{"pageNumber":"625","pageRowStart":"15600","pageSize":"25","recordCount":184882,"records":[{"id":70228511,"text":"70228511 - 2020 - Immigration does not offset harvest mortality in groups of a cooperatively breeding carnivore","interactions":[],"lastModifiedDate":"2022-02-11T13:26:20.43542","indexId":"70228511","displayToPublicDate":"2020-05-28T07:20:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Immigration does not offset harvest mortality in groups of a cooperatively breeding carnivore","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The effects of harvest on cooperatively breeding species are often more complex than simply subtracting the number of animals that died from the group count. Changes in demographic rates, particularly dispersal, could offset some effects of harvest mortality in groups but this is rarely explored with cooperative breeders. We asked whether a cooperatively breeding species known for long-distance dispersal could compensate for the effect of harvest mortality on density by adopting immigrants into the group. We used genetic samples to estimate the minimum density of gray wolves (<i>Canis lupus</i>) and proportion of immigrants in groups in the northern US Rocky Mountains after an annual harvest regime was initiated and in the Canadian Rocky Mountains where wolves were managed consistently under an annual harvest regime. We tested whether immigration (1) compensated, (2) partially compensated or (3) did not compensate numerically for harvest mortality in groups and hypothesized immigration would increase with increasing harvest intensity. Density of wolves in groups declined after harvest was initiated whereas immigration into groups was consistently low and did not change with harvest in the US study area. Immigration into groups was similarly low and density even lower in the Canadian study area compared to the US study area. Our results indicate immigration did not compensate for harvest mortality in groups in two separate populations of a cooperatively breeding carnivore. We hypothesize the social structure of wolf groups may limit the potentially compensatory response of immigration in some populations.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/acv.12593","usgsCitation":"Bassing, S., Ausband, D.E., Mitchell, M.S., Schwartz, M.K., Nowak, J., Hale, G., and Waits, L.P., 2020, Immigration does not offset harvest mortality in groups of a cooperatively breeding carnivore: Animal Conservation, v. 23, no. 6, p. 750-761, https://doi.org/10.1111/acv.12593.","productDescription":"12 p.","startPage":"750","endPage":"761","ipdsId":"IP-117321","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bassing, S. B.","contributorId":276010,"corporation":false,"usgs":false,"family":"Bassing","given":"S. B.","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":834469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, M. K.","contributorId":276011,"corporation":false,"usgs":false,"family":"Schwartz","given":"M.","email":"","middleInitial":"K.","affiliations":[{"id":56917,"text":"ufs","active":true,"usgs":false}],"preferred":false,"id":834471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowak, J. J.","contributorId":276012,"corporation":false,"usgs":false,"family":"Nowak","given":"J. J.","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":834472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hale, G.","contributorId":276013,"corporation":false,"usgs":false,"family":"Hale","given":"G.","email":"","affiliations":[{"id":48624,"text":"AEP","active":true,"usgs":false}],"preferred":false,"id":834473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waits, L. P.","contributorId":276014,"corporation":false,"usgs":false,"family":"Waits","given":"L.","email":"","middleInitial":"P.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":834474,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211682,"text":"70211682 - 2020 - Between the supercontinents: Mesoproterozoic Deer Trail Group, an intermediate age unit between the Mesoproterozoic Belt–Purcell Supergroup and the Neoproterozoic Windermere Supergroup in northeastern Washington, USA","interactions":[],"lastModifiedDate":"2020-12-29T21:24:38.461894","indexId":"70211682","displayToPublicDate":"2020-05-27T17:47:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1168,"text":"Canadian Journal of Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Between the supercontinents: Mesoproterozoic Deer Trail Group, an intermediate age unit between the Mesoproterozoic Belt–Purcell Supergroup and the Neoproterozoic Windermere Supergroup in northeastern Washington, USA","docAbstract":"<p><span>Mesoproterozoic and Neoproterozoic basins in western North America record the evolving position of the Laurentian craton within two supercontinents during their growth and dismemberment: Columbia (Nuna) and Rodinia. The western-most exposures of the Columbia rift-related Belt–Purcell Supergroup are preserved in northeastern Washington, structurally overlain by the Deer Trail Group and depositionally overlying the Neoproterozoic Windermere Supergroup. It has been disputed whether the Deer Trail Group is correlative with the Belt–Purcell Supergroup, or younger. To help resolve the uncertain correlation of these units and their bearing on supercontinent evolution, we characterized the detrital zircon age populations of units from the Deer Trail Group, the Windermere Supergroup, and the Belt–Purcell Supergroup in northeastern Washington. These data show that the western part of the Columbia supercontinent (now located in Australia and eastern Antarctica) remained attached to western Laurentia and continued to supply 1600–1500 Ma detrital zircon grains to the Belt–Purcell Supergroup until after ca. 1391 Ma. The Deer Trail Group is younger than the Belt–Purcell strata, with the basal unit younger than ca. 1362 Ma and a middle unit younger than ca. 1300 Ma. The Deer Trail Group has a pre-Grenville-age provenance from the southwestern USA and possibly east Antarctica. The Buffalo Hump Formation is younger than the Deer Trail Group, with Grenville-age (ca. 1112 Ma) detrital zircon grains and a detrital zircon signature like that of the overlying Neoproterozoic Windermere Supergroup. We interpret the Deer Trail Group to have been deposited during the rift-demise of supercontinent Columbia and before the Grenville-age assembly of the supercontinent Rodinia.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjes-2019-0188","usgsCitation":"Box, S.E., Pritchard, C.J., Stephens, T.S., and O’Sullivan, P.B., 2020, Between the supercontinents: Mesoproterozoic Deer Trail Group, an intermediate age unit between the Mesoproterozoic Belt–Purcell Supergroup and the Neoproterozoic Windermere Supergroup in northeastern Washington, USA: Canadian Journal of Earth Sciences, v. 57, no. 12, p. 1411-1427, https://doi.org/10.1139/cjes-2019-0188.","productDescription":"17 p.","startPage":"1411","endPage":"1427","ipdsId":"IP-112626","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500791,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/101706","text":"External Repository"},{"id":377140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Chewelah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.81188964843751,\n              47.89056441663247\n            ],\n            [\n              -117.04833984375001,\n              47.89056441663247\n            ],\n            [\n              -117.04833984375001,\n              48.669198799260045\n            ],\n            [\n              -117.81188964843751,\n              48.669198799260045\n            ],\n            [\n              -117.81188964843751,\n              47.89056441663247\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"57","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pritchard, Chad J. 0000-0002-4608-7776","orcid":"https://orcid.org/0000-0002-4608-7776","contributorId":237042,"corporation":false,"usgs":false,"family":"Pritchard","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":47590,"text":"Eastern Washington University, Dept. of Geology","active":true,"usgs":false}],"preferred":false,"id":795049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Travis S.","contributorId":237044,"corporation":false,"usgs":false,"family":"Stephens","given":"Travis","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":795050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Sullivan, Paul B.","contributorId":193544,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":795051,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211973,"text":"70211973 - 2020 - Deglacierization of a marginal basin and implications for outburst floods, Mendenhall Glacier, Alaska","interactions":[],"lastModifiedDate":"2020-08-12T21:56:14.477434","indexId":"70211973","displayToPublicDate":"2020-05-27T16:44:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Deglacierization of a marginal basin and implications for outburst floods, Mendenhall Glacier, Alaska","docAbstract":"<p><span>Suicide Basin is a partly glacierized marginal basin of Mendenhall Glacier, Alaska, that has released glacier lake outburst floods (GLOFs) annually since 2011. The floods cause inundation and erosion in the Mendenhall Valley, impacting homes and other infrastructure. Here, we utilize&nbsp;</span><i>in-situ</i><span>&nbsp;and remote sensing data to assess the recent evolution and current state of Suicide Basin. We focus on the 2018 and 2019 melt seasons, during which we collected most of our data, partly using unmanned aerial vehicles (UAVs). To provide longer-term context, we analyze DEMs collected since 2006 and model glacier surface mass balance over the 2006–2019 period. During the 2018 and 2019 outburst flood events, Suicide Basin released ~30 × 10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;of water within approximately 4–5 days. Since lake drainage was partial in both years, these ~30 × 10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;represent only a fraction (~60%) of the basin's total storage capacity. In contrast to previous years, subglacial drainage was preceded by supraglacial outflow over the ice dam, which lasted ~1 day in 2018 and 6 days in 2019. Two large calving events occurred in 2018 and 2019, with submerged ice breaking off the main glacier during lake filling, thereby increasing the basin's storage capacity. In 2018, the floating ice in the basin was 36 m thick on average. In 2019, ice thickness was 29 m, suggesting rapid decay of the ice tongue despite increasing ice inflow from Mendenhall Glacier. The ice dam at the basin entrance thinned by more than 5 m a</span><sup>–1</sup><span>&nbsp;from 2018 to 2019, which is approximately double the rate of the reference period 2006–2018. While ice-dam thinning reduces water storage capacity in the basin, that capacity is increased by declining ice volume in the basin and longitudinal lake expansion, with the latter process challenging to predict. The potential for premature drainage onset (i.e., drainage before the lake's storage capacity is reached), intermittent drainage decelerations, and early drainage termination further complicates prediction of future GLOF events.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2020.00137","usgsCitation":"Kienholz, C., Pierce, J., Hood, E., Amundson, J.M., Wolken, G., Jacobs, A., Hart, S., Wikstrom-Jones, K., Abdel-Fattah, D., Johnson, C., and Conaway, J.S., 2020, Deglacierization of a marginal basin and implications for outburst floods, Mendenhall Glacier, Alaska: Frontiers in Earth Science, v. 8, 137, 21 p., https://doi.org/10.3389/feart.2020.00137.","productDescription":"137, 21 p.","ipdsId":"IP-114163","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":456622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00137","text":"Publisher Index Page"},{"id":377453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mendenhall Glacier, Suicide Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -134.78164672851562,\n              58.32679897129091\n            ],\n            [\n              -134.06890869140625,\n              58.32679897129091\n            ],\n            [\n              -134.06890869140625,\n              58.73186643857013\n            ],\n            [\n              -134.78164672851562,\n              58.73186643857013\n            ],\n            [\n              -134.78164672851562,\n              58.32679897129091\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kienholz, Christian","contributorId":220416,"corporation":false,"usgs":false,"family":"Kienholz","given":"Christian","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":796031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Jamie","contributorId":218174,"corporation":false,"usgs":true,"family":"Pierce","given":"Jamie","email":"","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":796032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":796033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amundson, Jason M.","contributorId":26944,"corporation":false,"usgs":true,"family":"Amundson","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":796034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolken, Gabriel","contributorId":204863,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","affiliations":[{"id":37000,"text":"DGGS","active":true,"usgs":false}],"preferred":false,"id":796035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacobs, Aaron","contributorId":204855,"corporation":false,"usgs":false,"family":"Jacobs","given":"Aaron","email":"","affiliations":[{"id":36995,"text":"NWS","active":true,"usgs":false}],"preferred":false,"id":796036,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Skye","contributorId":238101,"corporation":false,"usgs":false,"family":"Hart","given":"Skye","email":"","affiliations":[],"preferred":false,"id":796037,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wikstrom-Jones, Katreen","contributorId":238102,"corporation":false,"usgs":false,"family":"Wikstrom-Jones","given":"Katreen","email":"","affiliations":[],"preferred":false,"id":796038,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Abdel-Fattah, Dina","contributorId":238103,"corporation":false,"usgs":false,"family":"Abdel-Fattah","given":"Dina","email":"","affiliations":[],"preferred":false,"id":796039,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Crane","contributorId":238104,"corporation":false,"usgs":false,"family":"Johnson","given":"Crane","email":"","affiliations":[],"preferred":false,"id":796040,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":796041,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70217546,"text":"70217546 - 2020 - Evidence for large Holocene earthquakes along the Denali fault in southwest Yukon, Canada","interactions":[],"lastModifiedDate":"2021-01-21T22:01:13.846765","indexId":"70217546","displayToPublicDate":"2020-05-27T15:56:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7559,"text":"Environmental and Engineering Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for large Holocene earthquakes along the Denali fault in southwest Yukon, Canada","docAbstract":"<p><span>The Yukon–Alaska Highway corridor in southern Yukon is subject to geohazards ranging from landslides to floods and earthquakes on faults in the St. Elias Mountains and Shakwak Valley. Here we discuss the late Holocene seismic history of the Denali fault, located at the eastern front of the St. Elias Mountains and one of only a few known seismically active terrestrial faults in Canada. Holocene faulting is indicated by scarps and mounds on late Pleistocene drift and by tectonically deformed Pleistocene and Holocene sediments. Previous work on trenches excavated against the fault scarp near the Duke River reveals paleoseismic sediment disturbance dated to ∼300–1,200, 1,200–1,900, and 3,000 years ago. Re-excavation of the trenches indicates a fourth event dated to 6,000 years ago. The trenches are interpreted to show a negative flower structure produced by extension of sediments by dextral strike-slip fault movement. Nearby Crescent Lake is ponded against the fault scarp. Sediment cores reveal four abrupt sediment and diatom changes reflecting seismic shaking at ∼1,200–1,900, 1,900–5,900, 5,900–6,200, and 6,500–6,800 years ago. At the Duke River, the fault offsets sediments, including two White River tephra layers (∼1,900 and 1,200 years old). Late Pleistocene outwash gravel and overlying Holocene aeolian sediments show in cross section a positive flower structure indicative of post-glacial contraction of the sediments by dextral strike-slip movement. Based on the number of events reflecting ∼M6, we estimate the average recurrence of large earthquakes on the Yukon part of the Denali fault to be about 1,300 years in the past 6,500–6,800 years.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.2113/EEG-2263","usgsCitation":"Blais-Stevens, A., Clague, J., Brahney, J., Lipovsky, P., Haeussler, P., and Menounos, B., 2020, Evidence for large Holocene earthquakes along the Denali fault in southwest Yukon, Canada: Environmental and Engineering Geoscience, v. 26, no. 2, p. 149-166, https://doi.org/10.2113/EEG-2263.","productDescription":"18 p.","startPage":"149","endPage":"166","ipdsId":"IP-112955","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":382464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Yukon","otherGeospatial":"Denali Fault, Kluane Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -140.11138916015625,\n              60.81144139261503\n            ],\n            [\n              -137.56256103515625,\n              60.81144139261503\n            ],\n            [\n              -137.56256103515625,\n              61.91180583936655\n            ],\n            [\n              -140.11138916015625,\n              61.91180583936655\n            ],\n            [\n              -140.11138916015625,\n              60.81144139261503\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blais-Stevens, Andree","contributorId":248233,"corporation":false,"usgs":false,"family":"Blais-Stevens","given":"Andree","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":808641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clague, J.J.","contributorId":248236,"corporation":false,"usgs":false,"family":"Clague","given":"J.J.","email":"","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":808642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brahney, J.","contributorId":247745,"corporation":false,"usgs":false,"family":"Brahney","given":"J.","affiliations":[],"preferred":false,"id":808643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lipovsky, P.","contributorId":248238,"corporation":false,"usgs":false,"family":"Lipovsky","given":"P.","email":"","affiliations":[{"id":49837,"text":"Yukon Geological Survey","active":true,"usgs":false}],"preferred":false,"id":808644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":808645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Menounos, B.","contributorId":248239,"corporation":false,"usgs":false,"family":"Menounos","given":"B.","affiliations":[{"id":49840,"text":"University of Northern British Columbia","active":true,"usgs":false}],"preferred":false,"id":808646,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211524,"text":"70211524 - 2020 - Rethinking foundation species in a changing world: The case for Rhododendron maximum as an emerging foundation species in shifting ecosystems of the southern Appalachians","interactions":[],"lastModifiedDate":"2020-07-31T13:15:51.186703","indexId":"70211524","displayToPublicDate":"2020-05-27T12:00:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rethinking foundation species in a changing world: The case for <i>Rhododendron maximum</i> as an <i>emerging</i> foundation species in shifting ecosystems of the southern Appalachians","title":"Rethinking foundation species in a changing world: The case for Rhododendron maximum as an emerging foundation species in shifting ecosystems of the southern Appalachians","docAbstract":"<p><span>“Foundation species” are widespread, abundant species that play critical roles in structuring ecosystem characteristics and processes. Ecosystem change in response to human activities, climate change, disease introduction, or other environmental conditions may promote the emergence of new foundation species or the decline of previously important foundation species. We present rhododendron (</span><i>Rhododendron maximum</i><span>) as an example of an emerging foundation species in riparian forest and headwater stream ecosystems of the southern Appalachian Mountains and use its example to propose a dynamic approach to recognizing foundation species. As other species have declined, rhododendron has increased in abundance, biomass, and ecosystem importance, and now dominates the riparian zones and mesic uplands of much of the region. Rhododendron structures, stabilizes, and modulates functions within both terrestrial and aquatic ecosystems. Studies of forest ecosystem response to environmental conditions indicate that rhododendron may increase the resistance and resilience of its associated ecosystems to predicted anthropogenic stress, including climate change, nitrogen enrichment, and invasive species. A more dynamic conception of foundation species as dependent on ecosystem states will help ecologists to focus on ecosystem processes and services, rather than on historically dominant species, for restoration strategies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2020.118240","usgsCitation":"Dudley, M.P., Freeman, M., Wenger, S., Jackson, C.R., and Pringle, C.M., 2020, Rethinking foundation species in a changing world: The case for Rhododendron maximum as an emerging foundation species in shifting ecosystems of the southern Appalachians: Forest Ecology and Management, v. 472, 118240, 9 p., https://doi.org/10.1016/j.foreco.2020.118240.","productDescription":"118240, 9 p.","ipdsId":"IP-116677","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2020.118240","text":"Publisher Index Page"},{"id":376915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, North Carolina, South Carolina, Tennessee, Virginia, West Virginia","otherGeospatial":"southern Applachian forests","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.837646484375,\n              36.89719446989036\n            ],\n            [\n              -81.6064453125,\n              37.56199695314352\n            ],\n            [\n              -85.60546875,\n              35.32633026307483\n            ],\n            [\n              -86.59423828125,\n              33.054716488042736\n            ],\n            [\n              -85.286865234375,\n              32.95336814579932\n            ],\n            [\n              -79.837646484375,\n              36.89719446989036\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"472","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dudley, Maura P. 0000-0001-9574-8844","orcid":"https://orcid.org/0000-0001-9574-8844","contributorId":236862,"corporation":false,"usgs":false,"family":"Dudley","given":"Maura","email":"","middleInitial":"P.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":794501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":794502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":794503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, C. Rhett","contributorId":236863,"corporation":false,"usgs":false,"family":"Jackson","given":"C.","email":"","middleInitial":"Rhett","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":794504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pringle, Catherine M.","contributorId":176292,"corporation":false,"usgs":false,"family":"Pringle","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":794505,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260155,"text":"70260155 - 2020 - Capturing, preserving and digitizing legacy seismic data from the Montserrat Volcano Observatory analog seismic network, July 1995 – December 2004","interactions":[],"lastModifiedDate":"2024-10-30T22:19:06.067897","indexId":"70260155","displayToPublicDate":"2020-05-27T11:18:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Capturing, preserving and digitizing legacy seismic data from the Montserrat Volcano Observatory analog seismic network, July 1995 – December 2004","docAbstract":"<p>An eruption of the Soufrière Hills Volcano (SHV) on the eastern Caribbean island of Montserrat began on 18 July 1995 and continued until February 2010. Within nine days of the eruption onset, an existing four‐station analog seismic network (ASN) was expanded to 10 sites. Telemetered data from this network were recorded, processed, and archived locally using a system developed by scientists from the U.S. Geological Survey (USGS) Volcano Disaster Assistance Program (VDAP). In October 1996, a digital seismic network (DSN) was deployed with the ability to capture larger amplitude signals across a broader frequency range. These two networks operated in parallel until December 2004, with separate telemetry and acquisition systems (analysis systems were merged in March 2001). Although the DSN provided better quality data for research, the ASN featured superior real‐time monitoring tools and captured valuable data including the only seismic data from the first 15 months of the eruption. These successes of the ASN have been rather overlooked. This article documents the evolution of the ASN, the VDAP system, the original data captured, and the recovery and conversion of more than 230,000 seismic events from legacy SUDS, Hypo71, and Seislog formats into Seisan database with waveform data in miniSEED format. No digital catalog existed for these events, but students at the University of South Florida have classified two-thirds of the 40,000 events that were captured between July 1995 and October 1996. Locations and magnitudes were recovered for&nbsp;~10,000&nbsp;of these events. Real-time seismic amplitude measurement, seismic spectral amplitude measurement, and tiltmeter data were also captured. The result is that the ASN seismic dataset is now more discoverable, accessible, and reusable, in accordance with FAIR data principles. These efforts could catalyze new research on the 1995–2010 SHV eruption. Furthermore, many observatories have data in these same legacy data formats and might benefit from procedures and codes documented here.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200012","usgsCitation":"Thompson, G., Power, J., Braunmiller, J., Lockhart, A., Lynch, L., McCausland, W., Rowe, C., Shea, T., White, R., and Breithaupt, C., 2020, Capturing, preserving and digitizing legacy seismic data from the Montserrat Volcano Observatory analog seismic network, July 1995 – December 2004: Seismological Research Letters, v. 91, no. 4, p. 2127-2140, https://doi.org/10.1785/0220200012.","productDescription":"14 p.","startPage":"2127","endPage":"2140","ipdsId":"IP-115441","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463354,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Monserrat","otherGeospatial":"Soufrière Hills Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -62.20648979760041,\n              16.723228121283853\n            ],\n            [\n              -62.20648979760041,\n              16.684378490612588\n            ],\n            [\n              -62.15099565340141,\n              16.684378490612588\n            ],\n            [\n              -62.15099565340141,\n              16.723228121283853\n            ],\n            [\n              -62.20648979760041,\n              16.723228121283853\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"91","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Glenn","contributorId":345675,"corporation":false,"usgs":false,"family":"Thompson","given":"Glenn","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":917233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braunmiller, Jochen","contributorId":345676,"corporation":false,"usgs":false,"family":"Braunmiller","given":"Jochen","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":917235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lockhart, Andrew 0000-0002-1591-3254 ablock@usgs.gov","orcid":"https://orcid.org/0000-0002-1591-3254","contributorId":204748,"corporation":false,"usgs":true,"family":"Lockhart","given":"Andrew","email":"ablock@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Lloyd","contributorId":345677,"corporation":false,"usgs":false,"family":"Lynch","given":"Lloyd","affiliations":[{"id":82692,"text":"Seismic Research Unit","active":true,"usgs":false}],"preferred":false,"id":917237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCausland, Wendy 0000-0002-8683-1440","orcid":"https://orcid.org/0000-0002-8683-1440","contributorId":345678,"corporation":false,"usgs":true,"family":"McCausland","given":"Wendy","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917238,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowe, Charlotte","contributorId":345679,"corporation":false,"usgs":false,"family":"Rowe","given":"Charlotte","email":"","affiliations":[{"id":82693,"text":"Los Alamos National Labs","active":true,"usgs":false}],"preferred":false,"id":917239,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shea, Thomas","contributorId":345680,"corporation":false,"usgs":false,"family":"Shea","given":"Thomas","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":917240,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"White, Randall A. 0000-0003-4074-8577","orcid":"https://orcid.org/0000-0003-4074-8577","contributorId":344964,"corporation":false,"usgs":false,"family":"White","given":"Randall A.","affiliations":[{"id":82444,"text":"none, retired USGS","active":true,"usgs":false}],"preferred":false,"id":917241,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Breithaupt, Charles","contributorId":345681,"corporation":false,"usgs":false,"family":"Breithaupt","given":"Charles","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":917242,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70210593,"text":"70210593 - 2020 - When source and path components trade off in ground-motion prediction equations","interactions":[],"lastModifiedDate":"2020-07-10T12:39:00.623841","indexId":"70210593","displayToPublicDate":"2020-05-27T11:10:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"When source and path components trade off in ground-motion prediction equations","docAbstract":"<p><span>Current research on ground‐motion models (also known as ground‐motion prediction equations [GMPEs]) and their uncertainties focus on the separate contributions of source, path, and site to both median values and their variability. Implicit here is the assumption that the event term, path term, and site term reflect only properties of the source, path, and site, respectively. Events with larger stress drop generate more high‐frequency energy, and thus more ground motion. Therefore, the correlation of high‐frequency (i.e., peak ground acceleration [PGA] or peak ground velocity [PGV]) event terms in GMPEs with stress drop is taken to be genuine. However, PGA and PGV ground‐motion observations of the 2014&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot; mathvariant=&quot;bold&quot;>M</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">M</span></span></span></span></span></span><span>&nbsp;6.0 South Napa, California, earthquake clearly violate these assumptions. For this earthquake, high‐frequency ground‐motion residuals of recorded ground motion with respect to Next Generation Attenuation‐West2 Project (NGA‐West2) ground‐motion models show a dependence on distance, biasing the calculation of the event term by incorrectly mapping a regional attenuation effect into it. We examine the trade‐off between source and path effects for the South Napa earthquake and a well‐recorded California subset of the NGA‐West2 data. We fit near‐source (i.e., within 20 or 50&nbsp;km) event terms and remaining differential geometrical spreading and anelastic attenuation terms in comparison to a simultaneous inversion for the source and path terms. This South Napa instance highlights one situation for which the high‐frequency event term can be interpreted as relative stress drop only when the distance dependence of the ground motions does not bias the residuals.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190379","usgsCitation":"Baltay Sundstrom, A.S., Abrahams, L.S., and Hanks, T.C., 2020, When source and path components trade off in ground-motion prediction equations: Seismological Research Letters, v. 91, no. 4, p. 2259-2267, https://doi.org/10.1785/0220190379.","productDescription":"9 p.","startPage":"2259","endPage":"2267","ipdsId":"IP-106446","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":375520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South Napa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.35336303710938,\n              38.17235306715556\n            ],\n            [\n              -122.23526000976561,\n              38.17235306715556\n            ],\n            [\n              -122.23526000976561,\n              38.33411604971082\n            ],\n            [\n              -122.35336303710938,\n              38.33411604971082\n            ],\n            [\n              -122.35336303710938,\n              38.17235306715556\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":790731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahams, Lauren S.","contributorId":225198,"corporation":false,"usgs":false,"family":"Abrahams","given":"Lauren","email":"","middleInitial":"S.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":790732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":790733,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228243,"text":"70228243 - 2020 - Modeling larval American Shad recruitment in a large river","interactions":[],"lastModifiedDate":"2022-02-08T17:40:51.860634","indexId":"70228243","displayToPublicDate":"2020-05-27T11:01:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling larval American Shad recruitment in a large river","docAbstract":"<p><span>Climate change is altering the spatial and temporal patterns of temperature and discharge in rivers, which is expected to have implications for the life stages of anadromous fish using those rivers. We developed an individual-based model to track American Shad&nbsp;</span><i>Alosa sapidissima</i><span>&nbsp;offspring within a coarse template of spatially and temporally variable habitat conditions defined by a combination of temperature, river velocity, and prey availability models. We simulated spawning at each river kilometer along a 142-km reach of the Connecticut River on each day (April 1–August 31) to understand how spawning date and location drive larval recruitment differentially across years and decades (1993–2002 and 2007–2016). For both temperature and flow, interannual variation was large in comparison to interdecadal differences. Variation in simulated recruitment was best explained by a combination of season-specific spawning temperature and location along the course of the river. The greatest potential recruitment occurred during years in which June temperatures were&nbsp;relatively high. In years when June and July were warmer than average, maximum recruitment resulted from spawning taking place at the upstream portion of the modeled reach. Model scenarios (stationary or passive-drift larvae; and dams or no dams) had predictable effects. We assumed that the pools above dams had negative impacts on eggs and yolk-sac larvae that may have been deposited there. Allowing eggs and larvae to drift passively with the current reduced spatial differences in recruitment success among spawning sites relative to stationary eggs and larvae. Our results demonstrate the importance of spatiotemporal environmental heterogeneity for producing positive recruitment over the long term. In addition, our results suggest the importance of successful passage of spawners to historical spawning sites in the Connecticut River upstream of Vernon Dam, especially as conditions shift with climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10460","usgsCitation":"Marschall, E.A., Glover, D., Mather, M.E., and Parrish, D.L., 2020, Modeling larval American Shad recruitment in a large river: North American Journal of Fisheries Management, v. 41, no. 4, p. 939-954, https://doi.org/10.1002/nafm.10460.","productDescription":"16 p.","startPage":"939","endPage":"954","ipdsId":"IP-109474","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":456629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10460","text":"Publisher Index Page"},{"id":395637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshite, Massachutsetts","otherGeospatial":"Connecticut River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.81463623046875,\n              42.18375873465217\n            ],\n            [\n              -72.13348388671875,\n              42.18375873465217\n            ],\n            [\n              -72.13348388671875,\n              43.12504316740127\n            ],\n            [\n              -72.81463623046875,\n              43.12504316740127\n            ],\n            [\n              -72.81463623046875,\n              42.18375873465217\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Marschall, Elizabeth A.","contributorId":274924,"corporation":false,"usgs":false,"family":"Marschall","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":833512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glover, David C.","contributorId":274925,"corporation":false,"usgs":false,"family":"Glover","given":"David C.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":833513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222338,"text":"70222338 - 2020 - Challenges in quantifying air-water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay","interactions":[],"lastModifiedDate":"2021-07-22T15:12:18.885038","indexId":"70222338","displayToPublicDate":"2020-05-27T10:10:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7159,"text":"JGR Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Challenges in quantifying air-water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay","docAbstract":"<p><span>Estuaries play an uncertain but potentially important role in the global carbon cycle via CO</span><sub>2</sub><span>&nbsp;outgassing. The uncertainty mainly stems from the paucity of studies that document the full spatial and temporal variability of estuarine surface water partial pressure of carbon dioxide ( </span><i>p</i><span>CO</span><sub>2</sub><span>). Here, we explore the potential of utilizing the abundance of pH data from historical water quality monitoring programs to fill the data void via a case study of the mainstem Chesapeake Bay (eastern United States). We calculate&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;and the air-water CO</span><sub>2</sub><span>&nbsp;flux at monthly resolution from 1998 to 2018 from tidal fresh to polyhaline waters, paying special attention to the error estimation. The biggest error is due to the pH measurement error, and errors due to the gas transfer velocity, temporal sampling, the alkalinity mixing model, and the organic alkalinity estimation are 72%, 27%, 15%, and 5%, respectively, of the error due to pH. Seasonal, interannual, and spatial variability in the air-water flux and surface&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;is high, and a correlation analysis with oxygen reveals that this variability is driven largely by biological processes. Averaged over 1998–2018, the mainstem bay is a weak net source of CO</span><sub>2</sub><span>&nbsp;to the atmosphere of 1.2 (1.1, 1.4)&nbsp;mol&nbsp;m</span><sup>−2</sup><span>&nbsp;yr</span><sup>−1</sup><span>&nbsp;(best estimate and 95% confidence interval). Our findings suggest that the abundance of historical pH measurements in estuaries around the globe should be mined in order to constrain the large spatial and temporal variability of the CO</span><sub>2</sub><span>&nbsp;exchange between estuaries and the atmosphere.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JC015610","usgsCitation":"Herrmann, M., Najjar, R.G., Da, F., Friedman, J.R., Friedrichs, M.A., Goldberger, S., Menendez, A., Shadwick, E.H., Stets, E.G., and St-Laurent, P., 2020, Challenges in quantifying air-water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay: JGR Oceans, v. 125, no. 7, e2019JC015610, 19 p., https://doi.org/10.1029/2019JC015610.","productDescription":"e2019JC015610, 19 p.","ipdsId":"IP-119043","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":456632,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jc015610","text":"External Repository"},{"id":387386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.11328125,\n              36.96744946416934\n            ],\n            [\n              -75.970458984375,\n              37.501010429493284\n            ],\n            [\n              -75.65185546874999,\n              37.90953361677018\n            ],\n            [\n              -75.82763671875,\n              37.96152331396614\n            ],\n            [\n              -75.816650390625,\n              38.07404145941957\n  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University","active":true,"usgs":false}],"preferred":false,"id":819664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Najjar, Raymond G. 0000-0002-3770-2300","orcid":"https://orcid.org/0000-0002-3770-2300","contributorId":261280,"corporation":false,"usgs":false,"family":"Najjar","given":"Raymond","email":"","middleInitial":"G.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":819665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Da, Fei 0000-0002-5330-5962","orcid":"https://orcid.org/0000-0002-5330-5962","contributorId":261282,"corporation":false,"usgs":false,"family":"Da","given":"Fei","email":"","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":819666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jaclyn R. 0000-0001-8120-2541","orcid":"https://orcid.org/0000-0001-8120-2541","contributorId":222587,"corporation":false,"usgs":false,"family":"Friedman","given":"Jaclyn","email":"","middleInitial":"R.","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":819668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friedrichs, Marjorie A. M. 0000-0003-2828-7595","orcid":"https://orcid.org/0000-0003-2828-7595","contributorId":222588,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Marjorie","email":"","middleInitial":"A. M.","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":819669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldberger, Sreece","contributorId":261284,"corporation":false,"usgs":false,"family":"Goldberger","given":"Sreece","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":819667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Menendez, Alana","contributorId":261286,"corporation":false,"usgs":false,"family":"Menendez","given":"Alana","email":"","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":819670,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shadwick, Elizabeth H. 0000-0003-4008-3333","orcid":"https://orcid.org/0000-0003-4008-3333","contributorId":222589,"corporation":false,"usgs":false,"family":"Shadwick","given":"Elizabeth","email":"","middleInitial":"H.","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":819671,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":819672,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"St-Laurent, Pierre 0000-0002-1700-9509","orcid":"https://orcid.org/0000-0002-1700-9509","contributorId":261288,"corporation":false,"usgs":false,"family":"St-Laurent","given":"Pierre","email":"","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":819673,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263672,"text":"70263672 - 2020 - Rapid geodetic observations of spatiotemporally varying postseismic deformation following the Ridgecrest earthquake sequence: The U.S. Geological Survey response","interactions":[],"lastModifiedDate":"2025-02-19T15:44:53.451305","indexId":"70263672","displayToPublicDate":"2020-05-27T09:39:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Rapid geodetic observations of spatiotemporally varying postseismic deformation following the Ridgecrest earthquake sequence: The U.S. Geological Survey response","docAbstract":"<p><span>The U.S. Geological Survey’s geodetic response to the 4–5 July 2019 (Pacific time) Ridgecrest earthquake sequence comprised primarily the installation and/or reoccupation of Global Navigation Satellite System (GNSS) monumentation. Our response focused primarily on the United States’ Navy’s China Lake Naval Air Weapons Station base (NAWSCL). This focus was because much of the surface rupture occurred on the NAWSCL and because of NAWSCL access restrictions only permitting Federal and State of California personnel. In total, we measured or are still measuring at 24 sites, 14 of which were on the NAWSCL and, as of this writing, operational. The majority of sites were set up as continuous stations logging at either 1 sample per second or 1 sample per 15&nbsp;s. Two stations were recording a 200&nbsp;m cross‐rupture aperture starting&nbsp;</span><span class=\"inline-formula no-formula-id\">∼10  hr</span><span>&nbsp;after the&nbsp;</span><span class=\"inline-formula no-formula-id\">M</span><span>&nbsp;6.4 event, and they recorded the coseismic displacements of the&nbsp;</span><span class=\"inline-formula no-formula-id\">M</span><span>&nbsp;7.1. Approximately, 1&nbsp;hr after the&nbsp;</span><span class=\"inline-formula no-formula-id\">M</span><span>&nbsp;7.1 event, two new stations were recording a&nbsp;</span><span class=\"inline-formula no-formula-id\">∼200  m</span><span>&nbsp;cross‐rupture aperture of the surface rupture. In the days following, we established the rest of the stations ranging to a distance of&nbsp;</span><span class=\"inline-formula no-formula-id\">∼15  km</span><span>&nbsp;from the&nbsp;</span><span class=\"inline-formula no-formula-id\">M</span><span>&nbsp;7.1 principal rupture trace. The lack of differential displacement across the&nbsp;</span><span class=\"inline-formula no-formula-id\">M</span><span>&nbsp;6.4 rupture during the&nbsp;</span><span class=\"inline-formula no-formula-id\">M</span><span>&nbsp;7.1 event suggests that it did not reactivate the&nbsp;</span><span class=\"inline-formula no-formula-id\">M</span><span>&nbsp;6.4 plane. The lack of differential cross‐fault displacement for both events suggests that rapid shallow afterslip did not occur at those two locations. The postseismic time series from these stations shows centimeters of horizontal displacement over periods of a few months. They record a mixture of fault‐parallel and fault‐normal displacements that, in conjunction with analysis of more spatially complete Interferometric Synthetic Aperture Radar displacement fields, suggest that both poroelastic and afterslip phenomena occur along the&nbsp;</span><span class=\"inline-formula no-formula-id\">M</span><span>&nbsp;6.4 and 7.1 rupture planes. Using preliminary data from these and other regional stations, we also explore the Ridgecrest sequence’s effect on regional GNSS time series and the differentiation of long‐term postseismic motions and secular deformation rates. We find that redefining a common‐mode noise filter using different GNSS stations that are assumed to be unaffected by the earthquakes results in small but systematic differences in the regional velocity field estimate.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200007","usgsCitation":"Brooks, B.A., Murray, J.R., Svarc, J.L., Phillips, E.L., Turner, R., Murray, M.H., Ericksen, T., Wang, K., Minson, S.E., Burgmann, R., Pollitz, F., Hudnut, K.W., Nevitt, J., Roeloffs, E., Hernandez, J., and Olson, B., 2020, Rapid geodetic observations of spatiotemporally varying postseismic deformation following the Ridgecrest earthquake sequence: The U.S. Geological Survey response: Seismological Research Letters, v. 9, no. 4, p. 2108-2123, https://doi.org/10.1785/0220200007.","productDescription":"16 p.","startPage":"2108","endPage":"2123","ipdsId":"IP-113806","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Ellen L. 0000-0003-3381-5428","orcid":"https://orcid.org/0000-0003-3381-5428","contributorId":331482,"corporation":false,"usgs":true,"family":"Phillips","given":"Ellen","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, Ryan Clayton 0000-0003-0732-5951","orcid":"https://orcid.org/0000-0003-0732-5951","contributorId":351029,"corporation":false,"usgs":true,"family":"Turner","given":"Ryan Clayton","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murray, Mark Hunter 0000-0003-4862-5547","orcid":"https://orcid.org/0000-0003-4862-5547","contributorId":300982,"corporation":false,"usgs":true,"family":"Murray","given":"Mark","email":"","middleInitial":"Hunter","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ericksen, Todd 0000-0001-9340-575X","orcid":"https://orcid.org/0000-0001-9340-575X","contributorId":217363,"corporation":false,"usgs":true,"family":"Ericksen","given":"Todd","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Kang","contributorId":197483,"corporation":false,"usgs":false,"family":"Wang","given":"Kang","email":"","affiliations":[],"preferred":false,"id":927772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927773,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Burgmann, Roland 0000-0002-3560-044X","orcid":"https://orcid.org/0000-0002-3560-044X","contributorId":264610,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","email":"","affiliations":[{"id":54514,"text":"Berkeley Seismological Laboratory, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":927774,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927775,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":927776,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nevitt, Johanna 0000-0003-3819-1773 jnevitt@usgs.gov","orcid":"https://orcid.org/0000-0003-3819-1773","contributorId":198144,"corporation":false,"usgs":true,"family":"Nevitt","given":"Johanna","email":"jnevitt@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927777,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Roeloffs, Evelyn 0000-0002-4761-0469","orcid":"https://orcid.org/0000-0002-4761-0469","contributorId":215340,"corporation":false,"usgs":true,"family":"Roeloffs","given":"Evelyn","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927778,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hernandez, Janis","contributorId":216335,"corporation":false,"usgs":false,"family":"Hernandez","given":"Janis","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":927779,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Olson, Brian","contributorId":217365,"corporation":false,"usgs":false,"family":"Olson","given":"Brian","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":927780,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70211626,"text":"70211626 - 2020 - Departures of rangeland fractional component cover and land cover from landsat-based ecological potential in Wyoming USA","interactions":[],"lastModifiedDate":"2020-11-13T15:47:47.342487","indexId":"70211626","displayToPublicDate":"2020-05-27T09:33:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Departures of rangeland fractional component cover and land cover from landsat-based ecological potential in Wyoming USA","docAbstract":"<p><span>Monitoring rangelands by identifying the departure of contemporary conditions from long-term ecological potential allows for the disentanglement of natural biophysical gradients driving change from changes associated with land uses and other disturbance types. We developed maps of ecological potential (EP) for shrub, sagebrush (</span><i>Artemisia</i><span>&nbsp;spp.), perennial herbaceous, litter, and bare ground fractional cover in Wyoming, USA. EP maps correspond to the potential natural vegetation cover expected by environmental conditions in the absence of anthropogenic and natural disturbance as represented by the greenest and least disturbed period of the Landsat archive. EP was predicted using regression tree models with inputs of soil maps and spectral data associated with the 75th percentile of the Normalized Difference Vegetation Index in the Landsat archive. We trained our EP models with 2015 component cover maps on ecologically intact sites with relatively lower bare ground than expected. We generated departure of vegetation cover by comparing the EP and 2015 fractional cover. The departures represent land cover change from potential land cover and/or within-state changes in 2015. Next, we converted EP and 2015 fractional cover maps into thematic land cover and evaluated departure to determine if it was great enough to result in land cover change. The 2015 conditions showed reduced shrub, sagebrush, litter, and perennial herbaceous cover and increased bare ground relative to EP. Known disturbances, such as energy development, fires, and vegetation treatments, are clearly visible on the departure maps, but not on EP component maps. The most frequent departure from EP land cover was shrubland conversion to grassland. Land cover departures can be explained only in small part by known disturbance, and instead are ostensibly related to climate and land management practices. These drivers result in land cover departures that broadened the ecotone between shrubland and grassland relative to EP.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2020.03.009","usgsCitation":"Rigge, M.B., Homer, C.G., Shi, H., and Wylie, B., 2020, Departures of rangeland fractional component cover and land cover from landsat-based ecological potential in Wyoming USA: Rangeland Ecology and Management, v. 73, no. 6, p. 856-870, https://doi.org/10.1016/j.rama.2020.03.009.","productDescription":"15 p.","startPage":"856","endPage":"870","ipdsId":"IP-114686","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":456635,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2020.03.009","text":"Publisher Index Page"},{"id":436954,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IKI4XV","text":"USGS data release","linkHelpText":"Using Targeted Training Data to Develop Site Potential for the Upper Colorado River Basin from 2000 - 2018"},{"id":377037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"73","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":794861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":794862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":794863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":201929,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":794864,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216851,"text":"70216851 - 2020 - Landscape matters: Predicting the biogeochemical effects of permafrost thaw on aquatic networks with a state factor approach","interactions":[],"lastModifiedDate":"2020-12-09T13:29:53.289874","indexId":"70216851","displayToPublicDate":"2020-05-27T08:27:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Landscape matters: Predicting the biogeochemical effects of permafrost thaw on aquatic networks with a state factor approach","docAbstract":"<p><span>Permafrost thaw has been widely observed to alter the biogeochemistry of recipient aquatic ecosystems. However, research from various regions has shown considerable variation in effect. In this paper, we propose a state factor approach to predict the release and transport of materials from permafrost through aquatic networks. Inspired by Hans Jenny's seminal description of soil‐forming factors, and based on the growing body of research on the subject, we propose that a series of state factors—including relief, ice content, permafrost extent, and parent material—will constrain and direct the biogeochemical effect of thaw over time. We explore state‐factor‐driven variation in thaw response using a series of case studies from diverse regions of the permafrost‐affected north, and also describe unique scaling considerations related to the mobile and integrative nature of aquatic networks. While our cross‐system review found coherent responses to thaw for some biogeochemical constituents, such as nutrients, others, such as dissolved organics and particles, were much more variable in their response. We suggest that targeted, hypothesis‐driven investigation of the effects of state factor variation will bolster our ability to predict the biogeochemical effects of thaw across diverse and rapidly changing northern landscapes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ppp.2057","usgsCitation":"Tank, S.E., Vonk, J.E., Walvoord, M.A., McClelland, J.W., Laurion, I., and Abbott, B., 2020, Landscape matters: Predicting the biogeochemical effects of permafrost thaw on aquatic networks with a state factor approach: Permafrost and Periglacial Processes, v. 31, no. 3, p. 358-370, https://doi.org/10.1002/ppp.2057.","productDescription":"13 p.","startPage":"358","endPage":"370","numberOfPages":"13","ipdsId":"IP-112819","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":456641,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ppp.2057","text":"External Repository"},{"id":381159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Tank, Suzanne E.","contributorId":150795,"corporation":false,"usgs":false,"family":"Tank","given":"Suzanne","email":"","middleInitial":"E.","affiliations":[{"id":18102,"text":"University of Alberta, Edmonton, Canada","active":true,"usgs":false}],"preferred":false,"id":806614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vonk, Jorien E.","contributorId":150794,"corporation":false,"usgs":false,"family":"Vonk","given":"Jorien","email":"","middleInitial":"E.","affiliations":[{"id":18101,"text":"Utrecht University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":806615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":806616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClelland, James W. 0000-0001-9619-8194","orcid":"https://orcid.org/0000-0001-9619-8194","contributorId":238027,"corporation":false,"usgs":false,"family":"McClelland","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":47685,"text":"Marine Science Institute, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":806617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laurion, Isabelle","contributorId":245611,"corporation":false,"usgs":false,"family":"Laurion","given":"Isabelle","email":"","affiliations":[{"id":49236,"text":"Centre Eau Terre Environnement, Institut national de la recherche scientifique, Québec, QC, Canada","active":true,"usgs":false}],"preferred":false,"id":806618,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abbott, Benjamin W.","contributorId":218049,"corporation":false,"usgs":false,"family":"Abbott","given":"Benjamin W.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":806619,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70212872,"text":"70212872 - 2020 - Minimal clustering of injection-induced earthquakes observed with a large-n seismic array","interactions":[],"lastModifiedDate":"2020-10-12T17:26:57.804493","indexId":"70212872","displayToPublicDate":"2020-05-26T19:54:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Minimal clustering of injection-induced earthquakes observed with a large-<i>n</i> seismic array","title":"Minimal clustering of injection-induced earthquakes observed with a large-n seismic array","docAbstract":"<p><span>The clustering behavior of injection‐induced earthquakes is examined using one month of data recorded by the LArge‐</span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=\">n</span></span></i><span>&nbsp;Seismic Survey in Oklahoma (LASSO) array. The 1829‐node seismic array was deployed in a&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=\">25  km×32  km</span></span><span>&nbsp;area of active saltwater disposal in northern Oklahoma between 14 April and 10 May 2016. Injection rates in the study area are nearly constant around the time of the deployment. We develop a local magnitude (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=\"><span id=\"MathJax-Span-19\" class=\"math\"><span><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"msub\"><span id=\"MathJax-Span-22\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-23\" class=\"mi\">L</span></sub></span></span></span></span></span><sub>⁠</sub></span><span>) equation for the region and estimate magnitudes for 1104 earthquakes recorded by the deployment. The determined earthquake magnitudes range from </span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=\"><span id=\"MathJax-Span-24\" class=\"math\"><span><span id=\"MathJax-Span-25\" class=\"mrow\"><span id=\"MathJax-Span-26\" class=\"msub\"><span id=\"MathJax-Span-27\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-28\" class=\"mi\">L </span></sub></span></span></span></span></span></span><span>0.01 to 3.0. The majority of earthquakes occurred between 1.5 and 5.5&nbsp;km depth, and the shallowest earthquake depths overlap with the base of injection wells at depths between 1.5 and 2.5&nbsp;km. We compute focal mechanisms of the largest events (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=\"><span id=\"MathJax-Span-29\" class=\"math\"><span><span id=\"MathJax-Span-30\" class=\"mrow\"><span id=\"MathJax-Span-31\" class=\"msub\"><span id=\"MathJax-Span-32\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-33\" class=\"mi\">L</span></sub></span><span id=\"MathJax-Span-34\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-35\" class=\"mn\">2.0</span></span></span></span></span>⁠</span><span>), and find a mix of normal‐ and strike‐slip‐faulting types. Earthquakes occur regularly in time during the deployment, but are not evenly distributed in space across the study area, that is, they are spatially clustered. Analysis of the nearest‐neighbor distances in the space–time–magnitude domain shows the seismicity is dominated by single‐event clusters (i.e., independent events). This high proportion of single‐event clusters compared with multievent clusters has been previously noted for induced events at geothermal sites. When clustering occurs, the number of events in a cluster is typically small. We observe only four clusters with 10 or more events. For these larger clusters, we find equivalent numbers of foreshocks and aftershocks; however, the foreshock sequences are significantly longer in duration lasting days to tens of days, while aftershock sequences are observed only on the order of one day. The minimal clustering observed for events in the LASSO array suggests that the majority of events are being directly driven by stress changes due to local saltwater disposal.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200101","usgsCitation":"Cochran, E.S., Wickham-Piotrowski, A., Kemna, K., Harrington, R.M., Dougherty, S., and Pena Castro, A., 2020, Minimal clustering of injection-induced earthquakes observed with a large-n seismic array: Bulletin of the Seismological Society of America, v. 110, no. 5, p. 2005-2017, https://doi.org/10.1785/0120200101.","productDescription":"13 p.","startPage":"2005","endPage":"2017","ipdsId":"IP-117066","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":378082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.3,\n              36.5\n            ],\n            [\n              -97.6,\n              36.5\n            ],\n            [\n              -97.6,\n              37.1\n            ],\n            [\n              -98.3,\n              37.1\n            ],\n            [\n              -98.3,\n              36.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wickham-Piotrowski, A.","contributorId":239705,"corporation":false,"usgs":false,"family":"Wickham-Piotrowski","given":"A.","email":"","affiliations":[{"id":47980,"text":"Ecole Nationale Superieure","active":true,"usgs":false}],"preferred":false,"id":797737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kemna, K.","contributorId":239706,"corporation":false,"usgs":false,"family":"Kemna","given":"K.","email":"","affiliations":[{"id":47982,"text":"Ruhr-Universitat Bochum","active":true,"usgs":false}],"preferred":false,"id":797738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrington, R. M","contributorId":156299,"corporation":false,"usgs":false,"family":"Harrington","given":"R.","email":"","middleInitial":"M","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":797739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dougherty, S.","contributorId":220221,"corporation":false,"usgs":false,"family":"Dougherty","given":"S.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":797740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pena Castro, A.","contributorId":215264,"corporation":false,"usgs":false,"family":"Pena Castro","given":"A.","email":"","affiliations":[{"id":36610,"text":"McGill","active":true,"usgs":false}],"preferred":false,"id":797741,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70210252,"text":"ofr20201054 - 2020 - Behavior and movement of adult winter steelhead (<i>Oncorhynchus mykiss</i>) in the upper Cowlitz River Basin, Washington, 2017–18","interactions":[],"lastModifiedDate":"2020-05-27T11:46:37.572541","indexId":"ofr20201054","displayToPublicDate":"2020-05-26T14:45:53","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1054","displayTitle":"Behavior and Movement of Adult Winter Steelhead (<i>Oncorhynchus mykiss</i>) in the Upper Cowlitz River Basin, Washington, 2017–18","title":"Behavior and movement of adult winter steelhead (<i>Oncorhynchus mykiss</i>) in the upper Cowlitz River Basin, Washington, 2017–18","docAbstract":"<h1>Executive Summary</h1><p>A 2-year radiotelemetry study was completed to monitor the movements of adult winter steelhead (<i>Oncorhynchus mykiss</i>) in the upper Cowlitz River Basin. A reintroduction program was established to restore healthy and harvestable populations of steelhead because volitional access to the area was blocked in the 1960s after construction of dams in the lower river. A trap-and-haul program is used to move adult steelhead and salmon (<i>Oncorhynchus </i>spp.) upstream, around the dams and large reservoirs, and release them in the upper basin to spawn naturally. Fish are released into Lake Scanewa, the uppermost reservoir in the system, and into the Cowlitz and Cispus Rivers. The goal of this study was to describe the behavior, movement, and tributary use of adult steelhead in the upper Cowlitz River Basin to assist in evaluating the trap-and-haul program and reintroduction program. We were specifically interested in learning more about the locations where steelhead spawn. Individual fish were assigned one of four fates, based on their location during the spawning period: Cowlitz River, Cispus River, Lake Scanewa, or fallback below the dam that impounds the reservoir. A total of 215 steelhead were tagged for the 2017–18 study. Of these, 5 fish regurgitated their transmitters before or shortly after release, so 210 tagged fish were used for analyses, including 121 fish (57.6 percent) released into the Cispus River and 89 fish (42.4 percent) released into Lake Scanewa. The Cowlitz River release site was not evaluated. Hatchery-origin (HOR) and natural-origin (NOR) steelhead were included in the study. Within the first 10 days after release, most steelhead had moved at least 2 river kilometers away from their release site. Fish released into Lake Scanewa, however, moved from their release site significantly sooner than fish released into the Cispus River, regardless of origin or sex. Most radio-tagged steelhead (93–100 percent) made no more than one trip between the reservoir and one of the rivers prior to spawning.</p><p>Steelhead were predominantly assigned fates in the river closest to where they were released, but origin also played a role. Steelhead released into the Cispus River were assigned Cispus River fates more than 80 percent of the time, including both origins and both years. About 13 percent of NOR fish had fates in the Cowlitz River, but the proportion was lower for HOR fish (0–2 percent). Fallback was the least common fate for Cispus-released steelhead (three HOR fish in 2017), followed by the reservoir fate, ranging from 5 to 9 percent in 2017, and zero in 2018. The steelhead released into Lake Scanewa were almost exclusively NOR fish, which had primarily Cowlitz River fates (55–57 percent). We released only six HOR steelhead into Lake Scanewa, and they all had Cowlitz River fates. The reservoir fate was uncommon for both release sites, and it was consistently lower in 2018 compared to 2017. Flow conditions were higher in 2017, which may have affected steelhead movement patterns or timing. The three HOR steelhead released in the Cispus River in 2017 were the only fish that fell back over Cowlitz Falls Dam, which represented 1.4 percent of the total study fish, 5.7 percent of the Cispus-released fish in 2017, and 9.4 percent of the Cispus-released HOR fish in 2017.</p><p>About 62 percent of the steelhead released in Lake Scanewa spawned in the Cowlitz River, with the remaining 38 percent in the Cispus River. Within the Cowlitz River, close to one-half (about 47 percent) of the fish spawned in the upper reach, and about 16 percent spawned in the lower reach. Steelhead released into Lake Scanewa that spawned in the Cispus River were minimal in reach 5 (4 percent) and distributed in approximately equal proportions in the middle (reach 6; 16 percent) and upper (reach 7; 18 percent) reaches. Steelhead released into the Cispus River spawned almost exclusively in the Cispus River (94 percent). The upper Cispus River reach (reach 7) was used by more fish (72 percent) than the middle Cispus reach (reach 6; 16 percent). Taken together, the upper Cowlitz River reach (reach 4) and upper Cispus River reach (reach 7) accounted for more than 71 percent of the spawning locations for radio-tagged steelhead. When the middle Cispus River reach (reach 6) is included with the upper reaches, they account for 87 percent of our described spawning sites. We described 12 tributaries in the Cowlitz River and 8 tributaries in the Cispus River where steelhead spawned. After spawning, about 53–63 percent of steelhead moved downstream as kelts, either being collected at Cowlitz Falls Dam or being detected downstream from the dam. More fish were collected from both release sites in 2018 compared to 2017. Across release sites and years, more NOR fish and females moved downstream as kelts. This study added to the understanding of the behavior and movement of adult steelhead in the upper Cowlitz River Basin, supporting the findings of previous studies in the basin and describing spawning sites in the system’s two main rivers and their tributaries. Future research efforts in this system may use additional telemetry studies, genetic analyses, and spawning ground surveys to provide further insights into the progress of the reintroduction effort.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201054","usgsCitation":"Liedtke, T.L., Kock, T.J., Hansen, A.C., Ekstrom, B.K., and Tomka, R.G., 2020, Behavior and movement of adult winter steelhead (Oncorhynchus mykiss) in the upper Cowlitz River Basin, Washington, 2017–18: U.S. Geological Survey Open-File Report 2020–1054, 35 p., https://doi.org/10.3133/ofr20201054.","productDescription":"vi, 35 p.","numberOfPages":"35","onlineOnly":"Y","ipdsId":"IP-116465","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":375037,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1054/coverthb.jpg"},{"id":375038,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1054/ofr20201054.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Washington","otherGeospatial":"Upper Cowlitz River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.22265625000001,\n              45.767522962149876\n            ],\n            [\n              -120.498046875,\n              45.767522962149876\n            ],\n            [\n              -120.498046875,\n              46.98025235521881\n            ],\n            [\n              -123.22265625000001,\n              46.98025235521881\n            ],\n            [\n              -123.22265625000001,\n              45.767522962149876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://www.usgs.gov/centers/wfrc/connect\" href=\"https://www.usgs.gov/centers/wfrc/connect\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a data-mce-href=\"https://www.usgs.gov/centers/wfrc\" href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\">Western Fisheries Research Center</a><br><a data-mce-href=\"https://www.usgs.gov\" href=\"https://www.usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>6505 NE 65th Street<br>Seattle, Washington 98115-5016<br></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li><li>Appendix 1. Detailed Summary of Spawning Locations of Radio-Tagged Steelhead in the Upper Cowlitz River Basin</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-05-26","noUsgsAuthors":false,"publicationDate":"2020-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":789762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":203546,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":789763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Amy C. 0000-0002-0298-9137","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":212932,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":789764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ekstrom, Brian K. 0000-0002-1162-1780 bekstrom@usgs.gov","orcid":"https://orcid.org/0000-0002-1162-1780","contributorId":3704,"corporation":false,"usgs":true,"family":"Ekstrom","given":"Brian","email":"bekstrom@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":789765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tomka, Ryan G. 0000-0003-1078-6089 rtomka@usgs.gov","orcid":"https://orcid.org/0000-0003-1078-6089","contributorId":3706,"corporation":false,"usgs":true,"family":"Tomka","given":"Ryan","email":"rtomka@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":789766,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210243,"text":"ofr20201038 - 2020 - Evaluation of the analytical methods used to determine the elemental concentrations found in the stream geochemical dataset compiled for Alaska","interactions":[],"lastModifiedDate":"2020-05-27T11:42:57.164561","indexId":"ofr20201038","displayToPublicDate":"2020-05-26T14:36:58","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1038","displayTitle":"Evaluation of the Analytical Methods Used to Determine the Elemental Concentrations Found in the Stream Geochemical Dataset Compiled for Alaska","title":"Evaluation of the analytical methods used to determine the elemental concentrations found in the stream geochemical dataset compiled for Alaska","docAbstract":"<p>A recent U.S. Geological Survey data compilation of stream-sediment geochemistry for Alaska contains decades of analyses collected under numerous Federal and State programs. The compiled data were determined by various analytical methods. Some samples were reanalyzed by a different analytical method than the original, resulting in some elements having concentrations reported by multiple analytical methods. Consideration of the analytical methods used to determine the elemental concentrations is an important step in a mineral prospectivity analysis. We used the compiled data to compare concentrations of barium (Ba), cobalt (Co), copper (Cu), chromium (Cr), nickel (Ni), lead (Pb), and zinc (Zn) determined by different analytical methods to show how simple data comparisons can identify bias and provide a general sense of the comparability of different analytical methods. The elements were selected because they have a range of geochemical properties that may affect the performance of different analytical procedures.</p><p>Generally, agreement between Ba, Co, Cu, Cr, Ni, Pb, and Zn concentrations is good for most quantitative methods that use a total decomposition of the sample. However, Cr concentrations typically were lower for methods using quantitative-instrumental analysis following a multi-acid dissolution technique that included hydrofluoric acid compared to those using sinter decomposition. Additionally, low- to middle-range concentrations for Co, Cr, Cu, Ni, Pb, and Zn by instrumental neutron activation (NA) and energy-dispersive x-ray spectroscopy (EDX) analyzed by the National Uranium Resource Evaluation (NURE) program have high uncertainty. Concentrations determined by methods that use partial decomposition of the sample generally correspond well to concentrations determined by methods that use a total decomposition technique, except for Ba and Cr. For Ba and Cr, partial decomposition techniques yield lower concentrations than those determined by methods that use a total decomposition technique. Comparison of Ba, Co, Cr, Cu, Ni, Pb, and Zn concentrations determined by semiquantitative visual six-step direct-current arc emission spectrography (ES_SQ) to those determined by quantitative methods using either a total or partial decomposition technique consistently show scatter that exceeds the values expected based on the range represented by the semiquantitative concentration.</p><p>The data compilation includes a best-value determination that was selected based on the analytical method from the all concentration data for that sample. Ba, Cr, Co, and Zn concentrations determined by NA usually are selected as the best-value determination. However, the NURE-NA method was designed for high throughput and the uncertainty associated with low- and mid-range concentrations is greater than that of the multi-acid method used to reanalyze many samples. Selection of the multi-acid method over the NURE-NA method for Ba, Co, and Zn could be warranted. Additionally, concentrations determined by ES_SQ usually are selected as the best-value determination over all methods that use a partial decomposition of the sample. Substitution of concentrations determined by methods that use a partial decomposition for those of ES_SQ may be warranted for Co, Cu, Ni, Pb, and Zn. Regardless of the selection of the best-value determination, the dataset remains a mixed method dataset and the uncertainty due to differences in analytical methodology must be considered when using the dataset.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201038","usgsCitation":"Wang, B, Ellefsen, K.J., Granitto, M., Kelley, K.D., Karl, S.M., Case, G.N.D., Kreiner, D.C., and Amundson, C.L., 2020, Evaluation of the analytical methods used to determine the elemental concentrations found in the stream geochemical dataset compiled for Alaska: U.S. Geological Survey Open-File Report 2020-1038, 66 p., https://doi.org/10.3133/ofr20201038.","productDescription":"xii, 66 p.","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-109726","costCenters":[{"id":114,"text":"Alaska Science 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href=\"mailto:dc_ak@usgs.gov\" data-mce-href=\"mailto:dc_ak@usgs.gov\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data and Data Handling</li><li>Comparisons of Elemental Concentrations</li><li>Discussion</li><li>Summary</li><li>References Cited</li><li>Figures</li><li>Tables</li><li>Appendix 1. Common Methods in the Compiled Dataset</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-05-26","noUsgsAuthors":false,"publicationDate":"2020-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Bronwen 0000-0003-1044-2227 bwang@usgs.gov","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":2351,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","email":"bwang@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":789720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":789721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":789722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":789723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":789724,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":789725,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":789726,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":789727,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70210241,"text":"sir20205041 - 2020 - Trends in nutrient and soil loss in Illinois rivers, 1978–2017","interactions":[],"lastModifiedDate":"2020-05-27T11:39:28.173344","indexId":"sir20205041","displayToPublicDate":"2020-05-26T13:14:09","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5041","displayTitle":"Trends in Nutrient and Soil Loss in Illinois Rivers, 1978–2017","title":"Trends in nutrient and soil loss in Illinois rivers, 1978–2017","docAbstract":"<p>Nutrient and soil loss, defined herein as the loss of nutrients or soil to streams and other downstream receiving waters, affect watersheds around the globe. Although governments make large investments mitigating nutrient and soil loss through watershed management efforts, the efficacy of these efforts is often difficult to assess, in part because streamflow variability obscures the effects.</p><p>This study investigates the effects of watershed management on nutrient and soil losses in the State of Illinois during two periods: 1978 to 2017, and 2008 to 2017. The former period provides an important test case for assessing the efficacy of major Federal programs like the Clean Water Act and the Conservation Reserve Program at mitigating nutrient and soil loss, whereas the latter spans the years after these policies were well established, thereby providing an assessment of whether these programs have kept pace with ongoing trends in climate and watershed management.</p><p>The effect of interannual streamflow variability on long-term nutrient and soil loss trends was removed using an extension of the Weighted Regressions on Time, Discharge, and Season methodology, called generalized flow normalization. This process also partitions trends into components attributable to long-term changes in streamflow and watershed management. The Weighted Regressions on Time, Discharge, and Season trend analysis indicated significant, widespread trends in nutrient and soil loss in Illinois since 1978. From 1978 to 2017, improvements in watershed management reduced nitrogen and soil loss from watersheds within Illinois, but this effect was partially or entirely negated by increasing losses due to changing streamflow. During the same period, phosphorus loss also increased owing to a combination of inadequate management efforts and changing streamflow. During 2008–17, however, nutrient and soil losses have all accelerated, threatening to undo previous reductions if the current trends continue.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205041","usgsCitation":"Hodson, T.O., and Terrio, P.J., 2020, Trends in nutrient and soil loss in Illinois rivers, 1978–2017: U.S. Geological Survey Scientific Investigations Report 2020–5041, 26 p., https://doi.org/10.3133/sir20205041.","productDescription":"vi, 23 p.","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-110310","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":375018,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5041/coverthb.jpg"},{"id":375019,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5041/sir20205041.pdf","text":"Report","size":"7.68 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 \"}}]}","contact":"<p>Director, <a data-mce-href=\"ttps://www.usgs.gov/centers/cmwater\" href=\"ttps://www.usgs.gov/centers/cmwater\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey<br>405 North Goodwin <br>Urbana, IL 61801</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Trends in Nutrient and Soil Loss in Illinois Rivers, 1978–2017</li><li>Synopsis and Implications of Trends in Nutrient and Soil Loss</li><li>Summary</li><li>References</li><li>Appendix 1. Ambient Water Quality Monitoring Network Monitoring Site Information</li><li>Appendix 2. Supplementary Figures</li></ul>","publishedDate":"2020-05-26","noUsgsAuthors":false,"publicationDate":"2020-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodson, Timothy O. 0000-0003-0962-5130","orcid":"https://orcid.org/0000-0003-0962-5130","contributorId":78634,"corporation":false,"usgs":true,"family":"Hodson","given":"Timothy","email":"","middleInitial":"O.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":789715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":789716,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70210565,"text":"70210565 - 2020 - A tropical cyclone-induced ecological regime shift: Mangrove forest conversion to mudflat in Everglades National Park (Florida, USA)","interactions":[],"lastModifiedDate":"2020-10-28T15:27:52.158428","indexId":"70210565","displayToPublicDate":"2020-05-26T12:13:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"A tropical cyclone-induced ecological regime shift: Mangrove forest conversion to mudflat in Everglades National Park (Florida, USA)","docAbstract":"<p><span>The ecological effects of tropical cyclones on mangrove forests are diverse and highly location- and cyclone-dependent. Ecological resistance, resilience, and enhancement are terms that describe most mangrove forest responses to tropical cyclones. However, in the most extreme cases, tropical cyclones can trigger abrupt and irreversible ecological transformations (i.e., ecological regime shifts). Here, we examine a cyclone-induced ecological regime shift that occurred in Everglades National Park (USA), where forest mortality and peat collapse due to a powerful tropical cyclone (the 1935 Labor Day Hurricane) led to the conversion of mangrove forests to mudflats and an estimated elevation loss of approximately 75&nbsp;cm. We investigated soil elevation change measured in these mangrove forests and adjacent mudflats during a twenty-year period [1998–2018] using Surface Elevation Table-Marker Horizon (SET-MH) methods. This period encompasses the effects of Hurricanes Wilma (2005) and Irma (2017). We also used historical sea-level rise rates and future sea-level rise scenarios to estimate surface elevation changes in the past (1930–1998) and to illustrate elevation gains needed for these ecosystems to adapt to future change. Collectively, our findings advance understanding of the long-term effects of cyclone-induced ecological regime shifts due to forest mortality, peat collapse, and conversion of mangrove forests to mudflats.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-020-01291-8","usgsCitation":"Osland, M., Feher, L., Anderson, G., Vervaeke, W., Krauss, K., Whelan, K.R., Balentine, K.S., Tiling-Range, G., Smith, T., and Cahoon, D., 2020, A tropical cyclone-induced ecological regime shift: Mangrove forest conversion to mudflat in Everglades National Park (Florida, USA): Wetlands, v. 40, p. 1445-1458, https://doi.org/10.1007/s13157-020-01291-8.","productDescription":"14 p.","startPage":"1445","endPage":"1458","ipdsId":"IP-102521","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":375472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.45263671875,\n              24.98854752702206\n            ],\n            [\n              -80.42816162109375,\n              24.98854752702206\n            ],\n            [\n              -80.42816162109375,\n              25.82956108605351\n            ],\n            [\n              -81.45263671875,\n              25.82956108605351\n            ],\n            [\n              -81.45263671875,\n              24.98854752702206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationDate":"2020-05-26","publicationStatus":"PW","contributors":{"authors":[{"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":790618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":222816,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":790619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Gordon 0000-0003-1675-8329","orcid":"https://orcid.org/0000-0003-1675-8329","contributorId":218919,"corporation":false,"usgs":true,"family":"Anderson","given":"Gordon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research 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,{"id":70228181,"text":"70228181 - 2020 - Surface soil temperature seasonal variation estimation in a forested area using combined satellite observations and in-situ measurements","interactions":[],"lastModifiedDate":"2022-02-07T17:37:56.521281","indexId":"70228181","displayToPublicDate":"2020-05-26T11:33:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Surface soil temperature seasonal variation estimation in a forested area using combined satellite observations and in-situ measurements","docAbstract":"<p><span>Surface soil temperature is the soil temperature from the surface to 10 cm in depth. Surface soil temperature plays a significant role in agricultural drought monitoring, ecosystem energy transfer modeling, and global carbon cycle evaluation. Studies have been proposed to estimate surface soil temperature, but surface soil temperature monitoring within forested areas still poses a significant challenge. In this study, we proposed a surface soil temperature retrieval method using combined satellite observations and in-situ measurements for the Great Dismal Swamp (GDS). The GDS is a U.S. protected area managed and protected by the U.S. Fish and Wildlife Service. It is located along the boundary of Virginia and North Carolina, with maple gum, Atlantic white cedar, and pine pocosin as the main forest cover types. Ground-based surface soil temperature measurements were collected for these forest types from May 2015 to April 2017. Both the Land Remote Sensing Satellite (Landsat) Thermal Infrared Sensor (TIRS) and the Moderate Resolution Imaging Spectroradiometer (MODIS) carry two thermal infrared (TIR) channels. The TIR channels with similar corresponding wavelengths were first fused using an improved fusing model to generate high resolution TIR measurements. Then the enterprise algorithm was applied to calculate land surface temperature (LST) from the fused TIR bands. An improved soil temperature retrieval method was applied to generate surface soil temperature based on LST and vegetation index (VI) within the study area for the three forest types. In-situ measurements were used to build the surface soil temperature retrieval method, and results were then validated. The normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) were integrated separately as VIs in the model to monitor surface soil temperature. The&nbsp;</span><i>R<sup>2</sup></i><span>&nbsp;for retrieved surface soil temperature through satellite observations was 0.76, and the RMSE was 1.96 </span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi is=&quot;true&quot;>&amp;#x2103;</mi></math>\">℃<span class=\"MJX_Assistive_MathML\">℃</span></span></span><span>&nbsp;when NDVI was integrated in the model; the&nbsp;</span><i>R<sup>2</sup></i><span>&nbsp;was 0.78, and the RMSE was 1.85 </span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi is=&quot;true&quot;>&amp;#x2103;</mi></math>\">℃<span class=\"MJX_Assistive_MathML\">℃</span></span></span><span>&nbsp;when EVI was used.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2020.102156","usgsCitation":"Xu, C., Qu, J.J., Hao, X., Zhu, Z., and Gutenberg, L., 2020, Surface soil temperature seasonal variation estimation in a forested area using combined satellite observations and in-situ measurements: International Journal of Applied Earth Observation and Geoinformation, v. 91, 102156, 10 p., https://doi.org/10.1016/j.jag.2020.102156.","productDescription":"102156, 10 p.","ipdsId":"IP-118845","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":456646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2020.102156","text":"Publisher Index Page"},{"id":395549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Great Dismal Swamp","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.5802001953125,\n              36.43785643398897\n            ],\n            [\n              -76.33026123046874,\n              36.43785643398897\n            ],\n            [\n              -76.33026123046874,\n              36.78399193687661\n            ],\n            [\n              -76.5802001953125,\n              36.78399193687661\n            ],\n            [\n              -76.5802001953125,\n              36.43785643398897\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Chenyang","contributorId":274798,"corporation":false,"usgs":false,"family":"Xu","given":"Chenyang","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":833319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qu, John J.","contributorId":274799,"corporation":false,"usgs":false,"family":"Qu","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":833320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hao, Xianjun","contributorId":274800,"corporation":false,"usgs":false,"family":"Hao","given":"Xianjun","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":833321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":833322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gutenberg, Laurel","contributorId":274801,"corporation":false,"usgs":false,"family":"Gutenberg","given":"Laurel","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":833323,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210817,"text":"70210817 - 2020 - Impacts of sea-level rise on the tidal reach of California coastal rivers using the Coastal Storm Modeling System (CoSMoS)","interactions":[],"lastModifiedDate":"2020-07-01T13:48:52.081098","indexId":"70210817","displayToPublicDate":"2020-05-26T09:39:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of sea-level rise on the tidal reach of California coastal rivers using the Coastal Storm Modeling System (CoSMoS)","docAbstract":"<p><span>In coastal rivers, the interactions between tides and fluvial discharge affect local ecology, sedimentation, river dynamics, river mouth configuration, and the flooding potential in adjacent wetlands and low-lying areas. With sea-level rise, the tidal reach within coastal rivers can expand upstream, impacting river dynamics and increasing flood risk across a much greater area. Rivers along the Pacific coast of California are constrained by coastal mountain ranges, in contrast to the typical large and low-gradient river deltas and estuaries often used in tidal reach studies. Yet, the impacts of tides are ever-present and considerable to these rivers' habitats and neighboring communities. The impacts of a range of sea-level rise, discharge, and coastal storm conditions on the upstream extent of a spring tidal influence and the associated flood potential are assessed for several coastal rivers across California using coupled Delft3D FLOW-WAVE hydrodynamic simulations that explicitly account for the interactions between waves, currents, surge, and water levels in this study. Projected changes in tidal reach among the various rivers are characterized and implications for adjacent communities and stakeholders are discussed.</span></p>","language":"English","publisher":"BioOne Complete","doi":"10.2112/SI95-237.1","usgsCitation":"O'Neill, A., Erikson, L.H., and Barnard, P., 2020, Impacts of sea-level rise on the tidal reach of California coastal rivers using the Coastal Storm Modeling System (CoSMoS): Journal of Coastal Research, v. 95, no. 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0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791565,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70212030,"text":"70212030 - 2020 - Subaqueous mass movements in the context of observations of  contemporary slope failure","interactions":[],"lastModifiedDate":"2020-08-13T14:32:51.489254","indexId":"70212030","displayToPublicDate":"2020-05-26T09:30:25","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Subaqueous mass movements in the context of observations of  contemporary slope failure","docAbstract":"<p><span>The consequences of subaqueous landslides have been at the forefront of societal conscience more than ever in the last few years, with devastating and fatal events in the Indonesian Archipelago making global news. The new research presented in this volume demonstrates the breadth of ongoing investigation into subaqueous landslides, and shows that while events like the recent ones can be devastating, they are smaller in scale than those Earth has experienced in the past. Understanding the spectrum of subaqueous landslide processes, and therefore the potential societal impact, requires research across all spatial and temporal scales. This volume delivers a compilation of state-of-the-art papers covering regional landslide databases, advanced techniques for&nbsp;</span><i>in situ</i><span>&nbsp;measurements, numerical modelling of processes and hazards.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Subaqueous mass movements and their consequences: Advances in process understanding, monitoring and hazard assessments","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/SP500-2019-237","usgsCitation":"Mountjoy, J., Georgiopoulou, A., Chaytor, J., Clare, M., Gamboa, D., and Moernaut, J., 2020, Subaqueous mass movements in the context of observations of  contemporary slope failure, chap. <i>of</i> Subaqueous mass movements and their consequences: Advances in process understanding, monitoring and hazard assessments, v. 500, p. 1-12, https://doi.org/10.1144/SP500-2019-237.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-114992","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/sp500-2019-237","text":"Publisher Index Page"},{"id":377488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"500","noUsgsAuthors":false,"publicationDate":"2020-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Mountjoy, J.J.","contributorId":238167,"corporation":false,"usgs":false,"family":"Mountjoy","given":"J.J.","email":"","affiliations":[{"id":16802,"text":"National Institute of Water and Atmospheric Research, Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":796151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Georgiopoulou, Aggeliki","contributorId":213588,"corporation":false,"usgs":false,"family":"Georgiopoulou","given":"Aggeliki","email":"","affiliations":[{"id":38808,"text":"UCD School of Earth Sciences, University College Dublin, Dublin, Ireland","active":true,"usgs":false}],"preferred":false,"id":796152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":796153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clare, M.A.","contributorId":238168,"corporation":false,"usgs":false,"family":"Clare","given":"M.A.","email":"","affiliations":[{"id":39676,"text":"National Oceanography Centre, Southampton, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":796154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gamboa, D.","contributorId":238169,"corporation":false,"usgs":false,"family":"Gamboa","given":"D.","affiliations":[{"id":47706,"text":"Instituto Portugues do Mar e da Atmosfera, Lisbon, Portugal","active":true,"usgs":false}],"preferred":false,"id":796155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moernaut, J.","contributorId":238170,"corporation":false,"usgs":false,"family":"Moernaut","given":"J.","affiliations":[{"id":47707,"text":"Institute of Geology, University of Innsbruck, Austria","active":true,"usgs":false}],"preferred":false,"id":796156,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70216013,"text":"70216013 - 2020 - Valuing tourism to a historic World War II national memorial","interactions":[],"lastModifiedDate":"2020-11-03T13:24:31.794608","indexId":"70216013","displayToPublicDate":"2020-05-26T07:18:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7341,"text":"Journal of Cultural Heritage","active":true,"publicationSubtype":{"id":10}},"title":"Valuing tourism to a historic World War II national memorial","docAbstract":"<p><span>This study contributes to the existing literature on valuing visitation to an important cultural heritage site. Pearl Harbor National Memorial in Hawaii remembers and honors those that served the United States in the Pacific battles of World War II. Although historic and cultural monuments and memorials comprise a substantial portion of the U.S. National Park System, there is little research into the economic benefits such sites provide to visitors. These benefits are a critical component of planning and management decisions based on an economic efficiency criterion. This study contributes to the literature by quantifying the economic value derived from visitation to Pearl Harbor National Memorial, home of the USS&nbsp;</span><i>Arizona</i><span>&nbsp;Memorial. Using data from a recent visitor survey, we explore the motivations for visiting the site and how such motivations may influence these values. These findings have significant implications, demonstrating a substantial return on the public's investment in a unique historic site and recent investments in maintaining the site for safety and an enhanced visitor experience.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.culher.2020.04.007","usgsCitation":"Sinclair, W., Huber, C., and Richardson, L., 2020, Valuing tourism to a historic World War II national memorial: Journal of Cultural Heritage, v. 45, p. 334-338, https://doi.org/10.1016/j.culher.2020.04.007.","productDescription":"5 p.","startPage":"334","endPage":"338","ipdsId":"IP-107057","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":380065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Hawaii","otherGeospatial":"Pearl Harbor, Honolulu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.03386688232422,\n              21.31080568603828\n            ],\n            [\n              -157.91851043701172,\n              21.31080568603828\n            ],\n            [\n              -157.91851043701172,\n              21.400015935143976\n            ],\n            [\n              -158.03386688232422,\n              21.400015935143976\n            ],\n            [\n              -158.03386688232422,\n              21.31080568603828\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sinclair, Wilson","contributorId":219796,"corporation":false,"usgs":false,"family":"Sinclair","given":"Wilson","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":803760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber, Christopher 0000-0001-8446-8134 chuber@usgs.gov","orcid":"https://orcid.org/0000-0001-8446-8134","contributorId":127600,"corporation":false,"usgs":true,"family":"Huber","given":"Christopher","email":"chuber@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":803761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, Leslie","contributorId":197525,"corporation":false,"usgs":false,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":803762,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227630,"text":"70227630 - 2020 - The influence of snow cover, air temperature, and groundwater flow on the active-layer thermal regime of Arctic hillslopes drained by water tracks","interactions":[],"lastModifiedDate":"2022-01-21T12:51:58.384286","indexId":"70227630","displayToPublicDate":"2020-05-26T06:49:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"The influence of snow cover, air temperature, and groundwater flow on the active-layer thermal regime of Arctic hillslopes drained by water tracks","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Permafrost in Arctic watersheds limits soil biological activity to a thin, seasonally thawed active layer that contributes water to streams. In many hillslopes, relatively wet drainage features called water tracks have distinct freeze-thaw patterns that affect groundwater flow and storage, and thus the export of heat and solutes to Arctic streams. This study uses groundwater flow and energy transport models to examine potential controls on the timing and duration of freeze–thaw conditions and the magnitude of temperature fluctuations within water tracks and their adjacent hillslopes. The simulated length of the active-layer thaw season varies by 1&nbsp;month over the range of snow-cover and mean annual air-temperature scenarios simulated. The timing and duration of freezing is particularly sensitive to depth and duration of snow cover. Thus, the deeper snowpack covers that can accumulate in water tracks contribute to their more persistent thaw conditions and their ability to conduct groundwater downslope. A three-dimensional simulation shows that during the summer thaw season, the water track captures groundwater laterally from half way across the hillslope. The models presented here elucidate key mechanisms driving small-scale variation in the active-layer thermal regime of tundra hillslopes, which may be responsible for changes in drainage-network geometry and Arctic biogeochemical fluxes under a warming climate.</p></div></div><div id=\"Abs2-section\" class=\"c-article-section\"><br></div>","language":"English","publisher":"Springer","doi":"10.1007/s10040-020-02166-2","usgsCitation":"Rushlow, C.R., Sawyer, A.H., Voss, C., and Godsey, S., 2020, The influence of snow cover, air temperature, and groundwater flow on the active-layer thermal regime of Arctic hillslopes drained by water tracks: Hydrogeology Journal, v. 28, p. 2057-2069, https://doi.org/10.1007/s10040-020-02166-2.","productDescription":"13 p.","startPage":"2057","endPage":"2069","ipdsId":"IP-117323","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":394647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.828125,\n              69.3493386397765\n            ],\n            [\n              -141.15234374999997,\n              69.3493386397765\n            ],\n            [\n              -141.15234374999997,\n              71.69129271863999\n            ],\n            [\n              -163.828125,\n              71.69129271863999\n            ],\n            [\n              -163.828125,\n              69.3493386397765\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","noUsgsAuthors":false,"publicationDate":"2020-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rushlow, Caitlin R","contributorId":223121,"corporation":false,"usgs":false,"family":"Rushlow","given":"Caitlin","email":"","middleInitial":"R","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":831421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, Audrey H","contributorId":272060,"corporation":false,"usgs":false,"family":"Sawyer","given":"Audrey","email":"","middleInitial":"H","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":831422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":831423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godsey, Sarah E","contributorId":223120,"corporation":false,"usgs":false,"family":"Godsey","given":"Sarah E","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":831424,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210614,"text":"70210614 - 2020 - Protecting the wildland-urban interface in California: Greenbelts vs thinning for wildfire threats to homes","interactions":[],"lastModifiedDate":"2020-10-12T17:57:33.371858","indexId":"70210614","displayToPublicDate":"2020-05-25T12:03:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1092,"text":"Bulletin, Southern California Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Protecting the wildland-urban interface in California: Greenbelts vs thinning for wildfire threats to homes","docAbstract":"This study utilized native chaparral and sage scrub shrubs to evaluate the impact of light summer irrigation on live fuel moisture content (LFMC) and predicted fire behavior. As to be expected LFMC varied markedly throughout the year being over 100% in winter in all species and treatments but differed markedly by treatment in the summer and fall. For most species lightly irrigated plants had the highest LFMC in the summer and fall, followed by thinned treatments and controls. These differences in moisture content coupled with structural differences in the vegetation contributed to expected differences in flame length and rate of spread. Lightly irrigated native shrubs planted around homes can reduce fire hazard and at the same time increase faunal diversity and other desirable features of utilizing native vegetation.","language":"English","publisher":"Southern California Academy of Sciences","doi":"10.3160/0038-3872-119.1.35","usgsCitation":"Keeley, J., Rubin, G., Brennan, T.J., and Piffard, B., 2020, Protecting the wildland-urban interface in California: Greenbelts vs thinning for wildfire threats to homes: Bulletin, Southern California Academy of Sciences, v. 119, no. 1, p. 35-47, https://doi.org/10.3160/0038-3872-119.1.35.","productDescription":"13 p.","startPage":"35","endPage":"47","ipdsId":"IP-114114","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497358,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.biodiversitylibrary.org/part/425020","text":"External 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,{"id":70210617,"text":"70210617 - 2020 - Mitigation ponds offer drought resiliency for western spadefoot (Spea hammondii) populations","interactions":[],"lastModifiedDate":"2020-06-12T16:55:39.929827","indexId":"70210617","displayToPublicDate":"2020-05-25T11:48:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1092,"text":"Bulletin, Southern California Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mitigation ponds offer drought resiliency for western spadefoot (<i>Spea hammondii</i>) populations","title":"Mitigation ponds offer drought resiliency for western spadefoot (Spea hammondii) populations","docAbstract":"<p id=\"ID0EF\" class=\"first\">Synergistic effects of habitat loss, drought, and climate change exacerbate amphibian declines. In southern California urbanization continues to convert natural habitat, while prolonged drought reduces surface water availability. Protection of biodiversity may be provided through mitigation; however, the long-term effectiveness of different strategies is often unreported. As a mitigation measure for building a new development within occupied<span>&nbsp;</span><i>Spea hammondii</i><span>&nbsp;</span>(western spadefoot) habitat in Orange County, California, artificial breeding pools were constructed at two off-site locations.<span>&nbsp;</span><i>Spea hammondii</i><span>&nbsp;</span>tadpoles were translocated from the pools at the development site to two off-site locations in 2005–2006. We conducted surveys a decade later (2016) to determine if<span>&nbsp;</span><i>S. hammondii</i><span>&nbsp;</span>were persisting and breeding successfully at either the original development site or the human-made pools at the two mitigation sites. We also verified hydroperiods of any existing pools at all three locations to see if any held water long enough for successful<span>&nbsp;</span><i>S. hammondii</i><span>&nbsp;</span>recruitment through metamorphosis.</p><p id=\"ID0EP\">During our study, no pooling water was detected at two of three main sites surveyed, and no<span>&nbsp;</span><i>S. hammondii</i><span>&nbsp;</span>were observed at these locations. Twelve of the 14 pools created at only one of the two mitigation sites held water for over 30 d, and we detected successful breeding at seven of these pools. Recruitment in some mitigation ponds indicated that<span>&nbsp;</span><i>S. hammondii</i><span>&nbsp;</span>habitat can be created and maintained over 10+ yr, even during the fifth year of a catastrophic drought. Therefore, this may also serve as a conservation strategy to mitigate climate change and habitat loss.</p>","language":"English","publisher":"Southern California Academy of Sciences","doi":"10.3160/0038-3872-119.1.6","usgsCitation":"Baumberger, K.L., Backlin, A.R., Gallegos, E., Hitchcock, C.J., and Fisher, R.N., 2020, Mitigation ponds offer drought resiliency for western spadefoot (Spea hammondii) populations: Bulletin, Southern California Academy of Sciences, v. 119, no. 1, p. 6-17, https://doi.org/10.3160/0038-3872-119.1.6.","productDescription":"12 p.","startPage":"6","endPage":"17","ipdsId":"IP-115950","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497412,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.biodiversitylibrary.org/part/425022","text":"External Repository"},{"id":375559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange County","city":"East Orange","otherGeospatial":"Irvine Mesa, Shoestring Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.7902603149414,\n              33.6892100935496\n            ],\n            [\n              -117.57705688476564,\n              33.6892100935496\n            ],\n            [\n              -117.57705688476564,\n              33.82507883099226\n            ],\n            [\n              -117.7902603149414,\n              33.82507883099226\n            ],\n            [\n              -117.7902603149414,\n              33.6892100935496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baumberger, Katherine L. 0000-0002-2150-6372 kbaumberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2150-6372","contributorId":225260,"corporation":false,"usgs":true,"family":"Baumberger","given":"Katherine","email":"kbaumberger@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallegos, Elizabeth 0000-0002-8402-2631 egallegos@usgs.gov","orcid":"https://orcid.org/0000-0002-8402-2631","contributorId":1528,"corporation":false,"usgs":true,"family":"Gallegos","given":"Elizabeth","email":"egallegos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitchcock, Cynthia Joan 0000-0001-9293-043X","orcid":"https://orcid.org/0000-0001-9293-043X","contributorId":225261,"corporation":false,"usgs":true,"family":"Hitchcock","given":"Cynthia","email":"","middleInitial":"Joan","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790863,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210595,"text":"70210595 - 2020 - Emergence of a zoonotic pathogen in a coastal marine sentinel: Capillaria hepatica (syn. Calodium hepaticum)-associated hepatitis in southern sea otters (Enhydra lutris nereis)","interactions":[],"lastModifiedDate":"2020-06-11T16:18:24.652869","indexId":"70210595","displayToPublicDate":"2020-05-25T11:14:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Emergence of a zoonotic pathogen in a coastal marine sentinel: <i>Capillaria hepatica</i> (syn. <i>Calodium hepaticum</i>)-associated hepatitis in southern sea otters (<i>Enhydra lutris nereis</i>)","title":"Emergence of a zoonotic pathogen in a coastal marine sentinel: Capillaria hepatica (syn. Calodium hepaticum)-associated hepatitis in southern sea otters (Enhydra lutris nereis)","docAbstract":"<p><i>Capillaria hepatica</i><span>&nbsp;is a globally distributed zoonotic nematode parasite that most commonly infects feral and native rats. Soil contact, pica, and living in close proximity to rat populations are risk factors for human infection. Larval nematodes and eggs that were morphologically consistent with&nbsp;</span><i>C. hepatica</i><span>&nbsp;were observed microscopically in livers of stranded southern sea otters (</span><i>Enhydra lutris nereis</i><span>) from California. Large (90–100 × 45–55 μm), barrel-shaped non-embryonated parasite eggs with large polar prominences and a roughened or striated surface, or 105–120 μm diameter larval aphasmid nematode profiles with a prominent stichosome and hypodermal bands were observed in the livers of three otters. The liver of a fourth animal exhibited serpiginous tracts of necrosis, micro-cavitation and pleocellular inflammation, with intralesional linear eosinophilic material that resembled cuticle from degenerating metazoan parasites.&nbsp;</span><i>Capillaria hepatica</i><span>-associated hepatitis and capsular adhesions were the cause of death for one otter, and parasite-associated liver lesions were observed in all cases. All infected otters were adult females that stranded from 2006 through 2016 at multiple sites along the central California coast. All cases stranded from December through May; during and soon after peak seasonal precipitation and land-sea runoff in California. This same seasonal pattern has been reported for other land-based parasites infecting southern sea otters. Neither&nbsp;</span><i>C. hepatica</i><span>, nor any similar nematodes have been reported from marine mammals, and southern sea otters are not typical hosts for&nbsp;</span><i>C. hepatica</i><span>&nbsp;or any other nematode parasites. The most likely route of exposure was via freshwater runoff containing embryonated eggs liberated from predated or decomposing terrestrial hosts, especially rats. Similar to the land-based parasites&nbsp;</span><i>Toxoplasma gondii</i><span>&nbsp;and&nbsp;</span><i>Sarcocystis neurona</i><span>,&nbsp;</span><i>C. hepatica</i><span>&nbsp;eggs may be concentrated and transmitted through filter-feeding marine invertebrates that serve as southern sea otter prey, which may also pose an unrecognized public health risk for people who consume these species.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.00335","usgsCitation":"Miller, M.A., Duignan, P.J., Dodd, E., Batac, F., Staedler, M.M., Tomoleoni, J.A., Murray, M.J., Harris, H., and Gardiner, C., 2020, Emergence of a zoonotic pathogen in a coastal marine sentinel: Capillaria hepatica (syn. Calodium hepaticum)-associated hepatitis in southern sea otters (Enhydra lutris nereis): Frontiers in Marine Science, v. 7, 335, 11 p., https://doi.org/10.3389/fmars.2020.00335.","productDescription":"335, 11 p.","ipdsId":"IP-099837","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":456661,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00335","text":"Publisher Index Page"},{"id":375521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.79443359375,\n              36.31512514748051\n            ],\n       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Wildlife","active":true,"usgs":false}],"preferred":false,"id":790738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duignan, Padraig J","contributorId":225200,"corporation":false,"usgs":false,"family":"Duignan","given":"Padraig","email":"","middleInitial":"J","affiliations":[{"id":41072,"text":"The Marine Mammal Center","active":true,"usgs":false}],"preferred":false,"id":790739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dodd, Erin","contributorId":91058,"corporation":false,"usgs":false,"family":"Dodd","given":"Erin","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":790740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batac, Francesca","contributorId":214306,"corporation":false,"usgs":false,"family":"Batac","given":"Francesca","affiliations":[{"id":6953,"text":"Monterey Bay 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