{"pageNumber":"626","pageRowStart":"15625","pageSize":"25","recordCount":184882,"records":[{"id":70211248,"text":"70211248 - 2020 - Developmental ecomorphology of the epibranchial organ of the silver carp, Hypophthalmichthys molitrix","interactions":[],"lastModifiedDate":"2020-08-27T15:02:29.044257","indexId":"70211248","displayToPublicDate":"2020-05-23T13:29:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Developmental ecomorphology of the epibranchial organ of the silver carp, <i>Hypophthalmichthys molitrix</i>","title":"Developmental ecomorphology of the epibranchial organ of the silver carp, Hypophthalmichthys molitrix","docAbstract":"<p><span>Silver carp regularly consume and digest particles of food as small as 5 μm. This ability drives their efficient consumption of phytoplankton and because they feed low on the food chain they have an important place in aquaculture worldwide. In North America, where they are considered invasive, silver carp deplete food resources for native species and in so doing occupy increased niche space. Here, we determine the ontogenetic stage and size at which silver carp are morphologically capable of primarily feeding on particles &lt;10 μm. Ecological studies on this species have shown that there is an ontogenetic shift in diet as predominantly zooplanktivorous juveniles later switch to eating much smaller phytoplankton. The occupation of this new trophic niche presents both a metabolic and a mechanical challenge to these fish, since it is unclear how they can efficiently feed on such small particles. We hypothesize that the epibranchial organ (EBO) in silver carp is essential in aggregating these small particles of food, allowing the species to consume mass quantities of tiny particles, thus mitigating metabolic constraints. In this study, we investigate early ontogeny of the EBO in silver carp to determine when this structure achieves the requisite morphology to become functional. We find that at around 80 mm standard length (SL) the EBOs are consistently filled with food, demonstrating that this accumulating organ has become functional. This size corresponds with previous ecological data documenting important shifts in the type of food consumed. While the basic bauplan of the EBO is established very early in ontogeny (by 15 mm SL), multiple waves of histological maturation of muscle, cartilage, gill rakers and epithelium ultimately form the functional structure.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.14409","usgsCitation":"Cohen, K.E., George, A.E., Chapman, D., Chick, J.H., and Hernandez, L.P., 2020, Developmental ecomorphology of the epibranchial organ of the silver carp, Hypophthalmichthys molitrix: Journal of Fish Biology, v. 97, no. 2, p. 527-536, https://doi.org/10.1111/jfb.14409.","productDescription":"10 p.","startPage":"527","endPage":"536","ipdsId":"IP-106612","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":376570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Cohen, Karly E.","contributorId":229507,"corporation":false,"usgs":false,"family":"Cohen","given":"Karly","email":"","middleInitial":"E.","affiliations":[{"id":34680,"text":"George Washington University","active":true,"usgs":false}],"preferred":false,"id":793402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":793403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":793404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chick, John H.","contributorId":229508,"corporation":false,"usgs":false,"family":"Chick","given":"John","email":"","middleInitial":"H.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":793405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hernandez, L. Patricia","contributorId":229509,"corporation":false,"usgs":false,"family":"Hernandez","given":"L.","email":"","middleInitial":"Patricia","affiliations":[{"id":34680,"text":"George Washington University","active":true,"usgs":false}],"preferred":false,"id":793406,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228493,"text":"70228493 - 2020 - Estimation of metademographic rates and landscape connectivity for a conservation-reliant anuran","interactions":[],"lastModifiedDate":"2022-02-11T17:12:15.833486","indexId":"70228493","displayToPublicDate":"2020-05-23T11:05:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of metademographic rates and landscape connectivity for a conservation-reliant anuran","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Context</h3><p>Amphibian conservation efforts commonly assume populations are tied to waterbodies that collectively function as a metapopulation. This assumption is rarely evaluated, and there is a need to understand the degree of connectivity among patches to appropriately define, manage, and conserve biological populations.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Objectives</h3><p>Our objectives were to quantify local persistence, colonization, and recruitment (metademographic rates) in relation to habitat attributes, evaluate the influence of the spatial arrangement of patches on landscape-scale population dynamics, and estimate the scale at which metapopulation dynamics are occurring for Oregon spotted frog (<i>Rana pretiosa</i>).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We collected<span>&nbsp;</span><i>R. pretiosa</i><span>&nbsp;</span>detection/non-detection data and habitat information from 93 sites spread throughout the species’ extant range in Oregon, USA, 2010–2018. We developed a spatial multistate dynamic occupancy model to analyze these data.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>The proportion of sites occupied by<span>&nbsp;</span><i>R. pretiosa</i><span>&nbsp;</span>was relatively stable despite regular turnover in site occupancy. Connectivity was greatest when the distance between sites was within 4.49–7.70&nbsp;km, and the results suggested that populations within 1&nbsp;km are at the appropriate spatial scale for effective population management.<span>&nbsp;</span><i>Rana pretiosa</i><span>&nbsp;</span>metademographic rates were strongly tied to water availability, vegetation characteristics, and beaver dams.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Our analysis provides critical information to identify the appropriate spatial scale for effective population management, estimates the distance at which populations are connected, and quantifies the effects of hypothesized threats to species at a landscape scale. We believe this model will prove to be useful to inform conservation and management strategies for multiple species.</p>","language":"English","publisherLocation":"Springer","doi":"10.1007/s10980-020-01030-8","usgsCitation":"Duarte, A., Peterson, J., Pearl, C., Rowe, J.C., McCreary, B., Galvan, S., and Adams, M.J., 2020, Estimation of metademographic rates and landscape connectivity for a conservation-reliant anuran: Landscape Ecology, v. 35, p. 1459-1479, https://doi.org/10.1007/s10980-020-01030-8.","productDescription":"21 p.","startPage":"1459","endPage":"1479","ipdsId":"IP-117029","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":436955,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94LYW62","text":"USGS data release","linkHelpText":"Oregon spotted frog (Rana pretiosa) monitoring data for metademographic analysis 2010-2018, Oregon"},{"id":395853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":834443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowe, Jennifer Christine 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":275968,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@usgs.gov","middleInitial":"Christine","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCreary, Brome 0000-0002-0313-7796 brome_mccreary@usgs.gov","orcid":"https://orcid.org/0000-0002-0313-7796","contributorId":3130,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","email":"brome_mccreary@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":834445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galvan, Stephanie 0000-0002-9864-3674 stephanie_galvan@usgs.gov","orcid":"https://orcid.org/0000-0002-9864-3674","contributorId":3135,"corporation":false,"usgs":true,"family":"Galvan","given":"Stephanie","email":"stephanie_galvan@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":834446,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":834447,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70213306,"text":"70213306 - 2020 - Looking where it’s hard to see: A case study documenting rare Eucyclogobius newberryi presence in a California lagoon","interactions":[],"lastModifiedDate":"2020-09-17T16:37:23.473931","indexId":"70213306","displayToPublicDate":"2020-05-22T11:33:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Looking where it’s hard to see: A case study documenting rare <i>Eucyclogobius newberryi</i> presence in a California lagoon","title":"Looking where it’s hard to see: A case study documenting rare Eucyclogobius newberryi presence in a California lagoon","docAbstract":"<p><span>Environmental DNA (eDNA) analysis is increasingly used for biomonitoring and research of fish populations and communities by environmental resource managers and academic researchers. Although managers are much interested in expanding the use of eDNA as a survey technique, they are sceptical about both its utility (given that information is often limited to presence/absence of a species) and feasibility (given the need for proper laboratory facilities for sample processing). Nonetheless, under the right circumstances, eDNA analysis is cost‐effective compared to many traditional aquatic survey methods and does not disturb habitat or harm the animals being surveyed. This article presents a case study in which eDNA analysis was successfully used to document the presence of a rare fish species in a waterway earmarked for restoration. The authors discuss the conditions that allowed this study to occur quickly and smoothly and speculate on how the goals of researchers and managers can be integrated for efficient and informative use of this tool.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.14401","usgsCitation":"Dressler, T.L., Lafferty, K.D., Jerde, C.L., and Dudley, T.L., 2020, Looking where it’s hard to see: A case study documenting rare Eucyclogobius newberryi presence in a California lagoon: Journal of Fish Biology, v. 97, no. 2, p. 572-576, https://doi.org/10.1111/jfb.14401.","productDescription":"5 p.","startPage":"572","endPage":"576","ipdsId":"IP-118821","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":378515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Barbara","otherGeospatial":"Andree Clark Bird Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.66501712799071,\n              34.4179205416084\n            ],\n            [\n              -119.65694904327393,\n              34.4179205416084\n            ],\n            [\n              -119.65694904327393,\n              34.42323073969078\n            ],\n            [\n              -119.66501712799071,\n              34.42323073969078\n            ],\n            [\n              -119.66501712799071,\n              34.4179205416084\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"97","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Dressler, Terra L","contributorId":240830,"corporation":false,"usgs":false,"family":"Dressler","given":"Terra","email":"","middleInitial":"L","affiliations":[{"id":48145,"text":"Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":798994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":798995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jerde, Christopher L. 0000-0002-8074-3466","orcid":"https://orcid.org/0000-0002-8074-3466","contributorId":210301,"corporation":false,"usgs":false,"family":"Jerde","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":798996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudley, Tom L.","contributorId":177792,"corporation":false,"usgs":false,"family":"Dudley","given":"Tom","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":798997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210598,"text":"70210598 - 2020 - Peak ground velocity spatial variability revealed by dense seismic array in southern California","interactions":[],"lastModifiedDate":"2023-03-27T17:21:20.315709","indexId":"70210598","displayToPublicDate":"2020-05-22T11:19:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Peak ground velocity spatial variability revealed by dense seismic array in southern California","docAbstract":"<p><span>Understanding and modeling variability of ground motion is essential for building accurate and precise ground motion prediction equations, which can net site‐specific characterization and reduced hazard levels. Here, we explore the spatial variability in peak ground velocity (PGV) at Sage Brush Flats along the San Jacinto Fault in southern California. We use data from a dense array (0.6 x 0.6 km</span><sup>2</sup><span>, 1,108 geophones, station spacings 10‐30 m) deployed in 2014 for ~1‐month. These data offer an opportunity to study small scale variability in this region. We examine 38 2≤M</span><sub>L</sub><span>≤4.2 earthquakes within 200 km of the array. Fault strands and a small basin impact the ground motions, producing PGV variations up to 22% of the mean and a 40% reduction in&nbsp;</span><i>P<span>&nbsp;</span></i><span>and&nbsp;</span><i>S<span>&nbsp;</span></i><span>wave near‐surface velocities. We find along‐fault rupture directivity, source, and path effects can increase PGVs by 167%. Surface PGV measurements exceed the co‐located borehole station (depth 148 m) PGV by factors of 3‐10, confirming the impact on PGV from near surface fault structures, basins, topography, and amplifications from soft sediments. Consistently we find high PGVs within the basin structure. A pair of ~co‐located M</span><sub>L</sub><span>2.6 events produce repeatable PGV values with similar spatial patterns. The average corner frequencies of these two events are 11‐16 Hz and viable measurements of stress drop can differ by 6.45MPa. Within this small array, the PGV values are variable implying spatial extrapolation of PGV to regions of known faults and basins, even across a small area, should be done with caution.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB019157","usgsCitation":"Johnson, C.E., Kilb, D., Baltay Sundstrom, A.S., and Vernon, F., 2020, Peak ground velocity spatial variability revealed by dense seismic array in southern California: Journal of Geophysical Research B: Solid Earth, v. 125, no. 6, e2019JB019157, 17 p., https://doi.org/10.1029/2019JB019157.","productDescription":"e2019JB019157, 17 p.","ipdsId":"IP-114215","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":456667,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb019157","text":"Publisher Index Page"},{"id":375522,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sage Brush Flats, San Jacinto Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.95838928222656,\n              33.56199537293026\n            ],\n            [\n              -116.76681518554689,\n              33.56199537293026\n            ],\n            [\n              -116.76681518554689,\n              33.701492795584365\n            ],\n            [\n              -116.95838928222656,\n              33.701492795584365\n            ],\n            [\n              -116.95838928222656,\n              33.56199537293026\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Christopher E","contributorId":178221,"corporation":false,"usgs":false,"family":"Johnson","given":"Christopher","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":790749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kilb, Debi","contributorId":206552,"corporation":false,"usgs":false,"family":"Kilb","given":"Debi","affiliations":[{"id":37339,"text":"Scripps/UCSD","active":true,"usgs":false}],"preferred":false,"id":790750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":790751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vernon, Frank","contributorId":217839,"corporation":false,"usgs":false,"family":"Vernon","given":"Frank","affiliations":[{"id":27208,"text":"UC San Diego","active":true,"usgs":false}],"preferred":false,"id":790752,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228422,"text":"70228422 - 2020 - Reservoir fish habitats: A perspective on coping with climate change","interactions":[],"lastModifiedDate":"2022-02-10T15:50:32.226256","indexId":"70228422","displayToPublicDate":"2020-05-22T09:48:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5040,"text":"Reviews in Fisheries Science & Aquaculture","onlineIssn":"2330-8257","printIssn":"2330-8249","active":true,"publicationSubtype":{"id":10}},"title":"Reservoir fish habitats: A perspective on coping with climate change","docAbstract":"<p><span>Climate change is the defining environmental problem for our generation. The effects of climate change are increasingly evident and are anticipated to profoundly affect our ability to conserve fish habitats and fish assemblages. Reservoirs are important structures for coping with projected shifts in water supply, but they also provide refuge for riverine fishes and retain distinct fish assemblages that support diverse fisheries. The effects of climate change on reservoirs are unique among aquatic systems because reservoirs have distinctive habitat characteristics due to their terrestrial origin and strong linkage to catchments. This article reviews (1) the projected effects of rising temperature and shifting precipitation on reservoir fish habitats, and (2) adaptation strategies to cope with the anticipated effects. Climate warming impacts to reservoirs may include higher water temperatures and shifts in hydrology that can result in reduced water levels in summer and fall, altered water residence cycles, disconnection from upstream riverine habitats and backwaters, increased stratification, eutrophication, anoxia, and a general shift in biotic assemblages including plants, invertebrates, and fishes. What is needed to adapt to these changes is a perspective that focuses on maintaining ecosystem functionality rather than on retaining a certain species composition. To that end, various strategies organized into planning, monitoring, and managing compartments are identified.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23308249.2020.1767035","usgsCitation":"Miranda, L.E., Coppola, G., and Boxrucker, J., 2020, Reservoir fish habitats: A perspective on coping with climate change: Reviews in Fisheries Science & Aquaculture, v. 20, no. 4, p. 478-498, https://doi.org/10.1080/23308249.2020.1767035.","productDescription":"21 p.","startPage":"478","endPage":"498","ipdsId":"IP-115752","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":456668,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/23308249.2020.1767035","text":"Publisher Index Page"},{"id":395773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coppola, G.","contributorId":265335,"corporation":false,"usgs":false,"family":"Coppola","given":"G.","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boxrucker, J.","contributorId":275763,"corporation":false,"usgs":false,"family":"Boxrucker","given":"J.","affiliations":[{"id":56890,"text":"Reservoir Fisheries Habitat Partnership","active":true,"usgs":false}],"preferred":false,"id":834268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211236,"text":"70211236 - 2020 - Freshwater neurotoxins and concerns for human, animal, and ecosystemhealth: A review of anatoxin-a and saxitoxin","interactions":[],"lastModifiedDate":"2020-07-21T15:05:27.283582","indexId":"70211236","displayToPublicDate":"2020-05-21T15:09:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater neurotoxins and concerns for human, animal, and ecosystemhealth: A review of anatoxin-a and saxitoxin","docAbstract":"Toxic cyanobacteria are a concern worldwide because they can adversely affect humans, animals, and ecosystems. However, neurotoxins produced by freshwater cyanobacteria are understudied relative to microcystin. Thus, the objective of this critical review was to provide a comprehensive examination of the modes of action, production, fate, and occurrence of the freshwater neurotoxins anatoxin-a and saxitoxin as they relate to human, animal, and ecosystem health. Literature on freshwater anatoxin-a and saxitoxin was obtained and reviewed for both laboratory and field studies. Current (2020) research identifies as many as 41 anatoxin-a producing species and 15 saxitoxin-producing species of freshwater cyanobacteria. Field studies indicate that anatoxin-a and saxitoxin have widespread distribution, and examples are given from every continent except Antarctica. Human and animal health concerns can range from acute to chronic. However, few researchers studied chronic or sublethal effects of freshwater exposures to anatoxin-a or saxitoxin. Ecosystemhealth also is a concern, as the effects of toxicity may be far reaching and include consequences throughout the food web. Several\ngaps in knowledgewere identified for anatoxin-a and saxitoxin, including triggers of production and release, environmental fate and degradation, primary and secondary exposure routes, diel variation, food web effects, effects of cyanotoxin mixtures, and sublethal health effects on individual organisms and populations. Despite the gaps, this critical review facilitates our current understanding of freshwater neurotoxins and thus can serve to guide future research on anatoxin-a, saxitoxin, and other cyanotoxins.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.139515","usgsCitation":"Christensen, V., and Khan, E., 2020, Freshwater neurotoxins and concerns for human, animal, and ecosystemhealth: A review of anatoxin-a and saxitoxin: Science of the Total Environment, v. 736, p. 1-17, https://doi.org/10.1016/j.scitotenv.2020.139515.","productDescription":"139515, 18 p.","startPage":"1","endPage":"17","ipdsId":"IP-116963","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":376525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"736","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khan, Eakalak","contributorId":220550,"corporation":false,"usgs":false,"family":"Khan","given":"Eakalak","email":"","affiliations":[{"id":40182,"text":"University of Nevada Las Vegas","active":true,"usgs":false}],"preferred":false,"id":793349,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211523,"text":"70211523 - 2020 - Freshwater crabs (Decapoda: Pseudothelphusidae) increase rates of leaf breakdown in a neotropical headwater stream","interactions":[],"lastModifiedDate":"2020-09-23T15:52:53.319925","indexId":"70211523","displayToPublicDate":"2020-05-21T12:07:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater crabs (Decapoda: Pseudothelphusidae) increase rates of leaf breakdown in a neotropical headwater stream","docAbstract":"<ol class=\"\"><li>Freshwater crabs are the largest macroconsumers in many neotropical headwater streams, but few studies have examined their roles in ecosystem processes such as leaf litter breakdown. As omnivorous macroconsumers, freshwater crabs affect multiple trophic levels. They may directly increase leaf breakdown through fragmentation and consumption or indirectly decrease breakdown by consuming other macroinvertebrates, including shredders and detritivores.</li><li>In a headwater stream in Monteverde, Costa Rica, we conducted an in‐stream experiment with 40 enclosures to quantify the effects of pseudothelphusid crabs on both leaf breakdown and macroinvertebrate colonisation of leaves. Half of the enclosures were randomly selected to contain two crabs (mean carapace width&nbsp;=&nbsp;30&nbsp;mm) and half were controls without crabs. We sampled mixed leaf packs from the enclosures on days 11, 19, 28, 34, and 42. We found the leaves of one species (<i>Koanophyllon pittieri<span>&nbsp;</span></i>) almost completely decomposed by day 28 in both treatments (crab versus no crab). The other two leaf species (<i>Meliosma idiopoda<span>&nbsp;</span></i>,<i><span>&nbsp;</span>Quercus brenesii<span>&nbsp;</span></i>) composed the remaining leaf mass at the end of the experiment.</li><li>At 42&nbsp;days, enclosures with crabs had faster rates of leaf breakdown than those without crabs (with crabs:<span>&nbsp;</span><i>k<span>&nbsp;</span></i>&nbsp;=&nbsp;−0.020; without crabs: k = −0.016;<span>&nbsp;</span><i>p<span>&nbsp;</span></i>&nbsp;=&nbsp;0.034). This suggests that the magnitude of direct leaf breakdown by crabs, due to fragmentation, consumption, or manipulation of leaves, was greater than any indirect effects on leaf breakdown via crab consumption of other leaf‐consuming species.</li><li>Macroinvertebrate composition based on taxa abundances or biomasses did not significantly differ between treatments (ANOSIM;<span>&nbsp;</span><i>p<span>&nbsp;</span></i>&nbsp;=&nbsp;0.73 and<span>&nbsp;</span><i>p<span>&nbsp;</span></i>&nbsp;=&nbsp;0.65, respectively). Shredder and detritivore abundances and biomasses increased significantly through time (ANOVA;<span>&nbsp;</span><i>p<span>&nbsp;</span></i>&nbsp;≤&nbsp;0.001), but there was no evidence of an effect of crab presence (<i>p<span>&nbsp;</span></i>&nbsp;&gt;&nbsp;0.2), nor were there significant interactions between crab presence and time (<i>p<span>&nbsp;</span></i>&nbsp;&gt;&nbsp;0.3).</li><li>This is one of the first studies to quantify the effects of pseudothelphusid freshwater crabs on leaf breakdown rates. Our results suggest that these crabs can play a significant role in detrital processing in neotropical headwater streams. This study has also demonstrated that short‐term enclosure experiments are useful in measuring in‐stream effects of crab activity on leaf breakdown.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13524","usgsCitation":"Yang, C., Wenger, S., Rugenski, A., Wehrtmann, I.S., Connelly, S., and Freeman, M., 2020, Freshwater crabs (Decapoda: Pseudothelphusidae) increase rates of leaf breakdown in a neotropical headwater stream: Freshwater Biology, v. 65, no. 10, p. 1673-1684, https://doi.org/10.1111/fwb.13524.","productDescription":"12 p.","startPage":"1673","endPage":"1684","ipdsId":"IP-113256","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":376917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","otherGeospatial":"Quebrada Máquina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.56632995605469,\n              9.971555711492252\n            ],\n            [\n              -84.92088317871094,\n              9.971555711492252\n            ],\n            [\n              -84.92088317871094,\n              10.28924740652188\n            ],\n            [\n              -85.56632995605469,\n              10.28924740652188\n            ],\n            [\n              -85.56632995605469,\n              9.971555711492252\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"65","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Yang, Carol","contributorId":236858,"corporation":false,"usgs":false,"family":"Yang","given":"Carol","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":794495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":794496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rugenski, Amanda","contributorId":236859,"corporation":false,"usgs":false,"family":"Rugenski","given":"Amanda","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":794497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wehrtmann, Ingo S.","contributorId":236860,"corporation":false,"usgs":false,"family":"Wehrtmann","given":"Ingo","email":"","middleInitial":"S.","affiliations":[{"id":47554,"text":"Universidad de Costa Rica","active":true,"usgs":false}],"preferred":false,"id":794498,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connelly, Scott","contributorId":236861,"corporation":false,"usgs":false,"family":"Connelly","given":"Scott","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":794499,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":794500,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211858,"text":"70211858 - 2020 - Linking subsurface to surface using gas emission and melt inclusion data at Mount Cleveland volcano, Alaska","interactions":[],"lastModifiedDate":"2020-08-10T16:35:54.421875","indexId":"70211858","displayToPublicDate":"2020-05-21T11:12:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Linking subsurface to surface using gas emission and melt inclusion data at Mount Cleveland volcano, Alaska","docAbstract":"<p><span>Mount Cleveland is one of Alaska's most active volcanoes, yet little is known about the magmatic system driving persistent and dynamic volcanic activity. Volcanic gas and melt inclusion (MI) data from 2016 were combined to investigate shallow magmatic processes. SO</span><sub>2</sub><span>&nbsp;emission rates were between 166 and 324&nbsp;t/day and the H</span><sub>2</sub><span>O/SO</span><sub>2</sub><span>&nbsp;was 600&nbsp;±&nbsp;53, whereas CO</span><sub>2</sub><span>&nbsp;and H</span><sub>2</sub><span>S were below detection. Olivine‐, clinopyroxene‐, and plagioclase‐hosted MIs have up to 3.8&nbsp;wt.% H</span><sub>2</sub><span>O, 514&nbsp;ppm CO</span><sub>2</sub><span>, and 2,320&nbsp;ppm&nbsp;S. Equilibration depths, based on MI H</span><sub>2</sub><span>O contents, suggest that a magmatic column extended from 0.5 to 3.0&nbsp;km (~10–60&nbsp;MPa). We used MI data to empirically model open‐system H‐C‐S degassing from 0 to 12&nbsp;km and found that a column of magma between 0.5 and 3&nbsp;km could produce the measured gas H</span><sub>2</sub><span>O/SO</span><sub>2</sub><span>&nbsp;ratio. However, additional magma deeper than 3&nbsp;km is required to sustain emissions over periods greater than days to weeks, if the observed vent dimension is a valid proxy for the conduit. Assuming an initial S content of 2,320&nbsp;ppm, the total magma supply needed to sustain the annual SO</span><sub>2</sub><span>&nbsp;flux was 5 to 9.8&nbsp;Mm</span><sup>3</sup><span>/yr, suggesting a maximum intrusive‐to‐extrusive ratio of 13:1. The model predicts degassing of &lt;50&nbsp;t/day CO</span><sub>2</sub><span>&nbsp;for July 2016, which corresponds to a maximum predicted CO</span><sub>2</sub><span>/SO</span><sub>2</sub><span>&nbsp;of 0.2. Ultimately, frequent recharge from deeper, less degassed magma is required to drive the continuous activity observed over multiple years. During periods of recharge we would expect lower H</span><sub>2</sub><span>O/SO</span><sub>2</sub><span>&nbsp;and measurable volcanic CO</span><sub>2</sub><span>.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1029/2019GC008882","usgsCitation":"Werner, C., Rasmussen, D.J., Plank, T., Kelly, P.J., Kern, C., Lopez, T., Gliss, J., Power, J., Roman, D., Izbekov, P., and Lyons, J.J., 2020, Linking subsurface to surface using gas emission and melt inclusion data at Mount Cleveland volcano, Alaska: Geochemistry, Geophysics, Geosystems, v. 21, no. 7, e2019GC008882, 33 p., https://doi.org/10.1029/2019GC008882.","productDescription":"e2019GC008882, 33 p.","ipdsId":"IP-114946","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456669,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doaj.org/article/0330702a2b9b4b9bb85171b1a5ab3440","text":"Publisher Index Page"},{"id":436956,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DRMV0U","text":"USGS data release","linkHelpText":"Volcanic Gas Measurements at Mount Cleveland, Alaska 2016"},{"id":377282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Cleveland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -170.0082778930664,\n              52.78802219709245\n            ],\n            [\n              -169.87781524658203,\n              52.78802219709245\n            ],\n            [\n              -169.87781524658203,\n              52.856486091099804\n            ],\n            [\n              -170.0082778930664,\n              52.856486091099804\n            ],\n            [\n              -170.0082778930664,\n              52.78802219709245\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Werner, Cynthia 0000-0003-3311-6694","orcid":"https://orcid.org/0000-0003-3311-6694","contributorId":11444,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","affiliations":[],"preferred":false,"id":795422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Daniel J.","contributorId":237828,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":47619,"text":"Lamont-Doherty Earth Observatory, Columbia University, New York, NY 10027","active":true,"usgs":false}],"preferred":false,"id":795423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plank, Terry","contributorId":237829,"corporation":false,"usgs":false,"family":"Plank","given":"Terry","affiliations":[{"id":47619,"text":"Lamont-Doherty Earth Observatory, Columbia University, New York, NY 10027","active":true,"usgs":false}],"preferred":false,"id":795424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":795425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":795426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez, Taryn","contributorId":237830,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":795427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gliss, Jonas","contributorId":237831,"corporation":false,"usgs":false,"family":"Gliss","given":"Jonas","email":"","affiliations":[{"id":34486,"text":"Norwegian Meteorological Institute, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":795428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":795429,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roman, Diana","contributorId":237832,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","affiliations":[{"id":47620,"text":"Dept. of Terrestrial Magnetism, Carnegie Institution for Science, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":795430,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Izbekov, Pavel","contributorId":237833,"corporation":false,"usgs":false,"family":"Izbekov","given":"Pavel","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":795431,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":795432,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70210263,"text":"70210263 - 2020 - Managing invasive plants on Great Plains grasslands: A discussion of current challenges","interactions":[],"lastModifiedDate":"2021-10-04T16:43:45.849787","indexId":"70210263","displayToPublicDate":"2020-05-21T08:54:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Managing invasive plants on Great Plains grasslands: A discussion of current challenges","docAbstract":"<p><span>The Great Plains of North America encompass approximately 1,300,000 km</span><sup>2</sup><span>&nbsp;of land from Texas to Saskatchewan. The integrity of these lands is under continual assault by long-established and newly-arrived invasive plant species, which can threaten native species and diminish land values and ecological goods and services by degrading desired grassland resources. The Great Plains are a mixture of privately and publicly owned lands, which leads to a patchwork of varying management goals and strategies for controlling invasive plants. Continually updated knowledge is required for efficient and effective management of threats posed by changing environments and invasive plants. Here we discuss current challenges, contemporary management strategies, and management tools and their integration, in hopes of presenting a knowledge resource for new and experienced land managers and others involved in making decisions regarding invasive plant management in the Great Plains.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2020.04.003","usgsCitation":"Gaskin, J., Espeland, E., Johnson, C.D., Larson, D.L., Mangold, J.M., McGee, R.A., Milner, C., Paudel, S., Pearson, D.E., Perkins, L., Prosser, C.W., Runyon, J.B., Sing, S.E., Sylvain, Z.A., Symstad, A., and Tekiela, D.R., 2020, Managing invasive plants on Great Plains grasslands: A discussion of current challenges: Rangeland Ecology and Management, v. 78, p. 235-249, https://doi.org/10.1016/j.rama.2020.04.003.","productDescription":"15 p.","startPage":"235","endPage":"249","ipdsId":"IP-108715","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research 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,{"id":70210148,"text":"ofr20201046 - 2020 - Sediments and the sea floor of the continental shelves and coastal waters of the United States—About the usSEABED integrated sea-floor-characterization database, built with the dbSEABED processing system","interactions":[],"lastModifiedDate":"2020-05-21T14:51:44.052171","indexId":"ofr20201046","displayToPublicDate":"2020-05-21T08:35:00","publicationYear":"2020","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":"2020-1046","displayTitle":"Sediments and the Sea Floor of the Continental Shelves and Coastal Waters of the United States—About the usSEABED Integrated Sea-Floor-Characterization Database, Built With the dbSEABED Processing System","title":"Sediments and the sea floor of the continental shelves and coastal waters of the United States—About the usSEABED integrated sea-floor-characterization database, built with the dbSEABED processing system","docAbstract":"<p>Since the second half of the 20th century, there has been an increase in scientific interest, research effort, and information gathered on the geologic sedimentary character of the continental margins of the United States. Data and information from thousands of sources have increased our scientific understanding of the character of the margin surface, but rarely have those data been combined and integrated. Initially, the U.S. Geological Survey (USGS), in cooperation with the Institute of Arctic and Alpine Research at the University of Colorado Boulder, created the usSEABED database to provide surficial sea-floor-characterization data for USGS assessments of marine-based aggregates and for studies of sea-floor habitat. Since then, the USGS has continued to build up the database as a nationwide resource for many uses and applications.</p><p>Previously published data derived from the usSEABED database have been released as three USGS data series publications containing data covering the U.S. Atlantic margin, the Gulf of Mexico and Caribbean regions, and the Pacific coast. An updated USGS data release unifies the three publications, incorporates additional data and sources including data from Alaska, Hawaii, and U.S. overseas territories, and provides revised output files that fix known errors and add known or inferred sampling dates. This report accompanies the data release and contains information on the methodology and products of the usSEABED database.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201046","collaboration":"Prepared in cooperation with the Institute of Arctic and Alpine Research at the University of Colorado Boulder","usgsCitation":"Buczkowski, B.J., Reid, J.A., and Jenkins, C.J., 2020, Sediments and the sea floor of the continental shelves and coastal waters of the United States—About the usSEABED integrated sea-floor-characterization database, built with the dbSEABED processing system: U.S. Geological Survey Open-File Report 2020–1046, 14 p., https://doi.org/10.3133/ofr20201046.","productDescription":"Report: vi, 14 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-107146","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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data-mce-href=\"https://www.usgs.gov/centers/whcmsc\">Woods Hole Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>384 Woods Hole Road<br>Quissett Campus<br>Woods Hole, MA 02543–1598</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>The Data in usSEABED</li><li>Accessing the usSEABED Database</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-05-21","noUsgsAuthors":false,"publicationDate":"2020-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Buczkowski, Brian J. 0000-0003-2801-6904 bbuczkowski@usgs.gov","orcid":"https://orcid.org/0000-0003-2801-6904","contributorId":152124,"corporation":false,"usgs":true,"family":"Buczkowski","given":"Brian","email":"bbuczkowski@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":789311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Jane A. 0000-0003-1771-3894 jareid@usgs.gov","orcid":"https://orcid.org/0000-0003-1771-3894","contributorId":2826,"corporation":false,"usgs":true,"family":"Reid","given":"Jane","email":"jareid@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":789312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Chris J.","contributorId":14066,"corporation":false,"usgs":false,"family":"Jenkins","given":"Chris","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":789313,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70259114,"text":"70259114 - 2020 - Sand dunes, modern and ancient, on southern Colorado Plateau tribal lands, southwestern USA","interactions":[],"lastModifiedDate":"2024-09-27T12:15:27.3575","indexId":"70259114","displayToPublicDate":"2020-05-21T07:14:24","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sand dunes, modern and ancient, on southern Colorado Plateau tribal lands, southwestern USA","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>A mantle of both active and stable aeolian sand covers approximately 34,000 km<sup>2</sup><span>&nbsp;</span>of northern Arizona, western New Mexico and southern Utah on the southern Colorado Plateau. From west to east, these deposits can be subdivided into the Kaibab-Moenkopi dunes, Chinle Valley dunes, and Chaco dunes, all of which include relict, partly stable and mobile aeolian sand. Locally, these deposits have distinct compositional characteristics. An examination of previous studies into disparate aspects of Colorado Plateau dunes, taken in the context of local geology, Quaternary landscape history and geomorphic processes, provides new insights into interpretation of this regional aeolian sedimentary record. Additional new data about the characteristics of the deposits, and an assessment of present-day climatic conditions enhances our ability to interpret the relative influences of ecosystem and geomorphologic processes with climate variability that continue to influence both new dune formation and reactivation of older deposits. Taken as a whole, the data emphasizes the role that local landscape conditions and history play in providing the context for correctly interpreting aeolian activity and depositional environments, and whether sediment supply or climate play a dominant role in sand dune formation. This is particularly true in the Little Colorado River Valley of northeastern Arizona, where Quaternary volcanic activity has significantly influenced the local landscape processes, deposit characteristics, and dune paleohistory.</p></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Inland Dunes of North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Nature","doi":"10.1007/978-3-030-40498-7_8","usgsCitation":"Hiza, M., 2020, Sand dunes, modern and ancient, on southern Colorado Plateau tribal lands, southwestern USA, chap. <i>of</i> Inland Dunes of North America, p. 287-310, https://doi.org/10.1007/978-3-030-40498-7_8.","productDescription":"24 p.","startPage":"287","endPage":"310","ipdsId":"IP-090246","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":462328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hiza, Margaret 0000-0003-2851-2502 mhiza@usgs.gov","orcid":"https://orcid.org/0000-0003-2851-2502","contributorId":198449,"corporation":false,"usgs":true,"family":"Hiza","given":"Margaret","email":"mhiza@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":914228,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70210302,"text":"70210302 - 2020 - Mercury in fish from streams and rivers in New York State: Spatial patterns, temporal changes, and environmental drivers","interactions":[],"lastModifiedDate":"2020-11-13T15:40:15.672145","indexId":"70210302","displayToPublicDate":"2020-05-21T06:49:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury in fish from streams and rivers in New York State: Spatial patterns, temporal changes, and environmental drivers","docAbstract":"Mercury (Hg) concentrations in freshwater fish across the state of New York frequently exceed guidelines considered harmful to humans and wildlife, but statewide distribution and temporal changes are not well known for the state’s streams and rivers. We analyzed existing data to describe recent spatial patterns, identify key environmental drivers, and assess temporal changes. Size classes within sportfishes and prey fishes formed ‘functional taxa’ (FT), and standardized scores were generated from 2007-2016 data for 218 sites. Muscle Hg in >1 sportfish FT exceeded human-health guidelines of 50 ng/g (sensitive populations) and 300 ng/g (general population, GP) at 93% and 56% of sites, respectively, but exceeded 1000 ng/g (a state threshold) at only 10% of sites. Whole-body Hg in >1 prey fish FT exceeded wildlife thresholds of 40 ng/g and 100 ng/g at 91% and 51% of sites, respectively. Environmental drivers of recent spatial patterns include extent of forest cover and storage, the latter an indicator of wetlands. Standardized Hg scores increased with increasing atmospheric Hg deposition and storage across rural ‘upland’ regions of New York. However, scores were not related to atmospheric deposition in more-developed ‘lowland’ regions due to the limited methylation potential of urban landscapes. Comparisons of 2010-2015 sportfish Hg concentrations with those of 1998 and 2000-2005 showed inconsistent temporal changes both among and within eight sites examined. Some recent stream and river fish Hg spatial patterns differed from those of lake-based studies, highlighting the importance of New York’s flowing waters to future Hg monitoring and risk assessment.","language":"English","publisher":"Springer","doi":"10.1007/s10646-020-02225-0","usgsCitation":"Riva-Murray, K., Richter, W., Razavi, N.R., Burns, D., Cleckner, L.B., Burton, M., George, S.D., and Freehafer, D.A., 2020, Mercury in fish from streams and rivers in New York State: Spatial patterns, temporal changes, and environmental drivers: Ecotoxicology, v. 29, p. 1686-1708, https://doi.org/10.1007/s10646-020-02225-0.","productDescription":"23 p.","startPage":"1686","endPage":"1708","ipdsId":"IP-110644","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":436957,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U2QY7G","text":"USGS data release","linkHelpText":"Fish mercury concentration data and ancillary data for streams and rivers across New York States (United States), 1969-2016, including environmental characteristics of selected locations sampled during 2007-16"},{"id":375182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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Roxanna 0000-0003-4077-496X","orcid":"https://orcid.org/0000-0003-4077-496X","contributorId":224997,"corporation":false,"usgs":false,"family":"Razavi","given":"N.","email":"","middleInitial":"Roxanna","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":789978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":789979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cleckner, Lisa B 0000-0002-8138-4303","orcid":"https://orcid.org/0000-0002-8138-4303","contributorId":224998,"corporation":false,"usgs":false,"family":"Cleckner","given":"Lisa","email":"","middleInitial":"B","affiliations":[{"id":41017,"text":"Finger Lakes Institute, Hobart and William Smith Colleges","active":true,"usgs":false}],"preferred":false,"id":789980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burton, Mark","contributorId":224999,"corporation":false,"usgs":false,"family":"Burton","given":"Mark","email":"","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":789981,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":789982,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Freehafer, Douglas A. 0000-0003-1209-0317 dfreehaf@usgs.gov","orcid":"https://orcid.org/0000-0003-1209-0317","contributorId":150638,"corporation":false,"usgs":true,"family":"Freehafer","given":"Douglas","email":"dfreehaf@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":789983,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70211965,"text":"70211965 - 2020 - Short- and long-term responses of riparian cottonwoods (Populus spp.) to flow diversion: Analysis of tree-ring radial growth and stable carbon isotopes","interactions":[],"lastModifiedDate":"2020-08-12T21:02:36.901702","indexId":"70211965","displayToPublicDate":"2020-05-20T15:57:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Short- and long-term responses of riparian cottonwoods (<i>Populus</i> spp.) to flow diversion: Analysis of tree-ring radial growth and stable carbon isotopes","title":"Short- and long-term responses of riparian cottonwoods (Populus spp.) to flow diversion: Analysis of tree-ring radial growth and stable carbon isotopes","docAbstract":"<p><span>Long duration tree-ring records with annual precision allow for the reconstruction of past growing conditions. Investigations limited to the most common tree-ring proxy of ring width can be difficult to interpret, however, because radial growth is affected by multiple environmental processes. Furthermore, studies of living trees may miss important effects of drought on tree survival and forest changes. Stable carbon isotopes can help distinguish drought from other environmental factors that influence tree-ring width and forest stand condition. We quantified tree-ring radial expansion and stable carbon isotope ratios (δ</span><sup>13</sup><span>C) in riparian cottonwoods (</span><i>Populus angustifolia</i><span>&nbsp;and&nbsp;</span><i>P. angustifolia</i><span>&nbsp;x&nbsp;</span><i>P.</i><span>&nbsp;</span><i>trichocarpa)</i><span>&nbsp;along Snake Creek in Nevada, USA. We investigated how hydrological drought affected tree growth and death at annual to half-century scales in a partially dewatered reach (DW) compared to reference reaches immediately upstream and downstream. A gradual decline in tree-ring basal area increment (BAI) began at DW concurrent to streamflow diversion in 1961. BAI at DW diverged from one reference reach immediately but not from the other until nearly 50&nbsp;years later. In contrast, tree-ring δ</span><sup>13</sup><span>C had a rapid and sustained increase following diversion at DW only, providing the stronger and clearer drought signal. BAI and δ</span><sup>13</sup><span>C were not significantly correlated prior to diversion; after diversion they both reflected drought and were correlated for DW trees only. Cluster analyses distinguished all trees in DW from those in reference reaches based on δ</span><sup>13</sup><span>C, but BAI patterns left trees intermixed across reaches. Branch and tree mortality were also highest and canopy vigor was lowest in DW. Results indicate that water scarcity strongly limited cottonwood photosynthesis following flow diversion, thus reducing carbon assimilation, basal growth and survival. The dieback was not sudden, but occurred over decades as carbon deficits mounted and depleted streamflow left trees increasingly vulnerable to local meteorological drought.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.139523","usgsCitation":"Schook, D.M., Friedman, J.M., Stricker, C.A., Csank, A.Z., and Cooper, D.J., 2020, Short- and long-term responses of riparian cottonwoods (Populus spp.) to flow diversion: Analysis of tree-ring radial growth and stable carbon isotopes: Science of the Total Environment, v. 735, 139523, 11 p., https://doi.org/10.1016/j.scitotenv.2020.139523.","productDescription":"139523, 11 p.","ipdsId":"IP-117602","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":456676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.139523","text":"Publisher Index Page"},{"id":377443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin Nation Park, Snake Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.41436767578124,\n              38.791556581282244\n            ],\n            [\n              -114.09576416015624,\n              38.791556581282244\n            ],\n            [\n              -114.09576416015624,\n              39.07784203269269\n            ],\n            [\n              -114.41436767578124,\n              39.07784203269269\n            ],\n            [\n              -114.41436767578124,\n              38.791556581282244\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"735","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schook, Derek M.","contributorId":178325,"corporation":false,"usgs":false,"family":"Schook","given":"Derek","email":"","middleInitial":"M.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":795997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":795998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":795999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Csank, Adam Z.","contributorId":238091,"corporation":false,"usgs":false,"family":"Csank","given":"Adam","email":"","middleInitial":"Z.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":796000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, David J.","contributorId":196510,"corporation":false,"usgs":false,"family":"Cooper","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13017,"text":"Department of Forest and Rangeland Stewardship, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":796001,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215496,"text":"70215496 - 2020 - Effects of climate and land-use changes on fish catches across lakes at a global scale","interactions":[],"lastModifiedDate":"2021-01-22T21:47:26.382439","indexId":"70215496","displayToPublicDate":"2020-05-20T15:40:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate and land-use changes on fish catches across lakes at a global scale","docAbstract":"<p><span>Globally, our knowledge on lake fisheries is still limited despite their importance to food security and livelihoods. Here we show that fish catches can respond either positively or negatively to climate and land-use changes, by analyzing time-series data (1970–2014) for 31 lakes across five continents. We find that effects of a climate or land-use driver (e.g., air temperature) on lake environment could be relatively consistent in directions, but consequential changes in a lake-environmental factor (e.g., water temperature) could result in either increases or decreases in fish catch in a given lake. A subsequent correlation analysis indicates that reductions in fish catch was less likely to occur in response to potential climate and land-use changes if a lake is located in a region with greater access to clean water. This finding suggests that adequate investments for water-quality protection and water-use efficiency can provide additional benefits to lake fisheries and food security.</span></p>","language":"English","publisher":"Nature Publications","doi":"10.1038/s41467-020-14624-2","usgsCitation":"Kao, Y., Rogers, M.W., Bunnell, D., Cowx, I.G., Qian, S.S., Anneville, O., Beard, Brinker, A., Britton, J., Chura-Crusz, R., Gownaris, N.J., Jackson, J., Kangur, K., Kolding, J., Lukin, A., Lynch, A., Mercado-Silva, N., Moncayo-Estrada, R., Njaya, F.J., Ostrovsky, I., Rudstam, L., Sandstrom, A.L., Sato, Y., Siguayro-Mamani, H., Thorpe, A., van Zwieten, P.A., Volta, P., Wang, Y.Q., Weiperth, A., Weyl, O., and Young, J.D., 2020, Effects of climate and land-use changes on fish catches across lakes at a global scale: Nature Communications, v. 11, 2526, 14 p., https://doi.org/10.1038/s41467-020-14624-2.","productDescription":"2526, 14 p.","ipdsId":"IP-108774","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":456678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-020-14624-2","text":"Publisher Index Page"},{"id":382523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kao, Y.","contributorId":243522,"corporation":false,"usgs":false,"family":"Kao","given":"Y.","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":802469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":802470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":217344,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":802471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowx, I. G.","contributorId":243523,"corporation":false,"usgs":false,"family":"Cowx","given":"I.","email":"","middleInitial":"G.","affiliations":[{"id":40174,"text":"University of Hull","active":true,"usgs":false}],"preferred":false,"id":802472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Qian, S. S.","contributorId":243524,"corporation":false,"usgs":false,"family":"Qian","given":"S.","email":"","middleInitial":"S.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":802473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anneville, O.","contributorId":243525,"corporation":false,"usgs":false,"family":"Anneville","given":"O.","affiliations":[{"id":48714,"text":"Université Savoie","active":true,"usgs":false}],"preferred":false,"id":802474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":802475,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brinker, A.","contributorId":243526,"corporation":false,"usgs":false,"family":"Brinker","given":"A.","email":"","affiliations":[{"id":48715,"text":"Fisheries Research Station of Baden-Württemberg","active":true,"usgs":false}],"preferred":false,"id":802476,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Britton, J. R.","contributorId":243527,"corporation":false,"usgs":false,"family":"Britton","given":"J. R.","affiliations":[{"id":48716,"text":"Bournemouth University","active":true,"usgs":false}],"preferred":false,"id":802477,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chura-Crusz, R.","contributorId":243528,"corporation":false,"usgs":false,"family":"Chura-Crusz","given":"R.","email":"","affiliations":[{"id":48717,"text":"Laboratorio Continental de Puno, Instituto del Mar del Perú","active":true,"usgs":false}],"preferred":false,"id":802478,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gownaris, N. J.","contributorId":243529,"corporation":false,"usgs":false,"family":"Gownaris","given":"N.","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":802479,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jackson, J. R.","contributorId":243530,"corporation":false,"usgs":false,"family":"Jackson","given":"J. R.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":802480,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kangur, K.","contributorId":243531,"corporation":false,"usgs":false,"family":"Kangur","given":"K.","affiliations":[{"id":18000,"text":"Estonian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":802481,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kolding, J.","contributorId":243532,"corporation":false,"usgs":false,"family":"Kolding","given":"J.","email":"","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":802482,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lukin, A.A.","contributorId":243533,"corporation":false,"usgs":false,"family":"Lukin","given":"A.A.","email":"","affiliations":[{"id":48718,"text":"Ministry of Agriculture of Russia","active":true,"usgs":false}],"preferred":false,"id":802483,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":802484,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mercado-Silva, N.","contributorId":243534,"corporation":false,"usgs":false,"family":"Mercado-Silva","given":"N.","affiliations":[{"id":48719,"text":"Universidad Autónoma del Estado de Morelos","active":true,"usgs":false}],"preferred":false,"id":802485,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Moncayo-Estrada, R.","contributorId":243535,"corporation":false,"usgs":false,"family":"Moncayo-Estrada","given":"R.","email":"","affiliations":[{"id":48720,"text":"Instituto Politécnico Nacional-CICIMAR and COFAA","active":true,"usgs":false}],"preferred":false,"id":802486,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Njaya, F. J.","contributorId":243536,"corporation":false,"usgs":false,"family":"Njaya","given":"F.","email":"","middleInitial":"J.","affiliations":[{"id":48721,"text":"Kinneret Limnological Laboratory","active":true,"usgs":false}],"preferred":false,"id":802487,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ostrovsky, I.","contributorId":243537,"corporation":false,"usgs":false,"family":"Ostrovsky","given":"I.","email":"","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":802488,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Rudstam, L.G.","contributorId":243538,"corporation":false,"usgs":false,"family":"Rudstam","given":"L.G.","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":802489,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Sandstrom, A. L. E.","contributorId":243539,"corporation":false,"usgs":false,"family":"Sandstrom","given":"A.","email":"","middleInitial":"L. E.","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":802490,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Sato, Y.","contributorId":243540,"corporation":false,"usgs":false,"family":"Sato","given":"Y.","email":"","affiliations":[{"id":48722,"text":"Lake Biwa Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":802491,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Siguayro-Mamani, Humberto","contributorId":243541,"corporation":false,"usgs":false,"family":"Siguayro-Mamani","given":"Humberto","email":"","affiliations":[{"id":48717,"text":"Laboratorio Continental de Puno, Instituto del Mar del Perú","active":true,"usgs":false}],"preferred":false,"id":802492,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Thorpe, A.","contributorId":243542,"corporation":false,"usgs":false,"family":"Thorpe","given":"A.","affiliations":[{"id":38839,"text":"University of Portsmouth","active":true,"usgs":false}],"preferred":false,"id":802493,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"van Zwieten, P. A. M.","contributorId":243543,"corporation":false,"usgs":false,"family":"van Zwieten","given":"P.","email":"","middleInitial":"A. M.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":802494,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Volta, P.","contributorId":243544,"corporation":false,"usgs":false,"family":"Volta","given":"P.","email":"","affiliations":[{"id":48723,"text":"CNR Water Research Institute","active":true,"usgs":false}],"preferred":false,"id":802495,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wang, Y. Q.","contributorId":221210,"corporation":false,"usgs":false,"family":"Wang","given":"Y.","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":802496,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Weiperth, A.","contributorId":243545,"corporation":false,"usgs":false,"family":"Weiperth","given":"A.","email":"","affiliations":[{"id":48724,"text":"Szent István University","active":true,"usgs":false}],"preferred":false,"id":802497,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Weyl, O. L. F.","contributorId":243546,"corporation":false,"usgs":false,"family":"Weyl","given":"O. L. F.","affiliations":[{"id":48725,"text":"South African Institute for Aquatic Biodiversity","active":true,"usgs":false}],"preferred":false,"id":802498,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Young, Joelle D.","contributorId":248310,"corporation":false,"usgs":false,"family":"Young","given":"Joelle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":808854,"contributorType":{"id":1,"text":"Authors"},"rank":31}]}}
,{"id":70203888,"text":"sir20195030 - 2020 - Precipitation runoff modeling system (PRMS) as part of an integrated hydrologic model for the Osage Nation, northeastern Oklahoma, 1915–2014","interactions":[],"lastModifiedDate":"2020-05-21T12:01:12.54464","indexId":"sir20195030","displayToPublicDate":"2020-05-20T13:08:35","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5030","displayTitle":"Precipitation Runoff Modeling System (PRMS) as Part of an Integrated Hydrologic Model for the Osage Nation, Northeastern Oklahoma, 1915–2014","title":"Precipitation runoff modeling system (PRMS) as part of an integrated hydrologic model for the Osage Nation, northeastern Oklahoma, 1915–2014","docAbstract":"<h1>Executive Summary</h1><p>The Osage Nation lacks a comprehensive tribal water plan to describe the quality and quantity of water resources in the Osage Nation, a 2,304-square-mile (mi<sup>2</sup>) area of rolling pastures, tallgrass prairie, and mixed woodlands in northeastern Oklahoma. A tribal water plan can be used to help manage the sustainable development of surface and groundwater resources, thereby helping to provide a better future for the Osage Nation and their neighbors, while preserving water resources for the benefit of the surrounding environment and future generations. To help meet these goals and contribute to increased knowledge of the quantity and quality of water resources and the hydrologic processes and factors affecting those resources, the U.S. Geological Survey (USGS) in cooperation with the Osage Nation began studies to evaluate the surface-water and groundwater resources of the Osage Nation. An important component of these studies is the development and application of numerical models to improve quantification and understanding of the hydrologic system. These models are needed to estimate and quantify the effects of historical and potential future water resource development for the Osage Nation.</p><p>This report describes the development and application of a precipitation-runoff model, the Osage Nation watershed model (ONWM). The ONWM is needed as a component of the Osage Nation integrated hydrologic model (ONIHM). At the time of this study, the ONIHM was being developed using the USGS computer software MODFLOW-One Water Hydrologic Flow Model (MODFLOW-OWHM). The intended use of the ONIHM is to simulate all surface-water and groundwater components of the hydrologic system for a 2,905-mi<sup>2</sup> study area centered on the Osage Nation. The ONWM was developed using the USGS Precipitation Runoff Modeling System, version 4 (PRMS-IV) computer software, also referred to as PRMS in this report, for an 8,343-mi<sup>2</sup> study area in northeastern Oklahoma and southeastern Kansas, centered on and including the areas of the Osage Nation and the ONIHM. The ONWM is to be used as part of the ONIHM to provide a direct coupling with spatially and temporally varying daily climate conditions affecting the ONIHM study area. As an integral part of the ONIHM, the ONWM (1) simulates the inflow boundary conditions from tributary basins in the region outside and surrounding the ONIHM area; (2) provides estimates of spatially and temporally distributed precipitation, air temperature, potential evapotranspiration (PET), actual evapotranspiration (ET), soil moisture, recharge, and streamflow in the ONIHM area; and (3) provides a preliminary water budget for the ONIHM area and the surrounding region, including tributary drainage basins outside of and next to the ONIHM.</p><p>The specific objectives of this study were to use the ONWM to (1) provide a systematic inventory of the historical distribution of water inflows from precipitation (rain or snow) falling on the land surface and flowing through the surface-water network, (2) provide a historical context of the variability and spatial and temporal distribution of these waters, and (3) provide estimates of water inflows and potential observations to the ONIHM. The application of the ONWM as a component of the ONIHM is needed for planned simulations using the ONIHM to improve the understanding of the hydrologic system and to develop a fully comprehensive water budget, including the use and movement of water across the landscape, in the surface-water network, and in groundwater aquifers under historical and potential future conditions.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195030","collaboration":"Prepared in cooperation with the Osage Nation","usgsCitation":"Hevesi, J.A., Hanson, R.T., and Masoner, J.R., 2019, Precipitation runoff modeling system (PRMS) as part of an integrated hydrologic model for the Osage Nation, northeastern Oklahoma, 1915–2014: U.S. Geological Survey Scientific Investigations Report 2019–5030, 142 p., https://doi.org/10.3133/sir20195030.","productDescription":"Report: xii, 142 p.; Application Site","numberOfPages":"142","onlineOnly":"Y","ipdsId":"IP-060043","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":374968,"rank":3,"type":{"id":4,"text":"Application Site"},"url":"https://doi.org/10.5066/F7P55KJN","text":"National Water Information System: Web Interface"},{"id":374967,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5030/sir20195030.pdf","text":"Report","size":"50 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":374966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5030/coverthb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Osage Nation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.064208984375,\n              36.04465753921525\n            ],\n            [\n              -95.74859619140625,\n              36.04465753921525\n            ],\n            [\n              -95.74859619140625,\n              37.00035919622158\n            ],\n            [\n              -97.064208984375,\n              37.00035919622158\n            ],\n            [\n              -97.064208984375,\n              36.04465753921525\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","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>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Study Area</li><li>Model Development</li><li>Model Calibration</li><li>Model Limitations</li><li>Model Application</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-05-20","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228934,"text":"70228934 - 2020 - Evaluation of the impacts of radio-marking devices on feral horses and burros in a captive setting","interactions":[],"lastModifiedDate":"2022-02-24T16:37:32.539816","indexId":"70228934","displayToPublicDate":"2020-05-20T10:31:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10133,"text":"Human Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the impacts of radio-marking devices on feral horses and burros in a captive setting","docAbstract":"<p><span>Radio-collars and other radio-marking devices have been invaluable tools for wildlife managers for &gt;40 years. These marking devices have improved our understanding of wildlife spatial ecology and demographic parameters and provided new data facilitating model development for species conservation and management. Although these tools have been used on virtually all North American ungulates, their deployment on feral horses (</span><i>Equus ferus caballus</i><span>) or burros (</span><i>E. asinus</i><span>) has been limited. To determine if radio-collars and radio-tags could be safely deployed on feral equids, we conducted a 1-year observational study in 2015 to investigate fit and wear of radio-collars on feral horses and burros kept in pastures/pens at the Bureau of Land Management contracted adoption facility in Pauls Valley, Oklahoma, USA. We assessed the impact of radio-collars and transmitter tags on individual behavior, body condition, and evaluated neck surface for effects. We tested 2 radio-collar shapes (teardrop and oval) and a radio-tag (i.e., avian backpack) braided into the mane and tail of horses. Behavior of mares did not differ between radio-collared (</span><i>n</i><span>&nbsp;= 12) and control (uncollared;&nbsp;</span><i>n</i><span>&nbsp;= 12) individuals. Despite the small sample size, collared burro jennies (</span><i>n</i><span>&nbsp;= 4) spent more time standing than controls (</span><i>n</i><span>&nbsp;= 4). Stallions wearing radio-collars (</span><i>n</i><span>&nbsp;= 9) fed less, moved less, and stood more than controls (</span><i>n</i><span>&nbsp;= 8). During the study, we did not detect injuries to the necks of mares or burro jennies, but stallions developed small sores (that healed while still wearing radio-collars and re-haired within 3 months). Two radio-collars occasionally flipped forward over the ears onto the foreheads of stallions. Although our study confirmed that radio-collars could be safely deployed on captive mares and jennies, stallions proved challenging for a variety of reasons. While our conclusions were optimistic, longer studies will be required to ensure radio-collar safety on free-ranging feral horses and burros.</span></p>","language":"English","publisher":"Berryman Institute","doi":"10.26077/127m-4x33","usgsCitation":"Schoenecker, K., King, S.R., and Collins, G.C., 2020, Evaluation of the impacts of radio-marking devices on feral horses and burros in a captive setting: Human Wildlife Interactions, v. 14, no. 1, p. 73-86, https://doi.org/10.26077/127m-4x33.","productDescription":"14 p.","startPage":"73","endPage":"86","ipdsId":"IP-104331","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":436958,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WEUE9I","text":"USGS data release","linkHelpText":"Body condition score of horses wearing radio collars, weekly behavior data of treatments and controls, and monthly descriptive data of collar and radio tag effects, 2015-2016, Oklahoma, USA"},{"id":396430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Pauls Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.27432250976562,\n              34.649025753526985\n            ],\n            [\n              -97.16033935546875,\n              34.649025753526985\n            ],\n            [\n              -97.16033935546875,\n              34.77545980961412\n            ],\n            [\n              -97.27432250976562,\n              34.77545980961412\n            ],\n            [\n              -97.27432250976562,\n              34.649025753526985\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sarah R. B.","contributorId":280059,"corporation":false,"usgs":false,"family":"King","given":"Sarah","email":"","middleInitial":"R. B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":835959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Gail C.","contributorId":280060,"corporation":false,"usgs":false,"family":"Collins","given":"Gail","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":835960,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211291,"text":"70211291 - 2020 - Hydrothermal activity in the southwest Yellowstone Plateau Volcanic Field","interactions":[],"lastModifiedDate":"2020-07-22T15:02:02.47563","indexId":"70211291","displayToPublicDate":"2020-05-20T09:59:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal activity in the southwest Yellowstone Plateau Volcanic Field","docAbstract":"In the past two decades, the U.S. Geological Survey and the National Park Service have studied hydrothermal activity across the Yellowstone Plateau Volcanic Field (YPVF) to improve the understanding of the magmatic-hydrothermal system and to provide a baseline for detecting future anomalous activity. In 2017 and 2018 we sampled water and gas over a large area in the southwest YPVF and used Landsat 8 thermal infrared data to estimate radiative heat flow. Most of the thermal activity in this region is in close proximity to the Yellowstone Caldera boundary. Springs and fumaroles discharge from a variety of lithologies including some of the youngest rhyolites in the YPVF. Gas compositions and helium isotope ratios of most samples resemble those in other parts of the YPVF. The waters have meteoric origins and tritium was detected in several samples. Thermal waters from some areas have compositions that plot along a line connecting thermal and non-thermal water endmember compositions. The thermal water endmember equilibrated at 160-170 °C, lower than waters in Yellowstone’s geyser basins. Heat discharged by springs and fumaroles originates from within the Yellowstone Caldera and is transported laterally by advection, mainly along the base of rhyolite flows that cover the inferred caldera boundaries.","language":"English","publisher":"Geological Society of America","doi":"10.1029/2019GC008848","usgsCitation":"Hurwitz, S., McCleskey, R., Bergfeld, D., Peek, S., Susong, D., Roth, D.A., Hungerford, J., White, E.B., Harrison, L., Hosseini, B., Vaughan, R.G., Hunt, A., and Paces, J.B., 2020, Hydrothermal activity in the southwest Yellowstone Plateau Volcanic Field: Geochemistry, Geophysics, Geosystems, v. 21, no. 7, e2019GC008848, 26 p., https://doi.org/10.1029/2019GC008848.","productDescription":"e2019GC008848, 26 p.","ipdsId":"IP-114664","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":456680,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gc008848","text":"Publisher Index Page"},{"id":436959,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MJ0HYM","text":"USGS data release","linkHelpText":"Water chemistry data for selected hot springs and rivers in Southwest Yellowstone National Park, Wyoming"},{"id":376633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.060791015625,\n              43.88205730390537\n            ],\n            [\n              -109.3304443359375,\n              43.88205730390537\n            ],\n            [\n              -109.3304443359375,\n              44.999767019181284\n            ],\n            [\n              -111.060791015625,\n              44.999767019181284\n            ],\n            [\n              -111.060791015625,\n              43.88205730390537\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":793539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. 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,{"id":70211551,"text":"70211551 - 2020 - The historic events at Kilauea Volcano in 2018: Summit collapse, rift zone eruption, and Mw 6.9 earthquake: Preface to the special issue","interactions":[],"lastModifiedDate":"2020-07-30T14:53:32.42354","indexId":"70211551","displayToPublicDate":"2020-05-20T09:47:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"The historic events at Kilauea Volcano in 2018: Summit collapse, rift zone eruption, and Mw 6.9 earthquake: Preface to the special issue","docAbstract":"Kīlauea Volcano, on the Island of Hawaiʻi, has had a prominent role in the science of volcanology, and a long history of generating new insights into how volcanoes operate (Tilling et al. 2014; Garcia 2015).  Native Hawaiians shared ideas on the behavior of the volcano with early Western visitors to Kīlauea, addressing the basic geometry of magma supply and transport (Ellis 1825; Bishop 1827).  The recognition that magma originated at the summit and was transferred at shallow levels to the flanks implied that these ideas were rooted in centuries of observation preceding Western contact.  The lava lake activity at Kīlauea’s summit in the 1800s and early 1900s fascinated early geologists, such as James Dana (1890), who published one of the first inquiries into the fundamental processes of Hawaiian volcanoes. The sustained activity led to the 1912 founding of the Hawaiian Volcano Observatory, one of the world’s first volcano observatories, by Thomas Jaggar (Tilling et al. 2014).  Kīlauea’s activity in the 20th century contributed to the development of many modern volcano monitoring techniques (Tilling et al. 2014), which helped refine conceptual models of how volcanoes behave (Eaton and Murata, 1960).","language":"English","publisher":"Springer","doi":"10.1007/s00445-020-01377-5","usgsCitation":"Patrick, M.R., Johanson, I.A., Shea, T., and Waite, G., 2020, The historic events at Kilauea Volcano in 2018: Summit collapse, rift zone eruption, and Mw 6.9 earthquake: Preface to the special issue: Bulletin of Volcanology, v. 82, 46, 4 p., https://doi.org/10.1007/s00445-020-01377-5.","productDescription":"46, 4 p.","ipdsId":"IP-117306","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-020-01377-5","text":"Publisher Index Page"},{"id":376889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3144073486328,\n              19.385000077878544\n            ],\n            [\n              -155.22789001464844,\n              19.385000077878544\n            ],\n            [\n              -155.22789001464844,\n              19.44652177370614\n            ],\n            [\n              -155.3144073486328,\n              19.44652177370614\n            ],\n            [\n              -155.3144073486328,\n              19.385000077878544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shea, Thomas","contributorId":236886,"corporation":false,"usgs":false,"family":"Shea","given":"Thomas","affiliations":[{"id":47560,"text":"University of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":794596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, Greg 0000-0002-7092-8125","orcid":"https://orcid.org/0000-0002-7092-8125","contributorId":215624,"corporation":false,"usgs":false,"family":"Waite","given":"Greg","email":"","affiliations":[{"id":36614,"text":"Michigan Tech","active":true,"usgs":false}],"preferred":false,"id":794597,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210185,"text":"sir20205047 - 2020 - Quantifying trends in arsenic, nitrate, and dissolved solids from selected wells in Utah","interactions":[],"lastModifiedDate":"2020-05-21T11:51:18.956539","indexId":"sir20205047","displayToPublicDate":"2020-05-20T09:45:16","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5047","displayTitle":"Quantifying Trends in Arsenic, Nitrate, and Dissolved Solids from Selected Wells in Utah","title":"Quantifying trends in arsenic, nitrate, and dissolved solids from selected wells in Utah","docAbstract":"<p>Groundwater makes up a primary portion of the water supply in many parts of Utah, with annual withdrawals estimated at more than 1,000,000 acre-feet per year. Increases to groundwater withdrawal and land use may negatively impact water availability. Ensuring availability of clean water requires understanding how water quality has changed over time and how natural and human activities and processes influence water quality. Changes in arsenic, nitrate, and dissolved-solids concentrations in the groundwater in basins with high groundwater withdrawals were evaluated between 1975 and 2015 as indicators of basinwide water quality and the suitability of water for drinking. Data were used from the U.S. Geological Survey’s National Water Information System (NWIS) database and the Safe Drinking Water Information System (SDWIS) maintained by the Utah Department of Environmental Quality, Division of Drinking Water. Mann-Kendall trend tests were used to assess temporal trends in decadal and 5-year (sub-decadal) median analyte concentrations in basins. Trends also were assessed in smaller parts of larger basins to focus on changes occurring at a smaller spatial scale. To evaluate the relationship between land-use change and water-quality changes, trends also were evaluated for wells where land use has changed. Trends in decadal and sub-decadal median arsenic, nitrate, and dissolved-solids concentrations over time were identified throughout the basins and sub-basins in this study. For combined NWIS and SDWIS data, rates of median arsenic concentration change in basins and sub-basins ranged between decreases of –0.24 microgram per liter (<span>μ</span>g/L) per year and increases of 0.48 <span>μ</span>g/L per year. Rates of median nitrate-concentration change ranged between decreases of –0.08 milligram per liter (mg/L) per year and increases of 0.02 mg/L per year. Rates of median dissolved solids concentration change ranged between decreases of –5 mg/L per year and increases of 7 mg/L per year. The rates of change for nitrate and dissolved solids were similar to or less than rates of change observed in other parts of the country. Trends were not directly related to land-use change approximal to a well, although more data from wells where land use has changed would improve this evaluation. These findings highlight that water quality at a well is related to a range of factors including land, demographics, and water use over a larger area surrounding and up-gradient from the well; rates and direction of groundwater movement; and geologic and hydrologic conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205047","collaboration":"Prepared in Cooperation with the Utah Department of Environmental Quality","usgsCitation":"Miller, O.L., 2020, Quantifying trends in arsenic, nitrate, and dissolved solids from selected wells in Utah: U.S. Geological Survey Scientific Investigations Report 2020–5047, 80 p., https://doi.org/10.3133/sir20205047.","productDescription":"viii, 80 p.","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-108685","costCenters":[{"id":610,"text":"Utah Water Science 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 \"}}]}","contact":"<p><a href=\"https://www.usgs.gov/centers/ut-water/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/ut-water/connect\">Director</a>,&nbsp;<br><a href=\"https://ut.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ut.water.usgs.gov\">Utah 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>2329 West Orton Circle<br>Salt Lake City, Utah 84119-2047<br>801-908-5000</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results: Identification and Quantification of Groundwater-Quality Trends</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-05-20","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":219231,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":789469,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70211025,"text":"70211025 - 2020 - Decision analysis for managing public natural resources","interactions":[],"lastModifiedDate":"2022-02-01T16:49:07.197528","indexId":"70211025","displayToPublicDate":"2020-05-20T09:11:51","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Decision analysis for managing public natural resources","docAbstract":"Examples like the Grand Canyon story are becoming more common—agencies and stakeholders are increasingly using decision tools to help navigate complex decisions regarding natural resources. Several books and many papers have made the case for the use of decision analysis in natural resource management settings and have described the tools available (Conroy and Peterson 2013; Gregory et al. 2012; Williams et al. 2002), but only a few applications have been described. Thus, many agencies understand why decision analysis is valuable, but wonder how to implement it. The primary purpose of this book is to show what decision analysis looks like in practice for natural resource management, as a means to guide decision makers in adopting these practices to improve the achievement of their objectives. To this end, the collected case studies in this book, all real natural resource management decisions, were chosen with three objectives in mind: (1) to demonstrate how structuring decisions can render them more tractable; (2) to illustrate the diversity of decision analysis tools useful at various stages of the structuring process; and (3) to provide guidance on how decision analysis processes can be carried out in public environmental institutions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Structured decision making: Case studies in natural resource management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Runge, M.C., and Bean, E.A., 2020, Decision analysis for managing public natural resources, chap. 1 <i>of</i> Structured decision making: Case studies in natural resource management, no. 8 p., p. 15-22.","startPage":"15","endPage":"22","ipdsId":"IP-101848","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":376260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"8 p.","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":792466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Ellen A","contributorId":228883,"corporation":false,"usgs":false,"family":"Bean","given":"Ellen","email":"","middleInitial":"A","affiliations":[{"id":41524,"text":"Bean Consulting","active":true,"usgs":false}],"preferred":false,"id":792467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211306,"text":"70211306 - 2020 - Hydro-morphological characterization of coral reefs for wave runup prediction","interactions":[],"lastModifiedDate":"2020-09-24T14:29:39.117352","indexId":"70211306","displayToPublicDate":"2020-05-20T08:53:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Hydro-morphological characterization of coral reefs for wave runup prediction","docAbstract":"<p><span>Many coral reef-lined coasts are low-lying with elevations &lt;4 m above mean sea level. Climate-change-driven sea-level rise, coral reef degradation, and changes in storm wave climate will lead to greater occurrence and impacts of wave-driven flooding. This poses a significant threat to their coastal communities. While greatly at risk, the complex hydrodynamics and bathymetry of reef-lined coasts make flood risk assessment and prediction costly and difficult. Here we use a large (&gt;30,000) dataset of measured coral reef topobathymetric cross-shore profiles, statistics, machine learning, and numerical modeling to develop a set of representative cluster profiles (RCPs) that can be used to accurately represent the shoreline hydrodynamics of a large variety of coral reef-lined coasts around the globe. In two stages, the large dataset is reduced by clustering cross-shore profiles based on morphology and hydrodynamic response to typical wind and swell wave conditions. By representing a large variety of coral reef morphologies with a reduced number of RCPs, a computationally feasible number of numerical model simulations can be done to obtain wave runup estimates, including setup at the shoreline and swash separated into infragravity and sea-swell components, of the entire dataset. The predictive capability of the RCPs is tested against 5,000 profiles from the dataset. The wave runup is predicted with a mean error of 9.7–13.1%, depending on the number of cluster profiles used, ranging from 312 to 50. The RCPs identified here can be combined with probabilistic tools that can provide an enhanced prediction given a multivariate wave and water level climate and reef ecology state. Such a tool can be used for climate change impact assessments and studying the effectiveness of reef restoration projects, as well as for the provision of coastal flood predictions in a simplified (global) early warning system.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.00361","usgsCitation":"Scott, F., Antolinez, J.A., McCall, R.T., Storlazzi, C.D., Reiners, A., and Pearson, S., 2020, Hydro-morphological characterization of coral reefs for wave runup prediction: Frontiers in Marine Science, v. 7, 361, 20 p., https://doi.org/10.3389/fmars.2020.00361.","productDescription":"361, 20 p.","ipdsId":"IP-116940","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456686,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00361","text":"Publisher Index Page"},{"id":436960,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9C39WNE","text":"USGS data release","linkHelpText":"Coral reef profiles for wave-runup prediction"},{"id":376661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2020-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Scott, Fred","contributorId":229615,"corporation":false,"usgs":false,"family":"Scott","given":"Fred","email":"","affiliations":[{"id":27619,"text":"TU Delft","active":true,"usgs":false}],"preferred":false,"id":793676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antolinez, Jose A.A.","contributorId":177510,"corporation":false,"usgs":false,"family":"Antolinez","given":"Jose","email":"","middleInitial":"A.A.","affiliations":[],"preferred":false,"id":793677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":793678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","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":793679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reiners, Ad","contributorId":229616,"corporation":false,"usgs":false,"family":"Reiners","given":"Ad","email":"","affiliations":[{"id":27619,"text":"TU Delft","active":true,"usgs":false}],"preferred":false,"id":793680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, Stuart","contributorId":193835,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","affiliations":[],"preferred":false,"id":793681,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208929,"text":"sir20205053 - 2020 - Using remotely sensed data to map Joshua Tree distributions at Naval Air Weapons Station China Lake, California, 2018","interactions":[],"lastModifiedDate":"2020-05-21T11:43:03.892535","indexId":"sir20205053","displayToPublicDate":"2020-05-20T08:23:12","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5053","displayTitle":"Using Remotely Sensed Data to Map Joshua Tree Distributions at Naval Air Weapons Station China Lake, California, 2018","title":"Using remotely sensed data to map Joshua Tree distributions at Naval Air Weapons Station China Lake, California, 2018","docAbstract":"<p><span>Species distribution models (SDMs) that are derived through inference have been used to provide important insights toward species distributions. Their inferences can be robust in relation to known presences, but SDMs have error rates that cannot be quantified with certainty. For large plant species with unique signatures and in sparsely vegetated habitats, object-oriented satellite image interpretation provides a useful alternative to the more commonly used SDM approach. We tested visual image interpretation techniques in a pilot project to map the distribution of the Joshua tree (<i>Yucca brevifolia</i>), an arborescent succulent plant endemic to the Mojave Desert of North America. Naval Air Weapons Station China Lake (NAWS–CL) required assistance in mapping the distribution of Joshua trees across the 4,715 square kilometer (km</span><sup><span>2</span></sup><span>) military installation in support of their national security mission. Joshua trees were present on 1,307 1-km</span><sup><span>2 </span></sup><span>cells in the species distribution model, or 27.7 percent of the military installation. This increases the published range of Joshua trees at NAWS–CL by 90 percent and corrects for two stands of Joshua trees that were previously identified but do not exist. Remotely sensed satellite data in combination with ground surveys of Joshua trees produced a more accurate distribution map at a 1-kilometer resolution than did previous SDMs based on correlative modeling (area under the curve [AUC] 0.9064 versus 0.5848, respectively). Ancillary comparison with light detection and ranging (lidar) data indicated that satellite and lidar data were equally successful with slightly different sources of error, but that using them in combination produced the best results.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205053","usgsCitation":"Esque, T.C., Baird, P.E., Chen, F.C., Housman, D., and Holton, J.T., 2020, Using remotely sensed data to map Joshua Tree distributions at Naval Air Weapons Station China Lake, California, 2018: U.S. Geological Survey Scientific Investigations Report 2020–5053, 13 p., https://doi.org/10.3133/sir20205053.","productDescription":"vi, 13 p.","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-106778","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":374807,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5053/sir20205053.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":374806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5053/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Naval Air Weapons Station China Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.0316162109375,\n              35.04573815523954\n            ],\n            [\n              -116.66931152343749,\n              34.99625375979014\n            ],\n            [\n              -116.79565429687499,\n              36.461054075054314\n            ],\n            [\n              -117.99316406249999,\n              36.474306755095235\n            ],\n            [\n              -118.0316162109375,\n              35.04573815523954\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research 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>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Cost</li><li>Discussion</li><li>Next Steps</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-05-20","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":784068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baird, Patrick E.","contributorId":223087,"corporation":false,"usgs":false,"family":"Baird","given":"Patrick","email":"","middleInitial":"E.","affiliations":[{"id":40669,"text":"former USGS - WERC","active":true,"usgs":false}],"preferred":false,"id":784069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Felicia C. 0000-0002-7408-5946 fchen@usgs.gov","orcid":"https://orcid.org/0000-0002-7408-5946","contributorId":140025,"corporation":false,"usgs":true,"family":"Chen","given":"Felicia","email":"fchen@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":784070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Housman, David C.","contributorId":60752,"corporation":false,"usgs":false,"family":"Housman","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":784071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holton, Tom J.","contributorId":223089,"corporation":false,"usgs":false,"family":"Holton","given":"Tom","email":"","middleInitial":"J.","affiliations":[{"id":40670,"text":"Dept of Defense","active":true,"usgs":false}],"preferred":false,"id":784072,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217908,"text":"70217908 - 2020 - The water-year water balance of the Colorado River Basin","interactions":[],"lastModifiedDate":"2021-02-11T17:38:35.270899","indexId":"70217908","displayToPublicDate":"2020-05-20T08:11:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The water-year water balance of the Colorado River Basin","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Model‐estimated monthly water balance components (i.e., potential evapotranspiration, actual evapotranspiration, and runoff (<i>R</i>)) for 146 United States (U.S.) Geological Survey 8‐digit hydrologic units located in the Colorado River Basin (CRB) are used to examine the temporal and spatial variability of the CRB water balance for water years 1901 through 2014 (a water year is the period from October 1 of one year through September 30 of the following year). Results indicate that the CRB can be divided into six subregions with similar temporal variability in monthly<span>&nbsp;</span><i>R</i>. The water balance analyses indicated that approximately 75% of total water‐year<span>&nbsp;</span><i>R</i><span>&nbsp;</span>is generated by just one CRB subregion and that most of the<span>&nbsp;</span><i>R</i><span>&nbsp;</span>in the basin is derived from surplus (<i>S</i>) water generated during the months of October through April. Furthermore, the analyses show that temporal variability in<span>&nbsp;</span><i>S</i><span>&nbsp;</span>is largely controlled by the occurrence of negative atmospheric pressure anomalies over the northwestern conterminous U.S. (CONUS) and positive atmospheric pressure anomalies over the southeastern CONUS. This combination of atmospheric pressure anomalies results in an anomalous flow of moist air from the North Pacific Ocean into the CRB, particularly the Upper CRB. Additionally, the occurrence of extreme dry and wet periods in the CRB appears to be related to variability of the Atlantic Multidecadal Oscillation and the Pacific Decadal Oscillation.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12848","usgsCitation":"McCabe, G.J., and Wolock, D.M., 2020, The water-year water balance of the Colorado River Basin: Journal of the American Water Resources Association, v. 56, no. 4, p. 724-737, https://doi.org/10.1111/1752-1688.12848.","productDescription":"14 p.","startPage":"724","endPage":"737","ipdsId":"IP-108706","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":488268,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1630254","text":"External Repository"},{"id":383201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah","otherGeospatial":"Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.78515624999999,\n              32.58384932565662\n            ],\n            [\n              -111.0498046875,\n              31.353636941500987\n            ],\n            [\n              -109.072265625,\n              31.27855085894653\n            ],\n            [\n              -108.10546875,\n              31.952162238024975\n            ],\n            [\n              -107.05078125,\n              34.74161249883172\n            ],\n            [\n              -106.9189453125,\n              37.16031654673677\n            ],\n            [\n              -107.22656249999999,\n              38.685509760012\n            ],\n            [\n              -107.9296875,\n              40.413496049701955\n            ],\n            [\n              -109.64355468749999,\n              41.83682786072714\n            ],\n            [\n              -110.9619140625,\n              42.19596877629178\n            ],\n            [\n              -112.0166015625,\n              41.343824581185686\n            ],\n            [\n              -113.73046875,\n              40.68063802521456\n            ],\n            [\n              -115.31249999999999,\n              40.34654412118006\n            ],\n            [\n              -116.05957031249999,\n              39.095962936305476\n            ],\n            [\n              -116.19140625,\n              37.33522435930639\n            ],\n            [\n              -115.48828125000001,\n              35.31736632923788\n            ],\n            [\n              -115.48828125000001,\n              33.8339199536547\n            ],\n            [\n              -114.60937499999999,\n              32.54681317351514\n            ],\n            [\n              -114.78515624999999,\n              32.58384932565662\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":810147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":810148,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70210218,"text":"70210218 - 2020 - Seismic velocity variations associated with the 2018 lower East Rift Zone eruption of Kīlauea, Hawaiʻi","interactions":[],"lastModifiedDate":"2020-05-21T12:35:22.76059","indexId":"70210218","displayToPublicDate":"2020-05-20T07:31:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Seismic velocity variations associated with the 2018 lower East Rift Zone eruption of Kīlauea, Hawaiʻi","docAbstract":"The 2018 lower East Rift Zone eruption of Kīlauea (Hawai‘i) marked a dramatic change in the volcano’s 35-year-long rift zone eruption. The collapse of the middle East Rift Zone vent Pu‘u ‘Ō‘ō was followed by one of the volcano’s most voluminous eruptions in 500 years. Over the course of this 3-month eruption, the draining of summit-stored magma led to near-daily collapses of a portion of the caldera and ultimately up to 500 m of summit subsidence. While deformation data indicated that the summit and middle East Rift Zone were inflating for the previous several years, why Pu‘u ‘Ō‘ō collapsed and what initiated down-rift dike propagation remains unclear. Using ambient noise seismic interferometry, we show that a Ml5.3 decollement earthquake beneath Kīlauea’s south flank in June 2017 induced a coseismic decrease of up to 0.30% in seismic velocity throughout the volcano. This velocity decrease may have been caused by dynamic stress–induced shallow crustal fracture, i.e., weakening to dilatant crack growth, and was greatest near Pu‘u ‘Ō‘ō. Additionally, we verify a pre-eruptive increase in seismic velocity, consistent with increasing pressurization in the volcano’s shallow summit magma reservoir. This velocity increase occurred coincident with the first in a series of lower-crustal earthquake swarms, 6 days before a 2-month period of rapid summit and middle East Rift Zone inflation. The increase in up-rift magma-static pressure, combined with the pre-existing weakness from the June 2017 earthquake, may have facilitated down-rift dike propagation and the devastating 2018 eruption.","language":"English","publisher":"Springer","doi":"10.1007/s00445-020-01380-w","usgsCitation":"Flinders, A.F., Caudron, C., Johanson, I.A., Taira, T., Shiro, B., and Haney, M.M., 2020, Seismic velocity variations associated with the 2018 lower East Rift Zone eruption of Kīlauea, Hawaiʻi: Bulletin of Volcanology, v. 82, 47, 13 p., https://doi.org/10.1007/s00445-020-01380-w.","productDescription":"47, 13 p.","ipdsId":"IP-107347","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-020-01380-w","text":"Publisher Index Page"},{"id":374979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.33843994140625,\n              19.303367019780318\n            ],\n            [\n              -155.16815185546875,\n              19.303367019780318\n            ],\n            [\n              -155.16815185546875,\n              19.460765580777778\n            ],\n            [\n              -155.33843994140625,\n              19.460765580777778\n            ],\n            [\n              -155.33843994140625,\n              19.303367019780318\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Flinders, Ashton F. 0000-0003-2483-4635 aflinders@usgs.gov","orcid":"https://orcid.org/0000-0003-2483-4635","contributorId":196960,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton","email":"aflinders@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":789582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caudron, Corentin 0000-0002-3748-0007","orcid":"https://orcid.org/0000-0002-3748-0007","contributorId":224799,"corporation":false,"usgs":false,"family":"Caudron","given":"Corentin","email":"","affiliations":[{"id":40942,"text":"Université Grenoble Alpes, Université Savoie, ISTerre, Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":789583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":789584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taira, Taka’aki 0000-0002-6170-797X","orcid":"https://orcid.org/0000-0002-6170-797X","contributorId":222985,"corporation":false,"usgs":false,"family":"Taira","given":"Taka’aki","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":789585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":789586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":789587,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70210742,"text":"70210742 - 2020 - Submarine canyons, slope failures and mass transport processes in southern Cascadia","interactions":[],"lastModifiedDate":"2020-07-10T12:39:44.442085","indexId":"70210742","displayToPublicDate":"2020-05-20T07:22:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Submarine canyons, slope failures and mass transport processes in southern Cascadia","docAbstract":"The marine turbidite record along the southern Cascadia Subduction Zone has been used to interpret paleoseismicity and suggest a shorter recurrence interval for large (>M7) earthquakes along this portion of the margin; however, the sources and pathways of these turbidity flows are poorly constrained. We examine the spatial distribution of sediment storage, downslope transport, and slope failures across the margin using multibeam bathymetry, sparker multichannel seismic and chirp subbottom data. Although deep-sea seismoturbidites are often linked to turbidity flows in submarine canyons, the morphology and stratigraphy of southern Cascadia suggests few of the canyons have been active sediment conduits during the recent sea level highstand. Stepped, intraslope basins trap most of the sediment from Rogue and Sixes canyons. Smith and Klamath canyons appear to be isolated, lower slope incisions with no connection to upper slope canyons or gullies. Aggradation and infilling of channels on the upper slope of Trinidad Canyon indicate limited sediment bypass during the Holocene. In contrast, there is evidence of extensive mass wasting of the lower slope, and non-channelized downslope flows outside of the canyon systems that appear to be likely sources of seismoturbidites in southern Cascadia, rather than routing of shelf sediment through submarine canyon systems.","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP500-2019-169","usgsCitation":"Hill, J.C., Watt, J., Brothers, D.S., and Kluesner, J.W., 2020, Submarine canyons, slope failures and mass transport processes in southern Cascadia: Geological Society, London, Special Publications, v. 500, p. 453-475, https://doi.org/10.1144/SP500-2019-169.","productDescription":"23 p.","startPage":"453","endPage":"475","ipdsId":"IP-106007","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":436962,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R3QM97","text":"USGS data release","linkHelpText":"Multichannel sparker seismic reflection data of USGS field activity 2018-658-FA collected between Cape Blanco and Cape Mendocino from 2018-10-04 to 2018-10-18"},{"id":376244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Southern Cascadia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.49658203125001,\n              39.41922073655956\n            ],\n            [\n              -122.6513671875,\n              39.41922073655956\n            ],\n            [\n              -122.6513671875,\n              43.004647127794435\n            ],\n            [\n              -126.49658203125001,\n              43.004647127794435\n            ],\n            [\n              -126.49658203125001,\n              39.41922073655956\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"500","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Jenna C. 0000-0002-7475-357X","orcid":"https://orcid.org/0000-0002-7475-357X","contributorId":21987,"corporation":false,"usgs":true,"family":"Hill","given":"Jenna","email":"","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watt, Janet 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":221271,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":791194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":201261,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791195,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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