Climate change has fundamentally altered the water cycle in tropical islands, which is a critical driver of freshwater ecosystems. To examine how changes in streamflow regime have impacted habitat quality for native migratory aquatic species, we present a 50‐year (1967–2016) analysis of hydrologic records in 23 unregulated streams across the five largest Hawaiian Islands. For each stream, flow was separated into direct run‐off and baseflow and high‐ and low‐flow statistics (i.e., Q10 and Q90) with ecologically important hydrologic indices (e.g., frequency of flooding and low flow duration) derived. Using Mann–Kendall tests with a running trend analysis, we determined the persistence of streamflow trends through time. We analysed native stream fauna from ~400 sites, sampled from 1992 to 2007, to assess species richness among islands and streams. Declines in streamflow metrics indicated a general drying across the islands. In particular, significant declines in low flow conditions (baseflows), were experienced in 57% of streams, compared with a significant decline in storm flow conditions for 22% of streams. The running trend analysis indicated that many of the significant downward trends were not persistent through time but were only significant if recent decades (1987–2016) were included, with an average decline in baseflow and run‐off of 10.90% and 8.28% per decade, respectively. Streams that supported higher native species diversity were associated with moderate discharge and baseflow index, short duration of low flows, and negligible downward trends in flow. A significant decline in dry season flows (May–October) has led to an increase in the number of no‐flow days in drier areas, indicating that more streams may become intermittent, which has important implications for mauka to makai (mountain to ocean) hydrological connectivity and management of Hawai'i's native migratory freshwater fauna.
Recent oil discoveries in an Aptian–Cenomanian clinothem in Arctic Alaska demonstrate the potential for hundred-million- to billion-barrel oil accumulations in Nanushuk Formation topsets and Torok Formation foresets–bottomsets. Oil-prone source rocks and the clinothem are draped across the Barrow arch, a structural hinge between the Colville foreland basin and Beaufort Sea rifted margin. Stratigraphic traps lie in a favorable thermal maturity domain along multiple migration pathways across more than 30,000 km2(10,000 mi2). Sediment from the Chukotkan orogen (Russia) filled the western Colville basin and spilled over the Beaufort rift shoulder, forming east- and north-facing shelf margins. Progradational shelf-margin trajectories change abruptly to “sawtooth” trajectories at mid-clinothem, the result of reduction in sediment influx. Two stratigraphic trap types are inferred in Nanushuk basal topsets in the eastern part of the clinothem: (1) lowstand systems tracts, inferred to reflect forced regression, include a narrow, thick progradational stacking pattern perched on a sequence boundary on the upper slope; and (2) highstand-progradational systems tracts include a broad, thin wedge of shingled parasequences above a toplap surface. Both include stratigraphically isolated sandstone sealed by mudstone. Trap geometries in Torok foreset and bottomset facies in the same area include basin-floor fan, slope-apron, and slope-channel deposits that pinch out upslope and are sealed by mudstone. Significant potential exists for the discovery of additional oil accumulations in these stratigraphic trap types in the eastern part of the clinothem. Less potential may exist in the western part because reservoir-seal pairs may not be well developed.
","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/08151817281","usgsCitation":"Houseknecht, D.W., 2019, Petroleum systems framework of significant new oil discoveries in a giant Cretaceous (Aptian–Cenomanian) clinothem in Arctic Alaska: American Association of Petroleum Geologists Bulletin, v. 103, no. 3, p. 619-652, https://doi.org/10.1306/08151817281.","productDescription":"34 p.","startPage":"619","endPage":"652","ipdsId":"IP-088601","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360835,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/bulletns/aop/2018-09-06/aapgbltn17281aop.html"}],"volume":"103","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746437,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227927,"text":"70227927 - 2019 - An analysis of autocorrelation and bias in home range estimation","interactions":[],"lastModifiedDate":"2022-02-03T12:25:05.493932","indexId":"70227927","displayToPublicDate":"2018-12-01T15:33:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of autocorrelation and bias in home range estimation","docAbstract":"Home range estimation is routine practice in ecological research. While advances in animal tracking technology have increased our capacity to collect data to support home range analysis, these same advances have also resulted in increasingly autocorrelated data. Consequently, the question of which home range estimator to use on modern, highly autocorrelated tracking data remains open. This question is particularly relevant given that most estimators assume independently sampled data. Here, we provide a comprehensive evaluation of the effects of autocorrelation on home range estimation. We base our study on an extensive data set of GPS locations from 369 individuals representing 27 species distributed across five continents. We first assemble a broad array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, autocorrelated-Gaussian reference function AKDE, Silvermans rule of thumb, and least squares cross-validation), Minimum Convex Polygon, and Local Convex Hull methods. Notably, all of these estimators except AKDE assume independent and identically distributed (IID) data. We then employ half-sample cross-validation to objectively quantify estimator performance, and the recently introduced effective sample size for home range area estimation ( N̂ area ) to quantify the information content of each data set. We found that AKDE 95% area estimates were larger than conventional IID-based estimates by a mean factor of 2. The median number of cross-validated locations included in the hold-out sets by AKDE 95% (or 50%) estimates was 95.3% (or 50.1%), confirming the larger AKDE ranges were appropriately selective at the specified quantile. Conversely, conventional estimates exhibited negative bias that increased with decreasing N̂ area . To contextualize our empirical results, we performed a detailed simulation study to tease apart how sampling frequency, sampling duration, and the focal animals movement conspire to affect range estimates. Paralleling our empirical results, the simulation study demonstrated that AKDE was generally more accurate than conventional methods, particularly for small N̂ area . While 72% of the 369 empirical data sets had >1,000 total observations, only 4% had an N̂ area >1,000, where 30% had an N̂ area <30. In this frequently encountered scenario of small N̂ area , AKDE was the only estimator capable of producing an accurate home range estimate on autocorrelated data.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1344","usgsCitation":"Noonan, M.T., Tucker, M.A., Fleming, C.H., Akre, T., Alberts, S.C., Ali, A.H., Altmann, J., Antunes, P.C., Belant, J.L., Beyer, D., Blaum, N., Bohning-Gaese, K., Cullen, L., Cunha de Paula, R., Dekker, J., Drescher-Lehman, J., Farwig, N., Fichtel, C., Fischer, C., Ford, A.T., Goheen, J.R., Janssen, R., Jeltsch, F., Kauffman, M., Kappeler, P.M., Koch, F., LaPoint, S., Markham, A.C., Medici, E.P., Morato, R.G., Nathan, R., Oliveira-Santos, L.G., Olson, K.A., Patterson, B.D., Paviolo, A., Esterci Ramalho, E., Rosner, S., Schabo, D.G., Selva, N., Sergiel, A., Xavier da Silva, M., Spiegel, O., Thompson, P.C., Ullmann, W., Zieba, F., Zwijacz-Kozica, T., Fagan, W.F., Mueller, T., and Calabrese, J., 2019, An analysis of autocorrelation and bias in home range estimation: Ecological Monographs, v. 89, no. 2, e01344, 21 p., https://doi.org/10.1002/ecm.1344.","productDescription":"e01344, 21 p.","ipdsId":"IP-094900","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468041,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecm.1344","text":"External Repository"},{"id":395326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Noonan, Michael T.","contributorId":274079,"corporation":false,"usgs":false,"family":"Noonan","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":832798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Marlee 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2019 - Functional and geographic components of risk for climate sensitive vertebrates in the Pacific Northwest, USA","interactions":[],"lastModifiedDate":"2019-08-09T11:03:00","indexId":"70204659","displayToPublicDate":"2018-12-01T14:35:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Functional and geographic components of risk for climate sensitive vertebrates in the Pacific Northwest, USA","docAbstract":"Rarity and life history traits inform multiple dimensions of intrinsic risk to climate and environmental change and can help systematically identify at-risk species. We quantified relative geographic rarity (area of occupancy), climate niche breadth, and life history traits for 114 freshwater fishes, amphibians, and reptiles in the U.S. Pacific Northwest. Our approach leveraged presence-only, publicly available data and traits-based inference to evaluate area of occupancy, climate sensitivity (i.e., climate niche breadth), and a Rarity and Climate Sensitivity\n(RCS) index of all species across multiple geographic extents, grain sizes, and data types. The RCS index was relatively stable across extents, grains, and data types, with climate sensitivity differentiating species with otherwise similar areas of occupancy. We also found that species with sensitivity-associated traits (e.g., long generation time, low fecundity) were not necessarily the same species identified as at-risk with geographical approaches (small range size, small climate niche breadth). Many multispecies assessments using coarse-scale data (e.g., entire range maps or convex-hull approaches) often focus on a single dimension of intrinsic risk;\nothers rely on data-intensive models only applicable to a few well-studied species. What remains is a need for an approach that enables multispecies, multidimensional assessment efforts. This is particularly true at regional scales, where management needs require assessments that are intermediate to coarse- and fine-scale approaches. We demonstrate that by considering multiple dimensions of intrinsic risk to climate change (range size, climate sensitivity, and traits), site-specific locality data may offer a pathway for ensuring vulnerable, understudied species do not go overlooked in conservation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.10.012","usgsCitation":"Meryl Mims, Deanna H. Olson, Pilliod, D.S., and Dunham, J.B., 2019, Functional and geographic components of risk for climate sensitive vertebrates in the Pacific Northwest, USA: Biological Conservation, v. 228, p. 183-194, https://doi.org/10.1016/j.biocon.2018.10.012.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-102394","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.10.012","text":"Publisher Index Page"},{"id":366420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127.265625,\n 40.212440718286466\n ],\n [\n -115.26855468749999,\n 40.212440718286466\n ],\n [\n -115.26855468749999,\n 49.95121990866204\n ],\n [\n -127.265625,\n 49.95121990866204\n ],\n [\n -127.265625,\n 40.212440718286466\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"228","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meryl Mims","contributorId":217970,"corporation":false,"usgs":false,"family":"Meryl Mims","affiliations":[],"preferred":false,"id":767946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deanna H. Olson","contributorId":217971,"corporation":false,"usgs":false,"family":"Deanna H. Olson","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":767947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":767949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202766,"text":"70202766 - 2019 - Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit","interactions":[],"lastModifiedDate":"2019-04-01T15:52:28","indexId":"70202766","displayToPublicDate":"2018-12-01T11:18:24","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit","docAbstract":"No abstract available.
","largerWorkTitle":"Technical Report","language":"English","publisher":"Wisconsin Geological and Natural History Survey","usgsCitation":"Bradbury, K., Mauel, S., Peter R. Schoephoester, Anna Fehling, Leaf, A.T., Juckem, P., Hunt, R., and Pruitt, A., 2019, Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit, v. 2018, no. 004-1, 10 Plates: 11 x 17 in.","productDescription":"10 Plates: 11 x 17 in.","numberOfPages":"10","ipdsId":"IP-081725","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362302,"type":{"id":15,"text":"Index Page"},"url":"https://wgnhs.uwex.edu/pubs/000961/"}],"country":"United States","state":"Wisconsin","county":"Taylor County","otherGeospatial":"Chequamegon-Nicolet National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.5,\n 45\n ],\n [\n -88.505859375,\n 45\n ],\n [\n -88.505859375,\n 46.81133924039194\n ],\n [\n -91.5,\n 46.81133924039194\n ],\n [\n -91.5,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2018","issue":"004-1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bradbury, Ken","contributorId":190742,"corporation":false,"usgs":false,"family":"Bradbury","given":"Ken","email":"","affiliations":[],"preferred":false,"id":759885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mauel, Stephen","contributorId":214441,"corporation":false,"usgs":false,"family":"Mauel","given":"Stephen","email":"","affiliations":[{"id":27733,"text":"WGNHS","active":true,"usgs":false}],"preferred":false,"id":759886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peter R. Schoephoester","contributorId":214440,"corporation":false,"usgs":false,"family":"Peter R. Schoephoester","affiliations":[{"id":27733,"text":"WGNHS","active":true,"usgs":false}],"preferred":false,"id":759887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anna Fehling","contributorId":214439,"corporation":false,"usgs":false,"family":"Anna Fehling","affiliations":[{"id":27733,"text":"WGNHS","active":true,"usgs":false}],"preferred":false,"id":759888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Juckem, Paul 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":214445,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":214444,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759881,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pruitt, Aaron","contributorId":214446,"corporation":false,"usgs":false,"family":"Pruitt","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":759884,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227925,"text":"70227925 - 2019 - Genetic swamping and species collapse: Tracking introgression between the native Candy Darter and introduced Variegate Darter","interactions":[],"lastModifiedDate":"2022-02-03T11:55:44.231498","indexId":"70227925","displayToPublicDate":"2018-12-01T10:48:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic swamping and species collapse: Tracking introgression between the native Candy Darter and introduced Variegate Darter","docAbstract":"Candy Darters (Etheostoma osburni) and Variegate Darters (E. variatum) are both native to West Virginia and Virginia. The geographic ranges of these two species were historically separated by Kanawha Falls, a natural barrier to fish dispersal located at Glen Ferris, WV. In the early 1980s, Variegate Darters or putative hybrids (E. osburni × E. variatum) were first collected at locations upstream of Kanawha Falls, and have since undergone range expansion. Hybridization with the Variegate Darter was one of the threats that led to the Candy Darter being proposed for listing under the U.S. Endangered Species Act in 2017. Genetic and morphologic data were examined for individuals from the New, Gauley, and Greenbrier river drainages. Individuals were genotyped using a suite of 5 diagnostic microsatellite loci to investigate potential hybridization. Widespread hybridization was found throughout populations of Candy Darters, with the geographic range of hybridization expanding from 2004 to 2014. A hybrid zone was observed, with the highest levels of Variegate Darter introgression representing the kernel within this zone and the locations of first-generation (F1) hybrids at the periphery. F1 hybrids were morphologically intermediate within and across characters for parental species. Introgressive hybridization threatens the genetic integrity of the Candy Darter, and may lead to population extirpation or extinction.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-018-1131-2","usgsCitation":"Gibson, I., Welsh, A., Welsh, S.A., and Cincotta, D., 2019, Genetic swamping and species collapse: Tracking introgression between the native Candy Darter and introduced Variegate Darter: Conservation Genetics, v. 20, p. 287-298, https://doi.org/10.1007/s10592-018-1131-2.","productDescription":"12 p.","startPage":"287","endPage":"298","ipdsId":"IP-094794","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":395289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.6728515625,\n 38.71980474264237\n ],\n [\n -79.82666015625,\n 38.736946065676\n ],\n [\n -80.17822265625,\n 38.53097889440024\n ],\n [\n -80.61767578124999,\n 38.272688535980976\n ],\n [\n -81.2548828125,\n 38.324420427006544\n ],\n [\n -81.40869140625,\n 37.97884504049713\n ],\n [\n -81.38671875,\n 37.64903402157866\n ],\n [\n -81.84814453125,\n 37.24782120155428\n ],\n [\n -81.32080078125,\n 37.3002752813443\n ],\n [\n -80.5078125,\n 37.35269280367274\n ],\n [\n -80.15625,\n 37.75334401310656\n ],\n [\n -79.82666015625,\n 38.44498466889473\n ],\n [\n -79.6728515625,\n 38.71980474264237\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","noUsgsAuthors":false,"publicationDate":"2018-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Gibson, Isaac","contributorId":273116,"corporation":false,"usgs":false,"family":"Gibson","given":"Isaac","email":"","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":832589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Amy B.","contributorId":273117,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy B.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":832590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cincotta, Daniel A.","contributorId":273118,"corporation":false,"usgs":false,"family":"Cincotta","given":"Daniel A.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":832591,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204731,"text":"70204731 - 2019 - Controls on organic matter distributions in Eocene Lake Uinta, Utah and Colorado","interactions":[],"lastModifiedDate":"2019-08-13T07:49:12","indexId":"70204731","displayToPublicDate":"2018-12-01T07:46:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Controls on organic matter distributions in Eocene Lake Uinta, Utah and Colorado","docAbstract":"The Green River Formation deposited in Eocene Lake Uinta in the Uinta and Piceance Basins, Utah and Colorado, contains the largest oil shale resource in the world with an estimated 1.53 trillion barrels of oil in-place in the Piceance Basin and 1.32 trillion barrels in the Uinta Basin. The Douglas Creek arch, a slowly subsiding hinge-line between the two basins, created separate deep depocenters with shallow water conditions near the crest of the arch. Lake Uinta was a saline lake throughout its history with a lower saline to hypersaline layer (monimolimnion) and an upper less saline layer (mixolimnion). Most of the organic matter in the Green River Formation was derived primarily from algae that lived in the photic zone of the lake and is very hydrogen-rich and oil-prone. \nIn many modern large and deep lakes, rates of organic matter production are highly variable due to differences in nutrient supply. However, cyclonic circulation often leads to winnowing out organic and mineral matter in the mixolimnion leading to organic and fine-grained mineral matter being deposited in increasing amounts toward hydro-dynamically dead zones in the center of the circulation producing concentric bands of increasing organic matter content. Organic matter transport through the dense, hypersaline monimolimnion may have been facilitated by low density organic matter attaching to more dense clay mineral particles. Most of the oil shale intervals deposited in Lake Uinta display similar patterns in their organic matter distributions, increasing in very regular fashion toward the central areas of the lake’s two depocenters. This concentric feature is particularly prominent in the most laminated oil shale zones. Here, we propose that cyclonic circulation was present in Lake Uinta. Each basin appears to have had its own circulation currents, separated by shallow water conditions near the Douglas Creek arch, as well as one hydro-dynamically dead zone. \nSediment gravity flow processes were also very active in some strata of Lake Uinta, leading to the reworking and redepositing of sediments. Two general types of sediment gravity flows are recognized: (1) organic-rich sediment gravity flows that reworked and may have concentrated organic-rich material closer to the two deep depocenters, and (2) sandstone and siltstone-rich organic-poor mass movement deposits that originated on marginal shelves. Mass movements could have been triggered by various natural processes and/or possibly by the movement of dense brines that evolved on marginal shelves and moved along the bottom of the water column toward the deep part of the lake. The uppermost, poorly consolidated sediment layer was incorporated in sediment gravity flows as they moved, and in many cases sediment gravity flows scoured down significantly into the more consolidated underlying sediment producing large rip-up clasts of laminated sediments. Truncation of more than 100 ft occurs at the base of a sequence of sediment gravity flows in one well, indicating a significant incised channel. Coarser-grained sediment gravity flows terminated before reaching the lake’s deepest areas, forming thick concentric buildups of organically-lean sediment near the base of the marginal slopes. Intervals dominated by organic-rich fine-grained sediment gravity flows have tightly concentric bands of increasing organic matter toward the deepest parts of the lake and can be organically richer than the richest laminated intervals. There is some evidence that the hydro-dynamically quiet zones did not always correspond closely to the deepest areas of the lake, extending in some cases into shallower areas.","language":"English","publisher":"Rocky Mountain Association of Geologists","doi":"10.31582/rmag.mg.55.4.177","usgsCitation":"Johnson, R.C., Mercier, T.J., and Birdwell, J.E., 2019, Controls on organic matter distributions in Eocene Lake Uinta, Utah and Colorado: Mountain Geologist, v. 55, no. 1, p. 177-216, https://doi.org/10.31582/rmag.mg.55.4.177.","productDescription":"40 p.","startPage":"177","endPage":"216","ipdsId":"IP-100509","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science 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approaches","interactions":[],"lastModifiedDate":"2019-05-02T08:37:35","indexId":"70203268","displayToPublicDate":"2018-12-01T07:15:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches","docAbstract":"","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.290","usgsCitation":"Hill, A.F., Stallard, R., and Rittger, K., 2019, Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches: Elementa: Science of the Anthropocene, v. 6, no. 1, 22 p., https://doi.org/10.1525/elementa.290.","productDescription":"22 p.","ipdsId":"IP-091037","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.290","text":"Publisher Index Page"},{"id":363471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","otherGeospatial":"Marañón River","volume":"6","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Alice F.","contributorId":215273,"corporation":false,"usgs":false,"family":"Hill","given":"Alice","email":"","middleInitial":"F.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert 0000-0001-8209-7608","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":215272,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":761966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rittger, Karl","contributorId":215274,"corporation":false,"usgs":false,"family":"Rittger","given":"Karl","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761968,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201139,"text":"70201139 - 2019 - Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA","interactions":[],"lastModifiedDate":"2018-11-30T14:59:36","indexId":"70201139","displayToPublicDate":"2018-11-30T14:59:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA","docAbstract":"Identifying floodplains with high rates of denitrification will help prioritize restoration projects for the removal of nitrogen. Currently, relationships of denitrification with hydrogeomorphic, physiographic, and climate (i.e., largescale) characteristics of floodplains are relatively unknown, even though these characteristics have datasets (e.g., geographic mapping tools) that are publicly available (or soon-to-become) that could be used to understand denitrification variability. Thus, we investigated control of denitrification by these largescale characteristics in eighteen nontidal floodplains of the Chesapeake Bay watershed (i.e., at regional scale, >100 km, scale), using measurements or compiled data at the scales of the stream reach and respective catchment; floodplain soil and herbaceous vegetation (i.e., local) characteristics were additionally investigated. Soil denitrification potentials were measured in May, July, and August using complementary acetylene-based techniques under an anoxic environment. Linear largescale predictors of denitrification potential measurements included stream nitrogen and phosphorus concentrations (+), channel width-to-depth ratio (+), floodplain sedimentation (+), forested (−) and urban (+) catchment land cover, and seasonal air temperature (−). Three predictors, catchment forested land cover (strongly related to agricultural land cover), catchment urban land cover, and floodplain sedimentation were related to the most number of denitrification potential measurements. Soil structure, soil nutrient concentrations, and herbaceous vegetation characteristics that were seasonally measured (with a few exceptions) were linear predictors of denitrification potentials in May and August, with nitrogen and carbon characteristics the most consistent (positive) predictors across measurements. Nutrient amendment assays further supported the importance of nitrogen and carbon controls. Using the local characteristics as statistical mediators in path analysis, greater non-forested catchment land cover indirectly increased denitrification through greater floodplain soil nitrate, total phosphorus, and herbaceous aboveground biomass. Additionally, greater floodplain sedimentation indirectly increased denitrification through greater soil pH, total phosphorus, and potential carbon mineralization. Due to the consistency of relationships across denitrification potential measurements along with path modeling results, hotspots of floodplain denitrification should be found in urban and agricultural catchments where river-floodplain hydrologic connectivity promotes sedimentation. Largescale predictors explained 43–57% of the variation in denitrification potentials and should be useful for prediction in floodplains. Siting restoration projects in watersheds for maximum nitrate removal using publicly available largescale datasets is both feasible and effective.
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gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":752885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahn, Changwoo","contributorId":191303,"corporation":false,"usgs":false,"family":"Ahn","given":"Changwoo","email":"","affiliations":[],"preferred":false,"id":752887,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215869,"text":"70215869 - 2019 - Comparison of attraction, entrance and passage of downstream migrant American eels (Anguilla rostrata) through airlift and siphon deep entrance bypass systems","interactions":[],"lastModifiedDate":"2020-10-30T18:58:26.413574","indexId":"70215869","displayToPublicDate":"2018-11-30T13:08:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of attraction, entrance and passage of downstream migrant American eels (Anguilla rostrata) through airlift and siphon deep entrance bypass systems","title":"Comparison of attraction, entrance and passage of downstream migrant American eels (Anguilla rostrata) through airlift and siphon deep entrance bypass systems","docAbstract":"Downstream migrating anguillid eels face many barriers including turbines and pumps at impoundments for water abstraction, power generation and water level control, when attempting to exit the freshwater catchment to reach spawning grounds. Multiple eel species worldwide are facing different levels of endangerment and alleviating the impacts of barriers to migration is essential to allow completion of the life cycle. Deep bypass systems with entrances located near the riverbed hold some promise for increased effectiveness compared to traditional downstream guidance and bypass facilities with entrances near the surface, as eels typically occupy the bottom of the water column. Here we evaluate two deep entrance bypass designs; an airlift (the Conte Airlift) and a conventional gravity siphon of the same entrance dimensions. Tests were performed using migratory silver-phase American eels (Anguilla rostrata), at night, in a simulated forebay environment. Passage performance was monitored over a 3 h test period using both PIT (passive integrated transponder) tag and video recording equipment. Entrance velocity was fixed at 1.2 m s−1 in each of 8 test runs with cohort size fixed in six runs at 14 and in two runs at 42. Test eels readily located, entered and passed both bypass designs. Differences in performance metrics between the airlift and siphon were not statistically significant (P > 0.05) with linked mean values of 74.5%, 90.5% and 100%, respectively. Eel length did not affect passage speed (P > 0.05) or slip ratio, i.e., the measured eel velocity relative to fluid velocity. The slip ratio was, however, greater in the siphon than in the airlift (P < 0.01) within identical vertical upflow sections of the test equipment. Siphon slip ratios in the upflow vertical section were comparable to those established for the horizontal and downflow sections. Fish density did not affect attraction and passage through the airlift or siphon. No mortality or signs of injury were observed on any of the test eels through a 48 h post-test observation period. Both airlift and siphon downstream bypass systems show promise as effective technologies for protection of downstream migrating eels at a variety of water diversion or hydroelectric sites that pose threats of impingement, entrainment, and turbine mortality.
The eastern oyster (Crassostrea virginica) and the reefs they create provide significant ecosystem services. This study measured their possible role in nutrient mitigation through bioassimilation, burial, and oyster-mediated sediment denitrification in near-shore shallow water (< 1 m water depth) and deep-water (> 1 m water depth) oyster reefs in Louisiana. Nitrogen (N) and carbon (C) in shell and tissue differed by oyster reproductive status, size, and habitat type. Changes in tissue percent N and C post-spawning combined with significant reductions in tissue dry weight from the release of gametes, resulted in 20 and 46% reductions in tissue N and C load (mg), respectively, for a 100-mm oyster. Oyster reefs did not enhance burial rates, with burial range rates estimated at 1.4–2.6 g N m−2 year−1, and 26.9–43.8 g C m−2 year−1. Closed-system ex situ incubations indicated net denitrification in all habitat types studied, with the highest rates exceeding 600 µmol N m−2 h−1 during the summer, but no enhancement attributable to oyster reefs specifically. Within the highly productive, organic-rich wetland complex systems of coastal Louisiana, oyster reefs were not associated with enhanced denitrification, likely due to the organic-rich setting, and redundant supplies of organic nitrogen and carbon from adjacent marshes. Context remains critical in determining ecosystem provision of habitats, and efforts to extrapolate and predict nitrogen removal across locations necessitates consideration of local conditions. Considering the large extent of reefs and oyster production across coastal Louisiana, oyster habitats may still contribute to N and C mitigation, but their unique contribution likely comes from bioassimilation, and removal of the oysters from the system.
","language":"English","publisher":"Springer Link","doi":"10.1007/s00227-018-3449-1","usgsCitation":"Westbrook, P., Heffner, L., and La Peyre, M., 2019, Measuring carbon and nitrogen bioassimilation, burial, and denitrification contributions of oyster reefs in Gulf coast estuaries: Marine Biology, v. 166, 4, 14 p., https://doi.org/10.1007/s00227-018-3449-1.","productDescription":"4, 14 p.","ipdsId":"IP-091640","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.131591796875,\n 28.849485201023\n ],\n [\n -89.296875,\n 28.849485201023\n ],\n [\n -89.296875,\n 30.130875412002318\n ],\n [\n -91.131591796875,\n 30.130875412002318\n ],\n [\n -91.131591796875,\n 28.849485201023\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"166","noUsgsAuthors":false,"publicationDate":"2018-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Westbrook, P.","contributorId":272525,"corporation":false,"usgs":false,"family":"Westbrook","given":"P.","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":832045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heffner, L.","contributorId":272526,"corporation":false,"usgs":false,"family":"Heffner","given":"L.","email":"","affiliations":[{"id":38006,"text":"Western Alaska Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":832046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832047,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204011,"text":"70204011 - 2019 - Radium accumulation in carbonate river sediments at oil and gas produced water discharges: Implications for beneficial use as disposal management","interactions":[],"lastModifiedDate":"2019-06-27T08:40:40","indexId":"70204011","displayToPublicDate":"2018-11-30T08:39:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5830,"text":"Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Radium accumulation in carbonate river sediments at oil and gas produced water discharges: Implications for beneficial use as disposal management","docAbstract":"In the western U.S., produced water from oil and gas wells discharged to surface water augments downstream supplies used for irrigation and livestock watering. Here we investigate six permitted discharges on three neighboring tributary systems in Wyoming. During 2013-16, we evaluated radium activities of the permitted discharges and the potential for radium accumulation in associated stream sediments. Radium activities of the sediments at the points of discharge ranged from approximately 200-3600 Bq/kg with elevated activities above the background of 74 Bq/kg over 30 km downstream of one permitted discharge. Sediment as deep as 30 cm near the point of discharge had radium activities elevated above background. X-ray diffraction and targeted sequential extraction of radium in sediments indicate that radium is likely coprecipitated with carbonate, and to a lesser extent sulfate minerals. PHREEQC modeling predicts radium coprecipitation with aragonite and barite, but over-estimates the latter compared to observations of downstream sediment, where carbonate predominates. Mass-balance calculations indicate over 3 billion Bq of radium activity (226Ra+228Ra) is discharged each year from five of the discharges, combined, with only 5 percent of the annual load retained in stream sediments within 100m of the effluent discharges; the remaining 95 percent of the radium is transported farther downstream as sediment-associated and aqueous species","language":"English","publisher":"The Royal Society of Chemistry","doi":"10.1039/C8EM00336J","usgsCitation":"McDevitt, B., McLaughlin, M., Cravotta, C.A., Ajemigbitse, M.A., Van Sice, K.J., Blotevogel, J., Borch, T., and Warner, N.R., 2019, Radium accumulation in carbonate river sediments at oil and gas produced water discharges: Implications for beneficial use as disposal management: Environmental Science, v. 21, no. 2, p. 324-338, https://doi.org/10.1039/C8EM00336J.","productDescription":"15 p.","startPage":"324","endPage":"338","ipdsId":"IP-102035","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":365100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365097,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.rsc.org/en/content/articlehtml/2019/em/c8em00336j"}],"volume":"21","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McDevitt, Bonnie","contributorId":211455,"corporation":false,"usgs":false,"family":"McDevitt","given":"Bonnie","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":765179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, Molly","contributorId":216622,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Molly","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":216591,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III","email":"","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajemigbitse, Moses A","contributorId":216601,"corporation":false,"usgs":false,"family":"Ajemigbitse","given":"Moses","email":"","middleInitial":"A","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":765181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Sice, Katherine J.","contributorId":216623,"corporation":false,"usgs":false,"family":"Van Sice","given":"Katherine","email":"","middleInitial":"J.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":765182,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blotevogel, Jens","contributorId":216624,"corporation":false,"usgs":false,"family":"Blotevogel","given":"Jens","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765183,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borch, Thomas","contributorId":195631,"corporation":false,"usgs":false,"family":"Borch","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":765184,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warner, Nathaniel R.","contributorId":211458,"corporation":false,"usgs":false,"family":"Warner","given":"Nathaniel","email":"","middleInitial":"R.","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":765185,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70206001,"text":"70206001 - 2019 - Chesapeake Bay impact structure—Development of \"brim\" sedimentation in a multilayered marine target","interactions":[],"lastModifiedDate":"2019-10-18T06:35:29","indexId":"70206001","displayToPublicDate":"2018-11-29T07:36:51","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chesapeake Bay impact structure—Development of \"brim\" sedimentation in a multilayered marine target","docAbstract":"The late Eocene Chesapeake Bay impact structure was formed in a multilayered target of seawater underlain sequentially by a sediment layer and a rock layer in a continental-shelf environment. Impact effects in the “brim” (annular trough) surrounding and adjacent to the transient crater, between the transient crater rim and the outer margin, primarily were limited to the target-sediment layer. Analysis of published and new lithostratigraphic, biostratigraphic, sedimentologic, petrologic, and mineralogic studies of three core holes, and published studies of a fourth core hole, provided information for the interpretation of the impact processes, their interactions and relative timing, their resulting products, and sedimentation in the brim. Most studies of marine impact-crater materials have focused on those found in the central crater. There are relatively few large, complex marine craters, of which most display a wide brim around the central crater. However, most have been studied using minimal data sets. The large number of core holes and seismic profiles available for study of the Chesapeake Bay impact structure presents a special opportunity for research. The physical and chronologic records supplied by study of the sediment and rock cores of the Chesapeake Bay impact indicate that the effects of the initial, short-lived contact and compression and excavation stages of the impact event primarily were limited to the transient crater. Only secondary effects of these processes are evident in the brim. The preserved record of the brim was created primarily in the subsequent modification stage. In the brim, the records of early impact processes (e.g., outgoing tsunamis, overturned flap collapse) were modified or removed by later processes. Transported and rotated, large and small clasts of target sediments, and intervals of fluidized sands indicate that seismic shaking fractured and partially fluidized the Cretaceous and Paleogene target sediments, which led to their inward transport by collapse and lateral spreading toward the transient crater. The succeeding inward seawater-resurge flow quickly overtook and interacted with the lateral spreading, further facilitating sediment transport across the brim and into the transient crater. Variations in the cohesion and relative depth of the target sediments controlled their degree of disaggregation and redistribution during these events. Melt clasts and shocked and unshocked rock clasts in the resurge sediments indicate fallout from the ejecta curtain and plume. Basal parautochthonous remnant sections of target Cretaceous sediments in the brim thin toward the collapsed transient crater. Overlying seawater-resurge deposits consist primarily of diamictons that vary laterally in thickness, and vertically and laterally in maximum grain size. After cessation of resurge flow and re-establishment of pre-impact sea level, sandy sediment gravity flows moved from the margin to the center of the partially filled impact structure (shelf basin). The uppermost unit consists of stratified sediments deposited from suspension. Postimpact clayey silts cap the crater fill and record the return to shelf sedimentation at atypically large paleodepths within the shelf basin. An unresolved question involves a section of gravel and sand that overlies Neoproterozoic granite in the inner part of the brim in one core hole. This section may represent previously unrecognized, now parautochthonous Cretaceous sediments lying nonconformably above basement granite, or it may represent target sediments that were moved significant distances by lateral spreading above basement rocks or above a granite megaclast from the overturned flap. The Chesapeake Bay impact structure is perhaps the best documented example of the small group of multilayer, marine-target impacts formed in continental shelves or beneath epeiric seas.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Chesapeake Bay impact structure—Development of brim sedimentation in a multilayered marine target","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2018.2537","usgsCitation":"Dypvik, H., Gohn, G., Edwards, L., Horton,, J., Powars, D., and Litwin, R., 2019, Chesapeake Bay impact structure—Development of \"brim\" sedimentation in a multilayered marine target, chap. of Chesapeake Bay impact structure—Development of brim sedimentation in a multilayered marine target, p. 1-68, https://doi.org/10.1130/2018.2537.","productDescription":"68 p.","startPage":"1","endPage":"68","ipdsId":"IP-080339","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":468046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/2018.2537","text":"Publisher Index Page"},{"id":368360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.38220214843749,\n 36.80048816579081\n ],\n [\n -75.5145263671875,\n 36.80048816579081\n ],\n [\n -75.5145263671875,\n 39.7240885773337\n ],\n [\n -77.38220214843749,\n 39.7240885773337\n ],\n [\n -77.38220214843749,\n 36.80048816579081\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dypvik, Henning","contributorId":219821,"corporation":false,"usgs":false,"family":"Dypvik","given":"Henning","email":"","affiliations":[{"id":24717,"text":"University of Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":773256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gohn, Gregory 0000-0003-2000-479X ggohn@usgs.gov","orcid":"https://orcid.org/0000-0003-2000-479X","contributorId":219822,"corporation":false,"usgs":true,"family":"Gohn","given":"Gregory","email":"ggohn@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":773257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Lucy 0000-0003-4075-3317","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":219823,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":773258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":773259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powars, David 0000-0002-6787-8964","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":219825,"corporation":false,"usgs":true,"family":"Powars","given":"David","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":773260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Litwin, Ronald","contributorId":219826,"corporation":false,"usgs":true,"family":"Litwin","given":"Ronald","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":773261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216038,"text":"70216038 - 2019 - Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics","interactions":[],"lastModifiedDate":"2020-11-04T00:09:04.544821","indexId":"70216038","displayToPublicDate":"2018-11-28T18:02:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics","docAbstract":"Imperfect detection and misclassification errors are often ignored in the context of invasive species management. Here we present an approach that combines spatially explicit models and an optimization technique to design optimal search and destroy strategies based on noisy monitoring observations. We focus on two invasive plants, melaleuca (Melaleuca quinquenervia) and Old World climbing fern (Lygodium microphyllum), which continue to cause important damages to the Everglades ecosystem. We present a methodological framework that combines Hidden Markov Random Field (HMRF, initially developed for image analysis) and linear programming to optimally search for invasive species. A benefit of this approach is that it accounts for the spatial structure of the system by using a spatially explicit modeling approach (i.e. HMRF), and does not require repeated visits to model the probability of occurrence of species. We found on simulated cases that our approach can lead to substantial improvements in control efficiency when compared to state of the art model-free approaches. For example, in the case of the old world fern, simulations showed that the optimal strategy would allow managers to control up to 34% more sites than with model-free approaches that ignored misclassification and imperfect detection. For melaleuca it was possible to control up to 20% more sites. The vast increase in imagery data obtained from different sources (e.g. unmanned aerial systems, and satellite) provides great opportunities to improve management of natural resources by applying modern computational methods such as the one we present. Our approach can substantially increases the efficiency of invasive species control by accounting for imperfect detection, misclassification error and the spatial structure of the system. Our approach is applicable to other systems and problems, for example it could be applied to the control of plant pathogens, or optimal extraction of resources (e.g. minerals or biological resources).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.11.012","usgsCitation":"Bonneau, M., Martin, J., Peyrard, N., Rodgers, L., Romagosa, C.M., and Johnson, F., 2019, Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification: Ecological Modelling, v. 392, p. 108-116, https://doi.org/10.1016/j.ecolmodel.2018.11.012.","productDescription":"9 p.","startPage":"108","endPage":"116","ipdsId":"IP-089846","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2018.11.012","text":"Publisher Index Page"},{"id":366875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"392","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bonneau, Mathieu","contributorId":150041,"corporation":false,"usgs":false,"family":"Bonneau","given":"Mathieu","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":769177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":214502,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peyrard, Nathalie","contributorId":218403,"corporation":false,"usgs":false,"family":"Peyrard","given":"Nathalie","email":"","affiliations":[],"preferred":false,"id":769179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodgers, LeRoy","contributorId":217557,"corporation":false,"usgs":false,"family":"Rodgers","given":"LeRoy","email":"","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":769180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":769181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Fred A. 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":213877,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70207458,"text":"70207458 - 2019 - C–O stable isotope geochemistry and 40Ar/39Ar geochronology of the Bear Lodge carbonatite stockwork, Wyoming, USA","interactions":[],"lastModifiedDate":"2019-12-19T15:41:54","indexId":"70207458","displayToPublicDate":"2018-11-28T15:29:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2588,"text":"LITHOS","active":true,"publicationSubtype":{"id":10}},"displayTitle":"C–O stable isotope geochemistry and 40Ar/39Ar geochronology of the Bear Lodge carbonatite stockwork, Wyoming, USA","title":"C–O stable isotope geochemistry and 40Ar/39Ar geochronology of the Bear Lodge carbonatite stockwork, Wyoming, USA","docAbstract":"The carbonatite dike swarm and vein stockwork at the center of the Paleogene Bear Lodge alkaline complex (BLAC), Wyoming, USA, is host to diverse REE mineral assemblages that are largely a result of subsolidus modification and REE redistribution. Pseudomorphic replacement of primary burbankite by an assemblage of ancylite, strontianite, and barite is the result of interaction with late-stage hydrothermal fluids that added Sr, Ba, S, F, and REE, analogous to the replacement processes described for some carbonatite complexes of Russia's Kola Peninsula. Carbon and oxygen stable isotope ratios indicate that the primary carbonatite mineralogy experienced degassing/pneumatolysis and alteration by fluids of variable temperature, CO2/H2O ratios, and/or meteoric water content. Isotopic differences of matrix calcite between Group 1 carbonatites (avg. δ13C = −7.3‰; δ18O = 9.1‰) and Group 2 carbonatites (avg. δ13C = −9.9‰; δ18O = 10.2‰) are consistent with loss of CO2 during degassing. The open-system alteration of burbankite caused a pronounced positive δ18O-shift in bulk ancylite pseudomorphs (δ18O: 14.3–25.7‰) relative to matrix calcite (δ18O: 8.7–11.2‰). Oxygen isotope compositions of biotite (δ18O: 4.5–5.9‰) and K-feldspar (δ18O: 7.3–7.9‰) in unoxidized carbonatite are typical of primary magmatic silicates and suggest that fluids responsible for the burbankite-to-ancylite conversion remained predominantly magmatic (carbohydrothermal). Concomitant increases toward the surface in 13C and 18O, oxidation, matrix carbonate dissolution, and the replacement of REE carbonates (ancylite, carbocernaite, and burbankite) by Ca-REE fluorocarbonates (bastnäsite, parisite, synchysite) suggest interaction with late-stage, low temperature (<250 °C) fluids characterized by lower CO2/H2O ratios, and an increasing meteoric water component. The first 40Ar/39Ar ages from carbonatite-hosted biotite and K-feldspar at the BLAC are between 51.45 ± 0.08 and 51.89 ± 0.14 Ma. Although carbonatite is commonly observed as the final intrusive phase in alkaline igneous complexes, relative-age relationships and previously published geochronology for Bear Lodge rocks indicate that alkaline silicate magmatism both preceded and followed carbonatite emplacement.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.lithos.2018.11.030","usgsCitation":"Andersen, A.K., Larson, P.B., and Cosca, M.A., 2019, C–O stable isotope geochemistry and 40Ar/39Ar geochronology of the Bear Lodge carbonatite stockwork, Wyoming, USA: LITHOS, v. 324-324, p. 640-660, https://doi.org/10.1016/j.lithos.2018.11.030.","productDescription":"21 p.","startPage":"640","endPage":"660","ipdsId":"IP-097912 ","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":370516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Bear Lodge alkaline complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.79721069335938,\n 44.40827836571936\n ],\n [\n -104.3975830078125,\n 44.40827836571936\n ],\n [\n -104.3975830078125,\n 44.71063416158254\n ],\n [\n -104.79721069335938,\n 44.71063416158254\n ],\n [\n -104.79721069335938,\n 44.40827836571936\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"324-324","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":778124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Peter B.","contributorId":22645,"corporation":false,"usgs":true,"family":"Larson","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":778125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":778126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204970,"text":"70204970 - 2019 - Overview of spirit microscopic imager results","interactions":[],"lastModifiedDate":"2019-08-28T10:57:49","indexId":"70204970","displayToPublicDate":"2018-11-28T14:22:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Overview of spirit microscopic imager results","docAbstract":"This paper provides an overview of Mars Exploration Rover Spirit Microscopic Imager (MI) operations and the calibration, processing, and analysis of MI data. The focus of this overview is on the last five Earth years (2005–2010) of Spirit's mission in Gusev crater, supplementing the previous overview of the first 450 sols of the Spirit MI investigation. Updates to radiometric calibration using in‐flight data and improvements in high‐level processing are summarized. Released data products are described, and a table of MI observations, including target/feature names and associated data sets, is appended. The MI observed natural and disturbed exposures of rocks and soils as well as magnets and other rover hardware. These hand‐lens‐scale observations have provided key constraints on interpretations of the formation and geologic history of features, rocks, and soils examined by Spirit. MI images complement observations by other Spirit instruments, and together show that impact and volcanic processes have dominated the origin and evolution of the rocks in Gusev crater, with aqueous activity indicated by the presence of silica‐rich rocks and sulfate‐rich soils. The textures of some of the silica‐rich rocks are similar to terrestrial hot spring deposits, and observations of subsurface cemented layers indicate recent aqueous mobilization of sulfates in places. Wind action has recently modified soils and abraded many of the rocks imaged by the MI, as observed at other Mars landing sites.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JE005774","usgsCitation":"Herkenhoff, K., Squyres, S., Arvidson, R.E., Cole, S.B., Sullivan, R., Yingst, A., Cabrol, N., Lee, E., Richie, J., Sucharski, R.M., Calef, F.J., Bell, J., Chapman, M., Geissler, P., Edgar, L.A., Franklin, B., Hurowitz, J.A., Jensen, E., Johnson, J.R., Kirk, R.L., Lanagan, P., Mullins, K., Leff, C., Maki, J., Redding, B.L., Rice, M., Sims, M.H., Spanovich, N., Soderblom, L.A., Sunda, A., Springer, R., and Vaughan, A., 2019, Overview of spirit microscopic imager results: Journal of Geophysical Research E: Planets, v. 124, no. 2, p. 528-584, https://doi.org/10.1029/2018JE005774.","productDescription":"57 p.","startPage":"528","endPage":"584","ipdsId":"IP-087430","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":468048,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/633773","text":"External Repository"},{"id":367004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gusev Crater, Mars","volume":"124","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":206170,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":769327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Squyres, Steve W","contributorId":218471,"corporation":false,"usgs":false,"family":"Squyres","given":"Steve W","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":769328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":769334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Shoshanna B","contributorId":218473,"corporation":false,"usgs":false,"family":"Cole","given":"Shoshanna","email":"","middleInitial":"B","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":769335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Rob","contributorId":218474,"corporation":false,"usgs":false,"family":"Sullivan","given":"Rob","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":769336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yingst, Aileen","contributorId":172313,"corporation":false,"usgs":false,"family":"Yingst","given":"Aileen","email":"","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":769337,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cabrol, Nathalie","contributorId":218475,"corporation":false,"usgs":false,"family":"Cabrol","given":"Nathalie","affiliations":[{"id":39853,"text":"NASA Ames Research Center/SETI Institute","active":true,"usgs":false}],"preferred":false,"id":769338,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, Ella 0000-0001-6144-7197 elee@usgs.gov","orcid":"https://orcid.org/0000-0001-6144-7197","contributorId":218476,"corporation":false,"usgs":true,"family":"Lee","given":"Ella","email":"elee@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":769339,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richie, Janet 0000-0003-4151-1010","orcid":"https://orcid.org/0000-0003-4151-1010","contributorId":206347,"corporation":false,"usgs":true,"family":"Richie","given":"Janet","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":769329,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sucharski, Robert M. bsucharski@usgs.gov","contributorId":5051,"corporation":false,"usgs":true,"family":"Sucharski","given":"Robert","email":"bsucharski@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":769601,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Calef, Fred J.","contributorId":146331,"corporation":false,"usgs":false,"family":"Calef","given":"Fred","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":769341,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bell, James F. 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We built a population model using parameters (i.e. age-specific mortality, age at maturity, and size-specific fecundity) from literature and field studies to investigate the theoretical effects of harvest mortality on age structure. Because stock-recruitment relations are poorly characterized for this species, we explored the influence of both Beverton-Holt and Ricker recruitment processes. Our base model closely resembled the empirical age structures reported from three unfished lakes in Maine, with four percent of fish in the modeled spawning run being age-10 or older. We assessed the additive effects of harvest mortality on age structure using the full range of possible mortalities. As expected, increased harvest mortality in the model resulted in a decline and disappearance of older age-classes such that few fish greater than age-10 remained in the population under a realistic harvest mortality scenario. This age-truncation was qualitatively comparable to data from aggregate age distributions reported from three commercially harvested lakes in Maine. Because the loss of older fish may compromise population viability, this model is a valuable guidance tool for managers to craft regulation of this growing fishery.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02705060.2018.1496951","usgsCitation":"Zydlewski, J.D., Begley, M., and Coghlan, S., 2019, Modeling White Sucker (Catostomus commersonii) populations to assess commercial harvest influence on age structure: Journal of Freshwater Ecology, v. 33, no. 1, p. 413-428, https://doi.org/10.1080/02705060.2018.1496951.","productDescription":"16 p.","startPage":"413","endPage":"428","ipdsId":"IP-084184","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2018.1496951","text":"Publisher Index Page"},{"id":365939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"33","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":767018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Begley, Meg","contributorId":217535,"corporation":false,"usgs":false,"family":"Begley","given":"Meg","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":767191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coghlan, Stephen","contributorId":199623,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":767020,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227741,"text":"70227741 - 2019 - Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics","interactions":[],"lastModifiedDate":"2022-01-28T16:15:17.750707","indexId":"70227741","displayToPublicDate":"2018-11-28T10:07:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics","docAbstract":"The occurrence of plant species across the globe is largely constrained by climate. Ecologists use plant-climate relationships such as bioclimatic envelopes and related niche models to determine potential environmental conditions promoting probable species occurrence. Traditionally bioclimatic envelopes either exclude disturbance explicitly, or only include disturbance as infrequent and smaller scale processes, assuming that the net effect of climate parameters on key demographic processes predict longer-term equilibrial responses of biota. Due to increasing frequency and extent of extreme events associated with climate change, ecologists may need to increase focus on individual demographic events driven by environmental extremes such as widespread coral bleaching or large-scale tree die-off. An expanded focus on how extreme events catalyze individual demographic events would complement existing tools that predict long-term equilibrial biogeographic responses associated with long-term trends in climate. In many cases, extreme conditions (e.g. drought) are a necessary precursor for an abrupt demographic event (e.g. large-scale tree die-off) and the effects of extremes can be exacerbated by climatic trends (e.g. higher temperatures in combination with drought). Here, we highlight application of bioclimatic models for predicting individual demographic events. Defining the environmental conditions that precipitate demographic events such as widespread tree mortality is a necessary precursor for applying predictions to geographic space, and may require challenging biota with experiments that impose a combination of ecologically extreme conditions in one parameter and a shifting distribution in another (e.g. drought under higher temperatures). Currently data on conditions that drive individual demographic events associated with extremes are usually rare, aggregated across time, and/or correlative. We highlight this approach with a case study of drought-induced mortality in adult Pinus edulis trees that predicts a more than five-fold increase in frequency of die-off events under a global change scenario of high emissions. This general approach complements both traditional bioclimatic envelopes and more detailed physiological approaches currently being refined to address climate change challenges. Notably, this proposed approach could be developed for any climate condition or plant life stage, offering promise for improving predictions of individual demographic events that are rapidly altering ecosystems globally.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/700702","usgsCitation":"Law, D.J., Adams, H.D., Breshears, D.D., Cobb, N.S., Bradford, J.B., Zou, C.B., Field, J.P., Gardea, A.A., Williams, A.P., and Huxman, T.E., 2019, Bioclimatic envelopes for individual demographic events driven by extremes: Plant mortality from drought and warming: International Journal of Plant Sciences, v. 80, no. 1, p. 53-62, https://doi.org/10.1086/700702.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-066810","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":367246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Law, Darin J.","contributorId":216390,"corporation":false,"usgs":false,"family":"Law","given":"Darin","email":"","middleInitial":"J.","affiliations":[{"id":39400,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":770258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Henry D.","contributorId":218785,"corporation":false,"usgs":false,"family":"Adams","given":"Henry","email":"","middleInitial":"D.","affiliations":[{"id":39910,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87544, USA","active":true,"usgs":false}],"preferred":false,"id":770261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breshears, David D.","contributorId":51620,"corporation":false,"usgs":false,"family":"Breshears","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":770260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cobb, Neil S.","contributorId":200776,"corporation":false,"usgs":false,"family":"Cobb","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":770262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zou, Chris B.","contributorId":218786,"corporation":false,"usgs":false,"family":"Zou","given":"Chris","email":"","middleInitial":"B.","affiliations":[{"id":39911,"text":"Oklahoma State University, Stillwater, OK 74074, USA","active":true,"usgs":false}],"preferred":false,"id":770263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Field, Jason P.","contributorId":216389,"corporation":false,"usgs":false,"family":"Field","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":39400,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":770259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gardea, Alfonso A.","contributorId":218787,"corporation":false,"usgs":false,"family":"Gardea","given":"Alfonso","email":"","middleInitial":"A.","affiliations":[{"id":39912,"text":"Centro de Investigación en Alimentación y Desarrollo, A.C., Guaymas, Sonora, Mexico","active":true,"usgs":false}],"preferred":false,"id":770264,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, A. Park","contributorId":200207,"corporation":false,"usgs":false,"family":"Williams","given":"A.","email":"","middleInitial":"Park","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":770265,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huxman, Travis E.","contributorId":53898,"corporation":false,"usgs":false,"family":"Huxman","given":"Travis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":770266,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70204991,"text":"70204991 - 2019 - The extreme space weather event in September 1909","interactions":[],"lastModifiedDate":"2019-08-28T12:17:09","indexId":"70204991","displayToPublicDate":"2018-11-27T12:12:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5624,"text":"Monthly Notices of the Royal Astronomical Society","active":true,"publicationSubtype":{"id":10}},"title":"The extreme space weather event in September 1909","docAbstract":"We evaluate worldwide low-latitude auroral activity associated with the great magnetic storm of September 1909 for which a minimum Dst value of −595 nT has recently been determined. From auroral observations, we calculate that the equatorward boundary of the auroral oval in the 1909 event was in the range from 31°–35° invariant latitude (assuming auroral height of 400 km) to 37°–38° (800 km). These locations compare with satellite-based observations of precipitating auroral electrons down to 40° magnetic latitude for the March 1989 storm with its comparable minimum Dst value of −589 nT. According to Japanese auroral records, bluish colour started to appear first, followed by reddish colour. The colour change can be attributed to the transition from sunlit aurora to the usual low-latitude reddish aurora. Telegraph communications were disrupted at mid/low latitudes, coincidently with the storm main phase and the early recovery phase. The telegraphic disturbances were caused by geomagnetically induced currents associated with the storm-time ring current and substorm current wedge. From the calculated CME energy ─ based on the 24.75 hr separation between the flare-associated magnetic crochet and the geomagnetic storm sudden commencement and interplanetary conditions inferred from geomagnetic data ─ and consideration of the ∼−40 nT crochet amplitude, we estimated that the soft X-ray class of the 24 September 1909 flare was ≥X10. As is the case for other extreme storms, strong/sharp excursions in the horizontal component of the magnetic field observed at low-latitude magnetic stations were coincident with the observation of low-latitude aurora.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/mnras/sty3196","usgsCitation":"Hayakawa, H., Ebihara, Y., Cliver, E.W., Hattori, K., Toriumi, S., Love, J.J., Umemura, N., Namekata, K., Sakaue, T., Takahashi, T., and Shibata, K., 2019, The extreme space weather event in September 1909: Monthly Notices of the Royal Astronomical Society, v. 484, no. 3, p. 4083-4099, https://doi.org/10.1093/mnras/sty3196.","productDescription":"17 p.","startPage":"4083","endPage":"4099","ipdsId":"IP-104047","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":313,"text":"Geomagnetism Program","active":false,"usgs":true}],"links":[{"id":468050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://purl.org/net/epubs/work/44708484","text":"External Repository"},{"id":367012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"484","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayakawa, Hisashi","contributorId":215231,"corporation":false,"usgs":false,"family":"Hayakawa","given":"Hisashi","email":"","affiliations":[{"id":39211,"text":"Graduate School of Letters, Osaka University; Science and Technology Facilities Council, RAL Space, Rutherford Appleton Laboratory, Harwell Campus","active":true,"usgs":false}],"preferred":false,"id":769466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebihara, Yusuke","contributorId":218518,"corporation":false,"usgs":false,"family":"Ebihara","given":"Yusuke","email":"","affiliations":[{"id":39859,"text":"Research Institute for Sustainable Humanosphere, Kyoto University, Uji; Unit of Synergetic Studies for Space, Kyoto University, Kyoto","active":true,"usgs":false}],"preferred":false,"id":769467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cliver, Edward W.","contributorId":215232,"corporation":false,"usgs":false,"family":"Cliver","given":"Edward","email":"","middleInitial":"W.","affiliations":[{"id":39212,"text":"National Solar Observatory","active":true,"usgs":false}],"preferred":false,"id":769468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hattori, Kentaro","contributorId":218519,"corporation":false,"usgs":false,"family":"Hattori","given":"Kentaro","email":"","affiliations":[{"id":39860,"text":"Graduate School of Science, Kyoto University, Kyoto","active":true,"usgs":false}],"preferred":false,"id":769469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toriumi, Shin","contributorId":218520,"corporation":false,"usgs":false,"family":"Toriumi","given":"Shin","email":"","affiliations":[{"id":39861,"text":"National Astronomical Observatory of Japan","active":true,"usgs":false}],"preferred":false,"id":769470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":769471,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Umemura, Norio","contributorId":218521,"corporation":false,"usgs":false,"family":"Umemura","given":"Norio","email":"","affiliations":[{"id":39862,"text":"Institute for Space–Earth Environmental Research, Nagoya University","active":true,"usgs":false}],"preferred":false,"id":769472,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Namekata, Kosuke","contributorId":218522,"corporation":false,"usgs":false,"family":"Namekata","given":"Kosuke","email":"","affiliations":[{"id":39860,"text":"Graduate School of Science, Kyoto University, Kyoto","active":true,"usgs":false}],"preferred":false,"id":769473,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sakaue, Takahito","contributorId":218523,"corporation":false,"usgs":false,"family":"Sakaue","given":"Takahito","email":"","affiliations":[{"id":39863,"text":"Graduate School of Science, Kyoto University, Kyoto; Kwasan Observatory, Kyoto University","active":true,"usgs":false}],"preferred":false,"id":769474,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Takahashi, Takuya","contributorId":218524,"corporation":false,"usgs":false,"family":"Takahashi","given":"Takuya","email":"","affiliations":[{"id":39863,"text":"Graduate School of Science, Kyoto University, Kyoto; Kwasan Observatory, Kyoto University","active":true,"usgs":false}],"preferred":false,"id":769475,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shibata, Kazunari","contributorId":218525,"corporation":false,"usgs":false,"family":"Shibata","given":"Kazunari","email":"","affiliations":[{"id":39863,"text":"Graduate School of Science, Kyoto University, Kyoto; Kwasan Observatory, Kyoto University","active":true,"usgs":false}],"preferred":false,"id":769476,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70201074,"text":"70201074 - 2019 - Extreme value-based methods for modeling elk yearly movements","interactions":[],"lastModifiedDate":"2019-02-11T15:03:17","indexId":"70201074","displayToPublicDate":"2018-11-27T10:08:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Extreme value-based methods for modeling elk yearly movements","docAbstract":"Species range shifts and the spread of diseases are both likely to be driven by extreme movements, but are difficult to statistically model due to their rarity. We propose a statistical approach for characterizing movement kernels that incorporate landscape covariates as well as the potential for heavy-tailed distributions. We used a spliced distribution for distance travelled paired with a resource selection function to model movements biased toward preferred habitats. As an example, we used data from 704 annual elk movements around the Greater Yellowstone Ecosystem from 2001 to 2015. Yearly elk movements were both heavy-tailed and biased away from high elevations during the winter months. We then used a simulation to illustrate how these habitat effects may alter the rate of disease spread using our estimated movement kernel relative to a more traditional approach that does not include landscape covariates. Supplementary materials accompanying this paper appear online.
","language":"English","publisher":"Springer","doi":"10.1007/s13253-018-00342-2","usgsCitation":"Wijeyakulasuriya, D.A., Hanks, E.M., Shaby, B.A., and Cross, P.C., 2019, Extreme value-based methods for modeling elk yearly movements: Journal of Agricultural, Biological, and Environmental Statistics, v. 24, no. 1, p. 73-91, https://doi.org/10.1007/s13253-018-00342-2.","productDescription":"19 p.","startPage":"73","endPage":"91","ipdsId":"IP-094523","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":359698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-12","publicationStatus":"PW","scienceBaseUri":"5bfe65e0e4b0815414ca60f2","contributors":{"authors":[{"text":"Wijeyakulasuriya, Dhanushi A. 0000-0001-6244-6575","orcid":"https://orcid.org/0000-0001-6244-6575","contributorId":210839,"corporation":false,"usgs":false,"family":"Wijeyakulasuriya","given":"Dhanushi","email":"","middleInitial":"A.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":752266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanks, Ephraim M. 0000-0003-0345-7164","orcid":"https://orcid.org/0000-0003-0345-7164","contributorId":210840,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":752267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaby, Benjamin A.","contributorId":210841,"corporation":false,"usgs":false,"family":"Shaby","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":752268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":752265,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228051,"text":"70228051 - 2019 - The future of recreational fisheries: Advances in science, monitoring, management, and practice","interactions":[],"lastModifiedDate":"2022-02-03T15:45:33.331121","indexId":"70228051","displayToPublicDate":"2018-11-27T09:40:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"The future of recreational fisheries: Advances in science, monitoring, management, and practice","docAbstract":"Recreational fisheries (RF) are complex social-ecological systems that play an important role in aquatic environments while generating significant social and economic benefits around the world. The nature of RF is diverse and rapidly evolving, including the participants, their priorities and behaviors, and the related ecological impacts and social and economic benefits. RF can lead to negative ecological impacts, particularly through overexploitation of fish populations and spread of non-native species and genotypes through stocking. Hence, careful management and monitoring of RF is essential to sustain these ecologically and socioeconomically important resources. This special issue on recreational fisheries contains diverse research, syntheses, and perspectives that highlight the advances being made in RF research, monitoring, management, and practice, which we summarize here. Co-management actions are rising, often involving diverse interest groups including government and non-government organizations; applying collaborative management practices can help balance social and economic benefits with conservation targets. Technological and methodological advances are improving the ability to monitor biological, social, and economic dynamics of RF, which underpin the ability to maximize RF benefits through management actions. To ensure RF sustainability, much research focuses on the ecological aspects of RF, as well as the development of management and angling practices that reduce negative impacts on fish populations. For example, angler behavior can be influenced to conform to conservation-minded angling practices through regulations, but is often best accomplished through growing bottom-up social change movements. Anglers can also play an important role in fisheries monitoring and conservation, including providing data on fish abundance and assemblages (i.e., citizen science). The increasing impacts that growing human populations are having on the global environment are threatening many of the natural resources and ecosystem services they provide, including valuable RF. However, with careful development of research initiatives, monitoring and management, sustainable RF can generate positive outcomes for both society and natural ecosystems and help solve allocation conflicts with commercial fisheries and conservation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2018.10.019","usgsCitation":"Brownscombe, J., Hyder, K., Potts, W.M., Wilson, K.V., Pope, K.L., Danylchuk, A., Cooke, S.J., Clarke, A., Arlinghaus, R., and Postel, J.R., 2019, The future of recreational fisheries: Advances in science, monitoring, management, and practice: Fisheries Research, v. 211, p. 247-255, https://doi.org/10.1016/j.fishres.2018.10.019.","productDescription":"9 p.","startPage":"247","endPage":"255","ipdsId":"IP-099929","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468051,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.publisso.de/resource/frl:6411884","text":"External Repository"},{"id":395354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brownscombe, J. W.","contributorId":274403,"corporation":false,"usgs":false,"family":"Brownscombe","given":"J. W.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":832966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hyder, K.","contributorId":268277,"corporation":false,"usgs":false,"family":"Hyder","given":"K.","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":832967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Potts, W. M.","contributorId":268289,"corporation":false,"usgs":false,"family":"Potts","given":"W.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":832968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, K. V.","contributorId":196488,"corporation":false,"usgs":false,"family":"Wilson","given":"K.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":832969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":832970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Danylchuk, A. J.","contributorId":146536,"corporation":false,"usgs":false,"family":"Danylchuk","given":"A. J.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":832973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cooke, S. J.","contributorId":55645,"corporation":false,"usgs":false,"family":"Cooke","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":832974,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clarke, Adrian","contributorId":274507,"corporation":false,"usgs":false,"family":"Clarke","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":833066,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arlinghaus, R.","contributorId":268274,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"R.","affiliations":[{"id":55610,"text":"IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":832971,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Postel, J. R.","contributorId":152576,"corporation":false,"usgs":false,"family":"Postel","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":832972,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70215506,"text":"70215506 - 2019 - Early arc development recorded in Permian–Triassic plutons of the northern Mojave Desert region, California, USA","interactions":[],"lastModifiedDate":"2020-10-21T14:12:28.072247","indexId":"70215506","displayToPublicDate":"2018-11-27T09:09:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Early arc development recorded in Permian–Triassic plutons of the northern Mojave Desert region, California, USA","docAbstract":"Permian–Middle Triassic plutons in the northern Mojave Desert, USA, are emplaced into the cryptic El Paso terrane, which is characterized by a northwest-striking belt of deep marine eugeoclinal strata juxtaposed against Proterozoic basement and its miogeoclinal cover. Fourteen new zircon U-Pb ages from the El Paso Mountains and Lane Mountain region of the Mojave Desert record nearly continuous magmatism occurring between ca. 275 and 240 Ma. These ages, which are taken to record the onset of subduction-related magmatism along the southwestern Laurentian margin, are older than the earliest arc plutons documented in the southern Sierra Nevada region to the north and in the Transverse Ranges to the south. They overlap, however, with Permian arc plutons documented in Sonora, Mexico. Dated plutons are compositionally variable, but can be characterized as intermediate to felsic, calcic to calc-alkalic, and having chemistries consistent with generation in an arc setting. Whole rock Sr-Nd isotopic compositions vary widely from relatively primitive (Sri = 0.7035, initial εNd = +3, initial εHf in zircon = +13) to moderately evolved (Sri = 0.708, initial εNd = –5, initial εHf in zircon = –3). Isotopic signatures differ considerably from partially coeval Triassic suites of the Transverse Ranges and central Mojave, which are more evolved and consistent with emplacement in Proterozoic continental crust of the Mojave province. They also differ considerably from those typical of intermediate plutons generated in intra-oceanic arcs, which are overall much more mantle-like. This suggests that the underpinnings of the El Paso terrane may be at least partly composed of continental crust and that magmas emplaced into the terrane may have been variably contaminated by crustal components. This is supported by the presence of Precambrian and early Paleozoic zircon inheritance recorded in some plutons. In all isotopic systems, values are the most evolved in the oldest plutons (ca. 275–270 Ma), becoming more juvenile in the Middle Triassic. These temporal trends, together with pluton fabrics and new estimates of Permian plate vectors, are interpreted to reflect generation of the earliest arc in a contractional setting that may have driven crustal thickening and a greater involvement of crustal materials in Permian magmas. This result supports a model of forced subduction initiation, which is favored by a change in plate motions along a previously weak margin, and predicts an initial compressive state in the upper plate. The uniformly primitive signatures of Triassic melts are taken to indicate a change to a transtensional upper-plate stress regime that promoted the development of more voluminous, primarily mantle-derived melts. Regional pluton age patterns suggest that arc magmatism initiated in restricted areas of the southwestern Laurentian margin (northern Mojave, Sonora) and then migrated north and south ultimately becoming a continuous arc by Jurassic time.