The nearshore land-water interface is an important ecological zone that faces anthropogenic pressure from development in coastal regions throughout the world. Coastal waters and estuaries like Chesapeake Bay receive and process land discharges loaded with anthropogenic nutrients and other pollutants that cause eutrophication, hypoxia, and other damage to shallow-water ecosystems. In addition, shorelines are increasingly armored with bulkhead (seawall), riprap, and other structures to protect human infrastructure against the threats of sea-level rise, storm surge, and erosion. Armoring can further influence estuarine and nearshore marine ecosystem functions by degrading water quality, spreading invasive species, and destroying ecologically valuable habitat. These detrimental effects on ecosystem function have ramifications for ecologically and economically important flora and fauna. This special issue of Estuaries and Coasts explores the interacting effects of coastal land use and shoreline armoring on estuarine and coastal marine ecosystems. The majority of papers focus on the Chesapeake Bay region, USA, where 50 major tributaries and an extensive watershed (~ 167,000 km2), provide an ideal model to examine the impacts of human activities at scales ranging from the local shoreline to the entire watershed. The papers consider the influence of watershed land use and natural versus armored shorelines on ecosystem properties and processes as well as on key natural resources.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0331-1","usgsCitation":"Prosser, D.J., Jordan, T.E., Nagel, J.L., Seitz, R.D., Weller, D.E., and Whigham, D.F., 2018, Impacts of coastal land use and shoreline armoring on estuarine ecosystems: An introduction to a special issue: Estuaries and Coasts, v. 41, no. Supplement 1, p. 2-18, https://doi.org/10.1007/s12237-017-0331-1.","productDescription":"17 p.","startPage":"2","endPage":"18","ipdsId":"IP-080892","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":460867,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-017-0331-1","text":"Publisher Index Page"},{"id":356312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"Supplement 1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-18","publicationStatus":"PW","scienceBaseUri":"5b6fc3d3e4b0f5d57878e8f9","contributors":{"authors":[{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":741906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jordan, Thomas E.","contributorId":206832,"corporation":false,"usgs":false,"family":"Jordan","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":741908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":741907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seitz, Rochelle D.","contributorId":206833,"corporation":false,"usgs":false,"family":"Seitz","given":"Rochelle","email":"","middleInitial":"D.","affiliations":[{"id":37406,"text":"College of William & Mary","active":true,"usgs":false}],"preferred":false,"id":741909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weller, Donald E.","contributorId":206834,"corporation":false,"usgs":false,"family":"Weller","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":741910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whigham, Dennis F.","contributorId":206835,"corporation":false,"usgs":false,"family":"Whigham","given":"Dennis","email":"","middleInitial":"F.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":741911,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198556,"text":"70198556 - 2018 - The case for mean rupture distance in ground‐motion estimation","interactions":[],"lastModifiedDate":"2018-09-28T09:08:49","indexId":"70198556","displayToPublicDate":"2018-08-07T16:05:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The case for mean rupture distance in ground‐motion estimation","docAbstract":"This article advocates for the use of mean rupture distances that we contend are more physically representative of the distance to an earthquake and are simpler than minimum distances. Many current ground‐motion models (GMMs) rely on numerous modifications of minimum rupture distances to accurately model near‐source ground motions. These modifications, that include additional distance definitions and saturation terms, result in complicated functional forms and are often not easily understood on a seismological basis, such as the magnitude‐dependent near‐fault saturation term. The use of mean distance represents the location of a station in relation to the entire rupture plane and results in a simpler, more physically meaningful GMM that models near‐source ground motion as accurately as other GMMs that have more inputs and more complex functional forms. We demonstrate the use of mean distance by developing a GMM for shallow‐crustal earthquakes with the Next Generation Attenuation‐West2 (NGA‐West2) project database. Specifically, we use the generalized mean distance, also known as the power mean, in which the power varies with frequency. We show that this new GMM fits the NGA‐West2 database as well as the NGA‐West2 GMMs and exhibits similar near‐source amplitude scaling. An additional benefit of mean distance is that it can provide a mechanism to account for spatially variable slip. We prospectively validate this GMM against the 2016
We have produced a large set of broadband (0–10 Hz) synthetic seismograms for Mw 9.0 earthquakes on the Cascadia megathrust by combining synthetic seismograms derived from 3D finite‐difference simulations (≤1 Hz) with finite‐source, stochastic synthetics (≥1 Hz). We used a compound rupture model consisting of high stress drop Mw 8 subevents superimposed on large, shallower slip with long‐slip duration, informed by observations of the Mw 9.0 Tohoku, Japan, and Mw 8.8 Maule, Chile, earthquakes. Thirty 3D simulations were run, considering a variety of rupture parameters, to determine the range of expected ground motions. For sites not in sedimentary basins, the spectral accelerations of the synthetics are similar to the BC Hydro ground‐motion prediction equations (GMPEs) for periods of 0.1–6 s, but exceed them at periods greater than 6 s. Response spectra from the synthetics at sites in the Seattle and Tacoma sedimentary basins show large amplifications of factors of 2–5 at periods of 1–10 s. This basin amplification is substantially larger than that found for crustal earthquakes in the Next Generation Attenuation‐West2 (NGA‐West2) GMPEs. Basin amplification is caused by basin‐edge generated surface waves and by amplification and focusing of S waves and surface waves by the 3D basin structure. The synthetic seismograms show effective average durations of strong motions of about 70 s for coastal sites, increasing to about 120 s at 200 km distance. We find that the interevent and intraevent standard deviations of the spectral amplitudes of the synthetics are larger for sites closer to the rupture, because they are more sensitive to the location of subevents and rupture directivity.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180034","usgsCitation":"Frankel, A.D., Wirth, E.A., Marafi, N.A., Vidale, J., and Stephenson, W.J., 2018, Broadband synthetic seismograms for magnitude 9 earthquakes on the Cascadia megathrust based on 3D simulations and stochastic synthetics, part 1: Methodology and overall results: Bulletin of the Seismological Society of America, v. 108, no. 5A, p. 2347-2369, https://doi.org/10.1785/0120180034.","productDescription":"23 p.","startPage":"2347","endPage":"2369","ipdsId":"IP-093514","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":482515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascadia megathrust","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.41272152937212,\n 49.04691268730406\n ],\n [\n -125.4402169384462,\n 49.04691268730406\n ],\n [\n -125.4402169384462,\n 39.54787046829682\n ],\n [\n -121.41272152937212,\n 39.54787046829682\n ],\n [\n -121.41272152937212,\n 49.04691268730406\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"108","issue":"5A","noUsgsAuthors":false,"publicationDate":"2018-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":928749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vidale, John","contributorId":194843,"corporation":false,"usgs":false,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":928750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":928751,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203008,"text":"70203008 - 2018 - Sex-specific variation in denning by brown bears","interactions":[],"lastModifiedDate":"2019-11-25T14:35:54","indexId":"70203008","displayToPublicDate":"2018-08-07T14:30:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2653,"text":"Mammalian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Sex-specific variation in denning by brown bears","docAbstract":"Denning characteristics of brown bears (Ursus arctos) have been described in numerous studies; however, population specific factors (i.e., landscape characteristics and climate) can greatly influence the location and timing of denning. Our objective was to evaluate den-site characteristics and denning chronology for male and female brown bears in Lake Clark National Park and Preserve, Alaska. We used maximum entropy modeling to characterize attributes of den sites and generalized linear mixed models to compare denning chronology between males and females. We located 70 den sites (19 male and 51 female) and documented den entrance (n = 61 [15 male and 46 female]) and emergence (n = 60 [13 male and 47 female]) dates for bears from fall 2014 to spring 2017. The best performing model for estimating probable male den-site use (AUC = 0.862) was most influenced by slope (79.5%). The most parsimonious female model (AUC = 0.910) included elevation (49.3%), slope (43.1%), and aspect (7.6%). Female brown bears on average denned at higher elevations (868, SE = 190 m) than males (762, SE = 195 m) (F1,73 = 4.08, P = 0.047). Additionally, female bears entered dens 8 days earlier than males (SE = 12.82; 20 and 28 October, respectively, P = 0.04), and although not significant (P = 0.09), average female den emergence dates were 7 days (SE = 15.14) later than males. With the potential for increased human activities (i.e. resource extraction and associated access), gaining an understanding of population specific denning requirements is essential for developing future management actions. Our results provide valuable information that will allow decision makers to structure future development in a way that avoids habitats important for denning, and allows for reduced disturbance of winter den sites.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.mambio.2018.08.001","usgsCitation":"Mangipane, L., Belant, J.L., Mangipane, B., Gustine, D., and Hilderbrand, G., 2018, Sex-specific variation in denning by brown bears: Mammalian Biology, v. 93, p. 38-44, https://doi.org/10.1016/j.mambio.2018.08.001.","productDescription":"7 p.","startPage":"38","endPage":"44","ipdsId":"IP-088749","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":369571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Clark National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.14892578125,\n 59.65664225341022\n ],\n [\n -153.2867431640625,\n 59.65664225341022\n ],\n [\n -153.2867431640625,\n 60.76184270045503\n ],\n [\n -155.14892578125,\n 60.76184270045503\n ],\n [\n -155.14892578125,\n 59.65664225341022\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"93","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mangipane, Lindsey","contributorId":201731,"corporation":false,"usgs":false,"family":"Mangipane","given":"Lindsey","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":760762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":760763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mangipane, Buck","contributorId":211731,"corporation":false,"usgs":false,"family":"Mangipane","given":"Buck","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":760764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":760765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":760761,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198508,"text":"70198508 - 2018 - The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes","interactions":[],"lastModifiedDate":"2018-08-06T14:53:30","indexId":"70198508","displayToPublicDate":"2018-08-06T14:53:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes","docAbstract":"In this review article, we trace the history of events leading to the development of individual-based models (IBMs) to represent aquatic organisms in rivers and streams. As a metaphor, we present this history as a series of confluences between individual scientists (tributaries) sharing ideas. We describe contributions of these models to science and management. One iconic feature of river IBMs is the linkage between flow and the physical habitat experienced by individual animals, and the first model that focused on this linkage is briefly described. We continue by reviewing the contributions of riverine IBMs to eight broad areas of scientific inquiry. The first four areas include research to understand 1) the effects of flow regimes on fish populations, 2) species interactions (e.g., size-mediated competition and predation), 3) fish movement and habitat selection, and 4) contaminant and water quality impacts on populations. Next, we review research using IBMs 5) to guide conservation biology of imperiled taxa through population viability analysis, including research 6) to understand river fragmentation by dams and reconnection, 7) to understand genetic outcomes for riverine metapopulations, and 8) to anticipate the future effects of temperature and climate change. This rich body of literature has contributed to both theoretical insights (e.g., about animal behavior and life history) and applied insights (e.g., population-level effects of flow regimes, temperature, and the effects of hydropower and other industries that share rivers with aquatic biota). We finish by exploring promising branches that lie ahead in the braided, downstream channel that represents future river modeling research.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.06.013","usgsCitation":"Jager, H.I., and DeAngelis, D.L., 2018, The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes: Ecological Modelling, v. 384, p. 341-352, https://doi.org/10.1016/j.ecolmodel.2018.06.013.","productDescription":"12 p.","startPage":"341","endPage":"352","ipdsId":"IP-095746","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468517,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1461059","text":"Publisher Index Page"},{"id":356209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"384","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3d6e4b0f5d57878e901","contributors":{"authors":[{"text":"Jager, Henriette I.","contributorId":206774,"corporation":false,"usgs":false,"family":"Jager","given":"Henriette","email":"","middleInitial":"I.","affiliations":[{"id":37400,"text":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee","active":true,"usgs":false}],"preferred":false,"id":741717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":741716,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198462,"text":"70198462 - 2018 - Regional variation in drivers of connectivity for two frog species (Rana pretiosa and R. luteiventris) from the U.S. Pacific Northwest","interactions":[],"lastModifiedDate":"2018-08-30T14:50:53","indexId":"70198462","displayToPublicDate":"2018-08-06T12:55:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Regional variation in drivers of connectivity for two frog species (Rana pretiosa and R. luteiventris) from the U.S. Pacific Northwest","title":"Regional variation in drivers of connectivity for two frog species (Rana pretiosa and R. luteiventris) from the U.S. Pacific Northwest","docAbstract":"Comparative landscape genetics has uncovered high levels of variability in which landscape factors affect connectivity among species and regions. However, the relative importance of species traits versus environmental variation for predicting landscape patterns of connectivity is unresolved. We provide evidence from a landscape genetics study of two sister taxa of frogs, the Oregon spotted frog (Rana pretiosa) and the Columbia spotted frog (Rana luteiventris) in Oregon and Idaho, USA. Rana pretiosa is relatively more dependent on moisture for dispersal than R. luteiventris, so if species traits influence connectivity, we predicted that connectivity among R. pretiosa populations would be more positively associated with moisture than R. luteiventris. However, if environmental differences are important drivers of gene flow, we predicted that connectivity would be more positively related to moisture in arid regions. We tested these predictions using eight microsatellite loci and gravity models in two R. pretiosaregions and four R. luteiventris regions (n = 1,168 frogs). In R. pretiosa, but not R. luteiventris, connectivity was positively related to mean annual precipitation, supporting our first prediction. In contrast, connectivity was not more positively related to moisture in more arid regions. Various temperature metrics were important predictors for both species and in all regions, but the directionality of their effects varied. Therefore, the pattern of variation in drivers of connectivity was consistent with predictions based on species traits rather than on environmental variation.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.14798","usgsCitation":"Robertson, J.M., Murphy, M.A., Pearl, C., Adams, M.J., Paez-Vacas, M.I., Haig, S.M., Pilliod, D.S., Storfer, A., and Funk, W., 2018, Regional variation in drivers of connectivity for two frog species (Rana pretiosa and R. luteiventris) from the U.S. Pacific Northwest: Molecular Ecology, v. 27, no. 16, p. 3242-3256, https://doi.org/10.1111/mec.14798.","productDescription":"15 p.","startPage":"3242","endPage":"3256","ipdsId":"IP-090907","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":356197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 42\n ],\n [\n -116,\n 42\n ],\n [\n -116,\n 45\n ],\n [\n -124,\n 45\n ],\n [\n -124,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-03","publicationStatus":"PW","scienceBaseUri":"5b6fc3d8e4b0f5d57878e905","contributors":{"authors":[{"text":"Robertson, Jeanne M.","contributorId":147052,"corporation":false,"usgs":false,"family":"Robertson","given":"Jeanne","email":"","middleInitial":"M.","affiliations":[{"id":16778,"text":"Biology Department, California State University Northbridge","active":true,"usgs":false}],"preferred":false,"id":741521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Melanie A.","contributorId":176870,"corporation":false,"usgs":false,"family":"Murphy","given":"Melanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":741522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":741523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":741520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paez-Vacas, Monica I.","contributorId":206707,"corporation":false,"usgs":false,"family":"Paez-Vacas","given":"Monica","email":"","middleInitial":"I.","affiliations":[{"id":37379,"text":"Universidad Tecnológica Indoamérica","active":true,"usgs":false}],"preferred":false,"id":741524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","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":741525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":741526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Storfer, Andrew","contributorId":206708,"corporation":false,"usgs":false,"family":"Storfer","given":"Andrew","email":"","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":741527,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":189580,"corporation":false,"usgs":false,"family":"Funk","given":"W. Chris","affiliations":[],"preferred":false,"id":741528,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70198467,"text":"70198467 - 2018 - Mapping and measuring aeolian sand dunes with photogrammetry and LiDAR from unmanned aerial vehicles (UAV) and multispectral satellite imagery on the Paria Plateau, AZ, USA","interactions":[],"lastModifiedDate":"2018-08-06T12:50:50","indexId":"70198467","displayToPublicDate":"2018-08-06T12:50:40","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping and measuring aeolian sand dunes with photogrammetry and LiDAR from unmanned aerial vehicles (UAV) and multispectral satellite imagery on the Paria Plateau, AZ, USA","docAbstract":"The Paria Plateau is a potentially important but relatively unstudied aeolian sand source area in the Grand Canyon region of Arizona, USA. This study used unmanned aerial vehicle(UAV) - based LiDAR and structure-from-motion (SfM) photogrammetry to produce high-resolution topographic models of aeolian dunes on the plateau. We combined the dune topography data with a high-resolution satellite image maximum likelihood classification (producer's accuracy = 87.2%) to quantify potential aeolian sand source areas across the 958 km2 plateau. We mapped all the unvegetated active aeolian dunes on the plateau and estimate they contain 24 Tg of sand, and could, therefore, be a proportionately important regional sand source considering the annual sand loads of the downwind Paria River at its confluence with the Colorado River are generally <1 Tg. The results and data from this study could be useful for future investigations that wish to explicitly link aeolian sand on the Paria Plateau to downwind sediment dynamics in the region. The methodology for UAV and satellite remote sensing that we demonstrate could be applied to quantify sand at large geographic extents in other aeolian environments around the world.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2018.07.023","usgsCitation":"Solazzo, D., Sankey, J.B., Sankey, T.T., and Munson, S.M., 2018, Mapping and measuring aeolian sand dunes with photogrammetry and LiDAR from unmanned aerial vehicles (UAV) and multispectral satellite imagery on the Paria Plateau, AZ, USA: Geomorphology, v. 319, p. 174-185, https://doi.org/10.1016/j.geomorph.2018.07.023.","productDescription":"12 p.","startPage":"174","endPage":"185","ipdsId":"IP-088433","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":356196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Paria Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.08389282226561,\n 36.686591910212194\n ],\n [\n -111.59843444824219,\n 36.686591910212194\n ],\n [\n -111.59843444824219,\n 37.00035919622158\n ],\n [\n -112.08389282226561,\n 37.00035919622158\n ],\n [\n -112.08389282226561,\n 36.686591910212194\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"319","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3dae4b0f5d57878e907","contributors":{"authors":[{"text":"Solazzo, Daniel","contributorId":206775,"corporation":false,"usgs":false,"family":"Solazzo","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":741718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":741719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":741720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":741721,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198422,"text":"sir20185053 - 2018 - An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data","interactions":[],"lastModifiedDate":"2018-08-07T13:33:46","indexId":"sir20185053","displayToPublicDate":"2018-08-06T12:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5053","title":"An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data","docAbstract":"An exploratory discrete Bayesian network (BN) was developed to assess the potential of this type of model for estimating the magnitudes and uncertainties of an arbitrary subset of unmeasured water-quality parameters given the measured complement of parameters historically measured at a U.S. Geological Survey streamgage. Water-quality data for 27 water-quality parameters from 596 discrete measurements at U.S. Geological Survey streamgage 03374100 White River at Hazleton, Indiana, were used to develop this BN. Data for each of the water-quality parameters were discretized into five intervals based on the quintiles of the measured values. The 596 discrete measurements were randomly partitioned into a training set with 80 percent of the data and a testing set with 20 percent of the data to identify, estimate, and assess the training and testing accuracy of the Bayesian network.
A BN with 28 nodes was formed from the 27 water-quality parameters and the month of sample collection. Based on data in the training set, a network with 53 directed edges and month as the target node was identified by minimizing the negative log-likelihood function for all nodes treated, in turn, as the target variable. The edge structure determines the number and magnitude of elements in conditional probability tables associated with all nodes.
The effectiveness of the BN was assessed on the basis of correct classification rates to one of the five discrete intervals, which were computed separately for the training and testing datasets and for two conditioning variable sets. The selected sets of conditioning variables represent two of many possible sets of measured parameters on which to base estimates of unmeasured parameters. The first set includes only the month of sample collection (month), and an expanded set includes month and six other continuously measurable parameters, referred to as the ContMeasSet, all of which were obtained from the discrete data.
Results indicated that the training dataset had average correct classification rates of 41.7- and 61.2-percent rates conditioned on the month and ContMeasSet sets, respectively. The testing dataset had somewhat lower average correct classification rates of 40.8 and 56.5 percent for the two conditioning variable sets. When conditioned on month only, the average correct classification rate for the testing dataset was only slightly lower than the average correct classification rate in the training dataset, indicating little model overfitting. When using the ContMeasSet, however, the average decrease in accuracy between training and testing sets was 4.9 percent. The training and testing datasets and both sets of conditioning variables, however, indicate that the BN would substantially outperform a random assignment model, which would be expected to have a 20-percent correct classification rate. In addition, the edge structure of the BN depicts how information can flow through the network, which may help prioritize parameters for measurement to facilitate estimation of unmeasured parameters. Finally, extension of a static BN, like the one developed in this report, to a dynamic BN may provide a basis for using high-frequency or continuous water-quality data to extend information in time between discrete water-quality samples, and this integration could mitigate some of the limitations of high-frequency and discrete water-quality sampling methods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185053","collaboration":"National Water-Quality Program","usgsCitation":"Holtschlag, D.J., 2018, An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data: U.S. Geological Survey Scientific Investigations ReportDirector, Michigan Water Science Center
U.S. Geological Survey
6520 Mercantile Way, Suite 5
Lansing, MI 48911
Sarcoptic mange is a globally distributed disease caused by the burrowing mite Sarcoptes scabiei, which also causes scabies in humans. A wide and increasing number of wild mammal species are reported to be susceptible to mange; however, the impacts of the disease in wildlife populations, mechanisms involved in its eco-epidemiological dynamics, and risks to public and ecosystem health are still unclear. Major gaps exist concerning S. scabiei host specificity and the mechanisms involved in the different presentations of the disease, which change between individuals and species. Immunological responses to the mite may have a relevant role explaining these different susceptibilities, as these affect the clinical signs, and consequently, the severity of the disease. Recently, some studies have suggested sarcoptic mange as an emerging threat for wildlife, based on several outbreaks with increased severity, geographical expansions, and novel wild hosts affected. Disease ecology experts convened for the “International Meeting on Sarcoptic Mange in Wildlife” on 4–5 June 2018, hosted by the Department of Fish and Wildlife Conservation at Virginia Tech in Blacksburg, Virginia, USA. The meeting had a structure of (i) pre-workshop review; (ii) presentation and discussions; and (iii) identification of priority research questions to understand sarcoptic mange in wildlife. The workgroup concluded that research priorities should be on determining the variation in modes of transmission for S. scabiei in wildlife, factors associated with the variation of disease severity among species, and long-terms effects of the mange in wildlife populations. In this note we summarize the main discussions and research gaps identified by the experts.
","language":"English","publisher":"BMC","doi":"10.1186/s13071-018-3015-1","usgsCitation":"Astorga, F., Carver, S., Almberg, E.S., Sousa, G.R., Wingfield, K., Niedringhaus, K.D., Van Wick, P., Rossi, L., Xie, Y., Cross, P.C., Angelone, S., Gortazar, C., and Escobar, L.E., 2018, International meeting on sarcoptic mange in wildlife, June 2018, Blacksburg, Virginia, USA: Parasites & Vectors, v. 11, p. 1-10, https://doi.org/10.1186/s13071-018-3015-1.","productDescription":"Article 449; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-098880","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13071-018-3015-1","text":"Publisher Index Page"},{"id":356188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-03","publicationStatus":"PW","scienceBaseUri":"5b6fc3dfe4b0f5d57878e90f","contributors":{"authors":[{"text":"Astorga, Francisca","contributorId":206755,"corporation":false,"usgs":false,"family":"Astorga","given":"Francisca","email":"","affiliations":[{"id":37392,"text":"Department of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":741642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carver, Scott 0000-0002-3579-7588","orcid":"https://orcid.org/0000-0002-3579-7588","contributorId":197456,"corporation":false,"usgs":false,"family":"Carver","given":"Scott","email":"","affiliations":[],"preferred":false,"id":741644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Almberg, Emily S.","contributorId":198304,"corporation":false,"usgs":false,"family":"Almberg","given":"Emily","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":741645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sousa, Giovane R.","contributorId":206757,"corporation":false,"usgs":false,"family":"Sousa","given":"Giovane","email":"","middleInitial":"R.","affiliations":[{"id":37394,"text":"Division of Immunology, Harvard Medical School","active":true,"usgs":false}],"preferred":false,"id":741646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wingfield, Kimberly","contributorId":206762,"corporation":false,"usgs":false,"family":"Wingfield","given":"Kimberly","email":"","affiliations":[{"id":37398,"text":"Virginia-Maryland College of Veterinary Medicine, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":741651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Niedringhaus, Kevin D.","contributorId":206758,"corporation":false,"usgs":false,"family":"Niedringhaus","given":"Kevin","email":"","middleInitial":"D.","affiliations":[{"id":37395,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":741647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Wick, Peach","contributorId":206759,"corporation":false,"usgs":false,"family":"Van Wick","given":"Peach","email":"","affiliations":[{"id":37079,"text":"Wildlife Center of Virginia","active":true,"usgs":false}],"preferred":false,"id":741648,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rossi, Luca","contributorId":206760,"corporation":false,"usgs":false,"family":"Rossi","given":"Luca","email":"","affiliations":[{"id":37396,"text":"Università degli Studi di Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":741649,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xie, Yue","contributorId":206761,"corporation":false,"usgs":false,"family":"Xie","given":"Yue","email":"","affiliations":[{"id":37397,"text":"Department of Parasitology, College of Veterinary Medicine, Sichuan Agricultural University, China","active":true,"usgs":false}],"preferred":false,"id":741650,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":741641,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Angelone, Samer","contributorId":206763,"corporation":false,"usgs":false,"family":"Angelone","given":"Samer","email":"","affiliations":[{"id":37399,"text":"University of Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":741652,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gortazar, Christian 0000-0003-0012-4006","orcid":"https://orcid.org/0000-0003-0012-4006","contributorId":206756,"corporation":false,"usgs":false,"family":"Gortazar","given":"Christian","email":"","affiliations":[{"id":37393,"text":"Universidad de Castilla-La Mancha, Spain","active":true,"usgs":false}],"preferred":false,"id":741643,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Escobar, Luis E.","contributorId":178962,"corporation":false,"usgs":false,"family":"Escobar","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741653,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70198472,"text":"70198472 - 2018 - Pliocene erosional pulse and glacier-landscape feedbacks in the western Alaska Range","interactions":[],"lastModifiedDate":"2018-09-25T14:35:27","indexId":"70198472","displayToPublicDate":"2018-08-06T12:04:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Pliocene erosional pulse and glacier-landscape feedbacks in the western Alaska Range","docAbstract":"Pliocene–Pleistocene glaciation modified the topography and erosion of most middle- and high-latitude mountain belts, because the evolution of catchment topography controls long-term glacier mass balance and erosion. Hence, characterizing how erosion rates change during repeated glaciations can help test hypothesized glacier erosion-landscape feedbacks across a range of settings. To better understand how glaciations and landscapes coevolve on geologic timescales, I quantify erosion rates in the glaciated western Alaska Range with low-temperature thermochronometric data and modeling. Zircon (U–Th)/He and apatite fission track data suggest mountain-building was underway by the early Miocene. In contrast, lower-temperature apatite (U–Th)/He age-elevation and grain age-kinetic data indicate that erosion accelerated coincident with regional Pliocene glaciation ca. 4 Ma. Furthermore, erosion rates calculated within an eroding half-space indicate slow erosion at a rate ≤0.3 km/m.y. before 4.2 Ma, an initial pulse of rapid erosion at a rate of 1.0–1.6 km/m.y. during 4.2–2.9 Ma, and more moderate erosion at a rate of 0.4–0.7 km/m.y. since 2.9 Ma. The initial erosion pulse suggests a significant transient landscape adjustment to the introduction of efficient glacial erosion. The subsequent decrease in Pleistocene erosion rates is consistent with a negative feedback between continuing glaciation and glacier size/erosivity: If glacial erosion outpaces rock uplift, glacier erosion decreases over time as topography, mass balance, valley gradients, and ice flux are reduced. These findings imply that in areas of moderate rock uplift rates, the onset of local Plio–Pleistocene glaciation may have been punctuated by an initial pulse of rapid landscape change, after which change became more gradual.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.06.009","usgsCitation":"Lease, R.O., 2018, Pliocene erosional pulse and glacier-landscape feedbacks in the western Alaska Range: Earth and Planetary Science Letters, v. 497, p. 62-68, https://doi.org/10.1016/j.epsl.2018.06.009.","productDescription":"7 p.","startPage":"62","endPage":"68","ipdsId":"IP-080067","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":468520,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2018.06.009","text":"Publisher Index Page"},{"id":437800,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZNIHT7","text":"USGS data release","linkHelpText":"Low-Temperature Thermochronometric Data from the Revelation Mountains, Western Alaska Range, 2013-2018"},{"id":356187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.33,\n 61.33\n ],\n [\n -153.67,\n 61.33\n ],\n [\n -153.67,\n 61.83\n ],\n [\n -154.33,\n 61.83\n ],\n [\n -154.33,\n 61.33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"497","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3dfe4b0f5d57878e911","contributors":{"authors":[{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741561,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70198785,"text":"70198785 - 2018 - Lake levels in a discontinuous permafrost landscape: Late Holocene variations inferred from sediment oxygen isotopes, Yukon Flats, Alaska","interactions":[],"lastModifiedDate":"2018-08-24T11:44:58","indexId":"70198785","displayToPublicDate":"2018-08-03T16:34:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Lake levels in a discontinuous permafrost landscape: Late Holocene variations inferred from sediment oxygen isotopes, Yukon Flats, Alaska","docAbstract":"During recent decades, lake levels in the Yukon Flats region of interior Alaska have fluctuated dramatically. However, prior to recorded observations, no data are available to indicate if similar or more extreme variations occurred during past centuries and millennia. This study explores the history of Yukon Flats lake origins and lake levels for the past approximately 5,500 years from sediment analyses guided by previous work on permafrost extent, thermokarst, and modern isotope hydrology. Sediments dated by 210Pb and AMS radiocarbon indicate stable chronologies following initial lake initiation. Subsequent lithology is autochthonous, and oxygen isotope ratios of endogenic carbonate reflect lake level change at multiple time scales. Sediment results indicate high lake levels between approximately 4000 and 1850 cal yr BP, which is interpreted to reflect wetter-than-modern conditions. Lower lake levels with short-lived high stands during the past approximately 800 years reflect generally arid conditions with brief wet intervals similar to the region’s moisture regime today. The millennial trend is one of increasing aridity and corresponds closely with fire reconstructions and regional paleoclimatic trends. We conclude that high-magnitude lake-level fluctuations and decadal scale trends occurred before the observational period and are persistent hydroclimatic features of the Yukon Flats region.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2018.1496565","usgsCitation":"Anderson, L., Finney, B.P., and Shapley, M.D., 2018, Lake levels in a discontinuous permafrost landscape: Late Holocene variations inferred from sediment oxygen isotopes, Yukon Flats, Alaska: Arctic, Antarctic, and Alpine Research, v. 50, no. 1, e1496565; 27 p., https://doi.org/10.1080/15230430.2018.1496565.","productDescription":"e1496565; 27 p.","ipdsId":"IP-082065","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468522,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2018.1496565","text":"Publisher Index Page"},{"id":356634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150,\n 64.87825917194242\n ],\n [\n -142,\n 64.87825917194242\n ],\n [\n -142,\n 67.50523546529972\n ],\n [\n -150,\n 67.50523546529972\n ],\n [\n -150,\n 64.87825917194242\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-03","publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f53","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":742947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finney, Bruce P.","contributorId":199566,"corporation":false,"usgs":false,"family":"Finney","given":"Bruce","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":742948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shapley, Mark D.","contributorId":199569,"corporation":false,"usgs":false,"family":"Shapley","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":742949,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198294,"text":"ofr20181117 - 2018 - Granite IP network default route disappearance—Diagnosis and solution","interactions":[],"lastModifiedDate":"2018-08-06T11:15:09","indexId":"ofr20181117","displayToPublicDate":"2018-08-03T15:07:41","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1117","title":"Granite IP network default route disappearance—Diagnosis and solution","docAbstract":"The U.S. Geological Survey (USGS) National Strong Motion Project (NSMP) operates numerous strong-motion seismographs to monitor ground shaking and structural response caused by large, nearby earthquakes. This report describes a problem NSMP scientists encountered communicating over the Internet with several Kinemetrics, Inc., Granite strong-motion recorders.
The Granite strong-motion recorders (“Granites”) get into a state where they cannot be reached from the Internet and they cannot reach the Internet, yet they can reach and be reached from the local Ethernet subnet. The reason is that the Internet Protocol (IP) network default route has disappeared; only the local route is available. Diagnosis is complicated by the unpredictability of the circumstances leading to the failure. The failures have happened at several field sites but cannot be reproduced in the lab.
This report describes the IP networking behavior of a Granite system and provides modifications to the Granite Ethernet device drivers to send Ethernet link (carrier) state-change event notifications to the Linux kernel. With these modifications, the Linux netplugd daemon can be configured to properly reconfigure Granite IP networking when the Ethernet interface link state changes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181117","usgsCitation":"Baker, L.M., 2018, Granite IP network default route disappearance—Diagnosis and solution: U.S. Geological Survey Open-File Report 2018–1117, 35 p., https://doi.org/10.3133/ofr20181117.","productDescription":"Report: iv; 35 p.; Electronic Supplement","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078989","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":356156,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1117/coverthb.jpg"},{"id":356157,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1117/ofr20181117.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2018-1117"},{"id":356158,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2018/1117/ofr20181117_electronic_supplement.zip","text":"Electronic Supplement","size":"20 KB","linkFileType":{"id":6,"text":"zip"},"description":"Fact Sheet 2018-1117"}],"contact":"Contact Information, Menlo Park, Calif.
Office—Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025
Grassland birds are declining faster than any other bird guild across North America. Shrinking ranges and population declines are attributed to widespread habitat loss and increasingly fragmented landscapes of agriculture and other land uses that are misaligned with grassland bird conservation. Concurrent with habitat loss and degradation, temperate grasslands have been disproportionally affected by climate change relative to most other terrestrial biomes. Distributions of grassland birds often correlate with gradients in climate, but few researchers have explored the consequences of weather on the demography of grassland birds inhabiting a range of grassland fragments. To do so, we modeled the effects of temperature and precipitation on nesting success rates of 12 grassland bird species inhabiting a range of grassland patches across North America (21,000 nests from 81 individual studies). Higher amounts of precipitation in the preceding year were associated with higher nesting success, but wetter conditions during the active breeding season reduced nesting success. Extremely cold or hot conditions during the early breeding season were associated with lower rates of nesting success. The direct and indirect influence of temperature and precipitation on nesting success was moderated by grassland patch size. The positive effects of precipitation in the preceding year on nesting success were strongest in relatively small grassland patches and had little effect in large patches. Conversely, warm temperatures reduced nesting success in small grassland patches but increased nesting success in large patches. Mechanisms underlying these differences may be patch‐size‐induced variation in microclimates and predator activity. Although the exact cause is unclear, large grassland patches, the most common metric of grassland conservation, appears to moderate the effects of weather on grassland‐bird demography and could be an effective component of climate‐change adaptation.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13089","usgsCitation":"Zuckerberg, B., Ribic, C., and McCauley, L.A., 2018, Effects of temperature and precipitation on grassland bird nesting success as mediated by patch size: Conservation Biology, v. 32, no. 4, p. 872-882, https://doi.org/10.1111/cobi.13089.","productDescription":"11 p.","startPage":"872","endPage":"882","ipdsId":"IP-081860","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-25","publicationStatus":"PW","scienceBaseUri":"5b6fc3e6e4b0f5d57878e91b","contributors":{"authors":[{"text":"Zuckerberg, Benjamin","contributorId":200298,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":741562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":741365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCauley, Lisa A. lmccauley@usgs.gov","contributorId":5048,"corporation":false,"usgs":true,"family":"McCauley","given":"Lisa","email":"lmccauley@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":741563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198388,"text":"70198388 - 2018 - Sea‐level rise, habitat loss, and potential extirpation of a salt marsh specialist bird in urbanized landscapes","interactions":[],"lastModifiedDate":"2018-09-20T16:27:37","indexId":"70198388","displayToPublicDate":"2018-08-02T16:15:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Sea‐level rise, habitat loss, and potential extirpation of a salt marsh specialist bird in urbanized landscapes","docAbstract":"Sea‐level rise (SLR) impacts on intertidal habitat depend on coastal topology, accretion, and constraints from surrounding development. Such habitat changes might affect species like Belding's savannah sparrows (Passerculus sandwichensis beldingi; BSSP), which live in high‐elevation salt marsh in the Southern California Bight. To predict how BSSP habitat might change under various SLR scenarios, we first constructed a suitability model by matching bird observations with elevation. We then mapped current BSSP breeding and foraging habitat at six estuarine sites by applying the elevation‐suitability model to digital elevation models. To estimate changes in digital elevation models under different SLR scenarios, we used a site‐specific, one‐dimensional elevation model (wetland accretion rate model of ecosystem resilience). We then applied our elevation‐suitability model to the projected digital elevation models. The resulting maps suggest that suitable breeding and foraging habitat could decline as increased inundation converts middle‐ and high‐elevation suitable habitat to mudflat and subtidal zones. As a result, the highest SLR scenario predicted that no suitable breeding or foraging habitat would remain at any site by 2100 and 2110. Removing development constraints to facilitate landward migration of high salt marsh, or redistributing dredge spoils to replace submerged habitat, might create future high salt marsh habitat, thereby reducing extirpation risk for BSSP in southern California.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4196","usgsCitation":"Rosencranz, J., Thorne, K., Buffington, K., Takekawa, J.Y., Hechinger, R.F., Stewart, T.E., Ambrose, R.F., MacDonald, G.M., Holmgren, M.A., Crooks, J.A., Patton, R.T., and Lafferty, K.D., 2018, Sea‐level rise, habitat loss, and potential extirpation of a salt marsh specialist bird in urbanized landscapes: Ecology and Evolution, v. 8, no. 16, p. 8115-8125, https://doi.org/10.1002/ece3.4196.","productDescription":"11 p.","startPage":"8115","endPage":"8125","ipdsId":"IP-092761","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468524,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4196","text":"Publisher Index Page"},{"id":437801,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z728B","text":"USGS data release","linkHelpText":"Digital elevation model outputs from wetland accreting rate model of ecosystem resilience (WARMER) at ten year intervals from 2010-2110"},{"id":356120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"16","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-22","publicationStatus":"PW","scienceBaseUri":"5b6fc3e8e4b0f5d57878e921","contributors":{"authors":[{"text":"Rosencranz, Jordan 0000-0002-3947-900X","orcid":"https://orcid.org/0000-0002-3947-900X","contributorId":206631,"corporation":false,"usgs":true,"family":"Rosencranz","given":"Jordan","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hechinger, Ryan F.","contributorId":177653,"corporation":false,"usgs":false,"family":"Hechinger","given":"Ryan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":741328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Tara E.","contributorId":178694,"corporation":false,"usgs":false,"family":"Stewart","given":"Tara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ambrose, Richard F.","contributorId":174708,"corporation":false,"usgs":false,"family":"Ambrose","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":741330,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"MacDonald, Glen M.","contributorId":173294,"corporation":false,"usgs":false,"family":"MacDonald","given":"Glen","email":"","middleInitial":"M.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":741331,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holmgren, Mark A.","contributorId":206632,"corporation":false,"usgs":false,"family":"Holmgren","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":741332,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crooks, Jeff A.","contributorId":206633,"corporation":false,"usgs":false,"family":"Crooks","given":"Jeff","email":"","middleInitial":"A.","affiliations":[{"id":37361,"text":"Tijuana River National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":741333,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Patton, Robert T.","contributorId":195826,"corporation":false,"usgs":false,"family":"Patton","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":741334,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741325,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70198368,"text":"70198368 - 2018 - Extinction risk and conservation options for Maui Parrotbill, an endangered Hawaiian honeycreeper","interactions":[],"lastModifiedDate":"2019-02-11T15:16:33","indexId":"70198368","displayToPublicDate":"2018-08-02T15:06:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Extinction risk and conservation options for Maui Parrotbill, an endangered Hawaiian honeycreeper","docAbstract":"Extinction rates for island birds around the world have been historically high. For forest passerines, the Hawaiian archipelago has suffered some of the highest extinction rates and reintroduction is a conservation tool that can be used to prevent the extinction of some of the remaining endangered species. Population viability analyses can be used to assess risks to vulnerable populations and evaluate the relative benefits of conservation strategies. Here we present a population viability analysis to assess the long-term viability for Maui parrotbill(s) (Kiwikiu) Pseudonestor xanthophrys, a federally endangered passerine on the Hawaiian island of Maui. Contrary to indications from population monitoring, our results indicate Maui parrotbills may be unlikely to persist beyond 25 years. Our modeling suggests female mortality as a primary factor driving this decline. To evaluate and compare management options involving captive rearing and translocation strategies we made a female-only stage-structured, meta-population simulation model. Due to the low reproductive potential of Maui parrotbills in captivity, the number of individuals (~ 20% of the global population) needed to source a reintroduction solely from captive reared birds is unrealistic. A reintroduction strategy that incorporates a minimal contribution from captivity and instead translocates mostly wild individuals was found to be the most feasible management option. Habitat is being restored on leeward east Maui, which may provide more favorable climate and habitat conditions and promote increased reproductive output. Our model provides managers with benchmarks for fecundity and survival needed to ensure reintroduction success, and highlights the importance of establishing a new population in potentially favorable habitat to ensure long-term persistence.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/072017-JFWM-059","usgsCitation":"Mounce, H.L., Warren, C.C., McGowan, C., Paxton, E., and Groombridge, J., 2018, Extinction risk and conservation options for Maui Parrotbill, an endangered Hawaiian honeycreeper: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 367-382, https://doi.org/10.3996/072017-JFWM-059.","productDescription":"16 p.","startPage":"367","endPage":"382","ipdsId":"IP-064546","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/072017-jfwm-059","text":"Publisher Index Page"},{"id":356116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-09","publicationStatus":"PW","scienceBaseUri":"5b6fc3e8e4b0f5d57878e925","contributors":{"authors":[{"text":"Mounce, Hanna L.","contributorId":106004,"corporation":false,"usgs":true,"family":"Mounce","given":"Hanna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":741413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Christopher C.","contributorId":88011,"corporation":false,"usgs":true,"family":"Warren","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":741414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. cmcgowan@usgs.gov","contributorId":145496,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":741415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":741416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Groombridge, J.J.","contributorId":38369,"corporation":false,"usgs":true,"family":"Groombridge","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":741417,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199757,"text":"70199757 - 2018 - Factors influencing fine sediment on stream beds in the Midwestern United States","interactions":[],"lastModifiedDate":"2018-09-27T13:59:40","indexId":"70199757","displayToPublicDate":"2018-08-02T13:59:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing fine sediment on stream beds in the Midwestern United States","docAbstract":"Fine sediment (particles <2 mm in diameter) in stream beds has wide-ranging effects on hydraulics, geomorphology, and ecology and is a primary focus for stream quality management in many regions. We identify reach- and basin-scale factors associated with fine sediment in the beds of 83 stream reaches in the Midwestern United States using recursive partitioning of sand-bed and gravel-bed streams and a generalized linear model for the fraction of a stream bed covered by fine sediment. A water-surface gradient of 0.00075 is the best single determinant (80% correct classification) distinguishing sand-bed streams (lower gradient) from gravel-bed streams (higher gradient). In the higher gradient category, sand-bed streams generally had more variable monthly precipitation than gravel-bed streams. The fractional response model indicated that the proportion of a stream bed composed of fine sediment is related to high sediment supply and low transport capacity but also high gravel transport capacity. This result is consistent with both theory and observations that bed material can be transported indiscriminately with respect to particle size under high shear stress, which will drive the particle size distribution of bed material toward the distribution of supply. Management of fine sediment in Midwestern streams has been approached largely by focusing on sediment supply, which may be immutable in some places due to the landscape position or glacial history. Retention of coarse sediment is an alternative management approach to reduce the fraction of fine sediment in the beds of some Midwestern streams.
","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2018.02.0060","usgsCitation":"Konrad, C.P., and Gellis, A.C., 2018, Factors influencing fine sediment on stream beds in the Midwestern United States: Journal of Environmental Quality, v. 47, no. 5, p. 1214-1222, https://doi.org/10.2134/jeq2018.02.0060.","productDescription":"9 p.","startPage":"1214","endPage":"1222","ipdsId":"IP-084623","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":468526,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2018.02.0060","text":"Publisher Index Page"},{"id":357839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.7451171875,\n 36.59788913307022\n ],\n [\n -82.28759765625,\n 36.59788913307022\n ],\n [\n -82.28759765625,\n 45.36758436884978\n ],\n [\n -98.7451171875,\n 45.36758436884978\n ],\n [\n -98.7451171875,\n 36.59788913307022\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02fc0e4b0fc368eb53975","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746506,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198793,"text":"70198793 - 2018 - Improving understanding of soil organic matter dynamics by triangulating theories, measurements, and models","interactions":[],"lastModifiedDate":"2020-09-01T14:03:25.630002","indexId":"70198793","displayToPublicDate":"2018-08-01T16:48:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Improving understanding of soil organic matter dynamics by triangulating theories, measurements, and models","docAbstract":"Soil organic matter (SOM) turnover increasingly is conceptualized as a tension between accessibility to microorganisms and protection from decomposition via physical and chemical association with minerals in emerging soil biogeochemical theory. Yet, these components are missing from the original mathematical models of belowground carbon dynamics and remain underrepresented in more recent compartmental models that separate SOM into discrete pools with differing turnover times. Thus, a gap currently exists between the emergent understanding of SOM dynamics and our ability to improve terrestrial biogeochemical projections that rely on the existing models. In this opinion paper, we portray the SOM paradigm as a triangle composed of three nodes: conceptual theory, analytical measurement, and numerical models. In successful approaches, we contend that the nodes are connected—models capture the essential features of dominant theories while measurement tools generate data adequate to parameterize and evaluate the models—and balanced—models can inspire new theories via emergent behaviors, pushing empiricists to come up with new measurements. Many exciting advances recently pushed the boundaries on one or more nodes. However, newly integrated triangles have yet to coalesce. We conclude that our ability to incorporate mechanisms of microbial decomposition and physicochemical protection into predictions of SOM change is limited by current disconnections and imbalances among theory, measurement, and modeling. Opportunities to reintegrate the three components of the SOM paradigm exist by carefully considering their linkages and feedbacks at specific scales of observation.","language":"English","publisher":"Springer","doi":"10.1007/s10533-018-0478-2","usgsCitation":"Blankinship, J.C., Crow, S.E., Berhe, A.A., Druhan, J.L., Heckman, K.A., Keiluweit, M., Lawrence, C.R., Marin-Spiotta, E., Plante, A.F., Rasmussen, C., Schadel, C., Schmiel, J.P., Sierra, C.A., Thomson, A., Wagai, R., and Weider, W.R., 2018, Improving understanding of soil organic matter dynamics by triangulating theories, measurements, and models: Biogeochemistry, v. 140, no. 1, p. 1-13, https://doi.org/10.1007/s10533-018-0478-2.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-089660","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":356637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"140","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f55","contributors":{"authors":[{"text":"Blankinship, Joseph C.","contributorId":197908,"corporation":false,"usgs":false,"family":"Blankinship","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":34215,"text":"University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":742972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crow, Susan E.","contributorId":197920,"corporation":false,"usgs":false,"family":"Crow","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":742973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berhe, Asmeret Asefaw","contributorId":207164,"corporation":false,"usgs":false,"family":"Berhe","given":"Asmeret","email":"","middleInitial":"Asefaw","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":742974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Druhan, Jennifer L.","contributorId":207165,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":35161,"text":"University of Illinois, Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":742975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heckman, Katherine A.","contributorId":207166,"corporation":false,"usgs":false,"family":"Heckman","given":"Katherine","email":"","middleInitial":"A.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":742976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keiluweit, Marco","contributorId":197918,"corporation":false,"usgs":false,"family":"Keiluweit","given":"Marco","email":"","affiliations":[],"preferred":false,"id":742977,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawrence, Corey R. 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202390,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":742971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marin-Spiotta, Erika","contributorId":202383,"corporation":false,"usgs":false,"family":"Marin-Spiotta","given":"Erika","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":742978,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plante, Alain F.","contributorId":198719,"corporation":false,"usgs":false,"family":"Plante","given":"Alain","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":742979,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rasmussen, Craig","contributorId":139483,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Craig","email":"","affiliations":[],"preferred":false,"id":742980,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schadel, Christina","contributorId":202385,"corporation":false,"usgs":false,"family":"Schadel","given":"Christina","email":"","affiliations":[{"id":36405,"text":"University of Northern Arizona","active":true,"usgs":false}],"preferred":false,"id":742981,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schmiel, Joshua P.","contributorId":202386,"corporation":false,"usgs":false,"family":"Schmiel","given":"Joshua","email":"","middleInitial":"P.","affiliations":[{"id":28103,"text":"University of California - Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":742982,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sierra, Carlos A.","contributorId":207167,"corporation":false,"usgs":false,"family":"Sierra","given":"Carlos","email":"","middleInitial":"A.","affiliations":[{"id":37469,"text":"Max Plank Institute of Biogeochemistry, Jena Germany","active":true,"usgs":false}],"preferred":false,"id":742983,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thomson, Aaron","contributorId":207168,"corporation":false,"usgs":false,"family":"Thomson","given":"Aaron","email":"","affiliations":[{"id":37470,"text":"University of Georgia, Athens","active":true,"usgs":false}],"preferred":false,"id":742984,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wagai, Rota","contributorId":202389,"corporation":false,"usgs":false,"family":"Wagai","given":"Rota","email":"","affiliations":[{"id":36407,"text":"Institute for Agro-Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":742985,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Weider, William R.","contributorId":207169,"corporation":false,"usgs":false,"family":"Weider","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":37471,"text":"Institute for Arctic and Alpine Research, Boulder CO, USA","active":true,"usgs":false}],"preferred":false,"id":742986,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70201749,"text":"70201749 - 2018 - Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird","interactions":[],"lastModifiedDate":"2019-01-28T15:46:28","indexId":"70201749","displayToPublicDate":"2018-08-01T15:46:22","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird","docAbstract":"Anthropogenic alterations to landscape structure and composition can have significant impacts on biodiversity, potentially leading to species extinctions. Population‐level impacts of landscape change are mediated by animal behaviors, in particular dispersal behavior. Little is known about the dispersal habits of rails (Rallidae) due to their cryptic behavior and tendency to occupy densely vegetated habitats. The effects of landscape structure on the movement behavior of waterbirds in general are poorly studied due to their reputation for having high dispersal abilities. We used a landscape genetic approach to test hypotheses of landscape effects on dispersal behavior of the Hawaiian gallinule (Gallinula galeata sandvicensis), an endangered subspecies endemic to the Hawaiian Islands. We created a suite of alternative resistance surfaces representing biologically plausible a priori hypotheses of how gallinules might navigate the landscape matrix and ranked these surfaces by their ability to explain observed patterns in genetic distance among 12 populations on the island of O`ahu. We modeled effective distance among wetland locations on all surfaces using both cumulative least‐cost‐path and resistance‐distance approaches and evaluated relative model performance using Mantel tests, a causal modeling approach, and the mixed‐model maximum‐likelihood population‐effects framework. Across all genetic markers, simulation methods, and model comparison metrics, surfaces that treated linear water features like streams, ditches, and canals as corridors for gallinule movement outperformed all other models. This is the first landscape genetic study on the movement behavior of any waterbird species to our knowledge. Our results indicate that lotic water features, including drainage infrastructure previously thought to be of minimal habitat value, contribute to habitat connectivity in this listed subspecies.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4296","usgsCitation":"van Rees, C.B., Reed, J.M., Wilson, R.E., Underwood, J.G., and Sonsthagen, S.A., 2018, Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird: Ecology and Evolution, v. 8, no. 16, p. 8328-8343, https://doi.org/10.1002/ece3.4296.","productDescription":"16 p.","startPage":"8328","endPage":"8343","ipdsId":"IP-093331","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4296","text":"Publisher Index Page"},{"id":360770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai`i","otherGeospatial":"O`ahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.31024169921875,\n 21.215140254089395\n ],\n [\n -157.6263427734375,\n 21.215140254089395\n ],\n [\n -157.6263427734375,\n 21.746744749939243\n ],\n [\n -158.31024169921875,\n 21.746744749939243\n ],\n [\n -158.31024169921875,\n 21.215140254089395\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-24","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e823","contributors":{"authors":[{"text":"van Rees, Charles B.","contributorId":198604,"corporation":false,"usgs":false,"family":"van Rees","given":"Charles","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":755178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, J. Michael","contributorId":198605,"corporation":false,"usgs":false,"family":"Reed","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":755179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":755180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Underwood, Jared G.","contributorId":198606,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":755181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":755177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199027,"text":"70199027 - 2018 - Review and development of ASABE Engineering Practice 621: “Guidelines for calibrating, validating, and evaluating hydrologic and water quality models”","interactions":[],"lastModifiedDate":"2018-08-29T15:19:23","indexId":"70199027","displayToPublicDate":"2018-08-01T15:19:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"Review and development of ASABE Engineering Practice 621: “Guidelines for calibrating, validating, and evaluating hydrologic and water quality models”","docAbstract":"In 2010, the Natural Resources and Environmental Systems Hydrology Committee (NRES-21) of ASABE initiated a long-term process to develop guidelines to improve modeling practice through better understanding of the calibration, validation, and evaluation process across applications and more effective interpretation and communication of model performance. This effort generated a compilation of 23 articles with model-specific descriptions and guidance (2012), a position paper outlining guidance for evaluating, interpreting, and communicating performance of hydrologic and water quality models considering intended use (2014), and a compilation of ten articles addressing key topics related to model calibration and validation (2015). In 2016, the first draft of ASABE Engineering Practice 621 (EP621), “Guidelines for Calibrating, Validating, and Evaluating Hydrologic and Water Quality (H/WQ) Models,†was developed, subsequently revised, and ultimately approved by the ASABE Standards Committee in 2017. EP621 provides guidelines, not prescriptive requirements, and as such recommends “good†modeling practices to enhance calibration, validation, evaluation, and communication of H/WQ models through establishment of consistent terminology; model selection; compilation and processing of input data and calibration, validation, and evaluation data; determination of model performance measures; model parameterization and calibration; re-examination of input and calibration data and/or consideration of model refinement; re-evaluation of model performance; and documentation of modeling process and results. EP621 can be obtained from the ASABE Technical Library at https://elibrary.asabe.org/abstract.asp?aid=47804. The objectives of this technical note are to review the process and rationale used to develop EP621 and to briefly summarize its major components.
","language":"English","publisher":"American Society of Agricultural and Biological Engineers (ASABE)","doi":"10.13031/trans.12806","usgsCitation":"Harmel, R.D., Baffaut, C., and Douglas-Mankin, K.R., 2018, Review and development of ASABE Engineering Practice 621: “Guidelines for calibrating, validating, and evaluating hydrologic and water quality models”: Transactions of the ASABE, v. 61, no. 4, p. 1393-1401, https://doi.org/10.13031/trans.12806.","productDescription":"9 p.","startPage":"1393","endPage":"1401","ipdsId":"IP-094716","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":356927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f5b","contributors":{"authors":[{"text":"Harmel, R. Daren","contributorId":207419,"corporation":false,"usgs":false,"family":"Harmel","given":"R.","email":"","middleInitial":"Daren","affiliations":[{"id":37536,"text":"USDA-ARS Center for Agricultural Resources Research","active":true,"usgs":false}],"preferred":false,"id":743817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baffaut, Claire","contributorId":207420,"corporation":false,"usgs":false,"family":"Baffaut","given":"Claire","email":"","affiliations":[{"id":37537,"text":"USDA-ARS Cropping Systems and Water Quality Research Unit","active":true,"usgs":false}],"preferred":false,"id":743818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas-Mankin, Kyle R. 0000-0002-3155-3666","orcid":"https://orcid.org/0000-0002-3155-3666","contributorId":203927,"corporation":false,"usgs":true,"family":"Douglas-Mankin","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198515,"text":"70198515 - 2018 - Limits to ponderosa pine regeneration following large high-severity forest fires in the United States Southwest","interactions":[],"lastModifiedDate":"2019-10-28T09:29:07","indexId":"70198515","displayToPublicDate":"2018-08-01T14:57:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Limits to ponderosa pine regeneration following large high-severity forest fires in the United States Southwest","docAbstract":"High-severity fires in dry conifer forests of the United States Southwest have created large (>1000 ha) treeless areas that are unprecedented in the regional historical record. These fires have reset extensive portions of Southwestern ponderosa pine (Pinus ponderosa Lawson & C. Lawson var. scopulorum Engelm.) forest landscapes. At least two recovery options following high-severity fire are emerging. One option is for post-fire successional pathways to move toward a return to the pre-fire forest type. Alternatively, an area may transition to persistent non-forested ecosystems. We studied regeneration patterns of ponderosa pine following eight fires in Arizona and New Mexico, USA, that burned in dry conifer forests dominated by ponderosa pine during a recent 18-year regional drought period, 1996 to 2013. Our a priori hypotheses were: 1) the most xeric areas within these severely burned dry conifer forests are least likely to regenerate to the pre-fire forest type due to persistent post-fire moisture stress; and 2) areas farther away from conifer seed sources have a lower likelihood of regeneration, even if these areas are climatically favorable for post-fire ponderosa pine establishment. We evaluated our hypotheses using empirical data and generalized linear mixed-effects models. We found that low-elevation, xeric sites are more limiting to conifer regeneration than higher-elevation mesic sites. Areas >150 m from a seed source are much less likely to have ponderosa pine regeneration. Spatial interpolations of modeled post-fire regeneration of ponderosa pine across the study landscapes indicate expansive areas with low likelihood of pine regeneration following high-severity fire. We discuss multiple post-fire successional pathways following high-severity fire, including potentially stable transitions to non-forest vegetation types that may represent long-term type conversions. These findings regarding landscape changes in Southwest forests in response to fires and post-fire regeneration patterns during early-stage climate warming contribute to the development of better-informed ecosystem management strategies for forest adaptation or mitigation under projected hotter droughts in this region.
","language":"English","publisher":"Association for Fire Ecology","doi":"10.4996/fireecology.140114316","usgsCitation":"Haffey, C., Sisk, T.D., Allen, C.D., Thode, A.E., and Margolis, E.Q., 2018, Limits to ponderosa pine regeneration following large high-severity forest fires in the United States Southwest: Fire Ecology, v. 14, no. 1, p. 143-163, https://doi.org/10.4996/fireecology.140114316.","productDescription":"21 p.","startPage":"143","endPage":"163","ipdsId":"IP-095323","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.140114316","text":"Publisher Index Page"},{"id":356211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","volume":"14","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-01","publicationStatus":"PW","scienceBaseUri":"5b6fc3eae4b0f5d57878e933","contributors":{"authors":[{"text":"Haffey, Collin","contributorId":206779,"corporation":false,"usgs":false,"family":"Haffey","given":"Collin","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":741747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sisk, Thomas D.","contributorId":206780,"corporation":false,"usgs":false,"family":"Sisk","given":"Thomas","email":"","middleInitial":"D.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":741749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":741748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thode, Andrea E.","contributorId":189574,"corporation":false,"usgs":false,"family":"Thode","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":741746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198428,"text":"70198428 - 2018 - The influence of nutrients from carcasses of sea lamprey (Petromyzon marinus) on larval growth and spawner abundance","interactions":[],"lastModifiedDate":"2018-08-06T14:45:51","indexId":"70198428","displayToPublicDate":"2018-08-01T14:45:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1663,"text":"Fishery Bulletin","printIssn":"0090-0656","active":true,"publicationSubtype":{"id":10}},"title":"The influence of nutrients from carcasses of sea lamprey (Petromyzon marinus) on larval growth and spawner abundance","docAbstract":"Migrations of anadromous sea lamprey (Petromyzon marinus) from marine ecosystems serve as vectors of nutrients into freshwater food webs. Larval sea lamprey reside in streams for 6–8 years as deposit feeders before metamorphosing into juveniles and migrating to the ocean. Previous work has shown that carcass nutrients, which result from the death of adult lamprey after spawning, increase stream productivity and are consumed by larvae. This may increase larval growth rates and enhance earlier metamorphosis. We examined the sensitivity of life-history parameters and influence of nutrients from carcasses of sea lamprey on the age and growth of larval conspecifics with a deterministic stock-recruitment model. We hypothesized that variability in growth among larval populations is productivity mediated and we compared modeled populations in which larvae receive added growth benefits from carcass nutrients with populations that do not. The results of our simulation indicate that increases in larval growth and lower age at metamorphosis over time lead to an increase in spawner abundance. Increased growth rates may also improve fitness and bolster subsequent spawning stocks. Our research characterized 2 potential ecosystem states, one in which larval sea lamprey benefit from adult conspecifics and another in which the larvae do not.
","language":"English","publisher":"National Marine Fisheries Service","doi":"10.7755/FB.116.2.3","usgsCitation":"Weaver, D.M., Coghlan, S.M., and Zydlewski, J.D., 2018, The influence of nutrients from carcasses of sea lamprey (Petromyzon marinus) on larval growth and spawner abundance: Fishery Bulletin, v. 116, no. 2, p. 142-152, https://doi.org/10.7755/FB.116.2.3.","productDescription":"11 p.","startPage":"142","endPage":"152","ipdsId":"IP-087199","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7755/fb.116.2.3","text":"Publisher Index Page"},{"id":356206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-02","publicationStatus":"PW","scienceBaseUri":"5b6fc3ebe4b0f5d57878e935","contributors":{"authors":[{"text":"Weaver, Daniel M.","contributorId":145786,"corporation":false,"usgs":false,"family":"Weaver","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":741397,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199377,"text":"70199377 - 2018 - Drivers and mechanisms of tree mortality in moist tropical forests","interactions":[],"lastModifiedDate":"2018-09-17T14:15:50","indexId":"70199377","displayToPublicDate":"2018-08-01T14:15:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Drivers and mechanisms of tree mortality in moist tropical forests","docAbstract":"Tree mortality rates appear to be increasing in moist tropical forests (MTFs) with significant carbon cycle consequences. Here, we review the state of knowledge regarding MTF tree mortality, create a conceptual framework with testable hypotheses regarding the drivers, mechanisms and interactions that may underlie increasing MTF mortality rates, and identify the next steps for improved understanding and reduced prediction. Increasing mortality rates are associated with rising temperature and vapor pressure deficit, liana abundance, drought, wind events, fire and, possibly, CO2 fertilization‐induced increases in stand thinning or acceleration of trees reaching larger, more vulnerable heights. The majority of these mortality drivers may kill trees in part through carbon starvation and hydraulic failure. The relative importance of each driver is unknown. High species diversity may buffer MTFs against large‐scale mortality events, but recent and expected trends in mortality drivers give reason for concern regarding increasing mortality within MTFs. Models of tropical tree mortality are advancing the representation of hydraulics, carbon and demography, but require more empirical knowledge regarding the most common drivers and their subsequent mechanisms. We outline critical datasets and model developments required to test hypotheses regarding the underlying causes of increasing MTF mortality rates, and improve prediction of future mortality under climate change.
","language":"English","publisher":"New Phytologist Trust","doi":"10.1111/nph.15027","usgsCitation":"McDowell, N.G., Allen, C.D., Anderson‐Teixeira, K., Brando, P.M., Brienen, R., Chambers, J., Christoffersen, B., Davies, S.J., Doughty, C., Duque, A., Espirito-Santo, F., Fisher, R.A., Fontes, C.G., Galbraith, D., Goodsman, D., Grossiord, C., Hartmann, H., Holm, J., Johnson, D., Kassim, A.R., Keller, M., Koven, C., Kueppers, L., Kumagai, T., Malhi, Y., McMahon, S.M., Mencuccini, M., Meir, P., Moorcroft, P.R., Muller-Landau, H.C., Phillips, O.L., Powell, T.M., Sierra, C.A., Sperry, J., Warren, J., Xu, C., and Xu, X., 2018, Drivers and mechanisms of tree mortality in moist tropical forests: New Phytologist, v. 219, no. 3, p. 851-869, https://doi.org/10.1111/nph.15027.","productDescription":"19 p.","startPage":"851","endPage":"869","ipdsId":"IP-092340","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.15027","text":"Publisher Index Page"},{"id":357405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"219","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-16","publicationStatus":"PW","scienceBaseUri":"5bc02fc1e4b0fc368eb53977","contributors":{"authors":[{"text":"McDowell, Nate G.","contributorId":207743,"corporation":false,"usgs":false,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[{"id":37622,"text":"Earth Systems Science Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":745098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":745099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson‐Teixeira, Kristina","contributorId":207899,"corporation":false,"usgs":false,"family":"Anderson‐Teixeira","given":"Kristina","affiliations":[{"id":37654,"text":"Center for Tropical Forest Science-Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington DC, USA","active":true,"usgs":false}],"preferred":false,"id":745101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brando, Paulo M.","contributorId":167252,"corporation":false,"usgs":false,"family":"Brando","given":"Paulo","email":"","middleInitial":"M.","affiliations":[{"id":24662,"text":"IPAM, Brazil and Stanford Univ.","active":true,"usgs":false}],"preferred":false,"id":745102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brienen, Roel","contributorId":207925,"corporation":false,"usgs":false,"family":"Brienen","given":"Roel","affiliations":[],"preferred":false,"id":745225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chambers, Jeff","contributorId":207926,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":745226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christoffersen, Brad","contributorId":207927,"corporation":false,"usgs":false,"family":"Christoffersen","given":"Brad","email":"","affiliations":[],"preferred":false,"id":745227,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Davies, Stuart J.","contributorId":197819,"corporation":false,"usgs":false,"family":"Davies","given":"Stuart","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":745228,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Doughty, Chris","contributorId":207928,"corporation":false,"usgs":false,"family":"Doughty","given":"Chris","email":"","affiliations":[],"preferred":false,"id":745229,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duque, Alvaro","contributorId":207929,"corporation":false,"usgs":false,"family":"Duque","given":"Alvaro","email":"","affiliations":[],"preferred":false,"id":745230,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Espirito-Santo, Fernando","contributorId":207930,"corporation":false,"usgs":false,"family":"Espirito-Santo","given":"Fernando","email":"","affiliations":[],"preferred":false,"id":745231,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fisher, Rosie A.","contributorId":147090,"corporation":false,"usgs":false,"family":"Fisher","given":"Rosie","email":"","middleInitial":"A.","affiliations":[{"id":16785,"text":"National Center for Atmospheric Research, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":745232,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fontes, Clarissa G.","contributorId":207931,"corporation":false,"usgs":false,"family":"Fontes","given":"Clarissa","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":745233,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Galbraith, David","contributorId":19479,"corporation":false,"usgs":true,"family":"Galbraith","given":"David","affiliations":[],"preferred":false,"id":745234,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Goodsman, Devin","contributorId":207932,"corporation":false,"usgs":false,"family":"Goodsman","given":"Devin","email":"","affiliations":[],"preferred":false,"id":745235,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Grossiord, Charlotte","contributorId":207749,"corporation":false,"usgs":false,"family":"Grossiord","given":"Charlotte","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":745236,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hartmann, Henrik","contributorId":181974,"corporation":false,"usgs":false,"family":"Hartmann","given":"Henrik","email":"","affiliations":[],"preferred":false,"id":745237,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Holm, Jennifer","contributorId":207933,"corporation":false,"usgs":false,"family":"Holm","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":745238,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Johnson, Daniel J.","contributorId":71970,"corporation":false,"usgs":true,"family":"Johnson","given":"Daniel J.","affiliations":[],"preferred":false,"id":745239,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kassim, Abd. Rahman","contributorId":207934,"corporation":false,"usgs":false,"family":"Kassim","given":"Abd.","email":"","middleInitial":"Rahman","affiliations":[],"preferred":false,"id":745240,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Keller, Michael","contributorId":42681,"corporation":false,"usgs":true,"family":"Keller","given":"Michael","email":"","affiliations":[],"preferred":false,"id":745253,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Koven, Charles","contributorId":51143,"corporation":false,"usgs":true,"family":"Koven","given":"Charles","affiliations":[],"preferred":false,"id":745254,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Kueppers, Lara","contributorId":149403,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","affiliations":[],"preferred":false,"id":745255,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Kumagai, Tomo’omi","contributorId":207935,"corporation":false,"usgs":false,"family":"Kumagai","given":"Tomo’omi","email":"","affiliations":[],"preferred":false,"id":745256,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Malhi, Yadvinder","contributorId":207936,"corporation":false,"usgs":false,"family":"Malhi","given":"Yadvinder","email":"","affiliations":[],"preferred":false,"id":745257,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"McMahon, Sean M. 0000-0001-8302-6908","orcid":"https://orcid.org/0000-0001-8302-6908","contributorId":197833,"corporation":false,"usgs":false,"family":"McMahon","given":"Sean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":745258,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Mencuccini, Maurizio","contributorId":199454,"corporation":false,"usgs":false,"family":"Mencuccini","given":"Maurizio","email":"","affiliations":[],"preferred":false,"id":745259,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Meir, Patrick","contributorId":207937,"corporation":false,"usgs":false,"family":"Meir","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":745260,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Moorcroft, Paul R.","contributorId":198134,"corporation":false,"usgs":false,"family":"Moorcroft","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":745261,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Muller-Landau, Helene C.","contributorId":207938,"corporation":false,"usgs":false,"family":"Muller-Landau","given":"Helene","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":745262,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Phillips, Oliver L.","contributorId":41960,"corporation":false,"usgs":true,"family":"Phillips","given":"Oliver","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":745263,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Powell, Thomas M.","contributorId":173317,"corporation":false,"usgs":false,"family":"Powell","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":745264,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Sierra, Carlos A.","contributorId":207167,"corporation":false,"usgs":false,"family":"Sierra","given":"Carlos","email":"","middleInitial":"A.","affiliations":[{"id":37469,"text":"Max Plank Institute of Biogeochemistry, Jena Germany","active":true,"usgs":false}],"preferred":false,"id":745265,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Sperry, John","contributorId":174383,"corporation":false,"usgs":false,"family":"Sperry","given":"John","affiliations":[],"preferred":false,"id":745266,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Warren, Jeff","contributorId":207943,"corporation":false,"usgs":false,"family":"Warren","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":745267,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Xu, Chonggang","contributorId":207944,"corporation":false,"usgs":false,"family":"Xu","given":"Chonggang","email":"","affiliations":[],"preferred":false,"id":745268,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Xu, Xiangtao","contributorId":207945,"corporation":false,"usgs":false,"family":"Xu","given":"Xiangtao","email":"","affiliations":[],"preferred":false,"id":745269,"contributorType":{"id":1,"text":"Authors"},"rank":37}]}} ,{"id":70198677,"text":"70198677 - 2018 - Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica","interactions":[],"lastModifiedDate":"2018-08-15T13:58:06","indexId":"70198677","displayToPublicDate":"2018-08-01T13:57:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2619,"text":"Limnetica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica","title":"Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica","docAbstract":"El presente trabajo analiza la capacidad voluntaria de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864) en un canal abierto durante su época de migración, relacionándola con factores ambientales y biométricos. La temperatura del agua, la velocidad de flujo y la longitud del pez fueron los factores de mayor importancia que condicionaron la velocidad de nado de los barbos y su tiempo de fatiga. Dentro del rango de valores estudiado, el barbo ibérico pudo mantener velocidades de nado en sprint (> 15 BL/s) durante 3-10 s, y de 17-117 s en el modo de natación prolongada (7-15 BL/s). Los resultados aportados pueden ser empleados como una herramienta útil para la gestión de sus poblaciones, principalmente para el diseño de pasos para peces.
This paper analyzes the volitional swimming capacity of the Iberian barbel (Luciobarbus bocagei Steindachner, 1864) in an open flume during its migration period, in relation to environmental and biometric factors. Water temperature, flow velocity and fish length were the most important factors which affected the swimming speed of barbels and their fatigue time. Within the range of values studied, the Iberian barbel was able to maintain sprint swim speeds (> 15 BL/s) for 3-10 s, and 17-117 s in prolonged swim mode (7-15 BL/s). The results can be used as a tool for the management of barbel populations, mainly in the design of fishways.
","language":"Spanish","publisher":"Asociación Ibérica de Limnología","doi":"10.23818/limn.37.21","usgsCitation":"Ruiz-Legazpi, J., Sanz-Ronda, F., Bravo-Cordoba, F., Fuentes-Perez, J., and Castro-Santos, T.R., 2018, Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica: Limnetica, v. 37, no. 2, p. 251-265, https://doi.org/10.23818/limn.37.21.","productDescription":"15 p.","startPage":"251","endPage":"265","ipdsId":"IP-091479","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468536,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.23818/limn.37.21","text":"Publisher Index Page"},{"id":356518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-15","publicationStatus":"PW","scienceBaseUri":"5b98a294e4b0702d0e842f63","contributors":{"authors":[{"text":"Ruiz-Legazpi, Jorge","contributorId":207045,"corporation":false,"usgs":false,"family":"Ruiz-Legazpi","given":"Jorge","email":"","affiliations":[{"id":37437,"text":"Universidad de Valladolid","active":true,"usgs":false}],"preferred":false,"id":742527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanz-Ronda, F.J.","contributorId":207046,"corporation":false,"usgs":false,"family":"Sanz-Ronda","given":"F.J.","email":"","affiliations":[{"id":37437,"text":"Universidad de Valladolid","active":true,"usgs":false}],"preferred":false,"id":742528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bravo-Cordoba, F.J.","contributorId":168520,"corporation":false,"usgs":false,"family":"Bravo-Cordoba","given":"F.J.","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":742529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuentes-Perez, J.F.","contributorId":168521,"corporation":false,"usgs":false,"family":"Fuentes-Perez","given":"J.F.","email":"","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":742530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":742526,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200453,"text":"70200453 - 2018 - Climate change and future wildfire in the western USA: An ecological approach to nonstationarity","interactions":[],"lastModifiedDate":"2018-10-18T13:51:09","indexId":"70200453","displayToPublicDate":"2018-08-01T13:50:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and future wildfire in the western USA: An ecological approach to nonstationarity","docAbstract":"We developed ecologically based climate‐fire projections for the western United States. Using a finer ecological classification and fire‐relevant climate predictors, we created statistical models linking climate and wildfire area burned for ecosections, which are geographic delineations based on biophysical variables. The results indicate a gradient from purely fuel‐limited (antecedent positive water balance anomalies or negative energy balance anomalies) to purely flammability‐limited (negative water balance anomalies or positive energy balance anomalies) fire regimes across ecosections. Although there are other influences (such as human ignitions and management) on fire occurrence and area burned, seasonal climate significantly explains interannual fire area burned. Differences in the role of climate across ecosections are not random, and the relative dominance of climate predictors allows objective classification of ecosection climate‐fire relationships. Expected future trends in area burned range from massive increases, primarily in flammability limited systems near the middle of the water balance deficit distribution, to substantial decreases, in fuel‐limited nonforested systems. We predict increasing area burned in most flammability‐limited systems but predict decreasing area burned in primarily fuel‐limited systems with a flammability‐limited (“hybrid”) component. Compared to 2030–2059 (2040s), projected area burned for 2070–2099 (2080s) increases much more in the flammability and flammability‐dominated hybrid systems than those with equal control and continues to decrease in fuel‐limited hybrid systems. Exceedance probabilities for historical 95th percentile fire years are larger in exclusively flammability‐limited ecosections than in those with fuel controls. Filtering the projected results using a fire‐rotation constraint minimizes overprojection due to static vegetation assumptions, making projections more conservative.
","language":"English","publisher":"AGU","doi":"10.1029/2018EF000878","usgsCitation":"Littell, J.S., McKenzie, D., Wan, H.Y., and Cushman, S.A., 2018, Climate change and future wildfire in the western USA: An ecological approach to nonstationarity: Earth's Future, v. 6, no. 8, p. 1097-1111, https://doi.org/10.1029/2018EF000878.","productDescription":"15 p.","startPage":"1097","endPage":"1111","ipdsId":"IP-097140","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":468537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018ef000878","text":"Publisher Index Page"},{"id":358539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA \"}}]}","volume":"6","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-18","publicationStatus":"PW","scienceBaseUri":"5c10a970e4b034bf6a7e51ca","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenzie, Donald","contributorId":181509,"corporation":false,"usgs":false,"family":"McKenzie","given":"Donald","affiliations":[],"preferred":false,"id":748943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wan, Ho Yi","contributorId":209843,"corporation":false,"usgs":false,"family":"Wan","given":"Ho","email":"","middleInitial":"Yi","affiliations":[{"id":38007,"text":"3Northern Arizona University, School of Earth Sciences and Environmental Sustainability","active":true,"usgs":false}],"preferred":false,"id":748944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cushman, Samuel A.","contributorId":209844,"corporation":false,"usgs":false,"family":"Cushman","given":"Samuel","email":"","middleInitial":"A.","affiliations":[{"id":38008,"text":"US Department of Agriculture Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":748945,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199940,"text":"70199940 - 2018 - Assessing and communicating the impacts of climate change on the Southern California coast","interactions":[],"lastModifiedDate":"2018-10-18T10:19:23","indexId":"70199940","displayToPublicDate":"2018-08-01T13:48:53","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesNumber":"CCCA4-CNRA-2018-013","title":"Assessing and communicating the impacts of climate change on the Southern California coast","docAbstract":"Over the course of this and the next century, the combination of rising sea levels, severe storms, and coastal erosion will threaten the sustainability of coastal communities, development, and ecosystems as we currently know them. To clearly identify coastal vulnerabilities and develop appropriate adaptation strategies for projected increased levels of coastal flooding and erosion, coastal managers need user-friendly planning tools based on the best available climate and coastal science. In anticipation of these climate change impacts, many communities are in the early stages of climate change adaptation planning but lack the scientific information and tools to adequately address the potential impacts. In collaboration with leading scientists worldwide, the USGS designed the Coastal Storm Modeling System (CoSMoS) to assess the coastal impacts of climate change for the California coast, including the combination of sea level rise, storms, and coastal change. In this project, we directly address the needs of coastal resource managers in Southern California by integrating a vast range of global climate change projections and translate that information using sophisticated physical process models into planning-scale physical, ecological, and economic exposure, shoreline change, and impact assessments, all delivered in two simple, user-friendly, online tools. Our results show that by the end of the 21st century, over 250,000 residents and nearly $40 billion in building value across Southern California could be exposed to coastal flooding from storms, sea level rise, and coastal change. Results for the other major population center in California (the greater San Francisco Bay Area) are also available but not explicitly discussed in this report. Together, CoSMoS has now assessed the exposure of 95% of the 26 million coastal residents of the State (17 million in Southern California).
","language":"English","publisher":"California Natural Resources Agency","usgsCitation":"Erikson, L.H., Barnard, P., O'Neill, A., Limber, P., Vitousek, S., Finzi Hart, J., Hayden, M., Jones, J.M., Wood, N.J., Fitzgibbon, M., Foxgrover, A.C., and Lovering, J., 2018, Assessing and communicating the impacts of climate change on the Southern California coast, vi, 65 p.","productDescription":"vi, 65 p.","numberOfPages":"76","ipdsId":"IP-099673","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":358490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358489,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.climateassessment.ca.gov/techreports/docs/20180827-Ocean_CCCA4-CNRA-2018-013.pdf"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.7781982421875,\n 32.537551746769\n ],\n [\n -117.02636718749999,\n 32.537551746769\n ],\n [\n -117.02636718749999,\n 34.67387626588273\n ],\n [\n -120.7781982421875,\n 34.67387626588273\n ],\n [\n -120.7781982421875,\n 32.537551746769\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a970e4b034bf6a7e51cc","contributors":{"authors":[{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Limber, Patrick 0000-0002-8207-3750","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":208487,"corporation":false,"usgs":false,"family":"Limber","given":"Patrick","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":747396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitousek, Sean","contributorId":190192,"corporation":false,"usgs":false,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":747397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finzi Hart, Juliette 0000-0003-3179-2699","orcid":"https://orcid.org/0000-0003-3179-2699","contributorId":206104,"corporation":false,"usgs":true,"family":"Finzi Hart","given":"Juliette","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Maya","contributorId":206106,"corporation":false,"usgs":false,"family":"Hayden","given":"Maya","affiliations":[{"id":37247,"text":"Point Blue Conservation","active":true,"usgs":false}],"preferred":false,"id":747399,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":747400,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":747401,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fitzgibbon, Michael","contributorId":206105,"corporation":false,"usgs":false,"family":"Fitzgibbon","given":"Michael","email":"","affiliations":[{"id":37247,"text":"Point Blue Conservation","active":true,"usgs":false}],"preferred":false,"id":747402,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747403,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lovering, Jessica 0000-0002-0705-9633","orcid":"https://orcid.org/0000-0002-0705-9633","contributorId":204726,"corporation":false,"usgs":true,"family":"Lovering","given":"Jessica","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747404,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ]}