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Waste isolation is a key strategy for mitigating risk from municipal solid waste (MSW) and hazardous waste streams. Conventional covers at MSW facilities are designed for a 30-yr post-closure period where compacted soils and geosynthetics are used to minimize percolation into buried waste. Recently, evapotranspiration (ET) covers have shown beneficial use for MSW management. Evapotranspiration covers encourage infiltration, storage, and transpiration of precipitation to minimize percolation. Such covers may also have beneficial use for long-term waste issues, such as at Uranium Mill Tailings Radiation Control Act (UMTRCA) sites. These sites were covered by a clay radon barrier to create tortuous flow paths that allow radioactive decay and attenuation of short-lived, radon-222 gas. For long-term waste isolation, an ET-radon cover may provide greater resilience by exploiting natural processes instead of resisting them. This update presents a review of the current state-of-the-science regarding ET covers and considerations for long-term applications.

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Sarah","contributorId":293202,"corporation":false,"usgs":false,"family":"Tabatabai","given":"Sarah","email":"","affiliations":[{"id":12536,"text":"U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":846712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntington, Jena 0000-0002-9291-1404","orcid":"https://orcid.org/0000-0002-9291-1404","contributorId":204033,"corporation":false,"usgs":true,"family":"Huntington","given":"Jena","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davies, Gwendolyn Elizabeth 0000-0003-1538-8610","orcid":"https://orcid.org/0000-0003-1538-8610","contributorId":293203,"corporation":false,"usgs":true,"family":"Davies","given":"Gwendolyn","email":"","middleInitial":"Elizabeth","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuhrmann, Mark","contributorId":293204,"corporation":false,"usgs":false,"family":"Fuhrmann","given":"Mark","email":"","affiliations":[{"id":12536,"text":"U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":846715,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274308,"text":"70274308 - 2022 - Fluid transport and storage in the Cascadia forearc influenced by overriding plate lithology","interactions":[],"lastModifiedDate":"2026-03-26T16:14:27.133091","indexId":"70274308","displayToPublicDate":"2022-07-14T10:55:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Fluid transport and storage in the Cascadia forearc influenced by overriding plate lithology","docAbstract":"

Subduction of hydrated oceanic lithosphere can carry water deep into the Earth, with consequences for a range of tectonic and magmatic processes. Most of the fluid is released in the forearc where it plays a critical role in controlling the mechanical properties and seismic behaviour of the subduction megathrust. Here we present results from three-dimensional inversions of data from nearly 400 long-period magnetotelluric sites, including 64 offshore, to provide insights into the distribution of fluids in the forearc of the Cascadia subduction zone. We constrain the geometry of the electrically resistive Siletz terrane, a thickened section of oceanic crust accreted to North America in the Eocene, and the conductive accretionary complex underthrust along the margin. We find that fluids accumulate over timescales exceeding 1 My above the plate in metasedimentary units, while the mafic rocks of Siletzia remain dry. Fluid concentrations tend to peak at slab depths of 17.5 and 30 km, suggesting control by metamorphic processes, but also concentrate around the edges of Siletzia, suggesting that this mafic block is impermeable, with dehydration fluids escaping up-dip along the megathrust. Our results demonstrate that the lithology of the overriding crust can play a critical role in controlling fluid transport in a subduction zone.

","language":"English","publisher":"Nature","doi":"10.1038/s41561-022-00981-8","usgsCitation":"Egbert, G.D., Yang, B., Bedrosian, P.A., Key, K., Livelybrooks, D., Schultz, A., Kelbert, A., and Parris, B., 2022, Fluid transport and storage in the Cascadia forearc influenced by overriding plate lithology: Nature Geoscience, v. 15, p. 677-682, https://doi.org/10.1038/s41561-022-00981-8.","productDescription":"6 p.","startPage":"677","endPage":"682","ipdsId":"IP-130443","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","otherGeospatial":"Cascadia forearc","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.49903582325707,\n 50.200003229484764\n ],\n [\n -132,\n 50.200003229484764\n ],\n [\n -132,\n 40\n ],\n [\n -121.49903582325707,\n 40\n ],\n [\n -121.49903582325707,\n 50.200003229484764\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2022-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Egbert, Gary D.","contributorId":187462,"corporation":false,"usgs":false,"family":"Egbert","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":957814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Bo","contributorId":149369,"corporation":false,"usgs":false,"family":"Yang","given":"Bo","email":"","affiliations":[{"id":13653,"text":"University South Florida","active":true,"usgs":false}],"preferred":false,"id":957815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Key, Kerry","contributorId":367853,"corporation":false,"usgs":false,"family":"Key","given":"Kerry","affiliations":[{"id":87628,"text":"Lamont-Doherty Earth Observatory, Columbia Univ.","active":true,"usgs":false}],"preferred":false,"id":957817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Livelybrooks, Dean","contributorId":367854,"corporation":false,"usgs":false,"family":"Livelybrooks","given":"Dean","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":957818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schultz, Adam","contributorId":197380,"corporation":false,"usgs":false,"family":"Schultz","given":"Adam","affiliations":[],"preferred":false,"id":957819,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Parris, Blake","contributorId":367855,"corporation":false,"usgs":false,"family":"Parris","given":"Blake","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":957821,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262402,"text":"70262402 - 2022 - Africa’s drylands in a changing world: Challenges for wildlife conservation under climate and land-use changes in the Greater Etosha Landscape","interactions":[],"lastModifiedDate":"2025-01-24T14:19:15.490332","indexId":"70262402","displayToPublicDate":"2022-07-14T10:25:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Africa’s drylands in a changing world: Challenges for wildlife conservation under climate and land-use changes in the Greater Etosha Landscape","docAbstract":"
Proclaimed in 1907, Etosha National Park in northern Namibia is an iconic dryland system with a rich history of wildlife conservation and research. A recent research symposium on wildlife conservation in the Greater Etosha Landscape (GEL) highlighted increased concern of how intensification of global change will affect wildlife conservation based on participant responses to a questionnaire. The GEL includes Etosha and surrounding areas, the latter divided by a veterinary fence into large, private farms to the south and communal areas of residential and farming land to the north. Here, we leverage our knowledge of this ecosystem to provide insight into the broader challenges facing wildlife conservation in this vulnerable dryland environment. We first look backward, summarizing the history of wildlife conservation and research trends in the GEL based on a literature review, providing a broad-scale understanding of the socioecological processes that drive dryland system dynamics. We then look forward, focusing on eight key areas of challenge and opportunity for this ecosystem: climate change, water availability and quality, vegetation and fire management, adaptability of wildlife populations, disease risk, human-wildlife conflict, wildlife crime, and human dimensions of wildlife conservation. Using this model system, we summarize key lessons and identify critical threats highlighting future research needs to support wildlife management. Research in the GEL has followed a trajectory seen elsewhere reflecting an increase in complexity and integration across biological scales over time. Yet, despite these trends, a gap exists between the scope of recent research efforts and the needs of wildlife conservation to adapt to climate and land-use changes. Given the complex nature of climate change, in addition to locally existing system stressors, a framework of forward-thinking adaptive management to address these challenges, supported by integrative and multidisciplinary research could be beneficial. One critical area for growth is to better integrate research and wildlife management across land-use types. Such efforts have the potential to support wildlife conservation efforts and human development goals, while building resilience against the impacts of climate change. While our conclusions reflect the specifics of the GEL ecosystem, they have direct relevance for other African dryland systems impacted by global change.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02221","usgsCitation":"Turner, W.C., Périquet, S., Goelst, C., Vera, K., Cameron, E., Alexander, K., Belant, J., Cloete, C., du Preez, P., Getz, W., Hetem, R., Kamath, P., Kasaona, M., Mackenzie, M., Mendelsohn, J., Mfune, J.K., Muntifering, J., Portas, R., Scott, H., Strauss, W., Versfeld, W., Wachter, B., Wittemyer, G., and Kilian, J.W., 2022, Africa’s drylands in a changing world: Challenges for wildlife conservation under climate and land-use changes in the Greater Etosha Landscape: Global Ecology and Conservation, v. 38, e02221, 24 p., https://doi.org/10.1016/j.gecco.2022.e02221.","productDescription":"e02221, 24 p.","ipdsId":"IP-137792","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481080,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02221","text":"Publisher Index 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Ann","contributorId":349839,"corporation":false,"usgs":false,"family":"Scott","given":"H. Ann","affiliations":[],"preferred":false,"id":924915,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Strauss, W. Maartin","contributorId":349840,"corporation":false,"usgs":false,"family":"Strauss","given":"W. Maartin","affiliations":[],"preferred":false,"id":924916,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Versfeld, Wilferd","contributorId":349841,"corporation":false,"usgs":false,"family":"Versfeld","given":"Wilferd","affiliations":[],"preferred":false,"id":924917,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Wachter, Bettina","contributorId":349842,"corporation":false,"usgs":false,"family":"Wachter","given":"Bettina","affiliations":[],"preferred":false,"id":924918,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Wittemyer, George","contributorId":25058,"corporation":false,"usgs":true,"family":"Wittemyer","given":"George","affiliations":[],"preferred":false,"id":924919,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Kilian, J. Werner","contributorId":287156,"corporation":false,"usgs":false,"family":"Kilian","given":"J.","email":"","middleInitial":"Werner","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":924920,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70256739,"text":"70256739 - 2022 - Drought and nutrient pollution produce multiple interactive effects in stream ecosystems","interactions":[],"lastModifiedDate":"2024-09-04T14:46:12.864959","indexId":"70256739","displayToPublicDate":"2022-07-14T09:43:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Drought and nutrient pollution produce multiple interactive effects in stream ecosystems","docAbstract":"

Drought and nutrient pollution can affect the dynamics of stream ecosystems in diverse ways. While the individual effects of both stressors are broadly examined in the literature, we still know relatively little about if and how these stressors interact. Here, we performed a mesocosm experiment that explores the compounded effects of seasonal drought via water withdrawals and nutrient pollution (1.0 mg/L of N and 0.1 mg/L of P) on a subset of Ozark stream community fauna and ecosystem processes. We observed biological responses to individual stressors as well as both synergistic and antagonistic stressor interactions. We found that drying negatively affected periphyton assemblages, macroinvertebrate colonization, and leaf litter decomposition in shallow habitats. However, in deep habitats, drought-based increases in fish density caused trophic cascades that released algal communities from grazing pressures; while nutrient enrichment caused bottom-up cascades that influenced periphyton variables and crayfish growth rates. Finally, the combined effects of drought and nutrient enrichment interacted antagonistically to increase survival in longear sunfish; and stressors acted synergistically on grazers causing a trophic cascade that increased periphyton variables. Because stressors can directly and indirectly impact biota—and that the same stressor pairing can act differentially on various portions of the community simultaneously—our broad understanding of individual stressors might not adequately inform our knowledge of multi-stressor systems.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0269222","usgsCitation":"Fournier, R., and Magoulick, D.D., 2022, Drought and nutrient pollution produce multiple interactive effects in stream ecosystems: PLoS ONE, v. 17, no. 7, e0269222, 16 p., https://doi.org/10.1371/journal.pone.0269222.","productDescription":"e0269222, 16 p.","ipdsId":"IP-111266","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":447113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0269222","text":"Publisher Index Page"},{"id":433446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Fournier, R.J.","contributorId":341731,"corporation":false,"usgs":false,"family":"Fournier","given":"R.J.","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908838,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70232960,"text":"70232960 - 2022 - Subaerial volcaniclastic deposits — Influences of initiation mechanisms and transport behaviour on characteristics and distributions","interactions":[],"lastModifiedDate":"2022-07-14T13:39:00.417801","indexId":"70232960","displayToPublicDate":"2022-07-14T08:29:28","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":11125,"text":"Special Papers of the Geological Society of London","active":true,"publicationSubtype":{"id":24}},"title":"Subaerial volcaniclastic deposits — Influences of initiation mechanisms and transport behaviour on characteristics and distributions","docAbstract":"Subaerial volcaniclastic deposits are produced principally by volcanic debris avalanches, pyroclastic density currents, lahars, and tephra falls. Those deposits have widely ranging geomorphic and sedimentologic characteristics; they can mantle, modify, or create new topography, and their emplacement and subsequent reworking can have an outsized impact on the geomorphic and sedimentologic responses of watersheds surrounding, and channels draining, volcanoes. Volcaniclastic deposits provide a wealth of information about eruptive histories, volcanic processes, and landscape responses to eruptions. The volcanic processes that produce these deposits, and consequently the character and sedimentary structures of the deposits themselves, are influenced by initiation mechanism. Deposit preservation is affected by deposit magnitude, texture, and composition, depositional environment, and climate regime. Innovative analyses of deposits from several modern eruptions and advancements in physical and numerical modelling have vastly improved our understanding of volcanic processes, interpretations of eruptive histories, and recognition of the hazards posed by volcanic eruptions. This contribution highlights and summarizes major advances that have occurred in the past few\ndecades in understanding of volcaniclastic deposits and linkages with volcanic processes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Volcanic processes in the sedimentary record: When volcanoes meet the environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/SP520-2021-142","usgsCitation":"Major, J.J., 2022, Subaerial volcaniclastic deposits — Influences of initiation mechanisms and transport behaviour on characteristics and distributions, chap. of Volcanic processes in the sedimentary record: When volcanoes meet the environment: Special Papers of the Geological Society of London, v. 520, 72 p., https://doi.org/10.1144/SP520-2021-142.","productDescription":"72 p.","ipdsId":"IP-138407","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":447118,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/sp520-2021-142","text":"Publisher Index Page"},{"id":403724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"520","noUsgsAuthors":false,"publicationDate":"2022-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":846570,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70232972,"text":"70232972 - 2022 - Gill-net selectivity for fifteen fish species of the upper San Francisco Estuary","interactions":[],"lastModifiedDate":"2022-07-14T13:27:46.712019","indexId":"70232972","displayToPublicDate":"2022-07-14T08:19:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Gill-net selectivity for fifteen fish species of the upper San Francisco Estuary","docAbstract":"Gill-net size selectivity for 15 fish species occurring in the upper San Francisco Estuary was estimated from a data set compiled from multiple studies which together contained 7,096 individual fish observations from 882 gill net sets. The gill nets considered in this study closely resembled the American Fisheries Society’s recommended standardized experimental gill nets for sampling inland waters. Relationships between gill-net mesh sizes and the sizes for each fish species retained in them were estimated indirectly using generalized linear modeling and maximum likelihood. Selectivity curves are provided for each species to inform researchers about population characteristics of fishes sampled with similar gill nets.","language":"English","publisher":"University of California","doi":"10.15447/sfews.2022v20iss2art4","usgsCitation":"Wulff, M.L., Feyrer, F.V., and Young, M.J., 2022, Gill-net selectivity for fifteen fish species of the upper San Francisco Estuary: San Francisco Estuary and Watershed Science, v. 20, no. 2, 4, 10 p., https://doi.org/10.15447/sfews.2022v20iss2art4.","productDescription":"4, 10 p.","ipdsId":"IP-101973","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":447121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2022v20iss2art4","text":"Publisher Index Page"},{"id":403721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Napa River, Petaluma River, San Francisco Estuary, San Pablo Bay, Suisun Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.14187622070311,\n 38.052416771864834\n ],\n [\n -122.17758178710939,\n 38.07620357665235\n ],\n [\n -122.21603393554688,\n 38.08052761936274\n ],\n [\n -122.25036621093749,\n 38.11619121500379\n ],\n [\n -122.25723266601562,\n 38.156156969924915\n ],\n [\n -122.26684570312499,\n 38.19286295796692\n ],\n [\n -122.26409912109375,\n 38.285624966683756\n ],\n [\n -122.2723388671875,\n 38.34704152882893\n ],\n [\n -122.61291503906249,\n 38.24788726821097\n ],\n [\n -122.6348876953125,\n 38.23278669950994\n ],\n [\n -122.57858276367186,\n 38.17235306715556\n ],\n [\n -122.53463745117186,\n 38.13779704369437\n ],\n [\n -122.49618530273438,\n 38.09674050228651\n ],\n [\n -122.49893188476561,\n 38.06647354576796\n ],\n [\n -122.29980468749999,\n 38.002655740556705\n ],\n [\n -122.24624633789062,\n 38.0513353697269\n ],\n [\n -122.19955444335938,\n 38.04160203158016\n ],\n [\n -122.18032836914062,\n 38.025376925938865\n ],\n [\n -122.15011596679688,\n 38.01239425385966\n ],\n [\n -122.11303710937499,\n 38.025376925938865\n ],\n [\n -122.07733154296875,\n 38.039438891821746\n ],\n [\n -122.00729370117188,\n 38.048091067457236\n ],\n [\n -121.81365966796874,\n 38.01239425385966\n ],\n [\n -121.84936523437499,\n 38.08701320402273\n ],\n [\n -121.91253662109376,\n 38.059986139487975\n ],\n [\n -121.90017700195312,\n 38.07512252602562\n ],\n [\n -121.92214965820311,\n 38.098901948321256\n ],\n [\n -121.97021484374999,\n 38.08701320402273\n ],\n [\n -122.00180053710936,\n 38.095659755295614\n ],\n [\n -121.97708129882812,\n 38.11727165830543\n ],\n [\n -121.9976806640625,\n 38.15075747130226\n ],\n [\n -122.07595825195312,\n 38.13779704369437\n ],\n [\n -122.0745849609375,\n 38.11078875872392\n ],\n [\n -122.14187622070311,\n 38.052416771864834\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Wulff, Marissa L. 0000-0003-0121-9066","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":229534,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846591,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70234409,"text":"70234409 - 2022 - Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security","interactions":[],"lastModifiedDate":"2022-08-11T14:23:16.553989","indexId":"70234409","displayToPublicDate":"2022-07-13T08:15:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8118,"text":"GIScience & Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security","docAbstract":"

Cropland products are of great importance in water and food security assessments, especially in South Asia, which is home to nearly 2 billion people and 230 million hectares of net cropland area. In South Asia, croplands account for about 90% of all human water use. Cropland extent, cropping intensity, crop watering methods, and crop types are important factors that have a bearing on the quantity, quality, and location of production. Currently, cropland products are produced using mainly coarse-resolution (250–1000 m) remote sensing data. As multiple cropland products are needed to address food and water security challenges, our study was aimed at producing three distinct products that would be useful overall in South Asia. The first of these, Product 1, was meant to assess irrigated versus rainfed croplands in South Asia using Landsat 30 m data on the Google Earth Engine (GEE) platform. The second, Product 2, was tailored for major crop types using Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m data. The third, Product 3, was designed for cropping intensity (single, double, and triple cropping) using MODIS 250 m data. For the kharif season (the main cropping season in South Asia, Jun–Oct), 10 major crops (5 irrigated crops: rice, soybean, maize, sugarcane, cotton; and 5 rainfed crops: pulses, rice, sorghum, millet, groundnut) were mapped. For the rabi season (post-rainy season, Nov–Feb), five major crops (three irrigated crops: rice, wheat, maize; and two rainfed crops: chickpea, pulses) were mapped. The irrigated versus rainfed 30 m product showed an overall accuracy of 79.8% with the irrigated cropland class providing a producer’s accuracy of 79% and the rainfed cropland class 74%. The overall accuracy demonstrated by the cropping intensity product was 85.3% with the producer’s accuracies of 88%, 85%, and 67% for single, double, and triple cropping, respectively. Crop types were mapped to accuracy levels ranging from 72% to 97%. A comparison of the crop-type area statistics with national statistics explained 63–98% variability. The study produced multiple-cropland products that are crucial for food and water security assessments, modeling, mapping, and monitoring using multiple-satellite sensor big-data, and Random Forest (RF) machine learning algorithms by coding, processing, and computing on the GEE cloud.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15481603.2022.2088651","usgsCitation":"Gumma, M., Thenkabail, P., Panjala, P., Teluguntla, P., Yamano, T., and Mohammad, I., 2022, Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security: GIScience & Remote Sensing, v. 59, no. 1, p. 1048-1077, https://doi.org/10.1080/15481603.2022.2088651.","productDescription":"30 p.","startPage":"1048","endPage":"1077","ipdsId":"IP-135578","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":447129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15481603.2022.2088651","text":"Publisher Index Page"},{"id":405098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bangladesh, Bhutan, India, Nepal, Pakistan, Sri Lanka","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[77.83745,35.49401],[78.91227,34.32194],[78.81109,33.5062],[79.20889,32.99439],[79.17613,32.48378],[78.45845,32.61816],[78.73889,31.51591],[79.72137,30.88271],[81.11126,30.18348],[81.5258,30.42272],[82.32751,30.11527],[83.33712,29.46373],[83.89899,29.32023],[84.23458,28.83989],[85.01164,28.64277],[85.82332,28.20358],[86.95452,27.97426],[88.12044,27.87654],[88.73033,28.08686],[88.81425,27.29932],[89.47581,28.04276],[90.01583,28.29644],[90.73051,28.06495],[91.25885,28.04061],[91.69666,27.77174],[92.50312,27.89688],[93.41335,28.64063],[94.56599,29.27744],[95.4048,29.03172],[96.11768,29.4528],[96.58659,28.83098],[96.24883,28.41103],[97.32711,28.26158],[97.40256,27.88254],[97.05199,27.69906],[97.134,27.08377],[96.41937,27.26459],[95.12477,26.57357],[95.15515,26.00131],[94.60325,25.1625],[94.55266,24.67524],[94.10674,23.85074],[93.32519,24.07856],[93.28633,23.04366],[93.06029,22.70311],[93.16613,22.27846],[92.67272,22.04124],[92.65226,21.32405],[92.30323,21.47549],[92.36855,20.67088],[92.08289,21.1922],[92.02522,21.70157],[91.83489,22.18294],[91.41709,22.76502],[90.49601,22.80502],[90.58696,22.39279],[90.27297,21.83637],[89.84747,22.03915],[89.70205,21.85712],[89.41886,21.96618],[89.03196,22.05571],[88.88877,21.69059],[88.2085,21.70317],[86.9757,21.49556],[87.03317,20.74331],[86.49935,20.15164],[85.06027,19.47858],[83.94101,18.30201],[83.18922,17.67122],[82.19279,17.01664],[82.19124,16.55666],[81.69272,16.31022],[80.792,15.95197],[80.3249,15.89918],[80.02507,15.13641],[80.23327,13.83577],[80.28629,13.00626],[79.86255,12.05622],[79.858,10.35728],[79.34051,10.30885],[78.88535,9.54614],[79.18972,9.21654],[78.27794,8.93305],[77.94117,8.25296],[77.5399,7.96553],[76.59298,8.89928],[76.13006,10.29963],[75.74647,11.30825],[75.3961,11.78125],[74.86482,12.74194],[74.61672,13.99258],[74.44386,14.61722],[73.5342,15.99065],[73.11991,17.92857],[72.82091,19.20823],[72.82448,20.4195],[72.63053,21.35601],[71.17527,20.75744],[70.47046,20.87733],[69.16413,22.0893],[69.64493,22.45077],[69.3496,22.84318],[68.17665,23.69197],[67.44367,23.94484],[67.14544,24.66361],[66.37283,25.42514],[64.53041,25.23704],[62.9057,25.21841],[61.49736,25.07824],[61.87419,26.23997],[63.31663,26.75653],[63.2339,27.21705],[62.75543,27.37892],[62.72783,28.25964],[61.77187,28.69933],[61.36931,29.30328],[60.87425,29.82924],[62.54986,29.31857],[63.55026,29.46833],[64.148,29.34082],[64.35042,29.56003],[65.04686,29.47218],[66.34647,29.88794],[66.38146,30.7389],[66.93889,31.30491],[67.68339,31.30315],[67.79269,31.58293],[68.55693,31.71331],[68.92668,31.62019],[69.31776,31.90141],[69.26252,32.50194],[69.68715,33.1055],[70.32359,33.35853],[69.93054,34.02012],[70.8818,33.98886],[71.15677,34.34891],[71.11502,34.73313],[71.61308,35.1532],[71.49877,35.65056],[71.26235,36.07439],[71.84629,36.50994],[72.92002,36.72001],[74.06755,36.83618],[74.57589,37.02084],[75.15803,37.13303],[75.8969,36.66681],[76.19285,35.8984],[77.83745,35.49401]]],[[[81.78796,7.52306],[81.63732,6.48178],[81.21802,6.19714],[80.34836,5.96837],[79.87247,6.76346],[79.69517,8.20084],[80.1478,9.82408],[80.83882,9.26843],[81.30432,8.56421],[81.78796,7.52306]]]]},\"properties\":{\"name\":\"India\"}}]}","volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Gumma, Murali Krishna","contributorId":294754,"corporation":false,"usgs":false,"family":"Gumma","given":"Murali Krishna","affiliations":[{"id":39044,"text":"The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)","active":true,"usgs":false}],"preferred":false,"id":848825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":848826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Panjala, Pranay","contributorId":294756,"corporation":false,"usgs":false,"family":"Panjala","given":"Pranay","email":"","affiliations":[{"id":39044,"text":"The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)","active":true,"usgs":false}],"preferred":false,"id":848827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teluguntla, Pardhasaradhi","contributorId":294758,"corporation":false,"usgs":false,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":63639,"text":"Bay Area Environmental Research Institute (BAERI) @ USGS","active":true,"usgs":false}],"preferred":false,"id":848828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yamano, Takashi","contributorId":294759,"corporation":false,"usgs":false,"family":"Yamano","given":"Takashi","email":"","affiliations":[{"id":63641,"text":"Asian Development Bank (ADB)","active":true,"usgs":false}],"preferred":false,"id":848829,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mohammad, Ismail","contributorId":294760,"corporation":false,"usgs":false,"family":"Mohammad","given":"Ismail","email":"","affiliations":[{"id":7069,"text":"International Crops Research Institute for the Semi Arid Tropics (ICRISAT)","active":true,"usgs":false}],"preferred":false,"id":848830,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70233233,"text":"70233233 - 2022 - Martian gully activity and the gully sediment transport system","interactions":[],"lastModifiedDate":"2022-07-19T12:01:29.241941","indexId":"70233233","displayToPublicDate":"2022-07-13T06:55:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Martian gully activity and the gully sediment transport system","docAbstract":"

The formation process for Martian gullies is a critical unknown for understanding recent climate conditions. Leading hypotheses include formation by snowmelt in a past climate, or formation via currently active CO2 frost processes. This paper presents an expanded catalog of >300 recent flows in gullies. The results indicate that sediment transport in current gully flows moves the full range of materials needed for gully formation. New flows are more likely to transport boulders in gullies that have pre-existing boulder-covered aprons, indicating that current flows are transporting the same materials required for gully formation overall. The distribution of gully activity frequencies can be described by a power law and indicates that the recurrence intervals for flows in individual gullies are commonly tens to hundreds of Mars years. Over the last ~300 kyr, climate variations have been modest but individual gullies have had tens to thousands of flow events. This could be sufficient to account for the entirety of gully formation in some cases, although the same processes are likely to have occurred further in the past. For any gullies that may have initiated under higher-obliquity conditions, this level of recent activity indicates that the observable morphology has been shaped by CO2-driven flows. These observations of sediment transport and the tempo of gully activity are consistent with gully formation entirely by CO2 frost processes, likely with spatial and temporal variability, but with no role required for liquid water.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2022.115133","usgsCitation":"Dundas, C., Conway, S.J., and Cushing, G.E., 2022, Martian gully activity and the gully sediment transport system: Icarus, v. 386, 115133, 14 p., https://doi.org/10.1016/j.icarus.2022.115133.","productDescription":"115133, 14 p.","ipdsId":"IP-137503","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":447131,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2022.115133","text":"Publisher Index Page"},{"id":435774,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IXL0XT","text":"USGS data release","linkHelpText":"Gully Monitoring Sites and New Flows on Mars Observed in HiRISE Data"},{"id":403998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"386","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":846862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Susan J.","contributorId":203697,"corporation":false,"usgs":false,"family":"Conway","given":"Susan","email":"","middleInitial":"J.","affiliations":[{"id":36693,"text":"University of Nantes","active":true,"usgs":false}],"preferred":false,"id":846863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cushing, Glen E. 0000-0002-9673-8207 gcushing@usgs.gov","orcid":"https://orcid.org/0000-0002-9673-8207","contributorId":175449,"corporation":false,"usgs":true,"family":"Cushing","given":"Glen","email":"gcushing@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":846864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236982,"text":"70236982 - 2022 - Can we accurately estimate sediment budgets on Mars?","interactions":[],"lastModifiedDate":"2022-09-26T22:08:52.426374","indexId":"70236982","displayToPublicDate":"2022-07-12T17:03:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Can we accurately estimate sediment budgets on Mars?","docAbstract":"

Sediment budgets are fundamentally important for planetary science. However, only one primary method, based on remote sensing, is currently available for determining extraterrestrial sediment budgets. For determining sediment budgets on Earth, both in-situ and remote sensing methods are available. Despite the widespread use of the two methods, there has been surprisingly little research on how well the sediment budgets produced by these two approaches reconcile with one another, which highlights the lack of quantitative understanding of errors for sediment budgets measured with remote sensing in planetary research. Therefore, there is a general need to expand our knowledge of sediment budgets. Here we use a background review and analog case study of an aeolian dunefield in Grand Canyon, Earth to frame a path forward for addressing shortcomings of remote sensing sediment budgets on Mars. We estimate a 53% percent difference in the sediment budget determined with remote sensing relative to in-situ methods for a simple endmember scenario of a dunefield within a unimodal wind directional regime and no external sediment supply. However, when we incorporated key sources of uncertainty in remote sensing change detection following methods commonly used by geomorphologists on Earth, the estimates of sediment budget differences relative to the in-situ method spanned a much larger range, from 3% to 138%. Our case study also suggests that sediment budget errors could be much larger under more complex wind direction, sediment supply, and physiographic settings, and that variability in those landscape characteristics might be used to better estimate errors for dunefield sediment budgets. We conclude that by comparing sediment budgets derived from in-situ measurements of sediment fluxes and from remote sensing measurements at many more analog sites on Earth, the aeolian research community, and the geomorphology discipline, could gain an understanding of the errors of the remote sensing method, which is used by investigators on other planetary bodies such as Mars. This could improve the ability to quantify sediment budgets on Mars – and, in the future, other planetary environments where high-resolution topographic data are available – as well as directly improve our ability to interpret extraterrestrial landscape evolution related to climate, weather, and geologic history.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2022.117682","usgsCitation":"Sankey, J., Kasprak, A., Chojnacki, M., Titus, T.N., Caster, J., and DeBenedetto, G., 2022, Can we accurately estimate sediment budgets on Mars?: Earth and Planetary Science Letters, v. 593, 117682, 11 p., https://doi.org/10.1016/j.epsl.2022.117682.","productDescription":"117682, 11 p.","ipdsId":"IP-137953","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":447133,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2022.117682","text":"Publisher Index Page"},{"id":435775,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P971IOAI","text":"USGS data release","linkHelpText":"Sediment budget data for Lees Ferry dune field, February-May 2019"},{"id":407376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"593","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":852908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":245742,"corporation":false,"usgs":false,"family":"Kasprak","given":"Alan","affiliations":[{"id":49307,"text":"Current: Utah State University. Former: Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, U.S. Geological Survey, Flagstaff, AZ 86001, USA","active":true,"usgs":false}],"preferred":false,"id":852909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chojnacki, Matthew 0000-0001-8497-8994","orcid":"https://orcid.org/0000-0001-8497-8994","contributorId":296931,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","email":"","affiliations":[{"id":64240,"text":"Planetary Science Institute, Lakewood, CO, USA","active":true,"usgs":false}],"preferred":false,"id":852910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":852911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":852912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeBenedetto, Geoffrey 0000-0003-0696-4567 gdebened@usgs.gov","orcid":"https://orcid.org/0000-0003-0696-4567","contributorId":220988,"corporation":false,"usgs":true,"family":"DeBenedetto","given":"Geoffrey","email":"gdebened@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852913,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232445,"text":"ofr20211125 - 2022 - Characterization of the bathymetry, hydrodynamics, water quality, infrastructure, and channel condition of the Old Erie Canal from DeWitt to its junction with the current Erie Canal in Verona, near Rome, New York, 2018–19","interactions":[],"lastModifiedDate":"2026-03-25T17:54:53.444918","indexId":"ofr20211125","displayToPublicDate":"2022-07-12T12:35:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1125","displayTitle":"Characterization of the Bathymetry, Hydrodynamics, Water Quality, Infrastructure, and Channel Condition of the Old Erie Canal from DeWitt to its Junction with the Current Erie Canal in Verona, near Rome, New York, 2018–19","title":"Characterization of the bathymetry, hydrodynamics, water quality, infrastructure, and channel condition of the Old Erie Canal from DeWitt to its junction with the current Erie Canal in Verona, near Rome, New York, 2018–19","docAbstract":"

The Old Erie Canal has undergone sedimentation and aquatic growth that have restricted flow and diminished the aesthetic quality of the canal during the nearly 200 years since its construction. During 2018–2019, the U.S. Geological Survey (USGS) in cooperation with the Madison County Planning Department and the New York State Canal Corporation conducted a study of the Old Erie Canal between the Town of DeWitt, New York, and its junction with the current Erie Canal of the New York State Canal System near Rome, N.Y. The study comprised bathymetric, velocity, and water-quality surveys and documentation of the canal infrastructure. The USGS established benchmarks and staff gages along the 30.8 miles of the canal study area to reference the water-surface level in the canal to the North American Vertical Datum of 1988 (NAVD 88). Bathymetric survey results indicated that during the time of the survey, the canal depths ranged from 1.26 feet (ft) to 7.33 ft between the Butternut and Durhamville aqueducts (with a mean depth of 3.52 ft). Shallow depths are located throughout the canal, but the section north of the Durhamville aqueduct was the shallowest, with depths ranging from 0.68 ft to 2.44 ft (and a mean depth of 1.36 ft). The reach-averaged water velocity was 0.28 feet per second. The system generally flows west to east from the Butternut aqueduct to the entrance to the Erie Canal.

Water-quality data (dissolved oxygen, water temperature, specific conductance, pH, and turbidity) were collected concurrently with the bathymetric survey (spring 2018) to characterize changes in water quality along the length of the canal. Specific-conductance values measured upstream from the hamlet of Kirkville, Manlius, N.Y. may reflect road salts being flushed into the canal through the Butternut and Limestone feeder system (designed to divert water from nearby creeks to supply water for the Old Erie Canal) from recent stormwater runoff. Increases in pH in the downstream direction are possibly caused by increasing amounts of aquatic vegetation. During the time of the survey, turbidity was highest near inflows from the canal feeder system and tributary inputs which were elevated by stormwater runoff that transported sediment into the canal.

The canal infrastructure was documented to provide a baseline assessment. The feeder system, designed to bring water into the canal, does not deliver flow when the creeks supplying water to those feeders are at base flow, but does bring water into the system when flows in the feeder creeks are elevated. A recent report provides an example of repair work completed on the Chittenango feeder to improve flow through the feeder into the canal (Welch and Madison County Planning Department, 1996). Two non-regulated tributaries, Meadow Brook and Pools Brook, consistently delivered flow to the canal. Outfalls where canal water discharges into nearby creeks were sealed in the Butternut and Limestone aqueducts. Outfalls in the Chittenango, Cowaselon, and Durhamville aqueducts were found with flashboards installed at an elevation that allows water to be discharged from the canal. These structures are designed to accept additional flashboards to raise the canal water surface with the potential to convey flow farther down the system. The general condition of the channel was open and navigable between Butternut aqueduct and Chittenago aqueduct. On the segment of the canal east of the Chittenango aqueduct, an increasing number of downed trees and tangled wads of vegetation affected flow and made navigation by boat difficult to the Durhamville aqueduct. North of the Durhamville aqueduct, numerous downed trees and an increased density of aquatic vegetation limited navigation by boat and reduced the flow rate.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211125","usgsCitation":"Wernly, J.F., 2022, Characterization of the bathymetry, hydrodynamics, water quality, infrastructure, and channel condition of the Old Erie Canal from DeWitt to its junction with the current Erie Canal in Verona, near Rome, New York, 2018–19: U.S. Geological Survey Open-File Report 2021–1125, 75 p., https://doi.org/10.3133/ofr20211125.","productDescription":"Report: viii, 75 p.; Data Release","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-118164","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":402850,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1125/ofr20211125.XML"},{"id":402848,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1125/ofr20211125.pdf","text":"Report","size":"94.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1125"},{"id":402847,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1125/coverthb.jpg"},{"id":402849,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QRL294","text":"USGS data release","linkHelpText":"Geospatial dataset of the characterization of the bathymetry, hydrodynamics, water quality, infrastructure, and channel condition of the Old Erie Canal from DeWitt to Rome, New York 2018–2019"},{"id":402851,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1125/images/"},{"id":403542,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20211125/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2021-1125"},{"id":501536,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113265.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Old Erie Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.13250732421875,\n 42.974511174899156\n ],\n [\n -76.11328125,\n 42.968984647488014\n ],\n [\n -75.9375,\n 42.96044267380142\n ],\n [\n -75.74798583984375,\n 42.96446257387128\n ],\n [\n -75.57769775390625,\n 43.002638523957906\n ],\n [\n -75.41839599609375,\n 43.1270477646888\n ],\n [\n -75.35522460937499,\n 43.207177786666655\n ],\n [\n -75.42388916015625,\n 43.271206115959785\n ],\n [\n -75.52001953125,\n 43.25920592943639\n ],\n [\n -75.65460205078125,\n 43.23920036180898\n ],\n [\n -75.92926025390625,\n 43.219188223481325\n ],\n [\n -76.09405517578125,\n 43.13105676219153\n ],\n [\n -76.18194580078124,\n 43.07891929985966\n ],\n [\n -76.18743896484375,\n 43.022721607058344\n ],\n [\n -76.13250732421875,\n 42.974511174899156\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

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

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-07-12","noUsgsAuthors":false,"publicationDate":"2022-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wernly, John F. 0000-0001-9445-1205 jwernly@usgs.gov","orcid":"https://orcid.org/0000-0001-9445-1205","contributorId":196606,"corporation":false,"usgs":true,"family":"Wernly","given":"John","email":"jwernly@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845563,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70251319,"text":"70251319 - 2022 - Virtual special issue of recent advances on gas hydrates scientific drilling in Alaska","interactions":[],"lastModifiedDate":"2024-02-03T14:21:43.534432","indexId":"70251319","displayToPublicDate":"2022-07-12T08:19:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17150,"text":"Journal of Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Virtual special issue of recent advances on gas hydrates scientific drilling in Alaska","docAbstract":"
Gas hydrate refers to a non-stoichiometric clathrate that forms spontaneously in the natural environment whenever sufficient quantities of gases of appropriate size (most commonly methane) interact with abundant water under specific conditions of temperature and pressure. (1,2) Such conditions occur wherever the shallow geothermal gradient has been suppressed by either deepwater or thick permafrost, allowing for relatively low temperatures to coexist with elevated pressures. The volume of gas hydrate on Earth is difficult to constrain, (3) but it is sufficient that gas hydrate is a meaningful potential component of (1) the long-term natural cycling of carbon, (2) the nearer term environmental changes in response to warming climates, (4) and (3) future energy supply systems. Since the initial recognition of gas hydrate as an abundant component in nature in the late 1960s, a series of scientific drilling expeditions conducted by both the Integrated Ocean Discovery Program (and successors) and national research and development programs in Canada, Japan, China, the United States, South Korea, and others (5) have explored the occurrence and nature of gas hydrates. In particular, the desire for expanded energy supply options to support the economic development and energy security for nations around the globe is currently motivating a broad range of laboratory and numerical simulation studies in support of an ongoing series of field-based scientific tests of the potential commercial viability of gas extraction from natural gas hydrate deposits. (6)
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.2c02106","usgsCitation":"Boswell, R., Yamamoto, K., Collett, T.S., and Okinaka, N., 2022, Virtual special issue of recent advances on gas hydrates scientific drilling in Alaska: Journal of Energy & Fuels, v. 36, no. 15, p. 7921-7924, https://doi.org/10.1021/acs.energyfuels.2c02106.","productDescription":"4 p.","startPage":"7921","endPage":"7924","ipdsId":"IP-137936","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":447143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.energyfuels.2c02106","text":"Publisher Index Page"},{"id":425359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"15","noUsgsAuthors":false,"publicationDate":"2022-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Boswell, Ray","contributorId":195143,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":894041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yamamoto, Koji","contributorId":224748,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Koji","affiliations":[{"id":40932,"text":"Japan Oil, Gas, and Metals National Corporation, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":894042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Okinaka, Norihiro","contributorId":240094,"corporation":false,"usgs":false,"family":"Okinaka","given":"Norihiro","affiliations":[{"id":17917,"text":"Japan Oil, Gas and Metals National Corporation","active":true,"usgs":false}],"preferred":false,"id":894044,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70232886,"text":"70232886 - 2022 - Effects of return flows on stream water quality and availability in the Upper Colorado, Delaware, and Illinois River Basins","interactions":[],"lastModifiedDate":"2022-07-13T12:30:07.417613","indexId":"70232886","displayToPublicDate":"2022-07-11T07:21:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11111,"text":"PLOS Water","active":true,"publicationSubtype":{"id":10}},"title":"Effects of return flows on stream water quality and availability in the Upper Colorado, Delaware, and Illinois River Basins","docAbstract":"

Understanding effects of human water use and subsequent return flows on the availability and suitability of water for downstream uses is critical to efficient and effective watershed management. We compared spatially detailed estimates of stream chemistry within three watersheds in diverse settings to available standards to isolate effects of wastewater and irrigation return flows on the suitability of downstream waters for maintaining healthy aquatic ecosystems and for selected human uses. Mean-annual flow-weighted total and source-specific concentrations of nitrogen and phosphorus in individual stream reaches within the Upper Colorado, Delaware, and Illinois River Basins and of total dissolved solids within stream reaches of the Upper Colorado River Basin were estimated from previously calibrated regional watershed models. Estimated concentrations of both nitrogen and phosphorus in most stream reaches in all three watersheds (at least 78%, by length) exceed recommended standards for the protection of aquatic ecosystems, although concentrations in relatively few streams exceed such standards due to contributions from wastewater return flows, alone. Consequently, efforts to reduce wastewater nutrient effluent may provide important local downstream benefits but would likely have minimal impact on regional ecological conditions. Similarly, estimated mean-annual flow-weighted total dissolved solids concentrations in the Upper Colorado River Basin exceed standards for agricultural water use and (or) the secondary maximum contaminant level (SMCL) for drinking water in 52% of streams (by length), but rarely due to effects of irrigation return flows, alone. Dissolved solids in most tributaries of the Upper Colorado River are attributable primarily to natural sources.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pwat.0000030","usgsCitation":"Ator, S., Miller, O.L., and Saad, D., 2022, Effects of return flows on stream water quality and availability in the Upper Colorado, Delaware, and Illinois River Basins: PLOS Water, v. 7, no. 1, 24 p., https://doi.org/10.1371/journal.pwat.0000030.","productDescription":"24 p.","additionalOnlineFiles":"N","ipdsId":"IP-136080","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":447159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pwat.0000030","text":"Publisher Index Page"},{"id":403592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado, Delaware, and Illinois River Basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.9619140625,\n 41.11246878918088\n ],\n [\n -112.6318359375,\n 39.30029918615029\n ],\n [\n -112.67578124999999,\n 37.996162679728116\n ],\n [\n -112.3681640625,\n 36.63316209558658\n ],\n [\n -111.884765625,\n 35.60371874069731\n ],\n [\n -110.390625,\n 34.63320791137959\n ],\n [\n -108.984375,\n 34.52466147177172\n ],\n [\n -107.1826171875,\n 35.71083783530009\n ],\n [\n -107.40234375,\n 38.30718056188316\n ],\n [\n -107.7978515625,\n 38.89103282648846\n ],\n [\n -108.3251953125,\n 41.21172151054787\n ],\n [\n -109.51171875,\n 43.068887774169625\n ],\n [\n -110.478515625,\n 42.58544425738491\n ],\n [\n -110.9619140625,\n 41.11246878918088\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.06640625,\n 43.29320031385282\n ],\n [\n -88.4619140625,\n 43.26120612479979\n ],\n [\n -88.59374999999999,\n 42.74701217318067\n ],\n [\n -88.681640625,\n 42.261049162113856\n ],\n [\n -89.384765625,\n 41.60722821271717\n ],\n [\n -90.52734374999999,\n 41.244772343082076\n ],\n [\n -91.40625,\n 40.1452892956766\n ],\n [\n -91.3623046875,\n 39.605688178320804\n ],\n [\n -88.9013671875,\n 39.095962936305476\n ],\n [\n -87.451171875,\n 40.44694705960048\n ],\n [\n -86.7041015625,\n 41.07935114946899\n ],\n [\n -85.69335937499999,\n 41.541477666790286\n ],\n [\n -86.396484375,\n 41.80407814427234\n ],\n [\n -87.14355468749999,\n 41.50857729743935\n ],\n [\n -87.7587890625,\n 42.00032514831621\n ],\n [\n -88.06640625,\n 43.29320031385282\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.53125,\n 39.33429742980725\n ],\n [\n -74.70703125,\n 39.80853604144591\n ],\n [\n -74.3994140625,\n 40.245991504199026\n ],\n [\n -74.267578125,\n 40.78054143186033\n ],\n [\n -73.828125,\n 41.705728515237524\n ],\n [\n -73.95996093749999,\n 42.68243539838623\n ],\n [\n -74.8828125,\n 43.96119063892024\n ],\n [\n -76.11328125,\n 42.5530802889558\n ],\n [\n -76.5087890625,\n 41.541477666790286\n ],\n [\n -76.6845703125,\n 40.78054143186033\n ],\n [\n -76.4208984375,\n 39.87601941962116\n ],\n [\n -75.76171875,\n 38.788345355085625\n ],\n [\n -75.5419921875,\n 38.09998264736481\n ],\n [\n -75.322265625,\n 38.03078569382294\n ],\n [\n -74.53125,\n 39.33429742980725\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ator, Scott 0000-0002-9186-4837","orcid":"https://orcid.org/0000-0002-9186-4837","contributorId":215458,"corporation":false,"usgs":true,"family":"Ator","given":"Scott","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":216556,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saad, David A. 0000-0001-6559-6181","orcid":"https://orcid.org/0000-0001-6559-6181","contributorId":217251,"corporation":false,"usgs":true,"family":"Saad","given":"David A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846422,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70233939,"text":"70233939 - 2022 - Classifying mixing regimes in ponds and shallow lakes","interactions":[],"lastModifiedDate":"2022-07-28T12:12:45.591811","indexId":"70233939","displayToPublicDate":"2022-07-11T07:08:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11438,"text":"Water Resource Research","active":true,"publicationSubtype":{"id":10}},"title":"Classifying mixing regimes in ponds and shallow lakes","docAbstract":"

Lakes are classified by thermal mixing regimes, with shallow waterbodies historically categorized as continuously mixing systems. Yet, recent studies demonstrate extended summertime stratification in ponds, underscoring the need to reassess thermal classifications for shallow waterbodies. In this study, we examined the summertime thermal dynamics of 34 ponds and shallow lakes across temperate North America and Europe to categorize and identify the drivers of different mixing regimes. We identified three mixing regimes: rarely (n = 18), intermittently (n = 10), and often (n = 6) mixed, where waterbodies mixed an average of 2%, 26%, and 75% of the study period, respectively. Waterbodies in the often mixed category were larger (≥4.17 ha) and stratification weakened with increased wind shear stress, characteristic of “shallow lakes.” In contrast, smaller waterbodies, or “ponds,” mixed less frequently, and stratification strengthened with increased shortwave radiation. Shallow ponds (<0.74 m) mixed intermittently, with daytime stratification often breaking down overnight due to convective cooling. Ponds ≥0.74 m deep were rarely or never mixed, likely due to limited wind energy relative to the larger density gradients associated with slightly deeper water columns. Precipitation events weakened stratification, even causing short-term mixing (hours to days) in some sites. By examining a broad set of shallow waterbodies, we show that mixing regimes are highly sensitive to very small differences in size and depth, with potential implications for ecological and biogeochemical processes. Ultimately, we propose a new framework to characterize the variable mixing regimes of ponds and shallow lakes.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR032522","usgsCitation":"Holgerson, M., Richardson, D., Roith, J., Bortolotti, L.E., Finlay, K., Hornbach, D.J., Gurung, K., Ness, A., Andersen, M., Bansal, S., Finlay, J., Cianci-Gaskill, J., Hahn, S., Janke, B., McDonald, C.P., Mesman, J., North, R.L., Roberts, C., Sweetman, J.N., and Webb, J., 2022, Classifying mixing regimes in ponds and shallow lakes: Water Resource Research, v. 58, no. 7, e2022WR032522, 18 p., https://doi.org/10.1029/2022WR032522.","productDescription":"e2022WR032522, 18 p.","ipdsId":"IP-129528","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":447169,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022wr032522","text":"Publisher Index Page"},{"id":404529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Holgerson, Meredith","contributorId":218790,"corporation":false,"usgs":false,"family":"Holgerson","given":"Meredith","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":847713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, David ","contributorId":223903,"corporation":false,"usgs":false,"family":"Richardson","given":"David ","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":847714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roith, Joseph","contributorId":293919,"corporation":false,"usgs":false,"family":"Roith","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":847750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bortolotti, Lauren E","contributorId":265772,"corporation":false,"usgs":false,"family":"Bortolotti","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":847715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finlay, Kerri","contributorId":289777,"corporation":false,"usgs":false,"family":"Finlay","given":"Kerri","email":"","affiliations":[{"id":27547,"text":"University of Regina","active":true,"usgs":false}],"preferred":false,"id":847716,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hornbach, Daniel J.","contributorId":220617,"corporation":false,"usgs":false,"family":"Hornbach","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":37385,"text":"Macalester College","active":true,"usgs":false}],"preferred":false,"id":847717,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gurung, Kshitij","contributorId":293889,"corporation":false,"usgs":false,"family":"Gurung","given":"Kshitij","email":"","affiliations":[],"preferred":false,"id":847718,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ness, Andrew","contributorId":293890,"corporation":false,"usgs":false,"family":"Ness","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":847719,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Andersen, Mikkel R.","contributorId":223161,"corporation":false,"usgs":false,"family":"Andersen","given":"Mikkel R.","affiliations":[],"preferred":false,"id":847720,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":847721,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Finlay, Jacques","contributorId":172286,"corporation":false,"usgs":false,"family":"Finlay","given":"Jacques","affiliations":[],"preferred":false,"id":847722,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cianci-Gaskill, Jacob","contributorId":293893,"corporation":false,"usgs":false,"family":"Cianci-Gaskill","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":847723,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hahn, Shannon","contributorId":293894,"corporation":false,"usgs":false,"family":"Hahn","given":"Shannon","email":"","affiliations":[],"preferred":false,"id":847724,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Janke, Benjamin","contributorId":293895,"corporation":false,"usgs":false,"family":"Janke","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":847725,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"McDonald, Cory P. 0000-0002-1208-8471","orcid":"https://orcid.org/0000-0002-1208-8471","contributorId":261754,"corporation":false,"usgs":false,"family":"McDonald","given":"Cory","email":"","middleInitial":"P.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":847726,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mesman, Jorrit 0000-0002-4319-260X","orcid":"https://orcid.org/0000-0002-4319-260X","contributorId":268212,"corporation":false,"usgs":false,"family":"Mesman","given":"Jorrit","email":"","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":847727,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"North, Rebecca L.","contributorId":194572,"corporation":false,"usgs":false,"family":"North","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":847728,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Roberts, Cassandra","contributorId":293901,"corporation":false,"usgs":false,"family":"Roberts","given":"Cassandra","email":"","affiliations":[],"preferred":false,"id":847729,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Sweetman, Jon N. 0000-0002-9849-7355","orcid":"https://orcid.org/0000-0002-9849-7355","contributorId":221489,"corporation":false,"usgs":false,"family":"Sweetman","given":"Jon","email":"","middleInitial":"N.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":847730,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Webb, Jackie","contributorId":293904,"corporation":false,"usgs":false,"family":"Webb","given":"Jackie","email":"","affiliations":[],"preferred":false,"id":847731,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70256671,"text":"70256671 - 2022 - Failure to achieve recommended environmental flows coincides with declining fish populations: Long-term trends in regulated and unregulated rivers","interactions":[],"lastModifiedDate":"2024-08-07T11:03:47.279183","indexId":"70256671","displayToPublicDate":"2022-07-11T06:00:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Failure to achieve recommended environmental flows coincides with declining fish populations: Long-term trends in regulated and unregulated rivers","docAbstract":"
  1. Dams can be operated to mimic components of the natural flow regime to minimise impacts on downstream ecosystems. However, infrastructure, societal needs, water management, and catchment runoff constrain which and when flow regime attributes can be mimicked.
  2. We compared fish assemblage responses, including native and non-native species, over 2 decades of managed environmental flows to those in a river retaining a relatively unaltered flow regime. Both of these arid-land rivers are within the overallocated Colorado River basin and have experienced declines in catchment runoff over the past 20 years. We predicted that fish–flow relationships would be conserved across time and between managed and unmanaged rivers.
  3. Declines in flow in both rivers coincided with declines in some native fishes, and more native and non-native fish species exhibited declines in the managed river than in the unmanaged river. Our ability to detect previously documented native fish–flow relationships diminished in the managed river system because established environmental flow targets were not met due to water management, but we detected these fish–flow relationships in the unmanaged river.
  4. Our results suggest declining catchment runoff and increased consumptive water use could reduce the effectiveness of environmental flows that have lower priority in most years.
","language":"English","publisher":"Wiley","doi":"10.1111/FWB.13966","usgsCitation":"Pennock, C.A., Bruckerhoff, L.A., Gido, K., Barkalow, A.L., Breen, M.J., Budy, P., Macfarlane, W.W., and Propst, D., 2022, Failure to achieve recommended environmental flows coincides with declining fish populations: Long-term trends in regulated and unregulated rivers: Freshwater Biology, v. 67, no. 9, p. 1631-1643, https://doi.org/10.1111/FWB.13966.","productDescription":"13 p.","startPage":"1631","endPage":"1643","ipdsId":"IP-134441","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Pennock, Casey A.","contributorId":341544,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey","email":"","middleInitial":"A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":908587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruckerhoff, Lindsey Ann 0000-0002-9523-4808","orcid":"https://orcid.org/0000-0002-9523-4808","contributorId":292594,"corporation":false,"usgs":true,"family":"Bruckerhoff","given":"Lindsey","email":"","middleInitial":"Ann","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gido, Keith B.","contributorId":341545,"corporation":false,"usgs":false,"family":"Gido","given":"Keith B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":908589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barkalow, Adam L.","contributorId":341546,"corporation":false,"usgs":false,"family":"Barkalow","given":"Adam","email":"","middleInitial":"L.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":908590,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breen, Matthew J.","contributorId":341547,"corporation":false,"usgs":false,"family":"Breen","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":49122,"text":"Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":908591,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Macfarlane, William W.","contributorId":341548,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":908593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Propst, David L.","contributorId":341549,"corporation":false,"usgs":false,"family":"Propst","given":"David L.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":908594,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70236921,"text":"70236921 - 2022 - Exposure and effects of bioaccumulative contaminants of emerging concern in tree swallows nesting across the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2022-09-22T15:23:23.532962","indexId":"70236921","displayToPublicDate":"2022-07-09T10:14:39","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Exposure and effects of bioaccumulative contaminants of emerging concern in tree swallows nesting across the Laurentian Great Lakes","docAbstract":"

Contaminants of emerging concern (CECs) are a loosely defined group of chemicals whose wide-spread usage or presence in the environment has occurred more recently or for which there has been relatively little research done until recently. Many of these CECs are not currently regulated. The National Toxicology Program within the U.S. Department of Health and Human Services estimates that about 2000 CECs are introduced each year (https://ntp.niehs.nih.gov/about/). An unknown number may pose a risk to human or animal health. The Phase 1 (2010 – 2014) CEC work in birds, which is the subject of this report, assessed exposure across the Great Lakes to polybrominated diphenyl ethers (PBDEs), perfluorinated compounds (PFASs), and polycyclic aromatic hydrocarbons (PAHs), and put those exposures into context with data from biologically relevant endpoints such as reproductive success, as well as, physiological response indicators (bioindicators) to assess possible effects. The group of chemicals included in Phase 1 were mainly those chemicals that bioaccumulate in tissues. Phase 2 (2015 – 2019) CEC work with tree swallows was expanded to include CECs whose occurrence in the environment is more temporary or seasonal, and that do not necessarily bioaccumulate. These are often called pseudo-persistent, because, while they are not long-lived in the environment, there are often daily inputs via waste water treatment plants, and run-off from farm fields and storm drainages, thereby making them available to biota year-round. These include pharmaceuticals, personal care products, and newer pesticides including herbicides. Tree swallow work on these less persistent CECs will be reported in the future, however see other Appendices in this report for information on some of these types of CECs (Appendices A, B, D).

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No abstract available.

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the health and integrity of wildlife populations from adverse effects: GLRI action plan I, focus area 1, goal 5","docAbstract":"

Executive Summary: Under Action Plan I (2010-2014) of the Great Lakes Restoration Initiative (GLRI), Federal and Academic partners began an investigation of the presence and distribution of contaminants of emerging concern (CECs) in the Great Lakes and potential impacts on fish and wildlife. The term CECs is applied to a broad range of chemicals that are currently in use but for which we currently lack good understanding of whether fish, wildlife, or humans are being exposed and/or whether negative health or environmental effects are expected if exposure occurs. Pharmaceuticals, personal care products, flame retardants, many current use pesticides, and poly- and perfluorinated chemicals are some well-known groups of CECs, but there is no definitive or comprehensive list that can be used to support the management of CECs to reduce impacts on the Great Lakes ecosystem.

Four overarching goals were identified for this collaborative investigation:

1. Evaluate the sources, occurrence, and distribution of CECs across the Great Lakes Basin.

2. Examine associations between the distribution of CECs and land-use patterns.

3. Review both scientific literature and field-generated data to determine the potential for CECs to cause adverse effects on Great Lakes fish and wildlife populations.

4. Develop efficient strategies to survey and/or monitor for threats that CECs may pose in order to take effective management actions before those threats evolve into large scale impacts on Great Lakes ecosystems or the services they provide.

Achievement of these goals ensures progress towards Focus Area 1: Toxic Substances and Areas of Concern from GLRI Action Plan I, Goal 5: “The health and integrity of wildlife populations and habitat are protected from adverse chemical and biological effects associated with the presence of toxic substances in the Great Lakes Basin”.

This large-scale research effort was comprised of individual and collaborative projects from multiple federal agencies and academic institutions, involving over 85 investigators, and overseen by the U.S. Environmental Protection Agency (EPA) Region 5, Great Lakes National Program Office. Partners include the United States Geological Survey, the National Oceanic and Atmospheric Administration, U.S. Fish and Wildlife Service, Saint Cloud State University, the U.S. EPA Office of Research and Development, and the U.S. Army Corps of Engineers.

Key findings:

1. Contaminants of emerging concern were found throughout the monitored Great Lakes tributaries, but types and concentrations vary in association with regional land use. CECs were detected in nearly all samples collected. The type and concentration of the specific contaminants detected varied considerably among field sites and in association with land use type, such as urban, agricultural, wetland, 2 or forest. Contaminants were detected in the water column, sediment, and tissues of all species surveyed in the current work (mussels, aquatic insects, fish, and insect-eating birds).

2. There were over 20 contaminants for which CEC concentrations approached or exceeded those reported to cause toxicity in laboratory experiments. This was based on detection in water, sediments and or biota at one or more field sites. These contaminants represent compounds that warrant further investigation and monitoring with respect to potential impacts in certain areas of the Great Lakes basin. Based on the present investigation, compounds of greatest concern include: polycyclic aromatic hydrocarbons, associated with oil-based products and combustion of organic matter; atrazine, an herbicide; dichlorvos, an insecticide; and ibuprofen and venlafaxine, both pharmaceuticals.

3. Results suggest that mixtures of CECs presently found in most Great Lakes tributary locations surveyed may elicit subtle biological effects, but likely are not, alone, causing obvious detriment to current communities of fish and wildlife. CECs detected in the Great Lakes were associated with subtle biological effects like changes in gene expression, altered circulating glucose, etc. in both wild-caught and laboratory-reared organisms. These effects were generally not indicative of reproductive failure or mortality. However, the effects may have more serious implications when combined with other sources of stress like habitat degradation, changing climate conditions, and competition with invasive species. Due to limited historical data, it is unknown whether severe CEC-related impacts have already affected aquatic communities in waterbodies that have received long-term inputs of these contaminants. Likewise, under Action Plan I, biological effects were not necessarily evaluated at the sites where CEC concentrations exceeding laboratory toxicity thresholds were detected. As a result, strategic, ongoing surveillance and monitoring of CECs is warranted.

This collaborative investigation resulted in new tools, approaches, and data that can be used to inform and support the management of CECs to reduce their impacts on Great Lakes natural resources. The following products of this research effort are available through https://communities.geoplatform.gov/glri/ or by contacting the investigators (see technical chapters found in Appendices A-F):

1. Database of CEC occurrence and concentrations in US tributary streams. The database includes CEC detections in water, sediment, and fish and wildlife tissues, and represents the most comprehensive survey of CECs in the Great Lakes Region.

2. Synopses of results and key findings. Integrated summaries of results, conclusions, and management implications of the CEC research are available through reports, topical fact sheets, and presentations.

3. Technical publications: This collaborative research effort has resulted in over 50 peer-reviewed publications, agency reports, and data releases that can be of use to resource managers, the scientific community, and members of the public.

4. Innovative tools. Innovative monitoring devices, sampling equipment, conceptual frameworks, and software applications were developed over the course of this 3 research. These tools are transferable to stakeholders via internet accessibility or via specifications, instructions, and demonstration detailed in technical publications.

Hypotheses to guide CECs research under Action Plan II. Findings from 2010-2014 were used to guide further research in 2015-2018 for basin-wide surveillance of CECs and for sites warranting further study of potential biological impacts of CECs. Additional surveillance included both evaluation of additional classes of contaminants and expanded lists for chemical classes shown to be of greatest concern. Mixtures of some of the most frequently detected contaminants were also tested in laboratory studies to understand whether long term exposures to multiple contaminants may result in effects not evident from uncontrolled, short-term field experiments.

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Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":853001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, W. Edward","contributorId":296967,"corporation":false,"usgs":false,"family":"Johnson","given":"W.","email":"","middleInitial":"Edward","affiliations":[],"preferred":false,"id":853002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Stephanie L.","contributorId":296241,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":853003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":853004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perkins, Edward J.","contributorId":89063,"corporation":false,"usgs":false,"family":"Perkins","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":26924,"text":"USArmy Engineer Research and Development Center, Vicksburg, MS","active":true,"usgs":false}],"preferred":false,"id":853005,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zack, Sarah A.","contributorId":296968,"corporation":false,"usgs":false,"family":"Zack","given":"Sarah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":853006,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70254544,"text":"70254544 - 2022 - A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan","interactions":[],"lastModifiedDate":"2024-05-31T14:47:50.401231","indexId":"70254544","displayToPublicDate":"2022-07-08T09:41:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan","docAbstract":"

From the Hindu Kush mountains to the Registan Desert, Afghanistan is a diverse landscape where droughts, floods, conflict, and economic market accessibility pose challenges for agricultural livelihoods and food security. The ability to remotely monitor environmental conditions is critical to support decision making for humanitarian assistance. The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) global and Central Asia data streams provide information on hydrologic states for routine integrated food security analysis. While developed for a specific project, these data are publicly available and useful for other applications that require hydrologic estimates of the water and energy balance. These two data streams are unique because of their suitability for routine monitoring, as well as for being a historical record for computing relative indicators of water availability. The global stream is available at ∼ 1-month latency, and monthly average outputs are on a 10 km grid from 1982–present. The second data stream, Central Asia (21–56∘ N, 30–100∘ E), at ∼ 1 d latency, provides daily average outputs on a 1 km grid from 2000–present. This paper describes the configuration of the two FLDAS data streams, background on the software modeling framework, selected meteorological inputs and parameters, and results from previous evaluation studies. We also provide additional analysis of precipitation and snow cover over Afghanistan. We conclude with an example of how these data are used in integrated food security analysis. For use in new and innovative studies that will improve understanding of this region, these data are hosted by U.S. Geological Survey data portals and the National Aeronautics and Space Administration (NASA). The Central Asia data described in this paper can be accessed via the NASA repository at https://doi.org/10.5067/VQ4CD3Y9YC0R (Jacob and Slinski, 2021), and the global data described in this paper can be accessed via the NASA repository at https://doi.org/10.5067/5NHC22T9375G (McNally, 2018).

","language":"English","publisher":"Copernicus","doi":"10.5194/essd-14-3115-2022","usgsCitation":"McNally, A., Jacob, J., Arsenault, K., Slinski, K., Sarmiento, D., Hoell, A., Pervez, S., Rowland, J., Budde, M., Kumar, S., Peters-Lidard, C., and Verdin, J., 2022, A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan: Earth System Science Data, v. 14, no. 7, p. 3115-3135, https://doi.org/10.5194/essd-14-3115-2022.","productDescription":"21 p.","startPage":"3115","endPage":"3135","ipdsId":"IP-134002","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":447185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-14-3115-2022","text":"Publisher Index 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Kimberly","contributorId":337030,"corporation":false,"usgs":false,"family":"Slinski","given":"Kimberly","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":901824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sarmiento, Daniel","contributorId":337031,"corporation":false,"usgs":false,"family":"Sarmiento","given":"Daniel","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":901825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoell, Andrew","contributorId":337032,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":901826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pervez, Shahriar 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mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":166756,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":901829,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kumar, Sujay","contributorId":337039,"corporation":false,"usgs":false,"family":"Kumar","given":"Sujay","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":901830,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Peters-Lidard, Christa","contributorId":337041,"corporation":false,"usgs":false,"family":"Peters-Lidard","given":"Christa","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":901831,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Verdin, 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The 2012 Little Bear Fire resulted in substantial loss of vegetation in the Eagle Creek Basin, south-central New Mexico, which has been expected to cause a variety of hydrologic responses that could influence geomorphic change to North Fork Eagle Creek. To monitor geomorphic change, surveys of a downstream study reach of North Fork Eagle Creek were conducted in 2017, 2018, and 2019 by the U.S. Geological Survey in cooperation with the Village of Ruidoso, N. Mex. The study included surveys of select cross sections, woody debris accumulations, and pools found in the channel of the study reach. During 2017–19, high-flow events resulting from both monsoonal rainfall and snowmelt runoff occurred in the study reach, and the events appeared to have caused some minor localized geomorphic changes in the study reach, which were evaluated through comparison of the 2017, 2018, and 2019 survey results.

Comparisons of the cross-section survey results indicated that minor geomorphic changes had occurred in 4 of the 14 cross sections surveyed from 2017 to 2019. These geomorphic changes included aggradation or degradation of surface materials by about 1–2 feet in some parts of the affected cross sections. During the 2019 survey, 164 distinct accumulations of woody debris and 228 pools were identified in the study reach. Of the woody debris accumulations identified during the 2019 survey, 67 were certain to have also been present during the 2018 survey, and 21 were certain to have also been present during all three surveys (2017–19), indicating that most of the woody debris accumulations surveyed in 2017 were likely transported during the high-flow events between the 2017 and 2018 surveys. Most woody debris accumulations identified in 2019 did not appear to have substantially influenced geomorphic change in the locations where they were found but may have driven local geomorphic changes.

Because the study began 5 years after the 2012 Little Bear Fire and the geomorphic scope of the study has so far been limited, it cannot be said that the changes observed between the 2017 and 2019 surveys are representative of a pattern of geomorphic change following the Little Bear Fire. Once geomorphic changes identified during the 2017 through 2019 surveys can be compared with results from the remaining planned geomorphic surveys, it may be possible to develop an understanding of the patterns in geomorphic change following the 2012 Little Bear Fire.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221041","collaboration":"Prepared in cooperation with Village of Ruidoso, New Mexico","usgsCitation":"Graziano, A.P., and Chavarria, S.B., 2022, Geomorphic survey of North Fork Eagle Creek, New Mexico, 2019: U.S. Geological Survey Open-File Report 2022–1041, 36 p., https://doi.org/10.3133/ofr20221041.","productDescription":"Report: v, 36 p.; Data Release; Dataset","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-123645","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":403220,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97ALYNZ","text":"USGS data release","linkHelpText":"Data supporting the 2019 geomorphic survey of North Fork Eagle Creek, New Mexico"},{"id":501773,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113257.htm","linkFileType":{"id":5,"text":"html"}},{"id":403221,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":403219,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1041/images"},{"id":403218,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1041/ofr20221041.XML"},{"id":403215,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1041/coverthb.jpg"},{"id":403216,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1041/ofr20221041.pdf","text":"Report","size":"2.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022–1041"}],"country":"United States","state":"New Mexico","otherGeospatial":"North Fork Eagle Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.5,\n 33.0\n ],\n [\n -105.1,\n 33.0\n ],\n [\n -105.1,\n 33.4\n ],\n [\n -105.5,\n 33.4\n ],\n [\n -105.5,\n 33.0\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-07-08","noUsgsAuthors":false,"publicationDate":"2022-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Graziano, Alexander P. 0000-0003-1978-0986","orcid":"https://orcid.org/0000-0003-1978-0986","contributorId":211607,"corporation":false,"usgs":true,"family":"Graziano","given":"Alexander","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chavarria, Shaleene B. 0000-0001-8792-1010","orcid":"https://orcid.org/0000-0001-8792-1010","contributorId":223376,"corporation":false,"usgs":true,"family":"Chavarria","given":"Shaleene","email":"","middleInitial":"B.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846039,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70232436,"text":"dr1154 - 2022 - Database of water quality and groundwater elevation within and surrounding the Lee Acres Landfill, New Mexico, 1985–2020","interactions":[],"lastModifiedDate":"2026-03-16T20:03:06.776182","indexId":"dr1154","displayToPublicDate":"2022-07-07T13:54:48","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1154","displayTitle":"Database of Water Quality and Groundwater Elevation Within and Surrounding the Lee Acres Landfill, New Mexico, 1985–2020","title":"Database of water quality and groundwater elevation within and surrounding the Lee Acres Landfill, New Mexico, 1985–2020","docAbstract":"

This report describes the background information related to and the contents of the Lee Acres-Giant Bloomfield Refinery Database (LAGBRD), which is a compilation of monitoring data collected at the Lee Acres Landfill and the Giant Bloomfield Refinery near Farmington, New Mexico. LAGBRD includes monitoring data from as early as 1985, when awareness was increasing regarding contamination from liquid waste lagoons at the landfill and fuel releases at the refinery. Water quality and groundwater elevation data from sampling locations at the landfill and the refinery are included in the database. LAGBRD was compiled by the U.S. Geological Survey in cooperation with the Bureau of Land Management, which operates the Lee Acres Landfill, in order to facilitate future studies into the characteristics of groundwater contamination and background geochemistry at the landfill and refinery sites.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1154","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Gray, E.L., and Ferguson, C.L., 2022, Database of water quality and groundwater elevation within and surrounding the Lee Acres Landfill, New Mexico, 1985–2020: U.S. Geological Survey Data Report 1154, 80 p., https://doi.org/10.3133/dr1154.","productDescription":"Report: xi, 80 p.; Database","numberOfPages":"96","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-127569","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":501205,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113258.htm","linkFileType":{"id":5,"text":"html"}},{"id":402827,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dr/1154/dr1154_database.zip","size":"14.4 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"—Lee Acres-Giant Bloomfield Refinery Database (LAGBRD)"},{"id":402825,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1154/dr1154.pdf","text":"Report","size":"2.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1154"},{"id":402824,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1154/coverthb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Lee Acres Landfill","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.06564331054688,\n 36.683288049295015\n ],\n [\n -108.00590515136717,\n 36.683288049295015\n ],\n [\n -108.00590515136717,\n 36.72072349483175\n ],\n [\n -108.06564331054688,\n 36.72072349483175\n ],\n [\n -108.06564331054688,\n 36.683288049295015\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-07-07","noUsgsAuthors":false,"publicationDate":"2022-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Gray, Erin L. 0000-0002-3945-6393","orcid":"https://orcid.org/0000-0002-3945-6393","contributorId":292711,"corporation":false,"usgs":false,"family":"Gray","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":845537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferguson, Christina L. 0000-0003-3368-0770","orcid":"https://orcid.org/0000-0003-3368-0770","contributorId":225087,"corporation":false,"usgs":true,"family":"Ferguson","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845538,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70232580,"text":"ofr20221063 - 2022 - Groundwater quality of the Lucerne Valley groundwater basin, California","interactions":[],"lastModifiedDate":"2026-03-30T20:17:38.406867","indexId":"ofr20221063","displayToPublicDate":"2022-07-07T10:22:36","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1063","displayTitle":"Groundwater Quality of the Lucerne Valley Groundwater Basin, California","title":"Groundwater quality of the Lucerne Valley groundwater basin, California","docAbstract":"

Anthropogenic activities, including groundwater withdrawals, return flow from irrigated agriculture, and treated wastewater-effluent disposal have the potential to affect groundwater quality in the Lucerne Valley groundwater basin, located in the southwest Mojave Desert. Questions regarding the current state and potential future of groundwater quality in this basin were addressed by (1) considering groundwater data from and findings of historical water-quality studies, (2) evaluating recent (1990–2021) U.S. Geological Survey water-quality and geochemical-tracer data, and (3) assessing groundwater-quality results from samples collected in 2021 to better understand the transport of applied treated wastewater effluent in the subsurface and associated effects of this practice on water quality. As observed by previous studies, differences in groundwater quality existed among the upper, middle, and lower aquifers of the Lucerne Valley groundwater basin, with the lower aquifer characterized by high dissolved-solid content relative to the middle and upper aquifers. Stable and radioisotope tracers indicate that most of the groundwater sampled in the basin was recharged during cooler, wetter climate conditions than those of the present day (2022). Analyses of the 2021 samples collected to examine the subsurface transport of applied treated wastewater effluent were not conclusive but indicate that water from applied treated wastewater effluent is currently (2022) limited to the upper aquifer and likely to remain so given the extensive confining unit below the upper aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221063","collaboration":"Prepared in cooperation with the Mojave Water Agency","usgsCitation":"Fackrell, J.K., 2022, Groundwater quality of the Lucerne Valley groundwater basin, California: U.S. Geological Survey Open-File Report 2022-1063, 19 p., https://doi.org/10.3133/ofr20221063.","productDescription":"viii, 19 p.","numberOfPages":"19","onlineOnly":"Y","ipdsId":"IP-137528","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501818,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113259.htm","linkFileType":{"id":5,"text":"html"}},{"id":403158,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1063/ofr20221063.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2022–1063"},{"id":403163,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20225048","text":"Scientific Investigations Report 2022-5048","description":"Stamos, C.L., Larsen, J.D., Powell, R.E., Matti, J.C., and Martin, P., 2022, Hydrogeology and simulation of groundwater flow in the Lucerne Valley groundwater basin, California: U.S. Geological Survey Scientific Investigations Report 2022-5048, 120 p., https://doi.org/10.3133/sir20225048.","linkHelpText":"- Hydrogeology and Simulation of Groundwater Flow in the Lucerne Valley Groundwater Basin, California"},{"id":403159,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1063/ofr20221063.xml"},{"id":403160,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1063/images"},{"id":403157,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1063/covrthb.jpg"},{"id":403185,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221063/full","text":"Report","description":"Open-File Report 2022-1063"}],"country":"United States","state":"California","otherGeospatial":"Lucerne Valley Groundwater Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.666667,\n 34.266667\n ],\n [\n -117.083333,\n 34.266667\n ],\n [\n -117.083333,\n 34.666667\n ],\n [\n -116.666667,\n 34.666667\n ],\n [\n -116.666667,\n 34.266667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-07-07","noUsgsAuthors":false,"publicationDate":"2022-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Fackrell, Joseph K. 0000-0001-8148-3734","orcid":"https://orcid.org/0000-0001-8148-3734","contributorId":225515,"corporation":false,"usgs":true,"family":"Fackrell","given":"Joseph","email":"","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846002,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70232511,"text":"70232511 - 2022 - Towards continuous streamflow monitoring with time-lapse cameras and deep learning","interactions":[],"lastModifiedDate":"2022-07-06T15:11:56.843258","indexId":"70232511","displayToPublicDate":"2022-07-06T10:05:20","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Towards continuous streamflow monitoring with time-lapse cameras and deep learning","docAbstract":"Effective water resources management depends on monitoring the\nvolume of water flowing through streams and rivers, but collecting\ncontinuous discharge measurements using traditional streamflow\ngauges is prohibitively expensive. Time-lapse cameras offer a lowcost\noption for streamflow monitoring, but training models for\npredicting streamflow directly from images requires streamflow\ndata to use as labels, which are often unavailable. We address this\ndata gap by proposing the alternative task of Streamflow Rank Estimation\n(SRE), in which the goal is to predict relative measures\nof streamflow such as percentile rank rather than absolute flow.\nIn particular, we use a learning-to-rank framework to train SRE\nmodels using pairs of stream images ranked in order of discharge\nby an annotator, obviating the need for discharge training data and\nthus facilitating monitoring streamflow conditions at streams without\ngauges. We also demonstrate a technique for converting SRE\nmodel predictions to stream discharge estimates given an estimated\nstreamflow distribution. Using data and images from six small US\nstreams, we compare the performance of SRE with conventional\nregression models trained to predict absolute discharge. Our results\nshow that SRE performs nearly as well as regression models on\nrelative flow prediction. Further, we observe that the accuracy of\nabsolute discharge estimates obtained by mapping SRE model predictions\nthrough a discharge distribution largely depends on how\nwell the assumed discharge distribution matches the field observed\ndata.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)","conferenceDate":"June 29-July 1, 2022","conferenceLocation":"Seattle, Washington, United States","language":"English","publisher":"Association for Computing Machinery","doi":"10.1145/3530190.3534805","usgsCitation":"Gupta, A., Chang, T., Walker, J., and Letcher, B., 2022, Towards continuous streamflow monitoring with time-lapse cameras and deep learning, in COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS), Seattle, Washington, United States, June 29-July 1, 2022, p. 353-363, https://doi.org/10.1145/3530190.3534805.","productDescription":"11 p.","startPage":"353","endPage":"363","ipdsId":"IP-140817","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":491483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1145/3530190.3534805","text":"Publisher Index Page"},{"id":403068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gupta, Amrita 0000-0003-2643-5865","orcid":"https://orcid.org/0000-0003-2643-5865","contributorId":264600,"corporation":false,"usgs":false,"family":"Gupta","given":"Amrita","email":"","affiliations":[{"id":54512,"text":"Georgia Institute of Techniology","active":true,"usgs":false}],"preferred":false,"id":845736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Tony","contributorId":191992,"corporation":false,"usgs":false,"family":"Chang","given":"Tony","email":"","affiliations":[],"preferred":false,"id":845737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Jeffrey 0000-0003-1923-6550","orcid":"https://orcid.org/0000-0003-1923-6550","contributorId":222613,"corporation":false,"usgs":true,"family":"Walker","given":"Jeffrey","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":845739,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70232528,"text":"70232528 - 2022 - Ventilation systems in wetland plant species","interactions":[],"lastModifiedDate":"2022-07-06T14:44:26.779967","indexId":"70232528","displayToPublicDate":"2022-07-06T09:40:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Ventilation systems in wetland plant species","docAbstract":"
Molecular oxygen and carbon dioxide may be limited for aquatic plants, but they have various mechanisms for acquiring these gases from the atmosphere, soil, or metabolic processes. The most common adaptations of aquatic plants involve various aerenchymatic structures, which occur in various organs, and enable the throughflow of gases. These gases can be transferred in emergent plants by molecular diffusion, pressurized gas flow, and Venturi-induced convection. In submerged species, the direct exchange of gases between submerged above-ground tissues and water occurs, as well as the transfer of gases via aerenchyma. Photosynthetic O2 streams to the rhizosphere, while soil CO2 streams towards leaves where it may be used for photosynthesis. In floating-leaved plants anchored in the anoxic sediment, two strategies have developed. In water lilies, air enters through the stomata of young leaves, and streams through channels towards rhizomes and roots, and back through older leaves, while in lotus, two-way flow in separate air canals in the petioles occurs. In Nypa Steck palm, aeration takes place via leaf bases with lenticels. Mangroves solve the problem of oxygen shortage with root structures such as pneumatophores, knee roots, and stilt roots. Some grasses have layers of air on hydrophobic leaf surfaces, which can improve the exchange of gases during submergence. Air spaces in wetland species also facilitate the release of greenhouse gases, with CH4 and N2O released from anoxic soil, which has important implications for global warming.
","language":"English","publisher":"MDPI","doi":"10.3390/d14070517","usgsCitation":"Bjorn, L.O., Middleton, B., Germ, M., and Gaberscik, A., 2022, Ventilation systems in wetland plant species: Diversity, v. 14, no. 7, 517, 21 p., https://doi.org/10.3390/d14070517.","productDescription":"517, 21 p.","ipdsId":"IP-130028","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":447201,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d14070517","text":"Publisher Index Page"},{"id":403065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Bjorn, Lars O. 0000-0001-9538-4040","orcid":"https://orcid.org/0000-0001-9538-4040","contributorId":292782,"corporation":false,"usgs":false,"family":"Bjorn","given":"Lars","email":"","middleInitial":"O.","affiliations":[{"id":63000,"text":"University of Lund, Sweden","active":true,"usgs":false}],"preferred":false,"id":845791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Beth A. 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":216869,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":845792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germ, Mateja","contributorId":292783,"corporation":false,"usgs":false,"family":"Germ","given":"Mateja","email":"","affiliations":[{"id":63002,"text":"University of Ljubljana, Slovenia","active":true,"usgs":false}],"preferred":false,"id":845793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaberscik, Alenka","contributorId":292784,"corporation":false,"usgs":false,"family":"Gaberscik","given":"Alenka","email":"","affiliations":[{"id":63002,"text":"University of Ljubljana, Slovenia","active":true,"usgs":false}],"preferred":false,"id":845794,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70232527,"text":"70232527 - 2022 - Effect of restoration on plant greenness and water use in relation to drought in the riparian corridor of the Colorado River delta","interactions":[],"lastModifiedDate":"2022-10-17T15:33:32.476895","indexId":"70232527","displayToPublicDate":"2022-07-06T09:11:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10956,"text":"Journal of the American Water Resource Association (JAWRA)","active":true,"publicationSubtype":{"id":10}},"title":"Effect of restoration on plant greenness and water use in relation to drought in the riparian corridor of the Colorado River delta","docAbstract":"

Revitalization of the Colorado River delta riparian corridor and increasing riparian plant greenness and water use may be accomplished by added water and restoration efforts to offset declines measured since 2000 by Landsat. We use the two-band Enhanced Vegetation Index (EVI2; a proxy for greenness) and evapotranspiration (ET, mm/day) using EVI2 and potential ET(ETo) from Yuma Valley. We assess if restoration with only 7.5% landcover had an impact on the unrestored reach-level landcover by measuring these two metrics, EVI2 and ET(EVI2) by comparing restored and unrestored areas. A key finding is that over 21-years EVI2 in the unrestored corridor decreased by 23.6% and ET(EVI2) decreased by 32% (0.87 mm/day). Since 2011, the unrestored reaches lost EVI2 (11%) and −0.73 mm/day ET(EVI2) (28%), but restored sites increased in EVI2 (36%) and 0.58 mm/day ET(EVI2) (20%). Water delivered to restored sites increased EVI2 by 33.6% and 1.29 mm/day ET(EVI2) (58%). EVI2 and ET(EVI2) as a function of the Standardized Precipitation Evapotranspiration Index for drought periods highlight that restored and unrestored sites respond differently. Unrestored reaches are in decline; restored sites show increases in EVI2 and ET(EVI2). Restored sites do not have a significant impact on unrestored adjacent area, but smaller surface flows, a greater reliance on directed agricultural return flows, and deliveries of water to active restoration sites have revitalized habitat and increased ecosystem services in the delta.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13036","usgsCitation":"Nagler, P.L., Sall, I., Barreto-Muñoz, A., Gómez-Sapiens, M., Nouri, H., Borujeni, S.C., and Didan, K., 2022, Effect of restoration on plant greenness and water use in relation to drought in the riparian corridor of the Colorado River delta: Journal of the American Water Resource Association (JAWRA), v. 58, no. 5, p. 746-784, https://doi.org/10.1111/1752-1688.13036.","productDescription":"39 p.","startPage":"746","endPage":"784","ipdsId":"IP-133058","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":489192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13036","text":"Publisher Index Page"},{"id":403063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Colorado River delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.90600585937499,\n 31.1140915948987\n ],\n [\n -114.84832763671876,\n 31.015278981711266\n ],\n [\n -114.15069580078125,\n 31.50362930577303\n ],\n [\n -114.29351806640625,\n 31.580875273985466\n ],\n [\n -114.51873779296875,\n 31.69779270531287\n ],\n [\n -114.59564208984374,\n 31.823898240526955\n ],\n [\n -114.76043701171875,\n 31.98012335736804\n ],\n [\n -114.92248535156249,\n 32.115148622612445\n ],\n [\n -114.91424560546875,\n 32.13375715632646\n ],\n [\n -114.98565673828124,\n 32.19188435632485\n ],\n [\n -115.22735595703125,\n 31.982453066235763\n ],\n [\n -115.18615722656249,\n 31.847232251731132\n ],\n [\n -115.10650634765625,\n 31.80289258670676\n ],\n [\n -115.06256103515624,\n 31.704803074739214\n ],\n [\n -115.08453369140625,\n 31.68143311662596\n ],\n [\n -115.07354736328125,\n 31.48020882071693\n ],\n [\n -114.90600585937499,\n 31.1140915948987\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sall, Ibrahima 0000-0002-7526-636X","orcid":"https://orcid.org/0000-0002-7526-636X","contributorId":251750,"corporation":false,"usgs":false,"family":"Sall","given":"Ibrahima","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":845785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barreto-Muñoz, Armando","contributorId":239891,"corporation":false,"usgs":false,"family":"Barreto-Muñoz","given":"Armando","affiliations":[{"id":48028,"text":"University of Arizona, Biosystems Engineering, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":845786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gómez-Sapiens, Martha","contributorId":292779,"corporation":false,"usgs":false,"family":"Gómez-Sapiens","given":"Martha","affiliations":[{"id":62998,"text":"Department of Geosciences, University of Arizona, Tucson, AZ 85721, USA","active":true,"usgs":false}],"preferred":false,"id":845789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nouri, Hamideh","contributorId":178847,"corporation":false,"usgs":false,"family":"Nouri","given":"Hamideh","affiliations":[],"preferred":false,"id":845787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borujeni, Sattar Chavoshi","contributorId":240671,"corporation":false,"usgs":false,"family":"Borujeni","given":"Sattar","email":"","middleInitial":"Chavoshi","affiliations":[],"preferred":false,"id":845788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":845790,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70232516,"text":"70232516 - 2022 - Depositional controls on detrital zircon provenance: An example from upper Cretaceous strata, southern Patagonia","interactions":[],"lastModifiedDate":"2022-07-06T14:09:16.662089","indexId":"70232516","displayToPublicDate":"2022-07-06T08:53:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Depositional controls on detrital zircon provenance: An example from upper Cretaceous strata, southern Patagonia","docAbstract":"Understanding how depositional environments within a sedimentary system redistribute and sequester sediment is critical for interpreting basin-scale provenance trends. However, sedimentary source-to-sink models commonly examine temporal changes and do not consider how variation in sedimentation processes across a dispersal pathway may result in contrasting provenance signatures. In this paper, we demonstrate a down-paleoslope shift in detrital zircon provenance signatures correlated with shallow-marine lithofacies patterns from the Upper Cretaceous La Anita Formation and underlying continental slope lithofacies of the Alta Vista Formation (Magallanes-Austral Basin, southern Patagonia). New stratigraphic, sedimentologic, and lithofacies analysis results from the La Anita Formation suggest an upward shoaling succession, from a (i) storm-influenced shoreface, (ii) fluvially-dominated, wave-influenced delta, and a (iii) high-energy, gravelly foreshore. Stratigraphic sections are paired with U-Pb detrital zircon sandstone samples (N = 20; n = 5219), which provide both maximum depositional ages and provenance characteristics. While all samples contain abundant zircon derived from the Andean volcanic arc (ca. 145–75 Ma), the amount from both Jurassic distal volcanic massifs (ca. 188–162 Ma) and recycled orogenic sources exhumed during the advance of the Cretaceous fold-and-thrust belt (>200 Ma; 157–142 Ma) vary with changes in depositional environment. We argue that down-paleoslope, systematic enriching of local fold-and-thrust belt material within the La Anita Formation is reflective of progressive mixing of grains transported via shallow-marine processes, while distally enriched fluvio-deltaic transported zircons were sourced from large, regional catchments. This suggests that competition between transport processes across a shallow and marginal marine sequence of rocks affects the resulting provenance signatures recorded within a single stratigraphic succession. These data also detail the degree of sediment pathway connectivity between shallow-marine sources and deep-marine sinks. Detrital zircon results from muddy continental slope facies of the Alta Vista Formation are made up entirely locally derived material, while zircon results from deep-water, sand-rich channel facies of the Formation are indistinguishable from coeval fluvio-deltaic zircon signatures. This implies that continental shelf-to-slope connectivity in a sediment dispersal system, via submarine canyons or shelf-edge delta progradation, is necessary for detrital zircon distributions from the shallow-marine realm to propagate into the deeper marine.","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2022.824930","usgsCitation":"Dobbs, S.C., Malkowski, M.A., Schwartz, T.M., Sickmann, Z.T., and Graham, S.A., 2022, Depositional controls on detrital zircon provenance: An example from upper Cretaceous strata, southern Patagonia: Frontiers in Earth Science, v. 10, 824930, 25 p., https://doi.org/10.3389/feart.2022.824930.","productDescription":"824930, 25 p.","ipdsId":"IP-135536","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":447205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2022.824930","text":"Publisher Index Page"},{"id":403062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","otherGeospatial":"Patagonia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.6748046875,\n -46.346927610556754\n ],\n [\n -67.8515625,\n -46.346927610556754\n ],\n [\n -67.8515625,\n -42.90816007196053\n ],\n [\n -71.6748046875,\n -42.90816007196053\n ],\n [\n -71.6748046875,\n -46.346927610556754\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2022-06-22","publicationStatus":"PW","contributors":{"editors":[{"text":"Galli, Claudia Ines","contributorId":292835,"corporation":false,"usgs":false,"family":"Galli","given":"Claudia","email":"","middleInitial":"Ines","affiliations":[],"preferred":false,"id":845885,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Dobbs, Stephen C.","contributorId":222427,"corporation":false,"usgs":false,"family":"Dobbs","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":845746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malkowski, Matthew A.","contributorId":292768,"corporation":false,"usgs":false,"family":"Malkowski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":845747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, Theresa Maude 0000-0001-6606-4072","orcid":"https://orcid.org/0000-0001-6606-4072","contributorId":245180,"corporation":false,"usgs":true,"family":"Schwartz","given":"Theresa","email":"","middleInitial":"Maude","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":845748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sickmann, Zachary T.","contributorId":292770,"corporation":false,"usgs":false,"family":"Sickmann","given":"Zachary","email":"","middleInitial":"T.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":845749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graham, Stephan A.","contributorId":45902,"corporation":false,"usgs":true,"family":"Graham","given":"Stephan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":845750,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}