{"pageNumber":"187","pageRowStart":"4650","pageSize":"25","recordCount":68802,"records":[{"id":70223352,"text":"70223352 - 2021 - A typology of drought decision making: Synthesizing across cases to understand drought preparedness and response actions","interactions":[],"lastModifiedDate":"2021-08-24T12:47:03.61403","indexId":"70223352","displayToPublicDate":"2021-07-31T07:43:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9149,"text":"Weather and Climate Extremes","active":true,"publicationSubtype":{"id":10}},"title":"A typology of drought decision making: Synthesizing across cases to understand drought preparedness and response actions","docAbstract":"

Drought is an inescapable reality in many regions, including much of the western United States. With climate change, droughts are predicted to intensify and occur more frequently, making the imperative for drought management even greater. Many diverse actors – including private landowners, business owners, scientists, non-governmental organizations (NGOs), and managers and policymakers within tribal, local, state, and federal government agencies – play multiple, often overlapping roles in preparing for and responding to drought. Managing water is, of course, one of the most important roles that humans play in both mitigating and responding to droughts; but, focusing only on “water managers” or “water management” fails to capture key elements related to the broader category of drought management. The respective roles played by those managing drought (as distinct from water managers), the interactions among them, and the consequences in particular contexts, are not well understood. Our team synthesized insights from 10 in-depth case studies to understand key facets of decision making about drought preparedness and response. We present a typology with four elements that collectively describe how decisions about drought preparedness and response are made (context and objective for a decision; actors responsible; choice being made or action taken; and how decisions interact with and influence other decisions). The typology provides a framework for system-level understanding of how and by whom complex decisions about drought management are made. Greater system-level understanding helps decision makers, program and research funders, and scientists to identify constraints to and opportunities for action, to learn from the past, and to integrate ecological impacts, thereby facilitating social learning among diverse participants in drought preparedness and response.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.wace.2021.100362","usgsCitation":"Cravens, A.E., Henderson, J., Friedman, J., Burkardt, N., Cooper, A.E., Haigh, T., Hayes, M., McEvoy, J., Paladino, S., Wilke, A., and Wilmer, H., 2021, A typology of drought decision making: Synthesizing across cases to understand drought preparedness and response actions: Weather and Climate Extremes, v. 33, 100362, 15 p., https://doi.org/10.1016/j.wace.2021.100362.","productDescription":"100362, 15 p.","ipdsId":"IP-114785","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451323,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.wace.2021.100362","text":"Publisher Index Page"},{"id":388409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colordao, Idaho, Montana, New Mexico, Oklahoma, Oregon, South Dakota, Utah, 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Jack","contributorId":264668,"corporation":false,"usgs":false,"family":"Friedman","given":"Jack","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":821832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, Ashley E. 0000-0001-9817-4444","orcid":"https://orcid.org/0000-0001-9817-4444","contributorId":257654,"corporation":false,"usgs":true,"family":"Cooper","given":"Ashley","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haigh, Tonya","contributorId":204248,"corporation":false,"usgs":false,"family":"Haigh","given":"Tonya","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":821835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayes, Michael","contributorId":192358,"corporation":false,"usgs":false,"family":"Hayes","given":"Michael","affiliations":[],"preferred":false,"id":821836,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McEvoy, Jamie","contributorId":197223,"corporation":false,"usgs":false,"family":"McEvoy","given":"Jamie","affiliations":[],"preferred":false,"id":821837,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Paladino, Stephanie","contributorId":264673,"corporation":false,"usgs":false,"family":"Paladino","given":"Stephanie","email":"","affiliations":[{"id":54536,"text":"MeroLek Research","active":true,"usgs":false}],"preferred":false,"id":821838,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wilke, Adam","contributorId":217942,"corporation":false,"usgs":false,"family":"Wilke","given":"Adam","email":"","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":821839,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wilmer, Hailey","contributorId":245345,"corporation":false,"usgs":false,"family":"Wilmer","given":"Hailey","email":"","affiliations":[],"preferred":false,"id":821840,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70223685,"text":"70223685 - 2021 - Multiple climate change-driven tipping points for coastal systems","interactions":[],"lastModifiedDate":"2021-09-01T12:43:11.933949","indexId":"70223685","displayToPublicDate":"2021-07-30T07:40:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8955,"text":"Nature--Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Multiple climate change-driven tipping points for coastal systems","docAbstract":"

As the climate evolves over the next century, the interaction of accelerating sea level rise (SLR) and storms, combined with confining development and infrastructure, will place greater stresses on physical, ecological, and human systems along the ocean-land margin. Many of these valued coastal systems could reach “tipping points,” at which hazard exposure substantially increases and threatens the present-day form, function, and viability of communities, infrastructure, and ecosystems. Determining the timing and nature of these tipping points is essential for effective climate adaptation planning. Here we present a multidisciplinary case study from Santa Barbara, California (USA), to identify potential climate change-related tipping points for various coastal systems. This study integrates numerical and statistical models of the climate, ocean water levels, beach and cliff evolution, and two soft sediment ecosystems, sandy beaches and tidal wetlands. We find that tipping points for beaches and wetlands could be reached with just 0.25 m or less of SLR (~ 2050), with > 50% subsequent habitat loss that would degrade overall biodiversity and ecosystem function. In contrast, the largest projected changes in socioeconomic exposure to flooding for five communities in this region are not anticipated until SLR exceeds 0.75 m for daily flooding and 1.5 m for storm-driven flooding (~ 2100 or later). These changes are less acute relative to community totals and do not qualify as tipping points given the adaptive capacity of communities. Nonetheless, the natural and human built systems are interconnected such that the loss of natural system function could negatively impact the quality of life of residents and disrupt the local economy, resulting in indirect socioeconomic impacts long before built infrastructure is directly impacted by flooding.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-021-94942-7","usgsCitation":"Barnard, P.L., Dugan, J., Page, H.M., Wood, N.J., Finzi Hart, J., Cayan, D., Erikson, L.H., Hubbard, D., Myers, M., Melack, J.M., and Iacobellis, S.F., 2021, Multiple climate change-driven tipping points for coastal systems: Nature--Scientific Reports, v. 11, 15560, 13 p., https://doi.org/10.1038/s41598-021-94942-7.","productDescription":"15560, 13 p.","ipdsId":"IP-117825","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-94942-7","text":"Publisher Index Page"},{"id":388719,"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 -120.61889648437501,\n 34.125447565116126\n ],\n [\n -119.06982421874999,\n 34.125447565116126\n ],\n [\n -119.06982421874999,\n 34.59704151614417\n ],\n [\n -120.61889648437501,\n 34.59704151614417\n ],\n [\n -120.61889648437501,\n 34.125447565116126\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2021-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":822314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugan, Jenifer","contributorId":174980,"corporation":false,"usgs":false,"family":"Dugan","given":"Jenifer","affiliations":[],"preferred":false,"id":822315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Page, Henry M.","contributorId":219352,"corporation":false,"usgs":false,"family":"Page","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":822316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":822317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finzi Hart, Juliette A.","contributorId":214270,"corporation":false,"usgs":false,"family":"Finzi Hart","given":"Juliette A.","affiliations":[],"preferred":false,"id":822318,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cayan, Daniel","contributorId":213044,"corporation":false,"usgs":false,"family":"Cayan","given":"Daniel","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":822319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":822320,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hubbard, David A.","contributorId":62540,"corporation":false,"usgs":false,"family":"Hubbard","given":"David A.","affiliations":[],"preferred":false,"id":822321,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Myers, Monique","contributorId":219345,"corporation":false,"usgs":false,"family":"Myers","given":"Monique","email":"","affiliations":[{"id":39996,"text":"California Sea Grant","active":true,"usgs":false}],"preferred":false,"id":822322,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Melack, John M.","contributorId":219351,"corporation":false,"usgs":false,"family":"Melack","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":822323,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Iacobellis, Samuel F.","contributorId":219350,"corporation":false,"usgs":false,"family":"Iacobellis","given":"Samuel","email":"","middleInitial":"F.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":822324,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70224644,"text":"70224644 - 2021 - Ontogenetic trait shifts: Seedlings display high trait variability during early stages of development","interactions":[],"lastModifiedDate":"2021-11-16T15:46:48.00453","indexId":"70224644","displayToPublicDate":"2021-07-30T07:33:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ontogenetic trait shifts: Seedlings display high trait variability during early stages of development","docAbstract":"
  1. Characterizing variation in plant functional traits is often key to understanding community-level processes and predicting ecosystem responses to environmental change. Trait-based ecology has focused on interspecific trait variation, but sources and consequences of within-species ontogenetic trait variation, particularly during early stages of development, remain understudied.
  2. Using a manipulative greenhouse experiment, we investigated trait variation during early stages of seedling development in seven dominant perennial plant species in the western United States. We examined variability in key trait values (i.e. SLA, root:shoot ratio (RSR), specific root length (SRL) and root dry matter content (RDMC)) of 20- to 62-day-old seedlings grown under low and high levels of water availability. We also compared these to compiled trait databases to assess how representative these readily available data sources are of seedling trait values.
  3. Early seedling trait values shifted greatly during early stages of development and generally differed from average plant trait database values. Trait shifts were greatest in forbs versus grasses. Overall, observed trait shifts suggested a transition from fast-growing resource acquisitional strategies towards more slow-growing conservative strategies over time. For example, seedling SLA decreased while RSR and RDMC increased over time.
  4. That seedling trait values aconsistently differed from trait database values indicates that plant trait database values may be poor predictors of seedling trait values. Such mismatches in species trait information could result in inaccurate predictions of community assembly outcomes or incongruities between seedling traits and environmental filters experienced by seedlings during early stages of recruitment in applied settings.
  5. We suggest that additional work is needed to characterize intraspecific trait variation across plant ontogeny, and that this information should be incorporated into studies ranging from understanding early plant growth and survival to evaluating the outcomes of ecological restoration.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.13897","usgsCitation":"Havrilla, C.A., Munson, S.M., Yackulic, C., and Butterfield, B.J., 2021, Ontogenetic trait shifts: Seedlings display high trait variability during early stages of development: Functional Ecology, v. 35, no. 11, p. 2409-2423, https://doi.org/10.1111/1365-2435.13897.","productDescription":"15 p.","startPage":"2409","endPage":"2423","ipdsId":"IP-124284","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":436256,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OKKJ1B","text":"USGS data release","linkHelpText":"Plant trait and soil moisture data associated with ontogenetic trait shifts - seedlings display high trait variability during early stages of development"},{"id":390102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Havrilla, Caroline Ann 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":228882,"corporation":false,"usgs":true,"family":"Havrilla","given":"Caroline","email":"","middleInitial":"Ann","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":824521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":824523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223322,"text":"70223322 - 2021 - Storm-scale and seasonal dynamics of carbon export from a nested subarctic watershed underlain by permafrost","interactions":[],"lastModifiedDate":"2021-08-24T12:04:28.137925","indexId":"70223322","displayToPublicDate":"2021-07-29T18:02:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7359,"text":"Journal of Geophysical Research Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Storm-scale and seasonal dynamics of carbon export from a nested subarctic watershed underlain by permafrost","docAbstract":"

Subarctic catchments underlain by permafrost sequester a major stock of frozen organic carbon (C), which may be mobilized as the Arctic warms. Warming can impact C export from thawing soils by altering the depth and timing of runoff related to changing storm and fire regimes and altered soil thaw depths. We investigated C export in a first order headwater stream (West Twin Creek) and its receiving third order river (Beaver Creek) in interior Alaska using discrete sampling of dissolved organic and inorganic C (DOC and DIC) and 15-min collection of specific conductance (SC), fluorescent dissolved organic matter (fDOM) and water discharge (Q). Storm SC-Q relationships displayed negative slopes, indicating solute limitation and limited influence of seasonal soil thaw on storm runoff chemistry. Concurrently, fDOM-Q displayed positive slopes that decreased over the summer, indicating flushing of a limited fDOM pool. Baseflow DIC increased over the season concurrent with soil thaw, with higher DIC at the larger scale indicating greater influence of deeper, mineral-rich flow paths. Storm and seasonal trends were generally similar at both scales. The biggest difference was in fDOM, which displayed higher concentrations and slower depletion in the first order stream. Improved process understanding from this study can be used to better predict carbon export and cycling by stream networks as northern forests and arctic regions continue to warm.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021jg006268","usgsCitation":"Koch, J.C., Dornblaser, M., and Striegl, R., 2021, Storm-scale and seasonal dynamics of carbon export from a nested subarctic watershed underlain by permafrost: Journal of Geophysical Research Biogeosciences, v. 126, no. 8, e2021JG006268, 15 p., https://doi.org/10.1029/2021jg006268.","productDescription":"e2021JG006268, 15 p.","ipdsId":"IP-125754","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":451344,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021jg006268","text":"Publisher Index Page"},{"id":388398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River, Beaver Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -147.8759765625,\n 65.45826097864811\n ],\n [\n -144.0087890625,\n 65.45826097864811\n ],\n [\n -144.0087890625,\n 67.28901521116026\n ],\n [\n -147.8759765625,\n 67.28901521116026\n ],\n [\n -147.8759765625,\n 65.45826097864811\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":821732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dornblaser, Mark 0000-0002-6298-3757","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":220741,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":821733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Striegl, Rob 0000-0002-8251-4659","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":264605,"corporation":false,"usgs":false,"family":"Striegl","given":"Rob","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":821734,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70224300,"text":"70224300 - 2021 - FLUXNET-CH4: A global, multi-ecosystem database and analysis of methane seasonality from freshwater wetlands","interactions":[],"lastModifiedDate":"2021-09-21T15:05:21.492772","indexId":"70224300","displayToPublicDate":"2021-07-29T09:56:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"displayTitle":"FLUXNET-CH4: A global, multi-ecosystem database and analysis of methane seasonality from freshwater wetlands","title":"FLUXNET-CH4: A global, multi-ecosystem database and analysis of methane seasonality from freshwater wetlands","docAbstract":"

Methane (CH4) emissions from natural landscapes constitute roughly half of global CH4 contributions to the atmosphere, yet large uncertainties remain in the absolute magnitude and the seasonality of emission quantities and drivers. Eddy covariance (EC) measurements of CH4 flux are ideal for constraining ecosystem-scale CH4 emissions due to quasi-continuous and high-temporal-resolution CH4 flux measurements, coincident carbon dioxide, water, and energy flux measurements, lack of ecosystem disturbance, and increased availability of datasets over the last decade. Here, we (1) describe the newly published dataset, FLUXNET-CH4 Version 1.0, the first open-source global dataset of CH4 EC measurements (available at https://fluxnet.org/data/fluxnet-ch4-community-product/, last access: 7 April 2021). FLUXNET-CH4 includes half-hourly and daily gap-filled and non-gap-filled aggregated CH4 fluxes and meteorological data from 79 sites globally: 42 freshwater wetlands, 6 brackish and saline wetlands, 7 formerly drained ecosystems, 7 rice paddy sites, 2 lakes, and 15 uplands. Then, we (2) evaluate FLUXNET-CH4 representativeness for freshwater wetland coverage globally because the majority of sites in FLUXNET-CH4 Version 1.0 are freshwater wetlands which are a substantial source of total atmospheric CH4 emissions; and (3) we provide the first global estimates of the seasonal variability and seasonality predictors of freshwater wetland CH4 fluxes. Our representativeness analysis suggests that the freshwater wetland sites in the dataset cover global wetland bioclimatic attributes (encompassing energy, moisture, and vegetation-related parameters) in arctic, boreal, and temperate regions but only sparsely cover humid tropical regions. Seasonality metrics of wetland CH4 emissions vary considerably across latitudinal bands. In freshwater wetlands (except those between 20∘ S to 20∘ N) the spring onset of elevated CH4 emissions starts 3 d earlier, and the CH4 emission season lasts 4 d longer, for each degree Celsius increase in mean annual air temperature. On average, the spring onset of increasing CH4 emissions lags behind soil warming by 1 month, with very few sites experiencing increased CH4 emissions prior to the onset of soil warming. In contrast, roughly half of these sites experience the spring onset of rising CH4 emissions prior to the spring increase in gross primary productivity (GPP). The timing of peak summer CH4 emissions does not correlate with the timing for either peak summer temperature or peak GPP. Our results provide seasonality parameters for CH4 modeling and highlight seasonality metrics that cannot be predicted by temperature or GPP (i.e., seasonality of CH4 peak). FLUXNET-CH4 is a powerful new resource for diagnosing and understanding the role of terrestrial ecosystems and climate drivers in the global CH4 cycle, and future additions of sites in tropical ecosystems and site years of data collection will provide added value to this database. All seasonality parameters are available at https://doi.org/10.5281/zenodo.4672601 (Delwiche et al., 2021). Additionally, raw FLUXNET-CH4 data used to extract seasonality parameters can be downloaded from https://fluxnet.org/data/fluxnet-ch4-community-product/ (last access: 7 April 2021), and a complete list of the 79 individual site data DOIs is provided in Table 2 of this paper.

","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-13-3607-2021","usgsCitation":"Delwiche, K.B., Knox, S., Malhotra, A., Fluet-Chouinard, E., McNicol, G., Feron, S., Ouyang, Z., Papale, D., Trotta, C., Canfora, E., Cheah, Y., Christianson, D., Alberto, M.C., Alekseychik, P., Aurela, M., Baldocchi, D., Bansal, S., Billesbach, D.P., Bohrer, G., Bracho, R., Buchmann, N., Campbell, D.I., Celis, G., Chen, W., Chen, J., Chu, H., Dalmagro, H.J., Dengel, S., Desai, A.R., Detto, M., Dolman, H., Eichelmann, E., Euskirchen, E.S., Famulari, D., Fuchs, K., Goeckede, M., Gogo, S., Gondwe, M., Goodrich, J.P., Gottschalk, P., Graham, S.L., Heimann, M., Helbig, M., Helfter, C., Hemes, K.S., Hirano, T., Hollinger, D., Hortnagl, L., Iwata, H., Jacotot, A., Jansen, J., Jurasinski, G., Kang, M., Kasak, K., King, J., Klatt, J., Koebsch, F., Krauss, K., Lai, D.Y., Lohila, A., Mammarella, I., Marchesini, L.B., Manca, G., Matthes, J.H., Maximov, T., Merbold, L., Mitra, B., Morin, T.H., Nemitz, E., Nilsson, M.B., Niu, S., Oechel, W.C., Oikawa, P.Y., Ono, K., Peichl, M., Peltola, O., Reba, M.L., Richardson, A.D., Riley, W., Runkle, B.R., Ryu, Y., Sachs, T., Sakabe, A., Sanchez, C.R., Schuur, E.A., Schafer, K.V., Sonnentag, O., Sparks, J.P., Stuart-Haëntjens, E., Sturtevant, C., Sullivan, R.C., Szutu, D., Thom, J.E., Torn, M.S., Tuittila, E., Turner, J., Ueyama, M., Valach, A.C., Vargas, R., Varlagin, A., Vazquez-Lule, A., Verfaillie, J.G., Vesala, T., Vourlitis, G.L., Ward, E., Wille, C., Wohlfahrt, G., Xhuan Wong, G., Zhang, Z., Zona, D., Windham-Myers, L., Poulter, B., and Jackson, R.B., 2021, FLUXNET-CH4: A global, multi-ecosystem database and analysis of methane seasonality from freshwater wetlands: Earth System Science Data, v. 13, p. 3607-3689, https://doi.org/10.5194/essd-13-3607-2021.","productDescription":"83 p.","startPage":"3607","endPage":"3689","ipdsId":"IP-122238","costCenters":[{"id":438,"text":"National Research Program - 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Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":823617,"contributorType":{"id":1,"text":"Authors"},"rank":111},{"text":"Poulter, Benjamin 0000-0002-9493-8600","orcid":"https://orcid.org/0000-0002-9493-8600","contributorId":200477,"corporation":false,"usgs":false,"family":"Poulter","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":823618,"contributorType":{"id":1,"text":"Authors"},"rank":112},{"text":"Jackson, Robert B. 0000-0001-8846-7147","orcid":"https://orcid.org/0000-0001-8846-7147","contributorId":34252,"corporation":false,"usgs":false,"family":"Jackson","given":"Robert","email":"","middleInitial":"B.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":823619,"contributorType":{"id":1,"text":"Authors"},"rank":113}]}} ,{"id":70222931,"text":"70222931 - 2021 - Highly pathogenic avian influenza virus H5N2 (Clade 2.3.4.4) challenge of mallards age appropriate to the 2015 midwestern poultry outbreak","interactions":[],"lastModifiedDate":"2021-11-01T15:43:22.406864","indexId":"70222931","displayToPublicDate":"2021-07-29T09:47:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1990,"text":"Influenza and Other Respiratory Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Highly pathogenic avian influenza virus H5N2 (Clade 2.3.4.4) challenge of mallards age appropriate to the 2015 midwestern poultry outbreak","docAbstract":"

Background

The 2015 highly pathogenic avian influenza virus (HPAIV) H5N2 clade 2.3.4.4 outbreak in upper midwestern U.S. poultry operations was not detected in wild birds to any great degree during the outbreak, despite wild waterfowl being implicated in the introduction, reassortment, and movement of the virus into North America from Asia. This outbreak led to the demise of over 50 million domestic birds and occurred mainly during the northward spring migration of adult avian populations.

Objectives

There have been no experimental examinations of the pathogenesis, transmission, and population impacts of this virus in adult wild waterfowl with varying exposure histories—the most relevant age class.

Methods

We captured, housed, and challenged adult wild mallards (Anas platyrhynchos) with HPAIV H5N2 clade 2.3.4.4 and measured viral infection, viral excretion, and transmission to other mallards.

Results

All inoculated birds became infected and excreted moderate amounts of virus, primarily orally, for up to 14 days. Cohoused, uninoculated birds also all became infected. Serological status had no effect on susceptibility. There were no obvious clinical signs of disease, and all birds survived to the end of the study (14 days).

Conclusions

Based on these results, adult mallards are viable hosts of HPAIV H5N2 regardless of prior exposure history and are capable of transporting the virus over short and long distances. These findings have implications for surveillance efforts. The capture and sampling of wild waterfowl in the spring, when most surveillance programs are not operating, are important to consider in the design of future HPAIV surveillance programs.

","language":"English","publisher":"Wiley","doi":"10.1111/irv.12886","usgsCitation":"Hall, J.S., Grear, D.A., Krauss, S., Seiler, P., Dusek, R.J., Nashold, S., and Webster, R., 2021, Highly pathogenic avian influenza virus H5N2 (Clade 2.3.4.4) challenge of mallards age appropriate to the 2015 midwestern poultry outbreak: Influenza and Other Respiratory Viruses, v. 15, no. 6, p. 767-777, https://doi.org/10.1111/irv.12886.","productDescription":"11 p.","startPage":"767","endPage":"777","ipdsId":"IP-126988","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":451359,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/irv.12886","text":"External Repository"},{"id":387814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Horicon National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.70361328125,\n 43.52465500687185\n ],\n [\n -88.5779571533203,\n 43.526148603236294\n ],\n [\n -88.56834411621094,\n 43.542077996722796\n ],\n [\n -88.6102294921875,\n 43.59133291164543\n ],\n [\n -88.60061645507812,\n 43.628620426937886\n ],\n [\n -88.62876892089844,\n 43.65197548731187\n ],\n [\n -88.66584777832031,\n 43.64949133795468\n ],\n [\n -88.69194030761719,\n 43.625141236940564\n ],\n [\n -88.70361328125,\n 43.58635949637695\n ],\n [\n -88.69194030761719,\n 43.557007981627656\n ],\n [\n -88.68438720703125,\n 43.531624806844356\n ],\n [\n -88.70361328125,\n 43.52465500687185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":820847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":820848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Scott","contributorId":190854,"corporation":false,"usgs":false,"family":"Krauss","given":"Scott","email":"","affiliations":[],"preferred":false,"id":820849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seiler, Patrick","contributorId":263433,"corporation":false,"usgs":false,"family":"Seiler","given":"Patrick","email":"","affiliations":[{"id":53983,"text":"St. Jude Children’s Research Hospital, Memphis, Tennessee","active":true,"usgs":false}],"preferred":false,"id":820850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":820851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nashold, Sean 0000-0002-8869-6633","orcid":"https://orcid.org/0000-0002-8869-6633","contributorId":214978,"corporation":false,"usgs":true,"family":"Nashold","given":"Sean","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":820852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Webster, Robert G.","contributorId":263434,"corporation":false,"usgs":false,"family":"Webster","given":"Robert G.","affiliations":[{"id":53983,"text":"St. Jude Children’s Research Hospital, Memphis, Tennessee","active":true,"usgs":false}],"preferred":false,"id":820853,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70229674,"text":"70229674 - 2021 - Eastern Imperial Eagle Aquila heliaca","interactions":[],"lastModifiedDate":"2022-03-14T16:46:33.701118","indexId":"70229674","displayToPublicDate":"2021-07-29T08:21:12","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Eastern Imperial Eagle Aquila heliaca","docAbstract":"

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

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Migration strategies of birds of prey in sestern Palearctic","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Bragin, E., Horvath, M., Poessel, S.A., and Katzner, T., 2021, Eastern Imperial Eagle Aquila heliaca, chap. 12 of Migration strategies of birds of prey in sestern Palearctic, 8 p,.","productDescription":"8 p,","ipdsId":"IP-112041","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":397058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bragin, Evgeny","contributorId":288428,"corporation":false,"usgs":false,"family":"Bragin","given":"Evgeny","affiliations":[],"preferred":false,"id":837879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horvath, Marton","contributorId":288429,"corporation":false,"usgs":false,"family":"Horvath","given":"Marton","email":"","affiliations":[],"preferred":false,"id":837880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":837881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":837882,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236257,"text":"70236257 - 2021 - Pervasive changes in stream intermittency across the United States","interactions":[],"lastModifiedDate":"2022-08-31T12:19:33.492653","indexId":"70236257","displayToPublicDate":"2021-07-29T07:11:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Pervasive changes in stream intermittency across the United States","docAbstract":"

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

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

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Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71st St.
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","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-07-28","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"D’Acunto, Laura E. 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":261399,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":257520,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","email":"","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hackett, Caitlin E. 0000-0003-3934-4321","orcid":"https://orcid.org/0000-0003-3934-4321","contributorId":261435,"corporation":false,"usgs":true,"family":"Hackett","given":"Caitlin","email":"","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nestler, Jennifer H. 0000-0003-4552-1734","orcid":"https://orcid.org/0000-0003-4552-1734","contributorId":225643,"corporation":false,"usgs":false,"family":"Nestler","given":"Jennifer","email":"","middleInitial":"H.","affiliations":[{"id":41177,"text":"Cherokee Federal, contracted to Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":820019,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shinde, Dilip","contributorId":261436,"corporation":false,"usgs":false,"family":"Shinde","given":"Dilip","email":"","affiliations":[],"preferred":false,"id":820020,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":820021,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222428,"text":"fs20213040 - 2021 - Quality of groundwater used for domestic supply in the northern San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2021-07-30T12:25:06.69798","indexId":"fs20213040","displayToPublicDate":"2021-07-28T13:50:26","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3040","displayTitle":"Quality of Groundwater Used for Domestic Supply in the Northern San Joaquin Valley, California","title":"Quality of groundwater used for domestic supply in the northern San Joaquin Valley, California","docAbstract":"

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

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

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

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

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

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

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

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

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

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

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

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

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

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-07-28","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":203451,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"","middleInitial":"K.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":819190,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70222467,"text":"70222467 - 2021 - Timing and hydrological conditions associated with bigheaded carp movement past navigation dams on the upper Mississippi river","interactions":[],"lastModifiedDate":"2021-10-18T14:20:02.027547","indexId":"70222467","displayToPublicDate":"2021-07-28T08:40:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Timing and hydrological conditions associated with bigheaded carp movement past navigation dams on the upper Mississippi river","docAbstract":"

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

","language":"English","publisher":"Springer","doi":"10.1007/s10530-021-02583-8","usgsCitation":"Vallazza, J.M., Mosel, K.J., Reineke, D.M., Runstrom, A.L., Larson, J.H., and Knights, B.C., 2021, Timing and hydrological conditions associated with bigheaded carp movement past navigation dams on the upper Mississippi river: Biological Invasions, v. 23, p. 3409-3425, https://doi.org/10.1007/s10530-021-02583-8.","productDescription":"17 p.","startPage":"3409","endPage":"3425","ipdsId":"IP-113126","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":436260,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BVCVV2","text":"USGS data release","linkHelpText":"Data for dam passage analysis of bigheaded carps in Pools 15-19 of the upper Mississippi River during 2014-2017"},{"id":387588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.82421875,\n 38.47939467327645\n ],\n [\n -90.263671875,\n 39.87601941962116\n ],\n [\n -90.615234375,\n 40.51379915504413\n ],\n [\n -89.8681640625,\n 41.672911819602085\n ],\n [\n -89.7802734375,\n 42.58544425738491\n ],\n [\n -91.0546875,\n 44.18220395771566\n ],\n [\n -92.724609375,\n 45.36758436884978\n ],\n [\n -93.4716796875,\n 44.99588261816546\n ],\n [\n -92.59277343749999,\n 44.24519901522129\n ],\n [\n -91.62597656249999,\n 43.644025847699496\n ],\n [\n -91.318359375,\n 42.68243539838623\n ],\n [\n -90.791015625,\n 41.96765920367816\n ],\n [\n -91.49414062499999,\n 41.178653972331674\n ],\n [\n -91.845703125,\n 40.27952566881291\n ],\n [\n -91.845703125,\n 39.436192999314095\n ],\n [\n -90.703125,\n 38.51378825951165\n ],\n [\n -89.82421875,\n 38.47939467327645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mosel, Kayle J.","contributorId":261526,"corporation":false,"usgs":false,"family":"Mosel","given":"Kayle","email":"","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":820129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reineke, David M.","contributorId":261527,"corporation":false,"usgs":false,"family":"Reineke","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":820130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runstrom, Ann L.","contributorId":261529,"corporation":false,"usgs":false,"family":"Runstrom","given":"Ann","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":820131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820133,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227272,"text":"70227272 - 2021 - Limited shifts in the distribution of migratory bird breeding habitat density in response to future changes in climate","interactions":[],"lastModifiedDate":"2022-01-06T14:24:06.941403","indexId":"70227272","displayToPublicDate":"2021-07-28T08:13:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Limited shifts in the distribution of migratory bird breeding habitat density in response to future changes in climate","docAbstract":"Grasslands, and the depressional wetlands that exist throughout them, are endangered ecosystems that face both climate and land-use change pressures. Tens of millions of dollars are invested annually to manage the existing fragments of these ecosystems to serve as critical breeding habitat for migratory birds. The North American Prairie Pothole Region (PPR) is a region that contains millions of depressional wetlands that produce between 50 and 80% of the continent’s waterfowl population and. Previous modeling efforts suggested that climate change would result in a shift of suitable waterfowl breeding habitat from the central to the southeast portion of the PPR, an area where over half of the wetlands have been drained. The implications of these projections suggest a massive investment in wetland restoration in the southeastern PPR would be needed to sustain waterfowl populations at harvestable levels. We revisited these modeled results indicating how future climate may impact the distribution of waterfowl-breeding habitat using up-to-date climate model projections and a newly developed model for simulating prairie-pothole wetland hydrology. We also presented changes to the number of “May ponds,” a metric used by U.S. Fish and Wildlife Service to estimate waterfowl breeding populations and establish harvest regulations. Based on the output of 32 climate models and 2 emission scenarios, we found no evidence that the distribution of May ponds would shift in the future. However, our results projected a 17% decrease to 5% increase in May-pond numbers when comparing the most recent climate period (1989–2018) to the end of the 21st century (2070–2099). When combined, our results suggest areas in the PPR that that currently support the highest densities of intact wetland basins, and thus support the largest numbers of breeding-duck pairs, will likely also be the places most critical to maintaining continental waterfowl populations in an uncertain future.","language":"English","publisher":"Wiley","doi":"10.1002/eap.2428","usgsCitation":"McKenna, O.P., Mushet, D., Kucia, S., and Mcculloch-Huseby, E.C., 2021, Limited shifts in the distribution of migratory bird breeding habitat density in response to future changes in climate: Ecological Applications, v. 31, no. 7, e02428, 12 p., https://doi.org/10.1002/eap.2428.","productDescription":"e02428, 12 p.","ipdsId":"IP-121838","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":451379,"rank":0,"type":{"id":40,"text":"Open Access 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omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":830237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kucia, Samuel R.","contributorId":270973,"corporation":false,"usgs":false,"family":"Kucia","given":"Samuel R.","affiliations":[],"preferred":false,"id":830239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcculloch-Huseby, Elyssa Christina 0000-0001-6680-3912","orcid":"https://orcid.org/0000-0001-6680-3912","contributorId":270974,"corporation":false,"usgs":true,"family":"Mcculloch-Huseby","given":"Elyssa","email":"","middleInitial":"Christina","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222421,"text":"70222421 - 2021 - Informing wetland management with waterfowl movement and sanctuary use responses to human-induced disturbance","interactions":[],"lastModifiedDate":"2021-07-28T12:10:26.199059","indexId":"70222421","displayToPublicDate":"2021-07-28T07:01:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Informing wetland management with waterfowl movement and sanctuary use responses to human-induced disturbance","docAbstract":"

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

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.113170","usgsCitation":"McDuie, F., Lorenz, A., Klinger, R.C., Overton, C.T., Feldheim, C.L., Ackerman, J.T., and Casazza, M.L., 2021, Informing wetland management with waterfowl movement and sanctuary use responses to human-induced disturbance: Journal of Environmental Management, v. 297, 113170, 10 p., https://doi.org/10.1016/j.jenvman.2021.113170.","productDescription":"113170, 10 p.","ipdsId":"IP-124117","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":451383,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2021.113170","text":"Publisher Index Page"},{"id":436261,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92N1BBF","text":"USGS data release","linkHelpText":"Waterfowl Disturbance in California and Nevada (2018)"},{"id":387500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"297","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McDuie, Fiona 0000-0002-1948-5613","orcid":"https://orcid.org/0000-0002-1948-5613","contributorId":222936,"corporation":false,"usgs":true,"family":"McDuie","given":"Fiona","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, Austen 0000-0003-3657-5941","orcid":"https://orcid.org/0000-0003-3657-5941","contributorId":222610,"corporation":false,"usgs":true,"family":"Lorenz","given":"Austen","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":819987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":819988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feldheim, Cliff L.","contributorId":206561,"corporation":false,"usgs":false,"family":"Feldheim","given":"Cliff","email":"","middleInitial":"L.","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":819990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819992,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222358,"text":"fs20213041 - 2021 - Water priorities for the Nation—USGS Integrated Water Science basins","interactions":[],"lastModifiedDate":"2021-07-28T11:39:06.407293","indexId":"fs20213041","displayToPublicDate":"2021-07-27T14:40:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3041","displayTitle":"Water Priorities for the Nation—USGS Integrated Water Science Basins","title":"Water priorities for the Nation—USGS Integrated Water Science basins","docAbstract":"

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

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

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

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-07-27","noUsgsAuthors":false,"publicationDate":"2021-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":819746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberts, Sandra M. 0000-0001-5138-8293 smeberts@usgs.gov","orcid":"https://orcid.org/0000-0001-5138-8293","contributorId":127844,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra","email":"smeberts@usgs.gov","middleInitial":"M.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":819747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":819748,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70223149,"text":"70223149 - 2021 - Evaluation of a modified rapid viability-polymerase chain reaction method for Bacillus atrophaeus spores in water matrices","interactions":[],"lastModifiedDate":"2021-08-12T12:33:45.714578","indexId":"70223149","displayToPublicDate":"2021-07-27T07:32:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a modified rapid viability-polymerase chain reaction method for Bacillus atrophaeus spores in water matrices","docAbstract":"

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

","language":"English","publisher":"Elsevier","doi":"10.1016/j.mimet.2021.106293","usgsCitation":"Bushon, R.N., Brady, A.M., Kephart, C.M., and Gallardo, V., 2021, Evaluation of a modified rapid viability-polymerase chain reaction method for Bacillus atrophaeus spores in water matrices: Journal of Microbiological Methods, v. 188, 106293, 9 p., https://doi.org/10.1016/j.mimet.2021.106293.","productDescription":"106293, 9 p.","ipdsId":"IP-131248","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":451398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8488907","text":"Publisher Index Page"},{"id":387894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"188","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bushon, Rebecca N. 0000-0003-1843-9719 rnbushon@usgs.gov","orcid":"https://orcid.org/0000-0003-1843-9719","contributorId":207702,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallardo, Vicente","contributorId":264210,"corporation":false,"usgs":false,"family":"Gallardo","given":"Vicente","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":821112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222371,"text":"ofr20211067 - 2021 - U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2018 annual report","interactions":[],"lastModifiedDate":"2021-07-27T11:55:40.554405","indexId":"ofr20211067","displayToPublicDate":"2021-07-26T18:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1067","displayTitle":"U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative—2018 Annual Report","title":"U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2018 annual report","docAbstract":"

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

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

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

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

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

","tableOfContents":"","publishedDate":"2021-07-26","noUsgsAuthors":false,"publicationDate":"2021-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":819843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science 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0000-0002-6700-8563","orcid":"https://orcid.org/0000-0002-6700-8563","contributorId":203712,"corporation":false,"usgs":true,"family":"Zeigenfuss","given":"Linda","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":819842,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70222384,"text":"ofr20211075 - 2021 - Evaluation of factors affecting migration success of adult sockeye salmon (Oncorhynchus nerka) in the Yakima River, Washington, 2020","interactions":[],"lastModifiedDate":"2021-07-27T11:39:13.986498","indexId":"ofr20211075","displayToPublicDate":"2021-07-26T10:54:53","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1075","displayTitle":"Evaluation of Factors Affecting Migration Success of Adult Sockeye Salmon (Oncorhynchus nerka) in the Yakima River, Washington, 2020","title":"Evaluation of factors affecting migration success of adult sockeye salmon (Oncorhynchus nerka) in the Yakima River, Washington, 2020","docAbstract":"

A study was conducted during June–October 2020 to evaluate factors affecting the migration success of adult sockeye salmon (Oncorhynchus nerka) in the Yakima River, Washington. A total of 144 adult sockeye salmon were tagged and released during the study. Most fish (112 fish) were collected, tagged with passive integrated transponder (PIT), and released at the mouth of the Yakima River. The remaining fish were tagged with a radio transmitter and PIT tag: 13 fish were collected, tagged, and released at Prosser Dam; 13 fish were collected and tagged at Prosser Dam, transported downstream, and released at the mouth of the Yakima River; and 6 fish were collected, tagged, and released at the mouth of the Yakima River. Radio-tagged fish released at Prosser Dam initially moved upstream and spread out in the river reach between Prosser and Sunnyside Dams, but all fish stopped moving and several transmitters were recovered. Detection records and temperature data from recovered transmitters were the basis for inferring that avian predators consumed at least 6 of the 13 fish. Fifteen of the 19 radio-tagged sockeye salmon released at the mouth of the Yakima River moved upstream in the Columbia River and were detected at Johnson Island in the Hanford Reach, or at Priest Rapids Dam. Two of these fish, tagged on August 7, eventually moved back downstream and entered the Yakima River when water temperatures in the lower Yakima River were 16–18 degrees Celsius (°C). One fish moved upstream to Sunnyside Dam where its tag was later recovered. The other fish moved farther upstream and was detected at Prosser Dam, but eventually moved downstream and its tag was recovered near Benton City, Washington. None of the recovered tags were found near a carcass. More than one-half of the sockeye salmon that were collected, tagged, and released at the mouth of the Yakima River were subsequently detected, and the greatest proportion of fish from groups released during June, July, and August entered the Yakima River. This finding suggests that adult sockeye salmon are present at the mouth of the Yakima River throughout the summer. Detection records for tagged fish at monitoring sites located near cool water inputs in the lower Yakima River suggest that sockeye salmon do not spend a substantial amount of time at these locations. Fish count data at Prosser Dam fish ladders showed that sockeye salmon had a bi-modal pattern of upstream migration with peaks in late June/early July and September when water temperature in the lower Yakima River was 20 °C or less. Sixty-one percent of PIT-tagged sockeye salmon detected at Prosser Dam were eventually collected at the adult fish trapping facility at Roza Dam where fish are collected and transported upstream to Cle Elum Reservoir. These data, in conjunction with results from other studies, suggest that a substantial proportion of Yakima River sockeye salmon fail to arrive at Roza Dam. Additional research will be required to better understand factors affecting Yakima River sockeye salmon.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211075","collaboration":"Prepared in cooperation with Bureau of Reclamation, Yakama Nation Fisheries, and Washington Department of Fish and Wildlife","usgsCitation":"Kock, T.J., Hansen, A.C., Evans, S.D., Visser, R., Saluskin, B., Matala, A., and Hoffarth, P., 2021, Evaluation of factors affecting migration success of adult sockeye salmon (Oncorhynchus nerka) in the Yakima River, Washington, 2020: U.S. Geological Survey Open-File Report 2021–1075, 30 p., https://doi.org/10.3133/ofr20211075.","productDescription":"vi, 30 p.","onlineOnly":"Y","ipdsId":"IP-128700","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":387441,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1075/ofr20211075.pdf","text":"Report","size":"5.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1075"},{"id":387440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1075/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.8770751953125,\n 45.96642454131025\n ],\n [\n -118.67431640625,\n 45.96642454131025\n ],\n [\n -118.67431640625,\n 46.916503267244835\n ],\n [\n -120.8770751953125,\n 46.916503267244835\n ],\n [\n -120.8770751953125,\n 45.96642454131025\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2021-07-26","noUsgsAuthors":false,"publicationDate":"2021-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":819900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":819901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Scott D. 0000-0003-0452-7726 sdevans@usgs.gov","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":4408,"corporation":false,"usgs":true,"family":"Evans","given":"Scott","email":"sdevans@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":819902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Visser, Richard","contributorId":223646,"corporation":false,"usgs":false,"family":"Visser","given":"Richard","email":"","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":819903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saluskin, Brian","contributorId":223647,"corporation":false,"usgs":false,"family":"Saluskin","given":"Brian","affiliations":[{"id":39287,"text":"Yakama Nation Fisheries","active":true,"usgs":false}],"preferred":false,"id":819904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matala, Andrew","contributorId":261352,"corporation":false,"usgs":false,"family":"Matala","given":"Andrew","affiliations":[],"preferred":false,"id":819905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoffarth, Paul","contributorId":177927,"corporation":false,"usgs":false,"family":"Hoffarth","given":"Paul","email":"","affiliations":[],"preferred":false,"id":819906,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222434,"text":"70222434 - 2021 - The spatial-temporal relationship of blue-winged teal to domestic poultry: Movement state modeling of a highly mobile avian influenza host","interactions":[],"lastModifiedDate":"2021-10-18T14:21:49.694371","indexId":"70222434","displayToPublicDate":"2021-07-26T09:16:15","publicationYear":"2021","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":"The spatial-temporal relationship of blue-winged teal to domestic poultry: Movement state modeling of a highly mobile avian influenza host","docAbstract":"

1. Migratory waterfowl facilitate long distance dispersal of zoonotic pathogens and are increasingly recognized as contributing to the geographic spread of avian influenza viruses (AIV). AIV are globally distributed and have the potential to produce highly contagious poultry disease, economically impact both large-scale and backyard poultry producers, and raise the specter of epidemics and pandemics in human populations.

2. Because migratory waterfowl behavior varies across multiple spatial and temporal scales, the timing and distribution of wild bird AIV introductions to poultry are also heterogeneous in time and space. To help reduce economic impacts to the poultry industry and enable poultry producers to better anticipate when and where poultry outbreaks may occur, it is critically important to consider the movement ecology of the waterfowl species transporting and transmitting AIV.

3. We used telemetry for a geographically widespread and common AIV host, blue-winged teal (Spatula discors; BWTE), to model reservoir host movement states with respect to backyard and commercial poultry facilities in the United States. Our modeling framework enabled us to estimate wild bird proximity to poultry facilities while concurrently assessing the influence of poultry facilities on BWTE movement state transition. Our primary objective was to estimate the likelihood of duck and poultry overlap by estimating when and where BWTE were geographically closest to poultry.

4. Synthesis and applications. Migratory waterfowl facilitate dispersal of the avian influenza viruses that cause highly contagious poultry disease. Movement analysis of blue-winged teal indicates that spatio-temporal overlap between wild birds and poultry facilities varies by season, the poultry type produced (e.g., turkey, chicken), and if the facility is a commercial or backyard operation. These findings are broadly applicable to disease ecology research and can be applied by poultry producers to improve bio-security, enhance poultry management, and prioritize disease surveillance efforts.

","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13963","usgsCitation":"Humphreys, J.M., Douglas, D.C., Ramey, A.M., Mullinax, J.M., Soos, C., Link, P.T., Walther, P., and Prosser, D., 2021, The spatial-temporal relationship of blue-winged teal to domestic poultry: Movement state modeling of a highly mobile avian influenza host: Journal of Applied Ecology, v. 58, no. 10, p. 2040-2052, https://doi.org/10.1111/1365-2664.13963.","productDescription":"13 p.","startPage":"2040","endPage":"2052","ipdsId":"IP-118863","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":451405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13963","text":"Publisher Index Page"},{"id":387599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphreys, John M.","contributorId":217932,"corporation":false,"usgs":false,"family":"Humphreys","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":820044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":820046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":820045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":820047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soos, Catherine","contributorId":177909,"corporation":false,"usgs":false,"family":"Soos","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":820048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Link, Paul T.","contributorId":53611,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":820049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walther, Patrick","contributorId":213915,"corporation":false,"usgs":false,"family":"Walther","given":"Patrick","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":820050,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":820051,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70223494,"text":"70223494 - 2021 - Water–rock interaction and the concentrations of major, trace, and rare earth elements in hydrocarbon-associated produced waters of the United States","interactions":[],"lastModifiedDate":"2024-09-16T16:35:32.635392","indexId":"70223494","displayToPublicDate":"2021-07-26T07:46:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9161,"text":"Environmental Science: Processes & Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Water–rock interaction and the concentrations of major, trace, and rare earth elements in hydrocarbon-associated produced waters of the United States","docAbstract":"

Studies of co-produced waters from hydrocarbon extraction across multiple energy-producing basins have generally focused on major ions or a few select tracers, and studies that examine trace elements and involve laboratory experiments have generally been basin specific. Here, new perspective is sought through a broad analysis of concentration data for 26 elements from three hydrocarbon well types using the U.S. Geological Survey National Produced Waters Geochemical Database (v2.3). Those data are compared to leachates (water, hydrochloric acid, and artificial brine) from 12 energy-resource related shales from across the United States. Both lower pH and higher ionic strength were associated with greater concentrations of many trace elements in produced waters. However, individual effects were difficult to distinguish because higher ionic strengths drive decreases in pH. Water–rock interactions in the leaching experiments generally replicated produced water concentrations for trace elements including Al, As, Cd, Co, Cu, Mo, Ni, Pb, Sb, Si, and Zn. Enhanced middle rare earth element (REE) mobilization relative to shale REE content occurred with low pH leachates. Produced water concentrations of Li, Sr, and Ba were not replicated by the leaching experiments. Patterns of high Li, Sr, and Ba concentrations and ratios relative to other elements across produced waters types indicate controls on these elements in many settings related to pore space pools of salts, brines, and ion-exchange sites affected by diagenetic processes. The size of those pools is diluted and masked by other water–rock interaction processes at the water–rock ratios necessitated by laboratory experiments. The results broadly link water–rock interaction processes and environmental patterns across a wide variety of produced waters and host formations and thus provide context for trace element data from other environmental and laboratory studies of such waters.

","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/D1EM00080B","usgsCitation":"Bern, C.R., Birdwell, J.E., and Jubb, A., 2021, Water–rock interaction and the concentrations of major, trace, and rare earth elements in hydrocarbon-associated produced waters of the United States: Environmental Science: Processes & Impacts, v. 23, no. 8, p. 1198-1219, https://doi.org/10.1039/D1EM00080B.","productDescription":"22 p.","startPage":"1198","endPage":"1219","ipdsId":"IP-118736","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":451408,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1039/d1em00080b","text":"Publisher Index Page"},{"id":388650,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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States\"}}]}","volume":"23","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":822174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822175,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229346,"text":"70229346 - 2021 - Body size and digestive system shape resource selection by ungulates: A cross-taxa test of the forage maturation hypothesis","interactions":[],"lastModifiedDate":"2022-03-04T12:17:28.231597","indexId":"70229346","displayToPublicDate":"2021-07-26T05:58:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology 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The forage maturation hypothesis (FMH) states that energy intake for ungulates is maximised when forage biomass is at intermediate levels. Nevertheless, metabolic allometry and different digestive systems suggest that resource selection should vary across ungulate species. By combining GPS relocations with remotely sensed data on forage characteristics and surface water, we quantified the effect of body size and digestive system in determining movements of 30 populations of hindgut fermenters (equids) and ruminants across biomes. Selection for intermediate forage biomass was negatively related to body size, regardless of digestive system. Selection for proximity to surface water was stronger for equids relative to ruminants, regardless of body size. To be more generalisable, we suggest that the FMH explicitly incorporate contingencies in body size and digestive system, with small-bodied ruminants selecting more strongly for potential energy intake, and hindgut fermenters selecting more strongly for surface water.

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We studied biotic ligand model (BLM) predictions of toxicity of nickel (Ni) and zinc (Zn) in natural waters from Illinois and Minnesota USA which had combinations of pH, hardness, and dissolved organic carbon (DOC) more extreme than 99.7% of waters in a nationwide database. We conducted 7-d chronic tests with Ceriodaphnia dubia, and 96-hr acute test and 14-d chronic tests with Neocloeon triangulifer, and estimated LC50s and EC20s for both species. Toxicity of Ni and Zn to both species differed among test waters by factors from 8 (Zn tests with C. dubia) to 35 (Zn tests with N. triangulifer). For both species and metals, tests with Minnesota waters (low pH and hardness, high DOC) showed lower toxicity than Illinois waters (high pH, high hardness, low DOC). Recalibration of the Ni BLM to be more responsive to pH-related changes improved predictions of Ni toxicity, especially for C. dubia. We compared several input data scenarios for the Zn BLM, which generally had minor effects on Model Performance Scores (MPS). A scenario that included inputs of modeled dissolved inorganic carbon and measured Al and Fe(III) produced highest MPS values for tests with both C. dubia and N. triangulifer. Overall, the BLM framework successfully modeled variation in toxicity for both Zn and Ni across wide ranges of water chemistry in tests with both standard and novel test organisms.

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County, New York","interactions":[],"lastModifiedDate":"2024-06-26T19:36:08.52945","indexId":"sir20215026","displayToPublicDate":"2021-07-23T10:10:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5026","displayTitle":"Hydrogeology of the Susquehanna River Valley-Fill Aquifer System in the Towns of Conklin and Kirkwood, Broome County, New York","title":"Hydrogeology of the Susquehanna River valley-fill aquifer system in the towns of Conklin and Kirkwood, Broome County, New York","docAbstract":"

The hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in south-central Broome County, New York, was investigated in cooperation with the New York State Department of Environmental Conservation. The study area encompasses roughly 55.5 square miles and includes the towns of Conklin and Kirkwood. Multiple small, perhaps discontinuous, valley-fill aquifers of unknown extent and hydraulic interconnection underlie the Susquehanna River valley from easternmost Binghamton south to Riverside, New York, near the Pennsylvania border. The hydrogeologic framework of these aquifers is described in this report on the basis of existing descriptions of surficial materials, especially those related to deglaciation, and subsurface data extracted from well and boring logs. A compilation of surficial geology, the descriptions of the spatial distribution of confined and unconfined aquifers, hydrogeologic sections, and well locations is provided as an oversized map plate and in a U.S. Geological Survey data release.

Residential households are one of the principal consumers of groundwater in the study area. Approximately half of these households are served by public water-supply systems that obtain water from wells, chiefly from highly productive but small and likely discontinuous surficial deposits of sand and gravel, while others obtain water from sand-and-gravel aquifers beneath till and (or) fine-grained lacustrine deposits, and a few from bedrock. Residents outside the public-supply service areas rely on private wells. In till-mantled upland areas, nearly all private wells tap bedrock. Water-resource potential is likely greatest north of Kirkwood Center, New York, where the valley is narrowest, and local aquifers are in thick stratified glacial deposits. Well yields are highest in this part of the valley, and the local aquifer system is likely replenished through induced infiltration from the Susquehanna River and numerous small tributaries. The area between Langdon and Kirkwood is filled with a mixture of stratified and unstratified glacial sediments and contains one high-yield well. This area likely has moderate water-resource potential, but limited well data make this difficult to verify. Well yields from suitable stratified glacial sediments generally decrease southward toward Riverside, New York.

Characterizing potential groundwater resources is also helpful for prioritizing source-water-protection efforts. Water resources throughout New York are at risk of contamination from commercial and industrial surface activities. As in many valley areas throughout the Susquehanna River watershed in south-central New York, valley wells with depths greater than roughly 100 to 150 feet are susceptible to contamination by naturally occurring saltwater and methane. New York currently has a moratorium on hydraulic fracturing, but the study area is underlain by rocks suitable for unconventional methods of gas production that would likely be initiated if the moratorium were to be lifted.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215026","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Van Hoesen, J.G., Heisig, P.M., and Fisher, S.R., 2021, Hydrogeology of the Susquehanna River valley-fill aquifer system in the towns of Conklin and Kirkwood, Broome County, New York: U.S. Geological Survey Scientific Investigations Report 2021–5026, 29 p., 1 pl., https://doi.org/10.3133/sir20215026.","productDescription":"Report: vii, 29 p.; 1 Plate 30.25 x 31.25 inches; Data Release","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-118763","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":387155,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2021/5026/sir20215026_plate1.pdf","text":"Plate 1","size":"1.82 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Detailed aquifer mapping of the Susquehanna River valley in south-central Broome County, towns of Conklin and Kirkwood, New York"},{"id":387154,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O1EAV7","text":"USGS data release","linkHelpText":"Digital datasets for the hydrogeology of the Susquehanna River Valley in south-central Broome County, towns of Conklin and Kirkwood, New York"},{"id":387153,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5026/sir20215026.pdf","text":"Report","size":"8.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5026"},{"id":387152,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5026/coverthb2.jpg"}],"country":"United States","state":"New York","county":"Broome County","otherGeospatial":"Susquehanna River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.91690063476561,\n 42.001345689029755\n ],\n [\n -75.74970245361328,\n 42.001345689029755\n ],\n [\n -75.74970245361328,\n 42.08803181932636\n ],\n [\n -75.91690063476561,\n 42.08803181932636\n ],\n [\n -75.91690063476561,\n 42.001345689029755\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-07-23","noUsgsAuthors":false,"publicationDate":"2021-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Hoesen, John G. 0000-0003-2531-3794 jvanhoesen@usgs.gov","orcid":"https://orcid.org/0000-0003-2531-3794","contributorId":261007,"corporation":false,"usgs":true,"family":"Van Hoesen","given":"John","email":"jvanhoesen@usgs.gov","middleInitial":"G.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Shannon R. 0000-0001-8700-8504 srfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-8700-8504","contributorId":261008,"corporation":false,"usgs":true,"family":"Fisher","given":"Shannon","email":"srfisher@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819246,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236265,"text":"70236265 - 2021 - Managing nonperennial headwater streams in temperate forests of the United States","interactions":[],"lastModifiedDate":"2022-08-31T14:27:51.450799","indexId":"70236265","displayToPublicDate":"2021-07-23T09:20:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Managing nonperennial headwater streams in temperate forests of the United States","docAbstract":"

Forest management guidelines are designed to protect water quality from unintended effects of land use changes such as timber harvest, mining, or forest road construction. Although streams that periodically cease to flow (nonperennial) drain the majority of forested areas, these streams are not consistently included in forest management guidelines. This paper reviews management guidelines for nonperennial (intermittent and ephemeral) streams draining temperate forests in the continental U.S., evaluates potential impacts of land use activities on ecosystem services provided by these streams, and identifies information needed to incorporate nonperennial streams into water quality protection practices. For federally administered lands, national management guidance is deliberately nonprescriptive, deferring to regional and forest-level recommendations for both perennial and nonperennial streams. Most state guidelines recommend riparian management zone (RMZ) protection for perennial streams (48/50 states) and intermittent streams (45/50 states), but only Alaska and West Virginia require RMZs around ephemeral streams. Based on the National Hydrography Dataset, an average of 58% of forested land area in the U.S. drains to nonperennial headwater streams, making these stream types the most common connectors between forested lands and the aquatic system. Land uses that modify flow regimes in these streams can affect sediment and organic matter transport and distribution, stream temperature dynamics, and biogeochemical processing. Nonperennial streams also provide material subsidies to downstream waters and serve as temporary habitats for some aquatic species. However, limited research has examined how forest land uses affect ecosystem services and biota in these streams. Therefore we highlight a set of key questions about nonperennial streams in forests, not the least of which is simply understanding where headwater stream channels are located and associated patterns of flow duration. Although many questions remain, we also note where recent advances in data collection, modeling and process-level research provide opportunities to resolve uncertainties around nonperennial streams in forested landscapes of the continental U.S.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2021.119523","usgsCitation":"Kampf, S.K., Dwyer, K., Fairchild, M.P., Dunham, J.B., Snyder, C.D., Jaeger, K.L., Luce, C., Hammond, J., Wilson, C., Zimmer, M., and Sidell, M., 2021, Managing nonperennial headwater streams in temperate forests of the United States: Forest Ecology and Management, v. 497, 119523, 16 p., https://doi.org/10.1016/j.foreco.2021.119523.","productDescription":"119523, 16 p.","ipdsId":"IP-128255","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":405997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n 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survivorship","interactions":[],"lastModifiedDate":"2022-06-09T12:24:40.573078","indexId":"70232164","displayToPublicDate":"2021-07-23T07:22:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Golden Eagle dietary shifts following wildfire and shrub loss have negative consequences for nestling survivorship","docAbstract":"

Wildfires and invasive species have caused widespread changes in western North America’s shrub-steppe landscapes. The bottom–up consequences of degraded shrublands on predator ecology and demography remain poorly understood. We used a before–after paired design to study whether Golden Eagle (Aquila chrysaetos) diet and nestling survivorship changed following wildfires in southwestern Idaho, USA. We assessed burn extents from 1981 to 2013 and vegetation changes between 1979 (pre-burn) and 2014 (post-burn) within 3 km of Golden Eagle nesting centroids. We measured the frequency and biomass of individual prey, calculated diet diversity indexes, and monitored nestling survivorship at 15 territories in 1971–1981 and 2014–2015. On average, 0.70 of the area within 3 km of nesting centroids burned between 1981 and 2013, and the mean proportion of unburned shrubland decreased from 0.73 in 1979 to 0.22 in 2014. Diets in post-burn years were more diverse and had a lower proportion of some shrub-associated species, such as black-tailed jackrabbits (Lepus californicus) and mountain cottontails (Sylvilagus nuttallii), and a higher proportion of American Coots (Fulica americana), Mallards (Anas platyrhynchos), Piute ground squirrels (Urocitellus mollis), and Rock Pigeons (Columba livia) compared with pre-burn years. A high proportion of waterfowl represented a novel change in Golden Eagle diets, which are typically dominated by mammalian prey. Nestling survivorship was positively associated with the proportion of black-tailed jackrabbits and negatively associated with the proportion of Rock Pigeons in eagle diets. Rock Pigeons are a vector for Trichomonas gallinae, a disease-causing protozoan lethal to young eagles. Nesting attempts were more likely to fail (all young die) in the post-burn period compared with the pre-burn period. Dietary shifts are a common mechanism for predators to cope with landscape change, but shifts away from preferred prey to disease vectors affect nestling survivorship and could lead to population-level effects on productivity.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duab034","usgsCitation":"Heath, J.A., Kochert, M.N., and Steenhof, K., 2021, Golden Eagle dietary shifts following wildfire and shrub loss have negative consequences for nestling survivorship: Ornithological Applications, v. 123, no. 4, duab034, 14 p., https://doi.org/10.1093/ornithapp/duab034.","productDescription":"duab034, 14 p.","ipdsId":"IP-126722","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":451429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duab034","text":"Publisher Index Page"},{"id":401967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.00439453125,\n 42.61779143282346\n ],\n [\n -114.9169921875,\n 42.61779143282346\n ],\n [\n -114.9169921875,\n 43.77109381775651\n ],\n [\n -117.00439453125,\n 43.77109381775651\n ],\n [\n -117.00439453125,\n 42.61779143282346\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Heath, Julie A.","contributorId":192842,"corporation":false,"usgs":false,"family":"Heath","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":844412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":203439,"corporation":false,"usgs":false,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[],"preferred":false,"id":844414,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}