Headwater stream temperature often exhibits spatial variation at the kilometer-scale, but the relative importance of the underlying hydrogeological processes and riverine perturbations remains poorly understood. In this study, we investigated the relative importance of groundwater (GW) and other processes on downstream annual stream temperature signal characteristics using deterministic heat budget model (HFLUX) scenarios within an idealized stream reach representative of mountainous forested conditions. We summarized annual stream thermal regimes from the relationship of paired sinusoidal air and water temperature signals (amplitude ratio, phase lag, and mean ratio). Results showed that downstream changes in annual temperature depended on the thermal gradient between water and the hypothetical equilibrium temperature (where all heat fluxes sum to zero). GW inflow, riparian shading, and the boundary input signal were the most significant factors affecting downstream annual water temperature signals, while flow volume and channel dimensions impacted how quickly annual temperature signals changed. Effects of GW were dominated by advective rather than conductive heat exchange processes, but conduction played a larger role when GW input was more spatially diffuse. Our results indicated several mechanisms by which local processes may affect stream thermal resilience to disturbances and can help guide management of wildfire and climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.131391","usgsCitation":"Johnson, Z., Briggs, M., Snyder, C.D., Johnson, B.G., and Hitt, N.P., 2024, Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams: Journal of Hydrology, v. 638, 131391, 18 p., https://doi.org/10.1016/j.jhydrol.2024.131391.","productDescription":"131391, 18 p.","ipdsId":"IP-117590","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":497980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.131391","text":"Publisher Index Page"},{"id":429755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"638","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Zachary 0000-0002-0149-5223 zjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":190399,"corporation":false,"usgs":true,"family":"Johnson","given":"Zachary","email":"zjohnson@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":902704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":902705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":902706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Brittany G. 0000-0002-8837-997X bdjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8837-997X","contributorId":245863,"corporation":false,"usgs":false,"family":"Johnson","given":"Brittany","email":"bdjohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":902707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":902708,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254627,"text":"cir1519 - 2024 - The 3D National Topography Model Call for Action—Part 1. The 3D Hydrography Program","interactions":[],"lastModifiedDate":"2024-09-20T16:59:02.860799","indexId":"cir1519","displayToPublicDate":"2024-06-06T12:48:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1519","displayTitle":"The 3D National Topography Model Call for Action—Part 1. The 3D Hydrography Program","title":"The 3D National Topography Model Call for Action—Part 1. The 3D Hydrography Program","docAbstract":"The U.S. Geological Survey is initiating the 3D Hydrography Program (3DHP), the first systematic remapping of the Nation’s surface waters since the original 1:24,000-scale topographic mapping program was active from 1947 to 1992. Building on decades of experience maintaining the National Hydrography Dataset (NHD), the Watershed Boundary Dataset (WBD), and the NHDPlus High Resolution (NHDPlus HR), the 3DHP will completely refresh the Nation’s hydrography data and improve discovery and sharing of water-related data. The design of the 3DHP is based on the results of a study that estimated that the fully implemented program would have the potential to provide more than $1 billion in benefits to Federal, State, Tribal, Territorial, and local governments and to private and nonprofit organizations every year, in addition to myriad societal benefits. The 3DHP would directly support better decision making regarding water resources by providing more accurate, complete, and integrated information than is currently available.
The 3DHP datasets will include a three-dimensional (3D) hydrography network generated from and integrated with elevation data from the 3D Elevation Program (3DEP) to better represent stream gradients and channel conditions, along with waterbodies, hydrologic units, hydrologically enhanced elevation and other surfaces, and more consistent and accurate attributes. The 3DHP datasets will inherit key attributes of the NHD, WBD, and NHDPlus HR, and they also will include new attributes and links to other data such as the U.S. Fish and Wildlife Service National Wetlands Inventory, groundwater data, and engineered hydrologic systems such as stormwater networks. The 3DHP will be designed to provide a set of open and interoperable web-based tools, maps, and data catalogs, creating a robust system for users to reference their information about water; the system elements are collectively referred to as the “infostructure.” The 3DHP and the infostructure can provide a foundational geospatial underpinning for the Internet of Water, a community-based effort to modernize tools and technologies to share water data. As proposed, the 3DHP would begin providing products and services to the public in 2024.
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U.S. Geological Survey
Mail Stop 511
12201 Sunrise Valley Drive
Reston, VA 20192
High-quality elevation data are proving to be a resource of great economic value in dealing with many important issues in Ohio. Current and accurate high-resolution elevation data support flood risk management, water quantity and quality assessment, precision farming, conservation planning, impervious-surface modeling, forest and other natural resources management, abandoned mine and geologic hazard assessment, karst mapping, and siting of wellhead pads for horizontal drilling. These data also support coastal zone management, traffic safety and preliminary engineering site-selection studies for transportation infrastructure, solar potential and other renewable energy planning, aviation safety, and identification of features of interest or concern such as archaeological sites and orphan oil and gas wells. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.
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\"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, Mail Stop 511
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"Significant marine heatwaves (MHWs) developed along the Western Australian coast in 1999 and 2011. Despite ecosystem losses and the southwards occurrence of many tropical fish species during and after the extreme MHW in 2011, there have been few studies on the effects of this MHW on seabirds, and no biological impacts related to the 1999 MHW have been reported. Using data from 1986-2019, we investigated the impacts of these events on breeding outcomes, body condition, diet composition, population size and mortality of little penguins on Penguin Island, in the temperate waters off Western Australia. Breeding outcomes were negatively impacted by the MHWs but body condition was not. Diet composition changed after the MHW, with sandy sprat Hyperlophus vittatus, the penguins’ typical major prey component, replaced by scaly mackerel Sardinella lemuru, a tropical fish species. Using an open robust design analysis that accounts for imperfect capture probabilities and staggered annual arrival and departure dates, we found that the population decreased by 80% following the 2011 MHW. Finally, more penguins died from starvation or from novel protozoal parasitic infections in 2011 and 2012 that were potentially introduced with the changed diet. This research highlights that the temporal and spatial influence of MHWs on seabirds depends on several factors. Furthermore, the magnitude and direction of a prey species’ response can be very localised and have significant impacts on avian predators. There are no obvious ways to mediate climate effects, but perhaps measures taken to reduce any synergistic impacts on prey abundance, particularly during MHW events, could be effective.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14425","usgsCitation":"Cannell, B., Kendall, W.L., Tyne, J., Bunce, M., Hetzel, Y., Murray, D., and Radford, B., 2024, Marine heatwaves affect breeding, diet and population size but not body condition of a range-edge little penguin colony: Marine Ecology Progress Series, v. 737, p. 193-213, https://doi.org/10.3354/meps14425.","productDescription":"21 p.","startPage":"193","endPage":"213","ipdsId":"IP-148271","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Penguin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 115.68697660871345,\n -32.30069384374752\n ],\n [\n 115.68697660871345,\n -32.31026862299318\n ],\n [\n 115.69405059696402,\n -32.31026862299318\n ],\n [\n 115.69405059696402,\n -32.30069384374752\n ],\n [\n 115.68697660871345,\n -32.30069384374752\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"737","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cannell, B.L.","contributorId":337918,"corporation":false,"usgs":false,"family":"Cannell","given":"B.L.","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":902780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tyne, J.A.","contributorId":337919,"corporation":false,"usgs":false,"family":"Tyne","given":"J.A.","email":"","affiliations":[{"id":6757,"text":"Murdoch University","active":true,"usgs":false}],"preferred":false,"id":902782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunce, M.","contributorId":337920,"corporation":false,"usgs":false,"family":"Bunce","given":"M.","email":"","affiliations":[{"id":81056,"text":"Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":902783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hetzel, Y.","contributorId":337921,"corporation":false,"usgs":false,"family":"Hetzel","given":"Y.","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":902784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murray, D.","contributorId":337924,"corporation":false,"usgs":false,"family":"Murray","given":"D.","email":"","affiliations":[{"id":13639,"text":"Curtin University","active":true,"usgs":false}],"preferred":false,"id":902785,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Radford, B.","contributorId":337926,"corporation":false,"usgs":false,"family":"Radford","given":"B.","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":902786,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70257492,"text":"70257492 - 2024 - Importance of a lake-wetland complex for a resilient Walleye fishery","interactions":[],"lastModifiedDate":"2024-09-06T17:57:22.424454","indexId":"70257492","displayToPublicDate":"2024-06-05T10:49:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Importance of a lake-wetland complex for a resilient Walleye fishery","docAbstract":"Wetlands serve as unique habitats that can support high biodiversity. Large-scale loss of wetland habitats can threaten important linkages between lake and wetland habitats that could affect diversity and growth of aquatic organisms. In this study, we compare prey diversity and abundance as well as Walleye (Sander vitreus) diets and condition in a large glacial lake (Lake Kampeska, South Dakota) with a connected wetland to better understand seasonal changes in the benefits provided by each habitat. We examined seasonal differences (spring, summer, and fall) through two years (summer 2021 through fall 2022) between the habitats using prey fish catch per unit effort, richness, Shannon diversity, and Bray–Curtis dissimilarity as well as Walleye relative weight, percent of empty stomachs, diet weight, stomach fullness, diet energy, and diet taxa importance. The prey fish community was more diverse and abundant in the wetland, and Walleye consumed more prey (by weight) in the wetland during all seasons except spring. Wetland reconnection can be a tool for managers to improve water quality while providing seasonal habitat needs for fish. Additionally, the diversity of prey resources provided by wetlands, many of which are unique, support resilience in the face of ecological change. Protection of wetlands may be critical for maintaining healthy and resilient fisheries into the future.
","language":"English","publisher":"Springer Link","doi":"10.1007/s13157-024-01815-6","usgsCitation":"Cutler, L.M., Chipps, S.R., Blackwell, B., and Coulter, A., 2024, Importance of a lake-wetland complex for a resilient Walleye fishery: Wetlands, v. 44, 69, 12 p., https://doi.org/10.1007/s13157-024-01815-6.","productDescription":"69, 12 p.","ipdsId":"IP-156972","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-024-01815-6","text":"Publisher Index Page"},{"id":433578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","city":"Watertown","otherGeospatial":"Lake Kampeska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.26675777915796,\n 44.9701569272321\n ],\n [\n -97.26675777915796,\n 44.888057909730776\n ],\n [\n -97.09989669858768,\n 44.888057909730776\n ],\n [\n -97.09989669858768,\n 44.9701569272321\n ],\n [\n -97.26675777915796,\n 44.9701569272321\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2024-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Cutler, Logan M.","contributorId":342953,"corporation":false,"usgs":false,"family":"Cutler","given":"Logan","email":"","middleInitial":"M.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":910534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwell, Brian G.","contributorId":342955,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brian G.","affiliations":[{"id":81859,"text":"South Dakota Department of Game","active":true,"usgs":false}],"preferred":false,"id":910536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coulter, Alison A.","contributorId":342957,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":910537,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255113,"text":"70255113 - 2024 - Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian: New insights into data–model integration","interactions":[],"lastModifiedDate":"2024-06-12T14:59:19.871826","indexId":"70255113","displayToPublicDate":"2024-06-05T09:19:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17815,"text":"npj Climate and Atmospheric Science","active":true,"publicationSubtype":{"id":10}},"title":"Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian: New insights into data–model integration","docAbstract":"The mid-Piacenzian warm period (MPWP, ~3.264–3.025 Ma) has gained widespread interest due to its partial analogy with future climate. However, quantitative data–model comparison of East Asian Summer Monsoon (EASM) precipitation during the MPWP is relatively rare, especially due to problems in decoding the imprint of physical processes to climate signals in the records. In this study, pollen-based precipitation records are reconstructed and compared to the multi-model ensemble mean of the Pliocene Model Intercomparison Project Phase 2 (PlioMIP2). We find spatially consistent precipitation increase in most simulations but a spatially divergent change in MPWP records. We reconcile proxy data and simulation by decomposing physical processes that control precipitation. Our results 1) reveal thermodynamic control of an overall enhancement of EASM precipitation and 2) highlight a distinct control of thermodynamic and dynamical processes on increases of tropical and subtropical EASM precipitation, reflecting the two pathways of water vapor supply that enhance EASM precipitation, respectively.
","language":"English","publisher":"Nature","doi":"10.1038/s41612-024-00668-4","usgsCitation":"Sun, Y., Wu, H., Chen, L., Stepanek, C., Zhao, Y., Tan, N., Su, B., Yuan, X., Zhang, W., Liu, B., Hunter, S., Haywood, A.M., Abe-Ouchi, A., Otto-Bliesner, B., Contoux, C., Lunt, D.J., Dolan, A.M., Chandan, D., Lohmann, G., Dowsett, H., Tindall, J.C., Baatsen, M., Peltier, W.R., Li, Q., Feng, R., Salzmann, U., Chan, W., Zhang, Z., Williams, C.J., and Ramstein, G., 2024, Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian: New insights into data–model integration: npj Climate and Atmospheric Science, v. 7, 120, 10 p., https://doi.org/10.1038/s41612-024-00668-4.","productDescription":"120, 10 p.","ipdsId":"IP-150695","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":439448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41612-024-00668-4","text":"Publisher Index Page"},{"id":430012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2024-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, Yong","contributorId":336900,"corporation":false,"usgs":false,"family":"Sun","given":"Yong","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":903435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Haibin","contributorId":338744,"corporation":false,"usgs":false,"family":"Wu","given":"Haibin","email":"","affiliations":[],"preferred":false,"id":903531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Lixin","contributorId":338745,"corporation":false,"usgs":false,"family":"Chen","given":"Lixin","email":"","affiliations":[],"preferred":false,"id":903532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stepanek, Christian","contributorId":220691,"corporation":false,"usgs":false,"family":"Stepanek","given":"Christian","email":"","affiliations":[{"id":40240,"text":"Alfred Wegener Institute-Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":903533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhao, Yan","contributorId":220290,"corporation":false,"usgs":false,"family":"Zhao","given":"Yan","email":"","affiliations":[],"preferred":false,"id":903534,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tan, Ning","contributorId":269583,"corporation":false,"usgs":false,"family":"Tan","given":"Ning","email":"","affiliations":[{"id":55993,"text":"Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, CHINA","active":true,"usgs":false}],"preferred":false,"id":903535,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Su, Baohuang","contributorId":338746,"corporation":false,"usgs":false,"family":"Su","given":"Baohuang","email":"","affiliations":[],"preferred":false,"id":903536,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yuan, Xiayu","contributorId":338747,"corporation":false,"usgs":false,"family":"Yuan","given":"Xiayu","email":"","affiliations":[],"preferred":false,"id":903537,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhang, Wenchao","contributorId":338748,"corporation":false,"usgs":false,"family":"Zhang","given":"Wenchao","email":"","affiliations":[],"preferred":false,"id":903538,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liu, Bo","contributorId":338749,"corporation":false,"usgs":false,"family":"Liu","given":"Bo","email":"","affiliations":[],"preferred":false,"id":903539,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hunter, Stephen","contributorId":332962,"corporation":false,"usgs":false,"family":"Hunter","given":"Stephen","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":903540,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Haywood, Alan M","contributorId":206288,"corporation":false,"usgs":false,"family":"Haywood","given":"Alan","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":903541,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Abe-Ouchi, 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J.","contributorId":101168,"corporation":false,"usgs":true,"family":"Lunt","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":903545,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Dolan, Aisling M","contributorId":206287,"corporation":false,"usgs":false,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":903546,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Chandan, Deepak","contributorId":269588,"corporation":false,"usgs":false,"family":"Chandan","given":"Deepak","email":"","affiliations":[{"id":55996,"text":"Department of Physics, University of Toronto, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":903547,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Lohmann, Gerrit","contributorId":336927,"corporation":false,"usgs":false,"family":"Lohmann","given":"Gerrit","email":"","affiliations":[],"preferred":false,"id":903548,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":316789,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":903436,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Tindall, Julia C.","contributorId":147376,"corporation":false,"usgs":false,"family":"Tindall","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":903549,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Baatsen, Michiel","contributorId":269586,"corporation":false,"usgs":false,"family":"Baatsen","given":"Michiel","email":"","affiliations":[{"id":55995,"text":"Centre for Complex Systems Science, Utrecht University, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":903550,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Peltier, W. Richard","contributorId":150752,"corporation":false,"usgs":false,"family":"Peltier","given":"W.","email":"","middleInitial":"Richard","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":903551,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Li, Qiang","contributorId":197310,"corporation":false,"usgs":false,"family":"Li","given":"Qiang","email":"","affiliations":[],"preferred":false,"id":903552,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Feng, Ran","contributorId":269581,"corporation":false,"usgs":false,"family":"Feng","given":"Ran","email":"","affiliations":[{"id":55991,"text":"Department of Geosciences, College of Liberal Arts and Sciences, University of Connecticut, Connecticut, USA","active":true,"usgs":false}],"preferred":false,"id":903553,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Salzmann, Ulrich","contributorId":173101,"corporation":false,"usgs":false,"family":"Salzmann","given":"Ulrich","email":"","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":903554,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Chan, Wing-Le","contributorId":94941,"corporation":false,"usgs":true,"family":"Chan","given":"Wing-Le","email":"","affiliations":[],"preferred":false,"id":903555,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Zhang, Zhongshi","contributorId":269576,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhongshi","email":"","affiliations":[{"id":55988,"text":"Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":903556,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Williams, Charles J. R.","contributorId":338750,"corporation":false,"usgs":false,"family":"Williams","given":"Charles","email":"","middleInitial":"J. R.","affiliations":[],"preferred":false,"id":903557,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Ramstein, Gilles","contributorId":269585,"corporation":false,"usgs":false,"family":"Ramstein","given":"Gilles","email":"","affiliations":[{"id":55994,"text":"Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France","active":true,"usgs":false}],"preferred":false,"id":903558,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}} ,{"id":70255657,"text":"70255657 - 2024 - Bird community response to one decade of riparian restoration along the Colorado River delta in Mexico","interactions":[],"lastModifiedDate":"2024-06-27T12:29:17.527173","indexId":"70255657","displayToPublicDate":"2024-06-05T07:28:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Bird community response to one decade of riparian restoration along the Colorado River delta in Mexico","docAbstract":"We assessed the response of breeding birds to one decade of riparian restoration in the Colorado River delta including active vegetation management since 2010 and various environmental water deliveries since 2014. Bird surveys were conducted from 2002 to 2021 at 230 bird count stations distributed along five river reaches with different hydrogeomorphic characteristics, across 7 routes in actively revegetated (“restored”) sites, and 20 routes in non-actively revegetated (“control”) sites. Both restored and control sites could be affected by environmental flows/water deliveries. We examined the temporal trajectories of four community-aggregated metrics for 53 breeding species, and the number of detections (counts) for the 30 most frequently detected among the 53 species at the restored and control sites, using generalized linear mixed-effects models. Diversity and richness of the 53 breeding species were highest in the wettest river reach, but higher than in control sites in only one restored site within one of the driest river reaches. The avian community was recovering in control sites, ameliorating a long-term declining trend, perhaps indicating indirect positive effects of active restoration. The response to restoration of the 30 most common species was species-specific. Ten of the 16 riparian forest specialist species had more detections in restored sites of the wettest reach (vs. only two in the driest reach). Species with preference for agricultural fields and generalists had the highest counts along the entire delta. Generalists generally decreased following revegetation, which was another positive restoration effect. Our results will be used to help guide future restoration efforts.
Aquatic invasive species can affect food web structure, native fish growth, and production, depending on the traits of the invasive species and the pre-invasion conditions of the ecosystem. Thermal tolerances and behavioral traits can further influence differential exploitation of resources shared between native and invasive species. An unauthorized introduction of redside shiner (Richardsonius balteatus) into reservoirs in the Upper Skagit River, Washington, USA caused concern of potential competition, decreased production, and recruitment of rainbow trout (Oncorhynchus mykiss). We combined bioenergetics modeling and stable isotope analysis with field data to quantify consumption demand of native and invasive fishes and related consumption to the availability of key zooplankton prey. Per capita consumption on Daphnia by redside shiner was low; however, their high abundance imposed considerable demand on prey resources in Ross Lake. Although monthly consumption demand by the fish community was less than 50% of the monthly production and biomass of Daphnia in Ross Lake, the current Daphnia densities and growth of rainbow trout were considerably lower than before the invasion. These reductions correspond to lower annual consumption of Daphnia. Our study provides insight on mechanisms that influence food web impacts of an invasive omnivore in cold-water reservoirs.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-024-05540-3","usgsCitation":"Johnson, R.C., Code, T.J., Stenberg, K.D., Mclean, J.H., Jensen, B.L., Hoy, M.S., and Beauchamp, D., 2024, Change in growth and prey utilization for a native salmonid following invasion by an omnivorous minnow in an oligotrophic reservoir: Hydrobiologia, v. 851, p. 3767-3785, https://doi.org/10.1007/s10750-024-05540-3.","productDescription":"19 p.","startPage":"3767","endPage":"3785","ipdsId":"IP-156682","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":430962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Ross Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.23800601163671,\n 48.99950480041659\n ],\n [\n -121.23800601163671,\n 48.70447051967537\n ],\n [\n -120.91401693322638,\n 48.70447051967537\n ],\n [\n -120.91401693322638,\n 48.99950480041659\n ],\n [\n -121.23800601163671,\n 48.99950480041659\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"851","noUsgsAuthors":false,"publicationDate":"2024-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Rachelle Carina 0000-0003-1480-4088","orcid":"https://orcid.org/0000-0003-1480-4088","contributorId":241962,"corporation":false,"usgs":true,"family":"Johnson","given":"Rachelle","email":"","middleInitial":"Carina","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Code, Tessa Julianne 0000-0003-1481-020X","orcid":"https://orcid.org/0000-0003-1481-020X","contributorId":331687,"corporation":false,"usgs":true,"family":"Code","given":"Tessa","email":"","middleInitial":"Julianne","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stenberg, Karl D. 0000-0001-9802-2707 kstenberg@usgs.gov","orcid":"https://orcid.org/0000-0001-9802-2707","contributorId":3747,"corporation":false,"usgs":true,"family":"Stenberg","given":"Karl","email":"kstenberg@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mclean, Jonathan H 0000-0001-5940-3689","orcid":"https://orcid.org/0000-0001-5940-3689","contributorId":331688,"corporation":false,"usgs":true,"family":"Mclean","given":"Jonathan","email":"","middleInitial":"H","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, Benjamin Lorenz 0000-0003-1199-973X","orcid":"https://orcid.org/0000-0003-1199-973X","contributorId":306036,"corporation":false,"usgs":true,"family":"Jensen","given":"Benjamin","email":"","middleInitial":"Lorenz","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906175,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoy, Marshal S. 0000-0003-2828-9697","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":220730,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906176,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906177,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70254130,"text":"fs20243003 - 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The region contains uranium resources that could be used to generate electricity. The U.S. Geological Survey (USGS), in cooperation with the National Park Service, Bureau of Land Management, and U.S. Department of Agriculture Forest Service, is conducting studies to answer questions about the environmental effects of mining uranium and other associated elements in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243003","collaboration":"Prepared in cooperation with the National Park Service, Bureau of Land Management, and U.S. Department of Agriculture Forest Service","programNote":"Environmental Health Program","usgsCitation":"Walton-Day, K., Siebers, B.J., Hinck, J.E., Campbell, K.M., Croteau, M.-N., 2024, Balancing natural resource use and extraction of uranium and other elements in the Grand Canyon region: U.S. Geological Survey Fact Sheet 2024–3003, 6 p., https://doi.org/10.3133/fs20243003.","productDescription":"Report: 6 p.; 7 Data Releases","onlineOnly":"N","ipdsId":"IP-143974","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":429447,"rank":17,"type":{"id":34,"text":"Image 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solution-collapse breccia pipe, Grand Canyon area, Coconino County, Arizona"},{"id":481652,"rank":13,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip249","text":"USGS General Information Product 249","linkHelpText":"- Uranium mining, the Grand Canyon region, and the science of an ecosystem"},{"id":428564,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip239","text":"USGS General Information Product 239","linkHelpText":"- Contaminant exposure framework—Havasupai Perspective"},{"id":428591,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F745JX","text":"USGS data release","linkHelpText":"Mineralogical analyses of drill core samples from the Canyon uranium-copper deposit, a solution-collapse breccia pipe, Grand Canyon area, Coconino County, Arizona, USA"},{"id":428589,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912U706","text":"USGS data 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U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
The bridle shiner (Notropis bifrenatus) is a small cyprinid native to the eastern United States and Canada. Bridle shiner populations have declined across their range, and the species now receives concern status or legal protection in 13 states and two provinces. Bridle shiners were historically found in southern and western Maine in densely vegetated, shallow habitats along the shorelines of streams and ponds. We surveyed areas of Maine that supported historical bridle shiner populations using environmental DNA (eDNA) and traditional seine netting methods, and then used eDNA sampling to survey areas with unknown bridle shiner presence. We rediscovered bridle shiner populations at 11 of 32 historically occupied waterbodies and documented bridle shiners in four additional waterbodies. We determined that both eDNA and seine net surveys are viable options for monitoring bridle shiners in Maine and identified ways to streamline the eDNA methods used in this study to reduce the time and cost of future surveys.
","language":"English","publisher":"Elsevier","doi":"10.1139/cjfas-2023-0234","usgsCitation":"Katz, L., Coghlan, S., Blomberg, E., Kinnison, M., York, G., and Zydlewski, J.D., 2024, An integrative approach to assessing bridle shiner (Notropis bifrenatus) distribution using environmental DNA and traditional techniques: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 9, p. 1217-1237, https://doi.org/10.1139/cjfas-2023-0234.","productDescription":"21 p.","startPage":"1217","endPage":"1237","ipdsId":"IP-156983","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.28687941744356,\n 44.13283787289649\n ],\n [\n -70.98433494928311,\n 43.14408728902501\n ],\n [\n -68.27891486555993,\n 43.975774632672454\n ],\n [\n -67.15480975601744,\n 44.885588956909174\n ],\n [\n -70.28687941744356,\n 44.13283787289649\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Katz, Lara S.","contributorId":348223,"corporation":false,"usgs":false,"family":"Katz","given":"Lara S.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":348224,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen M. Jr.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blomberg, Erik J.","contributorId":348225,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinnison, Michael T.","contributorId":348226,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"York, Geneva","contributorId":348227,"corporation":false,"usgs":false,"family":"York","given":"Geneva","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923272,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":923273,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261675,"text":"70261675 - 2024 - Feature-based maximum entropy for geophysical properties of the seabed","interactions":[],"lastModifiedDate":"2024-12-18T16:15:31.965138","indexId":"70261675","displayToPublicDate":"2024-06-03T09:58:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2516,"text":"Journal of the Acoustical Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Feature-based maximum entropy for geophysical properties of the seabed","docAbstract":"The coherent recombination of a direct and seabed reflected path is sensitive to the geophysical properties of the seabed. The concept of feature-based inversion is used in the analysis of acoustic data collected on a vertical line array (VLA) on the New England continental shelf break in about 200 m of water. The analysis approach for the measurements is based on a ray approach in which a direct and bottom reflected path is recombined, resulting in constructive and destructive interference of the acoustic amplitudes with frequency. The acoustic features have the form of prominent nulls of the measured received levels as a function of frequency as a broadband (500–4500 Hz) source passes the closest point of approach to the VLA. The viscous grain shearing (VGS) model is employed to parameterize a two-layer seabed model. The most likely seabed is a sand sediment with a porosity of about 0.42. There is a possibility of a thin (less than 0.5 m) surface layer having a slightly higher porosity between 0.45 and 0.50. Using the estimates for the VGS parameters inferred from the short-range frequency features, a normal mode model is used to predict the received acoustic levels over larger range scales.
","language":"English","publisher":"Acoustical Society of America","doi":"10.1121/10.0026202","usgsCitation":"Knobles, D., Hodgkiss, W.S., Chaytor, J., Neilsen, T., and Lin, Y., 2024, Feature-based maximum entropy for geophysical properties of the seabed: Journal of the Acoustical Society of America, v. 155, https://doi.org/10.1121/10.0026202.","productDescription":"9 p.","startPage":"3567","ipdsId":"IP-161138","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1121/10.0026202","text":"Publisher Index Page"},{"id":465279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"New England shelf break","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.233333,\n 40.1\n ],\n [\n -71.233333,\n 39.6833\n ],\n [\n -70.4333,\n 39.6833\n ],\n [\n -70.4333,\n 40.1\n ],\n [\n -71.233333,\n 40.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"155","edition":"3559","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Knobles, D.P.","contributorId":347335,"corporation":false,"usgs":false,"family":"Knobles","given":"D.P.","affiliations":[{"id":83140,"text":"KSA, LLC","active":true,"usgs":false}],"preferred":false,"id":921396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkiss, William S..","contributorId":317854,"corporation":false,"usgs":false,"family":"Hodgkiss","given":"William","email":"","middleInitial":"S..","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":921397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":921398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neilsen, Tracianne","contributorId":347336,"corporation":false,"usgs":false,"family":"Neilsen","given":"Tracianne","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":921399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Ying-Tsong","contributorId":302804,"corporation":false,"usgs":false,"family":"Lin","given":"Ying-Tsong","email":"","affiliations":[],"preferred":false,"id":921400,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255141,"text":"70255141 - 2024 - Development of high surface area organosilicate nanoparticulate thin films for use in sensing hydrophobic compounds in sediment and water","interactions":[],"lastModifiedDate":"2024-06-12T14:15:49.325836","indexId":"70255141","displayToPublicDate":"2024-06-03T09:11:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17819,"text":"Biosensors","active":true,"publicationSubtype":{"id":10}},"title":"Development of high surface area organosilicate nanoparticulate thin films for use in sensing hydrophobic compounds in sediment and water","docAbstract":"The scope of this study was to apply advances in materials science, specifically the use of organosilicate nanoparticles as a high surface area platform for passive sampling of chemicals or pre-concentration for active sensing in multiple-phase complex environmental media. We have developed a novel nanoporous organosilicate (NPO) film as an extraction phase and proof of concept for application in adsorbing hydrophobic compounds in water and sediment. We characterized the NPO film properties and provided optimization for synthesis and coatings in order to apply the technology in environmental media. NPO films in this study had a very high surface area, up to 1325 m2/g due to the high level of mesoporosity in the film. The potential application of the NPO film as a sorbent phase for sensors or passive samplers was evaluated using a model hydrophobic chemical, polychlorinated biphenyls (PCB), in water and sediment. Sorption of PCB to this porous high surface area nanoparticle platform was highly correlated with the bioavailable fraction of PCB measured using whole sediment chemistry, porewater chemistry determined by solid-phase microextraction fiber methods, and the Lumbriculus variegatus bioaccumulation bioassay. The surface-modified NPO films in this study were found to highly sorb chemicals with a log octanol-water partition coefficient (Kow) greater than four; however, surface modification of these particles would be required for application to other chemicals.
","language":"English","publisher":"MDPI","doi":"10.3390/bios14060288","usgsCitation":"Bok, S., Korampally, V.R., Stanley, J., Gangopadhyay, K., Gangopadhyay, S., and Steevens, J.A., 2024, Development of high surface area organosilicate nanoparticulate thin films for use in sensing hydrophobic compounds in sediment and water: Biosensors, v. 14, no. 6, 288, 12 p., https://doi.org/10.3390/bios14060288.","productDescription":"288, 12 p.","ipdsId":"IP-155021","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":439451,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/bios14060288","text":"Publisher Index Page"},{"id":434948,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7251H4B","text":"USGS data release","linkHelpText":"Development of High Surface Area Organosilicate Nanoparticulate Thin Films for Use in Sampling Hydrophobic Compounds in Sediment-Data"},{"id":430011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bok, Sangho","contributorId":336578,"corporation":false,"usgs":false,"family":"Bok","given":"Sangho","email":"","affiliations":[{"id":32977,"text":"Southern Utah University","active":true,"usgs":false}],"preferred":false,"id":903523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Korampally, Venumadhav R.","contributorId":336576,"corporation":false,"usgs":false,"family":"Korampally","given":"Venumadhav","email":"","middleInitial":"R.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":903524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Jacob K.","contributorId":338742,"corporation":false,"usgs":false,"family":"Stanley","given":"Jacob K.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":903525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gangopadhyay, Keshab","contributorId":336579,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Keshab","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":903526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gangopadhyay, Shubhra","contributorId":336580,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Shubhra","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":903527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":903528,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255654,"text":"70255654 - 2024 - Avian communities respond to plant and landscape composition in actively revegetated floodplains of the Colorado River delta in Mexico","interactions":[],"lastModifiedDate":"2025-12-11T22:41:18.729151","indexId":"70255654","displayToPublicDate":"2024-06-03T07:30:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Avian communities respond to plant and landscape composition in actively revegetated floodplains of the Colorado River delta in Mexico","docAbstract":"We examined the influence of local habitat factors such as plant community composition and species cover, and landscape habitat factors (e.g., land cover types) on the composition of the avian community in an arid-region large river delta (Colorado River). This 106 river km-long study area has experienced restoration through environmental water deliveries and active management of vegetation for ca. 10 years after decades of degradation. Variation partitioning and spatial models (Moran Eigenvector Maps) showed that plant communities and land cover combined explained 29.3% of the variability of 115 bird species, with a high overlap of 13.1% as vegetation and landscape factors were partially confounded and spatially correlated. Redundancy analyses showed that a higher cover of native riparian trees and shrubs and a larger amount of land covered by forests, typical characteristics of revegetated sites, favored bird species with affinity for riparian forests. Marshland and open water landscape features and high cover of macrophytes (which were common in the wettest river reach among the five included in the study), irrespective of active revegetation, were associated with a higher prevalence of wetland birds. Dominance by the non-native shrub Tamarix spp. and, especially, barren areas were detrimental to most bird species. The proportion of agricultural lands around the study sites was related to high abundance of generalists and some non-native species. Overall, our study showed that both local (vegetation) and landscape (land use) factors are important considerations for restoration of riparian bird communities.
Sea-level rise rates are predicted to surpass rates of wetland vertical adjustment in the coming decades in many areas, increasing the potential for wetland submergence. Information on where wetland migration is possible can help natural resource managers for planning land acquisition or enhancing habitat connectivity to bolster adaptation of coastal wetlands to rising seas. Elevation-based models of wetland migration are often hampered with uncertainty associated with ground surface elevation, current water levels (i.e., tides and extreme water levels), and future water levels from sea-level rise. Here, we developed an approach that involved digital elevation model error reduction and the use of Monte Carlo simulations that utilize uncertainty assumptions regarding elevation error, contemporary water levels, and future sea levels to identify potential wetland migration areas. Our analyses were developed for Duvall and Nassau Counties in northeastern Florida (USA). We focus on the migration of regularly oceanic-flooded wetlands (i.e., flooded by oceanic water daily) and irregularly oceanic-flooded wetlands (i.e., flooded by oceanic water less frequently than daily). For two relative sea-level rise scenarios based on the 0.5 m and the 1.5 m global mean sea-level rise scenarios, we quantified migration by wetland flooding frequency class and identified land cover and land use types that are vulnerable to future exposure to oceanic waters. The variability in total coverage and relative coverage of wetland migration from our results highlights how topography and accelerated sea-level rise interact. Our wetland migration results communicate uncertainty by showing flooding frequency class as probabilistic outputs.
Integrated hydrological models (IHMs) help characterize the complexity of surface–groundwater interactions. The cascade routing and re-infiltration (CRR) concept, recently applied to a MODFLOW 6 IHM, improved conceptualization and simulation of overland flow processes. The CRR controls the transfer of rejected infiltration and groundwater exfiltration from upslope areas to adjacent downslope areas where that water can be evaporated, re-infiltrated back to subsurface, or discharged to streams as direct runoff. The partitioning between these three components is controlled by uncertain parameters that must be estimated. Thus, by quantifying and reducing those uncertainties, next to uncertainties of the other model parameters (e.g. hydraulic and storage parameters), the reliability of the CRR is improved and the IHM is better suited for decision support modelling, the two key objectives of this work. To this end, the remotely sensed MODIS-ET product was incorporated into the calibration process for complementing traditional hydraulic head and streamflow observations. A total of approximately 150,000 observations guided the calibration of a 13-year MODFLOW 6 IHM simulation of the Sardon catchment (Spain) with daily stress periods. The model input uncertainty was represented by grid-cell-scale parameterization, yielding approximately 500,000 unknown input parameters to be conditioned. The calibration was carried out through an iterative ensemble smoother. Incorporating the MODIS-ET data improved the CRR implementation, and reduced uncertainties associated with other model parameters. Additionally, it significantly reduced the uncertainty associated with net recharge, a critical flux for water management that cannot be directly measured and rather is commonly estimated by IHM simulations.
Streams draining karst areas with rapid groundwater transit times may respond relatively quickly to nitrogen reduction strategies, but the complex hydrologic network of interconnected sinkholes and springs is challenging for determining the placement and effectiveness of management practices. This study aims to inform nitrogen reduction strategies in a representative agricultural karst setting of the Chesapeake Bay watershed (Fishing Creek watershed, Pennsylvania) with known elevated nitrate contamination and a previous documented groundwater residence time of less than a decade. During baseflow conditions, streamflow did not increase with drainage area. Headwaters and the main stem lost substantial flow to sinkholes until eventually discharging along large springs downstream. Seasonal hydrologic conditions shift the flow and nitrogen load spatially among losing and gaining stream sections. A compilation of nitrogen source inputs with the geochemistry and the pattern of enrichment of δ15N and δ18O suggest that the nitrogen in streams and springs during baseflow represents a mixture of manure, fertilizer, and wastewater sources with low potential for denitrification. The pH and calcite saturation index increased along generalized flow paths from headwaters to springs and indicate shorter groundwater residence times in baseflow during the spring versus summer. Given the substantial investment in management practices, fixed monitoring sites could incorporate synoptic water sampling to properly monitor long-term progress and help inform management actions in karst watersheds. Although karst watersheds have the potential to respond to nitrogen reduction strategies due to shorter groundwater residence times, high nitrogen inputs, effectiveness of conservation practices, and release of legacy nutrients within the karst cavities could confound progress of water quality goals.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.20578","usgsCitation":"Clune, J.W., Cravotta, C., Husic, A., Dozier, H.J., and Schmidt, K.E., 2024, Complex hydrology and variability of nitrogen sources in a karst watershed: Journal of Environmental Quality, v. 53, no. 4, p. 492-507, https://doi.org/10.1002/jeq2.20578.","productDescription":"16 p.","startPage":"492","endPage":"507","ipdsId":"IP-142123","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":439459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20578","text":"Publisher Index Page"},{"id":430890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Fishing Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.83891540849118,\n 41.44436215062939\n ],\n [\n -76.8086844380523,\n 41.44436215062939\n ],\n [\n -76.8086844380523,\n 40.98993659464011\n ],\n [\n -75.83891540849118,\n 40.98993659464011\n ],\n [\n -75.83891540849118,\n 41.44436215062939\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Clune, John W. 0000-0002-3563-1975","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":209635,"corporation":false,"usgs":true,"family":"Clune","given":"John","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":258816,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Husic, Admin 0000-0002-4225-2252","orcid":"https://orcid.org/0000-0002-4225-2252","contributorId":340064,"corporation":false,"usgs":false,"family":"Husic","given":"Admin","email":"","affiliations":[{"id":81445,"text":"Assistant Professor (Kansas University)","active":true,"usgs":false}],"preferred":false,"id":906049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dozier, Hilary J 0000-0001-6869-8466","orcid":"https://orcid.org/0000-0001-6869-8466","contributorId":335092,"corporation":false,"usgs":true,"family":"Dozier","given":"Hilary","email":"","middleInitial":"J","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, Kurt Eric 0009-0002-5173-551X","orcid":"https://orcid.org/0009-0002-5173-551X","contributorId":340065,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kurt","email":"","middleInitial":"Eric","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257092,"text":"70257092 - 2024 - USGS invasive carp database management & integration support","interactions":[],"lastModifiedDate":"2024-08-09T16:49:23.321768","indexId":"70257092","displayToPublicDate":"2024-06-01T11:43:58","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"USGS invasive carp database management & integration support","docAbstract":"Invasive carp tracking, monitoring, and contracted removal will continue throughout the Upper IWW system as part of an adaptive management effort to mitigate, control, and contain invasive carp. To help facilitate these actions, there is a need to compile and analyze data from the multitude of partner agencies that are collecting invasive carp-related data throughout the Illinois River system. These data are often in disparate formats, and integrating these data into a common format allows both researchers and managers to assess invasive carp monitoring, control, and removal efforts at several scales is necessary. Ensuring the interoperability of these data sets allows for their use in various analyses and modeling efforts. Implementing an interoperable data management framework also provides mechanisms for end users to find and use existing data. Integrating data for use in modeling and analysis furthers the MRWG partnership’s collective understanding of invasive carp life history, distribution, and movement and can be used to facilitate adaptive management actions (e.g., directing monitoring, sampling, and removal efforts; assessing invasive carp abundance to support modeling efforts; informing deployment of control actions). An effective data management strategy will streamline the database update process, providing partners with timely, well-organized, uniformly formatted data and analyses in support of informed decision-making processes.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Monitoring and response plan","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Invasive Carp Regional Coordinating Committee","usgsCitation":"Brey, M.K., and Fritts, A.K., 2024, USGS invasive carp database management & integration support, 4 p.","productDescription":"4 p.","startPage":"90","endPage":"93","ipdsId":"IP-151293","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":432420,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://invasivecarp.us/PlansReports.html","linkFileType":{"id":5,"text":"html"}},{"id":432447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Waterway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.48380903104598,\n 41.68958409016773\n ],\n [\n -87.64143789713586,\n 41.8332919304695\n ],\n [\n -89.48044133484973,\n 41.38806459671454\n ],\n [\n -90.75022942279477,\n 39.83926695317629\n ],\n [\n -90.66265783052245,\n 39.082040884611246\n ],\n [\n -90.47000032752403,\n 38.809609526616384\n ],\n [\n -90.39118589447908,\n 38.89826454066113\n ],\n [\n -90.39118589447908,\n 39.86615823720618\n ],\n [\n -89.32281246875988,\n 40.847090394251495\n ],\n [\n -89.200212239579,\n 41.184074184856854\n ],\n [\n -88.24568188381326,\n 41.32233092104789\n ],\n [\n -87.80782392245264,\n 41.46029495699605\n ],\n [\n -87.48380903104598,\n 41.68958409016773\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909372,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70256149,"text":"70256149 - 2024 - Post-wildfire curve number estimates for the southern Rocky Mountains in Colorado, USA","interactions":[],"lastModifiedDate":"2026-02-03T15:43:38.894615","indexId":"70256149","displayToPublicDate":"2024-06-01T09:32:17","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ERDC-TR-24-12","title":"Post-wildfire curve number estimates for the southern Rocky Mountains in Colorado, USA","docAbstract":"The curve number method first developed by the US Department of Agriculture Soil Conservation Service (now the Natural Resources Conservation Service) is often used for post-wildfire runoff assessments. These assessments are critical for land and emergency managers making decisions on life and property risks following a wildfire event. Three approaches (i.e., historical event observations, linear regression model, and regression tree model) were used to help estimate a post-wildfire curve number from watershed and wildfire parameters. For the first method, we used runoff events from 102 burned watersheds in Colorado, southern Wyoming, northern New Mexico, and eastern Utah to quantify changes in curve number values from pre- to post-wildfire conditions. The curve number changes from the measured runoff events vary substantially between positive and negative values. The measured curve number changes were then associated with watershed characteristics (e.g., slope, elevation, northness, and eastness) and land cover type to develop prediction models that provide estimates of post-wildfire curve number changes. Finally, we used a regression tree method to demonstrate that accurate predications can be developed using the measured curve number changes from our study domain. These models can be used for future post-wildfire assessments within the region.
","language":"English","publisher":"US Army Engineer Research and Development Center","doi":"10.21079/11681/48652","usgsCitation":"Giovando, J., Reis, W., Shillito, R., Shaloka, E., Chow, C., Kohn, M.S., and Memarsadeghi, N., 2024, Post-wildfire curve number estimates for the southern Rocky Mountains in Colorado, USA: Technical Report ERDC-TR-24-12, ix, 84 p., https://doi.org/10.21079/11681/48652.","productDescription":"ix, 84 p.","ipdsId":"IP-162032","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":499444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"southern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.95412182470984,\n 34.62746181535826\n ],\n [\n -103.83257544602158,\n 34.78603007078627\n ],\n [\n -104.19360390493368,\n 40.626407642715634\n ],\n [\n -104.90056848621875,\n 42.22354390303653\n ],\n [\n -114.15700156995486,\n 41.76504082769486\n ],\n [\n -113.95988170488984,\n 40.27157097499236\n ],\n [\n -109.46888006608783,\n 37.34012253873847\n ],\n [\n -108.99864474095172,\n 37.28173602808141\n ],\n [\n -108.95412182470984,\n 34.62746181535826\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Giovando, Jeremy","contributorId":352388,"corporation":false,"usgs":false,"family":"Giovando","given":"Jeremy","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":906925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reis, Wyatt","contributorId":340330,"corporation":false,"usgs":false,"family":"Reis","given":"Wyatt","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shillito, Rose","contributorId":340331,"corporation":false,"usgs":false,"family":"Shillito","given":"Rose","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaloka, Elizabeth","contributorId":340332,"corporation":false,"usgs":false,"family":"Shaloka","given":"Elizabeth","affiliations":[{"id":81580,"text":"US Army Corps of Engineers Philadelphia District","active":true,"usgs":false}],"preferred":false,"id":906928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chow, Christina","contributorId":340333,"corporation":false,"usgs":false,"family":"Chow","given":"Christina","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Memarsadeghi, Natalie","contributorId":340336,"corporation":false,"usgs":false,"family":"Memarsadeghi","given":"Natalie","affiliations":[{"id":81581,"text":"Coastal and Hydraulics Laboratory US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906931,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70255713,"text":"70255713 - 2024 - Restoring Pacific Lamprey in the Umpqua River Basin of Oregon: A workshop summary","interactions":[],"lastModifiedDate":"2024-07-02T14:16:10.736439","indexId":"70255713","displayToPublicDate":"2024-06-01T09:07:51","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Restoring Pacific Lamprey in the Umpqua River Basin of Oregon: A workshop summary","docAbstract":"The Umpqua River Basin in southwestern Oregon (Figure 1) is part of the lands inhabited by the Cow Creek Band of Umpqua Tribe of Indians and an area of active co-management authority. This Basin supports a unique fish fauna, including important populations of Pacific salmon (Oncorhynchus spp.) and steelhead (O. mykiss), and other native fishes that are endemic to the region (Mims et al. 2018). Among these species, the Pacific Lamprey (Entosphenus tridentatus) is one of the most unique, representing an ancient lineage of jawless fishes that long predates the evolution of any other species of fish in the basin (Clemens et al. 2017, 2021a). The Pacific Lamprey also represents an important cultural and food resource that features prominently in the indigenous practices of the Cow Creek Band of Umpqua Tribe of Indians.
This report provides a select summary of topics related to the conservation of Pacific Lamprey in the Umpqua River Basin. Many of the topics addressed herein were discussed in a workshop co-hosted by the Cow Creek Band of Umpqua Tribe of Indians and the U.S. Geological Survey in April of 2022. This workshop was focused on threats to Pacific Lamprey in fresh waters of the basin. The workshop highlighted science conducted over the past 15 years by local managers and researchers to understand and address these threats and provide new information relevant to the conservation and restoration of Pacific Lamprey. Attendees included staff from the Coquille Indian Tribe, Yakama Nation, Columbia River Inter-Tribal Fish Commission, Partnership for Umpqua Rivers, Rogue River Watershed Council, Curry Watersheds Council, PacifiCorp, Trout Unlimited, Jackson Soil and Water Conservation District, Oregon Department of Fish and Wildlife, Bureau of Land Management, U.S. Fish and Wildlife Service, and U.S. Forest Service. This report provides an overview of this workshop and recent science and provides an overview of potential future efforts that could inform restoration of Pacific Lamprey.
This summary is organized into four sections that relate to the main topics of the workshop: 1) The physical habitat template (stream flow, instream wood, sediment, and water temperature), 2) movement barriers and reservoirs, 3) biological invasions, and 4) climate adaptation. These do not represent an exhaustive list of topics related to conservation of Pacific Lamprey in the Umpqua Basin.
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present a case study using trapping data and species accumulation theory to assess the sampling effort needed to detect species that are rare in habitats sampled as part of the management of invasive European green crab Carcinus maenas on the coast of Washington State and Salish Sea shorelines, such as is desired for early detection of invasive species. In response to detections of green crab on the west coast of North America monitoring efforts, including early detection monitoring, have increased. The goal of invasive species early detection monitoring programs is to detect new infestations soon after introduction so that eradication and quarantine measures can be used to control their spread. However, detection of newly introduced invasive species often occurs after populations are large and well established. The ability to detect newly introduced invasive species is affected by sampling procedures, including how much effort is expended. To assess the level of trapping effort needed to detect green crab and other taxa when they are rare, we calculate sample-based rarefaction curves, total species richness, and estimates of sample completeness. We then use these estimates to describe the relationship between sampling effort and detection at two different spatial scales. Our results suggest that high probability early detection of green crabs or other rare taxa in many coastal waterbodies will require significantly more trapping effort than was expended in 2020. Our analyses further suggest that the effort required to provide for early detection was less at the site-specific spatial scale than at the waterbody scale. However, sample completeness at the site-specific spatial scale was negatively correlated with species richness. Current efforts to look for new green crab populations and to manage existing populations provide an opportunity to look for other invasive organisms that may establish in similar habitats.
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2024.15.2.02","usgsCitation":"Counihan, T., and Thom, T., 2024, How much trapping effort is needed for early detection of European green crab?: Management of Biological Invasions, v. 15, no. 2, p. 187-200, https://doi.org/10.3391/mbi.2024.15.2.02.","productDescription":"14 p.","startPage":"187","endPage":"200","ipdsId":"IP-157261","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":439465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2024.15.2.02","text":"Publisher Index Page"},{"id":430891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.23804807588527,\n 47.163183758898896\n ],\n [\n -124.23804807588527,\n 46.32149165184737\n ],\n [\n -123.76087422518893,\n 46.32149165184737\n ],\n [\n -123.76087422518893,\n 47.163183758898896\n ],\n [\n -124.23804807588527,\n 47.163183758898896\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.56864290373127,\n 48.64237528593006\n ],\n [\n -122.56864290373127,\n 48.5481969623774\n ],\n [\n -122.40987717111287,\n 48.5481969623774\n ],\n [\n -122.40987717111287,\n 48.64237528593006\n ],\n [\n -122.56864290373127,\n 48.64237528593006\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.69140002305605,\n 48.9958606425881\n ],\n [\n -122.83379815437331,\n 48.9958606425881\n ],\n [\n -122.83379815437331,\n 48.9034195723365\n ],\n [\n -122.69140002305605,\n 48.9034195723365\n ],\n [\n -122.69140002305605,\n 48.9958606425881\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":905951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thom, Theresa","contributorId":224436,"corporation":false,"usgs":false,"family":"Thom","given":"Theresa","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":905952,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70257852,"text":"70257852 - 2024 - Using surficial geologic maps, vegetation, and monitoring to address erosion impacts from grazing in Channel Islands National Park, California","interactions":[],"lastModifiedDate":"2024-08-29T13:58:27.215819","indexId":"70257852","displayToPublicDate":"2024-06-01T08:38:28","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using surficial geologic maps, vegetation, and monitoring to address erosion impacts from grazing in Channel Islands National Park, California","docAbstract":"Employing a map-unit classification scheme based on geomorphic process and age, the U.S. Geological Survey (USGS) mapped Quaternary surficial deposits of the five islands comprising Channel Islands National Park (CHIS), California, as no such maps previously existed. Mapping was motivated through an agreement with the National Park Service (NPS) to aid natural resource assessments, including post-grazing disturbance recovery and identification of mass wasting and tectonic hazards. The resulting detailed (1:12,000 scale) maps portray areas of upland erosional transport processes and alluvial, fluvial, eolian, beach, marine terrace, mass wasting, and mixed depositional processes at a scale commensurate with the process signal on the landscape. Detailed, GPS-located observations of sedimentology, pedogenic development, landscape position, and geomorphology constrain map unit identification. In addition, map-unit boundary delineation was determined in a GIS using a variety of high-resolution (sub-meter) aerial imagery and lidar-based DEMs complemented by derivative raster products. The GIS geodatabase schema used is GeMS compliant. Resolvable map-unit widths are as small as 10-15 meter. Locational accuracy of unit boundaries is estimated to be as low as 10 m or better. Detailed mapping is at a scale allowing determination of geomorphic transport processes operating on the landscape and conveys geologic information to land managers at a resolution commensurate with park resources. Map unit ages are constrained by relative soil chronostratigraphy, vertebrate and invertebrate fossils, and materials collected for dating control using radiogenic, luminescence, and cosmogenic radionuclide techniques. Associated topical studies examined connections between geology, surface water, and vegetation distribution and restoration.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic mapping forum 23/24 abstracts;, Minnesota Geological Survey Open File Report OFR-24-2","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Schmidt, K., Minor, S.A., and McEachern, K., 2024, Using surficial geologic maps, vegetation, and monitoring to address erosion impacts from grazing in Channel Islands National Park, California, in Geologic mapping forum 23/24 abstracts;, Minnesota Geological Survey Open File Report OFR-24-2, p. 47-49.","productDescription":"3 p.","startPage":"47","endPage":"49","ipdsId":"IP-161165","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":433284,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/263584","linkFileType":{"id":5,"text":"html"}},{"id":433298,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.96667530938718,\n 33.45538363536106\n ],\n [\n -119.30736396721716,\n 34.12663308256873\n ],\n [\n -120.68925841077544,\n 34.12029527315251\n ],\n [\n -120.56293565000705,\n 33.8123420796459\n ],\n [\n -119.04323455833757,\n 33.423440475929695\n ],\n [\n -118.96667530938718,\n 33.45538363536106\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Kevin 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":200618,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","affiliations":[],"preferred":true,"id":911825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":911826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":911827,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254763,"text":"70254763 - 2024 - Identifying the forage base and critical forage taxa for Chesapeake waterbirds","interactions":[],"lastModifiedDate":"2024-12-09T15:33:46.850991","indexId":"70254763","displayToPublicDate":"2024-06-01T08:16:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying the forage base and critical forage taxa for Chesapeake waterbirds","docAbstract":"To effectively maximize the conservation value of management plans intended to capture ecosystem-wide health, it is essential to obtain an understanding of emergent patterns in dietary dynamics spanning many species. Chesapeake Bay, USA, is a critical ecosystem used annually by a diverse assortment of waterbird species, including several of conservation concern. However, the ecosystem is threatened by many ecological pressures driven largely by the dense human population of the surrounding region. These issues necessitate proactive monitoring and management efforts to track the health of ecosystems like the Chesapeake Bay. Such monitoring efforts of population dynamics require adequate data on the connections between trophic levels to understand how changes to the forage base might influence higher trophic levels, such as these diverse avian predators. However, we have historically lacked standardized quantitative data drawing these connections at the community level, as well as the relative importance of these taxa in the diet of such predators. We collated existing quantitative data on avian dietary composition to construct a database on the diets of 58 waterbird species that make use of the Chesapeake Bay. From this database, we quantified the relative importance of forage taxa to the diet of each waterbird species. Such data can enable managers to develop a comprehensive suite of forage taxa indicators whose abundance and distributions can be monitored as a proxy for ecosystem health. It is our goal that this database be harnessed as a tool to enable conservation practitioners to prioritize indicator taxa for monitoring purposes, contributing towards conservation plans that best address the health of the ecosystem at large.
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