{"pageNumber":"570","pageRowStart":"14225","pageSize":"25","recordCount":165309,"records":[{"id":70215055,"text":"70215055 - 2020 - Hillslopes in humid-tropical climates aren’t always wet: Implications for hydrologic response and landslide initiation in Puerto Rico, USA","interactions":[],"lastModifiedDate":"2020-10-07T12:14:54.550159","indexId":"70215055","displayToPublicDate":"2020-08-17T17:11:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hillslopes in humid-tropical climates aren’t always wet: Implications for hydrologic response and landslide initiation in Puerto Rico, USA","docAbstract":"

The devastating impacts of the widespread flooding and landsliding in Puerto Rico following the September 2017 landfall of Hurricane Maria highlight the increasingly extreme atmospheric disturbances and enhanced hazard potential in mountainous humid‐tropical climate zones. Long‐standing conceptual models for hydrologically driven hazards in Puerto Rico posit that hillslope soils remain wet throughout the year, and therefore, that antecedent soil wetness imposes a negligible effect on hazard potential. Our post‐Maria in situ hillslope hydrologic observations, however, indicate that while some slopes remain wet throughout the year, others exhibit appreciable seasonal and intra‐storm subsurface drainage. Therefore, we evaluated the performance of hydro‐meteorological (soil wetness and rainfall) versus intensity‐duration (rainfall only) hillslope hydrologic response thresholds that identify the onset of positive pore‐water pressure, a predisposing factor for widespread slope instability in this region. Our analyses also consider the role of soil‐water storage and infiltration rates on runoff generation, which are relevant factors for flooding hazards. We found that the hydro‐meteorological thresholds outperformed intensity‐duration thresholds for a seasonally wet, coarse‐grained soil, although they did not outperform intensity‐duration thresholds for a perennially wet, fine‐grained soil. These end‐member soils types may also produce radically different stormflow responses, with subsurface flow being more common for the coarse‐grained soils underlain by intrusive rocks versus infiltration excess and/or saturation excess for the fine‐grained soils underlain by volcaniclastic rocks. We conclude that variability in soil‐hydraulic properties, as opposed to climate zone, is the dominant factor that controls runoff generation mechanisms and modulates the relative importance of antecedent soil wetness for our hillslope hydrologic response thresholds.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13885","usgsCitation":"Thomas, M.A., Mirus, B.B., and Smith, J., 2020, Hillslopes in humid-tropical climates aren’t always wet: Implications for hydrologic response and landslide initiation in Puerto Rico, USA: Hydrological Processes, v. 34, no. 22, p. 4307-4318, https://doi.org/10.1002/hyp.13885.","productDescription":"Article: 12 p.; Data Release","startPage":"4307","endPage":"4318","ipdsId":"IP-120135","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":455618,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13885","text":"Publisher Index Page"},{"id":379147,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9548YK2"},{"id":379148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto 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Rico\",\"nation\":\"USA \"}}]}","volume":"34","issue":"22","noUsgsAuthors":false,"publicationDate":"2020-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Matthew A. 0000-0002-9828-5539 matthewthomas@usgs.gov","orcid":"https://orcid.org/0000-0002-9828-5539","contributorId":200616,"corporation":false,"usgs":true,"family":"Thomas","given":"Matthew","email":"matthewthomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":800660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":800661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joel B. 0000-0001-7219-7875","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":242670,"corporation":false,"usgs":false,"family":"Smith","given":"Joel B.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":800662,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228621,"text":"70228621 - 2020 - Diets of Longnose Sucker in Yellowstone Lake, Yellowstone National Park, U.S.A.","interactions":[],"lastModifiedDate":"2022-02-16T12:16:00.47862","indexId":"70228621","displayToPublicDate":"2020-08-17T11:51:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Diets of Longnose Sucker in Yellowstone Lake, Yellowstone National Park, U.S.A.","docAbstract":"

Invasive species introduction and expansion is the second greatest threat to global biodiversity decline after habitat degradation. Introduced in the 1930s, the benthivorous Longnose Sucker (Catostomus catostomus) became established in Yellowstone Lake, Wyoming, USA, and used tributary streams for spawning. With this introduction, concerns were raised regarding their possible competition for food resources with native adfluvial Yellowstone Cutthroat Trout (Oncorhynchus clarkii bouvieri). Additionally, insufficient literature exists on Longnose Sucker feeding habits throughout their range, and there has been no comprehensive study of Longnose Sucker diet in Yellowstone Lake. The need exists for understanding the community ecology and food web dynamics in Yellowstone Lake, especially as non-native Lake Trout (Salvelinus namaycush) have caused declines in Yellowstone Cutthroat Trout through predation. The objectives of this study were to examine possible size-specific shifts in feeding habits, evaluate feeding strategy, and compare historical and contemporary diet data of Longnose Suckers in Yellowstone Lake. Diet data collected during summer of 2018 were analyzed by length-class to test for size-specific diet shifts. As Longnose Sucker length increased, copepods (Diacyclops bicuspidatus thomasi, Leptodiaptomus ashlandi or Hesperodiaptomus shoshone) decreased in proportion by weight. In contrast, dipterans (Chironomidae) and amphipods (Hyalella spp. or Gammarus spp.) varied in proportion by weight in the diet across length classes. We assessed the feeding strategy by evaluating the relationship between prey-specific abundance and percent frequency of occurrence. This assessment indicates that Longnose Suckers have a heterogeneous diet and generalized feeding strategy as all prey items had a prey-specific abundance value of <50%. Diet composition differed significantly between historical and contemporary samples, likely related to the differences in sampling locations and possibly due to a Lake Trout-induced trophic cascade. This study established the diet composition and feeding habits of Longnose Suckers residing in Yellowstone Lake, thus, expanding our knowledge of Longnose Sucker feeding patterns and ecology.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2020.1807421","usgsCitation":"Furey, K.M., Glassic, H., Guy, C.S., Koel, T., Arnold, J.L., Doepke, P., and Bigelow, P., 2020, Diets of Longnose Sucker in Yellowstone Lake, Yellowstone National Park, U.S.A.: Journal of Freshwater Ecology, v. 35, no. 1, p. 291-303, https://doi.org/10.1080/02705060.2020.1807421.","productDescription":"13 p.","startPage":"291","endPage":"303","ipdsId":"IP-118728","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":455620,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2020.1807421","text":"Publisher Index Page"},{"id":395973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.5938720703125,\n 44.23929609118664\n ],\n [\n -110.2,\n 44.23929609118664\n ],\n [\n -110.2,\n 44.59633476144439\n ],\n [\n -110.5938720703125,\n 44.59633476144439\n ],\n [\n -110.5938720703125,\n 44.23929609118664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Furey, Kaitlyn M.","contributorId":278612,"corporation":false,"usgs":false,"family":"Furey","given":"Kaitlyn","email":"","middleInitial":"M.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":834857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glassic, Hayley C.","contributorId":278613,"corporation":false,"usgs":false,"family":"Glassic","given":"Hayley C.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":834858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koel, Todd M.","contributorId":278608,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arnold, Jeffrey L.","contributorId":278609,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doepke, Philip D.","contributorId":278610,"corporation":false,"usgs":false,"family":"Doepke","given":"Philip D.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834854,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bigelow, Patricia E.","contributorId":278611,"corporation":false,"usgs":false,"family":"Bigelow","given":"Patricia E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834855,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70212542,"text":"70212542 - 2020 - Increasing threat of coastal groundwater hazards from sea-level rise in California","interactions":[],"lastModifiedDate":"2023-03-27T17:14:24.747405","indexId":"70212542","displayToPublicDate":"2020-08-17T10:18:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Increasing threat of coastal groundwater hazards from sea-level rise in California","docAbstract":"

Projected sea-level rise will raise coastal water tables, resulting in groundwater hazards that threaten shallow infrastructure and coastal ecosystem resilience. Here we model a range of sea-level rise scenarios to assess the responses of water tables across the diverse topography and climates of the California coast. With 1 m of sea-level rise, areas flooded from below are predicted to expand ~50–130 m inland, and low-lying coastal communities such as those around San Francisco Bay are most at risk. Coastal topography is a controlling factor; long-term rising water tables will intercept low-elevation drainage features, allowing for groundwater discharge that damps the extent of shoaling in ~70% (68.9–82.2%) of California’s coastal water tables. Ignoring these topography-limited responses increases flooded-area forecasts by ~20% and substantially underestimates saltwater intrusion. All scenarios estimate that areas with shallow coastal water tables will shrink as they are inundated by overland flooding or are topographically limited from rising inland. 

","language":"English","publisher":"Nature","doi":"10.1038/s41558-020-0874-1","usgsCitation":"Befus, K., Barnard, P., Hoover, D.J., Finzi Hart, J., and Voss, C.I., 2020, Increasing threat of coastal groundwater hazards from sea-level rise in California: Nature Climate Change, v. 10, p. 946-952, https://doi.org/10.1038/s41558-020-0874-1.","productDescription":"7 p.","startPage":"946","endPage":"952","onlineOnly":"Y","ipdsId":"IP-111909","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":436819,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H5PBXP","text":"USGS data release","linkHelpText":"Projected responses of the coastal water table for California using present-day and future sea-level rise scenarios"},{"id":377690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"10","noUsgsAuthors":false,"publicationDate":"2020-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Befus, K.M.","contributorId":201262,"corporation":false,"usgs":false,"family":"Befus","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":796764,"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":796765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoover, Daniel J. 0000-0002-2927-6196 dhoover@usgs.gov","orcid":"https://orcid.org/0000-0002-2927-6196","contributorId":4671,"corporation":false,"usgs":true,"family":"Hoover","given":"Daniel","email":"dhoover@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":796766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":796767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voss, Clifford I.","contributorId":187698,"corporation":false,"usgs":false,"family":"Voss","given":"Clifford","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":796768,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212571,"text":"70212571 - 2020 - Trait‐based variation in host contribution to pathogen transmission across species and resource supplies","interactions":[],"lastModifiedDate":"2020-11-13T15:53:48.27936","indexId":"70212571","displayToPublicDate":"2020-08-16T09:21:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Trait‐based variation in host contribution to pathogen transmission across species and resource supplies","docAbstract":"

Two key knowledge gaps currently limit the development of more predictive and general models of pathogen transmission: (1) the physiological basis of heterogeneity in host contribution to pathogen transmission (reservoir potential) remains poorly understood, and (2) a general means of integrating the ecological dynamics of host communities has yet to emerge. If the traits responsible for differences in reservoir potential also modulate host community dynamics, these traits could be used to predict pathogen transmission as host communities change. In two greenhouse experiments, across 23 host species and two levels of resource supply, the reservoir potential of plant hosts increased significantly along the Leaf Economic Spectrum, a global axis of plant physiological trait covariation that features prominently in models of plant community ecology. This indicates that the traits of the Leaf Economic Spectrum underlie broad differences in reservoir potential across host species and resource supplies. Therefore, host traits could be used to integrate epidemiological models of pathogen transmission with ecological models of host community change.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3164","usgsCitation":"Welsh, M.E., Cronin, J.P., and Mitchell, C.E., 2020, Trait‐based variation in host contribution to pathogen transmission across species and resource supplies: Ecology, v. 101, no. 11, e03164, 12 p., https://doi.org/10.1002/ecy.3164.","productDescription":"e03164, 12 p.","ipdsId":"IP-111122","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":377724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Welsh, Miranda E","contributorId":172466,"corporation":false,"usgs":false,"family":"Welsh","given":"Miranda","email":"","middleInitial":"E","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":796889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":796890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Charles E.","contributorId":197317,"corporation":false,"usgs":false,"family":"Mitchell","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":796891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70213139,"text":"70213139 - 2020 - EMD Gas Hydrates Committee annual report","interactions":[],"lastModifiedDate":"2020-09-10T14:14:36.876225","indexId":"70213139","displayToPublicDate":"2020-08-16T09:11:32","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"displayTitle":"EMD Gas Hydrates Committee Annual Report","title":"EMD Gas Hydrates Committee annual report","docAbstract":"Global research on the potential commercial viability of gas extraction from gas hydrates is continuing, predominantly in Asia and in the United States, where recent efforts have focused on the exploration and characterization of gas hydrate petroleum systems and conducting controlled production tests of gas hydrate deposits hosted in mostly sand-rich reservoir systems.\n\nIn 2017, gas hydrate production testing was conducted in marine settings in the offshore of Japan and China. An additional test was conducted in the Shenhu region of the South China Sea in 2020 to further evaluate the effectiveness of various well completion technologies to produce gas from gas hydrates. Late in 2018, a research partnership led by the U.S. Department of Energy National Energy Technology Laboratory and the Japan Oil, Gas and Metals National Corporation established a new Alaska North Slope test site for an extended gas hydrate production pilot with the completion of a stratigraphic test well. With the successful completion of the Prudhoe Bay Unit Hydrate-01 stratigraphic test well, planning is now underway for drilling of three additional wells at the Alaska test site, which will include a geoscience data well and two production test wells. In 2019, the Government of India released the results of one of the most comprehensive gas hydrate scientific drilling investigations ever undertaken, the leadership of the Indian National Gas Hydrate Program Expedition 02 reported on the discovery of several significant gas hydrate accumulations that were considered suitable for future gas hydrate production testing. In September of 2019, the U.S. Geological Survey released a new assessment of the technically recoverable gas hydrate resources on the Alaska North Slope. In 2018, the University of Texas at Austin released a comprehensive report describing the operational and initial technical results of the UT-GOM2-1 Hydrate Pressure Coring Expedition, which drilled and partially cored two wells in Green Canyon Block 955 in the deepwater Gulf of Mexico.\n\nThe results of these recently complete gas hydrate geologic and production studies have been further reviewed in this AAPG-EMD Gas Hydrate Committee report.","language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Collett, T., 2020, EMD Gas Hydrates Committee annual report, 11 p.","productDescription":"11 p.","ipdsId":"IP-119210","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":378308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378295,"type":{"id":15,"text":"Index Page"},"url":"https://www.aapg.org/about/aapg/overview/committees/emd/articleid/26345/committee-emd-gas-hydrates"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -166.46484375,\n 67.20403234340081\n ],\n [\n -141.6796875,\n 67.20403234340081\n ],\n [\n -141.6796875,\n 70.37785394109224\n ],\n [\n -156.796875,\n 71.69129271863999\n ],\n [\n -166.46484375,\n 70.37785394109224\n ],\n [\n -166.46484375,\n 67.20403234340081\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":798383,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70212589,"text":"70212589 - 2020 - A multi-state occupancy modelling framework for robust estimation of disease prevalence in multi-tissue disease systems","interactions":[],"lastModifiedDate":"2020-12-14T16:00:22.571788","indexId":"70212589","displayToPublicDate":"2020-08-16T09:01:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A multi-state occupancy modelling framework for robust estimation of disease prevalence in multi-tissue disease systems","docAbstract":"
  1. Given the public health, economic and conservation implications of zoonotic diseases, their effective surveillance is of paramount importance. The traditional approach to estimating pathogen prevalence as the proportion of infected individuals in the population is biased because it fails to account for imperfect detection. A statistically robust way to reduce bias in prevalence estimates is to obtain repeated samples (or sample many tissues in multi‐tissue disease systems) and to apply statistical methods that account for imperfect detection and permit the interdependence of the infection process across multiple tissues.
  2. We developed a multi‐state occupancy modelling framework which considers two scenarios about the infection process, one where no assumptions about the dependencies among the tissues are made (general), and another where dependence among tissues is not permitted (constrained).
  3. We applied this framework to pseudorabies virus (PrV) DNA detection data obtained from whole blood; and oral, nasal and genital mucosa of 510 feral swine Sus scrofa during the years 2014–2016 in Florida, USA.
  4. The constrained model was better supported by data. PrV prevalence estimates varied among tissues and were higher than the naïve estimates, ranging from to 0.06 (CI: 0.02–0.14) in genital to 0.54 (CI: 0.14 ‐ 0.82) in nasal tissue. Probability of PrV detection ranged from 0.11 (CI: 0.06–0.18) in nasal to 0.51 (CI: 0.21–0.81) in genital tissue.
  5. PrV prevalence was not affected by the age or sex of the animal or the year of sampling, but prevalence increased as drought severity increased.
  6. The conditional probability of detecting PrV given infection in at least one tissue type within an individual was highest for nasal tissue, suggesting that nasal is the best tissue to sample for PrV surveillance if only one tissue can be sampled, at least for systems with tissue‐specific prevalence and detection probabilities similar to ours.
  7. Synthesis and applications. We focused on inferences about pathogen prevalence in multi‐tissue disease systems, dealing with both nondetection and potential dependencies among tissues in infection status. We found strong evidence of variation in both prevalence and detection probabilities among tissues. Our results emphasize the importance of sampling multiple tissues and of applying inference methods that account for imperfect detection in the surveillance of systemic diseases. The multi‐state modelling framework is broadly applicable to the surveillance of pathogens that infect multiple tissues and can be used even when the infection status of the pathogen in one tissue may depend on the infection status of the pathogen in other tissue(s).
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13744","usgsCitation":"Chaudhary, V., Wisely, S.M., Hernandez, F.A., Hines, J.E., Nichols, J.D., and Oli, M.K., 2020, A multi-state occupancy modelling framework for robust estimation of disease prevalence in multi-tissue disease systems: Journal of Applied Ecology, v. 57, no. 12, p. 2463-2474, https://doi.org/10.1111/1365-2664.13744.","productDescription":"12 p.","startPage":"2463","endPage":"2474","ipdsId":"IP-115580","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":455624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13744","text":"Publisher Index Page"},{"id":377721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chaudhary, Vratika 0000-0001-7155-122X","orcid":"https://orcid.org/0000-0001-7155-122X","contributorId":238946,"corporation":false,"usgs":false,"family":"Chaudhary","given":"Vratika","email":"","affiliations":[{"id":47827,"text":"Univ. of FL.","active":true,"usgs":false}],"preferred":false,"id":796925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wisely, Samantha M","contributorId":193055,"corporation":false,"usgs":false,"family":"Wisely","given":"Samantha","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":796926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hernandez, Felipe A","contributorId":238947,"corporation":false,"usgs":false,"family":"Hernandez","given":"Felipe","email":"","middleInitial":"A","affiliations":[{"id":47827,"text":"Univ. of FL.","active":true,"usgs":false}],"preferred":false,"id":796927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":796930,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70219574,"text":"70219574 - 2020 - Beyond sticks and stones: Integrating physical and ecological conditions into watershed restoration assessments using a food web modeling approach","interactions":[],"lastModifiedDate":"2021-04-14T12:07:30.422751","indexId":"70219574","displayToPublicDate":"2020-08-16T07:03:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Beyond sticks and stones: Integrating physical and ecological conditions into watershed restoration assessments using a food web modeling approach","docAbstract":"

Watershed assessments have become common for prioritizing restoration in river networks. These assessments primarily focus on geomorphic conditions of rivers but less frequently incorporate non-geomorphic abiotic factors such as water chemistry and temperature, and biotic factors such as the structure of food webs. Using a dynamic food web model that integrates physical and ecological environmental conditions of rivers, we simulated how juvenile salmon (Oncorhynchus spp.) biomass responded to restoration at twelve sites distributed across the Methow River (Washington, USA), ranging from headwater tributaries to mainstem reaches. We explored responses to three common river restoration strategies: (1) physical habitat modification, (2) nutrient supplementation, and (3) increased riparian vegetation cover. We also simulated how different food web configurations that exist in salmon-bearing streams, such as the presence of ‘non-target’ fishes and ‘armored’ predation resistant invertebrates, could mediate restoration outcomes. Some locations in the river network experienced relatively large increases in modeled fish biomass with restoration, whereas other locations were almost entirely unresponsive. Spatial variation in restoration outcomes was primarily controlled by non-geomorphic environmental conditions, such as nutrient availability, water temperature, and stream canopy cover. Restoration responses also varied significantly with different food web configurations, suggesting that as the structure of food webs varies across river networks, so too could the outcome of restoration. These findings illustrate that ecological responses to restoration may exhibit substantial spatial variation within river networks, resulting from heterogeneity in environmental conditions that are commonly overlooked—but which can and should be considered—in restoration planning and prioritization.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2020.e00160","usgsCitation":"Whitney, E.J., Bellmore, J.R., Benjamin, J.R., Jordan, C.E., Dunham, J.B., Newsom, M., and Nahorniak, M., 2020, Beyond sticks and stones: Integrating physical and ecological conditions into watershed restoration assessments using a food web modeling approach: Food Webs, v. 25, e00160, 16 p., https://doi.org/10.1016/j.fooweb.2020.e00160.","productDescription":"e00160, 16 p.","ipdsId":"IP-117798","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":455628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2020.e00160","text":"Publisher Index Page"},{"id":385077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Methow River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.6685791015625,\n 48.59023420704331\n ],\n [\n -119.10415649414061,\n 48.59023420704331\n ],\n [\n -119.10415649414061,\n 48.99824008113872\n ],\n [\n -119.6685791015625,\n 48.99824008113872\n ],\n [\n -119.6685791015625,\n 48.59023420704331\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitney, Emily J","contributorId":257423,"corporation":false,"usgs":false,"family":"Whitney","given":"Emily","email":"","middleInitial":"J","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":814213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bellmore, James R 0000-0002-5140-6460","orcid":"https://orcid.org/0000-0002-5140-6460","contributorId":195609,"corporation":false,"usgs":false,"family":"Bellmore","given":"James","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":814214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","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":814215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Chris E","contributorId":217592,"corporation":false,"usgs":false,"family":"Jordan","given":"Chris","email":"","middleInitial":"E","affiliations":[{"id":39677,"text":"National Marine Fisheries Service, National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":814216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814217,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newsom, Michael","contributorId":178562,"corporation":false,"usgs":false,"family":"Newsom","given":"Michael","affiliations":[],"preferred":false,"id":814218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nahorniak, Matt","contributorId":257424,"corporation":false,"usgs":false,"family":"Nahorniak","given":"Matt","email":"","affiliations":[{"id":52015,"text":"South Fork Research","active":true,"usgs":false}],"preferred":false,"id":814219,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70248734,"text":"70248734 - 2020 - What to do when invaders are out of control?","interactions":[],"lastModifiedDate":"2023-09-19T11:47:44.296207","indexId":"70248734","displayToPublicDate":"2020-08-15T06:44:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"What to do when invaders are out of control?","docAbstract":"

Biological invasions threaten species and ecosystems worldwide. Impacts from invasions are especially prevalent in freshwaters, where managers have struggled to contain the problem. Conventional approaches to managing invaders focus on prevention and control. In practice, these measures have proven to be variably effective. Control or eradication of established invaders is particularly difficult and, even if ecologically feasible, it may not be socially desirable. Here we propose a new alternative to managing invasive species: managing impact modifiers (MIM). The MIM approach focuses on managing impacts, rather than controlling the invader directly. We reviewed the literature for the world's worst invasive fishes in freshwaters to show there is strong evidence to support the potential for MIM as an effective means of managing impacts of invasions. This included evidence pointing to characteristics of the environment or species themselves that modify impacts of invasions. Detail of three case studies reinforces the potential for MIM as a viable option. Although MIM appears promising, effective application could involve significant investment in an information gathering phase to identify impact modifiers and the means to manage them. Accordingly, MIM is best incorporated into management plans that include a strong learning or adaptive component. Ultimately, MIM may be one of the only viable alternatives for managing invasive species that are truly out of control.

","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1476","usgsCitation":"Dunham, J., Arismendi, I., Murphy, C., Koeberle, A., Olivos, J.A., Pearson, J.B., Pickens, F., Roon, D., and Stevenson, J.R., 2020, What to do when invaders are out of control?: WIREs Water, v. 7, no. 5, e1476, 13 p., https://doi.org/10.1002/wat2.1476.","productDescription":"e1476, 13 p.","ipdsId":"IP-115614","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":420940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":883365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arismendi, Ivan 0000-0002-8774-9350","orcid":"https://orcid.org/0000-0002-8774-9350","contributorId":202207,"corporation":false,"usgs":false,"family":"Arismendi","given":"Ivan","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Christina","contributorId":329814,"corporation":false,"usgs":false,"family":"Murphy","given":"Christina","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koeberle, Alex","contributorId":329815,"corporation":false,"usgs":false,"family":"Koeberle","given":"Alex","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olivos, J Andres","contributorId":329816,"corporation":false,"usgs":false,"family":"Olivos","given":"J","email":"","middleInitial":"Andres","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883369,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, James B","contributorId":221480,"corporation":false,"usgs":false,"family":"Pearson","given":"James","email":"","middleInitial":"B","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":883370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pickens, Francisco","contributorId":329817,"corporation":false,"usgs":false,"family":"Pickens","given":"Francisco","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883371,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roon, David","contributorId":257063,"corporation":false,"usgs":false,"family":"Roon","given":"David","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883372,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stevenson, John R.","contributorId":147936,"corporation":false,"usgs":false,"family":"Stevenson","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":883373,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70216784,"text":"70216784 - 2020 - Slender salamanders (genus Batrachoseps) reveal Southern California to be a center for the diversification, persistence, and introduction of salamander lineages","interactions":[],"lastModifiedDate":"2020-12-07T16:47:28.057194","indexId":"70216784","displayToPublicDate":"2020-08-14T10:37:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Slender salamanders (genus Batrachoseps) reveal Southern California to be a center for the diversification, persistence, and introduction of salamander lineages","title":"Slender salamanders (genus Batrachoseps) reveal Southern California to be a center for the diversification, persistence, and introduction of salamander lineages","docAbstract":"

Background

The southern California biodiversity hotspot has had a complex geological history, with both plate tectonic forces and sea level changes repeatedly reconfiguring the region, and likely driving both lineage splittings and extinctions. Here we investigate patterns of genetic divergence in two species of slender salamanders (Plethodontidae: Batrachoseps) in this region. The complex geological history in combination with several organismal traits led us to predict that these species harbor multiple ancient mitochondrial lineages endemic to southern California. These species belong to a clade characterized by fine-scale mitochondrial structure, which has been shown to track ancient splits. Both focal species, Batrachoseps major and B. nigriventris, are relatively widely distributed in southern California, and estimated to have persisted there across millions of years. Recently several extralimital populations of Batrachoseps were found in the San Joaquin Valley of California, a former desert area that has been extensively modified for agriculture. The origins of these populations are unknown, but based on morphology, they are hypothesized to result from human-mediated introductions of B. major.

Methods

We sequenced the mitochondrial gene cytochrome b from a geographically comprehensive sampling of the mitochondrial lineages of B. major and B. nigriventris that are endemic to southern California. We used phylogenetic analyses to characterize phylogeographic structure and identify mitochondrial contact zones. We also included the San Joaquin Valley samples to test whether they resulted from introductions. We used a bootstrap resampling approach to compare the strength of isolation-by-distance in both Batrachoseps species and four other salamander species with which they co-occur in southern California.

Results

The northern lineage of B. major harbors at least eight deeply differentiated, geographically cohesive mitochondrial subclades. We identify geographic contact between many of these mtDNA lineages and some biogeographic features that are concordant with lineage boundaries. Batrachoseps nigriventris also has multiple deeply differentiated clades within the region. Comparative analyses highlight the smaller spatial scales over which mitochondrial divergence accumulates in Batrachoseps relative to most other salamander species in southern California. The extralimital populations of Batrachoseps from the San Joaquin Valley are assigned to B. major and are shown to result from at least two independent introductions from different source populations. We also suggest that B. major on Catalina Island, where it is considered native, may be the result of an introduction. Some of the same traits that facilitate the build-up of deep phylogeographic structure in Batrachoseps likely also contribute to its propensity for introductions, and we anticipate that additional introduced populations will be discovered.

","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.9599","usgsCitation":"Jockusch, E.L., Hansen, R.W., Fisher, R.N., and Wake, D., 2020, Slender salamanders (genus Batrachoseps) reveal Southern California to be a center for the diversification, persistence, and introduction of salamander lineages: PeerJ, v. 8, e9599, 37 p., https://doi.org/10.7717/peerj.9599.","productDescription":"e9599, 37 p.","ipdsId":"IP-119579","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":455632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.9599","text":"Publisher Index Page"},{"id":381041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.09228515624999,\n 32.54681317351514\n ],\n [\n -115.411376953125,\n 32.731840896865684\n ],\n [\n -116.34521484375001,\n 34.23451236236987\n ],\n [\n -116.378173828125,\n 35.42486791930558\n ],\n [\n -118.377685546875,\n 36.94989178681327\n ],\n [\n -119.86083984375,\n 37.76202988573211\n ],\n [\n -121.08032226562499,\n 38.556757147352215\n ],\n [\n -122.618408203125,\n 39.436192999314095\n ],\n [\n -123.804931640625,\n 42.00848901572399\n ],\n [\n -124.23339843749999,\n 41.95949009892467\n ],\n [\n -124.112548828125,\n 41.40153558289846\n ],\n [\n -124.45312499999999,\n 40.38839687388361\n ],\n [\n -124.12353515624999,\n 40.002371935876475\n ],\n [\n -123.804931640625,\n 39.49556336059472\n ],\n [\n -123.958740234375,\n 39.30029918615029\n ],\n [\n -123.760986328125,\n 38.95940879245423\n ],\n [\n -122.80517578125,\n 37.91820111976663\n ],\n [\n -122.15698242187499,\n 36.96744946416934\n ],\n [\n -121.83837890625,\n 36.32397712011264\n ],\n [\n -121.17919921875001,\n 35.523285179107816\n ],\n [\n -120.7177734375,\n 35.0120020431607\n ],\n [\n -120.684814453125,\n 34.58799745550482\n ],\n [\n -120.4541015625,\n 33.815666308702774\n ],\n [\n -118.57543945312501,\n 32.54681317351514\n ],\n [\n -117.09228515624999,\n 32.54681317351514\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Jockusch, Elizabeth L","contributorId":245467,"corporation":false,"usgs":false,"family":"Jockusch","given":"Elizabeth","email":"","middleInitial":"L","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":806243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Robert W","contributorId":245468,"corporation":false,"usgs":false,"family":"Hansen","given":"Robert","email":"","middleInitial":"W","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":806244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":806245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wake, David B","contributorId":245469,"corporation":false,"usgs":false,"family":"Wake","given":"David B","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":806246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70212610,"text":"70212610 - 2020 - Winter survival of female Ring-Necked Ducks in the Southern Atlantic Flyway","interactions":[],"lastModifiedDate":"2020-10-28T15:53:05.262236","indexId":"70212610","displayToPublicDate":"2020-08-14T09:00:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Winter survival of female Ring-Necked Ducks in the Southern Atlantic Flyway","docAbstract":"

North American waterfowl harvest regulations are largely guided by the status of breeding populations. Nonetheless, understanding the demographics of wintering waterfowl populations can elucidate the effects of hunting pressure on population dynamics. The ring‐necked duck (Aythya collaris) breeds and winters in all North American administrative flyways and is one of the most abundant and most harvested diving ducks in the Atlantic Flyway. But few studies have investigated the winter ecology of ring‐necked ducks. We used a known‐fate analysis to estimate period survival probability using data from 87 female ring‐necked ducks marked with satellite transmitters in 2 regions of the southern Atlantic Flyway during winters of 2017–2018 and 2018–2019. Winter (128‐day) survival probability was higher for individuals in the Red Hills region of southern Georgia and northern Florida (0.875, 95% CI = 0.691–0.952) than individuals in central South Carolina (0.288, 95% CI = 0.082–0.514). We attribute the regional disparity in winter survival probabilities to differences in hunting pressure, which are reflected in the number of harvests we observed in each region. Our findings warrant further investigation into regional variation in winter survival of southern Atlantic Flyway ring‐necked ducks, and, specifically, the relationship between variable harvest pressure and winter survival and its influence on ring‐necked duck population dynamics and adaptive harvest management decisions. 

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21943","usgsCitation":"Mezebish, T.D., Olsen, G.H., Goodman, M., Rohwer, F., and McConnell, M.D., 2020, Winter survival of female Ring-Necked Ducks in the Southern Atlantic Flyway: Journal of Wildlife Management, v. 84, no. 8, p. 1527-1535, https://doi.org/10.1002/jwmg.21943.","productDescription":"9 p.","startPage":"1527","endPage":"1535","ipdsId":"IP-115933","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":377787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Mezebish, Tori D.","contributorId":239496,"corporation":false,"usgs":false,"family":"Mezebish","given":"Tori","email":"","middleInitial":"D.","affiliations":[{"id":27618,"text":"University of Georgia, Warnell School of Forestry and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":797079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, Glenn H. 0000-0002-7188-6203","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":238130,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":797080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodman, Michele","contributorId":239497,"corporation":false,"usgs":false,"family":"Goodman","given":"Michele","email":"","affiliations":[{"id":47893,"text":"Elmwood Park Zoo, Norristown, Pennyslvania","active":true,"usgs":false}],"preferred":false,"id":797081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohwer, Frank C.","contributorId":239498,"corporation":false,"usgs":false,"family":"Rohwer","given":"Frank C.","affiliations":[{"id":47894,"text":"Delta Waterfowl, Bismark North Dakota","active":true,"usgs":false}],"preferred":false,"id":797082,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McConnell, Mark D.","contributorId":239499,"corporation":false,"usgs":false,"family":"McConnell","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":47895,"text":"College of Forest Resources, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":797083,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212504,"text":"70212504 - 2020 - Capturing spatiotemporal patterns in presence-absence data to inform monitoring and sampling designs for the threatened Dakota skipper (Lepidoptera: Hesperiidae) in the Great Plains of the United States","interactions":[],"lastModifiedDate":"2020-10-28T15:47:42.467946","indexId":"70212504","displayToPublicDate":"2020-08-14T08:56:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1536,"text":"Environmental Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Capturing spatiotemporal patterns in presence-absence data to inform monitoring and sampling designs for the threatened Dakota skipper (Lepidoptera: Hesperiidae) in the Great Plains of the United States","docAbstract":"

Declines among species of insect pollinators, especially butterflies, has garnered attention from scientists and managers. Often these declines have spurred governments to declare some species as threatened or endangered. We used existing presence–absence data from surveys for the threatened Dakota skipper Hesperia dacotae (Skinner) to build statistical maps of species presence that could be used to inform future monitoring designs. We developed a hierarchical Bayesian modeling approach to estimate the spatial distribution and temporal trend in Dakota skipper probability of presence. Our model included a spatial random effect and fixed effects for the proportion of two grassland habitat types: those on well-drained soils and those on poorly drained soils; as well as the topographic slope. The results from this model were then used to assess sampling strategies with two different monitoring objectives: locating new Dakota skipper colonies or monitoring the proportion of historically (pre-2000) extant colonies. Our modeling results suggested that the distribution of Dakota skippers followed the distribution of remnant grasslands and that probabilities of presence tended to be higher in topographically diverse grasslands with well-drained soils. Our analysis also showed that the probability of presence declined throughout the northern Great Plains range. Our simulations of the different sampling designs suggested that new detections were expected when sampling where Dakota skippers likely occurred historically, but this may lead to a tradeoff with monitoring existing sites. Prior information about the extant sites may help to ameliorate this tradeoff.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ee/nvaa081","usgsCitation":"Post van der Burg, M., Austin, J.E., Wiltermuth, M.T., Newton, W.E., and MacDonald, G.J., 2020, Capturing spatiotemporal patterns in presence-absence data to inform monitoring and sampling designs for the threatened Dakota skipper (Lepidoptera: Hesperiidae) in the Great Plains of the United States: Environmental Entomology, v. 49, no. 5, p. 1252-1261, https://doi.org/10.1093/ee/nvaa081.","productDescription":"10 p.","startPage":"1252","endPage":"1261","ipdsId":"IP-113665","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":455635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ee/nvaa081","text":"Publisher Index Page"},{"id":377598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, North Dakota, South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.72412109375,\n 42.68243539838623\n ],\n [\n -91.91162109375,\n 42.89206418807337\n ],\n [\n -91.318359375,\n 43.30919109985686\n ],\n [\n -91.51611328125,\n 43.83452678223682\n ],\n [\n -92.900390625,\n 44.85586880735725\n ],\n [\n -93.0322265625,\n 45.78284835197676\n ],\n [\n -94.68017578125,\n 48.647427805533546\n ],\n [\n -95.77880859375,\n 48.951366470947725\n ],\n [\n -103.90869140625,\n 48.951366470947725\n ],\n [\n -100.39306640625,\n 43.35713822211053\n ],\n [\n -94.72412109375,\n 42.68243539838623\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newton, Wesley E. 0000-0002-1377-043X wnewton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-043X","contributorId":3661,"corporation":false,"usgs":true,"family":"Newton","given":"Wesley","email":"wnewton@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacDonald, Garrett J. 0000-0002-9487-7721","orcid":"https://orcid.org/0000-0002-9487-7721","contributorId":238820,"corporation":false,"usgs":true,"family":"MacDonald","given":"Garrett","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212556,"text":"70212556 - 2020 - Quantifying ecospace utilization and ecosystemengineering during the early Phanerozoic—The role of bioturbation and bioerosion","interactions":[],"lastModifiedDate":"2020-08-21T12:36:32.034129","indexId":"70212556","displayToPublicDate":"2020-08-14T08:33:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying ecospace utilization and ecosystemengineering during the early Phanerozoic—The role of bioturbation and bioerosion","docAbstract":"

The Cambrian explosion (CE) and the great Ordovician biodiversification event (GOBE) are the two most important radiations in Paleozoic oceans. We quantify the role of bioturbation and bioerosion in ecospace utilization and ecosystem engineering using information from 1367 stratigraphic units. An increase in all diversity metrics is demonstrated for the Ediacaran-Cambrian transition, followed by a decrease in most values during the middle to late Cambrian, and by a more modest increase during the Ordovician. A marked increase in ichnodiversity and ichnodisparity of bioturbation is shown during the CE and of bioerosion during the GOBE. Innovations took place first in offshore settings and later expanded into marginal-marine, nearshore, deep-water, and carbonate environments. This study highlights the importance of the CE, despite its Ediacaran roots. Differences in infaunalization in offshore and shelf paleoenvironments favor the hypothesis of early Cambrian wedge-shaped oxygen minimum zones instead of a horizontally stratified ocean.

","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.abb0618","usgsCitation":"Buatois, L.A., Mangano, M.G., Minter, N.J., Zhou, K., Wisshak, M., Wilson, M.A., and Olea, R., 2020, Quantifying ecospace utilization and ecosystemengineering during the early Phanerozoic—The role of bioturbation and bioerosion: Science Advances, v. 6, no. 33, eabb0618, 12 p., https://doi.org/10.1126/sciadv.abb0618.","productDescription":"eabb0618, 12 p.","onlineOnly":"Y","ipdsId":"IP-117225","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":455638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.abb0618","text":"Publisher Index Page"},{"id":377682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"33","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buatois, Luis A. 0000-0001-9523-750X","orcid":"https://orcid.org/0000-0001-9523-750X","contributorId":195823,"corporation":false,"usgs":false,"family":"Buatois","given":"Luis","email":"","middleInitial":"A.","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":796849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangano, M. Gabriela 0000-0001-8747-6033","orcid":"https://orcid.org/0000-0001-8747-6033","contributorId":238882,"corporation":false,"usgs":false,"family":"Mangano","given":"M.","email":"","middleInitial":"Gabriela","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":796850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minter, Nicholas J 0000-0002-4246-8539","orcid":"https://orcid.org/0000-0002-4246-8539","contributorId":238883,"corporation":false,"usgs":false,"family":"Minter","given":"Nicholas","email":"","middleInitial":"J","affiliations":[{"id":38839,"text":"University of Portsmouth","active":true,"usgs":false}],"preferred":false,"id":796851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Kai","contributorId":238884,"corporation":false,"usgs":false,"family":"Zhou","given":"Kai","email":"","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":796852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wisshak, Max 0000-0001-7531-3317","orcid":"https://orcid.org/0000-0001-7531-3317","contributorId":238885,"corporation":false,"usgs":false,"family":"Wisshak","given":"Max","email":"","affiliations":[{"id":47815,"text":"Senckenberg am Meer: Wilhelmshaven, Niedersachsen, DE","active":true,"usgs":false}],"preferred":false,"id":796853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Mark A. 0000-0002-4651-0589","orcid":"https://orcid.org/0000-0002-4651-0589","contributorId":208038,"corporation":false,"usgs":false,"family":"Wilson","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":37683,"text":"College of Wooster, OH","active":true,"usgs":false}],"preferred":false,"id":796854,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":224285,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":796855,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211972,"text":"sir20205089 - 2020 - Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020","interactions":[],"lastModifiedDate":"2020-08-14T14:22:37.455961","indexId":"sir20205089","displayToPublicDate":"2020-08-13T12:39:14","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5089","displayTitle":"Status of Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas, 2020","title":"Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020","docAbstract":"

Since the early 1900s, most of the groundwater withdrawals in the Houston-Galveston region, Texas, have been from the three primary aquifers that compose the Gulf Coast aquifer system—the Chicot, Evangeline, and Jasper aquifers. Withdrawals from these aquifers are used for municipal supply, commercial and industrial use, and irrigation. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting the status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers in the Houston-Galveston region. This report contains regional-scale maps depicting approximate 2020 groundwater-level altitudes (represented by measurements made during December 2019 through March 2020) and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers.

In 2020, groundwater-level-altitude contours for the Chicot aquifer ranged from 150 feet (ft) below the North American Vertical Datum of 1988 (hereinafter referred to as “datum”) to 200 ft above datum. The 1977–2020 groundwater-level-change contours for the Chicot aquifer depict a large area of decline in groundwater-level altitudes (120 ft) in northwestern Harris County. The largest rise in groundwater-level altitudes in the Chicot aquifer from 1977 to 2020 (200 ft) was in southeastern Harris County.

In 2020, groundwater-level-altitude contours for the Evangeline aquifer ranged from 250 ft below datum to 200 ft above datum. The 1977–2020 groundwater-level-change contours for the Evangeline aquifer depict broad areas where groundwater-level altitudes either declined or rose. The largest decline in groundwater-level altitudes (280 ft) was in southern Montgomery and northern Harris Counties. The largest rise in groundwater-level altitudes in the Evangeline aquifer from 1977 to 2020 (240 ft) was in southeastern Harris County.

In 2020, groundwater-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum to 250 ft above datum. The 2000–20 groundwater-level-change contours for the Jasper aquifer depict groundwater-level declines throughout most of the study area where groundwater-level-altitude data from the Jasper aquifer were collected, with the largest decline (220 ft) in southern Montgomery County.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205089","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Braun, C.L., and Ramage, J.K., 2020, Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020: U.S. Geological Survey Scientific Investigations Report 2020–5089, 18 p., https://doi.org/10.3133/sir20205089.","productDescription":"Report: v, 18 p.; 2 Data Releases","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-118353","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":377449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5089/coverthb.jpg"},{"id":377450,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5089/sir20205089.pdf","text":"Report","size":"13.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5089"},{"id":377451,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90EJL2E","text":"USGS data release","description":"USGS data release","linkHelpText":"Depth to groundwater measured from wells completed in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020"},{"id":377452,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98IX48O","text":"USGS data release","description":"USGS data release","linkHelpText":"Groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020"}],"country":"United States","state":"Texas","city":"Galveston, Houston","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.35882568359375,\n 29.556734316910855\n ],\n [\n -94.79827880859375,\n 30.107117887092357\n ],\n [\n -95.39154052734374,\n 30.401306519203583\n ],\n [\n -95.635986328125,\n 30.61191363386011\n ],\n [\n -95.86395263671875,\n 30.774878871959746\n ],\n [\n -96.6412353515625,\n 30.09286062952815\n ],\n [\n -95.70465087890625,\n 28.72190478475891\n ],\n [\n -94.35882568359375,\n 29.556734316910855\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-08-13","noUsgsAuthors":false,"publicationDate":"2020-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70211901,"text":"cir1466 - 2020 - Strategic Plan for the North American Breeding Bird Survey, 2020–30","interactions":[{"subject":{"id":79922,"text":"cir1307 - 2007 - Strategic Plan for the North American Breeding Bird Survey: 2006-2010","indexId":"cir1307","publicationYear":"2007","noYear":false,"title":"Strategic Plan for the North American Breeding Bird Survey: 2006-2010"},"predicate":"SUPERSEDED_BY","object":{"id":70211901,"text":"cir1466 - 2020 - Strategic Plan for the North American Breeding Bird Survey, 2020–30","indexId":"cir1466","publicationYear":"2020","noYear":false,"title":"Strategic Plan for the North American Breeding Bird Survey, 2020–30"},"id":1}],"lastModifiedDate":"2024-03-04T19:17:17.051404","indexId":"cir1466","displayToPublicDate":"2020-08-13T12:20:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1466","displayTitle":"Strategic Plan for the North American Breeding Bird Survey, 2020–30","title":"Strategic Plan for the North American Breeding Bird Survey, 2020–30","docAbstract":"

The North American Breeding Bird Survey (BBS) has been the cornerstone of continental bird conservation and management for hundreds of North American bird species in the United States and Canada for more than 50 years. This strategic plan was developed in collaboration with key partners and stakeholders and charts the ambitious course for the BBS over the next decade (2020–30). Using this plan as a guide, the BBS program will set out to improve the breadth and depth of standardized data collection and analytical products; ensure its products are widely used and recognized as the authoritative source for long-term population change information for most birds; and secure adequate resources, internally and through partnerships, to realize the expanded vision of the BBS intended to support avian management needs through 2030.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1466","usgsCitation":"U.S. Geological Survey and Canadian Wildlife Service, 2020, Strategic Plan for the North American Breeding Bird Survey, 2020–30: U.S. Geological Survey Circular 1466, 10 p., https://doi.org/10.3133/cir1466. [Supersedes USGS Circular 1307.]","productDescription":"vi, 10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-118858","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":377479,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1466/cir1466.pdf","text":"Report","size":"24.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1466"},{"id":377478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1466/coverthb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.2412109375,\n 14.647368383896632\n ],\n [\n -92.2412109375,\n 15.623036831528264\n ],\n [\n -91.2744140625,\n 16.04581345375217\n ],\n [\n -90.2197265625,\n 16.25686733062344\n ],\n [\n -91.0986328125,\n 17.22475820662464\n ],\n [\n -90.9228515625,\n 17.811456088564483\n ],\n [\n -88.681640625,\n 17.97873309555617\n ],\n [\n -88.11035156249999,\n 18.521283325496277\n ],\n [\n -87.4951171875,\n 18.22935133838668\n ],\n [\n -84.9462890625,\n 23.36242859340884\n ],\n [\n -80.068359375,\n 25.20494115356912\n ],\n [\n -79.62890625,\n 26.902476886279832\n ],\n [\n -80.68359375,\n 31.12819929911196\n ],\n [\n -73.8720703125,\n 36.24427318493909\n ],\n [\n -73.30078125,\n 39.9434364619742\n ],\n [\n -62.666015625,\n 44.24519901522129\n ],\n [\n -51.85546874999999,\n 46.76996843356982\n ],\n [\n -55.9423828125,\n 53.9560855309879\n ],\n [\n -63.720703125,\n 60.994423108456154\n ],\n [\n -60.90820312499999,\n 67.1016555307692\n ],\n [\n -77.16796875,\n 74.83343569581844\n ],\n [\n -73.4326171875,\n 78.98818668348777\n ],\n [\n -64.1162109375,\n 81.38765019536312\n ],\n [\n -60.42480468749999,\n 82.40823147725087\n ],\n [\n -65.4345703125,\n 83.06346888871603\n ],\n [\n -78.486328125,\n 83.22606748157787\n ],\n [\n -91.845703125,\n 82.08819592233118\n ],\n [\n -108.28125,\n 79.16307540424508\n ],\n [\n -114.12597656249999,\n 78.62133875728088\n ],\n [\n -128.49609375,\n 74.98218270428184\n ],\n [\n -130.078125,\n 71.32895017791999\n ],\n [\n -134.208984375,\n 70.46620742226558\n ],\n [\n -137.724609375,\n 69.41124235697256\n ],\n [\n -155.7421875,\n 71.93815765811694\n ],\n [\n -167.431640625,\n 69.00567519658819\n ],\n [\n -168.22265625,\n 65.14611484756372\n ],\n [\n -172.705078125,\n 63.54855223203644\n ],\n [\n -168.48632812499997,\n 52.908902047770255\n ],\n [\n -160.927734375,\n 54.57206165565852\n ],\n [\n -145.546875,\n 59.80063426102869\n ],\n [\n -138.076171875,\n 57.844750992891\n ],\n [\n -133.2421875,\n 52.16045455774706\n ],\n [\n -125.595703125,\n 47.931066347509784\n ],\n [\n -124.27734374999999,\n 44.902577996288876\n ],\n [\n -124.892578125,\n 42.5530802889558\n ],\n [\n -125.33203125,\n 40.64730356252251\n ],\n [\n -123.48632812499999,\n 36.66841891894786\n ],\n [\n -117.861328125,\n 31.57853542647338\n ],\n [\n -115.31249999999999,\n 27.137368359795584\n ],\n [\n -108.10546875,\n 21.207458730482642\n ],\n [\n -100.986328125,\n 16.04581345375217\n ],\n [\n -92.2412109375,\n 14.647368383896632\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"Circular 1466 supersedes Circular 1307.","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road
Laurel, MD 20708-4039

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-08-13","noUsgsAuthors":false,"publicationDate":"2020-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128037,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":796149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canadian Wildlife Service","contributorId":238145,"corporation":true,"usgs":false,"organization":"Canadian Wildlife Service","id":796150,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70212573,"text":"70212573 - 2020 - Moving from decision to action in conservation science","interactions":[],"lastModifiedDate":"2020-08-21T14:33:29.133142","indexId":"70212573","displayToPublicDate":"2020-08-13T09:29:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Moving from decision to action in conservation science","docAbstract":"

Biodiversity loss is a major threat to the integrity of ecosystems and is projected to worsen, yet the path to successful conservation remains elusive. Decision support frameworks (DSFs) are increasingly applied by resource managers to navigate the complexity, uncertainty, and differing socio-ecological objectives inherent to conservation problems. Most published conservation research that uses DSFs focuses on analytical stages (e.g., identifying an optimal decision), making it difficult to assess and learn from previous examples in a conservation practice context. Here, we (1) evaluate the relationship between the application of decision science and the resulting conservation outcomes, and (2) identify and address existing barriers to the application of DSFs to conservation practice. To do this, we develop a framework for evaluating conservation initiatives using decision science that emphasizes setting attainable goals, building momentum, and obtaining partner buy-in. We apply this framework to a systematic review of amphibian conservation decision support projects, including a follow-up survey of the pertinent conservation practitioners, stakeholders, and scientists. We found that all projects identified optimal solutions to reach stated objectives, but positive conservation outcomes were limited when implementation challenges arose. Further, we identified multiple barriers (e.g., dynamic and hierarchical leadership, scale complexity, limited resource availability) that can inhibit the progression from decision identification to action implementation (i.e., ‘decision-implementation gap’), and to successful conservation outcomes. Based on these results, we provide potential actionable steps and avenues for future development of DSFs to facilitate the transition from decision to action and the realization of conservation successes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2020.108698","usgsCitation":"Wright, A., Bernard, R.F., Mosher, B.A., O'Donnell, K., Braunagel, T., DiRenzo, G.V., Fleming, J.E., Shafer, C., Brand, A.B., Zipkin, E.F., and Campbell Grant, E.H., 2020, Moving from decision to action in conservation science: Biological Conservation, v. 249, 108698, 11 p., https://doi.org/10.1016/j.biocon.2020.108698.","productDescription":"108698, 11 p.","ipdsId":"IP-118950","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":455642,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2020.108698","text":"Publisher Index Page"},{"id":377726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"249","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Alexander","contributorId":238924,"corporation":false,"usgs":false,"family":"Wright","given":"Alexander","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":796895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernard, Riley F 0000-0002-1321-3625","orcid":"https://orcid.org/0000-0002-1321-3625","contributorId":238925,"corporation":false,"usgs":false,"family":"Bernard","given":"Riley","email":"","middleInitial":"F","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":796896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, Brittany A.","contributorId":189579,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":796897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Donnell, Katherine 0000-0001-9023-174X","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":216367,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Katherine","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":796898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braunagel, Taylor","contributorId":238929,"corporation":false,"usgs":false,"family":"Braunagel","given":"Taylor","email":"","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":796899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DiRenzo, Graziella V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":796900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796901,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shafer, Charles 0000-0002-1864-2461 cshafer@usgs.gov","orcid":"https://orcid.org/0000-0002-1864-2461","contributorId":238932,"corporation":false,"usgs":true,"family":"Shafer","given":"Charles","email":"cshafer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796902,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796903,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":796904,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796905,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70214473,"text":"70214473 - 2020 - Biological effects of hydrocarbon degradation intermediates: Is the total petroleum hydrocarbon analytical method adequate for risk assessment?","interactions":[],"lastModifiedDate":"2020-09-28T12:57:15.308453","indexId":"70214473","displayToPublicDate":"2020-08-13T07:42:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Biological effects of hydrocarbon degradation intermediates: Is the total petroleum hydrocarbon analytical method adequate for risk assessment?","docAbstract":"

In crude oil contaminant plumes, the dissolved organic carbon (DOC) is mainly hydrocarbon degradation intermediates only partly quantified by the diesel range total petroleum hydrocarbon (TPHd) method. To understand potential biological effects of degradation intermediates, we tested three fractions of DOC: (1) solid-phase extract (HLB); (2) dichloromethane (DCM-total) extract used in TPHd; and (3) DCM extract with hydrocarbons isolated by silica gel cleanup (DCM-SGC). Bioactivity of extracts from five wells spanning a range of DOC was tested using an in vitro multiplex reporter system that evaluates modulation of the activity of 46 transcription factors; extracts were evaluated at concentrations equivalent to the well water samples. The aryl hydrocarbon receptor (AhR) and pregnane X receptor (PXR) transcription factors showed the greatest upregulation, with HLB exceeding DCM-total, and no upregulation in the hydrocarbon fraction (DCM-SGC). The HLB extracts were further studied with HepG2 chemically activated luciferase expression (CALUX) in vitro assays at nine concentrations ranging from 40 to 0.01 times the well water concentrations. Responses decreased with distance from the source but were still present at two wells without detectable hydrocarbons. Thus, our in vitro assay results indicate that risks associated with degradation intermediates of hydrocarbons in groundwater will be underestimated when protocols that remove these chemicals are employed.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c02220","usgsCitation":"Bekins, B.A., Brennan, J., Tillitt, D.E., Cozzarelli, I.M., Illig, J.M., and Martinovich-Weigelt, D., 2020, Biological effects of hydrocarbon degradation intermediates: Is the total petroleum hydrocarbon analytical method adequate for risk assessment?: Environmental Science & Technology, v. 54, no. 18, p. 11396-11404, https://doi.org/10.1021/acs.est.0c02220.","productDescription":"9 p.","startPage":"11396","endPage":"11404","ipdsId":"IP-116351","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":455645,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.0c02220","text":"Publisher Index Page"},{"id":378790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Bemidji","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.042724609375,\n 47.3834738721015\n ],\n [\n -94.735107421875,\n 47.3834738721015\n ],\n [\n -94.735107421875,\n 47.5913464767971\n ],\n [\n -95.042724609375,\n 47.5913464767971\n ],\n [\n -95.042724609375,\n 47.3834738721015\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"18","noUsgsAuthors":false,"publicationDate":"2020-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":799678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brennan, Jennifer 0000-0003-0386-3496 jcbrennan@usgs.gov","orcid":"https://orcid.org/0000-0003-0386-3496","contributorId":200181,"corporation":false,"usgs":true,"family":"Brennan","given":"Jennifer","email":"jcbrennan@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":799679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":799680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":799681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Illig, Jennifer M. 0000-0002-1805-0853","orcid":"https://orcid.org/0000-0002-1805-0853","contributorId":241592,"corporation":false,"usgs":false,"family":"Illig","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":6748,"text":"University of St. Thomas","active":true,"usgs":false}],"preferred":false,"id":799682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martinovich-Weigelt, Dalma 0000-0002-9973-4965","orcid":"https://orcid.org/0000-0002-9973-4965","contributorId":241594,"corporation":false,"usgs":false,"family":"Martinovich-Weigelt","given":"Dalma","email":"","affiliations":[{"id":6748,"text":"University of St. Thomas","active":true,"usgs":false}],"preferred":false,"id":799683,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70211862,"text":"sir20205060 - 2020 - Flood-inundation maps for Dardenne Creek in St. Charles County, Missouri, 2019","interactions":[],"lastModifiedDate":"2020-08-12T23:31:17.152064","indexId":"sir20205060","displayToPublicDate":"2020-08-12T14:12:35","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5060","displayTitle":"Flood-Inundation Maps for Dardenne Creek in St. Charles County, Missouri, 2019","title":"Flood-inundation maps for Dardenne Creek in St. Charles County, Missouri, 2019","docAbstract":"

Digital flood-inundation maps for a 9.9-mile reach of Dardenne Creek, St. Charles County, Missouri, were created by the U.S. Geological Survey (USGS), in cooperation with the Missouri Department of Transportation, St. Charles County, and the Cities of O’Fallon and St. Peters, Mo. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/​mission-​areas/​water-​resources/​science/​flood-​inundation-​mapping-​fim-​program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages 05514860 Dardenne Creek at Old Town St. Peters, Mo., and 05587450 Mississippi River at Grafton, Illinois. Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System at https://doi.org/​10.5066/​F7P55KJN or the National Weather Service Advanced Hydrologic Prediction Service at https://water.weather.gov/ ahps2/ hydrograph.php? wfo= lsx&gage= drcm7 and https://water.weather.gov/ ahps2/ hydrograph.php? wfo= lsx&gage= grfi2, which also forecasts flood hydrographs at these sites (sites DRCM7 and GRFI2).

Flood profiles were computed for the Dardenne Creek stream reach by means of a one-dimensional model for simulating water-surface profiles with steady-state flow computations. The model was calibrated by using the current stage-streamflow relation at the USGS streamgages 05514840 Dardenne Creek at O’Fallon, Mo., and 05514860 Dardenne Creek at Old Town St. Peters, Mo., and the documented high-water marks from the flood of December 2015.

The hydraulic model was then used to compute 17 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 16 ft, or near bankfull, to 32 ft at the reference streamgage 05514860. Stages in the lower Dardenne Creek can be affected by backwater from the Mississippi River; therefore, several sets of water-surface profiles were developed representing the extent of varying levels of backwater as referenced to the USGS streamgage 05587450 on the Mississippi River at Grafton, Ill. The upper stage for each map library exceeds the stage corresponding to the estimated 0.2-percent annual exceedance probability flood (500-year recurrence interval flood) at the streamgage location. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.26-ft vertical accuracy and 0.71-ft horizontal resolution) to delineate the area flooded at each water level.

The availability of these maps, along with real-time information regarding current stage from the USGS streamgage and forecasted high-flow stages from the National Weather Service, will provide emergency management personnel and residents with information that is critical for flood mitigation, preparedness and planning, flood-response activities such as evacuations and road closures, and postflood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205060","collaboration":"Prepared in cooperation with Missouri Department of Transportation, St. Charles County, and the Cities of O’Fallon and St. Peters, Missouri","usgsCitation":"Heimann, D.C., Voss, J.D., and Rydlund, P.H., Jr., 2020, Flood-inundation maps for Dardenne Creek in St. Charles County, Missouri, 2019: U.S. Geological Survey Scientific Investigations Report 2020–5060, 14 p., https://doi.org/10.3133/sir20205060.","productDescription":"Report: vii, 14 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-117593","costCenters":[{"id":36532,"text":"Central Midwest Water Science 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Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401

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Peak standing biomass represents an indicator\nof wetland production or productivity but does not account for turnover (production and\ndecomposition) of different pools of biomass with time. Understanding the nutrient status\nof plant biomass can be particularly helpful in diagnosing what constituents may be\nlimiting wetland production. The biomass and nutrient measures described in the\nfollowing field/laboratory data collection procedures are designed to provide the raw data\nto support predictive ecosystem models, as well as answer basic wetland process\nquestions that will help inform restoration decisions.\n\nThe following procedures outline the field and laboratory methods to collect vegetation\nbiomass and other plant or soil characteristics as needed for the SWAMP. The sampling\ndesign incorporates expanded collection from predefined target plant species that\ntypically occur within selected CRMS stations. 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Mike","contributorId":298008,"corporation":false,"usgs":false,"family":"Miller","given":"C.","email":"","middleInitial":"Mike","affiliations":[],"preferred":false,"id":854829,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Robinson, Elizabeth M.","contributorId":257731,"corporation":false,"usgs":false,"family":"Robinson","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":854830,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Freeman, Angelina M.","contributorId":289784,"corporation":false,"usgs":false,"family":"Freeman","given":"Angelina","email":"","middleInitial":"M.","affiliations":[{"id":62252,"text":"CPRA","active":true,"usgs":false}],"preferred":false,"id":854831,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":220330,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":854832,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":222810,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":854833,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Beck, Holly 0000-0002-0567-9329","orcid":"https://orcid.org/0000-0002-0567-9329","contributorId":219337,"corporation":false,"usgs":true,"family":"Beck","given":"Holly","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":854834,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70237651,"text":"70237651 - 2020 - Imagery","interactions":[],"lastModifiedDate":"2022-10-18T16:15:40.928785","indexId":"70237651","displayToPublicDate":"2020-08-12T11:07:50","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"chapter":"10","title":"Imagery","docAbstract":"

As part of CRMS, Digital Orthophoto Quarter Quadrangles (DOQQs) for the coastal region of Louisiana are created for years when coastwide land-water classifications are required. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been corrected. These images combine the image characteristics of a photo with the geometric qualities of a map. The DOQQs generated for this project consist of four components or spectral bands of information: blue, green, red and very-near infrared (VNIR). These images are referred to as Color Infrared (CIR) digital imagery.

CRMS site-level assessments of land-water coverage will be based off of color-infrared photography acquired for coastal Louisiana and clipped to each 1-km2 CRMS-Wetlands site. Unless otherwise noted as a specific preliminary condition, all vegetation such as scrub-shrub, emergent vegetation, and forested areas will fall under the land classification, while open water, non-vegetated, regularly flooded mud flats, and aquatic vegetation beds will be characterized as water.

CRMS imagery contracts are managed and issued by the United States Geological Survey (USGS) Wetland and Aquatic Research Center.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A standard operating procedures manual for the Coastwide Reference Monitoring System-Wetlands and the System-Wide Assessment and Monitoring Program: Methods for site establishment, data collection, and quality assurance/quality control","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Louisiana Coastal Protection and Restoration Authority","collaboration":"Coastal Protection and Restoration Authority of Louisiana","usgsCitation":"Folse, T.M., McGinnis, T., Sharp, L.A., West, J.L., Hymel, M.K., Troutman, J.P., Weifenbach, D., Boshart, W.M., Rodrigue, L.B., Richardi, D.C., Wood, W.B., Miller, C.M., Robinson, E.M., Freeman, A.M., Stagg, C., Couvillion, B., and Beck, H., 2020, Imagery, 5 p.","productDescription":"5 p.","startPage":"10-1","endPage":"10-5","ipdsId":"IP-120085","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research 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The U.S. Geological Survey Earthquake Hazards Program has overall successfully fulfilled its mission of providing timely earthquake information via web applications and other methods. Imagine a single month of earthquake data delivery, serving 3.6 billion total data requests, including 29 million pageviews by 7.1 million users, 606 million automated data feeds, and 45 million catalog downloads. Yet, some challenges and lapses in delivery have happened at critical times, including during the Ridgecrest earthquakes in 2019. We delve into the evolving demand for real‐time information as well as the technologies put in place to support the ever‐growing number of users in an increasingly mobile world.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200130","usgsCitation":"Leith, W.S., Fee, J., Martinez, E.M., and Lastowka, L.A., 2020, Now trending … Earthquake information: Seismological Research Letters, v. 91, no. 5, p. 2900-2903, https://doi.org/10.1785/0220200130.","productDescription":"4 p.","startPage":"2900","endPage":"2903","ipdsId":"IP-119902","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":387630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Leith, William S. 0000-0002-3463-3119","orcid":"https://orcid.org/0000-0002-3463-3119","contributorId":261659,"corporation":false,"usgs":true,"family":"Leith","given":"William","email":"","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fee, Jeremy 0000-0002-6851-2796 jmfee@usgs.gov","orcid":"https://orcid.org/0000-0002-6851-2796","contributorId":194758,"corporation":false,"usgs":true,"family":"Fee","given":"Jeremy","email":"jmfee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martinez, Eric M. 0000-0002-5697-5654","orcid":"https://orcid.org/0000-0002-5697-5654","contributorId":261660,"corporation":false,"usgs":true,"family":"Martinez","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lastowka, Lynda A. 0000-0001-5469-7577 llastowka@usgs.gov","orcid":"https://orcid.org/0000-0001-5469-7577","contributorId":261661,"corporation":false,"usgs":true,"family":"Lastowka","given":"Lynda","email":"llastowka@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820350,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227268,"text":"70227268 - 2020 - Ultraviolet-assisted oiling assessment improves detection of oiled birds experiencing clinical signs of hemolytic anemia after exposure to the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2022-01-06T15:02:36.641948","indexId":"70227268","displayToPublicDate":"2020-08-12T08:54:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Ultraviolet-assisted oiling assessment improves detection of oiled birds experiencing clinical signs of hemolytic anemia after exposure to the Deepwater Horizon oil spill","docAbstract":"

While large-scale oil spills can cause acute mortality events in birds, there is increasing evidence that sublethal oil exposure can trigger physiological changes that have implications for individual performance and survival. Therefore, improved methods for identifying small amounts of oil on birds are needed. Because ultraviolet (UV) light can be used to identify thin crude oil films in water and on substrate that are not visually apparent under normal lighting conditions, we hypothesized that UV light could be useful for detecting small amounts of oil present on the plumage of birds. We evaluated black skimmers (Rynchops niger), brown pelicans (Pelecanus occidentalis), clapper rails (Rallus crepitans), great egrets (Ardea alba), and seaside sparrows (Ammodramus maritimus) exposed to areas affected by the Deepwater Horizon oil spill in the Gulf of Mexico as well as from reference areas from 20 June, 2010 to 23 February, 2011. When visually assessed without UV light, 19.6% of birds evaluated from areas affected by the spill were determined to be oiled (previously published data), whereas when examined under UV light, 56.3% of the same birds were determined to have oil exposure. Of 705 individuals examined in areas potentially impacted by the spill, we found that fluorescence under UV light assessment identified 259 oiled birds that appeared to be oil-free on visual exam, supporting its utility as a simple tool for improving detection of modestly oiled birds in the field. Further, UV assessment revealed an increase in qualitative severity of oiling (approximate % of body surface oiled) in 40% of birds compared to what was determined on visual exam. Additionally, black skimmers, brown pelicans, and great egrets exposed to oil as determined using UV light experienced oxidative injury to erythrocytes, had decreased numbers of circulating erythrocytes, and showed evidence of a regenerative hematological response in the form of increased reticulocytes. This evidence of adverse effects was similar to changes identified in birds with oil exposure as determined by visual examination without UV light, and is consistent with hemolytic anemia likely caused by oil exposure. Thus, UV assessment proved useful for enhancing detection of birds exposed to oil, but did not increase detection of birds experiencing clinical signs of anemia compared to standard visual oiling assessment. We conclude that UV light evaluation can help identify oil exposure in many birds that would otherwise be identified visually as unexposed during oil spill events.

","language":"English","publisher":"Springer","doi":"10.1007/s10646-020-02255-8","usgsCitation":"Fallon, J.A., Smith, E.P., Shoch, N., Paruk, J., Adams, E., Evers, D., Jodice, P.G., Perkins, M., Meatty, D.E., and Hopkins, W., 2020, Ultraviolet-assisted oiling assessment improves detection of oiled birds experiencing clinical signs of hemolytic anemia after exposure to the Deepwater Horizon oil spill: Ecotoxicology, v. 29, p. 1399-1408, https://doi.org/10.1007/s10646-020-02255-8.","productDescription":"10 p.","startPage":"1399","endPage":"1408","ipdsId":"IP-107889","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467280,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s10646-020-02255-8","text":"External Repository"},{"id":393957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.2509765625,\n 26.15543796871355\n ],\n [\n -82.705078125,\n 26.15543796871355\n ],\n [\n -82.705078125,\n 30.600093873550072\n ],\n [\n -97.2509765625,\n 30.600093873550072\n ],\n [\n -97.2509765625,\n 26.15543796871355\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","noUsgsAuthors":false,"publicationDate":"2020-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Fallon, J. 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E.","contributorId":270963,"corporation":false,"usgs":false,"family":"Meatty","given":"D.","email":"","middleInitial":"E.","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":830217,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hopkins, W. A.","contributorId":270964,"corporation":false,"usgs":false,"family":"Hopkins","given":"W. 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Remote sensing tools are increasingly used for quantitative mapping of fluvial habitats, yet few techniques exist for continuous sampling of aquatic organisms, such as spawning salmonids. This study assessed the potential for spectrally based remote sensing of salmon spawning locations (i.e., redds) using data acquired from unmanned aircraft systems (UAS) along a large, gravel‐bed river. We developed a novel, semi‐automated approach for detecting salmon redds by applying machine learning classification and object detection techniques to UAS‐based imagery. We found that both true colour (RGB) and hyperspectral imagery could be used to identify salmon redds, though with varying degrees of accuracy. Redds were mapped with accuracies of ~0.75 from RGB imagery using logistic regression and support vector machines (SVM) classification algorithms, but this type of data could not be used to identify redds using Object‐based Image Analysis (OBIA). The hyperspectral imagery was more useful for mapping salmon redds, with accuracies greater than 0.9 for both logistic regression and SVM classifiers; OBIA of the hyperspectral data resulted in redd detection accuracies up to 0.86. The hyperspectral imagery also yielded complementary physical habitat information including water depth and substrate composition, which we quantified on the basis of a spectrally based chlorophyll absorption ratio. Overall, the hyperspectral imagery more effectively identified salmon spawning locations than RGB images and was more conducive to the classification approaches we evaluated. Each type of remotely sensed data had advantages and limitations, which are important for potential users to understand when incorporating UAS‐based data collection into river ecosystem studies.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.3690","usgsCitation":"Harrison, L.R., Legleiter, C.J., Overstreet, B., Bell, T., and Hannon, J., 2020, Assessing the potential for spectrally based remote sensing of salmon spawning locations: River Research and Applications, v. 36, no. 8, p. 1618-1632, https://doi.org/10.1002/rra.3690.","productDescription":"15 p.","startPage":"1618","endPage":"1632","ipdsId":"IP-116212","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":455651,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53362","text":"External Repository"},{"id":436822,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P998CGA2","text":"USGS data release","linkHelpText":"Image data and field measurements used to map salmon spawning locations via remote sensing, American River, California, November 5-7, 2018"},{"id":436821,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P998CGA2","text":"USGS data release","linkHelpText":"Image data and field measurements used to map salmon spawning locations via remote sensing, American River, California, November 5-7, 2018"},{"id":379296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"American River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.58544921875,\n 37.405073750176896\n ],\n [\n -120.61889648437501,\n 37.405073750176896\n ],\n [\n -120.61889648437501,\n 38.79690830348427\n ],\n [\n -122.58544921875,\n 38.79690830348427\n ],\n [\n -122.58544921875,\n 37.405073750176896\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":801131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":801132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overstreet, Brandon T.","contributorId":195597,"corporation":false,"usgs":false,"family":"Overstreet","given":"Brandon T.","affiliations":[],"preferred":false,"id":801133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell, Tomoko","contributorId":211310,"corporation":false,"usgs":false,"family":"Bell","given":"Tomoko","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":801134,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannon, John","contributorId":242931,"corporation":false,"usgs":false,"family":"Hannon","given":"John","affiliations":[{"id":48586,"text":"United States Bureau of Reclamation, Bay-Delta Office","active":true,"usgs":false}],"preferred":false,"id":801135,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218267,"text":"70218267 - 2020 - Financial risk innovation: Development of earthquake parametric triggers for contingent credit instruments","interactions":[],"lastModifiedDate":"2021-02-23T13:42:23.031728","indexId":"70218267","displayToPublicDate":"2020-08-12T07:40:47","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Financial risk innovation: Development of earthquake parametric triggers for contingent credit instruments","docAbstract":"

The Inter-American Development Bank (IDB) has developed financial risk management strategies for natural disasters focusing primarily on the emergency phase of the catastrophes where financial support is more cost-efficient and certainly most needed. The main IDB financial instrument to provide liquidity in the aftermath of catastrophic events is the Contingent Credit Facility (CCF). The CCF is a parametric financial insurance product that makes payments upon the occurrence of events of specific characteristics previously defined with the country. Specifically, in the case of earthquake coverage, the USGS and IDB have been collaborating together in order to improve the trigger design of the loans. CCF is now based on parametric triggers that correlate the magnitude, intensity, and population exposure of the event with the payments. This chapter presents the IDB journey to develop this state-of-the-art parametric index for CCF earthquakes pay offs.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Natural Disasters and Climate Change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1007/978-3-030-43708-4_1","usgsCitation":"Collich, G., Rosillo, R., Martinez, J., Wald, D.J., and Durante, J.J., 2020, Financial risk innovation: Development of earthquake parametric triggers for contingent credit instruments, chap. of Natural Disasters and Climate Change, p. 1-13, https://doi.org/10.1007/978-3-030-43708-4_1.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-120492","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":383596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Collich, Guillermo","contributorId":251887,"corporation":false,"usgs":false,"family":"Collich","given":"Guillermo","email":"","affiliations":[{"id":50410,"text":"Inter-American Development Bank (IDB); Washington, D.C., United States.","active":true,"usgs":false}],"preferred":false,"id":810773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosillo, Rafael","contributorId":251888,"corporation":false,"usgs":false,"family":"Rosillo","given":"Rafael","email":"","affiliations":[{"id":50412,"text":"University of Oviedo, Oviedo, Asturias, Spain.","active":true,"usgs":false}],"preferred":false,"id":810774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martinez, Juan","contributorId":251889,"corporation":false,"usgs":false,"family":"Martinez","given":"Juan","email":"","affiliations":[{"id":50410,"text":"Inter-American Development Bank (IDB); Washington, D.C., United States.","active":true,"usgs":false}],"preferred":false,"id":810775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":810776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Durante, Juan Jose","contributorId":251890,"corporation":false,"usgs":false,"family":"Durante","given":"Juan","email":"","middleInitial":"Jose","affiliations":[{"id":50410,"text":"Inter-American Development Bank (IDB); Washington, D.C., United States.","active":true,"usgs":false}],"preferred":false,"id":810777,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236101,"text":"70236101 - 2020 - The GFDL Earth System Model Version 4.1 (GFDL-ESM 4.1): Overall coupled model description and simulation characteristics","interactions":[],"lastModifiedDate":"2022-08-29T12:24:55.60819","indexId":"70236101","displayToPublicDate":"2020-08-12T07:17:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12561,"text":"Journal of Advances in Modeling Earth Systems (JAMES)","active":true,"publicationSubtype":{"id":10}},"title":"The GFDL Earth System Model Version 4.1 (GFDL-ESM 4.1): Overall coupled model description and simulation characteristics","docAbstract":"

We describe the baseline coupled model configuration and simulation characteristics of GFDL's Earth System Model Version 4.1 (ESM4.1), which builds on component and coupled model developments at GFDL over 2013–2018 for coupled carbon-chemistry-climate simulation contributing to the sixth phase of the Coupled Model Intercomparison Project. In contrast with GFDL's CM4.0 development effort that focuses on ocean resolution for physical climate, ESM4.1 focuses on comprehensiveness of Earth system interactions. ESM4.1 features doubled horizontal resolution of both atmosphere (2° to 1°) and ocean (1° to 0.5°) relative to GFDL's previous-generation coupled ESM2-carbon and CM3-chemistry models. ESM4.1 brings together key representational advances in CM4.0 dynamics and physics along with those in aerosols and their precursor emissions, land ecosystem vegetation and canopy competition, and multiday fire; ocean ecological and biogeochemical interactions, comprehensive land-atmosphere-ocean cycling of CO2, dust and iron, and interactive ocean-atmosphere nitrogen cycling are described in detail across this volume of JAMES and presented here in terms of the overall coupling and resulting fidelity. ESM4.1 provides much improved fidelity in CO2 and chemistry over ESM2 and CM3, captures most of CM4.0's baseline simulations characteristics, and notably improves on CM4.0 in (1) Southern Ocean mode and intermediate water ventilation, (2) Southern Ocean aerosols, and (3) reduced spurious ocean heat uptake. ESM4.1 has reduced transient and equilibrium climate sensitivity compared to CM4.0. Fidelity concerns include (1) moderate degradation in sea surface temperature biases, (2) degradation in aerosols in some regions, and (3) strong centennial scale climate modulation by Southern Ocean convection.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019MS002015","usgsCitation":"Dunne, J., Horowitz, L., Adcroft, A., Ginoux, P., Held, I., Johns, J., Krasting, J.P., Malyshev, S., Naik, V., Paulot, F., Shevliakova, E., Stock, C.A., Zadeh, N., Balaji, V., Blanton, C., Dupuis, C., Durachta, J., Dussin, R., Gauthier, P., Griffies, S.M., Guo, H., Hallberg, R.W., Harrison, M.J., He, J., Hurlin, W., McHugh, C.W., Menzel, R., Milly, P.C., Nikonov, S., Paynter, D., Ploshay, J., Radhakrishnan, A., Rand, K., Reichel, B., Robinson, T., Schwarzkopf, M., Sentman, L., Underwood, S., Vahlenkamp, H., Winton, M., Wittenberg, A.T., Wyman, B., Zeng, Y., and Zhao, M., 2020, The GFDL Earth System Model Version 4.1 (GFDL-ESM 4.1): Overall coupled model description and simulation characteristics: Journal of Advances in Modeling Earth Systems (JAMES), v. 12, no. 11, e2019MS002015, 56 p., https://doi.org/10.1029/2019MS002015.","productDescription":"e2019MS002015, 56 p.","ipdsId":"IP-114910","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":455653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019ms002015","text":"Publisher Index Page"},{"id":405786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunne, John P","contributorId":295833,"corporation":false,"usgs":false,"family":"Dunne","given":"John P","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":850023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horowitz, L W","contributorId":295834,"corporation":false,"usgs":false,"family":"Horowitz","given":"L W","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":850024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adcroft, A.","contributorId":295835,"corporation":false,"usgs":false,"family":"Adcroft","given":"A.","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":850025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ginoux, P.","contributorId":203821,"corporation":false,"usgs":false,"family":"Ginoux","given":"P.","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":850026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Held, I.M.","contributorId":295836,"corporation":false,"usgs":false,"family":"Held","given":"I.M.","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":850027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johns, J.C.H.","contributorId":260418,"corporation":false,"usgs":false,"family":"Johns","given":"J.C.H.","email":"","affiliations":[],"preferred":false,"id":850028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krasting, John P.","contributorId":287424,"corporation":false,"usgs":false,"family":"Krasting","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":61580,"text":"NOAA Geophysical Fluid Dynamics Lab","active":true,"usgs":false}],"preferred":false,"id":850029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Malyshev, Sergey","contributorId":201588,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":850030,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Naik, V.","contributorId":203832,"corporation":false,"usgs":false,"family":"Naik","given":"V.","email":"","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":850031,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Paulot, F.","contributorId":203833,"corporation":false,"usgs":false,"family":"Paulot","given":"F.","email":"","affiliations":[{"id":36728,"text":"Princton Univ.","active":true,"usgs":false}],"preferred":false,"id":850032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shevliakova, Elena","contributorId":201589,"corporation":false,"usgs":false,"family":"Shevliakova","given":"Elena","email":"","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":850033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stock, C. 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2020 - Hydrology and geomorphology of the Taiya River near the West Creek Tributary, southeast Alaska","interactions":[],"lastModifiedDate":"2020-08-12T14:26:37.531465","indexId":"sir20205059","displayToPublicDate":"2020-08-11T14:15:21","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5059","displayTitle":"Hydrology and Geomorphology of the Taiya River Near the West Creek Tributary, Southeast Alaska","title":"Hydrology and geomorphology of the Taiya River near the West Creek Tributary, southeast Alaska","docAbstract":"

The Taiya River flows through the Chilkoot Trail Unit of Klondike Gold Rush National Historical Park in southeast Alaska, which was founded to preserve cultural and historical resources and further understanding of natural processes active in the surrounding coastal-to-subarctic basin. Riverine processes exert an important influence on ecologically important boreal toad (Anaxryus boreas boreas), salmon [chum salmon (Oncorhynchus keta), pink salmon (O. gorbushca), and coho salmon (O. kisutch)], and eulachon (Thaleichthys pacificus) habitats, erosion of the historic ghost town of Dyea and other cultural and historical artifacts, and recreational opportunities in the lower 7.5 kilometers (km) of the Taiya River valley bottom. Recurrent consideration of hydroelectric development in West Creek upstream of the park since the 1980s has included proposals for damming and diverting West Creek, which could alter the delivery of water and sediment to this section of the Taiya River. To improve understanding of the hydrologic dependence of park resources for the purposes of guiding effective monitoring and conservation, this study, conducted by the U.S. Geological Survey in cooperation with the National Park Service, used a review of hydrologic data, collection of discrete suspended sediment data, geomorphic mapping, and analysis of historical aerial and ground photographs in a reconnaissance of formative geomorphic processes and hydrologic conditions in the lower 7.5 km of the Taiya River valley bottom.

Streamflow and suspended sediment data collected at the U.S. Geological Survey streamgages on the Taiya River and West Creek, combined with historical data, document conditions consistent with streams draining strongly glacierized basins in Alaska. Suspended sediment concentrations from samples collected concurrently over six varying flow levels during 2017–18 ranged from 6 to 284 milligrams per liter (mg/L) for the Taiya River and 13 to 162 mg/L for West Creek, which are similar to or slightly higher than historical values. For the common period of record (1970–77), correlation of daily mean discharge between the two streams was strongest (Pearson’s r = 0.97) during the prolonged May–October high-flow season and weakest (r = 0.90) during the November–April low-flow season, when West Creek daily mean discharge was proportionally higher. For the Taiya River, streamflow data compared between the available periods of record (1970–77 and 2004–17) showed no decadal-scale patterns in mean annual discharge but did show a shift toward an earlier spring snowmelt pulse. Notable flooding in the Taiya River Basin includes glacial lake outburst floods from the Nourse River valley prior to and during the 1897–98 Gold Rush, a 2002 glacial lake outburst flood from the West Creek valley, and a 1967 rainfall-generated flood.

Geomorphic mapping identified four categories of surfaces in the valley bottom—active main stem, abandoned main stem, alluvial fans, and emergent tidal surfaces. Using the maps, main-stem surfaces were subdivided into age categories to identify channel migration patterns from prior to 1940s to 2018. The valley bottom is dominated by active or abandoned channels of the Taiya River except at the extensive low-angle West Creek fan. The active main stem presently supports a mostly single-thread channel with bars and a few sloughs, but the channel actively moved and sometimes was braided within multiple, wider unvegetated corridors in 1894 and earlier. An inventory of 29 off-main-stem channels identified for the study indicates that abandoned main stem channels provide local topographic lows that can intercept groundwater or sustain tributary flow, facilitating the formation of most nonestuarine wetlands in the valley and sustaining important boreal toad breeding habitat.

Within the active main stem corridor, the channel has episodically built and reworked meanders and bars, eroding more than one-half of the historic Dyea townsite, in response to glacially controlled delivery of water and sediment, flooding, inputs from West Creek, local features including large woody debris and beaver dams, and rapid uplift from isostatic rebound. West Creek has constructed a large, persistent fan, provoked kilometer-scale Taiya River channel change near the confluence, constructively added to high-season streamflow that affects Taiya River channel migration capacity, disproportionately contributed early-season streamflow, and possibly contributed to groundwater levels in the valley bottom. The progressive narrowing and stability of the main stem corridor, possibly a result of reduction in the magnitude or frequency of glacial lake outburst floods or glacial sediment delivery to streams, indicates less active future reworking of abandoned main-stem surfaces or regeneration of wetland features. The fluvial history of the Taiya River valley bottom collectively indicates continued channel change within a limited corridor, relative stability in wetland locations but uncertainty in stability of groundwater supply to them, and channel incision and extension in response to uplift.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205059","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Curran, J.H., 2020, Hydrology and geomorphology of the Taiya River near the West Creek Tributary, southeast Alaska: U.S. Geological Survey Scientific Investigations Report 2020–5059, 57 p., https://doi.org/10.3133/sir20205059.","productDescription":"Report: viii, 57 p.; Data Release","numberOfPages":"57","onlineOnly":"Y","ipdsId":"IP-102183","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":376975,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5059/covrthb.jpg"},{"id":376976,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5059/sir20205059.pdf","text":"Report","size":"11 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":376977,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XP1SE7","linkHelpText":"Geomorphic surface and channel boundaries for the lower 7.5 kilometers of the Taiya River Valley, southeast Alaska, 2018"}],"country":"United States","state":"Alaska","otherGeospatial":"Taiya River Near the West Creek Tributary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -137.5927734375,\n 57.71588512774503\n ],\n [\n -135,\n 57.657157596582984\n ],\n [\n -132.64892578125,\n 57.621875380195455\n ],\n [\n -132.64892578125,\n 59.877911874831156\n ],\n [\n -137.61474609375,\n 59.877911874831156\n ],\n [\n -137.5927734375,\n 57.71588512774503\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508

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