{"pageNumber":"473","pageRowStart":"11800","pageSize":"25","recordCount":184582,"records":[{"id":70229674,"text":"70229674 - 2021 - Eastern Imperial Eagle Aquila heliaca","interactions":[],"lastModifiedDate":"2022-03-14T16:46:33.701118","indexId":"70229674","displayToPublicDate":"2021-07-29T08:21:12","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Eastern Imperial Eagle Aquila heliaca","docAbstract":"

Eastern imperial eagles are a short-, medium-distance, partially-migratory, or even non-migratory, raptor that breeds at the forest-steppe interface in Eurasia and winters in Northern Africa, the Middle East or South Asia. Migratory strategies of imperial eagles are diverse. Eagles breeding in Central and Southeast Europe and south of the Black Sea usually are year-round residents or partial- or short- distance migrants that winter in the Balkan Peninsula, Northern Africa, or western parts of the Middle East. Eagles that summer to the east of the Black Sea are usually medium-distance migrants that winter in the Middle East or south Asia. Migration tends to follow topographic features, avoids water-crossings and, especially for young birds, may be intermittent and indirect. Populations of imperial eagles are small, in decline in some parts of the distribution, and the species faces a large number of threats including electrocution, persecution, and capture for sale in markets.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Migration strategies of birds of prey in sestern Palearctic","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Bragin, E., Horvath, M., Poessel, S.A., and Katzner, T., 2021, Eastern Imperial Eagle Aquila heliaca, chap. 12 of Migration strategies of birds of prey in sestern Palearctic, 8 p,.","productDescription":"8 p,","ipdsId":"IP-112041","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":397058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bragin, Evgeny","contributorId":288428,"corporation":false,"usgs":false,"family":"Bragin","given":"Evgeny","affiliations":[],"preferred":false,"id":837879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horvath, Marton","contributorId":288429,"corporation":false,"usgs":false,"family":"Horvath","given":"Marton","email":"","affiliations":[],"preferred":false,"id":837880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":837881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":837882,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236722,"text":"70236722 - 2021 - Late Holocene slip rate of the Mojave section of the San Andreas Fault near Palmdale, California","interactions":[],"lastModifiedDate":"2022-09-16T12:28:22.314471","indexId":"70236722","displayToPublicDate":"2021-07-29T07:25:02","publicationYear":"2021","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}},"title":"Late Holocene slip rate of the Mojave section of the San Andreas Fault near Palmdale, California","docAbstract":"

The geologic slip rate on the Mojave section of the San Andreas fault is poorly constrained, despite its importance for understanding earthquake hazard, apparent discrepancies between geologic and geodetic slip rates along this fault section, and long‐term fault interactions in southern California. Here, we use surficial geologic mapping, excavations, and radiocarbon and luminescence dating to quantify the displacements and ages of late Holocene landforms offset by the fault at three sites. At the Ranch Center site, the slip rate is determined using the base of a fan marking incision and deflection of an ephemeral channel. At the adjacent Key Slide site, the margin of a landslide deposited on indigenous fire hearths provides a minimum rate. At the X‐12 site, the slip rate is determined from a channel that incised into a broad fan surface, and is deflected and beheaded by the fault. We use maximum–minimum bounds on both the displacement and age of each offset feature to calculate slip rate for each site independently. Overlap of the three independent rate ranges yields a rate of 33–39 mm/yr over the last 3 ka, under the assumption that the sites share a common history, given their proximity. Considered in sequence, site‐level epistemic uncertainties in the data permit but do not require a rate increase since ∼1200 cal B.P. Modest rate changes can be explained by aleatory variability in earthquake timing and magnitude; larger changes could suggest a shared regional variation with the Garlock and other faults. The new late Holocene slip rates are consistent with geodetic model estimates that include a viscoelastic crust and earthquake cycle effects. The geologic slip rates also provide average slip over dozens of earthquake cycles—a key constraint for long‐term earthquake rupture forecasts.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200278","usgsCitation":"Young, E., Cowgill, E., Scharer, K., Anderson-Merritt, E., Keen-Zebert, A., and Weldon, R.J., 2021, Late Holocene slip rate of the Mojave section of the San Andreas Fault near Palmdale, California: Bulletin of the Seismological Society of America, v. 111, no. 6, p. 3204-3225, https://doi.org/10.1785/0120200278.","productDescription":"22 p.","startPage":"3204","endPage":"3225","ipdsId":"IP-126803","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":406830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Palmdale","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.97918701171876,\n 34.252676117101515\n ],\n [\n -117.333984375,\n 34.252676117101515\n ],\n [\n -117.333984375,\n 35.07046911981966\n ],\n [\n -118.97918701171876,\n 35.07046911981966\n ],\n [\n -118.97918701171876,\n 34.252676117101515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Elaine","contributorId":296630,"corporation":false,"usgs":false,"family":"Young","given":"Elaine","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":852009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cowgill, Eric","contributorId":192850,"corporation":false,"usgs":false,"family":"Cowgill","given":"Eric","affiliations":[],"preferred":false,"id":852010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":852011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson-Merritt, Emery","contributorId":296632,"corporation":false,"usgs":false,"family":"Anderson-Merritt","given":"Emery","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":852012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keen-Zebert, Amanda","contributorId":224228,"corporation":false,"usgs":false,"family":"Keen-Zebert","given":"Amanda","email":"","affiliations":[{"id":40841,"text":"University of Nevada Reno / Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":852013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weldon, Ray J.","contributorId":175463,"corporation":false,"usgs":false,"family":"Weldon","given":"Ray","email":"","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":852014,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223233,"text":"70223233 - 2021 - Adult sockeye salmon responses to transplanting upstream of an impassable dam","interactions":[],"lastModifiedDate":"2022-01-06T17:15:45.339535","indexId":"70223233","displayToPublicDate":"2021-07-29T07:14:17","publicationYear":"2021","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":"Adult sockeye salmon responses to transplanting upstream of an impassable dam","docAbstract":"

The Yakama Nation manages a program for reintroducing Sockeye Salmon Oncorhynchus nerka upstream of Cle Elum Dam in the Yakima River basin. The program involves transplanting of a mix of adult Sockeye Salmon from two middle Columbia River donor stocks, Lake Wenatchee (WEN) and Osoyoos Lake (OSO), with the goal of establishing a self-sustaining population in the basin. In 2017, a subset of the transplanted population was radio-tagged and monitored to assess stock-specific responses to transplanting, including downstream entrainment at Cle Elum Dam (“fallback”) and prespawn mortality. Tagged fish were active during the first two weeks after release: some fish moved upstream into the Cle Elum River and then returned to the reservoir; other fish moved downstream and passed Cle Elum Dam. Movement within the study area diminished during August but increased in September when fish began migrating up the Cle Elum River for spawning. A greater proportion of WEN fish (76.3%) were detected entering the river compared to OSO fish (53.9%). The hazard ratio from a multistate analysis of fish behavior indicated that WEN fish were nine times more likely to enter the river than OSO fish. The WEN fish also initiated upstream movement three weeks earlier than OSO fish. We found that 27.0% of all tagged fish were lost to the spawning population through fallback (20.7%) and prespawn mortality (6.3%). Fallback and pre-spawn mortality occurred for a greater percentage of OSO fish (26.9% and 7.7%) than WEN fish (15.3% and 5.1%) but these differences were not statistically different. These results provide foundational information from the early phase of a reintroduction effort. Continued monitoring will be required as Sockeye Salmon evolve to conditions upstream of Cle Elum Dam, and results from these efforts will provide valuable insights for this reintroduction effort and others in river systems with similar characteristics.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10675","usgsCitation":"Kock, T.J., Evans, S., Saluskin, B.P., Matala, A.P., Visser, R., Johnston, M., Galbreath, P.F., and Pope, A., 2021, Adult sockeye salmon responses to transplanting upstream of an impassable dam: North American Journal of Fisheries Management, v. 41, no. 6, p. 1640-1651, https://doi.org/10.1002/nafm.10675.","productDescription":"12 p.","startPage":"1640","endPage":"1651","ipdsId":"IP-129926","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":451366,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10675","text":"Publisher Index Page"},{"id":388084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cle Elum Dam, Cle Elum River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.12701416015624,\n 47.23821935972681\n ],\n [\n -121.05422973632814,\n 47.23821935972681\n ],\n [\n -121.05422973632814,\n 47.41275567091137\n ],\n [\n -121.12701416015624,\n 47.41275567091137\n ],\n [\n -121.12701416015624,\n 47.23821935972681\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":214550,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":821475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Scott D. 0000-0003-0452-7726","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":220390,"corporation":false,"usgs":true,"family":"Evans","given":"Scott D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":821476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saluskin, Brian P.","contributorId":264408,"corporation":false,"usgs":false,"family":"Saluskin","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":54464,"text":"Yakama Nation Fisheries, 800 Spring Chinook Way, Post Office Box 836, Cle Elum, Washington 98922","active":true,"usgs":false}],"preferred":false,"id":821477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matala, Andrew P.","contributorId":167147,"corporation":false,"usgs":false,"family":"Matala","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":821478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Visser, Richard","contributorId":223646,"corporation":false,"usgs":false,"family":"Visser","given":"Richard","email":"","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":821479,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, Mark.V.","contributorId":264409,"corporation":false,"usgs":false,"family":"Johnston","given":"Mark.V.","email":"","affiliations":[{"id":54466,"text":"Yakama Nation Fisheries, 771 Pence Road, Yakima, Washington 98902","active":true,"usgs":false}],"preferred":false,"id":821480,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galbreath, Peter F.","contributorId":264410,"corporation":false,"usgs":false,"family":"Galbreath","given":"Peter","email":"","middleInitial":"F.","affiliations":[{"id":54467,"text":"Columbia River Inter-Tribal Fish Commission, 700 Northeast Multnomah Street, Suite 1200, Portland, Oregon 97232","active":true,"usgs":false}],"preferred":false,"id":821481,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":821482,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70236257,"text":"70236257 - 2021 - Pervasive changes in stream intermittency across the United States","interactions":[],"lastModifiedDate":"2022-08-31T12:19:33.492653","indexId":"70236257","displayToPublicDate":"2021-07-29T07:11:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Pervasive changes in stream intermittency across the United States","docAbstract":"

Non-perennial streams are widespread, critical to ecosystems and society, and the subject of ongoing policy debate. Prior large-scale research on stream intermittency has been based on long-term averages, generally using annually aggregated data to characterize a highly variable process. As a result, it is not well understood if, how, or why the hydrology of non-perennial streams is changing. Here, we investigate trends and drivers of three intermittency signatures that describe the duration, timing, and dry-down period of stream intermittency across the continental United States (CONUS). Half of gages exhibited a significant trend through time in at least one of the three intermittency signatures, and changes in no-flow duration were most pervasive (41% of gages). Changes in intermittency were substantial for many streams, and 7% of gages exhibited changes in annual no-flow duration exceeding 100 days during the study period. Distinct regional patterns of change were evident, with widespread drying in southern CONUS and wetting in northern CONUS. These patterns are correlated with changes in aridity, though drivers of spatiotemporal variability were diverse across the three intermittency signatures. While the no-flow timing and duration were strongly related to climate, dry-down period was most strongly related to watershed land use and physiography. Our results indicate that non-perennial conditions are increasing in prevalence over much of CONUS and binary classifications of 'perennial' and 'non-perennial' are not an accurate reflection of this change. Water management and policy should reflect the changing nature and diverse drivers of changing intermittency both today and in the future.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac14ec","usgsCitation":"Zipper, S., Hammond, J., Shanafield, M., Zimmer, M., Datry, T., Jones, C.N., Kaiser, K.E., Godsey, S., Burrow, R., Blaszczak, J., Busch, M., Price, A.N., Boersma, K., Ward, A., Costigan, K., Allen, G.H., Krabbenhoft, C., Dodds, W., Mims, M.C., Olden, J., Kampf, S.K., Burgin, A.J., and Allen, D., 2021, Pervasive changes in stream intermittency across the United States: Environmental Research Letters, v. 16, no. 8, 084033, 17 p., https://doi.org/10.1088/1748-9326/ac14ec.","productDescription":"084033, 17 p.","ipdsId":"IP-126458","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":451371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac14ec","text":"Publisher Index 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The Wind River Basin in Wyoming is one of many structural and sedimentary basins that formed in the Rocky Mountain foreland during the Laramide orogeny in the latest Cretaceous through the early Eocene. The basin (bounded by the Washakie, Owl Creek, and Bighorn uplifts on the north, the Casper arch on the east, the Granite Mountains uplift on the south, and Wind River uplift on the west) encompasses about 7,400 square miles in central Wyoming.

The two stratigraphic cross sections presented in this report were constructed as part of a project carried out by the U.S. Geological Survey to characterize and evaluate the undiscovered continuous (unconventional) oil and gas resources of the Mowry Shale in the Wind River Basin in central Wyoming. The purpose of the cross sections is to show the stratigraphic relationship of the Mowry Shale and associated Lower and lowermost Upper Cretaceous strata in the Wind River Basin. These two cross sections were constructed using borehole geophysical logs from 41 wells drilled for oil and gas exploration and production, and one research well that was cored and logged by the U.S. Geological Survey. Both lines originate at Sheldon Dome in the northwestern part of the basin and end near Bates Creek in the extreme southeastern part of the basin. The stratigraphic interval extends from the uppermost part of the Upper Jurassic Morrison Formation to the basal part of the Upper Cretaceous Frontier Formation. The datum is the top of the Clay Spur Bentonite Bed, a distinctive bed at the top of the Upper Cretaceous Mowry Shale. A gamma ray and (or) spontaneous potential log was used in combination with a resistivity log to identify and correlate units.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3476","usgsCitation":"Finn, T.M., 2021, Stratigraphic cross sections of the Mowry Shale and associated strata in the Wind River Basin, Wyoming: U.S. Geological Survey Scientific Investigations Map 3476, 1 sheet,14-p. pamphlet, https://doi.org/10.3133/sim3476.","productDescription":"Report: iv, 14 p.; 1 Sheet: 59.67 x 28.80 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-122529","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":387326,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y7SLB6","text":"USGS data release","linkHelpText":"Tops file for the Mowry Shale and associated strata in the Wind River Basin, Wyoming"},{"id":387325,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3476/sim3476_sheet.pdf","text":"Sheet—","size":"1.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3476 Sheet","linkHelpText":"Stratigraphic Cross Sections of the Mowry Shale and Associated Strata in the Wind River Basin, Wyoming"},{"id":387324,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3476/sim3476_pamphlet.pdf","text":"Report","size":"4.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3476 Pamphlet"},{"id":387323,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3476/coverthb_sheet.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Wind River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.35791015625,\n 43.644025847699496\n ],\n [\n -109.5556640625,\n 43.75522505306928\n ],\n [\n -109.8193359375,\n 43.644025847699496\n ],\n [\n -109.31396484375,\n 42.73087427928485\n ],\n [\n -109.13818359375,\n 42.48830197960227\n ],\n [\n -108.12744140625,\n 42.24478535602799\n ],\n [\n -107.8857421875,\n 42.48830197960227\n ],\n [\n -107.07275390625,\n 42.342305278572816\n ],\n [\n -106.23779296875,\n 42.114523952464246\n ],\n [\n -105.97412109375,\n 42.049292638686836\n ],\n [\n -105.71044921875,\n 42.16340342422401\n ],\n [\n -105.75439453125,\n 42.4234565179383\n ],\n [\n -106.01806640624999,\n 42.66628070564928\n ],\n [\n -106.63330078125,\n 43.08493742707592\n ],\n [\n -108.08349609375,\n 43.51668853502906\n ],\n [\n -109.35791015625,\n 43.644025847699496\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2021-07-28","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":819631,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70222415,"text":"fs20213033 - 2021 - The Everglades vulnerability analysis—Integrating ecological models and addressing uncertainty","interactions":[],"lastModifiedDate":"2021-07-30T12:12:10.313223","indexId":"fs20213033","displayToPublicDate":"2021-07-28T13:59:48","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3033","displayTitle":"The Everglades Vulnerability Analysis: Integrating Ecological Models and Addressing Uncertainty","title":"The Everglades vulnerability analysis—Integrating ecological models and addressing uncertainty","docAbstract":"

The Everglades vulnerability analysis (EVA) is a project led by the U.S. Geological Survey in cooperation with the National Park Service and U.S. Army Corps of Engineers to accomplish one of the science goals of Restoration Coordination & Verification (RECOVER), a multiagency group responsible for providing scientific and technical evaluations and assessments for improving the ability of the Comprehensive Everglades Restoration Plan to restore, preserve, and protect the south Florida ecosystem while providing for the region’s other water-related needs. In 2016, RECOVER acknowledged the need for a tool that could synthesize the decades of Everglades ecosystem science and identify areas vulnerable to changing conditions on the landscape. The EVA tool answers this need through a landscape-scale modeling framework that provides annual responses and relative vulnerability for a suite of indicators of Everglades ecosystem health.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213033","collaboration":"Prepared in cooperation with the National Park Service and U.S. Army Corps of Engineers","usgsCitation":"D’Acunto, L.E., Romañach, S.S., Haider, S.M., Hackett, C.E., Nestler, J.H., Shinde, D., and Pearlstine, L.G., 2021, The Everglades vulnerability analysis—Integrating ecological models and addressing uncertainty: U.S. Geological Survey Fact Sheet 2021–3033, 4 p., https://doi.org/10.3133/fs20213033.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-127682","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":387501,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3033/coverthb.jpg"},{"id":387502,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3033/fs20213033.pdf","text":"Report","size":"1.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021–3033"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.859130859375,\n 25.90864446329127\n ],\n [\n -81.49658203125,\n 25.224820176765036\n ],\n [\n -80.88134765625,\n 24.956180020055925\n ],\n [\n -80.2880859375,\n 25.005972656239187\n ],\n [\n -79.815673828125,\n 26.578702269100557\n ],\n [\n -81.968994140625,\n 26.578702269100557\n ],\n [\n -81.859130859375,\n 25.90864446329127\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.694580078125,\n 25.839449402063185\n ],\n [\n -80.68359375,\n 25.839449402063185\n ],\n [\n -80.68359375,\n 25.859223554761407\n ],\n [\n -80.694580078125,\n 25.859223554761407\n ],\n [\n -80.694580078125,\n 25.839449402063185\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71st St.
Gainesville, FL 32653

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-07-28","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"D’Acunto, Laura E. 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":261399,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":257520,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","email":"","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hackett, Caitlin E. 0000-0003-3934-4321","orcid":"https://orcid.org/0000-0003-3934-4321","contributorId":261435,"corporation":false,"usgs":true,"family":"Hackett","given":"Caitlin","email":"","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nestler, Jennifer H. 0000-0003-4552-1734","orcid":"https://orcid.org/0000-0003-4552-1734","contributorId":225643,"corporation":false,"usgs":false,"family":"Nestler","given":"Jennifer","email":"","middleInitial":"H.","affiliations":[{"id":41177,"text":"Cherokee Federal, contracted to Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":820019,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shinde, Dilip","contributorId":261436,"corporation":false,"usgs":false,"family":"Shinde","given":"Dilip","email":"","affiliations":[],"preferred":false,"id":820020,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":820021,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222428,"text":"fs20213040 - 2021 - Quality of groundwater used for domestic supply in the northern San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2021-07-30T12:25:06.69798","indexId":"fs20213040","displayToPublicDate":"2021-07-28T13:50:26","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3040","displayTitle":"Quality of Groundwater Used for Domestic Supply in the Northern San Joaquin Valley, California","title":"Quality of groundwater used for domestic supply in the northern San Joaquin Valley, California","docAbstract":"

Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project (PBP) of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and provides increased public access to groundwater-quality information. Private domestic and small-system drinking-water wells in the Northern San Joaquin Valley (NSJV) were the target for this assessment. These wells tend to pump water from shallower parts of alluvial aquifers compared to deeper, long-screened public-supply wells in the region.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213040","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Levy, Z.F., Balkan, M., and Shelton, J.L., 2021, Quality of groundwater used for domestic supply in the northern San Joaquin Valley, California: U.S. Geological Survey Fact Sheet 2021-3040, 4 p., https://doi.org/10.3133/fs20213040.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-125403","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":436258,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q083IB","text":"USGS data release","linkHelpText":"Groundwater-quality data in the Northern San Joaquin Valley Domestic-Supply Aquifer Study Unit, 2019: Results from the California GAMA Priority Basin Project"},{"id":387514,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2021/3040/images"},{"id":387513,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2021/3040/fs20213040.xml"},{"id":387512,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3040/fs20213040.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":387511,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3040/covrthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.607666015625,\n 37.76854362092148\n ],\n [\n -121.14761352539061,\n 37.76854362092148\n ],\n [\n -121.14761352539061,\n 38.24249456800328\n ],\n [\n -121.607666015625,\n 38.24249456800328\n ],\n [\n -121.607666015625,\n 37.76854362092148\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

GAMA Project Chief
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, CA 95819
Telephone number: (916) 278-3000

GAMA Program Unit Chief
State Water Resources Control Board
Division of Water Quality
PO Box 2231, Sacramento, CA 95812
Telephone number: (916) 341-5855

","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-07-28","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Levy, Zeno F. 0000-0003-4580-2309 zflevy@usgs.gov","orcid":"https://orcid.org/0000-0003-4580-2309","contributorId":219572,"corporation":false,"usgs":true,"family":"Levy","given":"Zeno","email":"zflevy@usgs.gov","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balkan, Mariia 0000-0003-1102-588X","orcid":"https://orcid.org/0000-0003-1102-588X","contributorId":221265,"corporation":false,"usgs":true,"family":"Balkan","given":"Mariia","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820025,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221880,"text":"sir20215063 - 2021 - Peak-flow variability, peak-flow informational needs, and consideration of regional regression analyses in managing the crest-stage gage network in Montana","interactions":[],"lastModifiedDate":"2021-07-30T11:51:22.105534","indexId":"sir20215063","displayToPublicDate":"2021-07-28T11:59:19","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5063","displayTitle":"Peak-Flow Variability, Peak-Flow Informational Needs, and Consideration of Regional Regression Analyses in Managing the Crest-Stage Gage Network in Montana","title":"Peak-flow variability, peak-flow informational needs, and consideration of regional regression analyses in managing the crest-stage gage network in Montana","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with the Montana Department of Transportation (MDT), has operated a crest-stage gage (CSG) network in Montana to collect peak-flow data since 1955. The CSG network is vital to collecting peak-flow data on small drainage basins that typically are not addressed by continuous streamflow operations. Discussions between USGS and MDT identified a need for evaluating the CSG network to allow for better decision making in the management of the network. The purpose of this report is to (1) generally describe peak-flow variability in Montana, (2) assess peak-flow informational needs relevant to MDT activities, and (3) consider the characteristics of the active CSG network in relation to addressing the informational needs. The evaluation of the CSG network is intended to assist in prioritization for discontinuation of CSGs and other activities involving changes to the CSG network.

Peak-flow variability was investigated by analysis of selected peak-flow characteristics of 659 unregulated streamgages in or near Montana. A generalized peak-flow variability index (PFVI) was developed to provide large-scale representation of peak-flow variability in Montana. For unregulated Montana streamgages, PFVI generally monotonically decreases with increasing drainage area, although there is somewhat large (but generally consistent) variability about the locally weighted scatterplot smooth line. Presumably, highly variable small-scale hydroclimatic processes are integrated with increasing drainage area such that variability in many hydrologic characteristics is reduced. PFVI also decreases with increasing mean basin elevation and mean annual precipitation. Presumably, higher elevation and wetter hydroclimatic settings in Montana contribute to reduced variability in hydrologic characteristics. Intuitively, PFVI might be expected to generally decrease with increasing years of record because the standard deviation might typically be expected to decrease with increasing sample size. However, relations among PFVI and years of record are more complex and variable than drainage area, elevation, and precipitation. PFVI variably increases from 10 to about 40 years of record and then generally monotonically decreases from about 40 to about 105 years of record. Relations among PFVI and the years of record might be confounded by effects of drainage area because streamgages with long periods of record (greater than about 60 years) generally have large drainage areas (greater than about 100 square miles).

The relations between PFVI and drainage area, mean basin elevation, mean annual precipitation, and years of record substantially differ among the eight hydrologic regions in Montana. As such, the PFVI relations were further investigated within each hydrologic region.

A major use of peak-flow information by MDT is for design of road and highway infrastructure, including bridges, culverts, and roadside drainage ditches. As such, basin characteristics (including drainage area, mean basin elevation, and mean annual precipitation) of the Montana streamgage network (735 regulated and unregulated streamgages) were statistically investigated in relation to basin characteristics of 12,639 road and stream intersections in Montana. Both regulated and unregulated streamgages were investigated because the road and stream intersections are on both regulated and unregulated streams. Exploratory analyses indicated that the various relations substantially differ among the hydrologic regions. As such, the relations between the Montana streamgage network and the road and stream intersections were further investigated within each hydrologic region.

An important objective of the CSG network is to provide data for developing regional regression equations (RREs) for estimating frequencies at ungaged sites in Montana. Various characteristics of the RREs substantially differ among the eight hydrologic regions in Montana. As such, the RRE characteristics were further investigated within each hydrologic region.

For each of the eight hydrologic regions, various characteristics of peak-flow variability, peak-flow informational needs, and regional regression analyses were investigated in detail. Possible shortcomings of the streamgage network in each hydrologic region are identified and possible future improvements to the CSG network are presented.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215063","collaboration":"Prepared in cooperation with the Montana Department of Transportation","usgsCitation":"Sando, S.K., 2021, Peak-flow variability, peak-flow informational needs, and consideration of regional regression analyses in managing the crest-stage gage network in Montana: U.S. Geological Survey Scientific Investigations Report 2021–5063, 124 p., https://doi.org/10.3133/sir20215063.","productDescription":"Report: x, 124 p.; Data Release; Dataset","numberOfPages":"138","onlineOnly":"Y","ipdsId":"IP-121407","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":387116,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5063/coverthb.jpg"},{"id":387117,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5063/sir20215063.pdf","text":"Report","size":"14.1 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\"}}]}","contact":"

Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-07-28","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":203451,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"","middleInitial":"K.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":819190,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70223765,"text":"70223765 - 2021 - The influence of subcolony-scale nesting habitat on the reproductive success of Adélie penguins","interactions":[],"lastModifiedDate":"2021-09-07T15:54:05.451384","indexId":"70223765","displayToPublicDate":"2021-07-28T10:43:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"The influence of subcolony-scale nesting habitat on the reproductive success of Adélie penguins","docAbstract":"

Group-size variation is common in colonially breeding species, including seabirds, whose breeding colonies can vary in size by several orders of magnitude. Seabirds are some of the most threatened marine taxa and understanding the drivers of colony size variation is more important than ever. Reproductive success is an important demographic parameter that can impact colony size, and it varies in association with a number of factors, including nesting habitat quality. Within colonies, seabirds often aggregate into distinct groups or subcolonies that may vary in quality. We used data from two colonies of Adélie penguins 73 km apart on Ross Island, Antarctica, one large and one small to investigate (1) How subcolony habitat characteristics influence reproductive success and (2) How these relationships differ at a small (Cape Royds) and large (Cape Crozier) colony with different terrain characteristics. Subcolonies were characterized using terrain attributes (elevation, slope aspect, slope steepness, wind shelter, flow accumulation), as well group characteristics (area/size, perimeter-to-area ratio, and proximity to nest predators). Reproductive success was higher and less variable at the larger colony while subcolony characteristics explained more of the variance in reproductive success at the small colony. The most important variable influencing subcolony quality at both colonies was perimeter-to-area ratio, likely reflecting the importance of nest predation by south polar skuas along subcolony edges. The small colony contained a higher proportion of edge nests thus higher potential impact from skua nest predation. Stochastic environmental events may facilitate smaller colonies becoming “trapped” by nest predation: a rapid decline in the number of breeding individuals may increase the proportion of edge nests, leading to higher relative nest predation and hindering population recovery. Several terrain covariates were retained in the final models but which variables, the shapes of the relationships, and importance varied between colonies.

","language":"English","publisher":"Nature Publications","doi":"10.1038/s41598-021-94861-7","usgsCitation":"Schmidt, A.E., Ballard, G., Lescroël, A., Dugger, K., Jongsomjit, D., Elrod, M.L., and Ainley, D., 2021, The influence of subcolony-scale nesting habitat on the reproductive success of Adélie penguins: Scientific Reports, v. 11, 15380, 15 p., https://doi.org/10.1038/s41598-021-94861-7.","productDescription":"15380, 15 p.","ipdsId":"IP-105335","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":451374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-94861-7","text":"Publisher Index Page"},{"id":388881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Cape Crozier, Cape Royds, Ross Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 160.1806640625,\n -78.56048828398782\n ],\n [\n 173.32031249999997,\n -78.56048828398782\n ],\n [\n 173.32031249999997,\n -75.28657817848102\n ],\n [\n 160.1806640625,\n -75.28657817848102\n ],\n [\n 160.1806640625,\n -78.56048828398782\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Annie E.","contributorId":265338,"corporation":false,"usgs":false,"family":"Schmidt","given":"Annie","email":"","middleInitial":"E.","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballard, Grant","contributorId":265339,"corporation":false,"usgs":false,"family":"Ballard","given":"Grant","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lescroël, Amélie","contributorId":265340,"corporation":false,"usgs":false,"family":"Lescroël","given":"Amélie","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jongsomjit, Dennis","contributorId":265341,"corporation":false,"usgs":false,"family":"Jongsomjit","given":"Dennis","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elrod, Megan L.","contributorId":265342,"corporation":false,"usgs":false,"family":"Elrod","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822582,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ainley, David G.","contributorId":265343,"corporation":false,"usgs":false,"family":"Ainley","given":"David G.","affiliations":[],"preferred":false,"id":822583,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222464,"text":"70222464 - 2021 - Energetic and health effects of protein overconsumption constrain dietary adaptation in an apex predator","interactions":[],"lastModifiedDate":"2021-07-30T13:48:03.311016","indexId":"70222464","displayToPublicDate":"2021-07-28T08:45:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Energetic and health effects of protein overconsumption constrain dietary adaptation in an apex predator","docAbstract":"

Studies of predator feeding ecology commonly focus on energy intake. However, captive predators have been documented to selectively feed to optimize macronutrient intake. As many apex predators experience environmental changes that affect prey availability, limitations on selective feeding can affect energetics and health. We estimated the protein:fat ratio of diets consumed by wild polar bears using a novel isotope-based approach, measured protein:fat ratios selected by zoo polar bears offered dietary choice and examined potential energetic and health consequences of overconsuming protein. Dietary protein levels selected by wild and zoo polar bears were low and similar to selection observed in omnivorous brown bears, which reduced energy intake requirements by 70% compared with lean meat diets. Higher-protein diets fed to zoo polar bears during normal care were concurrent with high rates of mortality from kidney disease and liver cancer. Our results suggest that polar bears have low protein requirements and that limitations on selective consumption of marine mammal blubber consequent to climate change could meaningfully increase their energetic costs. Although bear protein requirements appear lower than those of other carnivores, the energetic and health consequences of protein overconsumption identified in this study have the potential to affect a wide range of taxa.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-021-94917-8","usgsCitation":"Rode, K.D., Robbins, C.T., Stricker, C.A., Taras, B.D., and Tollefson, T.N., 2021, Energetic and health effects of protein overconsumption constrain dietary adaptation in an apex predator: Scientific Reports, v. 11, 15309, 11 p., https://doi.org/10.1038/s41598-021-94917-8.","productDescription":"15309, 11 p.","ipdsId":"IP-125790","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451376,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-94917-8","text":"Publisher Index Page"},{"id":436259,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W7MP0T","text":"USGS data release","linkHelpText":"Protein and Fat Consumption of Zoo Polar Bears in 14-day Ad Libitum Trials, 2019-2020"},{"id":387590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":820115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, Charles T.","contributorId":32436,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":820116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":820117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taras, Brian D.","contributorId":207216,"corporation":false,"usgs":false,"family":"Taras","given":"Brian","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":820118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tollefson, Troy N","contributorId":261517,"corporation":false,"usgs":false,"family":"Tollefson","given":"Troy","email":"","middleInitial":"N","affiliations":[{"id":52863,"text":"Mazuri Exotic Nutrition","active":true,"usgs":false}],"preferred":false,"id":820119,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222467,"text":"70222467 - 2021 - Timing and hydrological conditions associated with bigheaded carp movement past navigation dams on the upper Mississippi river","interactions":[],"lastModifiedDate":"2021-10-18T14:20:02.027547","indexId":"70222467","displayToPublicDate":"2021-07-28T08:40:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Timing and hydrological conditions associated with bigheaded carp movement past navigation dams on the upper Mississippi river","docAbstract":"

As the range of non-native bigheaded carps (Hypophthalmichthys spp.) continues to expand throughout river systems of the United States, managers are tasked with preventing or slowing the spread of these invasive species. Main stem navigation dams on the upper Mississippi River, long considered a deterrent to fish migration, may slow or prevent the spread of invasive fish species. As discharge increases, hydraulic head (i.e., difference between upstream elevation and downstream elevation) at these navigation dams decreases, which is believed to allow for easier fish passage. We used acoustic telemetry to investigate the occurrence, frequency, and timing of bigheaded carp passage of upper Mississippi River dams, along with factors related to successful dam passage. During 2013 through 2017, adult silver carp (H. molitrix), bighead carp (H. nobilis) and their hybrids (N = 358) were tracked throughout the upper Mississippi River. A total of 1078 dam passages by bigheaded carps (N = 158) were observed past 15 dams. Seventy-eight percent of dam passages occurred during April through July. Cox proportional hazards regression models indicated that both upstream and downstream dam passages by these species were strongly affected by hydraulic head height at the dam and water temperature, with dam passages increasing as hydraulic head decreased and water temperature increased. A few dams rarely experience low hydraulic head and passages of those dams by bigheaded carps were rare. This information can be used by managers to develop strategies (e.g., placement of deterrent technologies, targeted removal efforts) to slow the spread of these invasive species.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-021-02583-8","usgsCitation":"Vallazza, J.M., Mosel, K.J., Reineke, D.M., Runstrom, A.L., Larson, J.H., and Knights, B.C., 2021, Timing and hydrological conditions associated with bigheaded carp movement past navigation dams on the upper Mississippi river: Biological Invasions, v. 23, p. 3409-3425, https://doi.org/10.1007/s10530-021-02583-8.","productDescription":"17 p.","startPage":"3409","endPage":"3425","ipdsId":"IP-113126","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":436260,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BVCVV2","text":"USGS data release","linkHelpText":"Data for dam passage analysis of bigheaded carps in Pools 15-19 of the upper Mississippi River during 2014-2017"},{"id":387588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.82421875,\n 38.47939467327645\n ],\n [\n -90.263671875,\n 39.87601941962116\n ],\n [\n -90.615234375,\n 40.51379915504413\n ],\n [\n -89.8681640625,\n 41.672911819602085\n ],\n [\n -89.7802734375,\n 42.58544425738491\n ],\n [\n -91.0546875,\n 44.18220395771566\n ],\n [\n -92.724609375,\n 45.36758436884978\n ],\n [\n -93.4716796875,\n 44.99588261816546\n ],\n [\n -92.59277343749999,\n 44.24519901522129\n ],\n [\n -91.62597656249999,\n 43.644025847699496\n ],\n [\n -91.318359375,\n 42.68243539838623\n ],\n [\n -90.791015625,\n 41.96765920367816\n ],\n [\n -91.49414062499999,\n 41.178653972331674\n ],\n [\n -91.845703125,\n 40.27952566881291\n ],\n [\n -91.845703125,\n 39.436192999314095\n ],\n [\n -90.703125,\n 38.51378825951165\n ],\n [\n -89.82421875,\n 38.47939467327645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mosel, Kayle J.","contributorId":261526,"corporation":false,"usgs":false,"family":"Mosel","given":"Kayle","email":"","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":820129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reineke, David M.","contributorId":261527,"corporation":false,"usgs":false,"family":"Reineke","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":820130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runstrom, Ann L.","contributorId":261529,"corporation":false,"usgs":false,"family":"Runstrom","given":"Ann","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":820131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820133,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227272,"text":"70227272 - 2021 - Limited shifts in the distribution of migratory bird breeding habitat density in response to future changes in climate","interactions":[],"lastModifiedDate":"2022-01-06T14:24:06.941403","indexId":"70227272","displayToPublicDate":"2021-07-28T08:13:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Limited shifts in the distribution of migratory bird breeding habitat density in response to future changes in climate","docAbstract":"Grasslands, and the depressional wetlands that exist throughout them, are endangered ecosystems that face both climate and land-use change pressures. Tens of millions of dollars are invested annually to manage the existing fragments of these ecosystems to serve as critical breeding habitat for migratory birds. The North American Prairie Pothole Region (PPR) is a region that contains millions of depressional wetlands that produce between 50 and 80% of the continent’s waterfowl population and. Previous modeling efforts suggested that climate change would result in a shift of suitable waterfowl breeding habitat from the central to the southeast portion of the PPR, an area where over half of the wetlands have been drained. The implications of these projections suggest a massive investment in wetland restoration in the southeastern PPR would be needed to sustain waterfowl populations at harvestable levels. We revisited these modeled results indicating how future climate may impact the distribution of waterfowl-breeding habitat using up-to-date climate model projections and a newly developed model for simulating prairie-pothole wetland hydrology. We also presented changes to the number of “May ponds,” a metric used by U.S. Fish and Wildlife Service to estimate waterfowl breeding populations and establish harvest regulations. Based on the output of 32 climate models and 2 emission scenarios, we found no evidence that the distribution of May ponds would shift in the future. However, our results projected a 17% decrease to 5% increase in May-pond numbers when comparing the most recent climate period (1989–2018) to the end of the 21st century (2070–2099). 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omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":830237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kucia, Samuel R.","contributorId":270973,"corporation":false,"usgs":false,"family":"Kucia","given":"Samuel R.","affiliations":[],"preferred":false,"id":830239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcculloch-Huseby, Elyssa Christina 0000-0001-6680-3912","orcid":"https://orcid.org/0000-0001-6680-3912","contributorId":270974,"corporation":false,"usgs":true,"family":"Mcculloch-Huseby","given":"Elyssa","email":"","middleInitial":"Christina","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70224254,"text":"70224254 - 2021 - Why do my squiggles look funny? A gallery of compromised seismic signals","interactions":[],"lastModifiedDate":"2021-11-01T16:00:21.34454","indexId":"70224254","displayToPublicDate":"2021-07-28T07:29:38","publicationYear":"2021","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":"Why do my squiggles look funny? A gallery of compromised seismic signals","docAbstract":"

Seismic instruments are highly sensitive and capable of recording a large range of different Earth signals. The high sensitivity of these instruments also makes them prone to various failures. Although many failures are very obvious, such as a dead channel, there are other more subtle failures that easily go unnoticed by both network operators and data users. This work documents several different types of failure modes in which the instrument is no longer faithfully recording ground‐motion data. Although some of these failure modes make the data completely unusable, there are also a number of failures in which the data can still be used for certain applications. Of course, the ideal situation is to identify as soon as possible when data become compromised and to have the network operator fix the station. However, knowing how the data became compromised can also help data users to identify if the data can still be used for their particular application. This work in no way attempts to exhaustively document recording failures but rather to communicate examples and equip the reader with ways of identifying failure modes.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210094","usgsCitation":"Ringler, A.T., Mason, D.B., Laske, G., Storm, T., and Templeton, M., 2021, Why do my squiggles look funny? A gallery of compromised seismic signals: Seismological Research Letters, v. 92, no. 6, p. 3873-3886, https://doi.org/10.1785/0220210094.","productDescription":"14 p.","startPage":"3873","endPage":"3886","ipdsId":"IP-130410","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":389332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason, David B. 0000-0003-0313-3370 dmason@usgs.gov","orcid":"https://orcid.org/0000-0003-0313-3370","contributorId":265781,"corporation":false,"usgs":true,"family":"Mason","given":"David","email":"dmason@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laske, G.","contributorId":265782,"corporation":false,"usgs":false,"family":"Laske","given":"G.","email":"","affiliations":[{"id":38724,"text":"Scripps Institution of Oceanography, University of California San Diego","active":true,"usgs":false}],"preferred":false,"id":823365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storm, Tyler 0000-0002-6787-9545 tstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-9545","contributorId":152165,"corporation":false,"usgs":true,"family":"Storm","given":"Tyler","email":"tstorm@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Templeton, M.","contributorId":265783,"corporation":false,"usgs":false,"family":"Templeton","given":"M.","email":"","affiliations":[{"id":39228,"text":"Incorporated Research Institutions for Seismology","active":true,"usgs":false}],"preferred":false,"id":823367,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222421,"text":"70222421 - 2021 - Informing wetland management with waterfowl movement and sanctuary use responses to human-induced disturbance","interactions":[],"lastModifiedDate":"2021-07-28T12:10:26.199059","indexId":"70222421","displayToPublicDate":"2021-07-28T07:01:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Informing wetland management with waterfowl movement and sanctuary use responses to human-induced disturbance","docAbstract":"

Long-term environmental management to prevent waterfowl population declines is informed by ecology, movement behavior and habitat use patterns. Extrinsic factors, such as human-induced disturbance, can cause behavioral changes which may influence movement and resource needs, driving variation that affects management efficacy. To better understand the relationship between human-based disturbance and animal movement and habitat use, and their potential effects on management, we GPS tracked 15 dabbling ducks in California over ~4-weeks before, during and after the start of a recreational hunting season in October/November 2018. We recorded locations at 2-min intervals across three separate 24-h tracking phases: Phase 1) two weeks before the start of the hunting season (control (undisturbed) movement); Phase 2) the hunting season opening weekend; and Phase 3) a hunting weekend two weeks after opening weekend. We used GLMM models to analyze variation in movement and habitat use under hunting pressure compared with ‘normal’ observed patterns prior to commencement of hunting. We also compared responses to differing levels of disturbance related to the time of day (high - shooting/~daytime); moderate - non-lethal (~crepuscular); and low - night). During opening weekend flight (% time and distance) more than doubled during moderate and low disturbance and increased by ~50% during high disturbance compared with the pre-season weekend. Sanctuary use tripled during moderate and low disturbance and increased ~50% during high disturbance. Two weeks later flight decreased in all disturbance levels but was only less than the pre-season levels during high disturbance. In contrast, sanctuary use only decreased at night, although not to pre-season levels, while daytime doubled from ~45% to >80%. Birds adjust rapidly to disturbance and our results have implications for energetics models that estimate population food requirements. Management would benefit from reassessing the juxtaposition of essential sanctuary and feeding habitats to optimize wetland management for waterfowl.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.113170","usgsCitation":"McDuie, F., Lorenz, A., Klinger, R.C., Overton, C.T., Feldheim, C.L., Ackerman, J.T., and Casazza, M.L., 2021, Informing wetland management with waterfowl movement and sanctuary use responses to human-induced disturbance: Journal of Environmental Management, v. 297, 113170, 10 p., https://doi.org/10.1016/j.jenvman.2021.113170.","productDescription":"113170, 10 p.","ipdsId":"IP-124117","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":451383,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2021.113170","text":"Publisher Index Page"},{"id":436261,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92N1BBF","text":"USGS data release","linkHelpText":"Waterfowl Disturbance in California and Nevada (2018)"},{"id":387500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"297","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McDuie, Fiona 0000-0002-1948-5613","orcid":"https://orcid.org/0000-0002-1948-5613","contributorId":222936,"corporation":false,"usgs":true,"family":"McDuie","given":"Fiona","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, Austen 0000-0003-3657-5941","orcid":"https://orcid.org/0000-0003-3657-5941","contributorId":222610,"corporation":false,"usgs":true,"family":"Lorenz","given":"Austen","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":819987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":819988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feldheim, Cliff L.","contributorId":206561,"corporation":false,"usgs":false,"family":"Feldheim","given":"Cliff","email":"","middleInitial":"L.","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":819990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819992,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70231885,"text":"70231885 - 2021 - Protecting restoration investments from the cheatgrass-fire cycle in sagebrush steppe","interactions":[],"lastModifiedDate":"2022-06-01T11:56:23.831955","indexId":"70231885","displayToPublicDate":"2021-07-28T06:50:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Protecting restoration investments from the cheatgrass-fire cycle in sagebrush steppe","docAbstract":"The US federal government has recently committed to the difficult task of slowing and managing the invasive grass-fire cycle in sagebrush steppe, where property, livelihoods, and entire ecosystems are at risk. To safely manage this crisis, the government recently proposed to construct about 17,700 km of fuel breaks and millions of hectares of fuel reduction treatments in six western states. A challenge for resource managers will be the strategic placement of these land treatments. We investigated the need for this massive effort from the perspective of protecting previous rehabilitation and restoration seeding investments, including over 3,400 seedings implemented from 1990 – 2019 covering about 24,540 km2. We found that portions of over 26% of these seedings have since burned representing nearly 17% of this seeded area. Locations that had recurrent wildfire had repeat treatments and thus multiple investments in the same location. We concluded that management actions protecting remaining sagebrush and investments are warranted, especially in areas where the invasive grass-fire cycle is most pervasive. Given the decades required for most sagebrush to recover after wildfire, the urgency of this management intervention is evident. The specific details, placement, and effectiveness of these interventions could influence outcomes and potential unintended consequences.","language":"English","publisher":"Wiley","doi":"10.1111/csp2.508","usgsCitation":"Pilliod, D., Jeffries, M.I., Welty, J.L., and Arkle, R.S., 2021, Protecting restoration investments from the cheatgrass-fire cycle in sagebrush steppe: Conservation Science and Practice, v. 3, no. 10, e508, 12 p., https://doi.org/10.1111/csp2.508.","productDescription":"e508, 12 p.","ipdsId":"IP-128169","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":451386,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.508","text":"Publisher Index Page"},{"id":436262,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P931LUJ1","text":"USGS data release","linkHelpText":"Protecting Restoration Investments from the Cheatgrass-fire Cycle in Sagebrush Steppe (Tableau Supplement)"},{"id":401522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0498046875,\n 44.37098696297173\n ],\n [\n -111.57714843749999,\n 44.59046718130883\n ],\n [\n -112.2802734375,\n 44.653024159812\n ],\n [\n -112.939453125,\n 44.68427737181225\n ],\n [\n -113.4228515625,\n 45.1510532655634\n ],\n [\n -114.345703125,\n 45.30580259943578\n ],\n [\n -116.01562499999999,\n 45.120052841530544\n ],\n [\n -116.49902343749999,\n 45.460130637921004\n ],\n [\n -116.76269531249999,\n 45.82879925192134\n ],\n [\n -117.0703125,\n 46.558860303117164\n ],\n [\n -117.02636718749999,\n 47.368594345213374\n ],\n [\n -117.1142578125,\n 49.03786794532644\n ],\n [\n -119.7509765625,\n 49.06666839558117\n ],\n [\n -120.62988281249999,\n 47.15984001304432\n ],\n [\n -121.33300781249999,\n 45.767522962149876\n ],\n [\n -121.201171875,\n 44.43377984606822\n ],\n [\n -121.06933593749999,\n 42.87596410238256\n ],\n [\n -120.89355468749999,\n 41.705728515237524\n ],\n [\n -120.36621093749999,\n 39.774769485295465\n ],\n [\n -119.92675781249999,\n 38.685509760012\n ],\n [\n -119.44335937499999,\n 37.61423141542417\n ],\n [\n -117.8173828125,\n 36.94989178681327\n ],\n [\n -116.8505859375,\n 37.09023980307208\n ],\n [\n -115.53222656249999,\n 37.89219554724437\n ],\n [\n -113.5546875,\n 37.78808138412046\n ],\n [\n -111.22558593749999,\n 38.16911413556086\n ],\n [\n -110.3466796875,\n 39.13006024213511\n ],\n [\n -108.984375,\n 39.436192999314095\n ],\n [\n -108.9404296875,\n 40.97989806962013\n ],\n [\n -110.91796875,\n 41.04621681452063\n ],\n [\n -111.0498046875,\n 42.00032514831621\n ],\n [\n -111.0498046875,\n 44.37098696297173\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jeffries, Michelle I. 0000-0003-1146-1331","orcid":"https://orcid.org/0000-0003-1146-1331","contributorId":202734,"corporation":false,"usgs":true,"family":"Jeffries","given":"Michelle","middleInitial":"I.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":4206,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":844033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arkle, Robert S. 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218006,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844034,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222358,"text":"fs20213041 - 2021 - Water priorities for the Nation—USGS Integrated Water Science basins","interactions":[],"lastModifiedDate":"2021-07-28T11:39:06.407293","indexId":"fs20213041","displayToPublicDate":"2021-07-27T14:40:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3041","displayTitle":"Water Priorities for the Nation—USGS Integrated Water Science Basins","title":"Water priorities for the Nation—USGS Integrated Water Science basins","docAbstract":"

The United States faces growing challenges to its water supply, infrastructure, and aquatic ecosystems because of population growth, climate change, floods, and droughts. To help address these challenges, the U.S. Geological Survey Water Resources Mission Area is integrating recent advances in monitoring, research, and modeling to improve assessments of water availability throughout the United States. A key part of this effort is the intensive study of 10 Integrated Water Science (IWS) basins across the Nation between 2019 and 2028.

The goal is to study 10 IWS basins that are representative of large geographic regions across the United States and that encompass a variety of potential threats to the amount and quality of water across the Nation. Lessons learned from these smaller IWS basins (10,000–20,000 square miles in size) about the interactions among climate, human effects, surface water, groundwater, water quality, and water supply and demand will be used to help quantify and forecast water availability in the larger regions and ultimately the Nation.

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Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-07-27","noUsgsAuthors":false,"publicationDate":"2021-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":819746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberts, Sandra M. 0000-0001-5138-8293 smeberts@usgs.gov","orcid":"https://orcid.org/0000-0001-5138-8293","contributorId":127844,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra","email":"smeberts@usgs.gov","middleInitial":"M.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":819747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":819748,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222452,"text":"70222452 - 2021 - Extent of impact of deep-sea nodule mining midwater plumes is influenced by sediment loading, turbulence and thresholds","interactions":[],"lastModifiedDate":"2021-07-30T14:04:25.993695","indexId":"70222452","displayToPublicDate":"2021-07-27T09:02:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Extent of impact of deep-sea nodule mining midwater plumes is influenced by sediment loading, turbulence and thresholds","docAbstract":"

Deep-sea polymetallic nodule mining research activity has substantially increased in recent years, but the expected level of environmental impact is still being established. One environmental concern is the discharge of a sediment plume into the midwater column. We performed a dedicated field study using sediment from the Clarion Clipperton Fracture Zone. The plume was monitored and tracked using both established and novel instrumentation, including acoustic and turbulence measurements. Our field studies reveal that modeling can reliably predict the properties of a midwater plume in the vicinity of the discharge and that sediment aggregation effects are not significant. The plume model is used to drive a numerical simulation of a commercial-scale operation in the Clarion Clipperton Fracture Zone. Key takeaways are that the scale of impact of the plume is notably influenced by the values of environmentally acceptable threshold levels, the quantity of discharged sediment, and the turbulent diffusivity in the Clarion Clipperton Fracture Zone.

","language":"English","publisher":"Nature","doi":"10.1038/s43247-021-00213-8","usgsCitation":"Munoz-Royo, C., Peacock, T., Alford, M., Smith, J., Le Boyer, A., Kulkarni, C., Lermusiaux, P., Haley, P., Mirabito, C., Wang, D., Adams, E., Ouillon, R., Breugem, A., Decrop, B., Lanckreit, T., Supekar, R., Rzeznik, A., Gartman, A., and Ju, S., 2021, Extent of impact of deep-sea nodule mining midwater plumes is influenced by sediment loading, turbulence and thresholds: Communications Earth & Environment, v. 2, 148, 16 p., https://doi.org/10.1038/s43247-021-00213-8.","productDescription":"148, 16 p.","ipdsId":"IP-117887","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-021-00213-8","text":"Publisher Index Page"},{"id":387594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2021-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Munoz-Royo, Carlos","contributorId":261472,"corporation":false,"usgs":false,"family":"Munoz-Royo","given":"Carlos","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacock, Thomas","contributorId":261474,"corporation":false,"usgs":false,"family":"Peacock","given":"Thomas","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alford, Matthew","contributorId":261476,"corporation":false,"usgs":false,"family":"Alford","given":"Matthew","email":"","affiliations":[{"id":37799,"text":"SCRIPPS","active":true,"usgs":false}],"preferred":false,"id":820074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Jerome","contributorId":261477,"corporation":false,"usgs":false,"family":"Smith","given":"Jerome","email":"","affiliations":[{"id":37799,"text":"SCRIPPS","active":true,"usgs":false}],"preferred":false,"id":820075,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Boyer, Arnaud","contributorId":261479,"corporation":false,"usgs":false,"family":"Le Boyer","given":"Arnaud","email":"","affiliations":[{"id":37799,"text":"SCRIPPS","active":true,"usgs":false}],"preferred":false,"id":820076,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kulkarni, Chinmay","contributorId":156330,"corporation":false,"usgs":false,"family":"Kulkarni","given":"Chinmay","email":"","affiliations":[{"id":20319,"text":"Carnegie Mellon University, Silicon Valley","active":true,"usgs":false}],"preferred":false,"id":820077,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lermusiaux, Pierre","contributorId":261481,"corporation":false,"usgs":false,"family":"Lermusiaux","given":"Pierre","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820078,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haley, Patrick","contributorId":261484,"corporation":false,"usgs":false,"family":"Haley","given":"Patrick","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820079,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mirabito, C","contributorId":261487,"corporation":false,"usgs":false,"family":"Mirabito","given":"C","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820080,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wang, Dayang","contributorId":261490,"corporation":false,"usgs":false,"family":"Wang","given":"Dayang","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820081,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Adams, Eric","contributorId":261492,"corporation":false,"usgs":false,"family":"Adams","given":"Eric","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820082,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ouillon, Raphael","contributorId":261494,"corporation":false,"usgs":false,"family":"Ouillon","given":"Raphael","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820083,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Breugem, Alexander","contributorId":261497,"corporation":false,"usgs":false,"family":"Breugem","given":"Alexander","email":"","affiliations":[{"id":52859,"text":"International Marine and Dredging Consultants","active":true,"usgs":false}],"preferred":false,"id":820084,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Decrop, Boudewijn","contributorId":261499,"corporation":false,"usgs":false,"family":"Decrop","given":"Boudewijn","email":"","affiliations":[{"id":52859,"text":"International Marine and Dredging Consultants","active":true,"usgs":false}],"preferred":false,"id":820085,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lanckreit, Thijs","contributorId":261500,"corporation":false,"usgs":false,"family":"Lanckreit","given":"Thijs","email":"","affiliations":[{"id":52859,"text":"International Marine and Dredging Consultants","active":true,"usgs":false}],"preferred":false,"id":820086,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Supekar, Rohit","contributorId":261502,"corporation":false,"usgs":false,"family":"Supekar","given":"Rohit","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820087,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rzeznik, Andrew","contributorId":261504,"corporation":false,"usgs":false,"family":"Rzeznik","given":"Andrew","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":820088,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820089,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ju, Se-Jong","contributorId":261506,"corporation":false,"usgs":false,"family":"Ju","given":"Se-Jong","email":"","affiliations":[{"id":52861,"text":"Korea Institute of Ocean Science and Technology, Busan, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":820090,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70223296,"text":"70223296 - 2021 - Comparison of aerial thermal infrared imagery and helicopter surveys of bison (Bison bison) in Grand Canyon National Park, USA","interactions":[],"lastModifiedDate":"2021-08-20T13:53:38.465029","indexId":"70223296","displayToPublicDate":"2021-07-27T08:51:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of aerial thermal infrared imagery and helicopter surveys of bison (Bison bison) in Grand Canyon National Park, USA","title":"Comparison of aerial thermal infrared imagery and helicopter surveys of bison (Bison bison) in Grand Canyon National Park, USA","docAbstract":"Aerial thermal infrared (TIR) surveys are an attractive option for estimating abundances of large mammals inhabiting extensive and heterogenous terrain. Compared to standard helicopter or fixed-wing aerial surveys, TIR flights can be conducted at higher altitudes translating into greater spatial coverage and increased observer safety; however, monetary costs are much greater. Further, there is no consensus on whether TIR surveys offer improved detection. Consequently, we per-formed a study to compare results of a TIR and helicopter survey of bison (Bison bison) on the Powell Plateau in Grand Canyon National Park, USA. We also compared results of both surveys to esti-mates obtained using a larger dataset of bison helicopter detections along the entire North Rim of the Grand Canyon. Observers in the TIR survey counted fewer individual bison than helicopter ob-servers (101 to 127) and the TIR survey cost was 367% higher. Additionally, the TIR estimate was 18.8% lower than the estimate obtained using a larger dataset, while the comparative helicopter survey was 9.3% lower. Given the higher raw count, ostensibly more accurate estimates, and lower cost, we propose that helicopter surveys are currently the best choice for estimation and monitoring of bison abundance in Grand Canyon National Park.","language":"English","publisher":"MDPI","doi":"10.3390/s21155087","usgsCitation":"Hennig, J.D., Schoenecker, K., Terwilliger, M., Holm, G.W., and Laake, J.L., 2021, Comparison of aerial thermal infrared imagery and helicopter surveys of bison (Bison bison) in Grand Canyon National Park, USA: Sensors, v. 21, no. 15, 5087, 9 p., https://doi.org/10.3390/s21155087.","productDescription":"5087, 9 p.","ipdsId":"IP-129922","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451392,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s21155087","text":"Publisher Index Page"},{"id":436263,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CXDC8V","text":"USGS data release","linkHelpText":"Detections of bison from helicopter and aerial thermal infrared imagery in Grand Canyon National Park, 2019-2021"},{"id":388230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.0380859375,\n 35.63051198300061\n ],\n [\n -111.22558593749999,\n 35.63051198300061\n ],\n [\n -111.22558593749999,\n 36.96744946416934\n ],\n [\n -114.0380859375,\n 36.96744946416934\n ],\n [\n -114.0380859375,\n 35.63051198300061\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"15","noUsgsAuthors":false,"publicationDate":"2021-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hennig, Jacob Daniel 0000-0001-6450-6906","orcid":"https://orcid.org/0000-0001-6450-6906","contributorId":264526,"corporation":false,"usgs":true,"family":"Hennig","given":"Jacob","email":"","middleInitial":"Daniel","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terwilliger, Miranda","contributorId":264527,"corporation":false,"usgs":false,"family":"Terwilliger","given":"Miranda","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":821638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm, Gregory W","contributorId":264528,"corporation":false,"usgs":false,"family":"Holm","given":"Gregory","email":"","middleInitial":"W","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":821639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laake, Jeffrey L.","contributorId":83851,"corporation":false,"usgs":false,"family":"Laake","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":821640,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222611,"text":"70222611 - 2021 - Climate change is creating a mismatch between protected areas and suitable habitats for frogs and birds in Puerto Rico","interactions":[],"lastModifiedDate":"2021-10-06T15:39:20.388066","indexId":"70222611","displayToPublicDate":"2021-07-27T08:41:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Climate change is creating a mismatch between protected areas and suitable habitats for frogs and birds in Puerto Rico","docAbstract":"

Climate change is altering the spatial distribution of many species around the world. In response, we need to identify and protect suitable areas for a large proportion of the fauna so that they persist through time. This exercise must also evaluate the ability of existing protected areas to provide safe havens for species in the context of climate change. Here, we combined passive acoustic monitoring, semi-automatic species identification models, and species distribution models of 21 bird and frog species based on past (1980–1989), present (2005–2014), and future (2040–2060) climate scenarios to determine how species distributions relate to the current distribution of protected areas in Puerto Rico. Species detection/non-detection data were acquired across ~ 700 sampling sites. We developed always-suitable maps that characterized suitable habitats in all three time periods for each species and overlaid these maps to identify regions with high species co-occurrence. These distributions were then compared with the distribution of existing protected areas. We show that Puerto Rico is projected to become dryer by 2040–2060, and precipitation in the warmest quarter was among the most important variables affecting bird and frog distributions. A large portion of always-suitable areas (ASA) is outside of protected areas (> 80%), and the percent of protected areas that overlaps with always-suitable areas is larger for bird (75%) than frog (39%) species. Our results indicate that present protected areas will not suffice to safeguard bird and frog species under climate change; however, the establishment of larger protected areas, buffer zones, and connectivity between protected areas may allow species to find suitable niches to withstand environmental changes.

","language":"English","publisher":"Springer Link","doi":"10.1007/s10531-021-02258-9","usgsCitation":"Campos-Cerqueira, M., Terando, A., Murray, B., Collazo, J.A., and Aide, M., 2021, Climate change is creating a mismatch between protected areas and suitable habitats for frogs and birds in Puerto Rico: Biological Conservation, v. 30, p. 3509-3528, https://doi.org/10.1007/s10531-021-02258-9.","productDescription":"20 p.","startPage":"3509","endPage":"3528","ipdsId":"IP-123023","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":451394,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10531-021-02258-9","text":"Publisher Index Page"},{"id":387778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.3077392578125,\n 17.913409288694826\n ],\n [\n -65.58837890625,\n 17.913409288694826\n ],\n [\n -65.58837890625,\n 18.552532366385577\n ],\n [\n -67.3077392578125,\n 18.552532366385577\n ],\n [\n -67.3077392578125,\n 17.913409288694826\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","noUsgsAuthors":false,"publicationDate":"2021-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Campos-Cerqueira, Marconi","contributorId":261906,"corporation":false,"usgs":false,"family":"Campos-Cerqueira","given":"Marconi","email":"","affiliations":[{"id":53077,"text":"Rainforest Connection","active":true,"usgs":false}],"preferred":false,"id":820742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":205908,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":820743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murray, Brent","contributorId":261907,"corporation":false,"usgs":false,"family":"Murray","given":"Brent","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":820744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":820745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aide, Mitchell","contributorId":261908,"corporation":false,"usgs":false,"family":"Aide","given":"Mitchell","email":"","affiliations":[{"id":38462,"text":"University of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":820746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223149,"text":"70223149 - 2021 - Evaluation of a modified rapid viability-polymerase chain reaction method for Bacillus atrophaeus spores in water matrices","interactions":[],"lastModifiedDate":"2021-08-12T12:33:45.714578","indexId":"70223149","displayToPublicDate":"2021-07-27T07:32:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a modified rapid viability-polymerase chain reaction method for Bacillus atrophaeus spores in water matrices","docAbstract":"

A rapid method that provides information on the viability of organisms is needed to protect public health and ensure that remediation efforts following a release of a biological agent are effective. The rapid viability-polymerase chain reaction (RV-PCR) method combines broth culture and molecular methods to provide results on whether viable organisms are present in less than 15 h. In this study, a modified RV-PCR (mRV-PCR) method was compared to a membrane-filtration culture method for the detection of viable Bacillus spores in water matrices. Samples included small and large volumes of chlorine and non‑chlorine treated tap water. Large volume water samples (up to 100 L), were processed by ultrafiltration using a semi-automated waterborne pathogen concentrator, followed by centrifugation as a secondary concentration technique. The concentrated samples were analyzed by mRV-PCR and culture methods. The overall agreement between the mRV-PCR and culture methods when seed concentrations were greater than 10 spores per sample volume analyzed was 96%. The total time from the start of sample processing to the final sample result for the mRV-PCR method was decreased by approximately 2 h, in comparison to the previously published RV-PCR method because of the incorporation of shorter, more efficient primary and secondary concentration steps and a shorter DNA extraction technique. Overall, this study confirmed that RV-PCR is a promising approach for identifying viable Bacillus spores in small- and large-volume water samples and for producing results in less time than traditional culture methods.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.mimet.2021.106293","usgsCitation":"Bushon, R.N., Brady, A.M., Kephart, C.M., and Gallardo, V., 2021, Evaluation of a modified rapid viability-polymerase chain reaction method for Bacillus atrophaeus spores in water matrices: Journal of Microbiological Methods, v. 188, 106293, 9 p., https://doi.org/10.1016/j.mimet.2021.106293.","productDescription":"106293, 9 p.","ipdsId":"IP-131248","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":451398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8488907","text":"Publisher Index Page"},{"id":387894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"188","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bushon, Rebecca N. 0000-0003-1843-9719 rnbushon@usgs.gov","orcid":"https://orcid.org/0000-0003-1843-9719","contributorId":207702,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallardo, Vicente","contributorId":264210,"corporation":false,"usgs":false,"family":"Gallardo","given":"Vicente","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":821112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222392,"text":"70222392 - 2021 - Repeating caldera collapse events constrain fault friction at the kilometer scale","interactions":[],"lastModifiedDate":"2021-07-27T12:23:44.970307","indexId":"70222392","displayToPublicDate":"2021-07-27T07:21:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Repeating caldera collapse events constrain fault friction at the kilometer scale","docAbstract":"

Fault friction is central to understanding earthquakes, yet laboratory rock mechanics experiments are restricted to, at most, meter scale. Questions thus remain as to the applicability of measured frictional properties to faulting in situ. In particular, the slip-weakening distance dc\">dcdc strongly influences precursory slip during earthquake nucleation, but scales with fault roughness and is challenging to extrapolate to nature. The 2018 eruption of K̄ılauea volcano, Hawaii, caused 62 repeatable collapse events in which the summit caldera dropped several meters, accompanied by MW\">MWMW 4.7 to 5.4 very long period (VLP) earthquakes. Collapses were exceptionally well recorded by global positioning system (GPS) and tilt instruments and represent unique natural kilometer-scale friction experiments. We model a piston collapsing into a magma reservoir. Pressure at the piston base and shear stress on its margin, governed by rate and state friction, balance its weight. Downward motion of the piston compresses the underlying magma, driving flow to the eruption. Monte Carlo estimation of unknowns validates laboratory friction parameters at the kilometer scale, including the magnitude of steady-state velocity weakening. The absence of accelerating precollapse deformation constrains dc\">dcdc to be ≤10\">≤10≤10 mm, potentially much less. These results support the use of laboratory friction laws and parameters for modeling earthquakes. We identify initial conditions and material and magma-system parameters that lead to episodic caldera collapse, revealing that small differences in eruptive vent elevation can lead to major differences in eruption volume and duration. Most historical basaltic caldera collapses were, at least partly, episodic, implying that the conditions for stick–slip derived here are commonly met in nature.

","language":"English","publisher":"Proceedings of the National Academy of Sciences of the United States of America","doi":"10.1073/pnas.2101469118","usgsCitation":"Segall, P., and Anderson, K.R., 2021, Repeating caldera collapse events constrain fault friction at the kilometer scale: Proceedings of the National Academy of Sciences, v. 118, no. 30, e2101469118, 7 p., https://doi.org/10.1073/pnas.2101469118.","productDescription":"e2101469118, 7 p.","ipdsId":"IP-125022","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":451400,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2101469118","text":"Publisher Index Page"},{"id":387462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.35629272460938,\n 19.315031384033126\n ],\n [\n -155.1605987548828,\n 19.315031384033126\n ],\n [\n -155.1605987548828,\n 19.470476550146252\n ],\n [\n -155.35629272460938,\n 19.470476550146252\n ],\n [\n -155.35629272460938,\n 19.315031384033126\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"118","issue":"30","noUsgsAuthors":false,"publicationDate":"2021-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Segall, Paul","contributorId":241093,"corporation":false,"usgs":false,"family":"Segall","given":"Paul","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":819923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":819924,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226979,"text":"70226979 - 2021 - Spectral damping scaling factors for horizontal components of ground motions from subduction earthquakes using NGA-Subduction data","interactions":[],"lastModifiedDate":"2021-12-23T13:24:13.864122","indexId":"70226979","displayToPublicDate":"2021-07-27T07:18:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Spectral damping scaling factors for horizontal components of ground motions from subduction earthquakes using NGA-Subduction data","docAbstract":"

This article develops global models of damping scaling factors (DSFs) for subduction zone earthquakes that are functions of the damping ratio, spectral period, earthquake magnitude, and distance. The Next Generation Attenuation for subduction earthquakes (NGA-Sub) project has developed the largest uniformly processed database of recorded ground motions to date from seven subduction regions: Alaska, Cascadia, Central America and Mexico, South America, Japan, Taiwan, and New Zealand. NGA-Sub used this database to develop new ground motion models (GMMs) at a reference 5% damping ratio. We worked with the NGA-Sub project team to develop an extended database that includes pseudo-spectral accelerations (PSA) for 11 damping ratios between 0.5% and 30%. We use this database to develop parametric models of DSF for both interface and intraslab subduction earthquakes that can be used to adjust any subduction GMM from a reference 5% damping ratio to other damping ratios. The DSF is strongly influenced by the response spectral shape and the duration of motion; therefore, in addition to the damping ratio, the median DSF model uses spectral period, magnitude, and distance as surrogate predictor variables to capture the effects of the spectral shape and the duration of motion. We also develop parametric models for the standard deviation of DSF. The models presented in this article are for the RotD50 horizontal component of PSA and are compared with the models for shallow crustal earthquakes in active tectonic regions. Some noticeable differences arise from the considerably longer duration of interface records for very large magnitude events and the enriched high-frequency content of intraslab records, compared with shallow crustal earthquakes. Regional differences are discussed by comparing the proposed global models with the data from each subduction region along with recommendations on the applicability of the models.

","language":"English","publisher":"Sage","doi":"10.1177/87552930211027903","usgsCitation":"Rezaeian, S., Al Atik, L., Kuehn, N.M., Abrahamson, N., Bozorgnia, Y., Mazzoni, S., Withers, K., and Campbell, K., 2021, Spectral damping scaling factors for horizontal components of ground motions from subduction earthquakes using NGA-Subduction data: Earthquake Spectra, v. 37, no. 4, p. 2453-2492, https://doi.org/10.1177/87552930211027903.","productDescription":"40 p.","startPage":"2453","endPage":"2492","ipdsId":"IP-127852","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":393349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":829051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al Atik, L.","contributorId":270335,"corporation":false,"usgs":false,"family":"Al Atik","given":"L.","affiliations":[{"id":56147,"text":"Linda Alatik Consulting, San Francisco, CA 94110","active":true,"usgs":false}],"preferred":false,"id":829052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuehn, N. M.","contributorId":270336,"corporation":false,"usgs":false,"family":"Kuehn","given":"N.","email":"","middleInitial":"M.","affiliations":[{"id":56148,"text":"University of California, Los Angeles, CA 90095","active":true,"usgs":false}],"preferred":false,"id":829053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abrahamson, N. A.","contributorId":27152,"corporation":false,"usgs":false,"family":"Abrahamson","given":"N. A.","affiliations":[],"preferred":false,"id":829054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bozorgnia, Y.","contributorId":203475,"corporation":false,"usgs":false,"family":"Bozorgnia","given":"Y.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":829055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzoni, S.","contributorId":270337,"corporation":false,"usgs":false,"family":"Mazzoni","given":"S.","affiliations":[{"id":56148,"text":"University of California, Los Angeles, CA 90095","active":true,"usgs":false}],"preferred":false,"id":829056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Withers, Kyle 0000-0001-7863-3930","orcid":"https://orcid.org/0000-0001-7863-3930","contributorId":203492,"corporation":false,"usgs":true,"family":"Withers","given":"Kyle","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":829057,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Campbell, K.","contributorId":63351,"corporation":false,"usgs":false,"family":"Campbell","given":"K.","affiliations":[{"id":47665,"text":"St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, USA","active":true,"usgs":false}],"preferred":false,"id":829058,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70226198,"text":"70226198 - 2021 - Chemical and structural degradation of CH3NH3PbI3 propagate from PEDOT:PSS interface in the presence of humidity","interactions":[],"lastModifiedDate":"2024-09-25T15:07:44.125128","indexId":"70226198","displayToPublicDate":"2021-07-27T06:36:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9919,"text":"Advanced Materials Interfaces","active":true,"publicationSubtype":{"id":10}},"title":"Chemical and structural degradation of CH3NH3PbI3 propagate from PEDOT:PSS interface in the presence of humidity","docAbstract":"

Understanding interfacial reactions that occur between the active layer and charge-transport layers can extend the stability of perovskite solar cells. In this study, the exposure of methylammonium lead iodide (CH3NH3PbI3) thin films prepared on poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)-coated glass to 70% relative humidity (R.H.) leads to a perovskite crystal structure change from tetragonal to cubic within 2 days. Interface-sensitive photoluminescence measurements indicate that the structural change originates at the PEDOT:PSS/perovskite interface. During exposure to 30% R.H., the same structural change occurs over a much longer time scale (>200 days), and a reflection consistent with the presence of (CH3)2NH2PbI3 is detected to coexist with the cubic phase by X-ray diffraction pattern. The authors propose that chemical interactions at the PEDOT:PSS/perovskite interface, facilitated by humidity, promote the formation of dimethylammonium, (CH3)2NH2+. The partial A-site substitution of CH3NH3+ for (CH3)2NH2+ to produce a cubic (CH3NH3)1−x[(CH3)2NH2]xPbI3 phase explains the structural change from tetragonal to cubic during short-term humidity exposure. When (CH3)2NH2+ content exceeds its solubility limit in the perovskite during longer humidity exposures, a (CH3)2NH2+-rich, hexagonal phase of (CH3NH3)1−x[(CH3)2NH2]xPbI3 emerges. These interfacial interactions may have consequences for device stability and performance beyond CH3NH3PbI3 model systems and merit close attention from the perovskite research community.

","language":"English","publisher":"Wiley","doi":"10.1002/admi.202100505","usgsCitation":"Thomas, S.A., Hamill, J.C., White, S., and Loo, Y., 2021, Chemical and structural degradation of CH3NH3PbI3 propagate from PEDOT:PSS interface in the presence of humidity: Advanced Materials Interfaces, v. 8, no. 16, 2100505, https://doi.org/10.1002/admi.202100505.","productDescription":"2100505","ipdsId":"IP-127656","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":467230,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/admi.202100505","text":"Publisher Index Page"},{"id":391731,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"16","noUsgsAuthors":false,"publicationDate":"2021-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Sara A","contributorId":268868,"corporation":false,"usgs":false,"family":"Thomas","given":"Sara","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":826842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamill, J. Clay Jr.","contributorId":268869,"corporation":false,"usgs":false,"family":"Hamill","given":"J.","suffix":"Jr.","email":"","middleInitial":"Clay","affiliations":[],"preferred":false,"id":826843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Sarah Jane O.","contributorId":178311,"corporation":false,"usgs":false,"family":"White","given":"Sarah Jane O.","affiliations":[],"preferred":false,"id":826844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loo, Yueh-Lin","contributorId":268870,"corporation":false,"usgs":false,"family":"Loo","given":"Yueh-Lin","email":"","affiliations":[],"preferred":false,"id":826845,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222371,"text":"ofr20211067 - 2021 - U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2018 annual report","interactions":[],"lastModifiedDate":"2021-07-27T11:55:40.554405","indexId":"ofr20211067","displayToPublicDate":"2021-07-26T18:00:00","publicationYear":"2021","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":"2021-1067","displayTitle":"U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative—2018 Annual Report","title":"U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2018 annual report","docAbstract":"

The Wyoming Landscape Conservation Initiative (WLCI) was established in 2007 as a collaborative interagency partnership to develop and implement science-based conservation actions. During the past 11 years, partners from U.S. Geological Survey (USGS), State and Federal land management agencies, universities, and the public have collaborated to implement a long-term (more than 10 years) science-based program that assesses and enhances the quality and quantity of wildlife habitats in the southwest Wyoming region while facilitating responsible development. The USGS WLCI Science Team completes scientific research and develops tools that inform and support WLCI partner planning, decision making, and on-the-ground management actions.

In fiscal year 2018, the USGS initiated 3 new projects and continued efforts on 21 ongoing science and web-development projects. The first new project was initiated to support Secretarial Order 3362 which calls on the USGS to assist Western States in mapping big-game migration corridors and developing new mapping tools. During 2018, the USGS hosted a workshop in Laramie, Wyoming, which included more than 70 State and Federal wildlife experts from Colorado, New Mexico, Texas, and Wyoming. Most of the mapping and migration tool curricula used in the workshop were derived from prior WLCI studies and mapping efforts of big-game migration movement in habitats undergoing large-scale energy development.

The second new project was in response for WLCI partners to better understand sedimentation and hydrogeomorphic processes in a cold-desert headwater and the third new project was designed to improve our approach for people to access, manage, and analyze WLCI data and WLCI resource information. The USGS published 18 products (including peer-reviewed journal articles, USGS series publications, and data releases) and provided more than a dozen professional oral and poster presentations at scientific meetings and numerous informal presentations to WLCI partners at meetings and workshops. This report summarizes the objectives and status of each project and highlights the USGS 2018 accomplishments and products.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211067","usgsCitation":"Anderson, P.J., Aldridge, C.L., Alexander, J.S., Assal, T.J., Aulenbach, S., Bowen, Z.H., Chalfoun, A.D., Chong, G.W., Copeland, H., Edmunds, D.R., Germaine, S., Graves, T., Heinrichs, J.A., Homer, C.G., Huber, C.C., Johnston, A., Kauffman, M.J., Manier, D.J., McShan, R.R., Eddy-Miller, C.A., Miller, K.A., Monroe, A.P., O’Donnell, M.S., Ortega, A., Walters, A.W., Wieferich, D., Wyckoff, T.B., and Zeigenfuss, L., 2020, U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2018 annual report: U.S. Geological Survey Open-File Report 2021–1067, 33 p., https://doi.org/10.3133/ofr20211067.","productDescription":"ix, 33 p.","onlineOnly":"Y","ipdsId":"IP-117398","costCenters":[{"id":207,"text":"Core Research Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":387403,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1067/coverthb.jpg"},{"id":387404,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1067/ofr20211067.pdf","text":"Report","size":"6.37 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1067"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.060791015625,\n 43.11702412135048\n ],\n [\n -111.060791015625,\n 41.02964338716638\n ],\n [\n -105.677490234375,\n 41.0130657870063\n ],\n [\n -105.875244140625,\n 41.60722821271717\n ],\n [\n -105.83129882812499,\n 42.32606244456202\n ],\n [\n -106.10595703125,\n 42.50450285299051\n ],\n [\n -107.083740234375,\n 42.49640294093705\n ],\n [\n -107.940673828125,\n 42.52879629320373\n ],\n [\n -108.896484375,\n 42.49640294093705\n ],\n [\n -109.3798828125,\n 42.62587560259137\n ],\n [\n -109.75341796875,\n 42.956422511073335\n ],\n [\n -110.06103515625,\n 43.197167282501276\n ],\n [\n -111.060791015625,\n 43.11702412135048\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Building C
Fort Collins, CO 80526-8118

","tableOfContents":"","publishedDate":"2021-07-26","noUsgsAuthors":false,"publicationDate":"2021-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":819843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science 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0000-0002-6700-8563","orcid":"https://orcid.org/0000-0002-6700-8563","contributorId":203712,"corporation":false,"usgs":true,"family":"Zeigenfuss","given":"Linda","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":819842,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70222385,"text":"ofr20211030C - 2021 - System characterization report on Planet’s Dove Classic","interactions":[{"subject":{"id":70222385,"text":"ofr20211030C - 2021 - System characterization report on Planet’s Dove Classic","indexId":"ofr20211030C","publicationYear":"2021","noYear":false,"chapter":"C","displayTitle":"System Characterization Report on Planet’s Dove Classic","title":"System characterization report on Planet’s Dove Classic"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"lastModifiedDate":"2021-08-25T20:34:19.178126","indexId":"ofr20211030C","displayToPublicDate":"2021-07-26T16:11:28","publicationYear":"2021","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":"2021-1030","chapter":"C","displayTitle":"System Characterization Report on Planet’s Dove Classic","title":"System characterization report on Planet’s Dove Classic","docAbstract":"

Executive Summary

This report addresses system characterization of Planet’s Dove Classic satellites and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.

Since 2013, Planet has launched more than 360 Dove 3U CubeSats, where U stands for 10-centimeter (cm) x 10-cm x 10-cm stowed dimensions, each weighing about 5 kilograms. Since 2015, all Dove satellites have had four-band imagers with about a 4-meter (m) pixel ground sample distance. Since 2016, all Doves have been launched into Sun-synchronous orbits varying from 474 to 524 kilometers, with inclinations between 97 and 98 degrees. The Dove series satellites do not have orbit maintenance capabilities; thus, their orbits decay slowly over time, contributing to shorter lifetimes of about 3 years. More information on Planet satellites and sensors is available in the “2020 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium” and from the manufacturer at https://www.planet.com/.

The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that Dove Classic has an interior geometric performance in the range of −0.218 (−0.073 pixel) to −0.037 m (−0.012 pixel) in easting and −0.167 (−0.056 pixel) to −0.111 m (−0.037 pixel) in northing in band-to-band registration, an exterior geometric error of −6.841 (−2.280 pixels) in easting and −6.235 m (−2.078 pixels) in northing offset in comparison to Landsat 8 Operational Land Imager, a radiometric performance in the range of −0.057 to −0.010 in offset and 0.963 to 1.298 in slope, and a spatial performance in the range of 2.77 to 3.35 pixels for full width at half maximum, with a modulation transfer function at a Nyquist frequency in the range of 0.003 to 0.010.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030C","usgsCitation":"Kim, M., Park, S., Anderson, C., and Stensaas, G.L., 2021, System characterization report on Planet’s Dove Classic, chap. C of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 28 p., https://doi.org/10.3133/ofr20211030C.","productDescription":"v, 28 p.","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-126677","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":387443,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/c/ofr20211030c.pdf","text":"Report","size":"31.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1030C"},{"id":387442,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/c/coverthb.jpg"}],"contact":"

Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198

Contact Pubs Warehouse

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