,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/19/e1/tm19e1.XML"},{"id":426260,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/19/e1/images/"},{"id":426261,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm19E1/full"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/nwhc\" data-mce-href=\"https://www.usgs.gov/centers/nwhc\">National Wildlife Health Center</a><br>U.S. Geological Survey<br>6006 Schroeder Road<br>Madison, WI 53711</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Introduction</li><li>Scope of the Case Definition</li><li>Case Definition Criteria</li><li>Case Classification</li><li>Quality-Assurance Review Schedule</li><li>Impact</li><li>References Cited</li><li>Glossary</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-03-15","noUsgsAuthors":false,"publicationDate":"2024-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":895859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Brian","contributorId":334528,"corporation":false,"usgs":false,"family":"Stevens","given":"Brian","email":"","affiliations":[{"id":80150,"text":"Canadian Wildlife Health Cooperative","active":true,"usgs":false}],"preferred":false,"id":895860,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70251819,"text":"tm19A1 - 2024 - [Disease/condition] case definition [template] for wildlife","interactions":[{"subject":{"id":70251819,"text":"tm19A1 - 2024 - [Disease/condition] case definition [template] for wildlife","indexId":"tm19A1","publicationYear":"2024","noYear":false,"displayTitle":"[Disease/Condition] Case Definition [Template] for Wildlife","title":"[Disease/condition] case definition [template] for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":1}],"isPartOf":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"lastModifiedDate":"2024-03-16T00:28:25.007043","indexId":"tm19A1","displayToPublicDate":"2024-03-15T13:13:05","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"19-A1","displayTitle":"[Disease/Condition] Case Definition [Template] for Wildlife","title":"[Disease/condition] case definition [template] for wildlife","docAbstract":"<p><span>Diagnostic laboratories receive carcasses and samples for diagnostic evaluation and pathogen/toxin detection. 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Jane 0000-0003-4526-9524","orcid":"https://orcid.org/0000-0003-4526-9524","contributorId":334449,"corporation":false,"usgs":false,"family":"Parmley","given":"E.","email":"","middleInitial":"Jane","affiliations":[{"id":80150,"text":"Canadian Wildlife Health Cooperative","active":true,"usgs":false}],"preferred":false,"id":895671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":895672,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckner, Jennifer 0000-0002-9121-2126 jbuckner@usgs.gov","orcid":"https://orcid.org/0000-0002-9121-2126","contributorId":58209,"corporation":false,"usgs":true,"family":"Buckner","given":"Jennifer","email":"jbuckner@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":895673,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Megan","contributorId":334451,"corporation":false,"usgs":false,"family":"Jones","given":"Megan","affiliations":[{"id":80150,"text":"Canadian Wildlife Health Cooperative","active":true,"usgs":false}],"preferred":false,"id":895674,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":895675,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmer, Marnie","contributorId":334452,"corporation":false,"usgs":false,"family":"Zimmer","given":"Marnie","email":"","affiliations":[{"id":80150,"text":"Canadian Wildlife Health Cooperative","active":true,"usgs":false}],"preferred":false,"id":895676,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lankau, Emily 0000-0002-7094-7780","orcid":"https://orcid.org/0000-0002-7094-7780","contributorId":334453,"corporation":false,"usgs":false,"family":"Lankau","given":"Emily","affiliations":[{"id":80151,"text":"Lynxnet, LLC","active":true,"usgs":false}],"preferred":false,"id":895677,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","interactions":[{"subject":{"id":70251819,"text":"tm19A1 - 2024 - [Disease/condition] case definition [template] for wildlife","indexId":"tm19A1","publicationYear":"2024","noYear":false,"displayTitle":"[Disease/Condition] Case Definition [Template] for Wildlife","title":"[Disease/condition] case definition [template] for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":1},{"subject":{"id":70251833,"text":"tm19H1 - 2024 - Electrocution (avian) case definition for wildlife","indexId":"tm19H1","publicationYear":"2024","noYear":false,"displayTitle":"Electrocution (Avian) Case Definition for Wildlife","title":"Electrocution (avian) case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":2},{"subject":{"id":70251867,"text":"tm19E1 - 2024 - Avian botulism case definition for wildlife","indexId":"tm19E1","publicationYear":"2024","noYear":false,"displayTitle":"Avian Botulism Case Definition for Wildlife","title":"Avian botulism case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":3},{"subject":{"id":70252085,"text":"tm19F1 - 2024 - Ophidiomycosis (snake fungal disease) case definition for wildlife","indexId":"tm19F1","publicationYear":"2024","noYear":false,"displayTitle":"Ophidiomycosis (Snake Fungal Disease) Case Definition for Wildlife","title":"Ophidiomycosis (snake fungal disease) case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":4},{"subject":{"id":70252903,"text":"tm19I1 - 2024 - Stony coral tissue loss disease (SCTLD) case definition for wildlife","indexId":"tm19I1","publicationYear":"2024","noYear":false,"displayTitle":"Stony Coral Tissue Loss Disease (SCTLD) Case Definition for Wildlife","title":"Stony coral tissue loss disease (SCTLD) case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":5},{"subject":{"id":70253133,"text":"tm19C1 - 2024 - West Nile virus (avian) case definition for wildlife","indexId":"tm19C1","publicationYear":"2024","noYear":false,"displayTitle":"West Nile Virus (Avian) Case Definition for Wildlife","title":"West Nile virus (avian) case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":6}],"lastModifiedDate":"2024-04-22T12:23:03.682416","indexId":"tm19","displayToPublicDate":"2024-03-15T13:09:10","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"19","displayTitle":"Case Definitions for Wildlife Diseases","title":"Case definitions for wildlife diseases","docAbstract":"<p>Welcome to the first manual of “Case Definitions for Wildlife Diseases,” a “living” electronic publication. The plan is to add and update this manual’s case definitions periodically as warranted; thus, this manual will never be completed, and readers should download the latest versions of specific chapters (that is, definitions) when available. Constructive suggestions from readers are welcome and will help guide adjustments as this project progresses.</p><p>The purpose of this manual is to provide case definitions for selected diseases of importance to wildlife in Canada and the United States. Case definitions provide standard sets of criteria for classifying the degree of certainty of a particular diagnosis and help improve surveillance data quality and comparability. Better data and standardization allow for improved data sharing, which increases geographic and species surveillance coverage and permits more robust analyses.</p><p>The definitions included in this manual have been developed by veterinary pathologists, epidemiologists, and wildlife biologists primarily from the U.S. Geological Survey National Wildlife Health Center (NWHC) and Canadian Wildlife Health Cooperative (CWHC). Pathologists from each organization reviewed and finalized the definitions. Each case definition has been peer reviewed by two scientific experts before publication.</p><p>This manual begins with the case definition template. This generic template includes four sections: “Individual, Place, and Time Criteria for Diagnosis and Testing,” “Field Criteria for Diagnosis,” “Laboratory Criteria for Diagnosis,” and “Epidemiological Linkage Criteria for Diagnosis” and can be used to guide development of new case definitions. Information in each section is then combined to provide an overall case classification. Disease diagnoses are classified as “Confirmed,” “Presumptive,” or “Suspected;” and evidence of a pathogen or toxin is classified as “Exposed” or “Present/Detected.” Each subsequent chapter is then a case definition for a specific disease of wildlife, and infectious and non-infectious diseases are included.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm19","collaboration":"Prepared in cooperation with the Canadian Wildlife Health Cooperative","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":426174,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/19/tm19.pdf","size":"0.98 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426173,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/19/coverthb2.jpg"},{"id":426538,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/19/downloads/","text":"Editable template","size":"121 kB","linkHelpText":"—[Disease/Condition] Case Definition [Template] for Wildlife"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/nwhc\" data-mce-href=\"https://www.usgs.gov/centers/nwhc\">National Wildlife Health Center</a><br>U.S. Geological Survey<br>6006 Schroeder Road<br>Madison, WI 53711</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-03-15","noUsgsAuthors":false,"publicationDate":"2024-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Kimberli J.G. 0000-0002-7947-0894","orcid":"https://orcid.org/0000-0002-7947-0894","contributorId":81447,"corporation":false,"usgs":true,"family":"Miller","given":"Kimberli","email":"","middleInitial":"J.G.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":895765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parmley, E. Jane 0000-0003-4526-9524","orcid":"https://orcid.org/0000-0003-4526-9524","contributorId":334449,"corporation":false,"usgs":false,"family":"Parmley","given":"E.","email":"","middleInitial":"Jane","affiliations":[{"id":80150,"text":"Canadian Wildlife Health Cooperative","active":true,"usgs":false}],"preferred":false,"id":895766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":895767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckner, Jennifer 0000-0002-9121-2126 jbuckner@usgs.gov","orcid":"https://orcid.org/0000-0002-9121-2126","contributorId":58209,"corporation":false,"usgs":true,"family":"Buckner","given":"Jennifer","email":"jbuckner@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":895768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Megan","contributorId":334451,"corporation":false,"usgs":false,"family":"Jones","given":"Megan","affiliations":[{"id":80150,"text":"Canadian Wildlife Health Cooperative","active":true,"usgs":false}],"preferred":false,"id":895769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":895770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmer, Marnie","contributorId":334452,"corporation":false,"usgs":false,"family":"Zimmer","given":"Marnie","email":"","affiliations":[{"id":80150,"text":"Canadian Wildlife Health Cooperative","active":true,"usgs":false}],"preferred":false,"id":895771,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251442,"text":"70251442 - 2024 - United States Geological Survey ice jam monitoring network on the Mohawk River in Schenectady, NY","interactions":[],"lastModifiedDate":"2026-03-25T15:32:23.281171","indexId":"70251442","displayToPublicDate":"2024-03-15T10:24:57","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"United States Geological Survey ice jam monitoring network on the Mohawk River in Schenectady, NY","docAbstract":"<p>The United States Geological Survey (USGS) has continuously monitored the Mohawk River between Lock 7 and Lock 9 of the New York State Barge Canal since 2011. There was a brief period, from 1914 to 1919, when a streamgage was operated at Vischer Ferry Dam (Lock 7), however, frequent damage to the gage from ice-jam related flooding in 1914 (figure 1) and 1916 resulted in establishing the Mohawk River streamgage at Cohoes, NY (USGS station ID 01357500) in 1917 and discontinuing the Vischer Ferry streamgage in 1919. The current monitoring network includes measurements of gage height (water level) and water temperature at various points within the reach, streamflow at Freeman’s Bridge, and realtime imagery from multiple pan-tilt-zoom web cameras, all of which provide situational awareness to the public, emergency managers, and other stakeholders during periods of ice-jam flooding. The USGS operates and maintains these stations in cooperation with the New York Power Authority, New York State Department of Environmental Conservation, Union College, and Brookfield Renewable Power.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2024 Mohawk Watershed Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Union College","usgsCitation":"Gazoorian, C.L., 2024, United States Geological Survey ice jam monitoring network on the Mohawk River in Schenectady, NY, <i>in</i> Proceedings of the 2024 Mohawk Watershed Symposium, v. 14, p. 27-28.","productDescription":"2 p.","startPage":"27","endPage":"28","ipdsId":"IP-162726","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":501500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501499,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://minerva.union.edu/garverj/mws/2024/symposium.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","city":"Schenectady","otherGeospatial":"Mohawk River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.92518238681888,\n              42.83580687077557\n            ],\n            [\n              -73.97515733707353,\n              42.83580687077557\n            ],\n            [\n              -73.97515733707353,\n              42.81032004405722\n            ],\n            [\n              -73.92518238681888,\n              42.81032004405722\n            ],\n            [\n              -73.92518238681888,\n              42.83580687077557\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894589,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70252191,"text":"70252191 - 2024 - Flood of October 31 to November 3, 2019, East Canada Creek, West Canada Creek, and Sacandaga River Basins","interactions":[],"lastModifiedDate":"2024-03-19T13:23:25.892201","indexId":"70252191","displayToPublicDate":"2024-03-15T08:21:38","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Flood of October 31 to November 3, 2019, East Canada Creek, West Canada Creek, and Sacandaga River Basins","docAbstract":"Between October 31 and November 3, 2019, historic flooding in parts of the Mohawk Valley and southern Adirondack region resulted in one fatality, an estimated $33 million in damages, and the declaration of a state of emergency for 13 New York counties. Flooding resulted from high-intensity rainfall within a 24-hour period between October 31 and November 1, 2019, at the end of an October that had much higher rainfall than normal. In that 24-hour period, rainfall amounts in the most heavily affected parts of the region largely ranged from about 2 to 5 inches, but a maximum rainfall amount of 7.00 inches was recorded in Speculator, NY in Hamilton County. In this location, a rainfall of 7.00 inches in a 24-hour period is estimated to have between a 200- and 500-year recurrence interval or between a 0.5- and 0.2-percent chance of happening or being exceeded in any given year.\n\nThe most severe flooding from October 31 to November 3, 2019, was mainly in the East and West Canada Creek basins, which are within the Mohawk River basin, and the Sacandaga River basin, which is within the upper Hudson River basin. Flooding resulted in new peak streamflow records at eight of nine selected U.S. Geological Survey streamgages from the region, including at three streamgages that have been in operation for about 100 years. At East Canada Creek at East Creek, NY (01348000), flooding resulted in the second highest peak streamflow in its 71-year period of record. National Weather Service major flood stages were exceeded at the three streamgages in the region where National Weather Service flood stages have been established and were exceeded at Hinckley Reservoir at Hinckley, NY (01343600). Hinckley Reservoir has a drainage area of 372 square miles and regulates West Canada Creek streamflow about 31 miles upstream of West Canada Creek at Kast Bridge (01346000) and 3 miles downstream of West Canada Creek near Wilmurt, NY (01343060). \n\nIn West Canada Creek, downstream of Hinckley Reservoir, a distinct double peak of streamflow happened during the 2019 flood and was recorded at West Canada Creek at Kast Bridge, NY (01346000). A similar, but less distinct, double peak was recorded at Mohawk River near Little Falls, NY (01347000), which is located 14.8 miles downstream of West Canada Creek at Kast Bridge, NY (01346000). The first peak of the double peak was likely caused by inflows to West Canada Creek from unregulated tributaries downstream of Hinckley Reservoir, such as Cincinnati Creek, which drains a relatively large area of 48.5 square miles in the northwest corner of the West Canada Creek watershed. Cincinnati Creek was ungaged at the time, but in response to the flood, the U.S. Geological Survey, in cooperation with the New York State Canal Corporation, installed a gage at Cincinnati Creek at Barneveld, NY (01344795) that has been in operation since November 2022. The second peak of the double peak, which happened about a day after the first peak, likely resulted from regulated streamflow that passed through Hinckley Reservoir. At the other streamgages upstream of Hinckley Reservoir, single peak streamflows were recorded during the flood. More details on the nature of the flood of October 31 to November 3, 2019, including the historic context of the flood, and the results from flood-frequency analysis of six selected streamgages in the Mohawk Valley and southern Adirondack region, are discussed in Graziano and others (2024).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2024 Mohawk Watershed Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Mohawk Watershed Symposium","conferenceDate":"March 15, 2024","conferenceLocation":"Schenectady, NY","language":"English","publisher":"Union College","collaboration":"New York State Department of Environmental Conservation","usgsCitation":"Graziano, A.P., Smith, T.L., and Lilienthal, A.G., 2024, Flood of October 31 to November 3, 2019, East Canada Creek, West Canada Creek, and Sacandaga River Basins, <i>in</i> Proceedings of the 2024 Mohawk Watershed Symposium, v. 14, Schenectady, NY, March 15, 2024, p. 35-40.","productDescription":"6 p.","startPage":"35","endPage":"40","ipdsId":"IP-162519","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":426768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":426765,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://minerva.union.edu/garverj/mws/2024/symposium.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"East Canada Creek, West Canada Creek, and Sacandaga River Basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.26955336733255,\n              43.83029414607452\n            ],\n            [\n              -75.24342943210101,\n              43.48996180099857\n            ],\n            [\n              -75.21373328157367,\n              43.29245297551128\n            ],\n            [\n              -74.29992522793536,\n              43.507816029663445\n            ],\n            [\n              -74.26955336733255,\n              43.83029414607452\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graziano, Alexander P. 0000-0003-1978-0986","orcid":"https://orcid.org/0000-0003-1978-0986","contributorId":211607,"corporation":false,"usgs":true,"family":"Graziano","given":"Alexander","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Travis L. 0000-0002-3448-2787 tlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-2787","contributorId":297400,"corporation":false,"usgs":true,"family":"Smith","given":"Travis","email":"tlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lilienthal, Arthur G. III 0000-0002-2906-6375","orcid":"https://orcid.org/0000-0002-2906-6375","contributorId":211366,"corporation":false,"usgs":true,"family":"Lilienthal","given":"Arthur","suffix":"III","email":"","middleInitial":"G.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896880,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252538,"text":"70252538 - 2024 - Yosemite toad (Anaxyrus canorus) transcriptome reveals interplay between speciation genes and adaptive introgression","interactions":[],"lastModifiedDate":"2024-04-10T16:06:54.454973","indexId":"70252538","displayToPublicDate":"2024-03-15T06:50:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Yosemite toad (<i>Anaxyrus canorus</i>) transcriptome reveals interplay between speciation genes and adaptive introgression","title":"Yosemite toad (Anaxyrus canorus) transcriptome reveals interplay between speciation genes and adaptive introgression","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Genomes are heterogeneous during the early stages of speciation, with small ‘islands’ of DNA appearing to reflect strong adaptive differences, surrounded by vast seas of relative homogeneity. As species diverge, secondary contact zones between them can act as an interface and selectively filter through advantageous alleles of hybrid origin. Such introgression is another important adaptive process, one that allows beneficial mosaics of recombinant DNA (‘rivers’) to flow from one species into another. Although genomic islands of divergence appear to be associated with reproductive isolation, and genomic rivers form by adaptive introgression, it is unknown whether islands and rivers tend to be the same or different loci. We examined three replicate secondary contact zones for the Yosemite toad (<i>Anaxyrus canorus</i>) using two genomic data sets and a morphometric data set to answer the questions: (1) How predictably different are islands and rivers, both in terms of genomic location and gene function? (2) Are the adaptive genetic trait loci underlying tadpole growth and development reliably islands, rivers or neither? We found that island and river loci have significant overlap within a contact zone, suggesting that some loci are first islands, and later are predictably converted into rivers. However, gene ontology enrichment analysis showed strong overlap in gene function unique to all island loci, suggesting predictability in overall gene pathways for islands. Genome-wide association study outliers for tadpole development included LPIN3, a lipid metabolism gene potentially involved in climate change adaptation, that is island-like for all three contact zones, but also appears to be introgressing (as a river) across one zone. Taken together, our results suggest that adaptive divergence and introgression may be more complementary forces than currently appreciated.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/mec.17317","usgsCitation":"Maier, P., Vandergast, A.G., and Bohonak, A.J., 2024, Yosemite toad (Anaxyrus canorus) transcriptome reveals interplay between speciation genes and adaptive introgression: Molecular Ecology, v. 33, no. 8, e17317, 23 p., https://doi.org/10.1111/mec.17317.","productDescription":"e17317, 23 p.","ipdsId":"IP-162748","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440116,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1111/mec.17317","text":"Publisher Index Page"},{"id":427202,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Maier, Paul A. 0000-0003-0851-8827","orcid":"https://orcid.org/0000-0003-0851-8827","contributorId":221033,"corporation":false,"usgs":false,"family":"Maier","given":"Paul A.","affiliations":[{"id":40313,"text":"Department of Biology, San Diego State","active":true,"usgs":false}],"preferred":false,"id":897445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohonak, Andrew J.","contributorId":195156,"corporation":false,"usgs":false,"family":"Bohonak","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":897447,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252160,"text":"70252160 - 2024 - Temporal variability and sources of PFAS in the Rio Grande, New Mexico through an arid urban area using multiple tracers and high-frequency sampling","interactions":[],"lastModifiedDate":"2024-03-18T11:06:05.726685","indexId":"70252160","displayToPublicDate":"2024-03-15T06:02:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17177,"text":"Emerging Contaminants","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variability and sources of PFAS in the Rio Grande, New Mexico through an arid urban area using multiple tracers and high-frequency sampling","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Per- and polyfluoroalkyl substances (PFAS) are ubiquitous in the environment but sources are not well defined for temporal and spatial aspects within an urban environment, and especially for an arid urban environment subject to seasonal short term high-intensity precipitation events. A focused diel sampling was conducted in the summer of 2021 to assess the temporal and spatial variability of PFAS in the Rio Grande near Albuquerque, New Mexico and showed an order of magnitude increase of PFAS as it flows through the Albuquerque urban area. Discrete samples were collected at two different locations on the Rio Grande in addition to wastewater treatment plant (WWTP) effluent that discharges directly to the Rio Grande between the sampling locations. Short-term high-intensity precipitation events occurred during the study period and mobilized PFAS from urban runoff. Dissolved organic matter composed of tryptophan-like organic substances and refined fuel and fuel byproducts, characteristic of an urban signature, were also related to the precipitation events. The PFAS in discharge from the WWTP was consistent over a 24-h period with slight differences in some compounds. Wastewater presence on the Rio Grande downstream of the WWTP was evidenced by a gadolinium anomaly as well as increases in several other trace elements, total dissolved nitrogen, and fluorescence indicators, in addition to PFAS. PFAS varied depending on source contribution, where urban runoff was associated with PFOA, PFOS, and PFBA, whereas PFHxA and PFPeA were associated with wastewater effluent. In addition, passive polar organic chemical integrative samplers (POCIS) using hydrophilic-lipid balance (HLB) sorption media were deployed for a month at two locations on the Rio Grande to assess longer term PFAS concentrations. The POCIS results show some compounds (PFPeA and PFHpA) were greater than the average concentration from discrete samples, whereas other compounds (PFHxA, PFOA, PFDA, and PFNA) were lower in the POCIS, and PFOS was very similar between the two. The POCIS did not detect PFBA, which may be related to the HLB media not performing well for short chain PFAS compounds. The results show promise for integrative samplers utilizing sorbent media. More detailed investigation of the spatial and temporal variability of water chemistry on the Rio Grande as it flows through Albuquerque could provide information applicable to urban areas worldwide.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.emcon.2024.100314","usgsCitation":"Beisner, K.R., Travis, R., Alvarez, D.A., Barber, L., Fleck, J., and Jasmann, J., 2024, Temporal variability and sources of PFAS in the Rio Grande, New Mexico through an arid urban area using multiple tracers and high-frequency sampling: Emerging Contaminants, v. 10, no. 3, 100314, 16 p., https://doi.org/10.1016/j.emcon.2024.100314.","productDescription":"100314, 16 p.","ipdsId":"IP-151001","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":440118,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.emcon.2024.100314","text":"Publisher Index Page"},{"id":426732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.34695314428241,\n              34.446180773037895\n            ],\n            [\n              -105.94026539950947,\n              34.446180773037895\n            ],\n            [\n              -105.94026539950947,\n              35.806945482487166\n            ],\n            [\n              -107.34695314428241,\n              35.806945482487166\n            ],\n            [\n              -107.34695314428241,\n              34.446180773037895\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Travis, Rebecca E. 0000-0001-8601-7791 rtravis@usgs.gov","orcid":"https://orcid.org/0000-0001-8601-7791","contributorId":5562,"corporation":false,"usgs":true,"family":"Travis","given":"Rebecca E.","email":"rtravis@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":896783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":896784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleck, Jacob 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":168694,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jasmann, Jeramy Roland 0000-0002-5251-6987","orcid":"https://orcid.org/0000-0002-5251-6987","contributorId":220849,"corporation":false,"usgs":true,"family":"Jasmann","given":"Jeramy Roland","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":896786,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252114,"text":"70252114 - 2024 - Implications for the resilience of modern coastal systems derived from mesoscale barrier dynamics at Fire Island, New York","interactions":[],"lastModifiedDate":"2024-03-15T00:42:10.115606","indexId":"70252114","displayToPublicDate":"2024-03-14T19:39:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7942,"text":"Earth Surface Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Implications for the resilience of modern coastal systems derived from mesoscale barrier dynamics at Fire Island, New York","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e110\">Understanding the response of coastal barriers to future changes in rates of sea level rise, sediment availability, and storm intensity/frequency is essential for coastal planning, including socioeconomic and ecological management. Identifying drivers of past changes in barrier morphology, as well as barrier sensitivity to these forces, is necessary to accomplish this. Using remote sensing, field, and laboratory analyses, we reconstruct the mesoscale (decades–centuries) evolution of central Fire Island, a portion of a 50 km barrier island fronting Long Island, New York, USA. We find that the configuration of the modern beach and foredune at Fire Island is radically different from the system's relict morphostratigraphy. Central Fire Island is comprised of at least three formerly inlet-divided rotational barriers with distinct subaerial beach and dune–ridge systems that were active prior to the mid-19th century. Varying morphologic states reflected in the relict barriers (e.g., progradational and transgressive) contrast with the modern barrier, which is dominated by a tall and nearly continuous foredune and is relatively static, except for erosion and drowning of its fringing marsh. We suggest that this state shift indicates a transition from a regime dominated by inlet-mediated gradients in alongshore sediment availability to one where human impacts exerted greater influence on island evolution from the late 19th&nbsp;century onward. The retention of some geomorphic capital in Fire Island's relict subaerial features combined with its static nature renders the barrier increasingly susceptible to narrowing and passive submergence. This may lead to an abrupt geomorphic state shift in the future, a veiled vulnerability that may also exist in other stabilized barriers.</p></div></div><div id=\"citation-footer\" class=\"sec\"><br></div>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/esurf-12-449-2024","usgsCitation":"Ciarletta, D.J., Miselis, J.L., Bernier, J., and Forde, A.S., 2024, Implications for the resilience of modern coastal systems derived from mesoscale barrier dynamics at Fire Island, New York: Earth Surface Dynamics, v. 12, no. 2, p. 449-475, https://doi.org/10.5194/esurf-12-449-2024.","productDescription":"27 p.","startPage":"449","endPage":"475","ipdsId":"IP-151314","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/esurf-12-449-2024","text":"Publisher Index Page"},{"id":426653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.44237635204956,\n              40.7810792807841\n            ],\n            [\n              -73.44237635204956,\n              40.58414949191291\n            ],\n            [\n              -72.77035455716405,\n              40.58414949191291\n            ],\n            [\n              -72.77035455716405,\n              40.7810792807841\n            ],\n            [\n              -73.44237635204956,\n              40.7810792807841\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Ciarletta, Daniel J. 0000-0002-8555-2239","orcid":"https://orcid.org/0000-0002-8555-2239","contributorId":256700,"corporation":false,"usgs":true,"family":"Ciarletta","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":896663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":896664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":896665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":896666,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255261,"text":"70255261 - 2024 - Time of year and weather influence departure decisions of sandhill cranes at a primary stopover","interactions":[],"lastModifiedDate":"2025-06-24T18:29:33.517308","indexId":"70255261","displayToPublicDate":"2024-03-14T18:50:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Time of year and weather influence departure decisions of sandhill cranes at a primary stopover","docAbstract":"<div class=\"JournalAbstract\"><p>The Rocky Mountain Population (RMP) of greater sandhill cranes uses a key stopover area, the San Luis Valley (SLV) in Colorado. Parameters of migration phenology can differ between autumn and spring and are affected by weather and environmental factors. We hypothesized that sandhill cranes in the SLV would have a longer stopover duration in autumn than in spring, and that wind assistance, crosswinds, temperature change, barometric air pressure, and surface water area would influence persistence probability. We used data from sandhill cranes fitted with transmitters that spanned autumn and spring, 2015-2022. We used an open robust design mark-recapture model to estimate stopover duration, arrival probability, and persistence probability. We examined the effects of weather and surface water on the persistence probability for 106 sandhill cranes in the SLV. Stopover duration was longer in autumn than in spring and had higher variability across years. Arrival probability to the SLV peaked on 13 October in autumn and 21 February in spring. Persistence probability declined around mid-December in autumn and mid-March in spring. We found that several weather covariates influenced persistence in both seasons. In autumn, sandhill cranes departed the SLV with higher tailwinds, lower crosswinds, and higher surface water availability. In spring, sandhill cranes departed the SLV with lower crosswinds and higher barometric air pressure at the surface and higher wind speeds at altitudes of about 3,000 m. The effect of wind speed was stronger later in the spring. Given the lower variability of arrival and persistence probability and shorter stopover duration in spring compared to autumn, we suspect that RMP sandhill cranes are using a time-minimization strategy during spring. However, given the use of supportive winds and weather conditions ideal for soaring, RMP sandhill cranes appear to be using strategies that save energy in both seasons. Our study identifies the optimal timing of water management and surveys for RMP sandhill cranes and confirms that weather influences their persistence. Understanding differences in migration patterns between seasons and the factors that influence persistence at stopover sites will also be important for anticipating phenological impacts from climate change and land use alterations.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2024.1279279","usgsCitation":"Vanausdall, R., Kendall, W.L., Collins, D., and Hays, Q.R., 2024, Time of year and weather influence departure decisions of sandhill cranes at a primary stopover: Frontiers in Ecology and Evolution, v. 12, 1279279, 18 p., https://doi.org/10.3389/fevo.2024.1279279.","productDescription":"1279279, 18 p.","ipdsId":"IP-156769","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430171,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":440122,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2024.1279279","text":"Publisher Index Page"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanausdall, Rachel A.","contributorId":339258,"corporation":false,"usgs":false,"family":"Vanausdall","given":"Rachel A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Daniel P.","contributorId":351177,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hays, Quentin R.","contributorId":339260,"corporation":false,"usgs":false,"family":"Hays","given":"Quentin","email":"","middleInitial":"R.","affiliations":[{"id":81259,"text":"GeoSystems Analysis, Inc","active":true,"usgs":false}],"preferred":false,"id":903892,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252070,"text":"ofr20231068 - 2024 - Annotated bibliography of scientific research relevant to oil and gas reclamation best management practices in the western United States, published from 1969 through 2020","interactions":[],"lastModifiedDate":"2024-08-06T17:19:38.644972","indexId":"ofr20231068","displayToPublicDate":"2024-03-14T11:29:08","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1068","displayTitle":"Annotated Bibliography of Scientific Research Relevant to Oil and Gas Reclamation Best Management Practices in the Western United States, Published from 1969 through 2020","title":"Annotated bibliography of scientific research relevant to oil and gas reclamation best management practices in the western United States, published from 1969 through 2020","docAbstract":"<p class=\"grid\">Integrating recent scientific knowledge into management decisions supports effective natural resource management and can lead to better resource outcomes. However, finding and accessing scientific knowledge can be time consuming and costly. To assist in this process, the U.S. Geological Survey has created a series of annotated bibliographies on topics of management concern for lands in the western United States (U.S.). Oil and gas development on public lands is a long-standing and substantial component of local and regional economies and has expanded in recent decades, particularly on public lands in the western U.S. This development is associated with extensive networks of pipelines, roads, and processing facilities, across which reclamation is Federally mandated following initial well pad development (“interim” reclamation) and once resource extraction is complete (“final” reclamation). Reclamation is critical for recovering ecological services to energy-affected lands, including vegetation productivity, wildlife habitat, water and air quality, and soil stability (for example, resistance to wind and water erosion). However, reclamation of oil and gas affected lands in the western U.S. has proved challenging due to an array of regulatory and environmental factors, such as minimally developed soils, short growing seasons, herbivory, high winds, invasive species, rugged terrain, and in particular, arid climates associated with low total precipitation, high evapotranspiration rates, and highly variable precipitation patterns. We compiled and summarized journal articles, government reports, technical reports, proceedings, and theses and dissertations relevant to oil and gas reclamation. We constrained our search to products published on or before December 31, 2020 but did not limit our search by a starting date; the earliest product resulting from this effort was published in March 1969. Second, we manually scanned the last 15 years (2005-2020) of tables of contents in journals, bibliographies, and proceedings of which we were aware would contain articles highly relevant to this bibliography. We carried out the search for these products through multiple means: (1) performing a structured search of two reference databases, (2) examining articles published since 2005 in highly relevant scientific journals and conference proceedings, and (3) reviewing additional material suggested by authors of products identified in steps 1 and 2. Our search was intentionally broad in order to identify as much relevant work as possible, much of which is professionally applied and tested within the industry of oil and gas reclamation, but which remains unpublished in scientific journals. We refined the initial list of products by removing: (1) duplicates, (2) products not written in English, (3) products that were not relevant to the arid ecosystems of western North America, (4) products that were not released as research, data products, or review articles in journals or as formal scientific reports, and (5) products with data which were not relevant to reclamation of oil and gas-affected lands, or for which the study did not present new data, findings, or syntheses relevant to reclamation of oil and gas-affected lands.</p><p class=\"grid\">We summarized each product using a consistent structure (background, objectives, methods, location, findings, and implications) and assigned standardized management topics to each. Management topics are intended to aid online searching within the bibliography and are described in more detail in the Methods Section of this report; they include what type of disturbance the product addresses (well pads, mining, pipelines), what aspect of oil and gas reclamation they pertain to (practices, standards, monitoring), what type of data are present in the product (for instance soil or vegetation recovery data), and an indication if the product were from a source other than a published, peer-reviewed outlet (such as dissertations or unpublished professional reports – these are identified as grey literature). The review process for this annotated bibliography included an initial internal colleague review of each summary, requesting input on each summary from an author of the original product, and a formal peer-review. Our initial searches resulted in 3,197 total products, of which 290 met our criteria for inclusion. “Reclamation Practices” is by far the management topic most addressed, followed by “Reclamation Monitoring,” for example, products assessing what and how monitoring methods are used to track and measure reclamation outcome. This document may be accessed at<span>&nbsp;</span><a id=\"ofr20231068-w80ab1b3c17b5b1\" class=\"usa-link\" href=\"https://doi.org/10.3133/ofr20231068\" target=\"xrefwindow\" data-mce-href=\"https://doi.org/10.3133/ofr20231068\">https://doi.org/10.3133/ofr20231068</a><span>&nbsp;</span>or from the U.S. Geological Survey Publication Warehouse (<a id=\"ofr20231068-w80ab1b3c17b5b3\" class=\"usa-link\" href=\"https://pubs.usgs.gov/\" target=\"xrefwindow\" data-mce-href=\"../\">https://pubs.usgs.gov/</a>). The 1-page product summaries herein will also be used to create a bibliography at<span>&nbsp;</span><a id=\"ofr20231068-w80ab1b3c17b5b5\" class=\"usa-link\" href=\"https://apps.usgs.gov/science-for-resource-managers\" target=\"xrefwindow\" data-mce-href=\"https://apps.usgs.gov/science-for-resource-managers\">https://apps.usgs.gov/science-for-resource-managers</a><span>&nbsp;</span>that includes links to each original product, where available, and in which subject matter will be searchable by topic, location, and year. The studies compiled and summarized here may inform planning and management actions that seek to reclaim landscapes across the western U.S. which have been affected by oil and gas development.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231068","usgsCitation":"Mann, R.K., McCormick, M.L., Munson, S.M., Cooper, H.F., Bryant, L.C., Swenson, J.K., Johnston, L.A., Wilson, S.L., and Duniway, M.C., 2024, Annotated bibliography of scientific research relevant to oil and gas reclamation best management practices in the western United States, published from 1969 through 2020: U.S. Geological Survey Open-File Report 2023–1068, 210 p., https://doi.org/10.3133/ofr20231068.","productDescription":"viii, 210 p.","ipdsId":"IP-133481","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":426562,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1068/images"},{"id":426561,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1068/ofr20231068.xml"},{"id":426560,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1068/ofr20231068.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426559,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1068/covrthb.jpg"},{"id":426563,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231068/full"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Acknowledgments</li><li>References Cited</li><li>Annotated Bibliography</li><li>Appendix 1. Species Names</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-03-14","noUsgsAuthors":false,"publicationDate":"2024-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Mann, Rebecca K.","contributorId":62692,"corporation":false,"usgs":true,"family":"Mann","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":896494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Molly L. 0000-0002-4361-7567 mmccormick@usgs.gov","orcid":"https://orcid.org/0000-0002-4361-7567","contributorId":196257,"corporation":false,"usgs":true,"family":"McCormick","given":"Molly","email":"mmccormick@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":896495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":896496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Hillary F.","contributorId":334784,"corporation":false,"usgs":false,"family":"Cooper","given":"Hillary","email":"","middleInitial":"F.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":true,"id":896497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bryant, Lee C.","contributorId":62045,"corporation":false,"usgs":false,"family":"Bryant","given":"Lee","email":"","middleInitial":"C.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":true,"id":896498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swenson, Jared K.","contributorId":334785,"corporation":false,"usgs":false,"family":"Swenson","given":"Jared","email":"","middleInitial":"K.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":true,"id":896499,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnston, Laura A. 0000-0003-0875-3755","orcid":"https://orcid.org/0000-0003-0875-3755","contributorId":334786,"corporation":false,"usgs":true,"family":"Johnston","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":true,"id":896500,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Savannah L. 0000-0003-4229-4089","orcid":"https://orcid.org/0000-0003-4229-4089","contributorId":334787,"corporation":false,"usgs":true,"family":"Wilson","given":"Savannah","email":"","middleInitial":"L.","affiliations":[],"preferred":true,"id":896501,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":896502,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70252761,"text":"70252761 - 2024 - Climatic variability as a principal driver of primary production in the southernmost subalpine Rocky Mountain lake","interactions":[],"lastModifiedDate":"2024-04-04T15:41:55.328449","indexId":"70252761","displayToPublicDate":"2024-03-14T10:32:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Climatic variability as a principal driver of primary production in the southernmost subalpine Rocky Mountain lake","docAbstract":"<p><span>Mountain lakes are sensitive indicators of anthropogenically driven global change, with lake sediment records documenting increased primary production during the twentieth century. Atmospheric nutrient deposition and warming have been attributed to changes in other Western mountain lakes, however, the intensity of these drivers varies. We analyzed a sediment core representing a 270-year record from Santa Fe Lake, New Mexico, to constrain the southern margin of Rocky Mountain lakes and quantify patterns of change in lake biogeochemistry, production, and diatoms since 1750. Lake sediments were dated using&nbsp;</span><sup>210</sup><span>Pb and analyzed for carbon (C), nitrogen (N), stable isotopes (δ</span><sup>13</sup><span>C, δ</span><sup>15</sup><span>N), diatoms, and phototrophic pigments. The abundance of cyanobacteria, purple sulfur-reducing bacteria, and diatom pigments were elevated during the stable conditions of the Little Ice Age; these phototrophic groups declined in the late 1800s and reached a minimum by 1950. From 1950 to 2020, sediments recorded an increased abundance of cryptophyte, diatom, and chlorophyte groups. The C and N (percentage dry mass) increased after 1950, whereas δ</span><sup>15</sup><span>N and δ</span><sup>13</sup><span>C values declined. Changes since the mid-twentieth century are contemporaneous with warming trends in the Southwest and modest deposition of atmospheric N. Our findings highlight the geographic variability of mountain lake responses to changing environmental conditions.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2024.2303810","usgsCitation":"Shampain, A., Baron, J., Leavitt, P.R., and Spaulding, S., 2024, Climatic variability as a principal driver of primary production in the southernmost subalpine Rocky Mountain lake: Arctic, Antarctic, and Alpine Research, v. 56, no. 1, 2303810, 18 p., https://doi.org/10.1080/15230430.2024.2303810.","productDescription":"2303810, 18 p.","ipdsId":"IP-153651","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":440125,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2024.2303810","text":"Publisher Index Page"},{"id":427400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Santa Fe Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.74147810102569,\n              35.85975006476575\n            ],\n            [\n              -106.27,\n              35.85975006476575\n            ],\n            [\n              -106.27,\n              35.66069461088024\n            ],\n            [\n              -105.74147810102569,\n              35.66069461088024\n            ],\n            [\n              -105.74147810102569,\n              35.85975006476575\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Shampain, Anna 0000-0001-5447-7638","orcid":"https://orcid.org/0000-0001-5447-7638","contributorId":331317,"corporation":false,"usgs":false,"family":"Shampain","given":"Anna","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":898146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leavitt, Peter R.","contributorId":335357,"corporation":false,"usgs":false,"family":"Leavitt","given":"Peter","email":"","middleInitial":"R.","affiliations":[{"id":27547,"text":"University of Regina","active":true,"usgs":false}],"preferred":false,"id":898148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spaulding, Sarah A. 0000-0002-9787-7743","orcid":"https://orcid.org/0000-0002-9787-7743","contributorId":223186,"corporation":false,"usgs":true,"family":"Spaulding","given":"Sarah","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":898149,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252088,"text":"fs20243002 - 2024 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment","interactions":[{"subject":{"id":70045012,"text":"fs20123136 - 2013 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment","indexId":"fs20123136","publicationYear":"2013","noYear":false,"title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment"},"predicate":"SUPERSEDED_BY","object":{"id":70252088,"text":"fs20243002 - 2024 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment","indexId":"fs20243002","publicationYear":"2024","noYear":false,"title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment"},"id":1}],"lastModifiedDate":"2026-01-27T17:50:06.656731","indexId":"fs20243002","displayToPublicDate":"2024-03-14T10:10:37","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3002","displayTitle":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment","title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment","docAbstract":"<p>The GAMA-PBP is a comprehensive assessment of statewide groundwater quality in California. The first phase of the GAMA-PBP in 2004–15 assessed groundwater resources used for public drinking-water supplies. The second phase is assessing groundwater resources used for domestic drinking-water supplies. An estimated 2 million Californians rely on individual domestic wells or State small-system wells for drinking water, and far less information is available about these resources than about public-supply resources. The U.S. Geological Survey (USGS) began sampling wells for this second phase in 2012. Domestic wells typically are drilled to shallower depths in the groundwater system than public-supply wells. 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 \"}}]}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-03-14","noUsgsAuthors":false,"publicationDate":"2024-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tejeda, Elias 0009-0000-9208-398X","orcid":"https://orcid.org/0009-0000-9208-398X","contributorId":334814,"corporation":false,"usgs":true,"family":"Tejeda","given":"Elias","email":"","affiliations":[],"preferred":false,"id":896592,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70252676,"text":"70252676 - 2024 - Modeled flooding by tsunamis and a storm versus observed extent of coral erratics on Anegada, British Virgin Islands— Further evidence for a great Caribbean earthquake six centuries ago","interactions":[],"lastModifiedDate":"2024-04-02T14:36:15.942014","indexId":"70252676","displayToPublicDate":"2024-03-14T09:29:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Modeled flooding by tsunamis and a storm versus observed extent of coral erratics on Anegada, British Virgin Islands— Further evidence for a great Caribbean earthquake six centuries ago","docAbstract":"<p><span>Models of near-field tsunamis and an extreme hurricane provide further evidence for a great precolonial earthquake along the Puerto Rico Trench. The models are benchmarked to brain-coral boulders and cobbles on Anegada, 125&nbsp;km south of the trench. The models are screened by their success in flooding the mapped sites of these erratics, which were emplaced some six centuries ago. Among 25 tsunami scenarios, 19 have megathrust sources and the rest posit normal faulting on the outer rise. The modeled storm, the most extreme of 15 hurricanes of category 5, produces tsunami-like bores from surf beat. In the tsunami scenarios, simulated flow depth is 1&nbsp;m or more at all the clast sites, and 2&nbsp;m or more at nearly all, given either a megathrust rupture 255&nbsp;km long with 7.5&nbsp;m of dip slip and M8.45, or an outer-rise rupture 130&nbsp;km long with 11.4&nbsp;m of dip slip and M8.17. By contrast, many coral clasts lie beyond the reach of simulated flooding from the extreme hurricane. The tsunami screening may underestimate earthquake size by neglecting trees and shrubs that likely impeded both the simulated flows and the observed clasts; and it may overestimate earthquake size by leaving coastal sand barriers intact. The screening results broadly agree with those from previously published tsunami simulations. In either successful scenario, the average recurrence interval spans thousands of years, and flooding on the nearest Caribbean shores begins within a half-hour.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB028387","usgsCitation":"Wei, Y., ten Brink, U.S., and Atwater, B.F., 2024, Modeled flooding by tsunamis and a storm versus observed extent of coral erratics on Anegada, British Virgin Islands— Further evidence for a great Caribbean earthquake six centuries ago: JGR Solid Earth, v. 129, no. 3, e2023JB028387, 26 p., https://doi.org/10.1029/2023JB028387.","productDescription":"e2023JB028387, 26 p.","ipdsId":"IP-160030","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440127,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jb028387","text":"Publisher Index Page"},{"id":427312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"British Virgin Islands","otherGeospatial":"Anegada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -64.26970963209003,\n              18.687395079258394\n            ],\n            [\n              -64.27098250709774,\n              18.70548066405327\n            ],\n            [\n              -64.31107821074197,\n              18.74887709066421\n            ],\n            [\n              -64.34353638253225,\n              18.7524941354379\n            ],\n            [\n              -64.41895422673412,\n              18.747371507694695\n            ],\n            [\n              -64.41927244548606,\n              18.73561900967063\n            ],\n            [\n              -64.39986110161998,\n              18.719646355609257\n            ],\n            [\n              -64.35181007008187,\n              18.715426911972713\n            ],\n            [\n              -64.3206243759603,\n              18.713016020229745\n            ],\n            [\n              -64.30407748159904,\n              18.70156264195039\n            ],\n            [\n              -64.280847288407,\n              18.685284968543982\n            ],\n            [\n              -64.26970963209003,\n              18.687395079258394\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"129","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Wei, Yong","contributorId":242870,"corporation":false,"usgs":false,"family":"Wei","given":"Yong","affiliations":[{"id":48562,"text":"JISAO, University of Washington, WA 98105 USA","active":true,"usgs":false}],"preferred":false,"id":897881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwater, Brian F. 0000-0003-1155-2815","orcid":"https://orcid.org/0000-0003-1155-2815","contributorId":335255,"corporation":false,"usgs":false,"family":"Atwater","given":"Brian","email":"","middleInitial":"F.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":897883,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70255250,"text":"70255250 - 2024 - Incorporating life history diversity in an integrated population model to inform viability analysis","interactions":[],"lastModifiedDate":"2024-06-13T14:29:03.449351","indexId":"70255250","displayToPublicDate":"2024-03-14T09:22:46","publicationYear":"2024","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 life history diversity in an integrated population model to inform viability analysis","docAbstract":"<p><span>Life history diversity can significantly affect population dynamics and effects of management actions. For instance, variation in individual responses to environmental variability can reduce extirpation risk to populations, as the portfolio effect dampens temporal variability in abundance. Moreover, differences in habitat use may cause individuals to respond differently to habitat management and climate variability. To explore the role of life history diversity in population trajectories, population models need to incorporate within-population variation. Integrated population modeling (IPM) is a population modeling approach that offers several advantages for sharing information and propagating uncertainty across datasets. In this study, we developed an IPM for an endangered population of Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) in the Wenatchee River, Washington, USA, that accounts for diversity in juvenile life histories, spawning location, and return age. Our analysis revealed that diversity in the age of juvenile emigration from natal streams had a portfolio effect, resulting in a 20% reduction in year-to-year variability in adult abundance in population projections. Our population viability analysis suggests that management interventions may be necessary to meet recovery goals, and our model should be useful for simulating the outcomes of proposed actions.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0118","usgsCitation":"Sorel, M.H., Jorgensen, J.C., Zabel, R.W., Scheuerell, M.D., Murdoch, A.R., Kamphaus, C.M., and Converse, S.J., 2024, Incorporating life history diversity in an integrated population model to inform viability analysis: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 5, p. 535-548, https://doi.org/10.1139/cjfas-2023-0118.","productDescription":"14 p.","startPage":"535","endPage":"548","ipdsId":"IP-153564","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":440129,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1139/cjfas-2023-0118","text":"External Repository"},{"id":430133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.65380079789186,\n              48.385800374959246\n            ],\n            [\n              -122.85878973700216,\n              48.35952757767319\n            ],\n            [\n              -122.85878973700216,\n              45.39007143816454\n            ],\n            [\n              -118.65380079789189,\n              45.42475769972472\n            ],\n            [\n              -118.65380079789186,\n              48.385800374959246\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"81","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sorel, Mark H.","contributorId":171739,"corporation":false,"usgs":false,"family":"Sorel","given":"Mark","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":903859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgensen, Jeffrey C.","contributorId":339208,"corporation":false,"usgs":false,"family":"Jorgensen","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":903860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zabel, Richard W.","contributorId":272049,"corporation":false,"usgs":false,"family":"Zabel","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":903861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scheuerell, Mark David 0000-0002-8284-1254","orcid":"https://orcid.org/0000-0002-8284-1254","contributorId":288621,"corporation":false,"usgs":true,"family":"Scheuerell","given":"Mark","email":"","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murdoch, Andrew R.","contributorId":339213,"corporation":false,"usgs":false,"family":"Murdoch","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":903863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kamphaus, Cory M.","contributorId":339215,"corporation":false,"usgs":false,"family":"Kamphaus","given":"Cory","email":"","middleInitial":"M.","affiliations":[{"id":39287,"text":"Yakama Nation Fisheries","active":true,"usgs":false}],"preferred":false,"id":903864,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":903865,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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