{"pageNumber":"473","pageRowStart":"11800","pageSize":"25","recordCount":165446,"records":[{"id":70221855,"text":"70221855 - 2021 - Sediment transport, turbidity, and dissolved oxygen responses to annual streambed drawdowns for downstream fish passage in a flood control reservoir","interactions":[],"lastModifiedDate":"2021-07-12T17:40:19.227133","indexId":"70221855","displayToPublicDate":"2021-06-18T12:39:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport, turbidity, and dissolved oxygen responses to annual streambed drawdowns for downstream fish passage in a flood control reservoir","docAbstract":"<p><span>Sediment transport,&nbsp;turbidity, and dissolved oxygen were evaluated during six consecutive water years (2013–2018) of drawdowns of a flood control reservoir in the upper Willamette Valley, Oregon, USA. The drawdowns were conducted to allow volitional passage of endangered juvenile chinook salmon through the dam's regulating outlets by lowering the reservoir elevation to a point where the historical&nbsp;streambed&nbsp;was exposed and transported water and sediment through the reservoir dam. Sediment loads during the drawdown were highest in the first year of monitoring, with a computed value of 40,200 metric tons over a 5-day drawdown, followed by 5 years of lower sediment loads and lower sediment transport rates, suggesting that much of the stored sediment within the reservoir&nbsp;thalweg&nbsp;was transported out of the reservoir in the early years of the consecutive drawdowns.&nbsp;Suspended sediment&nbsp;concentrations (SSC) computed using turbidity and&nbsp;</span>streamflow<span>&nbsp;data resulted in maximum SSC at the onset of the drawdowns, with the highest computed values occurring during the water year 2017 drawdown at 17,500&nbsp;mg/L (turbidity&nbsp;=&nbsp;2,990 FNU), and average drawdown SSC values ranging from 654 to 3,950&nbsp;mg/L for the six years of monitoring. Computed SSC were on the lower range of concentrations that could be harmful to out-migrating juvenile salmon published in other studies. High amounts of&nbsp;particulate organic matter&nbsp;and sand-sized material in drawdown SSC samples affected relations between turbidity and SSC, requiring the use of multiple surrogate regression models over short time frames. Dissolved oxygen minimum values were recorded in two of the monitoring years, with a minimum value of 0.71 and 3.4&nbsp;mg/L recorded at the onset of the drawdowns in water years 2016 and 2018, respectively. Dissolved oxygen values below 4&nbsp;mg/L lasted for 1&nbsp;h, suggesting a rapidly expressed&nbsp;chemical oxygen demand. The response of suspended sediment loads and SSC highlight the site-specific nature of reservoir drawdowns, and the need for evaluation of expected sediment responses for drawdowns being considered at other locations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.113068","usgsCitation":"Schenk, L.N., and Bragg, H.M., 2021, Sediment transport, turbidity, and dissolved oxygen responses to annual streambed drawdowns for downstream fish passage in a flood control reservoir: Journal of Environmental Management, v. 295, 113068, 11 p., https://doi.org/10.1016/j.jenvman.2021.113068.","productDescription":"113068, 11 p.","ipdsId":"IP-119744","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":387132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Fall Creek Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.69325256347656,\n              43.923862711777446\n            ],\n            [\n              -122.73548126220703,\n              43.9429004110983\n            ],\n            [\n              -122.69565582275389,\n              43.95130472827632\n            ],\n            [\n              -122.65342712402344,\n              43.97305156068593\n            ],\n            [\n              -122.66578674316406,\n              43.97972228837853\n            ],\n            [\n              -122.71076202392577,\n              43.96069638244953\n            ],\n            [\n              -122.75333404541016,\n              43.959460723283826\n            ],\n            [\n              -122.76226043701173,\n              43.958472177448414\n            ],\n            [\n              -122.76191711425781,\n              43.93820336335502\n            ],\n            [\n              -122.7509307861328,\n              43.93721446391471\n            ],\n            [\n              -122.73616790771484,\n              43.93251696697599\n            ],\n            [\n              -122.70767211914064,\n              43.92336814487696\n            ],\n            [\n              -122.69256591796876,\n              43.92287357386489\n            ],\n            [\n              -122.69325256347656,\n              43.923862711777446\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"295","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bragg, Heather M. 0000-0002-0013-4573 hmbragg@usgs.gov","orcid":"https://orcid.org/0000-0002-0013-4573","contributorId":239645,"corporation":false,"usgs":true,"family":"Bragg","given":"Heather","email":"hmbragg@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819010,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232408,"text":"70232408 - 2021 - Egg retention of high-latitude sockeye salmon (Oncorhynchus nerka) in the Pilgrim River, Alaska, during the Pacific marine heatwave of 2014–2016","interactions":[],"lastModifiedDate":"2022-06-30T17:06:48.667022","indexId":"70232408","displayToPublicDate":"2021-06-18T11:59:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Egg retention of high-latitude sockeye salmon (<i>Oncorhynchus nerka</i>) in the Pilgrim River, Alaska, during the Pacific marine heatwave of 2014–2016","title":"Egg retention of high-latitude sockeye salmon (Oncorhynchus nerka) in the Pilgrim River, Alaska, during the Pacific marine heatwave of 2014–2016","docAbstract":"<p><span>Ocean and freshwater conditions can influence spawning success of Pacific salmon (</span><i>Oncorhynchus</i><span>&nbsp;spp.) by governing the energy content of fish at the start of and during the spawning migration. Ocean conditions determine the energy stores of fish at the freshwater entry, while freshwater conditions determine how quickly stored energy is depleted as individuals migrate to spawning grounds in natal rivers and lakes. We assessed the occurrence of sockeye salmon (</span><i>Oncorhynchus nerka</i><span>) egg retention (failure to deposit eggs) in a high-latitude (~ 65°N) watershed that has a large, inter-annual variation in the number of returning adults. We also explored relationships between ocean and freshwater conditions with egg retention of female sockeye salmon. The proportion of females with egg retention (&gt; 50 eggs) varied by threefold (12 to 36%) across years (2013 to 2020) and was related to ocean conditions represented by the North Pacific Index (NPI). Egg retention was more common in years with low NPI values (a stronger Aleutian Low) in association with the Pacific marine heatwave of 2014–2016 that disrupted food webs. This initial study contains the first empirical data observing the influence of ocean conditions on egg retention for any Pacific salmon population. The lack of any relationship between egg retention and freshwater temperatures was consistent with water temperatures primarily occurring below thresholds associated with heat stress related mortality (&lt; 18&nbsp;°C). Understanding the amount of egg retention and how environmental drivers influence egg retention within Pacific salmon populations provides insights for managers assessing the number of successful spawners and helps refine escapement-based management efforts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00300-021-02902-8","usgsCitation":"Carey, M.P., von Biela, V.R., Dunker, A., Keith, K.D., Schelske, M., Lean, C., and Zimmerman, C.E., 2021, Egg retention of high-latitude sockeye salmon (Oncorhynchus nerka) in the Pilgrim River, Alaska, during the Pacific marine heatwave of 2014–2016: Polar Biology, v. 44, p. 1643-1654, https://doi.org/10.1007/s00300-021-02902-8.","productDescription":"12 p.","startPage":"1643","endPage":"1654","ipdsId":"IP-120209","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":402767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Pilgrim River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -167,\n              64.5\n            ],\n            [\n              -165,\n              64.5\n            ],\n            [\n              -165,\n              65.25\n            ],\n            [\n              -167,\n              65.25\n            ],\n            [\n              -167,\n              64.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":845449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":845450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunker, Ashley","contributorId":292682,"corporation":false,"usgs":false,"family":"Dunker","given":"Ashley","email":"","affiliations":[{"id":33645,"text":"Norton Sound Fisheries Research & Development","active":true,"usgs":false}],"preferred":false,"id":845451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Kevin D.","contributorId":192846,"corporation":false,"usgs":false,"family":"Keith","given":"Kevin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":845452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schelske, Merlyn","contributorId":192847,"corporation":false,"usgs":false,"family":"Schelske","given":"Merlyn","email":"","affiliations":[],"preferred":false,"id":845453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lean, Charlie","contributorId":221506,"corporation":false,"usgs":false,"family":"Lean","given":"Charlie","affiliations":[{"id":33645,"text":"Norton Sound Fisheries Research & Development","active":true,"usgs":false}],"preferred":false,"id":845454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":845455,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70221701,"text":"70221701 - 2021 - New geochemical tools for investigating resource and energy functions at deep-sea cold seeps using amino-acid δ15N in chemosymbiotic mussels (Bathymodiolus childressi)","interactions":[],"lastModifiedDate":"2021-11-01T15:36:01.701983","indexId":"70221701","displayToPublicDate":"2021-06-18T10:07:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1751,"text":"Geobiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"New geochemical tools for investigating resource and energy functions at deep-sea cold seeps using amino acid δ<sup>15</sup>N in chemosymbiotic mussels (<i>Bathymodiolus childressi</i>)","title":"New geochemical tools for investigating resource and energy functions at deep-sea cold seeps using amino-acid δ15N in chemosymbiotic mussels (Bathymodiolus childressi)","docAbstract":"<p><span>In order to reconstruct the ecosystem structure of chemosynthetic environments in the fossil record, geochemical proxies must be developed. Here, we present a suite of novel compound-specific isotope parameters for tracing chemosynthetic production with a focus on understanding nitrogen dynamics in deep-sea cold seep environments. We examined the chemosymbiotic bivalve&nbsp;</span><i>Bathymodiolus childressi</i><span>&nbsp;from three geographically distinct seep sites on the NE Atlantic Margin and compared isotope data to non-chemosynthetic littoral mussels to test whether water depth, seep activity, and/or mussel bed size are linked to differences in chemosynthetic production. The bulk isotope analysis of carbon (δ</span><sup>13</sup><span>C) and nitrogen (δ</span><sup>15</sup><span>N), and δ</span><sup>15</sup><span>N values of individual amino acids (δ</span><sup>15</sup><span>N</span><sub>AA</sub><span>) in both gill and muscle tissues, as well as δ</span><sup>15</sup><span>N</span><sub>AA-</sub><span>derived parameters including trophic level (TL), baseline δ</span><sup>15</sup><span>N value (δ</span><sup>15</sup><span>N</span><sub>Phe</sub><span>), and a microbial resynthesis index (Σ</span><i>V</i><span>), were used to investigate specific geochemical signatures of chemosynthesis. Our results show that δ</span><sup>15</sup><span>N</span><sub>AA</sub><span>&nbsp;values provide a number of new proxies for relative reliance on chemosynthesis, including TL, ∑V, and both δ</span><sup>15</sup><span>N values and molar percentages (Gly/Glu mol% index) of specific AA. Together, these parameters suggested that relative chemoautotrophy is linked to both degree of venting from seeps and mussel bed size. Finally, we tested a Bayesian mixing model using diagnostic AA δ</span><sup>15</sup><span>N values, showing that percent contribution of chemoautotrophic versus heterotrophic production to seep mussel nutrition can be directly estimated from δ</span><sup>15</sup><span>N</span><sub>AA</sub><span>&nbsp;values. Our results demonstrate that δ</span><sup>15</sup><span>N</span><sub>AA</sub><span>&nbsp;analysis can provide a new set of geochemical tools to better understand mixotrophic ecosystem function and energetics, and suggest extension to the study of ancient chemosynthetic environments in the fossil record.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gbi.12458","usgsCitation":"Vokhshoori, N., McCarthy, M., Close, H., Demopoulos, A., and Prouty, N.G., 2021, New geochemical tools for investigating resource and energy functions at deep-sea cold seeps using amino-acid δ15N in chemosymbiotic mussels (Bathymodiolus childressi): Geobiology, v. 19, no. 6, p. 601-617, https://doi.org/10.1111/gbi.12458.","productDescription":"17 p.","startPage":"601","endPage":"617","ipdsId":"IP-121092","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":386867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Vokhshoori, Natasha","contributorId":260681,"corporation":false,"usgs":false,"family":"Vokhshoori","given":"Natasha","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":818469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Matt","contributorId":260682,"corporation":false,"usgs":false,"family":"McCarthy","given":"Matt","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":818470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Close, Hilary","contributorId":199931,"corporation":false,"usgs":false,"family":"Close","given":"Hilary","affiliations":[],"preferred":false,"id":818471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":222192,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":818472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70221695,"text":"70221695 - 2021 - Nutrient limitation of algae and macrophytes in streams: Integrating laboratory bioassays, field experiments, and field data","interactions":[],"lastModifiedDate":"2021-06-29T14:31:23.162807","indexId":"70221695","displayToPublicDate":"2021-06-18T09:13:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient limitation of algae and macrophytes in streams: Integrating laboratory bioassays, field experiments, and field data","docAbstract":"<p><span>Successful eutrophication control strategies need to address the limiting nutrient. We conducted a battery of laboratory and in situ nutrient-limitation tests with waters collected from 9 streams in an agricultural region of the upper Snake River basin, Idaho, USA. Laboratory tests used the green alga&nbsp;</span><i>Raphidocelis subcapitata</i><span>, the macrophyte&nbsp;</span><i>Lemna minor</i><span>&nbsp;(duckweed) with native epiphytes, and in situ nutrient-limitation tests of periphyton were conducted with nutrient-diffusing substrates (NDS). In the duckweed/epiphyte test, P saturation occurred when concentrations reached about 100 μg/L. Chlorophyll&nbsp;</span><i>a</i><span>&nbsp;in epiphytic periphyton was stimulated at low P additions and by about 100 μg/L P, epiphytic periphyton chlorophyll&nbsp;</span><i>a</i><span>&nbsp;appeared to be P saturated. Both duckweed and epiphyte response patterns with total N were weaker but suggested a growth stimulation threshold for duckweed when total N concentrations exceeded about 300 μg/L and approached saturation at the highest N concentration tested, 1300 μg/L. Nutrient uptake by epiphytes and macrophytes removed up to 70 and 90% of the N and P, respectively. The green algae and the NDS nutrient-limitation test results were mostly congruent; N and P co-limitation was the most frequent result for both test series. Across all tests, when N:P molar ratios &gt;30 (mass ratios &gt;14), algae or macrophyte growth was P limited; N limitation was observed at N:P molar ratios up to 23 (mass ratios up to 10). A comparison of ambient periphyton chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentrations with chlorophyll&nbsp;</span><i>a</i><span>&nbsp;accrued on control artificial substrates in N-limited streams, suggests that total N concentrations associated with a periphyton chlorophyll&nbsp;</span><i>a</i><span>&nbsp;benchmark for desirable or undesirable conditions for recreation would be about 600 to 1000 μg/L total N, respectively. For P-limited streams, the corresponding benchmark concentrations were about 50 to 90 μg/L total P, respectively. Our approach of integrating controlled experiments and matched biomonitoring field surveys was cost effective and more informative than either approach alone.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0252904","usgsCitation":"Mebane, C.A., Ray, A.M., and Marcarelli, A.M., 2021, Nutrient limitation of algae and macrophytes in streams: Integrating laboratory bioassays, field experiments, and field data: PLoS ONE, v. 16, no. 6, e0252904, 27 p., https://doi.org/10.1371/journal.pone.0252904.","productDescription":"e0252904, 27 p.","ipdsId":"IP-127847","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":451823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0252904","text":"Publisher Index Page"},{"id":386850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Big Cottonwood Creek, Stalker Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.98040771484375,\n              42.176126260952934\n            ],\n            [\n              -113.76480102539062,\n              42.176126260952934\n            ],\n            [\n              -113.76480102539062,\n              42.33063116562984\n            ],\n            [\n              -113.98040771484375,\n              42.33063116562984\n            ],\n            [\n              -113.98040771484375,\n              42.176126260952934\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.16468620300293,\n              43.311127198613335\n            ],\n            [\n              -114.15696144104004,\n              43.320744323395154\n            ],\n            [\n              -114.16399955749512,\n              43.32218051659263\n            ],\n            [\n              -114.17404174804688,\n              43.31118965238512\n            ],\n            [\n              -114.18365478515625,\n              43.316560436671395\n            ],\n            [\n              -114.19017791748047,\n              43.32823713177707\n            ],\n            [\n              -114.20339584350586,\n              43.34365692013493\n            ],\n            [\n              -114.21223640441895,\n              43.33966188522517\n            ],\n            [\n              -114.20125007629395,\n              43.328986361785745\n            ],\n            [\n              -114.18837547302246,\n              43.313625299426235\n            ],\n            [\n              -114.18022155761719,\n              43.307005107782196\n            ],\n            [\n              -114.17326927185059,\n              43.306755275110774\n            ],\n            [\n              -114.16468620300293,\n              43.311127198613335\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":818449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marcarelli, Amy M 0000-0002-4175-9211","orcid":"https://orcid.org/0000-0002-4175-9211","contributorId":257363,"corporation":false,"usgs":false,"family":"Marcarelli","given":"Amy","email":"","middleInitial":"M","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":818450,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70221662,"text":"70221662 - 2021 - Land-based sediment sources and transport to southwest Puerto Rico coral reefs after Hurricane Maria, May 2017 to June 2018","interactions":[],"lastModifiedDate":"2021-06-28T13:22:06.601915","indexId":"70221662","displayToPublicDate":"2021-06-18T08:16:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Land-based sediment sources and transport to southwest Puerto Rico coral reefs after Hurricane Maria, May 2017 to June 2018","docAbstract":"<p><span>The effects of runoff from land on nearshore ecosystems, including&nbsp;coral reef&nbsp;communities, are influenced by both sediment supply and removal by coastal processes. Integrated studies across the land-sea interface describing sources and transport of terrestrial sediment and its nearshore fate allow reef protection initiatives to target key onshore and offshore areas. Geochemical signatures in the fine fraction of terrestrial sediment from watersheds in southwest Puerto Rico were determined by multivariate principal component analysis and used to identify terrestrial sources of sediment runoff to nearshore coral reefs. Sediment settling out of suspension at reefs was collected at approximately 2 month-long intervals in bottom-mounted&nbsp;sediment traps&nbsp;from May 2017 to June 2018, a period that included Hurricanes Irma and Maria. Bulk sediment accumulation rates in traps exceeded a 10&nbsp;mg/cm</span><sup>2</sup><span>/d threshold found to stress corals at 5 of 7 reef sites throughout the 13 month-long study. Geochemical signatures showed that watersheds 10s&nbsp;km to the east were a predominant, year-round source of fine sediment to reefs offshore of Guánica Bay and could have introduced sediment-bound contaminants due to a higher degree of industrialization and urbanization than the local watershed. Sediment runoff from the local watershed appeared to be constrained to a&nbsp;narrow band&nbsp;close to shore. During the 2.5 months after Hurricanes Irma and Maria, bulk sediment accumulation rates increased substantially and fine sediment geochemical signatures were indicative of predominantly distal sources, except outside of the mouth of Guánica Bay, which was strongly impacted by local runoff. Mass wasting, sediment runoff, and coastal&nbsp;turbidity&nbsp;persisted for months after Hurricane Maria and could account for the appearance of a small fraction of geochemical variance from a distal sediment source that appeared in reef traps 4 months post-hurricane and persisted through the end of the study 9 months post-hurricane. Sediment geochemical sourcing in temporally resolved records from sediment traps showed how landscape-scale changes after a major hurricane affected both near-term and long-term sediment delivery to reef communities. In addition, the importance of fine sediment&nbsp;advection&nbsp;from distal sources indicates that successful reduction of land-based pressures on nearshore ecosystems will require cross-jurisdictional strategies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2021.107476","usgsCitation":"Takesue, R.K., Sherman, C.E., Reyes, A.O., Cheriton, O.M., Ramirez, N.I., Viqueira Rios, R., and Storlazzi, C.D., 2021, Land-based sediment sources and transport to southwest Puerto Rico coral reefs after Hurricane Maria, May 2017 to June 2018: Estuarine, Coastal and Shelf Science, v. 259, 107476, 12 p., https://doi.org/10.1016/j.ecss.2021.107476.","productDescription":"107476, 12 p.","ipdsId":"IP-113468","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2021.107476","text":"Publisher Index Page"},{"id":386790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.16354370117188,\n              17.770920015568638\n            ],\n            [\n              -66.1761474609375,\n              17.770920015568638\n            ],\n            [\n              -66.1761474609375,\n              18.135411517108345\n            ],\n            [\n              -67.16354370117188,\n              18.135411517108345\n            ],\n            [\n              -67.16354370117188,\n              17.770920015568638\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherman, Clark E. 0000-0003-0758-7900","orcid":"https://orcid.org/0000-0003-0758-7900","contributorId":259180,"corporation":false,"usgs":false,"family":"Sherman","given":"Clark","middleInitial":"E.","affiliations":[{"id":34129,"text":"University of Puerto Rico Mayaguez","active":true,"usgs":false}],"preferred":false,"id":818371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reyes, Aaron O.","contributorId":260655,"corporation":false,"usgs":false,"family":"Reyes","given":"Aaron","email":"","middleInitial":"O.","affiliations":[{"id":52630,"text":"Westfield State University","active":true,"usgs":false}],"preferred":false,"id":818372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramirez, Natalia I.","contributorId":260656,"corporation":false,"usgs":false,"family":"Ramirez","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":52631,"text":"University of Puerto Rico at Mayaguez","active":true,"usgs":false}],"preferred":false,"id":818374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Viqueira Rios, Roberto","contributorId":260657,"corporation":false,"usgs":false,"family":"Viqueira Rios","given":"Roberto","email":"","affiliations":[{"id":52632,"text":"Protectores de Cuencas, Inc.","active":true,"usgs":false}],"preferred":false,"id":818375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818376,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70222520,"text":"70222520 - 2021 - When hazard avoidance is not an option: Lessons learned from monitoring the postdisaster Oso landslide, USA","interactions":[],"lastModifiedDate":"2021-09-14T16:42:15.893843","indexId":"70222520","displayToPublicDate":"2021-06-18T07:36:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"When hazard avoidance is not an option: Lessons learned from monitoring the postdisaster Oso landslide, USA","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>On 22 March 2014, a massive, catastrophic landslide occurred near Oso, Washington, USA, sweeping more than 1 km across the adjacent valley flats and killing 43 people. For the following 5 weeks, hundreds of workers engaged in an exhaustive search, rescue, and recovery effort directly in the landslide runout path. These workers could not avoid the risks posed by additional large-scale slope collapses. In an effort to ensure worker safety, multiple agencies cooperated to swiftly deploy a monitoring and alerting system consisting of sensors, automated data processing and web-based display, along with defined communication protocols and clear calls to action for emergency management and search personnel. Guided by the principle that an accelerating landslide poses a greater threat than a steadily moving or stationary mass, the system was designed to detect ground motion and vibration using complementary monitoring techniques. Near real-time information was provided by continuous GPS, seismometers/geophones, and extensometers. This information was augmented by repeat-assessment techniques such as terrestrial and aerial laser scanning and time-lapse photography. Fortunately, no major additional landsliding occurred. However,&nbsp;we did detect small headscarp failures as well as slow movement of the remaining landslide mass with the monitoring system. This was an exceptional response situation and the lessons learned are applicable to other landslide disaster crises. They underscore the need for cogent landslide expertise and ready-to-deploy monitoring equipment, the value of using redundant monitoring techniques with distinct goals, the benefit of clearly defined communication protocols, and the importance of continued research into forecasting landslide behavior to allow timely warning.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10346-021-01686-6","usgsCitation":"Reid, M.E., Godt, J.W., LaHusen, R.G., Slaughter, S.L., Badger, T.C., Collins, B.D., Schulz, W.H., Baum, R.L., Coe, J.A., Harp, E.L., Schmidt, K.M., Iverson, R.M., Smith, J., Haugerud, R.A., and George, D.L., 2021, When hazard avoidance is not an option: Lessons learned from monitoring the postdisaster Oso landslide, USA: Landslides, v. 18, p. 2993-3009, https://doi.org/10.1007/s10346-021-01686-6.","productDescription":"17 p.","startPage":"2993","endPage":"3009","ipdsId":"IP-121593","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":451827,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10346-021-01686-6","text":"Publisher Index Page"},{"id":436301,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TTJFGU","text":"USGS data release","linkHelpText":"GPS monitoring data from spider units on the post-disaster 2014 Oso landslide, Snohomish County, Washington"},{"id":387620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.01416015625,\n              47.702368466573716\n            ],\n            [\n              -121.13525390625,\n              47.702368466573716\n            ],\n            [\n              -121.13525390625,\n              48.180738507303836\n            ],\n            [\n              -122.01416015625,\n              48.180738507303836\n            ],\n            [\n              -122.01416015625,\n              47.702368466573716\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":820436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaHusen, Richard G 0000-0002-9352-8837","orcid":"https://orcid.org/0000-0002-9352-8837","contributorId":261703,"corporation":false,"usgs":false,"family":"LaHusen","given":"Richard","email":"","middleInitial":"G","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":820438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slaughter, Stephen L 0000-0002-4322-3330","orcid":"https://orcid.org/0000-0002-4322-3330","contributorId":261704,"corporation":false,"usgs":false,"family":"Slaughter","given":"Stephen","email":"","middleInitial":"L","affiliations":[{"id":37093,"text":"Washington State Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":820439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Badger, Thomas C.","contributorId":140578,"corporation":false,"usgs":false,"family":"Badger","given":"Thomas","email":"","middleInitial":"C.","affiliations":[{"id":13534,"text":"Washington State Dept. of Transporation, Geotechnical Office","active":true,"usgs":false}],"preferred":false,"id":820440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harp, Edwin L","contributorId":261705,"corporation":false,"usgs":false,"family":"Harp","given":"Edwin","email":"","middleInitial":"L","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":820445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":820447,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Joel B. 0000-0001-7219-7875","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":242670,"corporation":false,"usgs":false,"family":"Smith","given":"Joel B.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":820448,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Haugerud, Ralph A. 0000-0001-7302-4351","orcid":"https://orcid.org/0000-0001-7302-4351","contributorId":204669,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","email":"","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820449,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":820450,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70221753,"text":"70221753 - 2021 - Borreliosis transmission from ticks to humans associated with desert tortoise burrows: Examples of tick-borne relapsing fever in the Mojave Desert","interactions":[],"lastModifiedDate":"2021-08-17T15:15:09.428007","indexId":"70221753","displayToPublicDate":"2021-06-18T07:30:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Borreliosis transmission from ticks to humans associated with desert tortoise burrows: Examples of tick-borne relapsing fever in the Mojave Desert","docAbstract":"<div class=\"col-sm-8 col-md-8 article__content\"><div class=\"article__body \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Ticks transmit pathogens and parasitize wildlife in turn causing zoonotic diseases in many ecosystems. Argasid ticks, such as<span>&nbsp;</span><i>Ornithodoros</i><span>&nbsp;</span>spp., harbor and transmit<span>&nbsp;</span><i>Borrelia</i><span>&nbsp;</span>spp., resulting in tick-borne relapsing fever (TBRF) in people. In the western United States, TBRF is typically associated with the bite of an infected<span>&nbsp;</span><i>Ornithodoros hermsi</i><span>&nbsp;</span>tick found in habitats at high elevations (&gt;1500 ft). This report describes the first TBRF cases in people in the Mojave Desert (Clark County, NV). Individuals documented in these case studies were exposed to<span>&nbsp;</span><i>Ornithodoros</i><span>&nbsp;</span>ticks during excavation of soil burrows associated with Mojave Desert tortoises (<i>Gopherus agassizii</i>), with bacteria from one of the human case's blood sample genetically matching to<span>&nbsp;</span><i>Borrelia turicatae</i><span>&nbsp;</span>as determined by quantitative PCR and sequencing. Our findings should serve as a precaution to individuals working with tortoises or animal burrows, or those in contact with<span>&nbsp;</span><i>Ornithodoros</i><span>&nbsp;</span>ticks in this region.</p></div></div></div></div>","language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/vbz.2021.0005","usgsCitation":"Bechtel, M., Drake, K.K., Esque, T., Nieto, N., Foster, J.T., and Teglas, M., 2021, Borreliosis transmission from ticks to humans associated with desert tortoise burrows: Examples of tick-borne relapsing fever in the Mojave Desert: Vector-Borne and Zoonotic Diseases, v. 21, no. 8, p. 635-637, https://doi.org/10.1089/vbz.2021.0005.","productDescription":"3 p.","startPage":"635","endPage":"637","ipdsId":"IP-129163","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":386918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.630859375,\n              34.66935854524543\n            ],\n            [\n              -113.93920898437499,\n              34.66935854524543\n            ],\n            [\n              -113.93920898437499,\n              36.465471886798134\n            ],\n            [\n              -116.630859375,\n              36.465471886798134\n            ],\n            [\n              -116.630859375,\n              34.66935854524543\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bechtel, Molly J","contributorId":260732,"corporation":false,"usgs":false,"family":"Bechtel","given":"Molly J","affiliations":[{"id":52661,"text":"Northern Arizona University; Pathogen and Microbiome Institute","active":true,"usgs":false}],"preferred":false,"id":818621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, K. Kristina 0000-0003-0711-7634 kdrake@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-7634","contributorId":3799,"corporation":false,"usgs":true,"family":"Drake","given":"K.","email":"kdrake@usgs.gov","middleInitial":"Kristina","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":818622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":818623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nieto, Nathan C","contributorId":260733,"corporation":false,"usgs":false,"family":"Nieto","given":"Nathan C","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":818624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, Jeffrey T.","contributorId":177905,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":818625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Teglas, Mike B","contributorId":260734,"corporation":false,"usgs":false,"family":"Teglas","given":"Mike B","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":818626,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230947,"text":"70230947 - 2021 - Regional occurrence of aqueous tungsten and relations with antimony, arsenic and molybdenum concentrations (Sardinia, Italy)","interactions":[],"lastModifiedDate":"2022-04-29T12:18:41.756084","indexId":"70230947","displayToPublicDate":"2021-06-18T07:15:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Regional occurrence of aqueous tungsten and relations with antimony, arsenic and molybdenum concentrations (Sardinia, Italy)","docAbstract":"<p id=\"sp0075\"><a class=\"topic-link\" title=\"Learn more about Tungsten from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/tungsten\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/tungsten\">T</a>ungsten<span>&nbsp;</span>(W) is rarely found in natural waters, yet it can be introduced into the food chain and cause potentially toxic effects. Uptake of W by plants and vegetables, or trace presence of W in drinking water are possible vectors for ingestion of W by humans. The latter is recognized as a possible cause of lymphatic leukemia. Increased uses of W might result in a degradation of water resources, with attendant adverse effects on biota and human health. Therefore, this study was aimed at investigating regional occurrence and speciation of W in aquatic systems in Sardinia, Italy, factors affecting W mobility and possible relations with other oxyanion-forming trace elements such as Sb, As and Mo. Although our results are specifically from Sardinia, the implications are broader and should prompt future studies in other areas with known high W concentrations.</p><p id=\"sp0080\"><span>A total of 350 sample sites are reported here, including surface waters, groundwaters,&nbsp;mine drainages, thermal waters and local seawater. The waters were analyzed for major and trace components, including W, Sb, As and Mo. The waters showed a variety of major chemical compositions and W concentrations. High concentrations of W were found in some mine waters and drainages from slag heaps, with W, Sb and As up to 140, 5000 and 800&nbsp;μg&nbsp;L</span><sup>−1</sup><span>, respectively. The highest concentrations of W occurred under slightly alkaline pH and oxygenated conditions, and were likely due to the dissolution of&nbsp;scheelite&nbsp;[CaWO</span><sub>4</sub>] hosted in materials with which the water came into contact. High W concentrations also were observed in thermal waters, under alkaline pH and reducing conditions, and sometimes coincided with relatively high concentrations either of As or Mo.</p><p id=\"sp0085\"><span>Previous studies of W&nbsp;geochemistry&nbsp;have focused on WO</span><sub>4</sub><sup>2−</sup><span>&nbsp;</span>as the major dissolved form of W. For this study, we have augmented the thermodynamic database in PHREEQC to include possible formation of many other W-bearing complexes gleaned from the literature. The results of the speciation calculations with the newly added complexation reactions shows that the neutral species CaWO<sub>4</sub>° and MgWO<sub>4</sub>° are particularly dominant in most W-bearing waters and lead to undersaturation with respect to scheelite and other W-bearing minerals.</p><p id=\"sp0090\">Assessing W contamination in water systems and establishing W limits in drinking water may prevent potential adverse effects of W on human and ecosystem health.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2021.106846","usgsCitation":"Cidu, R., Biddau, R., Frau, F., Wanty, R., and Naitza, S., 2021, Regional occurrence of aqueous tungsten and relations with antimony, arsenic and molybdenum concentrations (Sardinia, Italy): Journal of Geochemical Exploration, v. 229, 106846, 16 p., https://doi.org/10.1016/j.gexplo.2021.106846.","productDescription":"106846, 16 p.","ipdsId":"IP-127822","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":399886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Sardinia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              7.943115234375001,\n              38.865374851611634\n            ],\n            [\n              9.920654296875,\n              38.865374851611634\n            ],\n            [\n              9.920654296875,\n              41.31082388091818\n            ],\n            [\n              7.943115234375001,\n              41.31082388091818\n            ],\n            [\n              7.943115234375001,\n              38.865374851611634\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"229","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cidu, Rosa","contributorId":290729,"corporation":false,"usgs":false,"family":"Cidu","given":"Rosa","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":841689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biddau, Riccardo","contributorId":290730,"corporation":false,"usgs":false,"family":"Biddau","given":"Riccardo","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":841690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frau, Franco","contributorId":290731,"corporation":false,"usgs":false,"family":"Frau","given":"Franco","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":841691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wanty, Richard B. 0000-0002-2063-6423","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":209899,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","middleInitial":"B.","affiliations":[],"preferred":true,"id":841692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naitza, Stefano","contributorId":290732,"corporation":false,"usgs":false,"family":"Naitza","given":"Stefano","email":"","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":841693,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229497,"text":"70229497 - 2021 - The marine terraces of Santa Cruz Island, California: Implications for glacial isostatic adjustment models of last-interglacial sea-level history","interactions":[],"lastModifiedDate":"2022-03-09T12:47:41.369958","indexId":"70229497","displayToPublicDate":"2021-06-18T06:43:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"The marine terraces of Santa Cruz Island, California: Implications for glacial isostatic adjustment models of last-interglacial sea-level history","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0140\">Glacial isostatic adjustment (GIA) models hypothesize that along coastal California, last interglacial (LIG, broadly from ~130 to ~115 ka) sea level could have been as high as +11 m to +13 m, relative to present, substantially higher than the commonly estimated elevation of +6 m. Areas with low uplift rates can test whether such models are valid. Marine terraces on Santa Cruz Island have previously been reported to occur at low (&lt;10 m) elevations, but ages of many such localities are not known. Using lidar imagery as a base, marine terraces on Santa Cruz Island were newly mapped, elevations were measured, fossils were collected for U-series dating (corals), strontium isotope compositions and amino acid geochronology (mollusks), and paleozoogeography (all taxa). Sr isotope compositions of mollusks from the highest of three marine terraces give ages of ~2.5 Ma to 1.9 Ma, along with Pliocene ages, from shells interpreted to be reworked. U-series ages of corals from the western part of the island indicate that low-elevation terraces north of the Santa Cruz Island fault correlate to the LIG. Where corals are lacking, amino acid ratios and faunal aspects support terrace correlation to the LIG high stand of sea. Elevations of most terrace localities north of the east-west trending Santa Cruz Island fault, in both the western and eastern parts of the island, range from 5.75 m to 8 m above sea level, well below the modeled paleo-sea-level range. Subsidence is ruled out as a mechanism for explaining the lower-than-modeled elevations, because higher-elevation terraces are present along much of the Santa Cruz Island coast north of the fault, indicating long-term tectonic uplift. The low elevations of the LIG terrace fragments are, however, consistent with a low rate of uplift derived from the higher, ~2.5–1.9 Ma terrace. A number of other localities on the Pacific Coast, also dated to the LIG, have marine terrace elevations below the modeled level. GIA models may have overestimated last interglacial sea level by a substantial amount and need to be revised if used for forecasts for future sea-level rise.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2021.107826","usgsCitation":"Muhs, D.R., Schumann, R.R., Groves, L.T., Simmons, K., and Florian, C.R., 2021, The marine terraces of Santa Cruz Island, California: Implications for glacial isostatic adjustment models of last-interglacial sea-level history: Geomorphology, v. 389, 107826, 34 p., https://doi.org/10.1016/j.geomorph.2021.107826.","productDescription":"107826, 34 p.","ipdsId":"IP-120857","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":451831,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2021.107826","text":"Publisher Index Page"},{"id":396896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.97619628906249,\n              33.9285481685662\n            ],\n            [\n              -119.49691772460938,\n              33.9285481685662\n            ],\n            [\n              -119.49691772460938,\n              34.110667538758996\n            ],\n            [\n              -119.97619628906249,\n              34.110667538758996\n            ],\n            [\n              -119.97619628906249,\n              33.9285481685662\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"389","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":837623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":837624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groves, Lindsey T.","contributorId":213427,"corporation":false,"usgs":false,"family":"Groves","given":"Lindsey","email":"","middleInitial":"T.","affiliations":[{"id":12725,"text":"Natural History Museum of Los Angeles County","active":true,"usgs":false}],"preferred":false,"id":837625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmons, Kathleen R. 0000-0002-7920-094X","orcid":"https://orcid.org/0000-0002-7920-094X","contributorId":229460,"corporation":false,"usgs":false,"family":"Simmons","given":"Kathleen R.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":837626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Florian, Christopher R.","contributorId":288289,"corporation":false,"usgs":false,"family":"Florian","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":837627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70221492,"text":"70221492 - 2021 - Physiomorphic transformation in extreme endurance migrants: Revisiting the case of bar-tailed godwits preparing for trans-pacific flights","interactions":[],"lastModifiedDate":"2021-06-18T20:44:34.055777","indexId":"70221492","displayToPublicDate":"2021-06-17T15:40:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Physiomorphic transformation in extreme endurance migrants: Revisiting the case of bar-tailed godwits preparing for trans-pacific flights","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">In a 1998 paper entitled “Guts don’t fly: small digestive organs in obese bar-tailed godwits,”<span>&nbsp;</span>Piersma and Gill (1998)<span>&nbsp;</span>showed that the digestive organs were tiny and the fat loads huge in individuals suspected of embarking on a non-stop flight from Alaska to New Zealand. It was suggested that prior to migratory departure, these godwits would shrink the digestive organs used during fuel deposition and boost the size and capacity of exercise organs to optimize flight performance. Here we document the verity of the proposed physiomorphic changes by comparing organ sizes and body composition of bar-tailed godwits<span>&nbsp;</span><i>Limosa lapponica baueri</i><span>&nbsp;</span>collected in modesty midway during their fueling period (mid-September; fueling,<span>&nbsp;</span><i>n</i><span>&nbsp;</span>= 7) with the previously published data for godwits that had just departed on their trans-Pacific flight (October 19; flying,<span>&nbsp;</span><i>n</i><span>&nbsp;</span>= 9). Mean total body masses for the two groups were nearly identical, but nearly half of the body mass of fueling godwits consisted of water, while fat constituted over half of total body mass of flying godwits. The two groups also differed in their fat-free mass components. The heart and flight muscles were heavier in fueling godwits, but these body components constituted a relatively greater fraction of the fat-free mass in flying godwits. In contrast, organs related to digestion and homeostasis were heavier in fueling godwits, and most of these organ groups were also relatively larger in fueling godwits compared to flying godwits. These results reflect the functional importance of organ and muscle groups related to energy acquisition in fueling godwits and the consequences of flight-related exertion in flying godwits. The extreme physiomorphic changes apparently occurred over a short time window (≤1 month). We conclude that the inferences made on the basis of the 1998 paper were correct. The cues and stimuli which moderate these changes remain to be studied.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2021.685764","usgsCitation":"Piersma, T., Gill, R., and Ruthrauff, D.R., 2021, Physiomorphic transformation in extreme endurance migrants: Revisiting the case of bar-tailed godwits preparing for trans-pacific flights: Frontiers in Ecology and Evolution, v. 9, 685764, 8 p., https://doi.org/10.3389/fevo.2021.685764.","productDescription":"685764, 8 p.","ipdsId":"IP-127977","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":451834,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2021.685764","text":"Publisher Index Page"},{"id":436302,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GIQ8J2","text":"USGS data release","linkHelpText":"Body Composition of Bar-tailed Godwits (Limosa lapponica)"},{"id":386592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Piersma, Theunis 0000-0001-9668-466X","orcid":"https://orcid.org/0000-0001-9668-466X","contributorId":203123,"corporation":false,"usgs":false,"family":"Piersma","given":"Theunis","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":817851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":817852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":817853,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70224953,"text":"70224953 - 2021 - Assessment of a conservative mixing model for the evaluation of constituent behavior below river confluences, Elqui River Basin, Chile","interactions":[],"lastModifiedDate":"2021-10-11T16:22:31.831914","indexId":"70224953","displayToPublicDate":"2021-06-17T11:17:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of a conservative mixing model for the evaluation of constituent behavior below river confluences, Elqui River Basin, Chile","docAbstract":"<p><span>Fate and transport modeling of water-borne contaminants is a data demanding and costly endeavor, requiring considerable expes such, it becomes important to know when a complex modeling approach is required, and when a simpler approach is adequate. This is the main objective herein, where a conservative mixing model is used to characterize the transport of As, Cu, Fe, and SO</span><sub>4</sub><span>. The study area is divided into three sectors, corresponding to the upstream, middle, and downstream portions of the Elqui River Basin, Chile. In Sector 1, acidic conditions result in the conservative transport of constituents that are sourced from acid rock drainage. In Sector 2, pH increases and transport is influenced by pH-dependent reactions and the subsequent settling of the particulate phase. In Sector 3, there are no additional constituent inputs, and the constituents are conservatively transported downstream. Conservative transport within Sector 3 is confirmed through the development of a regression model that provides monthly estimates of SO</span><sub>4</sub><span>&nbsp;load. Whereas SO</span><sub>4</sub><span>&nbsp;and Cu concentrations are adequately approximated by the conservative mixing model, estimates of As and Fe concentrations exhibit larger errors, due to the more reactive behavior of these constituents. The fact that the simple, conservative mixing model describes SO</span><sub>4</sub><span>&nbsp;transport is a valuable result, as this constituent is known to be one of the primary indicators of mining-related contamination in rivers. The approach could also be a useful starting point for further evaluations of the effects of climate change and hydrological variability on the water quality of rivers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3823","usgsCitation":"Rossi, C., Oyarzun, J., Pasten, P., Runkel, R.L., Núñez, J., Duhalde, D., Maturana, H., Rojas, E., Arumí, J., Castillo, D., and Oyarzun, R., 2021, Assessment of a conservative mixing model for the evaluation of constituent behavior below river confluences, Elqui River Basin, Chile: River Research and Applications, v. 37, no. 7, p. 967-978, https://doi.org/10.1002/rra.3823.","productDescription":"12 p.","startPage":"967","endPage":"978","ipdsId":"IP-117538","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":390393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Elqui River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.4605712890625,\n              -30.741835717889778\n            ],\n            [\n              -68.8348388671875,\n              -30.741835717889778\n            ],\n            [\n              -68.8348388671875,\n              -29.176145182559758\n            ],\n            [\n              -71.4605712890625,\n              -29.176145182559758\n            ],\n            [\n              -71.4605712890625,\n              -30.741835717889778\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Rossi, Catalina","contributorId":267243,"corporation":false,"usgs":false,"family":"Rossi","given":"Catalina","email":"","affiliations":[{"id":55453,"text":"U. La Serena","active":true,"usgs":false}],"preferred":false,"id":824827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oyarzun, Jorge","contributorId":267244,"corporation":false,"usgs":false,"family":"Oyarzun","given":"Jorge","email":"","affiliations":[{"id":55453,"text":"U. La Serena","active":true,"usgs":false}],"preferred":false,"id":824828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pasten, Pablo","contributorId":267245,"corporation":false,"usgs":false,"family":"Pasten","given":"Pablo","affiliations":[{"id":55454,"text":"Pontificia Universidad Católica","active":true,"usgs":false}],"preferred":false,"id":824829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Núñez, Jorge","contributorId":267246,"corporation":false,"usgs":false,"family":"Núñez","given":"Jorge","affiliations":[{"id":55453,"text":"U. La Serena","active":true,"usgs":false}],"preferred":false,"id":824831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duhalde, Denisse","contributorId":267247,"corporation":false,"usgs":false,"family":"Duhalde","given":"Denisse","email":"","affiliations":[{"id":55453,"text":"U. La Serena","active":true,"usgs":false}],"preferred":false,"id":824832,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maturana, Hugo","contributorId":267248,"corporation":false,"usgs":false,"family":"Maturana","given":"Hugo","email":"","affiliations":[{"id":27795,"text":"Universidad Católica del Norte","active":true,"usgs":false}],"preferred":false,"id":824833,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rojas, Eduardo","contributorId":267249,"corporation":false,"usgs":false,"family":"Rojas","given":"Eduardo","email":"","affiliations":[{"id":55453,"text":"U. La Serena","active":true,"usgs":false}],"preferred":false,"id":824834,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arumí, José L.","contributorId":267250,"corporation":false,"usgs":false,"family":"Arumí","given":"José L.","affiliations":[{"id":49667,"text":"Universidad de Concepción","active":true,"usgs":false}],"preferred":false,"id":824835,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Castillo, Daniela","contributorId":267251,"corporation":false,"usgs":false,"family":"Castillo","given":"Daniela","email":"","affiliations":[{"id":55455,"text":"Universidad de La Serena","active":true,"usgs":false}],"preferred":false,"id":824837,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oyarzun, Ricardo","contributorId":267252,"corporation":false,"usgs":false,"family":"Oyarzun","given":"Ricardo","email":"","affiliations":[{"id":55455,"text":"Universidad de La Serena","active":true,"usgs":false}],"preferred":false,"id":824838,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70223276,"text":"70223276 - 2021 - Prioritizing restoration areas to conserve multiple sagebrush-associated wildlife species","interactions":[],"lastModifiedDate":"2021-08-20T12:01:22.603183","indexId":"70223276","displayToPublicDate":"2021-06-17T10:24:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing restoration areas to conserve multiple sagebrush-associated wildlife species","docAbstract":"<p><span>Strategic restoration of altered habitat is one method for addressing worldwide biodiversity declines. Within the sagebrush&nbsp;steppe&nbsp;of western North America, habitat degradation has been linked to declines in many species, making restoration a priority for managers; however, limited funding, spatiotemporal variation in restoration success, and the need to manage for diverse wildlife species make decision-making regarding restoration actions challenging. To address the challenge of spatial conservation prioritization, we developed the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET). This decision support tool utilizes the&nbsp;</span><i>prioritizr</i><span>&nbsp;package in program R and an integer linear programming algorithm to select parcels representing both high biodiversity value and high probability of restoration success. We tested PReSET on a sagebrush steppe system within southwestern Wyoming using distributional data for six species with diverse life histories and a spatial layer of predicted sagebrush recovery times to identify restoration targets at both broad and local scales. While the broad-scale portion of our tool outputs can inform policy, the local-scale results can be applied directly to on-the-ground restoration. We identified restoration priority areas with greater precision than existing spatial prioritizations and incorporated range differences among species. We noted&nbsp;tradeoffs, including that restoring for habitat connectivity may require restoration actions in areas with lower probability of success. Future applications of PReSET will draw from emerging datasets, including spatially-varying economic costs of restoration, animal movement data, and additional species, to further improve our ability to target effective sagebrush restoration.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109212","usgsCitation":"Duchardt, C.J., Monroe, A., Heinrichs, J.A., O’Donnell, M.S., Edmunds, D.R., and Aldridge, C.L., 2021, Prioritizing restoration areas to conserve multiple sagebrush-associated wildlife species: Biological Conservation, v. 260, 109212, 12 p., https://doi.org/10.1016/j.biocon.2021.109212.","productDescription":"109212, 12 p.","ipdsId":"IP-126263","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451836,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2021.109212","text":"Publisher Index Page"},{"id":436303,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VJXJNY","text":"USGS data release","linkHelpText":"Spatial layers generated by the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) applied in Southern Wyoming"},{"id":388154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Wyoming Landscape Conservation Initiative","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.083984375,\n              41.07935114946899\n            ],\n            [\n              -106.083984375,\n              42.19596877629178\n            ],\n            [\n              -107.16064453125,\n              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0000-0003-4563-0199","orcid":"https://orcid.org/0000-0003-4563-0199","contributorId":264471,"corporation":false,"usgs":true,"family":"Duchardt","given":"Courtney","email":"","middleInitial":"Jean","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034 jheinrichs@usgs.gov","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":193742,"corporation":false,"usgs":true,"family":"Heinrichs","given":"Julie","email":"jheinrichs@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":821573,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70221586,"text":"70221586 - 2021 - Enhanced terrestrial runoff during Oceanic Anoxic Event 2 on the North Carolina Coastal Plain, USA","interactions":[],"lastModifiedDate":"2021-06-24T14:41:03.659695","indexId":"70221586","displayToPublicDate":"2021-06-17T09:29:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced terrestrial runoff during Oceanic Anoxic Event 2 on the North Carolina Coastal Plain, USA","docAbstract":"<p><span>A global increase in the strength of the hydrologic cycle drove an increase in the flux of terrigenous sediments into the ocean during the Cenomanian–Turonian Oceanic Anoxic Event&nbsp;2 (OAE2) and was an important mechanism driving nutrient enrichment and thus organic carbon burial. This global change is primarily known from isotopic records, but global average data do not tell us anything about changes at any particular location. Reconstructions of local terrigenous flux can help us understand the role of regional shifts in precipitation in driving these global trends. The proto-North Atlantic basin was one of the epicenters of enhanced organic carbon burial during OAE2, so constraining terrigenous flux is particularly important in this region; however, few local records exist. Here, we present two new OAE2 records from the Atlantic Coastal Plain of North Carolina, USA, recognized with calcareous nannoplankton biostratigraphy and organic carbon isotopes. We use carbon </span><span class=\"inline-formula\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M1&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mo>/</mo></math>\"><span id=\"M1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\">/</span></span></span></span></span></span><span> nitrogen ratios to constrain the relative contribution of marine and terrestrial organic matter; in both cores we find an elevated contribution from vascular plants beginning just before OAE2 and continuing through the event, indicating a locally strengthened hydrologic cycle. Terrigenous flux decreased during the brief change in carbon isotope values known as the Plenus carbon isotope excursion; it then increased and remained elevated through the latter part of OAE2. Total organic carbon (TOC) values reveal relatively low organic carbon burial in the inner shelf, in contrast to black shales known from the open ocean. Organic carbon content on the shelf appears to increase in the offshore direction, highlighting the need for cores from the middle and outer shelf.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-17-1227-2021","usgsCitation":"Lowery, C.M., Self-Trail, J., and Barrie, C., 2021, Enhanced terrestrial runoff during Oceanic Anoxic Event 2 on the North Carolina Coastal Plain, USA: Climate of the Past, v. 17, p. 1227-1242, https://doi.org/10.5194/cp-17-1227-2021.","productDescription":"16 p.","startPage":"1227","endPage":"1242","ipdsId":"IP-127010","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":451839,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-17-1227-2021","text":"Publisher Index Page"},{"id":386698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Bertie County, Craven County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.0355453491211,\n              36.02452921570427\n            ],\n            [\n              -78.01271438598633,\n              36.02452921570427\n            ],\n            [\n              -78.01271438598633,\n              36.038966603853346\n            ],\n            [\n              -78.0355453491211,\n              36.038966603853346\n            ],\n            [\n              -78.0355453491211,\n              36.02452921570427\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.34272003173828,\n              35.23608538338967\n            ],\n            [\n              -77.26993560791016,\n              35.23608538338967\n            ],\n            [\n              -77.26993560791016,\n              35.302797817405796\n            ],\n            [\n              -77.34272003173828,\n              35.302797817405796\n            ],\n            [\n              -77.34272003173828,\n              35.23608538338967\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lowery, Christopher M","contributorId":260618,"corporation":false,"usgs":false,"family":"Lowery","given":"Christopher","email":"","middleInitial":"M","affiliations":[{"id":52624,"text":"Univ. of Texas-Austin","active":true,"usgs":false}],"preferred":false,"id":818199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":818200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrie, Craig","contributorId":260619,"corporation":false,"usgs":false,"family":"Barrie","given":"Craig","email":"","affiliations":[{"id":52625,"text":"Geomark, Ltd.","active":true,"usgs":false}],"preferred":false,"id":818201,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250112,"text":"70250112 - 2021 - Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling","interactions":[],"lastModifiedDate":"2023-11-21T11:53:06.136867","indexId":"70250112","displayToPublicDate":"2021-06-17T09:16:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling","docAbstract":"<p><span>Accurate maps of regional surface water features are integral for advancing ecologic, atmospheric and land development studies. The only comprehensive surface water feature map of Alaska is the National Hydrography Dataset (NHD). NHD features are often digitized representations of historic topographic map blue lines and may be outdated. Here we test deep learning methods to automatically extract surface water features from airborne interferometric synthetic aperture radar (IfSAR) data to update and validate Alaska hydrographic databases. U-net artificial neural networks (ANN) and high-performance computing (HPC) are used for supervised hydrographic feature extraction within a study area comprised of 50 contiguous watersheds in Alaska. Surface water features derived from elevation through automated flow-routing and manual editing are used as training data. Model extensibility is tested with a series of 16 U-net models trained with increasing percentages of the study area, from about 3 to 35 percent. Hydrography is predicted by each of the models for all watersheds not used in training. Input raster layers are derived from digital terrain models, digital surface models, and intensity images from the IfSAR data. Results indicate about 15 percent of the study area is required to optimally train the ANN to extract hydrography when F1-scores for tested watersheds average between 66 and 68. Little benefit is gained by training beyond 15 percent of the study area. Fully connected hydrographic networks are generated for the U-net predictions using a novel approach that constrains a D-8 flow-routing approach to follow U-net predictions. This work demonstrates the ability of deep learning to derive surface water feature maps from complex terrain over a broad area.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs13122368","usgsCitation":"Stanislawski, L.V., Shavers, E.J., Wang, S., Jiang, Z., Usery, E., Moak, E., Duffy, A., and Schott, J., 2021, Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling: Remote Sensing, v. 13, no. 12, 2368, 27 p., https://doi.org/10.3390/rs13122368.","productDescription":"2368, 27 p.","ipdsId":"IP-128026","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":451842,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13122368","text":"Publisher Index 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,{"id":70228281,"text":"70228281 - 2021 - Assessing habitat change and migration of barrier islands","interactions":[],"lastModifiedDate":"2023-06-09T14:10:04.338246","indexId":"70228281","displayToPublicDate":"2021-06-17T08:37:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Assessing habitat change and migration of barrier islands","docAbstract":"<p><span>Barrier islands are dynamic environments that experience gradual change from waves, tides, and currents, and rapid change from extreme storms. These islands are expected to change drastically over the coming century due to accelerated sea-level rise and changes in frequency and intensity of storm events. The dynamic nature of barrier islands coupled with the importance of these environments make it critical for natural resource managers to understand how habitats on barrier islands are changing or may change over time to determine when and where management actions may be needed. In this study, we applied a habitat change assessment framework, which included exploring areal coverage and distribution changes and change component analysis. Change component analysis, which breaks differences into net gain/loss and allocation difference (i.e., habitat oscillation), has not previously been used to study barrier island habitat evolution. Here, we demonstrate the approach using habitat predictions from a geomorphic modeling effort on Dauphin Island, Alabama (USA). We explored differences of habitat predictions for potential island configurations with and without a beach and dune restoration action under future conditions related to sea level and storminess. We found a potential linkage between landward migration of barrier islands and exchange, an output of change component analysis. The hypothesis may be tested to explore whether this linkage applies over space and time and whether the approach is applicable to monitoring landward migration of coastal wetlands. Collectively, our results highlight the utility of change component analysis for monitoring and quantifying barrier island habitat change and migration.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-021-00971-w","usgsCitation":"Enwright, N., Wang, L., Dalyander, P., Wang, H., Osland, M., Mickey, R.C., Jenkins, R., and Godsey, E., 2021, Assessing habitat change and migration of barrier islands: Estuaries and Coasts, v. 44, p. 2073-2086, https://doi.org/10.1007/s12237-021-00971-w.","productDescription":"14 p.; Data Release","startPage":"2073","endPage":"2086","ipdsId":"IP-121508","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499827,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/geoanth_pubs/276","text":"External Repository"},{"id":395610,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417852,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V4Z7OK"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.33969116210938,\n              30.211608223816906\n            ],\n            [\n              -88.06159973144531,\n              30.211608223816906\n            ],\n            [\n              -88.06159973144531,\n              30.286938665455985\n            ],\n            [\n              -88.33969116210938,\n              30.286938665455985\n            ],\n            [\n              -88.33969116210938,\n              30.211608223816906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":217771,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Lei","contributorId":193279,"corporation":false,"usgs":false,"family":"Wang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":833595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":221891,"corporation":false,"usgs":false,"family":"Dalyander","given":"P. Soupy","affiliations":[{"id":40456,"text":"St. Petersburg Coastal and Marine Science Center (Former Employee)","active":true,"usgs":false}],"preferred":false,"id":833596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":222383,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jenkins, Robert L. III 0000-0003-2078-4618","orcid":"https://orcid.org/0000-0003-2078-4618","contributorId":202181,"corporation":false,"usgs":true,"family":"Jenkins","given":"Robert L.","suffix":"III","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godsey, Elizabeth 0000-0003-4621-7857","orcid":"https://orcid.org/0000-0003-4621-7857","contributorId":222094,"corporation":false,"usgs":false,"family":"Godsey","given":"Elizabeth","email":"","affiliations":[{"id":34200,"text":"Army Corp of Engineers","active":true,"usgs":false}],"preferred":false,"id":833601,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70221538,"text":"70221538 - 2021 - Ecogeographic variation and taxonomic boundaries in Large Treeshrews (Scandentia, Tupaiidae: Tupaia tana Raffles, 1821) from Southeast Asia","interactions":[],"lastModifiedDate":"2021-08-17T15:18:53.1471","indexId":"70221538","displayToPublicDate":"2021-06-17T07:32:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ecogeographic variation and taxonomic boundaries in Large Treeshrews (Scandentia, Tupaiidae: <i>Tupaia tana</i> Raffles, 1821) from Southeast Asia","title":"Ecogeographic variation and taxonomic boundaries in Large Treeshrews (Scandentia, Tupaiidae: Tupaia tana Raffles, 1821) from Southeast Asia","docAbstract":"<p><span>The Large Treeshrew,&nbsp;</span><i>Tupaia tana</i><span>&nbsp;Raffles, 1821, is a small mammal (~205 g) from Southeast Asia with a complicated taxonomic history. Currently, 15 subspecies are recognized from Borneo, Sumatra, and smaller islands, and many were originally differentiated based on minor pelage differences and small sample sizes. We explored intraspecific variation in&nbsp;</span><i>T. tana</i><span>&nbsp;using quantitative osteological data obtained from the hands and skulls of museum specimens. Multivariate analyses reveal extensive overlap among&nbsp;</span><i>T. tana</i><span>&nbsp;populations in morphospace, indicating that the majority of currently recognized subspecies are not morphometrically distinct. In contrast, the separation between Bornean and Sumatran populations of&nbsp;</span><i>T. tana</i><span>&nbsp;is sufficient to recognize them as different subspecies. Comparisons of Bornean specimens to those on small, offshore islands reveal that the latter average smaller body size. This pattern is inconsistent with Foster’s island rule, which predicts that island populations of small mammals (&lt; 5 kg) will average larger body size relative to mainland forms. A similar lack of support for ecogeographic rules has been noted in&nbsp;</span><i>T. glis</i><span>&nbsp;(Diard, 1820), suggesting that these “rules” are poor predictors of geographic variation in treeshrews.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyab059","usgsCitation":"Juman, M.M., Woodman, N., Olson, L.E., and Sargis, E.J., 2021, Ecogeographic variation and taxonomic boundaries in Large Treeshrews (Scandentia, Tupaiidae: Tupaia tana Raffles, 1821) from Southeast Asia: Journal of Mammalogy, v. 102, no. 4, p. 1054-1066, https://doi.org/10.1093/jmammal/gyab059.","productDescription":"13 p.","startPage":"1054","endPage":"1066","ipdsId":"IP-126399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Southeast Asia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              88.76953125,\n              -11.695272733029402\n            ],\n            [\n              162.0703125,\n              -11.695272733029402\n            ],\n            [\n              162.0703125,\n              27.059125784374068\n            ],\n            [\n              88.76953125,\n              27.059125784374068\n            ],\n            [\n              88.76953125,\n              -11.695272733029402\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Juman, Maya M. 0000-0002-0211-0655","orcid":"https://orcid.org/0000-0002-0211-0655","contributorId":260457,"corporation":false,"usgs":false,"family":"Juman","given":"Maya","email":"","middleInitial":"M.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":817993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":817994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Link E. 0000-0002-2481-5701","orcid":"https://orcid.org/0000-0002-2481-5701","contributorId":203887,"corporation":false,"usgs":false,"family":"Olson","given":"Link","email":"","middleInitial":"E.","affiliations":[{"id":36743,"text":"University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, AK 99775, USA","active":true,"usgs":false}],"preferred":false,"id":817995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sargis, Eric J. 0000-0003-0424-3803","orcid":"https://orcid.org/0000-0003-0424-3803","contributorId":203885,"corporation":false,"usgs":false,"family":"Sargis","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":36741,"text":"Department of Anthropology, Yale University, P.O. 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,{"id":70221543,"text":"70221543 - 2021 - Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making","interactions":[],"lastModifiedDate":"2021-06-30T19:17:31.269455","indexId":"70221543","displayToPublicDate":"2021-06-17T07:12:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2979,"text":"PLoS Biology","active":true,"publicationSubtype":{"id":10}},"title":"Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making","docAbstract":"<p><span>More than 1.6 million Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) tests were administered daily in the United States at the peak of the epidemic, with a significant focus on individual treatment. Here, we show that objective-driven, strategic sampling designs and analyses can maximize information gain at the population level, which is necessary to increase situational awareness and predict, prepare for, and respond to a pandemic, while also continuing to inform individual treatment. By focusing on specific objectives such as individual treatment or disease prediction and control (e.g., via the collection of population-level statistics to inform lockdown measures or vaccine rollout) and drawing from the literature on capture–recapture methods to deal with nonrandom sampling and testing errors, we illustrate how public health objectives can be achieved even with limited test availability when testing programs are designed a priori to meet those objectives.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pbio.3001307","usgsCitation":"Nichols, J.D., Bogich, T.L., Howerton, E., Bjornstad, O.N., Borchering, R.K., Ferrari, M.J., Haran, M., Jewell, C., Pepin, K., Probert, W.J., Pulliam, J.R., Runge, M.C., Tildesley, M.J., Viboud, C., and Shea, K., 2021, Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making: PLoS Biology, v. 19, no. 6, e3001307, 9 p., https://doi.org/10.1371/journal.pbio.3001307.","productDescription":"e3001307, 9 p.","ipdsId":"IP-128913","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":451848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pbio.3001307","text":"Publisher Index Page"},{"id":386644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":818000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogich, Tiffany L. 0000-0002-8143-5289","orcid":"https://orcid.org/0000-0002-8143-5289","contributorId":260459,"corporation":false,"usgs":false,"family":"Bogich","given":"Tiffany","email":"","middleInitial":"L.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howerton, Emily 0000-0002-0639-3728","orcid":"https://orcid.org/0000-0002-0639-3728","contributorId":258035,"corporation":false,"usgs":false,"family":"Howerton","given":"Emily","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjornstad, Ottar N. 0000-0002-1158-3753","orcid":"https://orcid.org/0000-0002-1158-3753","contributorId":217708,"corporation":false,"usgs":false,"family":"Bjornstad","given":"Ottar","email":"","middleInitial":"N.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchering, Rebecca K. 0000-0003-4309-2913","orcid":"https://orcid.org/0000-0003-4309-2913","contributorId":258031,"corporation":false,"usgs":false,"family":"Borchering","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferrari, Matthew J. 0000-0001-5251-8168","orcid":"https://orcid.org/0000-0001-5251-8168","contributorId":216186,"corporation":false,"usgs":false,"family":"Ferrari","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818005,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haran, Murali 0000-0003-4440-8625","orcid":"https://orcid.org/0000-0003-4440-8625","contributorId":260461,"corporation":false,"usgs":false,"family":"Haran","given":"Murali","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818006,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jewell, Christopher P. 0000-0002-7902-2178","orcid":"https://orcid.org/0000-0002-7902-2178","contributorId":260466,"corporation":false,"usgs":false,"family":"Jewell","given":"Christopher P.","affiliations":[{"id":33563,"text":"Lancaster University","active":true,"usgs":false}],"preferred":false,"id":818012,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pepin, Kim M. 0000-0002-9931-8312","orcid":"https://orcid.org/0000-0002-9931-8312","contributorId":187441,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim M.","affiliations":[],"preferred":false,"id":818007,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Probert, William J. M. 0000-0002-3437-759X","orcid":"https://orcid.org/0000-0002-3437-759X","contributorId":216183,"corporation":false,"usgs":false,"family":"Probert","given":"William","email":"","middleInitial":"J. M.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":818008,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pulliam, Juliet R. C. 0000-0003-3314-8223","orcid":"https://orcid.org/0000-0003-3314-8223","contributorId":260463,"corporation":false,"usgs":false,"family":"Pulliam","given":"Juliet","email":"","middleInitial":"R. C.","affiliations":[{"id":39919,"text":"Stellenbosch University","active":true,"usgs":false}],"preferred":false,"id":818009,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":818010,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":818011,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Viboud, Cecile 0000-0003-3243-4711","orcid":"https://orcid.org/0000-0003-3243-4711","contributorId":258034,"corporation":false,"usgs":false,"family":"Viboud","given":"Cecile","email":"","affiliations":[{"id":52216,"text":"National Institutes of Health Fogarty International Center","active":true,"usgs":false}],"preferred":false,"id":818013,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":818014,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70221549,"text":"70221549 - 2021 - Detecting subtle change from dense landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance","interactions":[],"lastModifiedDate":"2021-06-23T12:28:09.472652","indexId":"70221549","displayToPublicDate":"2021-06-17T06:59:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Detecting subtle change from dense landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance","docAbstract":"<p><span>In contrast to abrupt changes caused by land cover conversion, subtle changes driven by a shift in the condition, structure, or other biological attributes of land often lead to minimal and slower alterations of the terrestrial surface. Accurate mapping and monitoring of subtle change are crucial for an early warning of long-term gradual change that may eventually result in land cover conversion. Freely accessible moderate-resolution datasets such as the&nbsp;</span>Landsat<span>&nbsp;archive have great potential to characterize subtle change by capturing low-magnitude spectral changes in long-term observations. However, past studies have reported limited success in accurately extracting subtle changes from satellite-based time series analysis. In this study, we introduce a supervised framework named ‘PIDS’ to detect subtle forest disturbance from a comprehensive Landsat data archive by leveraging disturbance-based calibration sites. PIDS consists of four components: (1) Parameter optimization; (2) Index selection; (3) Dynamic stratified monitoring; and (4) Spatial consideration. PIDS was applied to map the early stage of bark beetle infestations (i.e., a lower per-pixel fraction of trees cover that show visual signs of infestation), which are a typical example of subtle change in conifer forests. Landsat Analysis Ready Data were used as the time series inputs for mapping mountain pine beetle and spruce beetle disturbance between 2001 and 2019 in Colorado, USA. PIDS-detection map assessment showed that the overall performance of PIDS (namely ‘F1 score’) was 0.86 for mountain pine beetle and 0.73 for spruce beetle, making a substantial improvement (&gt; 0.3) compared to other approaches/products including COntinuous monitoring of Land Disturbance, LandTrendr, and the National Land Cover Database forest disturbance product. A sub-pixel analysis of tree canopy mortality percentage was performed by linking classified high-resolution (0.3- and 1-m)&nbsp;aerial imagery&nbsp;and 30-m PIDS-detection maps. Results show that PIDS typically detects mountain pine beetle infestation when ≥56% of a Landsat pixel is occupied by red-stage canopy mortality (one year after initial infestation), and spruce beetle infestation when ≥55% is occupied by gray-stage mortality (two years after initial infestation). This study addresses an important methodological goal pertinent to the utility of event-based reference samples for detecting subtle forest change, which could be potentially applied to other types of subtle land change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2021.112560","usgsCitation":"Ye, S., Rogan, J., Zhu, Z., Hawbaker, T., Hart, S., Andrus, R.A., Meddens, A.J., Hicke, J.A., Eastman, J.R., and Kulakowski, D., 2021, Detecting subtle change from dense landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance: Remote Sensing of Environment, v. 263, 112560, 16 p., https://doi.org/10.1016/j.rse.2021.112560.","productDescription":"112560, 16 p.","ipdsId":"IP-124774","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2021.112560","text":"Publisher Index Page"},{"id":386642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.0283203125,\n              37.020098201368114\n            ],\n            [\n              -106.14990234375,\n              37.020098201368114\n            ],\n            [\n              -106.14990234375,\n              40.91351257612758\n            ],\n            [\n              -109.0283203125,\n              40.91351257612758\n            ],\n            [\n              -109.0283203125,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"263","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ye, Su","contributorId":260471,"corporation":false,"usgs":false,"family":"Ye","given":"Su","email":"","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":818017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogan, John","contributorId":260472,"corporation":false,"usgs":false,"family":"Rogan","given":"John","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":818018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhe","contributorId":260473,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":818019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":818020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Sarah J.","contributorId":260474,"corporation":false,"usgs":false,"family":"Hart","given":"Sarah J.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":818021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrus, Robert A.","contributorId":260475,"corporation":false,"usgs":false,"family":"Andrus","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":818022,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meddens, Arjan J.H.","contributorId":260476,"corporation":false,"usgs":false,"family":"Meddens","given":"Arjan","middleInitial":"J.H.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":818023,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hicke, Jeffery A.","contributorId":260477,"corporation":false,"usgs":false,"family":"Hicke","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":818024,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eastman, J. Ronald","contributorId":260480,"corporation":false,"usgs":false,"family":"Eastman","given":"J.","email":"","middleInitial":"Ronald","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":818025,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kulakowski, Dominik","contributorId":260482,"corporation":false,"usgs":false,"family":"Kulakowski","given":"Dominik","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":818026,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70223330,"text":"70223330 - 2021 - Holocene depositional history inferred from single-grain luminescence ages in southern California, North America","interactions":[],"lastModifiedDate":"2021-08-23T22:22:59.085804","indexId":"70223330","displayToPublicDate":"2021-06-16T17:15:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Holocene depositional history inferred from single-grain luminescence ages in southern California, North America","docAbstract":"<p><span>Significant sediment flux and deposition in a sedimentary system are influenced by climate changes, tectonics, lithology, and the sedimentary system's internal dynamics. Identifying the timing of depositional periods from stratigraphic records is a first step to critically evaluate the controls of sediment flux and deposition. Here, we show that ages of single-grain K-feldspar luminescence subpopulations may provide information on the timing of previous major depositional periods. We analyzed 754 K-feldspar single-grains from 17 samples from the surface to ∼9 m-depth in a trench located downstream of the Mission Creek catchment. Single-grain luminescence subpopulation ages significantly overlap at least eight times since ∼12.0 ka indicating a common depositional history. These depositional periods correspond reasonably well with the Holocene intervals of wetter than average climate conditions based on hydroclimatic proxies from nearby locations. Our findings imply a first-order climatic control on sediment depositional history in southern California on a millennial timescale.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL092774","usgsCitation":"Saha, S., Moon, S., Brown, N.D., Rhodes, E.J., Scharer, K., McPhillips, D., McGill, S.F., and Castillo, B.A., 2021, Holocene depositional history inferred from single-grain luminescence ages in southern California, North America: Geophysical Research Letters, v. 48, no. 15, e2021GL092774, 12 p., https://doi.org/10.1029/2021GL092774.","productDescription":"e2021GL092774, 12 p.","ipdsId":"IP-129180","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":451851,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.whiterose.ac.uk/206412/1/604795.pdf","text":"External Repository"},{"id":388392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.87109375,\n              32.62087018318113\n            ],\n            [\n              -114.0380859375,\n              32.62087018318113\n            ],\n            [\n              -114.0380859375,\n              38.16911413556086\n            ],\n            [\n              -122.87109375,\n              38.16911413556086\n            ],\n            [\n              -122.87109375,\n              32.62087018318113\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"15","noUsgsAuthors":false,"publicationDate":"2021-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Saha, Sourav 0000-0001-7106-2936","orcid":"https://orcid.org/0000-0001-7106-2936","contributorId":264624,"corporation":false,"usgs":false,"family":"Saha","given":"Sourav","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":821775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moon, Seulgi 0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":821776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Nathan D. 0000-0002-7385-8679","orcid":"https://orcid.org/0000-0002-7385-8679","contributorId":264626,"corporation":false,"usgs":false,"family":"Brown","given":"Nathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":821777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhodes, Edward J. 0000-0002-0361-8637","orcid":"https://orcid.org/0000-0002-0361-8637","contributorId":192722,"corporation":false,"usgs":false,"family":"Rhodes","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false},{"id":28159,"text":"University of Sheffield","active":true,"usgs":false}],"preferred":false,"id":821778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGill, Sally F. 0000-0001-7176-7055","orcid":"https://orcid.org/0000-0001-7176-7055","contributorId":264627,"corporation":false,"usgs":false,"family":"McGill","given":"Sally","email":"","middleInitial":"F.","affiliations":[{"id":36956,"text":"California State University","active":true,"usgs":false}],"preferred":false,"id":821789,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Castillo, Bryan A.","contributorId":264628,"corporation":false,"usgs":false,"family":"Castillo","given":"Bryan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":821790,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70221385,"text":"cir1484 - 2021 - U.S. Geological Survey landscape science strategy 2020–2030","interactions":[],"lastModifiedDate":"2021-06-17T10:21:11.812779","indexId":"cir1484","displayToPublicDate":"2021-06-16T15:48:57","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1484","displayTitle":"U.S. Geological Survey Landscape Science Strategy 2020–2030","title":"U.S. Geological Survey landscape science strategy 2020–2030","docAbstract":"<p>Across our Nation, multiple Federal, State, Tribal, and local governments are working with stakeholders and landowners to restore, conserve, and manage lands and resources to benefit fish, wildlife, and people. One of the largest Federal efforts is led by the U.S. Department of the Interior (DOI), with multiple DOI agencies working to conserve and manage public lands, resources, and cultural heritage for the benefit and enjoyment of current and future generations. As a science provider within the DOI, the U.S. Geological Survey (USGS) has an important role in developing actionable science products that can inform decision making on public lands and across all of our Nation’s landscapes.</p><p>Our landscapes and resources are undergoing continual change from a complex and interacting suite of stressors that include traditional and nontraditional land uses, a changing climate, a dynamic economy, and a culturally diverse and ever-changing society. Landscape science seeks to understand how the physical, biological, and social components of ecosystems and landscapes interact with each other and are affected by these stressors across local to global scales.</p><p>The USGS has developed this landscape science strategy to focus and strengthen the agency’s efforts to inform critical conservation, restoration, and management decisions for American landscapes. The strategy directly supports the overarching 21st-century science strategy of the USGS and expands our perspective and focus on partnerships, including with internal, external, traditional, and nontraditional partners.</p><p>The vision for USGS landscape science is to integrate multiple disciplines and approaches to create and deliver relevant, timely, and scientifically sound products that enable our partners to make informed decisions about how to manage complex interacting natural and human systems across changing American landscapes. This strategy seeks to leverage the expertise, data, analytical capacity, and tools of the agency and to strengthen integration of science efforts across programs and scales. A cornerstone of the strategy is working closely with landowners and resource managers to identify the science that is needed to inform management actions, and then working collaboratively with those same partners to coproduce science and data products that are timely, practical, and useful for their decision making.</p><p>Many individual efforts within the USGS already embrace landscape science ideas and practices. With the development of this strategy, we are seeking to build on these efforts and to focus agency attention and expertise on expanding, connecting, and institutionalizing core practices and approaches for landscape science that produces actionable science products and tools that decision makers can use to help conserve and manage American landscapes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1484","isbn":"978-1-4113-4419-8","programNote":"Land Management Research Program","usgsCitation":"Jenni, K.E., Carter, S.K., Aumen, N.G., Bowen, Z.H., Bradford, J.B., Chotkowski, M.A., Hsu, L., Murdoch, P.S., Phillips, S.W., Pope, K.L., Schuster, R., Steinkamp, M.J., Weltzin, J., and Xian, G.Z., 2021, U.S. Geological Survey landscape science strategy 2020–2030: U.S. Geological Survey Circular 1484, 26 p., https://doi.org/10.3133/cir1484.","productDescription":"v, 26 p.","numberOfPages":"36","onlineOnly":"N","ipdsId":"IP-121985","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":386449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1484/coverthb.jpg"},{"id":386450,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1484/cir1484.pdf","text":"Report","size":"14.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1484"}],"contact":"<p>Associate Director, <a data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems\" href=\"https://www.usgs.gov/mission-areas/ecosystems\">Ecosystems Mission Area</a><br>U.S. Geological Survey<br>Mail Stop 300 <br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems/land-management-research-program\" href=\"https://www.usgs.gov/mission-areas/ecosystems/land-management-research-program\">Land Management Research Program</a></p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>USGS Landscape Science Strategy</li><li>Goals</li><li>Supporting Strategic Actions</li><li>Planning Implementation of the Science Strategy</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-06-16","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenni, Karen E. 0000-0001-9927-7509","orcid":"https://orcid.org/0000-0001-9927-7509","contributorId":219377,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen E.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":817477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":817478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aumen, Nicholas G. 0000-0002-5277-2630 naumen@usgs.gov","orcid":"https://orcid.org/0000-0002-5277-2630","contributorId":5418,"corporation":false,"usgs":true,"family":"Aumen","given":"Nicholas","email":"naumen@usgs.gov","middleInitial":"G.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":true,"id":817479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":817480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":817481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chotkowski, Michael A. 0000-0002-8931-1643 mchotkowski@usgs.gov","orcid":"https://orcid.org/0000-0002-8931-1643","contributorId":260181,"corporation":false,"usgs":true,"family":"Chotkowski","given":"Michael","email":"mchotkowski@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":817482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":817483,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murdoch, Peter S. 0000-0001-9243-505X pmurdoch@usgs.gov","orcid":"https://orcid.org/0000-0001-9243-505X","contributorId":2453,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter","email":"pmurdoch@usgs.gov","middleInitial":"S.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":817484,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Phillips, Scott W. 0000-0002-1637-9428 swphilli@usgs.gov","orcid":"https://orcid.org/0000-0002-1637-9428","contributorId":191221,"corporation":false,"usgs":true,"family":"Phillips","given":"Scott","email":"swphilli@usgs.gov","middleInitial":"W.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":817485,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":817486,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":817487,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Steinkamp, Melanie J. 0000-0001-9322-609X","orcid":"https://orcid.org/0000-0001-9322-609X","contributorId":101773,"corporation":false,"usgs":false,"family":"Steinkamp","given":"Melanie J.","affiliations":[],"preferred":false,"id":817488,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":true,"id":817489,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":817490,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70221457,"text":"sir20215057 - 2021 - Bathymetry of New York City’s East of Hudson reservoirs and controlled lakes, 2017 to 2019","interactions":[],"lastModifiedDate":"2021-06-17T10:15:19.443423","indexId":"sir20215057","displayToPublicDate":"2021-06-16T15:05:00","publicationYear":"2021","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":"2021-5057","displayTitle":"Bathymetry of New York City’s East of Hudson Reservoirs  and Controlled Lakes, 2017 to 2019","title":"Bathymetry of New York City’s East of Hudson reservoirs and controlled lakes, 2017 to 2019","docAbstract":"<p>New York City maintains an extensive system of reservoirs and aqueducts to provide drinking water to its residents, including 16 reservoirs and controlled lakes in Westchester and Putnam Counties in southern New York, east of the Hudson River (also called “East of Hudson reservoirs and controlled lakes”). These reservoirs were put into service from 1842 to 1915, and their capacities have likely changed since their original construction. To provide updated bathymetric surface, contour, and capacity data, the U.S. Geological Survey, in cooperation with New York City Department of Environmental Protection, surveyed the bathymetry of the 16 East of Hudson reservoirs and controlled lakes from 2017 to 2019 using a multibeam echosounder. The points measured with the multibeam echosounder were combined with light detection and ranging data to generate 3.28-foot raster grids of the bathymetric surfaces, bathymetric contours at 2-foot intervals of elevation, and elevation-area-capacity tables. The results of the bathymetric survey show that the East of Hudson reservoirs range from about 25 feet deep (Kirk Lake) to about 162 feet deep (Kensico Reservoir) and have a total capacity of 142.9 billion gallons, with a combined surface area of more than 11,600 acres.</p><p>The accuracy of the mapped bathymetric data was evaluated using quality assurance datasets collected with a single-beam echosounder; about 284,000 quality assurance points were spatially joined with the mapped raster surface to compute measurement errors. The calculated mean point elevation error for the East of Hudson reservoirs was 0.35 foot, the median error was 0.21 foot, and the 95-percent accuracy was 1.68 feet; the 95-percent accuracy of the computed capacity at spillway elevation was 1.6 percent or less. The largest errors occurred in the steepest areas of the reservoirs and in areas where the data were interpolated. Geospatial files of the bathymetry data, including mapped bathymetric surfaces, contours, and capacity tables, quality assurance points, and associated metadata are available for download as part of an accompanying U.S. Geological Survey data release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215057","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Nystrom, E.A., Huston, C.J., and Welk, R.J., 2021, Bathymetry of New York City’s East of Hudson reservoirs and controlled lakes, 2017 to 2019: U.S. Geological Survey Scientific Investigations Report 2021–5057, 46 p., https://doi.org/10.3133/sir20215057.","productDescription":"Report: viii, 46 p.; Data Release","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-119563","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":386538,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZZQ2OT","text":"USGS data release","linkHelpText":"Geospatial bathymetry datasets for New York City's East of Hudson Reservoirs and Controlled Lakes"},{"id":386537,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5057/sir20215057.pdf","text":"Report","size":"30.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5057"},{"id":386536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5057/coverthb2.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.992919921875,\n              40.88029480552824\n            ],\n            [\n              -73.49853515625,\n              40.88029480552824\n            ],\n            [\n              -73.49853515625,\n              41.40153558289846\n            ],\n            [\n              -73.992919921875,\n              41.40153558289846\n            ],\n            [\n              -73.992919921875,\n              40.88029480552824\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data Collection and Processing Methods</li><li>Bathymetric Map Creation</li><li>Results of Bathymetric Surveys</li><li>Accuracy Assessment</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-06-16","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huston, Courtney J. 0000-0002-1518-6448","orcid":"https://orcid.org/0000-0002-1518-6448","contributorId":260355,"corporation":false,"usgs":true,"family":"Huston","given":"Courtney","email":"","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817761,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70221472,"text":"sir20215032 - 2021 - Permeable groundwater pathways and tritium migration patterns from the HANDLEY underground nuclear test, Pahute Mesa, Nevada","interactions":[],"lastModifiedDate":"2021-06-17T10:26:00.248996","indexId":"sir20215032","displayToPublicDate":"2021-06-16T13:00:45","publicationYear":"2021","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":"2021-5032","displayTitle":"Permeable Groundwater Pathways and Tritium Migration Patterns from the HANDLEY Underground Nuclear Test, Pahute Mesa, Nevada","title":"Permeable groundwater pathways and tritium migration patterns from the HANDLEY underground nuclear test, Pahute Mesa, Nevada","docAbstract":"<p class=\"p1\">The HANDLEY nuclear test was detonated at about 2,700 feet below the water table on March 26, 1970, in Pahute Mesa, south-central Nevada. Measured tritium concentrations in boreholes <i>ER-20-12 </i>and <i>PM-3 </i>indicate that a shallow tritium plume has migrated more than 1 mile (mi) downgradient from the HANDLEY test within a semi-perched aquifer and deeper tritium plumes have migrated 4.5 miles (mi) within underlying regional aquifers. Boreholes <i>ER-20-12 </i>and <i>PM-3 </i>are in an area of moderate-to-low transmissivity, but observation of tritium moving 4.5 mi within 40 years of the detonation indicates that high-transmissivity intervals exist. However, the location of these permeable pathways is unknown.</p><p class=\"p1\">This report integrates geologic, hydrologic, and tritium data to infer the location of permeable pathways near and downgradient from the HANDLEY test. Numerical groundwater-flow and tritium-transport models were developed to estimate hydraulic and transport properties between the HANDLEY test and boreholes <i>ER-20-12 </i>and <i>PM-3</i>. Recharge, hydraulic-conductivity, specific-yield, specific-storage, and effective-porosity distributions were estimated with the numerical models by fitting simulated water-level altitudes, vertical-head differences, aquifer-test transmissivities, tritium concentrations, and drawdowns in wells <i>PM-3-1 </i>and <i>PM-3-2 </i>to measured equivalents. Drawdowns were estimated in wells <i>PM-3-1 </i>and <i>PM-3-2 </i>in response to groundwater withdrawals during the drilling of borehole <i>ER-20-12</i>. A modified hydrostratigraphic framework model (mHFM) was developed that incorporates hydrostratigraphic units (HSUs) from the Pahute Mesa–Oasis Valley hydrostratigraphic framework model (PMOV HFM). HSUs in the mHFM were modified from the PMOV HFM by grouping HSUs that, conceptually, are hydraulically similar and splitting HSUs based on water-level, aquifer-test, and tritium data.</p><p class=\"p1\">Shallow and deeper tritium plumes have migrated to borehole <i>ER-20-12 </i>from the HANDLEY test. The shallow plume migrated from the HANDLEY test through the Timber Mountain welded tuff aquifer, whereas the deeper plumes moved through the Belted Range aquifer (BRA) and modified pre-Belted Range lava flow aquifer (mPBRLFA). Simulated tritium concentrations indicate that the leading edges of tritium plumes reached borehole <i>ER-20-12 </i>by 1990. From 1970 to 2020, the simulated tritium load mostly occurs between borehole <i>ER-20-12 </i>and the HANDLEY test.</p><p class=\"p2\">An unmapped permeable feature was simulated between borehole <i>ER-20-12 </i>and the downgradient Ribbon Cliff structural zone. This permeable feature hydraulically connects the BRA and mPBRLFA with the Tiva Canyon aquifer (TCA). The TCA is the most transmissive unit in the study area. Simulated tritium from the deeper plumes moves through the permeable feature downgradient from borehole <i>ER-20-12 </i>and then migrates toward well <i>PM-3-1 </i>through the TCA. The leading edge of the deeper simulated tritium plumes reaches well <i>PM-3-1 </i>by 2010.</p><p class=\"p2\">The mHFM and PMOV HFM do not include a permeable HSU at the water table near borehole <i>PM-3</i>, which is necessary for numerical flow and transport models to match measured water levels, transmissivities, and tritium concentrations in well <i>PM-3-2</i>. Consistently higher measured tritium concentrations in shallow well <i>PM-3-2</i>, compared to deeper well <i>PM-3-1</i>, and a downward vertical gradient between these wells indicate that a permeable feature exists near the water table that causes faster tritium migration toward the shallow well. Reevaluation of the PMOV HFM and geologic investigations, such as drilling another well, are needed to more precisely understand the shallow permeable pathway from the Handley test to well <i>PM-3-2</i>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215032","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office, Office of Environmental Management, under Interagency Agreement DE-EM0004969","usgsCitation":"Jackson, T.R., 2021, Permeable groundwater pathways and tritium migration patterns from the HANDLEY underground nuclear test, Pahute Mesa, Nevada: U.S. Geological Survey Scientific Investigations Report 2021–5032, 49 p., https://doi.org/10.3133/sir20215032.","productDescription":"Report: vii, 49 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-120498","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":386552,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5032/coverthb.jpg"},{"id":386553,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5032/sir20215032.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5032"},{"id":386554,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YRDQSN","text":"USGS data release","description":"USGS data release.","linkHelpText":"MODFLOW-2005 and MT3DMS models and supplemental data used to simulate groundwater flow and tritium transport from the HANDLEY underground nuclear test, Pahute Mesa, southern Nevada"}],"country":"United States","state":"Nevada","otherGeospatial":"Pahute Mesa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.333984375,\n              36.491973470593685\n            ],\n            [\n              -115.79589843749999,\n              36.491973470593685\n            ],\n            [\n              -115.79589843749999,\n              37.94419750075404\n            ],\n            [\n              -117.333984375,\n              37.94419750075404\n            ],\n            [\n              -117.333984375,\n              36.491973470593685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nv- water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/nv- water\">Nevada Water Science Center</a><br>U.S. Geological Survey <br>2730 N. Deer Run Road <br>Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>Introduction</li><li>Conceptual Framework</li><li>Numerical Model Development and Calibration</li><li>Permeable Pathways from the HANDLEY Underground Nuclear Test</li><li>Tritium Migration from the HANDLEY Underground Nuclear Test</li><li>Data Incongruencies at Borehole PM-3</li><li>Model Limitations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2021-06-16","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, Tracie R. 0000-0001-8553-0323 tjackson@usgs.gov","orcid":"https://orcid.org/0000-0001-8553-0323","contributorId":150591,"corporation":false,"usgs":true,"family":"Jackson","given":"Tracie","email":"tjackson@usgs.gov","middleInitial":"R.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":817781,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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Dakota\",\"nation\":\"USA  \"}}]}","edition":"Version 1.0: June 16, 2021; Version 1.1: February 22, 2023","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Mapping South Dakota Croplands</li><li>Watching South Dakota’s Wetlands</li><li>Protecting South Dakota Forests</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla 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And although California’s nickname is “The Golden State,\" it may also deserve the title of “The Extreme State.” Mount Whitney, the highest peak in the conterminous United States, stands at 14,494 feet above sea level in the Sierra Nevada mountain range. Just 2.5 hours away by car, Death Valley’s Badwater Basin boasts the lowest point in the United States: 282 feet below sea level. Although hundreds of inches of snow fall on Mount Whitney each year, the rainfall in Death Valley, commonly called the hottest place on Earth, averages less than 2 inches.</p><p>California is the most populous U.S. State with 39 million residents, 26 million of whom live near the coast. It’s also the most agriculturally productive State, raising a variety of fruits, vegetables, nuts, grains, grasses, and flowers in addition to dairy and livestock. 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 \"}}]}","edition":"Version 1.0: June 16, 2021; Version 1.1: January 30, 2023","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Watching Where the Water Goes</li><li>Revealing More About Wildfires</li><li>Classifying Vegetation for More Than 40 Years</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-16","revisedDate":"2023-01-30","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":202815,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":817699,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70221869,"text":"70221869 - 2021 - Incorporating water quality analysis into navigation assessments as demonstrated in the Mississippi River Basin","interactions":[],"lastModifiedDate":"2021-07-13T10:12:39.278789","indexId":"70221869","displayToPublicDate":"2021-06-16T10:46:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8957,"text":"Journal of Waterway, Port, Coastal, and Ocean Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating water quality analysis into navigation assessments as demonstrated in the Mississippi River Basin","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>A description of historical and ambient water quality conditions is often required as part of navigational studies. This paper describes a series of tools developed by the USGS that can aid navigation managers in developing water quality assessments. The tools use R, a statistical software program, and provide methods to retrieve historical streamflow and water quality data, summarize observations, model concentrations and fluxes, and estimate seasonal, annual, and decadal trends. The utility of these tools is demonstrated by providing an analysis of the seasonal variability and long-term trends of nitrate plus nitrite, orthophosphate, and suspended sediment concentrations and fluxes at nine sites in the Mississippi River Basin. Trends in annual mean concentration and flux showed fairly stable nitrate plus nitrite at most of the nine sites, with increases in the Upper Mississippi and Missouri Rivers and decreases on the Illinois River over a 40-year period beginning in 1980. Orthophosphate concentration or flux increased at almost all sites over a similar time period. Conversely, a concurrent steady decline in suspended sediment concentrations and fluxes was noted at sites throughout the basin.</p></div>","language":"English","publisher":"ACSE","doi":"10.1061/(ASCE)WW.1943-5460.0000651","usgsCitation":"Kleiss, B., Murphy, J., Mayne, C.M., Allgeier, J.P., Edmondson, A.B., Ginsberg, K.C., Jones, K.E., Lauth, T.J., Moe, E.L., Murphy, J.W., and Allison, M., 2021, Incorporating water quality analysis into navigation assessments as demonstrated in the Mississippi River Basin: Journal of Waterway, Port, Coastal, and Ocean Engineering, v. 147, no. 5, 10 p., https://doi.org/10.1061/(ASCE)WW.1943-5460.0000651.","productDescription":"10 p.","ipdsId":"IP-124379","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":451853,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/(asce)ww.1943-5460.0000651","text":"Publisher Index 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