{"pageNumber":"559","pageRowStart":"13950","pageSize":"25","recordCount":184828,"records":[{"id":70216904,"text":"70216904 - 2021 - Aufeis fields as novel groundwater-dependent ecosystems in the arctic cryosphere","interactions":[],"lastModifiedDate":"2021-04-08T14:26:58.690673","indexId":"70216904","displayToPublicDate":"2020-10-13T07:17:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Aufeis fields as novel groundwater-dependent ecosystems in the arctic cryosphere","title":"Aufeis fields as novel groundwater-dependent ecosystems in the arctic cryosphere","docAbstract":"River aufeis (ow′ fīse) are widespread features of the arctic cryosphere. They form when river channels become locally restricted by ice, resulting in cycles of water overflow and freezing and the accumulation of ice, with some aufeis attaining areas of ~ 25 + km2 and thicknesses of 6+ m. During winter, unfrozen sediments beneath the insulating ice layer provide perennial groundwater‐habitat that is otherwise restricted in regions of continuous permafrost. Our goal was to assess whether aufeis facilitate the occurrence of groundwater invertebrate communities in the Arctic. We focused on a single aufeis ecosystem (~ 5 km2 by late winter) along the Kuparuk River in arctic Alaska. Subsurface invertebrates were sampled during June and August 2017 from 50 3.5‐cm diameter PVC wells arranged in a 5 × 10 array covering ~ 40 ha. Surface invertebrates were sampled using a quadrat approach. We documented a rich assemblage of groundwater invertebrates (49 [43–54] taxa, ![\"urn:x-wiley:00011541:media:lno11626:lno11626-math-0002\"](\"https://aslopubs.onlinelibrary.wiley.com/cms/asset/7a32d0a9-7215-420b-b719-9d3fe17937c8/lno11626-math-0002.png\")
[95% confidence limits]) that was distributed below the sediment surface to a mean depth of ~ 69 ± 2 cm (![\"urn:x-wiley:00011541:media:lno11626:lno11626-math-1002\"](\"https://aslopubs.onlinelibrary.wiley.com/cms/asset/8c8f2ed5-7fa0-42a7-8a0e-1c45d5fe36be/lno11626-math-1002.png\")
± 1 SE) throughout the entire well array. Although community structure differed significantly between groundwater and surface habitats, the taxa richness from wells and surface sediments (43 [35–48] taxa) did not differ significantly, which was surprising given lower richness in subsurface habitats of large, riverine gravel‐aquifer systems shown elsewhere. This is the first demonstration of a rich and spatially extensive groundwater fauna in a region of continuous permafrost. Given the geographic extent of aufeis fields, localized groundwater‐dependent ecosystems may be widespread in the Arctic.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11626","usgsCitation":"Huryn, A.D., Gooseff, M., Hendrickson, P., Briggs, M.A., Tape, K., and Terry, N., 2021, Aufeis fields as novel groundwater-dependent ecosystems in the arctic cryosphere: Limnology and Oceanography, v. 66, no. 3, https://doi.org/10.1002/lno.11626.","productDescription":"18 p.","startPage":"607","numberOfPages":"624","ipdsId":"IP-121809","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":454383,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.11626","text":"Publisher Index Page"},{"id":381319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kuparuk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.2657470703125,\n 68.98007544853745\n ],\n [\n -147.6177978515625,\n 68.98007544853745\n ],\n [\n -147.6177978515625,\n 70.30022984515816\n ],\n [\n -149.2657470703125,\n 70.30022984515816\n ],\n [\n -149.2657470703125,\n 68.98007544853745\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Huryn, Alexander D. 0000-0002-1365-2361","orcid":"https://orcid.org/0000-0002-1365-2361","contributorId":20164,"corporation":false,"usgs":false,"family":"Huryn","given":"Alexander","email":"","middleInitial":"D.","affiliations":[{"id":28219,"text":"The University of Alabama, Department of Biological Sciences, Tuscaloosa, AL 35487","active":true,"usgs":false}],"preferred":false,"id":806911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gooseff, M.","contributorId":201026,"corporation":false,"usgs":false,"family":"Gooseff","given":"M.","email":"","affiliations":[],"preferred":false,"id":806890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, P.","contributorId":245721,"corporation":false,"usgs":false,"family":"Hendrickson","given":"P.","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":806891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":806892,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tape, K.","contributorId":245722,"corporation":false,"usgs":false,"family":"Tape","given":"K.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":806893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":806894,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215473,"text":"70215473 - 2021 - Challenges in the interpretation of anticoagulant rodenticide residues and toxicity in predatory and scavenging birds","interactions":[],"lastModifiedDate":"2021-01-19T16:28:00.30524","indexId":"70215473","displayToPublicDate":"2020-10-13T07:00:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3035,"text":"Pest Management Science","active":true,"publicationSubtype":{"id":10}},"title":"Challenges in the interpretation of anticoagulant rodenticide residues and toxicity in predatory and scavenging birds","docAbstract":"Anticoagulant rodenticides (ARs) are part of the near billion-dollar rodenticide industry. Numerous studies have documented the presence of ARs in non-target wildlife, with evidence of repeated exposure to second-generation ARs. While birds are generally less sensitive to ARs than target rodent species, in some locations predatory and scavenging birds are exposed by consumption of such poisoned prey, and depending on dose and frequency of exposure, exhibit signs of intoxication that can result in death. Evidence of hemorrhage in conjunction with summed hepatic AR residues >0.1 to 0.2 mg/kg liver wet weight are often used as criteria to diagnose ARs as the likely cause of death. In this review focusing on birds of prey and scavengers, we discuss AR potency, coagulopathy, toxicokinetics and long-lasting effects of residues, the role of nutrition and vitamin K status on toxicity, and identify some research needs. A more complete understanding of the factors affecting AR toxicity in non-target wildlife would enable regulators and natural resource managers to better predict and even mitigate risk.","language":"English","publisher":"Wiley","doi":"10.1002/ps.6137","usgsCitation":"Rattner, B.A., and Harvey, J.J., 2021, Challenges in the interpretation of anticoagulant rodenticide residues and toxicity in predatory and scavenging birds: Pest Management Science, v. 77, no. 2, p. 604-610, https://doi.org/10.1002/ps.6137.","productDescription":"7 p.","startPage":"604","endPage":"610","ipdsId":"IP-120393","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":379579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":802269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Joel James 0000-0002-0464-5987","orcid":"https://orcid.org/0000-0002-0464-5987","contributorId":243431,"corporation":false,"usgs":true,"family":"Harvey","given":"Joel","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":802285,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232558,"text":"70232558 - 2021 - Nutrient limitation of phytoplankton in Chesapeake Bay: Development of an empirical approach for water-quality management","interactions":[],"lastModifiedDate":"2022-07-07T12:01:41.226961","indexId":"70232558","displayToPublicDate":"2020-10-13T06:57:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient limitation of phytoplankton in Chesapeake Bay: Development of an empirical approach for water-quality management","docAbstract":"Understanding the temporal and spatial roles of nutrient limitation on phytoplankton growth is necessary for developing successful management strategies. Chesapeake Bay has well-documented seasonal and spatial variations in nutrient limitation, but it remains unknown whether these patterns of nutrient limitation have changed in response to nutrient management efforts. We analyzed historical data from nutrient bioassay experiments (1992–2002) and data from long-term, fixed-site water-quality monitoring program (1990–2017) to develop empirical approaches for predicting nutrient limitation in the surface waters of the mainstem Bay. Results from classification and regression trees (CART) matched the seasonal and spatial patterns of bioassay-based nutrient limitation in the 1992–2002 period much better than two simpler, non-statistical approaches. An ensemble approach of three selected CART models satisfactorily reproduced the bioassay-based results (classification rate = 99%). This empirical approach can be used to characterize nutrient limitation from long-term water-quality monitoring data on much broader geographic and temporal scales than would be feasible using bioassays, providing a new tool for informing water-quality management. Results from our application of the approach to 21 tidal monitoring stations for the period of 2007–2017 showed modest changes in nutrient limitation patterns, with expanded areas of nitrogen-limitation and contracted areas of nutrient saturation (i.e., not limited by nitrogen or phosphorus). These changes imply that long-term reductions in nitrogen load have led to expanded areas with nutrient-limited phytoplankton growth in the Bay, reflecting long-term water-quality improvements in the context of nutrient enrichment. However, nutrient limitation patterns remain unchanged in the majority of the mainstem, suggesting that nutrient loads should be further reduced to achieve a less nutrient-saturated ecosystem.
Bioaccumulation of environmental contaminants in mammalian predators can serve as an indicator of ecosystem health. We examined mercury concentrations of raccoons (Procyon lotor; n = 37 individuals) and striped skunks (Mephitis mephitis; n = 87 individuals) in Suisun Marsh, California, a large brackish marsh that is characterized by contiguous tracts of tidal marsh and seasonally impounded wetlands. Mean (standard error; range) total mercury concentrations in adult hair grown from 2015 to 2018 were 28.50 μg/g dw (3.05 μg/g dw; range: 4.46 – 81.01 μg/g dw) in raccoons and 4.85 μg/g dw (0.54 μg/g dw; range: 1.52 – 27.02 μg/g dw) in striped skunks. We reviewed mammalian hair mercury concentrations in the literature and raccoon mercury concentrations in Suisun Marsh were among the highest observed for wild mammals. Although striped skunk hair mercury concentrations were 83% lower than raccoons, they were higher than proposed background levels for mercury in mesopredator hair (1 – 5 μg/g). Hair mercury concentrations in skunks and raccoons were not related to animal size, but mercury concentrations were higher in skunks in poorer body condition. Large inter-annual differences in hair mercury concentrations suggest that methylmercury exposure to mammalian predators varied among years. Mercury concentrations of raccoon hair grown in 2017 were 2.7 times greater than hair grown in 2015, 1.7 times greater than hair grown in 2016, and 1.6 times greater than hair grown in 2018. Annual mean raccoon and skunk hair mercury concentrations increased with wetland habitat area. Furthermore, during 2017, raccoon hair mercury concentrations increased with the proportion of raccoon home ranges that was wetted habitat, as quantified using global positioning system (GPS) collars. The elevated mercury concentrations we observed in raccoons and skunks suggest that other wildlife at similar or higher trophic positions may also be exposed to elevated methylmercury bioaccumulation in brackish marshes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2020.115808","usgsCitation":"Peterson, S.H., Ackerman, J.T., Hartman, C.A., Casazza, M.L., Feldheim, C.L., and Herzog, M.P., 2021, Mercury exposure in mammalian mesopredators inhabiting a brackish marsh: Environmental Pollution, v. 273, 115808, 13 p., https://doi.org/10.1016/j.envpol.2020.115808.","productDescription":"115808, 13 p.","ipdsId":"IP-120005","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":454387,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2020.115808","text":"Publisher Index Page"},{"id":436654,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SRJFSI","text":"USGS data release","linkHelpText":"Hair and blood total mercury concentrations in raccoons and striped skunks from Suisun Marsh 2016 to 2019"},{"id":382257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Grizzly Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.85932159423828,\n 38.07025760046315\n ],\n [\n -121.88541412353514,\n 38.07863588213716\n ],\n [\n -121.89159393310547,\n 38.09728086978861\n ],\n [\n -121.88953399658205,\n 38.125104394177896\n ],\n [\n -121.91150665283203,\n 38.11997269662426\n ],\n [\n -121.91459655761719,\n 38.131856078273124\n ],\n [\n -121.90979003906249,\n 38.14400753588854\n ],\n [\n -121.9369125366211,\n 38.1680344597114\n ],\n [\n -121.95545196533203,\n 38.174512274922485\n ],\n [\n -121.97193145751953,\n 38.186656626605604\n ],\n [\n -122.0302963256836,\n 38.171273439283084\n ],\n [\n -122.06153869628906,\n 38.145627577349174\n ],\n [\n -122.05432891845703,\n 38.12969560730616\n ],\n [\n -122.00557708740234,\n 38.13374643791151\n ],\n [\n -121.99596405029295,\n 38.115921101680726\n ],\n [\n -122.02171325683595,\n 38.096200130788844\n ],\n [\n -121.96815490722656,\n 38.06863588670429\n ],\n [\n -121.92146301269531,\n 38.07836562996712\n ],\n [\n -121.92729949951172,\n 38.0621486721586\n ],\n [\n -121.9362258911133,\n 38.055931218476616\n ],\n [\n -121.90258026123045,\n 38.04538737239996\n ],\n [\n -121.85932159423828,\n 38.07025760046315\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"273","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":808300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":808302,"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":808303,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808304,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70222063,"text":"70222063 - 2021 - Groundwater discharges as a source of phytoestrogens and other agriculturally derived contaminants to streams","interactions":[],"lastModifiedDate":"2021-07-16T14:31:42.734716","indexId":"70222063","displayToPublicDate":"2020-10-09T09:12:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater discharges as a source of phytoestrogens and other agriculturally derived contaminants to streams","docAbstract":"Groundwater discharge zones in streams are important habitats for aquatic organisms. The use of discharge zones for thermal refuge and spawning by fish and other biota renders them susceptible to potential focused discharge of groundwater contamination. Currently, there is a paucity of information about discharge zones as a potential exposure pathway of chemicals to stream ecosystems. Using thermal mapping technologies to locate groundwater discharges, shallow groundwater and surface water from three rivers in the Chesapeake Bay Watershed, USA were analyzed for phytoestrogens, pesticides and their degradates, steroid hormones, sterols and bisphenol A. A Bayesian censored regression model was used to compare groundwater and surface water chemical concentrations. The most frequently detected chemicals in both ground and surface water were the phytoestrogens genistein (79%) and formononetin (55%), the herbicides metolachlor (50%) and atrazine (74%), and the sterol cholesterol (88%). There was evidence suggesting groundwater discharge zones could be a unique exposure pathway of chemicals to surface water systems, in our case, metolachlor sulfonic acid (posterior mean concentration = 150 ng/L in groundwater and 4.6 ng/L in surface water). Our study also demonstrated heterogeneity of chemical concentration in groundwater discharge zones within a stream for the phytoestrogen formononetin, the herbicides metolachlor and atrazine, and cholesterol. Results support the hypothesis that discharge zones are an important source of exposure of phytoestrogens and herbicides to aquatic organisms. To manage critical resources within the Chesapeake Bay Watershed, more work is needed to characterize exposure in discharge zones more broadly across time and space.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.142873","usgsCitation":"Thompson, T.J., Briggs, M., Phillips, P.J., Blazer, V., Smalling, K., Kolpin, D., and Wagner, T., 2021, Groundwater discharges as a source of phytoestrogens and other agriculturally derived contaminants to streams: Science of the Total Environment, v. 755, 142873, 11 p., https://doi.org/10.1016/j.scitotenv.2020.142873.","productDescription":"142873, 11 p.","ipdsId":"IP-122288","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":454389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.142873","text":"Publisher Index Page"},{"id":387225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, Pennsylvania, Virginia, West Viginia","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1904296875,\n 38.41916639395372\n ],\n [\n -75.223388671875,\n 38.64261790634527\n ],\n [\n -75.35522460937499,\n 38.79690830348427\n ],\n [\n -75.498046875,\n 38.87392853923629\n ],\n [\n -75.5419921875,\n 39.0533181067413\n ],\n [\n -75.662841796875,\n 39.30029918615029\n ],\n [\n -75.750732421875,\n 39.70718665682654\n ],\n [\n -75.6298828125,\n 40.052847601823984\n ],\n [\n -75.69580078125,\n 40.07807142745009\n ],\n [\n -75.95947265625,\n 40.052847601823984\n ],\n [\n -76.0693359375,\n 40.069664523297774\n ],\n [\n -76.058349609375,\n 40.18726672309203\n ],\n [\n -75.9375,\n 40.29628651711716\n ],\n [\n -75.91552734375,\n 40.3549167507906\n ],\n [\n -75.89355468749999,\n 40.47202439692057\n ],\n [\n -76.09130859375,\n 40.56389453066509\n ],\n [\n -76.190185546875,\n 40.64730356252251\n ],\n [\n -76.0693359375,\n 40.75557964275589\n ],\n [\n -75.83862304687499,\n 40.871987756697415\n ],\n [\n -75.76171875,\n 40.91351257612758\n ],\n [\n -75.706787109375,\n 40.95501133048621\n ],\n [\n -75.7177734375,\n 41.071069130806414\n ],\n [\n -75.662841796875,\n 41.1455697310095\n ],\n [\n -75.5419921875,\n 41.13729606112276\n ],\n [\n -75.322265625,\n 41.104190944576466\n ],\n [\n -75.377197265625,\n 41.22824901518529\n ],\n [\n -75.377197265625,\n 41.28606238749825\n ],\n [\n -75.377197265625,\n 41.43449030894922\n ],\n [\n -75.399169921875,\n 41.6154423246811\n ],\n [\n -75.34423828125,\n 41.68111756290652\n ],\n [\n -75.2783203125,\n 41.91045347666418\n ],\n [\n -75.38818359375,\n 42.00848901572399\n ],\n [\n -75.377197265625,\n 42.09007006868398\n ],\n [\n -75.223388671875,\n 42.17968819665961\n ],\n [\n -74.970703125,\n 42.26917949243506\n ],\n [\n -74.8388671875,\n 42.32606244456202\n ],\n [\n -74.520263671875,\n 42.415346114253616\n ],\n [\n -74.278564453125,\n 42.54498667313236\n ],\n [\n -74.322509765625,\n 42.64204079304426\n ],\n [\n -74.410400390625,\n 42.80346172417078\n ],\n [\n -74.68505859374999,\n 42.924251753870685\n ],\n [\n -75.069580078125,\n 42.98053954751642\n ],\n [\n -75.38818359375,\n 42.96446257387128\n ],\n [\n -75.684814453125,\n 42.93229601903058\n ],\n [\n -75.9375,\n 42.87596410238256\n ],\n [\n -76.201171875,\n 42.827638636242284\n ],\n [\n -76.26708984375,\n 42.72280375732727\n ],\n [\n -76.2890625,\n 42.601619944327965\n ],\n [\n -76.2890625,\n 42.52069952914966\n ],\n [\n -76.343994140625,\n 42.415346114253616\n ],\n [\n -76.46484375,\n 42.382894009614034\n ],\n [\n -76.640625,\n 42.431565872579185\n ],\n [\n -76.7724609375,\n 42.39912215986002\n ],\n [\n -76.80541992187499,\n 42.24478535602799\n ],\n [\n -76.88232421875,\n 42.285437007491545\n ],\n [\n -76.9482421875,\n 42.415346114253616\n ],\n [\n -77.04711914062499,\n 42.44778143462245\n ],\n [\n -77.14599609375,\n 42.415346114253616\n ],\n [\n -77.2998046875,\n 42.382894009614034\n ],\n [\n -77.222900390625,\n 42.54498667313236\n ],\n [\n -77.442626953125,\n 42.69858589169842\n ],\n [\n -77.574462890625,\n 42.60970621339408\n ],\n [\n -77.640380859375,\n 42.48830197960227\n ],\n [\n -77.728271484375,\n 42.439674178149424\n ],\n [\n -77.6513671875,\n 42.31793945446847\n ],\n [\n -77.596435546875,\n 42.22851735620852\n ],\n [\n -77.5634765625,\n 42.09007006868398\n ],\n [\n -77.6953125,\n 41.92680320648791\n ],\n [\n -77.9150390625,\n 41.83682786072714\n ],\n [\n -78.0908203125,\n 41.795888098191426\n ],\n [\n -78.453369140625,\n 41.599013054830216\n ],\n [\n -78.453369140625,\n 41.50857729743935\n ],\n [\n -78.42041015625,\n 41.376808565702355\n ],\n [\n -78.3984375,\n 41.21172151054787\n ],\n [\n -78.519287109375,\n 41.054501963290505\n ],\n [\n -78.541259765625,\n 40.9218144123785\n ],\n [\n -78.409423828125,\n 40.713955826286046\n ],\n [\n -78.299560546875,\n 40.55554790286311\n ],\n [\n -78.343505859375,\n 40.48873742102282\n ],\n [\n -78.475341796875,\n 40.30466538259176\n ],\n [\n -78.64013671875,\n 40.06125658140474\n ],\n [\n -78.826904296875,\n 39.9434364619742\n ],\n [\n -78.848876953125,\n 39.80853604144591\n ],\n [\n -78.85986328125,\n 39.715638134796336\n ],\n [\n -78.99169921875,\n 39.69873414348139\n ],\n [\n -79.046630859375,\n 39.64799732373418\n ],\n [\n -79.266357421875,\n 39.436192999314095\n ],\n [\n -79.420166015625,\n 39.2832938689385\n ],\n [\n -79.354248046875,\n 39.26628442213066\n ],\n [\n -79.266357421875,\n 39.232253141714885\n ],\n [\n -79.2333984375,\n 39.155622393423215\n ],\n [\n -79.244384765625,\n 39.01918369029134\n ],\n [\n -79.27734374999999,\n 38.89103282648846\n ],\n [\n -79.398193359375,\n 38.74551518488265\n ],\n [\n -79.661865234375,\n 38.54816542304656\n ],\n [\n -79.683837890625,\n 38.47079371120379\n ],\n [\n -79.727783203125,\n 38.34165619279595\n ],\n [\n -79.815673828125,\n 38.20365531807149\n ],\n [\n -80.04638671875,\n 38.013476231041935\n ],\n [\n -80.17822265625,\n 37.779398571318765\n ],\n [\n -80.2880859375,\n 37.59682400108367\n ],\n [\n -80.4638671875,\n 37.47485808497102\n ],\n [\n -80.694580078125,\n 37.38761749978395\n ],\n [\n -80.771484375,\n 37.23032838760387\n ],\n [\n -80.57373046875,\n 37.26530995561875\n ],\n [\n -80.44189453125,\n 37.309014074275915\n ],\n [\n -80.255126953125,\n 37.31775185163688\n ],\n [\n -80.013427734375,\n 37.3002752813443\n ],\n [\n -79.8486328125,\n 37.23907530202184\n ],\n [\n -79.771728515625,\n 37.18657859524883\n ],\n [\n -79.6728515625,\n 37.07271048132943\n ],\n [\n -79.541015625,\n 37.09900294387622\n ],\n [\n -79.354248046875,\n 37.142803443716836\n ],\n [\n -79.1455078125,\n 37.10776507118514\n ],\n [\n -79.112548828125,\n 37.055177106660814\n ],\n [\n -78.936767578125,\n 36.932330061503144\n ],\n [\n -78.837890625,\n 36.94111143010769\n ],\n [\n -78.662109375,\n 37.055177106660814\n ],\n [\n -78.486328125,\n 37.03763967977139\n ],\n [\n -78.42041015625,\n 36.94111143010769\n ],\n [\n -78.20068359374999,\n 36.96744946416934\n ],\n [\n -77.904052734375,\n 37.03763967977139\n ],\n [\n -77.750244140625,\n 37.081475648860525\n ],\n [\n -77.53051757812499,\n 37.081475648860525\n ],\n [\n -77.354736328125,\n 37.07271048132943\n ],\n [\n -77.069091796875,\n 37.081475648860525\n ],\n [\n -76.959228515625,\n 37.01132594307015\n ],\n [\n -76.893310546875,\n 36.932330061503144\n ],\n [\n -76.871337890625,\n 36.83566824724438\n ],\n [\n -76.849365234375,\n 36.677230602346214\n ],\n [\n -76.7724609375,\n 36.527294814546245\n ],\n [\n -76.629638671875,\n 36.55377524336089\n ],\n [\n -76.46484375,\n 36.589068371399115\n ],\n [\n -76.35498046875,\n 36.48314061639213\n ],\n [\n -76.256103515625,\n 36.57142382346277\n ],\n [\n -76.190185546875,\n 36.66841891894786\n ],\n [\n -76.0693359375,\n 36.65079252503471\n ],\n [\n -75.9375,\n 36.66841891894786\n ],\n [\n -75.948486328125,\n 36.76529191711624\n ],\n [\n -75.904541015625,\n 37.01132594307015\n ],\n [\n -75.926513671875,\n 37.17782559332976\n ],\n [\n -75.882568359375,\n 37.42252593456307\n ],\n [\n -75.618896484375,\n 37.640334898059486\n ],\n [\n -75.509033203125,\n 37.82280243352756\n ],\n [\n -75.38818359375,\n 38.013476231041935\n ],\n [\n -75.16845703124999,\n 38.272688535980976\n ],\n [\n -75.1904296875,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"755","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Tyler J.","contributorId":261148,"corporation":false,"usgs":false,"family":"Thompson","given":"Tyler","email":"","middleInitial":"J.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":819369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":257637,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":819370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":819374,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":819368,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228570,"text":"70228570 - 2021 - A framework for assessing the ability to detect macroscale effects on fish growth","interactions":[],"lastModifiedDate":"2022-02-14T19:50:25.072912","indexId":"70228570","displayToPublicDate":"2020-10-08T14:50:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A framework for assessing the ability to detect macroscale effects on fish growth","docAbstract":"Various abiotic and biotic factors affect fish and their habitats at macroscales. For example, changes in global temperatures will likely alter demographic rates, including growth. However, to date, there is no statistical framework for assessing the ability to detect macroscale effects on fish growth under different sampling scenarios. We provide a generalized framework for calculating the frequentist and Bayesian power of detecting macroscale effects on fish growth. We illustrate this framework for a range of sampling scenarios that varied in the number of fish sampled per lake, the number of lakes sampled, and the magnitude of the temperature effect on growth for two case study species. However, the framework can be adapted to investigate other species, sampling scenarios, and environmental drivers. The ability to detect macroscale effects was more affected by the number of lakes sampled rather than the number of fish sampled from each lake. Confidently detecting macroscale effects likely requires sampling hundreds of lakes. This was true for both case study species, despite different life histories and extents of spatial variability in growth.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2019-0296","usgsCitation":"Massie, D.L., Li, Y., and Wagner, T., 2021, A framework for assessing the ability to detect macroscale effects on fish growth: Canadian Journal of Fisheries and Aquatic Sciences, v. 78, no. 2, p. 165-172, https://doi.org/10.1139/cjfas-2019-0296.","productDescription":"8 p.","startPage":"165","endPage":"172","ipdsId":"IP-111810","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Massie, Danielle L.","contributorId":196717,"corporation":false,"usgs":false,"family":"Massie","given":"Danielle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":834633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Yan","contributorId":264515,"corporation":false,"usgs":false,"family":"Li","given":"Yan","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":834634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834632,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217816,"text":"70217816 - 2021 - Maternal transfer of polychlorinated biphenyls in Pacific sand lance (Ammodytes personatus), Puget Sound, Washington","interactions":[],"lastModifiedDate":"2021-02-04T14:10:02.564138","indexId":"70217816","displayToPublicDate":"2020-10-08T08:05:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Maternal transfer of polychlorinated biphenyls in Pacific sand lance (Ammodytes personatus), Puget Sound, Washington","docAbstract":"We measured polychlorinated biphenyls (PCBs) in multiple age and size classes of Pacific sand lance (Ammodytes personatus), including eggs, young-of-the year, and adults to evaluate maternal transfer as a pathway for contaminant uptake and to add to the limited information on the occurrence of PCBs in sand lance in Puget Sound. Sampling was replicated at an urban embayment (Eagle Harbor) and a state park along an open shoreline (Clayton Beach), during spring and fall. Lipid-normalized concentrations of PCBs in sand lance at Eagle Harbor were 5–11 times higher than PCB concentrations in comparable samples at Clayton Beach. This was true for every life stage and size class of sand lance, including eggs removed from females. The same trend was observed in environmental samples. In Eagle Harbor, PCB concentrations in unfiltered water (0.19 ng/L), sieved (<63 μm) nearshore bed sediments (0.78 ng/g dw) and suspended particulate matter (1.69 ng/g dw) were 2–3 times higher than equivalent samples from near Clayton Beach. Sand lance collected in the fall (buried in sediment during presumed winter dormancy) had lower lipid content and up to four times higher PCB concentrations than comparably sized fish collected in the spring (by beach seine). Lipid content was 5–8% in spring fish and was reduced in fall fish (1–3%). Male sand lance had higher PCB concentrations than comparable females. All egg samples contained PCBs, and the lipid normalized egg/female concentration ratios were close to 1 (0.87–0.96), confirming that maternal transfer of PCBs occurred, resulting in sand lance eggs and early life stages being contaminated with PCBs even before they are exposed to exogenous sources. These life stages are prey for an even wider range of species than consume adult sand lance, creating additional exposure pathways for biota and increasing the challenges for mitigation of PCBs in the food web.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.142819","usgsCitation":"Liedtke, T.L., and Conn, K., 2021, Maternal transfer of polychlorinated biphenyls in Pacific sand lance (Ammodytes personatus), Puget Sound, Washington: Science of the Total Environment, v. 764, 142819, 12 p., https://doi.org/10.1016/j.scitotenv.2020.142819.","productDescription":"142819, 12 p.","ipdsId":"IP-119062","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":454394,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.142819","text":"Publisher Index Page"},{"id":436655,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SKVGPC","text":"USGS data release","linkHelpText":"Maternal transfer of PCBs in Pacific sand lance in Puget Sound, Washington"},{"id":382947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.431396484375,\n 46.92025531537451\n ],\n [\n -121.97021484374999,\n 46.92025531537451\n ],\n [\n -121.97021484374999,\n 48.99463598353405\n ],\n [\n -123.431396484375,\n 48.99463598353405\n ],\n [\n -123.431396484375,\n 46.92025531537451\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"764","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":809822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809823,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223706,"text":"70223706 - 2021 - More than one way to kill a spruce forest: The role of fire and climate in the late-glacial termination of spruce woodlands across the southern Great Lakes","interactions":[],"lastModifiedDate":"2021-09-02T12:53:25.277365","indexId":"70223706","displayToPublicDate":"2020-10-08T07:44:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"More than one way to kill a spruce forest: The role of fire and climate in the late-glacial termination of spruce woodlands across the southern Great Lakes","docAbstract":"- In the southern Great Lakes Region, North America, between 19,000 and 8,000 years ago, temperatures rose by 2.5–6.5°C and spruce Picea forests/woodlands were replaced by mixed-deciduous or pine Pinus forests. The demise of Picea forests/woodlands during the last deglaciation offers a model system for studying how changing climate and disturbance regimes interact to trigger declines of dominant species and vegetation-type conversions.
- The role of rising temperatures in driving the regional demise of Picea forests/woodlands is widely accepted, but the role of fire is poorly understood. We studied the effect of changing fire activity on Picea declines and rates of vegetation composition change using fossil pollen and macroscopic charcoal from five high-resolution lake sediment records.
- The decline of Picea forests/woodlands followed two distinct patterns. At two sites (Stotzel-Leis and Silver Lake), fire activity reached maximum levels during the declines and both charcoal accumulation rates and fire frequency were significantly and positively associated with vegetation composition change rates. At these sites, Picea declined to low levels by 14 kyr BP and was largely replaced by deciduous hardwood taxa like ash Fraxinus, hop-hornbeam/hornbeam Ostrya/Carpinus and elm Ulmus. However, this ecosystem transition was reversible, as Picea re-established at lower abundances during the Younger Dryas.
- At the other three sites, there was no statistical relationship between charcoal accumulation and vegetation composition change rates, though fire frequency was a significant predictor of rates of vegetation change at Appleman Lake and Triangle Lake Bog. At these sites, Picea declined gradually over several thousand years, was replaced by deciduous hardwoods and high levels of Pinus and did not re-establish during the Younger Dryas.
- Synthesis. Fire does not appear to have been necessary for the climate-driven loss of Picea woodlands during the last deglaciation, but increased fire frequency accelerated the decline of Picea in some areas by clearing the way for thermophilous deciduous hardwood taxa. Hence, warming and intensified fire regimes likely interacted in the past to cause abrupt losses of coniferous forests and could again in the coming decades.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13517","usgsCitation":"Jensen, A., Fastovich, D., Gill, J.L., Jackson, S., Russell, J.M., Bevington, J., and Hayes, K., 2021, More than one way to kill a spruce forest: The role of fire and climate in the late-glacial termination of spruce woodlands across the southern Great Lakes: Journal of Ecology, v. 109, no. 1, p. 459-477, https://doi.org/10.1111/1365-2745.13517.","productDescription":"19 p.","startPage":"459","endPage":"477","ipdsId":"IP-116818","costCenters":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":454396,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13517","text":"Publisher Index Page"},{"id":388800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Michigan, Ohio","otherGeospatial":"Southern Great Lakes Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.802734375,\n 39.50404070558415\n ],\n [\n -80.419921875,\n 39.50404070558415\n ],\n [\n -80.419921875,\n 42.45588764197166\n ],\n [\n -87.802734375,\n 42.45588764197166\n ],\n [\n -87.802734375,\n 39.50404070558415\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jensen, Allison","contributorId":265256,"corporation":false,"usgs":false,"family":"Jensen","given":"Allison","email":"","affiliations":[],"preferred":false,"id":822396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fastovich, David","contributorId":225614,"corporation":false,"usgs":false,"family":"Fastovich","given":"David","email":"","affiliations":[],"preferred":false,"id":822482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gill, Jacquelyn L.","contributorId":265257,"corporation":false,"usgs":false,"family":"Gill","given":"Jacquelyn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":822483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":822484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russell, James M.","contributorId":174740,"corporation":false,"usgs":false,"family":"Russell","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":27506,"text":"Department of Earth, Environmental and Planetary Sciences, Brown University, Providence RI 02912 USA","active":true,"usgs":false}],"preferred":false,"id":822485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bevington, Joseph","contributorId":265258,"corporation":false,"usgs":false,"family":"Bevington","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":822486,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayes, Katherine","contributorId":265259,"corporation":false,"usgs":false,"family":"Hayes","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":822487,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70260917,"text":"70260917 - 2021 - Landslide monitoring and runout hazard assessment by integrating multi-source remote sensing and numerical models: An application to the Gold Basin landslide complex, northern Washington","interactions":[],"lastModifiedDate":"2024-11-14T15:34:15.1892","indexId":"70260917","displayToPublicDate":"2020-10-07T09:24:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Landslide monitoring and runout hazard assessment by integrating multi-source remote sensing and numerical models: An application to the Gold Basin landslide complex, northern Washington","docAbstract":"The landslide complex at Gold Basin, Washington, has been drawing considerable attention after a catastrophic runout of the nearby landslide at Oso, Washington, in 2014. To evaluate potential threats of the Gold Basin landslide to the campground down the slope, remote sensing and numerical modeling were integrated to monitor recent landslide activity and simulate hypothetical runout scenarios. Bare-earth LiDAR DEM (digital elevation model) differencing, InSAR (Interferometric Synthetic Aperture Radar), and offset tracking of SAR images reveal that localized collapses at the headscarps have been the primary type of landslide activity at Gold Basin from 2005 to 2019, and currently no signs indicative of movement of a large centralized block or a deep-seated main body were detected. The maximum horizontal deformation rate is 5 m/year occurring primarily from headscarp recession of the middle lobe, and the annual landsliding volume of the whole landslide complex averages 1.03 × 105 m3. From three-dimensional limit equilibrium analysis of generalized terrace structures, the maximum landslide volume is estimated as 2.0 × 106 m3. Simulations of hypothetical runout scenarios were carried out using the depth-averaged two-phase model D-claw with above-obtained landslide geometry constraints. The simulation results demonstrate that debris flows with volume less than 105 m3 only pose limited threats to the campground, while volumes over 106 m3 could cause severe damages. Consequently, the estimated maximum landslide volume of 2.0 × 106 m3 suggests a potential risk to the campground nearby. Adaption of our methodology could prove useful for evaluating other similar landslides globally for hazards prevention and mitigation.
","language":"English","publisher":"Springer","doi":"10.1007/s10346-020-01533-0","usgsCitation":"Xu, Y., George, D.L., Kim, J., Lu, Z., Riley, M., Griffin, T., and de la Fuente, J., 2021, Landslide monitoring and runout hazard assessment by integrating multi-source remote sensing and numerical models: An application to the Gold Basin landslide complex, northern Washington: Landslides, v. 18, p. 1131-1141, https://doi.org/10.1007/s10346-020-01533-0.","productDescription":"11 p.","startPage":"1131","endPage":"1141","ipdsId":"IP-118305","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":464027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Gold Basin landslide complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.70,\n 48.2855\n ],\n [\n -121.70,\n 48.0755\n ],\n [\n -121.855,\n 48.0755\n ],\n [\n -121.855,\n 48.2855\n ],\n [\n -121.70,\n 48.2855\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2020-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Yuankun","contributorId":261747,"corporation":false,"usgs":false,"family":"Xu","given":"Yuankun","email":"","affiliations":[{"id":52987,"text":"Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75205, USA","active":true,"usgs":false}],"preferred":false,"id":918501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Jin-Woo","contributorId":69486,"corporation":false,"usgs":true,"family":"Kim","given":"Jin-Woo","affiliations":[],"preferred":false,"id":918503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Zhong","contributorId":344911,"corporation":false,"usgs":false,"family":"Lu","given":"Zhong","affiliations":[],"preferred":false,"id":918504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riley, Mark","contributorId":346244,"corporation":false,"usgs":false,"family":"Riley","given":"Mark","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":918505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Griffin, Todd","contributorId":346245,"corporation":false,"usgs":false,"family":"Griffin","given":"Todd","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":918506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"de la Fuente, Juan","contributorId":346246,"corporation":false,"usgs":false,"family":"de la Fuente","given":"Juan","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":918507,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70222953,"text":"70222953 - 2021 - Remote thermal detection of exfoliation sheet deformation","interactions":[],"lastModifiedDate":"2021-08-10T13:38:59.373892","indexId":"70222953","displayToPublicDate":"2020-10-07T08:35:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Remote thermal detection of exfoliation sheet deformation","docAbstract":"A growing body of research indicates that rock slope failures, particularly from exfoliating cliffs, are promoted by rock deformations induced by daily temperature cycles. Although previous research has described how these deformations occur, full three-dimensional monitoring of both the deformations and the associated temperature changes has not yet been performed. Here we use integrated terrestrial laser scanning (TLS) and infrared thermography (IRT) techniques to monitor daily deformations of two granitic exfoliating cliffs in Yosemite National Park (CA, USA). At one cliff, we employed TLS and IRT in conjunction with in situ instrumentation to confirm previously documented behavior of an exfoliated rock sheet, which experiences daily closing and opening of the exfoliation fracture during rock cooling and heating, respectively, with a few hours delay from the minimum and maximum temperatures. The most deformed portion of the sheet coincides with the area where both the fracture aperture and the temperature variations are greatest. With the general deformation and temperature relations established, we then employed IRT at a second cliff, where we remotely detected and identified 11 exfoliation sheets that displayed those general thermal relations. TLS measurements then subsequently confirmed the deformation patterns of these sheets showing that sheets with larger apertures are more likely to display larger thermal-related deformations. Our high-frequency monitoring shows how coupled TLS and IRT allows for remote detection of thermally induced deformations and, importantly, how IRT could potentially be used on its own to identify partially detached exfoliation sheets capable of large-scale deformation. These results offer a new and efficient approach for investigating potential rockfall sources on exfoliating cliffs.","language":"English","publisher":"Springer Link","doi":"10.1007/s10346-020-01524-1","usgsCitation":"Guerin, A., Jaboyedoff, M., Collins, B.D., Stock, G., Derron, M., Abellan, A., and Matasci, B., 2021, Remote thermal detection of exfoliation sheet deformation: Landslides, v. 18, p. 865-879, https://doi.org/10.1007/s10346-020-01524-1.","productDescription":"15 p.","startPage":"865","endPage":"879","ipdsId":"IP-118720","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":454400,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10346-020-01524-1","text":"Publisher Index Page"},{"id":387805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.76333618164062,\n 37.639247435988196\n ],\n [\n -119.4934844970703,\n 37.639247435988196\n ],\n [\n -119.4934844970703,\n 37.79893346559687\n ],\n [\n -119.76333618164062,\n 37.79893346559687\n ],\n [\n -119.76333618164062,\n 37.639247435988196\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2020-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Guerin, Antoine","contributorId":236904,"corporation":false,"usgs":false,"family":"Guerin","given":"Antoine","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":820897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaboyedoff, Michel","contributorId":205586,"corporation":false,"usgs":false,"family":"Jaboyedoff","given":"Michel","affiliations":[{"id":37117,"text":"University of Lausanne (Switzerland)","active":true,"usgs":false}],"preferred":false,"id":820898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stock, Greg M.","contributorId":258810,"corporation":false,"usgs":false,"family":"Stock","given":"Greg M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":820900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derron, Marc-Henri","contributorId":236906,"corporation":false,"usgs":false,"family":"Derron","given":"Marc-Henri","email":"","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":820901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abellan, Antonio","contributorId":263471,"corporation":false,"usgs":false,"family":"Abellan","given":"Antonio","email":"","affiliations":[{"id":35453,"text":"University of Leeds, UK","active":true,"usgs":false}],"preferred":false,"id":820902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matasci, Battista","contributorId":204938,"corporation":false,"usgs":false,"family":"Matasci","given":"Battista","email":"","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":820903,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70217785,"text":"70217785 - 2021 - Dendritic reidite from the Chesapeake Bay impact horizon, Ocean Drilling Program Site 1073 (offshore northeastern USA): A fingerprint of distal ejecta?","interactions":[],"lastModifiedDate":"2021-02-02T12:38:43.102242","indexId":"70217785","displayToPublicDate":"2020-10-07T06:33:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Dendritic reidite from the Chesapeake Bay impact horizon, Ocean Drilling Program Site 1073 (offshore northeastern USA): A fingerprint of distal ejecta?","docAbstract":"High-pressure minerals provide records of processes not normally preserved in Earth’s crust. Reidite, a quenchable polymorph of zircon, forms at pressures >20 GPa during shock compression. However, there is no broad consensus among empirical, experimental, and theoretical studies on the nature of the polymorphic transformation. Here we decipher a multistage history of reidite growth recorded in a zircon grain in distal impact ejecta (offshore northeastern United States) from the ca. 35 Ma Chesapeake Bay impact event which, remarkably, experienced near-complete conversion (89%) to reidite. The grain displays two distinctive reidite habits: (1) intersecting sets of planar lamellae that are dark in cathodoluminescence (CL); and (2) dendritic epitaxial overgrowths on the lamellae that are luminescent in CL. While the former is similar to that described in literature, the latter has not been previously reported. A two-stage growth model is proposed for reidite formation at >40 GPa in Chesapeake Bay impact ejecta: formation of lamellar reidite by shearing during shock compression, followed by dendrite growth, also at high pressure, via recrystallization. The dendritic reidite is interpreted to nucleate on lamellae and replace damaged zircon adjacent to lamellae, which may be amorphous ZrSiO4 or possibly an intermediate phase, all before quenching. These results provide new insights on the microstructural evolution of the high-pressure polymorphic transformation over the microseconds-long interval of reidite stability during meteorite impact. Given the formation conditions, dendritic reidite may be a unique indicator of distal ejecta.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G47860.1","usgsCitation":"Cavosie, A.J., Biren, M.C., Hodges, K.V., Wartho, J., Horton,, J., and Koeberl, C., 2021, Dendritic reidite from the Chesapeake Bay impact horizon, Ocean Drilling Program Site 1073 (offshore northeastern USA): A fingerprint of distal ejecta?: Geology, v. 49, no. 2, p. 201-205, https://doi.org/10.1130/G47860.1.","productDescription":"5 p.","startPage":"201","endPage":"205","ipdsId":"IP-118547","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":486996,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":382866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Chesapeake Bay impact","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.2890625,\n 37.055177106660814\n ],\n [\n -75.1025390625,\n 37.055177106660814\n ],\n [\n -75.1025390625,\n 38.591113776147445\n ],\n [\n -76.2890625,\n 38.591113776147445\n ],\n [\n -76.2890625,\n 37.055177106660814\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavosie, Aaron J.","contributorId":248705,"corporation":false,"usgs":false,"family":"Cavosie","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":49985,"text":"Curtin University, Perth, WA, 6102, Australia","active":true,"usgs":false}],"preferred":false,"id":809646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biren, Marc C","contributorId":248706,"corporation":false,"usgs":false,"family":"Biren","given":"Marc","email":"","middleInitial":"C","affiliations":[{"id":36436,"text":"Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":809647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodges, Kip V. 0000-0003-2805-8899","orcid":"https://orcid.org/0000-0003-2805-8899","contributorId":229558,"corporation":false,"usgs":false,"family":"Hodges","given":"Kip","email":"","middleInitial":"V.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":809648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wartho, Jo-Anne","contributorId":248707,"corporation":false,"usgs":false,"family":"Wartho","given":"Jo-Anne","email":"","affiliations":[{"id":49986,"text":"GEOMAR Helmholltz Centre for Ocean Research, Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":809649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":809650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koeberl, Christian","contributorId":219447,"corporation":false,"usgs":false,"family":"Koeberl","given":"Christian","email":"","affiliations":[],"preferred":false,"id":809651,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70217997,"text":"70217997 - 2021 - Evaluating the dynamics of groundwater, lakebed transport, nutrient inflow and algal blooms in Upper Klamath Lake, Oregon, USA","interactions":[],"lastModifiedDate":"2021-02-11T19:59:24.92397","indexId":"70217997","displayToPublicDate":"2020-10-06T13:54:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the dynamics of groundwater, lakebed transport, nutrient inflow and algal blooms in Upper Klamath Lake, Oregon, USA","docAbstract":"Transport of nutrients to lakes can occur via surface-water inflow, atmospheric deposition, groundwater (GW) inflow and benthic processes. Identifying and quantifying within-lake nutrient sources and recycling processes is challenging. Prior studies in hypereutrophic Upper Klamath Lake, Oregon, USA, indicated that ~60% of the early summer phosphorus (P) load to the lake was internal and hypothesized to be lakebed sediment release. Dynamic nutrient transport processes were examined to better characterize the nutrient sources. One-dimensional heat transport models calibrated to observed lakebed temperatures and a cross-sectional GW flow model provided estimates of GW-inflow rates that were greatest in spring and decreased through summer. One-dimensional solute transport models calibrated to observed lakebed pore-water dissolved silica (Si) and dissolved phosphate-phosphorus (DP) concentrations indicated that nutrients were transported from the lakebed by advection, diffusion, and enhanced mixing by benthic organisms and waves, and that DP removal occurred near the lakebed interface. Estimated water, Si, DP and total-phosphorus (TP) budgets indicated that GW contributed 21% of lake water inflow and at least 26, 20 and 16% of total Si, DP and TP inflow, respectively, when conservatively assuming background GW nutrient concentrations. However, lakebed GW (LGW) is enriched in nutrients during flow through lakebed sediment and the estimated GW contribution increased to 29 (33), 49 (67) and 43% (61%) of total Si, DP and TP inflow, respectively, if 20% (50%) of GW inflow to the lake was assumed to have LGW concentrations. Net nutrient inflow to the lake was greatest in spring and coincident with the annual diatom bloom. Inflowing dissolved nutrients appear to be assimilated by diatoms during the spring and become available for the summer Aphanizomenon flos-aquae bloom when the diatoms senesce. Thus, nutrient-enriched GW inflow and nutrient recycling by successive algal blooms must be considered when evaluating internal nutrient loading to lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.142768","usgsCitation":"Essaid, H.I., Kuwabara, J.S., Corson-Dosch, N., Carter, J.L., and Topping, B.R., 2021, Evaluating the dynamics of groundwater, lakebed transport, nutrient inflow and algal blooms in Upper Klamath Lake, Oregon, USA: Science of the Total Environment, v. 765, 142768, 16 p., https://doi.org/10.1016/j.scitotenv.2020.142768.","productDescription":"142768, 16 p.","ipdsId":"IP-115458","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":436656,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98C5H5N","text":"USGS data release","linkHelpText":"MODFLOW, MT3D-USGS and VS2DH simulations used to estimate groundwater and nutrient inflow to Upper Klamath Lake, Oregon"},{"id":383225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.10273742675781,\n 42.21987327563142\n ],\n [\n -121.79374694824219,\n 42.21987327563142\n ],\n [\n -121.79374694824219,\n 42.6026307853624\n ],\n [\n -122.10273742675781,\n 42.6026307853624\n ],\n [\n -122.10273742675781,\n 42.21987327563142\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"765","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":810172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":810173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corson-Dosch, Nicholas 0000-0002-6776-6241","orcid":"https://orcid.org/0000-0002-6776-6241","contributorId":202630,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Nicholas","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, James L. 0000-0002-0104-9776","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":215951,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":810175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Topping, Brent R. 0000-0002-7887-4221 btopping@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-4221","contributorId":1484,"corporation":false,"usgs":true,"family":"Topping","given":"Brent","email":"btopping@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":810176,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215586,"text":"70215586 - 2021 - VS30 and Dominant Site Frequency (fd) as Provisional Station ML Corrections (dML) in California","interactions":[],"lastModifiedDate":"2021-02-03T23:47:48.335888","indexId":"70215586","displayToPublicDate":"2020-10-06T07:25:01","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}},"displayTitle":"VS30 and Dominant Site Frequency (fd) as Provisional Station ML Corrections (dML) in California","title":"VS30 and Dominant Site Frequency (fd) as Provisional Station ML Corrections (dML) in California","docAbstract":"New seismic stations added to a regional seismic network cannot be used to calculate local magnitude (ML\">ML) until a revised regionwide amplitude decay function is developed. Each station must record a minimum number of local and regional earthquakes that meet specific amplitude requirements prior to recalibration of the amplitude decay function. Station component adjustments (dML\">dML; Uhrhammer et al., 2011) are then calculated after inverting for a new regional amplitude decay function, constrained by the sum of dML\">dML for long‐running stations. Therefore, there can be significant delay between when a new station starts contributing real‐time waveform packets and when data can be included in magnitude determinations. We propose the use of known estimates of seismic site conditions such as the time‐averaged shear‐wave velocity (VS\">VS) of the upper 30 m (VS30\">VS30) and the site dominant frequency (fd\">fd) to calculate dML\">dML. Previously established dML\">dML, measured VS30\">VS30, and fd\">fd data are available for between 126 and 458 horizontal components (east–west and north–south) at 81 seismic stations in the California Integrated Seismic Network; dML\">dMLdML\"> data range from −1.10 to 0.39, VS30\">VS30 values range from 202 to 1464  m/s\">1464 m/s, and 440 fd\">fd values are compiled from earthquake and microseismic records that range from 0.13 to 21 Hz. We find VS30\">VS30 and dML\">dML exhibit a positive coefficient of determination (R=0.59\">R=0.59), indicating that as VS30\">VS30 increases, dML\">dML increases. This implies that greater site amplification (lower VS30\">VS30) results in smaller dML\">dML. fd\">fd and dML\">dML also generally exhibit a positive correlation (R2<0.56\">R2<0.56), which implies lower dML\">dML values are related to site resonance at depth‐dependent frequencies. Using the developed relationships, VS30\">VS30 or fd\">fd measurements can be used to establish a provisional dML\">dML for newly established stations. This procedure allows new stations to contribute to regional network ML\">ML determinations immediately without the need to wait until a minimum set of earthquake data has been recorded.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200130","usgsCitation":"Yong, A., Cochran, E.S., Andrews, J., Hudson, K., Antony Martin, Yu, E., Herrick, J.A., and Dozal, J., 2021, VS30 and Dominant Site Frequency (fd) as Provisional Station ML Corrections (dML) in California: Bulletin of the Seismological Society of America, v. 111, no. 1, p. 61-76, https://doi.org/10.1785/0120200130.","productDescription":"16 p.","startPage":"61","endPage":"76","ipdsId":"IP-114092","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":454403,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://authors.library.caltech.edu/105846/","text":"External Repository"},{"id":379680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.78320312499999,\n 32.65787573695528\n ],\n [\n -114.43359375,\n 32.65787573695528\n ],\n [\n -114.43359375,\n 36.84446074079564\n ],\n [\n -122.78320312499999,\n 36.84446074079564\n ],\n [\n -122.78320312499999,\n 32.65787573695528\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Yong, Alan 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":204730,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":802845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":802846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Jennifer","contributorId":187764,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","affiliations":[],"preferred":false,"id":802853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Kenneth","contributorId":217353,"corporation":false,"usgs":false,"family":"Hudson","given":"Kenneth","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":802854,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yu, Ellen","contributorId":222020,"corporation":false,"usgs":false,"family":"Yu","given":"Ellen","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":802856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Antony Martin","contributorId":243651,"corporation":false,"usgs":false,"family":"Antony Martin","affiliations":[{"id":40131,"text":"GeoVision, Inc.","active":true,"usgs":false}],"preferred":false,"id":802855,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herrick, Julie A. 0000-0003-0682-760X","orcid":"https://orcid.org/0000-0003-0682-760X","contributorId":243649,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":true,"id":802847,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dozal, Jessica","contributorId":243653,"corporation":false,"usgs":false,"family":"Dozal","given":"Jessica","email":"","affiliations":[{"id":37164,"text":"University of Texas, El Paso","active":true,"usgs":false}],"preferred":false,"id":802857,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216475,"text":"70216475 - 2021 - Free-roaming horses disrupt greater sage-grouse lekking activity in the Great Basin","interactions":[],"lastModifiedDate":"2020-11-20T13:32:59.355157","indexId":"70216475","displayToPublicDate":"2020-10-05T07:27:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Free-roaming horses disrupt greater sage-grouse lekking activity in the Great Basin","docAbstract":"Greater Sage-Grouse (Centrocercus urophasianus; hereafter, sage-grouse) and free-roaming horses (Equus caballus) co-occur within large portions of sagebrush ecosystems within the Great Basin of western North America. In recent decades, sage-grouse populations have declined substantially while concomitant free-roaming horse populations have increased drastically. Although multiple studies have reported free-roaming horses adversely impacting native ungulate species, direct interactions between free-roaming horses and sage-grouse have not been documented previously. We compiled sage-grouse lek count data and associated ungulate observations during spring of 2010 and 2013–2018. We used Bayesian multinomial logistic models to examine the response of breeding male sage-grouse to the presence of native (i.e. mule deer, pronghorn) and non-native (i.e. cattle, free-roaming horses) ungulates on active sage-grouse leks (traditional breeding grounds). We found sage-grouse were approximately five times more likely to be present on active leks concurrent with native ungulates compared to non-native ungulates. Of the four different ungulate species, sage-grouse were least likely to be at active leks when free-roaming horses were present. Our results indicate that free-roaming horse presence at lek sites negatively influences sage-grouse lekking activity. Because sage-grouse population growth is sensitive to breeding success, disruption of leks by free-roaming horses could reduce breeding opportunities and limit breeding areas within sage-grouse habitat.
The Conservation Reserve Program (CRP) has the potential to influence the distribution and abundance of grasslands in many agricultural landscapes, and thereby provide habitat for grassland-dependent wildlife. Greater prairie-chickens (Tympanuchus cupido pinnatus) are a grassland-dependent species with large area requirements and have been used as an indicator of grassland ecosystem function; they are also a species of conservation concern across much of their range. Greater prairie-chicken populations respond to the amount and configuration of grasslands and wetlands in agriculturally dominated landscapes, which in turn can be influenced by the CRP; however, CRP enrollments and enrollment caps have declined from previous highs. Therefore, prioritizing CRP reenrollments and new enrollments to achieve the greatest benefit for grassland-dependent wildlife seems prudent. We used models relating either lek density or the number of males at leks to CRP enrollments and the resulting landscape structure to predict changes in greater prairie-chicken abundance related to changes in CRP enrollments. We simulated 3 land-cover scenarios: expiration of existing CRP enrollments, random, small-parcel (4,040 m2) addition of CRP grasslands, and strategic, large-parcel (80,000 m2) addition of CRP grasslands. Large-parcel additions were the average enrollment size in northwestern Minnesota, USA, within the context of a regional prairie restoration plan. In our simulations of CRP enrollment expirations, the abundance of greater prairie-chickens declined when grassland landscape contiguity declined with loss of CRP enrollments. Simulations of strategic CRP enrollment with large parcels to increase grassland contiguity more often increased greater prairie-chicken abundance than random additions of the same area in small parcels that did not increase grassland contiguity. In some cases, CRP enrollments had no or a negative predicted change in greater prairie-chicken abundance because they provided insufficient grassland contiguity on the landscape, or increased cover-type fragmentation. Predicted greater prairie-chicken abundance increased under large-parcel and small-parcel scenarios of addition of CRP grassland; the greatest increases were associated with large-parcel additions. We suggest that strategic application of the CRP to improve grassland contiguity can benefit greater prairie-chicken populations more than an opportunistic approach lacking consideration of the larger landscape context. Strategic implementation of the CRP can benefit greater prairie-chicken populations in northwestern Minnesota, and likely elsewhere in landscapes where grassland continuity may be a limiting factor.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21960","usgsCitation":"Adkins, K., Roy, C.L., Wright, R.G., and Andersen, D.E., 2021, Simulating strategic implementation of the CRP to increase Greater prairie-chicken abundance: Journal of Wildlife Management, v. 85, no. 1, p. 27-40, https://doi.org/10.1002/jwmg.21960.","productDescription":"14 p.","startPage":"27","endPage":"40","ipdsId":"IP-114569","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.05322265625,\n 45.98169518512228\n ],\n [\n -94.81201171875,\n 45.98169518512228\n ],\n [\n -94.81201171875,\n 48.472921272487824\n ],\n [\n -97.05322265625,\n 48.472921272487824\n ],\n [\n -97.05322265625,\n 45.98169518512228\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Adkins, Kalysta","contributorId":274612,"corporation":false,"usgs":false,"family":"Adkins","given":"Kalysta","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":833978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Charlotte L.","contributorId":274613,"corporation":false,"usgs":false,"family":"Roy","given":"Charlotte","email":"","middleInitial":"L.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":833979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Robert G.","contributorId":274614,"corporation":false,"usgs":false,"family":"Wright","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":833980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224931,"text":"70224931 - 2021 - Behavioural response of sea lamprey (Petromyzon marinus) to acoustic stimuli in a small stream","interactions":[],"lastModifiedDate":"2021-10-06T12:40:02.738045","indexId":"70224931","displayToPublicDate":"2020-10-03T07:38:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Behavioural response of sea lamprey (Petromyzon marinus) to acoustic stimuli in a small stream","docAbstract":"Sea lamprey (Petromyzon marinus) are invasive in the Laurentian Great Lakes and parasitically feed on valued fishes. Migration barriers and selective pesticides are used to control sea lamprey, but there is a desire to develop additional control tools such as traps with nonphysical deterrents. Sound has been used as a deterrent for other invasive species, but its potential for manipulating sea lamprey behavior in natural stream conditions remains untested. Here, behavioral responses of upstream-migrating adult sea lamprey in response to low frequency sounds of 70 or 90 Hz was tracked in a small stream (8 m wide) using passive integrated transponder (PIT) telemetry. The low frequency sounds shifted sea lamprey distribution, with up to 30% more sea lamprey detected on PIT antennas without sound compared with PIT antennas with sound playing. Future studies could continue testing low frequency sounds in larger rivers with larger speakers for use as a natural deterrent at sea lamprey barriers to push sea lamprey toward traps.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0301","usgsCitation":"Heath, V., Miehls, S.M., Johnson, N.S., and Higgs, D., 2021, Behavioural response of sea lamprey (Petromyzon marinus) to acoustic stimuli in a small stream: Canadian Journal of Fisheries and Aquatic Sciences, v. 78, no. 4, p. 341-348, https://doi.org/10.1139/cjfas-2020-0301.","productDescription":"8 p.","startPage":"341","endPage":"348","ipdsId":"IP-120795","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":501093,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/104707","text":"External Repository"},{"id":390249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Heath, Victoria","contributorId":267201,"corporation":false,"usgs":false,"family":"Heath","given":"Victoria","email":"","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":824679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":824680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":824681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higgs, Dennis","contributorId":192314,"corporation":false,"usgs":false,"family":"Higgs","given":"Dennis","affiliations":[],"preferred":false,"id":824682,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259340,"text":"70259340 - 2021 - A checklist for crisis operations within volcano observatories","interactions":[],"lastModifiedDate":"2024-10-04T15:14:34.960859","indexId":"70259340","displayToPublicDate":"2020-10-02T10:12:35","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"13","title":"A checklist for crisis operations within volcano observatories","docAbstract":"We draw on our experience in assisting with international crises through the volcano disaster assistance program (VDAP) and during the eruptions of Mount St. Helens in 1980–1986 and 2004–2008 to offer recommendations for successful observatory operations during times of crisis. The degree of success in responding to a crisis is profoundly affected by the degree of preparation before a crisis arises—including the building of monitoring systems and databases to improve forecasting and establish effective partnerships with civil protection authorities and communities at risk. Success further depends on teamwork and communication during the crisis and on the level, progression, and duration of unrest itself (the crisis timeline). Some factors lie within the purview of the observatory to control; others are external and difficult or impossible to control. We focus on the first.
A myriad of specific tasks must be remembered and accomplished before, during, and after crises. Just as airline pilots use checklists to ensure that key items for aviation safety and aircraft performance are not overlooked, we recommend that volcanologists do the same. We offer here a checklist for volcanic crisis responses and encourage observatory scientists and managers to review and revise it to best suit their needs.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Forecasting and planning for volcanic hazards, Risks, and disasters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-818082-2.00013-5","usgsCitation":"Newhall, C., Pallister, J.S., and Miller, C.D., 2021, A checklist for crisis operations within volcano observatories, chap. 13 of Forecasting and planning for volcanic hazards, Risks, and disasters, v. 2, p. 493-544, https://doi.org/10.1016/B978-0-12-818082-2.00013-5.","productDescription":"52 p.","startPage":"493","endPage":"544","ipdsId":"IP-108683","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":462605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newhall, Christopher","contributorId":304587,"corporation":false,"usgs":false,"family":"Newhall","given":"Christopher","affiliations":[],"preferred":false,"id":914984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, C. Dan","contributorId":38145,"corporation":false,"usgs":true,"family":"Miller","given":"C.","email":"","middleInitial":"Dan","affiliations":[],"preferred":false,"id":914986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230082,"text":"70230082 - 2021 - Volcano geodesy: A critical tool for assessing the state of volcanoes and their potential for hazardous eruptive activity","interactions":[],"lastModifiedDate":"2022-03-28T14:33:49.793563","indexId":"70230082","displayToPublicDate":"2020-10-02T09:27:40","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Volcano geodesy: A critical tool for assessing the state of volcanoes and their potential for hazardous eruptive activity","docAbstract":"Since the beginning of the 20th century, volcano geodesy has evolved from time- and personnel-intensive methods for collecting discrete measurements to automated and/or remote tools that provide data with exceptional spatiotemporal resolution. By acknowledging and overcoming limitations related to data collection and interpretation, geodesy becomes a powerful tool for forecasting the onset and tracking the evolution of volcanic eruptions. In addition, geodetic data can be used for novel applications, such as mapping surface and topographic change due to the emplacement of volcanic deposits, detecting volcanic plumes, and constraining the properties of magmatic systems. These collective capabilities provide critical support for understanding magmatic processes at erupting volcanoes, while also offering important baseline data in advance of potential volcanic unrest. Future developments in volcano geodesy will involve not just new technology, but also advanced modeling and automated analysis methods that will provide a new understanding of the volcanic activity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Forecasting and planning for volcanic hazards, risks, and disasters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-818082-2.00003-2","usgsCitation":"Poland, M., and de Zeeuw-van Dalfsen, E., 2021, Volcano geodesy: A critical tool for assessing the state of volcanoes and their potential for hazardous eruptive activity, chap. 3 of Forecasting and planning for volcanic hazards, risks, and disasters, p. 75-115, https://doi.org/10.1016/B978-0-12-818082-2.00003-2.","productDescription":"41 p.","startPage":"75","endPage":"115","ipdsId":"IP-108637","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":397705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":838968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Zeeuw-van Dalfsen, Elske 0000-0003-2527-4932","orcid":"https://orcid.org/0000-0003-2527-4932","contributorId":217967,"corporation":false,"usgs":false,"family":"de Zeeuw-van Dalfsen","given":"Elske","email":"","affiliations":[{"id":39727,"text":"KNMI","active":true,"usgs":false}],"preferred":false,"id":838969,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219446,"text":"70219446 - 2021 - Harnessing landscape genomics to identify future climate resilient genotypes in a desert annual","interactions":[],"lastModifiedDate":"2021-04-07T11:43:48.856539","indexId":"70219446","displayToPublicDate":"2020-10-02T06:38:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Harnessing landscape genomics to identify future climate resilient genotypes in a desert annual","docAbstract":"Local adaptation features critically in shaping species responses to changing environments, complicating efforts to revegetate degraded areas. Rapid climate change poses an additional challenge that could reduce fitness of even locally sourced seeds in restoration. Predictive restoration strategies that apply seeds with favourable adaptations to future climate may promote long‐term resilience. Landscape genomics is increasingly used to assess spatial patterns in local adaption and may represent a cost‐efficient approach for identifying future‐adapted genotypes. To demonstrate such an approach, we genotyped 760 plants from 64 Mojave Desert populations of the desert annual Plantago ovata. Genome scans on 5,960 SNPs identified 184 potentially adaptive loci related to climate and satellite vegetation metrics. Causal modelling indicated that variation in potentially adaptive loci was not confounded by isolation by distance or isolation by habitat resistance. A generalized dissimilarity model (GDM) attributed spatial turnover in potentially adaptive loci to temperature, precipitation and NDVI amplitude, a measure of vegetation green‐up potential. By integrating a species distribution model (SDM), we find evidence that summer maximum temperature may both constrain the range of P. ovata and drive adaptive divergence in populations exposed to higher temperatures. Within the species’ current range, warm‐adapted genotypes are predicted to experience a fivefold expansion in climate niche by midcentury and could harbour key adaptations to cope with future climate. We recommend eight seed transfer zones and project each zone into its relative position in future climate. Prioritizing seed collection efforts on genotypes with expanding future habitat represents a promising strategy for restoration practitioners to address rapidly changing climates.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.15672","usgsCitation":"Shryock, D., Washburn, L.K., DeFalco, L., and Esque, T., 2021, Harnessing landscape genomics to identify future climate resilient genotypes in a desert annual: Molecular Ecology, v. 30, no. 3, p. 698-717, https://doi.org/10.1111/mec.15672.","productDescription":"20 p.","startPage":"698","endPage":"717","ipdsId":"IP-112517","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":436657,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92XN5OW","text":"USGS data release","linkHelpText":"Genetic and Habitat Data for Plantago ovata in the Mojave Desert"},{"id":384894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.30126953125,\n 36.27970720524017\n ],\n [\n -116.90551757812499,\n 35.191766965947394\n ],\n [\n -116.46606445312499,\n 34.352506668675936\n ],\n [\n -114.9609375,\n 34.05265942137599\n ],\n [\n -114.345703125,\n 34.379712580462204\n ],\n [\n -113.543701171875,\n 35.505400093441324\n ],\n [\n -116.30126953125,\n 36.27970720524017\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-01-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shryock, Daniel F. 0000-0003-0330-9815 dshryock@usgs.gov","orcid":"https://orcid.org/0000-0003-0330-9815","contributorId":208659,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel F.","email":"dshryock@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Washburn, Loraine K","contributorId":256960,"corporation":false,"usgs":false,"family":"Washburn","given":"Loraine","email":"","middleInitial":"K","affiliations":[{"id":51917,"text":"Rancho Santa Ana Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":813586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFalco, Lesley A. 0000-0002-7542-9261","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":208658,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813589,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223905,"text":"70223905 - 2021 - Proposed AASHTO guidelines for performance-based seismic bridge design","interactions":[],"lastModifiedDate":"2021-09-13T16:24:04.163339","indexId":"70223905","displayToPublicDate":"2020-10-01T11:21:55","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":74,"text":"Research Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"949","title":"Proposed AASHTO guidelines for performance-based seismic bridge design","docAbstract":"No abstract available.
","language":"English","publisher":"National Cooperative Highway Research Program","doi":"10.17226/25913","usgsCitation":"Murphy, T.P., Marsh, L., Bennion, S., Buckle, I.G., Luco, N., Anderson, D., Kowalsky, M., and Restrepo, J., 2021, Proposed AASHTO guidelines for performance-based seismic bridge design: Research Report 949, 86 p., https://doi.org/10.17226/25913.","productDescription":"86 p.","ipdsId":"IP-117993","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":389155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Thomas P.","contributorId":265703,"corporation":false,"usgs":false,"family":"Murphy","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":823219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsh, Lee","contributorId":16755,"corporation":false,"usgs":true,"family":"Marsh","given":"Lee","affiliations":[],"preferred":false,"id":823220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennion, Stuart","contributorId":265704,"corporation":false,"usgs":false,"family":"Bennion","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":823221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckle, Ian G.","contributorId":265705,"corporation":false,"usgs":false,"family":"Buckle","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":823222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Donald","contributorId":189872,"corporation":false,"usgs":false,"family":"Anderson","given":"Donald","affiliations":[],"preferred":false,"id":823224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kowalsky, Mervyn","contributorId":265706,"corporation":false,"usgs":false,"family":"Kowalsky","given":"Mervyn","email":"","affiliations":[],"preferred":false,"id":823225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Restrepo, Jose","contributorId":265707,"corporation":false,"usgs":false,"family":"Restrepo","given":"Jose","email":"","affiliations":[],"preferred":false,"id":823226,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70217753,"text":"70217753 - 2021 - Variation of lead isotopic composition and atomic weight in terrestrial materials (IUPAC Technical Report)","interactions":[],"lastModifiedDate":"2021-02-01T17:02:04.460805","indexId":"70217753","displayToPublicDate":"2020-10-01T10:56:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3207,"text":"Pure and Applied Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Variation of lead isotopic composition and atomic weight in terrestrial materials (IUPAC Technical Report)","docAbstract":"The isotopic composition and atomic weight of lead are variable in terrestrial materials because its three heaviest stable isotopes are stable end-products of the radioactive decay of uranium (238U to 206Pb; 235U to 207Pb) and thorium (232Th to 208Pb). The lightest stable isotope, 204Pb, is primordial. These variations in isotope ratios and atomic weights provide useful information in many areas of science, including geochronology, archaeology, environmental studies, and forensic science. While elemental lead can serve as an abundant and homogeneous isotopic reference, deviations from the isotope ratios in other lead occurrences limit the accuracy with which a standard atomic weight can be given for lead. In a comprehensive review of several hundred publications and analyses of more than 8000 samples, published isotope data indicate that the lowest reported lead atomic weight of a normal terrestrial materials is 206.1462 ± 0.0028 (k = 2), determined for a growth of the phosphate mineral monazite around a garnet relic from an Archean high-grade metamorphic terrain in north-western Scotland, which contains mostly 206Pb and almost no 204Pb. The highest published lead atomic weight is 207.9351 ± 0.0005 (k = 2) for monazite from a micro-inclusion in a garnet relic, also from a high-grade metamorphic terrain in north-western Scotland, which contains almost pure radiogenic 208Pb. When expressed as an interval, the lead atomic weight is [206.14, 207.94]. It is proposed that a value of 207.2 be adopted for the single lead atomic-weight value for education, commerce, and industry, corresponding to previously published conventional atomic-weight values.
","language":"English","publisher":"DeGruyter","doi":"10.1515/pac-2018-0916","usgsCitation":"Zhu, X., Benefield, J., Coplen, T.B., Gao, Z., and Holden, N.E., 2021, Variation of lead isotopic composition and atomic weight in terrestrial materials (IUPAC Technical Report): Pure and Applied Chemistry, v. 93, no. 1, p. 155-166, https://doi.org/10.1515/pac-2018-0916.","productDescription":"12 p.","startPage":"155","endPage":"166","ipdsId":"IP-114839","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":454412,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1615597","text":"Publisher Index Page"},{"id":382847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhu, Xiang-Kun 0000-0002-8407-6883","orcid":"https://orcid.org/0000-0002-8407-6883","contributorId":248595,"corporation":false,"usgs":false,"family":"Zhu","given":"Xiang-Kun","email":"","affiliations":[{"id":49957,"text":"Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, China","active":true,"usgs":false}],"preferred":false,"id":809479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benefield, Jacqueline 0000-0001-9124-2424 jbenefield@usgs.gov","orcid":"https://orcid.org/0000-0001-9124-2424","contributorId":190135,"corporation":false,"usgs":true,"family":"Benefield","given":"Jacqueline","email":"jbenefield@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":809480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":809481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gao, Zhaofu 0000-0001-7110-6126","orcid":"https://orcid.org/0000-0001-7110-6126","contributorId":248596,"corporation":false,"usgs":false,"family":"Gao","given":"Zhaofu","email":"","affiliations":[{"id":49957,"text":"Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, China","active":true,"usgs":false}],"preferred":false,"id":809482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holden, Norman E.","contributorId":189167,"corporation":false,"usgs":false,"family":"Holden","given":"Norman","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":809483,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215619,"text":"70215619 - 2021 - Changes in ecosystem nitrogen and carbon allocation with black mangrove (Avicennia germinans) encroachment into Spartina alterniflora salt marsh","interactions":[],"lastModifiedDate":"2021-08-17T16:15:17.646167","indexId":"70215619","displayToPublicDate":"2020-10-01T09:20:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Changes in ecosystem nitrogen and carbon allocation with black mangrove (Avicennia germinans) encroachment into Spartina alterniflora salt marsh","title":"Changes in ecosystem nitrogen and carbon allocation with black mangrove (Avicennia germinans) encroachment into Spartina alterniflora salt marsh","docAbstract":"Increases in temperature are expected to facilitate encroachment of tropical mangrove forests into temperate salt marshes, yet the effects on ecosystem services are understudied. Our work was conducted along a mangrove expansion front in Louisiana (USA), an area where coastal wetlands are in rapid decline due to compounding factors, including reduced sediment supply, rising sea level, and subsidence. Marsh and mangrove ecosystems are each known for their ability to adjust to sea-level rise and support numerous ecosystem services, but there are some differences in the societal benefits they provide. Here, we compare carbon and nitrogen stocks and relate these findings to the expected effects of mangrove encroachment on nitrogen filtration and carbon sequestration in coastal wetlands. We specifically evaluate the implications of black mangrove (Avicennia germinans) encroachment into Spartina alterniflora-dominated salt marsh. Our results indicate that black mangrove encroachment will lead to increased aboveground carbon and nitrogen stocks. However, we found no differences in belowground (that is, root and sediment) nitrogen or carbon stocks between marshes and mangroves. Thus, the shift from marsh to mangrove may provide decadal-scale increases in aboveground nitrogen and carbon sequestration, but belowground nitrogen and carbon sequestration (that is, carbon burial) may not be affected. We measured lower pore water nitrogen content beneath growing mangroves, which we postulate may be due to greater nitrogen uptake and storage in mangrove aboveground compartments compared to marshes. However, further studies are needed to better characterize the implications of mangrove encroachment on nitrogen cycling, storage, and export to the coastal ocean.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-020-00565-w","usgsCitation":"Macy, A., Osland, M., Cherry, J., and Cebrian, J., 2021, Changes in ecosystem nitrogen and carbon allocation with black mangrove (Avicennia germinans) encroachment into Spartina alterniflora salt marsh: Ecosystems, v. 24, p. 1007-1023, https://doi.org/10.1007/s10021-020-00565-w.","productDescription":"17 p.","startPage":"1007","endPage":"1023","ipdsId":"IP-114104","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":379755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Port Fourchon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.32958984375,\n 29.07177442521921\n ],\n [\n -90.12016296386719,\n 29.07177442521921\n ],\n [\n -90.12016296386719,\n 29.21990135016363\n ],\n [\n -90.32958984375,\n 29.21990135016363\n ],\n [\n -90.32958984375,\n 29.07177442521921\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Macy, Aaron","contributorId":218917,"corporation":false,"usgs":false,"family":"Macy","given":"Aaron","email":"","affiliations":[{"id":39936,"text":"Dauphin Island Sea Lab, Dauphin Island, AL USA","active":true,"usgs":false}],"preferred":false,"id":803006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":222661,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":803007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherry, Julia A","contributorId":150554,"corporation":false,"usgs":false,"family":"Cherry","given":"Julia A","affiliations":[{"id":33913,"text":"Univ. of Alabama, Tuscaloosa, AL","active":true,"usgs":false}],"preferred":false,"id":803008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cebrian, Just","contributorId":218914,"corporation":false,"usgs":false,"family":"Cebrian","given":"Just","email":"","affiliations":[{"id":39936,"text":"Dauphin Island Sea Lab, Dauphin Island, AL USA","active":true,"usgs":false}],"preferred":false,"id":803009,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220860,"text":"70220860 - 2021 - Evaluating the effects of downscaled climate projections on groundwater storage and simulated base-flow contribution to the North Fork Red River and Lake Altus, southwest Oklahoma (USA)","interactions":[],"lastModifiedDate":"2021-05-27T11:59:40.427832","indexId":"70220860","displayToPublicDate":"2020-10-01T07:25:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effects of downscaled climate projections on groundwater storage and simulated base-flow contribution to the North Fork Red River and Lake Altus, southwest Oklahoma (USA)","docAbstract":"Potential effects of projected climate variability on base flow and groundwater storage in the North Fork Red River aquifer, Oklahoma (USA), were estimated using downscaled climate model data coupled with a numerical groundwater-flow model. The North Fork Red River aquifer discharges groundwater to the North Fork Red River, which provides inflow to Lake Altus. To approximate future conditions, Coupled Model Intercomparison Project Phase 5 climate data were downscaled to the watershed and a time-series of scaling factors were developed and interpolated for three climate scenarios (central tendency, warmer and drier, and less warm and wetter) representing future climate conditions for the period 2045–2074. These scaling factors were then applied to a soil-water-balance model to produce groundwater recharge and evapotranspiration estimates. A MODFLOW groundwater-flow model of the North Fork Red River aquifer used the scaled recharge and evapotranspiration data to estimate changes in base flow and water-surface elevation of Lake Altus. Compared to a baseline scenario, the mean percent change in annual base flow during 2045–2074 was −10.8 and −15.9% for the central tendency and warmer/drier scenarios, respectively; the mean percent change in annual base flow for the less-warm/wetter scenario was +15.7%. The mean annual percent change in groundwater storage for the central tendency, warmer/drier, and less-warm/wetter climate scenarios and the baseline are −2.7, −3.2, and +3.0%, respectively. The range of outcomes from the climate scenarios may be influenced by variability in the downscaled climate data for precipitation more than for temperature.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-020-02230-x","usgsCitation":"Labriola, L., Ellis, J., Gangopadhyay, S., Pruitt, T., Kirstetter, P., and Hong, Y., 2021, Evaluating the effects of downscaled climate projections on groundwater storage and simulated base-flow contribution to the North Fork Red River and Lake Altus, southwest Oklahoma (USA): Hydrogeology Journal, v. 28, no. 8, p. 2903-2916, https://doi.org/10.1007/s10040-020-02230-x.","productDescription":"14 p.","startPage":"2903","endPage":"2916","ipdsId":"IP-111529","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":436658,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91DWW91","text":"USGS data release","linkHelpText":"MODFLOW-NWT model used in simulations of selected climate scenarios of groundwater availability in the North Fork Red River aquifer, southwestern Oklahoma"},{"id":385978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.00927734375,\n 33.706062655101206\n ],\n [\n -94.37255859375,\n 33.706062655101206\n ],\n [\n -94.37255859375,\n 35.47856499535729\n ],\n [\n -97.00927734375,\n 35.47856499535729\n ],\n [\n -97.00927734375,\n 33.706062655101206\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Labriola, L.G. 0000-0002-5096-2940","orcid":"https://orcid.org/0000-0002-5096-2940","contributorId":216625,"corporation":false,"usgs":true,"family":"Labriola","given":"L.G.","email":"","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, J.H. 0000-0001-7161-3136 jellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7161-3136","contributorId":196287,"corporation":false,"usgs":true,"family":"Ellis","given":"J.H.","email":"jellis@usgs.gov","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":816475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pruitt, Tom","contributorId":257612,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":816476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirstetter, Pierre","contributorId":258774,"corporation":false,"usgs":false,"family":"Kirstetter","given":"Pierre","affiliations":[{"id":52282,"text":"School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73072, USA","active":true,"usgs":false}],"preferred":false,"id":816477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hong, Yang","contributorId":258775,"corporation":false,"usgs":false,"family":"Hong","given":"Yang","affiliations":[{"id":52282,"text":"School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73072, USA","active":true,"usgs":false}],"preferred":false,"id":816478,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70217576,"text":"70217576 - 2021 - Direct and indirect effects of a keystone engineer on a shrubland-prairie food web","interactions":[],"lastModifiedDate":"2021-01-25T12:42:33.008","indexId":"70217576","displayToPublicDate":"2020-10-01T07:11:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Direct and indirect effects of a keystone engineer on a shrubland-prairie food web","docAbstract":"Keystone engineers are critical drivers of biodiversity throughout ecosystems worldwide. Within the North American Great Plains, the black‐tailed prairie dog is an imperiled ecosystem engineer and keystone species with well‐documented impacts on the flora and fauna of rangeland systems. However, because this species affects ecosystem structure and function in myriad ways (i.e., as a consumer, a prey resource, and a disturbance vector), it is unclear which effects are most impactful for any given prairie dog associate. We applied structural equation models (SEM) to disentangle direct and indirect effects of prairie dogs on multiple trophic levels (vegetation, arthropods, and birds) in the Thunder Basin National Grassland. Arthropods did not show any direct response to prairie dog occupation, but multiple bird species and vegetation parameters were directly affected. Surprisingly, the direct impact of prairie dogs on colony‐associated avifauna (Horned Lark [Eremophila alpestris] and Mountain Plover [Charadrius montanus]) had greater support than a mediated effect via vegetation structure, indicating that prairie dog disturbance may be greater than the sum of its parts in terms of impacts on localized vegetation structure. Overall, our models point to a combination of direct and indirect impacts of prairie dogs on associated vegetation, arthropods, and avifauna. The variation in these impacts highlights the importance of examining the various impacts of keystone engineers, as well as highlighting the diverse ways that black‐tailed prairie dogs are critical for the conservation of associated species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3195","usgsCitation":"Duchardt, C.J., Porensky, L.M., and Pearse, I.S., 2021, Direct and indirect effects of a keystone engineer on a shrubland-prairie food web: Ecology, v. 102, no. 1, e03195, 13 p., https://doi.org/10.1002/ecy.3195.","productDescription":"e03195, 13 p.","ipdsId":"IP-118463","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":436659,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GI27PX","text":"USGS data release","linkHelpText":"Data on prairie dogs, plants, arthropod biomass, and birds for Thunder Basin, Wyoming in 2017"},{"id":382485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Thunder Basin National Grassland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.787353515625,\n 43.07691312608711\n ],\n [\n -104.183349609375,\n 43.07691312608711\n ],\n [\n -104.183349609375,\n 44.166444664458595\n ],\n [\n -105.787353515625,\n 44.166444664458595\n ],\n [\n -105.787353515625,\n 43.07691312608711\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"102","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Duchardt, Courtney J. 0000-0003-4563-0199","orcid":"https://orcid.org/0000-0003-4563-0199","contributorId":239754,"corporation":false,"usgs":false,"family":"Duchardt","given":"Courtney","middleInitial":"J.","affiliations":[{"id":48000,"text":"U Wyoming","active":true,"usgs":false}],"preferred":false,"id":808721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Porensky, Lauren M. 0000-0001-6883-2442","orcid":"https://orcid.org/0000-0001-6883-2442","contributorId":239755,"corporation":false,"usgs":false,"family":"Porensky","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":808722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":808723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222937,"text":"70222937 - 2021 - Select techniques for detecting and quantifying seepage from unlined canals","interactions":[],"lastModifiedDate":"2021-08-10T15:51:00.827832","indexId":"70222937","displayToPublicDate":"2020-09-30T10:39:31","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ST-2020-19144-01","title":"Select techniques for detecting and quantifying seepage from unlined canals","docAbstract":"Canal seepage losses affect the ability of water conveyance structures to maximize efficiency and can be a precursor to canal failure. Identification and quantification of canal seepage out of unlined canals is a complex interaction affected by geology, canal stage, operations, embankment geometry, siltation, animal burrows, structures, and other physical characteristics. Seepage out of unlined canals can be coarsely estimated using a mass balance-type approach (water in minus water out with the difference assumed to be a combination of seepage and evapotranspiration). More sophisticated methods are used in some instances but are typically limited efforts aimed at quantifying seepage in a specific location.
Seepage is generally broken out into two categories: diffuse and concentrated (or focused) seepage. Diffuse seepage is where the seepage discharges relatively constant over a given area, whereas concentrated (point discharge source) seepage discharges along preferentially focused areas. Diffuse seepage typically occurs in homogeneous conditions where the amount of water flowing into the subsurface is controlled by soil permeability and canal stage. Conversely, concentrated seepage occurs in areas of heterogeneous conditions where water flows into bedrock fractures, rodent burrows or other pre-existing discrete flow-paths. Concentrated seepage can also develop in the advent of sudden or excessive increases in hydraulic gradient which can lead to heaving, cracking, and development of backward erosion piping flow-paths. Concentrated and diffuse seepage can lead to seeps, in this case, a surface expression of water fed by irrigation water on canal embankment or at distal regions away from the canal.
This report focuses on work funded by the Research and Development Office from Fiscal Year 2016 through 2021 and the references provided pertain primarily to those efforts. This report also provides a generalized framework for how and when to investigate seepage out of an unlined canal based on the type of seepage, level of understanding about the seepage locations, geology, and knowledge of the subsurface conditions. The various methods used to locate seeps and quantify canal seepage are discussed in further detail, with references provided for the reader.
The following seepage investigation scenarios are discussed within the report:
1. Idealized workflow insensitive to time with highest quality data required
2. General workflow sensitive to time with highest quality data required
3. General workflow insensitive to time with lowest cost items preceding more costly techniques
4. Newly developed concentrated seep(s), concern about consequences (time sensitive)
5. Newly developed or rapidly increasing diffuse seepage, concern about consequences (time sensitive)
6. Existing concentrated seep(s), limited concern about consequences, poor geologic understanding
7. Existing concentrated seep(s), limited concern about consequences, good geologic understanding
8. Existing diffuse seepage, limited concern about consequences, poor geologic understanding
9. Existing diffuse seepage, limited concern about consequences, good geologic understanding
A workflow is given for each scenario which details recommended steps and the order in which those steps should be taken to maximize efficiency and data quality. The various seepage investigation techniques and estimated costs are discussed in more detail later in this report.
The next step is to take the data collected from the various methods and incorporate them into canal operations models to optimize deliveries. This step could also include the development of 3D seepage models to better understand the larger-scale groundwater-surface water interactions and how they are affected by the water delivery system.
","language":"English","publisher":"U.S. Bureau of Reclamation","usgsCitation":"Lindenbach, E.J., Kang, J.B., Rittgers, J.B., and Naranjo, R.C., 2021, Select techniques for detecting and quantifying seepage from unlined canals: Final Report ST-2020-19144-01, viii, 75 p.","productDescription":"viii, 75 p.","ipdsId":"IP-122681","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":387819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387793,"type":{"id":15,"text":"Index Page"},"url":"https://www.usbr.gov/research/projects/download_product.cfm?id=2955"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lindenbach, Evan J.","contributorId":263642,"corporation":false,"usgs":false,"family":"Lindenbach","given":"Evan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":820920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kang, Jong Beom","contributorId":263643,"corporation":false,"usgs":false,"family":"Kang","given":"Jong","email":"","middleInitial":"Beom","affiliations":[],"preferred":false,"id":820921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rittgers, Justin B.","contributorId":263644,"corporation":false,"usgs":false,"family":"Rittgers","given":"Justin","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":820922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820873,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}