Peatlands play a disproportionate role in the global carbon cycle. However, many peatlands have been ditched to lower the water table and converted into agriculture, which contributes to anthropogenic greenhouse gas emissions. Hydrologic restoration of drained peatlands could offset greenhouse gas emissions from these actions, but field examples that consider various greenhouse gases are still rare. Here, we examined emissions of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) from soils in drained shrub bogs in North Carolina, USA, before and after hydrologic restoration. We used static chamber methods and a before-and-after, control-impact (BACI) experimental design. We found that hydrologic manipulation (akin to restoration) increased water table levels by 65%, even with the impact of two hurricanes before and one after hydrologic manipulation. Increased water table levels led to a 58% decrease in CO2 fluxes, and an increase in CH4 (251%) and N2O fluxes (85%). Water table depth and soil temperature explained 43% of variation in CO2, while water table depth explained 25% and 18% of variation in CH4 and N2O fluxes, respectively. Despite the increases in CH4 and N2O, the higher magnitude of fluxes and large decline in CO2 lead to an overall lowering of greenhouse gas emissions after hydrologic restoration. Our results suggest that raising the water table in this shrub bog peatland decreased overall greenhouse gas emissions, illustrating that hydrologic restoration of peatlands can be a valuable climate mitigation practice.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-022-01605-y","usgsCitation":"Armstrong, L., Peralta, A., Krauss, K., Cormier, N., Moss, R., Soderholm, E., McCall, A., Pickens, C., and Ardon, M., 2022, Hydrologic restoration decreases greenhouse gas emissions from shrub bog peatlands in southeastern US: Wetlands, v. 42, 81, 10 p., https://doi.org/10.1007/s13157-022-01605-y.","productDescription":"81, 10 p.","ipdsId":"IP-135745","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":408490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Pocosin Lakes National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.61453247070312,\n 35.60930140634475\n ],\n [\n -76.16958618164062,\n 35.60930140634475\n ],\n [\n -76.16958618164062,\n 35.862343734896484\n ],\n [\n -76.61453247070312,\n 35.862343734896484\n ],\n [\n -76.61453247070312,\n 35.60930140634475\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","noUsgsAuthors":false,"publicationDate":"2022-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Armstrong, Luise","contributorId":298009,"corporation":false,"usgs":false,"family":"Armstrong","given":"Luise","email":"","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":854835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peralta, Ariane","contributorId":298010,"corporation":false,"usgs":false,"family":"Peralta","given":"Ariane","email":"","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":854836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":854837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cormier, N. 0000-0003-2453-9900","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":221147,"corporation":false,"usgs":false,"family":"Cormier","given":"N.","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":854838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moss, Rebecca 0000-0002-7599-9758 mossr@usgs.gov","orcid":"https://orcid.org/0000-0002-7599-9758","contributorId":169722,"corporation":false,"usgs":true,"family":"Moss","given":"Rebecca","email":"mossr@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":854839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Soderholm, Eric","contributorId":298011,"corporation":false,"usgs":false,"family":"Soderholm","given":"Eric","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":854840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCall, Aaron","contributorId":298012,"corporation":false,"usgs":false,"family":"McCall","given":"Aaron","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":854841,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pickens, Christine","contributorId":298013,"corporation":false,"usgs":false,"family":"Pickens","given":"Christine","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":854842,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ardon, Marcelo","contributorId":298014,"corporation":false,"usgs":false,"family":"Ardon","given":"Marcelo","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":854843,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70240286,"text":"70240286 - 2022 - Effects of shady environments on fish collective behavior","interactions":[],"lastModifiedDate":"2023-02-03T16:20:33.544985","indexId":"70240286","displayToPublicDate":"2022-10-01T10:13:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Effects of shady environments on fish collective behavior","docAbstract":"Despite significant efforts devoted to understanding the underlying complexity and emergence of collective movement in animal groups, the role of different external settings on this type of movement remains largely unexplored. Here, by combining time series analysis and complex network tools, we present an extensive investigation of the effects of shady environments on the behavior of a fish species (Silver Carp Hypophthalmichthys molitrix) within earthen ponds. We find that shade encourages fish residence during daylight hours, but the degree of preference for shade varies substantially among trials and ponds. Silver Carp are much slower and exhibit lower persistence in their speeds when under shade than out of it during daytime and nighttime, with fish displaying the highest persistence degree and speeds at night. Furthermore, our research shows that shade affects fish schooling behavior by reducing their polarization, number of interactions among individuals, and the stability among local neighbors; however, fish keep a higher local degree of order when under shade compared to nighttime positions.
","language":"English","publisher":"Springer","doi":"10.1038/s41598-022-22515-3","usgsCitation":"Ribeiro, H.V., Acre, M.R., Faulkner, J., da Cunha, L.R., Lawson, K., Wamboldt, J.J., Brey, M.K., Woodley, C., and Calfee, R.D., 2022, Effects of shady environments on fish collective behavior: Scientific Reports, v. 12, no. 1, 17873, 12 p., https://doi.org/10.1038/s41598-022-22515-3.","productDescription":"17873, 12 p.","ipdsId":"IP-142457","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":446255,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-022-22515-3","text":"Publisher Index Page"},{"id":435670,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XURDHS","text":"USGS data release","linkHelpText":"Silver Carp (Hypophthalmichthys molitrix) locations in earthen ponds with overhead structure"},{"id":412687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Ribeiro, Haroldo V.","contributorId":301984,"corporation":false,"usgs":false,"family":"Ribeiro","given":"Haroldo","email":"","middleInitial":"V.","affiliations":[{"id":65378,"text":"Departamento de F'isica, Universidade Estadual de Maring","active":true,"usgs":false}],"preferred":false,"id":863237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acre, Matthew Ross 0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":863238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulkner, Jacob 0000-0002-8109-9107","orcid":"https://orcid.org/0000-0002-8109-9107","contributorId":238279,"corporation":false,"usgs":true,"family":"Faulkner","given":"Jacob","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":863239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"da Cunha, Leonardo R.","contributorId":301985,"corporation":false,"usgs":false,"family":"da Cunha","given":"Leonardo","email":"","middleInitial":"R.","affiliations":[{"id":65378,"text":"Departamento de F'isica, Universidade Estadual de Maring","active":true,"usgs":false}],"preferred":false,"id":863240,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawson, Katelyn M.","contributorId":201981,"corporation":false,"usgs":false,"family":"Lawson","given":"Katelyn M.","affiliations":[{"id":36314,"text":"University of Florida/IFAS","active":true,"usgs":false}],"preferred":false,"id":863241,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wamboldt, James J. 0000-0003-3043-5198","orcid":"https://orcid.org/0000-0003-3043-5198","contributorId":219060,"corporation":false,"usgs":true,"family":"Wamboldt","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":863242,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":863243,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woodley, Christa M.","contributorId":301986,"corporation":false,"usgs":false,"family":"Woodley","given":"Christa M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":863244,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":863245,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70237223,"text":"70237223 - 2022 - Puget Sound Spatially Referenced Regression on Watershed Attributes (SPARROW)","interactions":[],"lastModifiedDate":"2026-03-18T15:16:45.794674","indexId":"70237223","displayToPublicDate":"2022-10-01T10:07:50","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":23618,"text":"Quality Assurance Project Plan","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"22-03-109","title":"Puget Sound Spatially Referenced Regression on Watershed Attributes (SPARROW)","docAbstract":"The United States Geological Survey (USGS) and the Washington State Department of Ecology (Ecology) are collaborating on the development of refined, seasonal load estimates of total nitrogen and total phosphorus within watersheds draining to Washington waters of the Salish Sea for the period 2005-2020. The modeling approach for this work is based on SPARROW (Spatially Referenced Regression on Watershed Attributes), a watershed modeling technique developed by the USGS. SPARROW is typically used to estimate stream loads throughout a stream network.
The estimated loads will be used within the context of the Puget Sound Nutrient Source Reduction Project to evaluate the influence of watershed contributions of nutrients throughout the stream network and to marine waters. This quality assurance project plan (QAPP) contains details about the technical approach, observational data, spatial and temporal source data, limitations, and quality assurance procedures that will be employed to develop the SPARROW models so that they can be used to inform additional actions to address excess nutrients.
","language":"English","publisher":"Washington State Department of Ecology (Ecology)","usgsCitation":"Figueroa-Kaminsky, C., Wasielewski, J., McCarthy, S., Schmadel, N., Wise, D., Johnson, Z., and Black, R.W., 2022, Puget Sound Spatially Referenced Regression on Watershed Attributes (SPARROW): Quality Assurance Project Plan 22-03-109, 76 p.","productDescription":"76 p.","ipdsId":"IP-143204","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":501247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501246,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://apps.ecology.wa.gov/publications/SummaryPages/2203109.html"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.52217372194855,\n 48.967370797762754\n ],\n [\n -123.88225129810027,\n 48.967370797762754\n ],\n [\n -123.88225129810027,\n 45.85254256141661\n ],\n [\n -120.52217372194855,\n 45.85254256141661\n ],\n [\n -120.52217372194855,\n 48.967370797762754\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Figueroa-Kaminsky, Cristiana","contributorId":350514,"corporation":false,"usgs":false,"family":"Figueroa-Kaminsky","given":"Cristiana","affiliations":[{"id":25353,"text":"Washington State Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":957136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wasielewski, Jamie K. 0009-0005-7497-3344","orcid":"https://orcid.org/0009-0005-7497-3344","contributorId":344993,"corporation":false,"usgs":false,"family":"Wasielewski","given":"Jamie K.","affiliations":[{"id":82458,"text":"Washington Dept. of Ecology","active":true,"usgs":false}],"preferred":false,"id":957137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCarthy, Sheelagh","contributorId":367235,"corporation":false,"usgs":false,"family":"McCarthy","given":"Sheelagh","affiliations":[],"preferred":false,"id":957138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmadel, Noah M. 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":957139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wise, Daniel R. 0000-0002-1215-9612","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":217259,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Zachary 0000-0002-0149-5223 zjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":190399,"corporation":false,"usgs":true,"family":"Johnson","given":"Zachary","email":"zjohnson@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":957141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853672,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70237874,"text":"70237874 - 2022 - Getting ahead of flash drought: From early warning to early action","interactions":[],"lastModifiedDate":"2022-10-28T14:41:10.795385","indexId":"70237874","displayToPublicDate":"2022-10-01T09:34:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12798,"text":"Bulletin of American Meteorological Society (BAMS)","active":true,"publicationSubtype":{"id":10}},"title":"Getting ahead of flash drought: From early warning to early action","docAbstract":"Flash droughts, characterized by their unusually rapid intensification, have garnered increasing attention within the weather, climate, agriculture, and ecological communities in recent years due to their large environmental and socioeconomic impacts. Because flash droughts intensify quickly, they require different early warning capabilities and management approaches than are typically used for slower-developing “conventional” droughts. In this essay, we describe an integrated research-and-applications agenda that emphasizes the need to reconceptualize our understanding of flash drought within existing drought early warning systems by focusing on opportunities to improve monitoring and prediction. We illustrate the need for engagement among physical scientists, social scientists, operational monitoring and forecast centers, practitioners, and policy-makers to inform how they view, monitor, predict, plan for, and respond to flash drought. We discuss five related topics that together constitute the pillars of a robust flash drought early warning system, including the development of 1) a physically based identification framework, 2) comprehensive drought monitoring capabilities, and 3) improved prediction over various time scales that together 4) aid impact assessments and 5) guide decision-making and policy. We provide specific recommendations to illustrate how this fivefold approach could be used to enhance decision-making capabilities of practitioners, develop new areas of research, and provide guidance to policy-makers attempting to account for flash drought in drought preparedness and response plans.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-21-0288.1","usgsCitation":"Otkin, J.A., Woloszyn, M., Wang, H., Svoboda, M., Skumanich, M., Pulwarty, R., Lisonbee, J., Hoell, A., Hobbins, M., Haigh, T., and Cravens, A.E., 2022, Getting ahead of flash drought: From early warning to early action: Bulletin of American Meteorological Society (BAMS), v. 103, no. 10, p. E2188-E2202, https://doi.org/10.1175/BAMS-D-21-0288.1.","productDescription":"15 p.","startPage":"E2188","endPage":"E2202","ipdsId":"IP-137074","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467160,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/bams-d-21-0288.1","text":"External Repository"},{"id":408858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Otkin, Jason A.","contributorId":192635,"corporation":false,"usgs":false,"family":"Otkin","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":856044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woloszyn, Molly","contributorId":260136,"corporation":false,"usgs":false,"family":"Woloszyn","given":"Molly","email":"","affiliations":[{"id":52519,"text":"NOAA National Integrated Drought Information System","active":true,"usgs":false}],"preferred":false,"id":856045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Hailan","contributorId":298623,"corporation":false,"usgs":false,"family":"Wang","given":"Hailan","email":"","affiliations":[{"id":64628,"text":"NOAA Climate Prediction Center","active":true,"usgs":false}],"preferred":false,"id":856046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svoboda, Mark","contributorId":192357,"corporation":false,"usgs":false,"family":"Svoboda","given":"Mark","email":"","affiliations":[],"preferred":false,"id":856047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skumanich, Marina","contributorId":260137,"corporation":false,"usgs":false,"family":"Skumanich","given":"Marina","email":"","affiliations":[{"id":52519,"text":"NOAA National Integrated Drought Information System","active":true,"usgs":false}],"preferred":false,"id":856048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pulwarty, Roger","contributorId":212144,"corporation":false,"usgs":false,"family":"Pulwarty","given":"Roger","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":856049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lisonbee, Joel","contributorId":298624,"corporation":false,"usgs":false,"family":"Lisonbee","given":"Joel","email":"","affiliations":[{"id":64629,"text":"NOAA-NIDIS","active":true,"usgs":false}],"preferred":false,"id":856050,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoell, Andrew","contributorId":145803,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":856051,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hobbins, Mike 0000-0001-5540-8466","orcid":"https://orcid.org/0000-0001-5540-8466","contributorId":292343,"corporation":false,"usgs":false,"family":"Hobbins","given":"Mike","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":856052,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Haigh, Tonya","contributorId":204248,"corporation":false,"usgs":false,"family":"Haigh","given":"Tonya","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":856053,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":856054,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70239208,"text":"70239208 - 2022 - Survival and growth of four floodplain forest species in an Upper Mississippi River underplanting","interactions":[],"lastModifiedDate":"2023-01-04T15:30:54.592533","indexId":"70239208","displayToPublicDate":"2022-10-01T09:30:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12993,"text":"Tree Planters Notes","active":true,"publicationSubtype":{"id":10}},"title":"Survival and growth of four floodplain forest species in an Upper Mississippi River underplanting","docAbstract":"Forest restoration efforts commonly occur in degraded ecosystems. For the floodplain forests of the Upper Mississippi River, the combination of aging canopy trees and expansion of invasive species such as reed canary grass (Phalaris arundinacea L.) can shift forested ecosystems to open meadows. Before this shift occurs, there may be opportunities to proactively underplant. Our study reports 2-year survival and growth of four tree species (swamp white oak (Quercus bicolor Wild.), silver maple (Acer saccharinum L.), hackberry (Celtis occidentalis L.), and sycamore (Platanus occidentalis L.) planted under a moderate canopy of silver maple (approximately 60 percent overstory cover) across three elevational gradients. Swamp white oak had high survival across all three of the elevational zones and showed limited effects by herbivory or insects. Growth and survival of sycamore and hackberry depended on the elevational zone; sycamore performed better on lower elevational sites and hackberry did better on higher elevational sites. Our results highlight the potential for underplanting in floodplain forests as a proactive restoration strategy, with consideration given to local site conditions.
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","language":"English","publisher":"Nevada Department of Transportation","collaboration":"in cooperation with USDOT Federal Highway Administration","usgsCitation":"Brehme, C.S., Tracey, J.A., Gould, P.R., Rochester, C.J., and Fisher, R., 2022, Internal structural cover and ledges facilitate the use of large underpasses by multiple wildlife species and groups, ii, 52 p.","productDescription":"ii, 52 p.","ipdsId":"IP-145925","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":417088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417081,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.pooledfund.org/details/study/610"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":221,\"properties\":{\"name\":\"San 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Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":872806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tracey, Jeff A. 0000-0002-1619-1054 jatracey@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-1054","contributorId":5780,"corporation":false,"usgs":true,"family":"Tracey","given":"Jeff","email":"jatracey@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":872807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gould, Philip Robert 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N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":872810,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70238656,"text":"70238656 - 2022 - Estuarine Geomorphology, Circulation, and Mixing","interactions":[],"lastModifiedDate":"2022-12-02T13:28:35.628529","indexId":"70238656","displayToPublicDate":"2022-10-01T07:24:39","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Estuarine Geomorphology, Circulation, and Mixing","docAbstract":"To understand the processes affecting the distribution and cycles of particulates, pollutants, nutrients, and organisms in estuaries, it is insufficient to focus solely on the biological and chemical aspects of the processes. Water sources and movements (e.g. evaporation, precipitation, riverine discharge, submarine ground water discharge, wetland hydrology, and tidal exchange) as well as other hydrodynamic aspects of coastal systems, including circulation patterns, stratification, mixing and flushing, must also be considered. When hydrodynamic changes occur quickly relative to biological, geological, and chemical transformations, they become the dominant controlling factors of many ecological processes in estuaries (Officer 1980), and it is now widely recognized that a thorough understanding of the marine estuarine ecology requires comprehensive knowledge and integration of physical processes affecting the system. Using the terminology of a shallow-water oceanographer, this chapter aims to organize, classify, and describe some of these important physical characteristics and processes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Estuarine Ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","usgsCitation":"Snedden, G., Cable, J., and Kjerfve, B., 2022, Estuarine Geomorphology, Circulation, and Mixing, chap. 2 of Estuarine Ecology, p. 16-35.","productDescription":"20 p.","startPage":"16","endPage":"35","ipdsId":"IP-128034","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":409988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"3rd edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Snedden, Gregg 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":213411,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":858212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cable, Jaye E.","contributorId":299602,"corporation":false,"usgs":false,"family":"Cable","given":"Jaye E.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":858213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kjerfve, Bjorn","contributorId":299603,"corporation":false,"usgs":false,"family":"Kjerfve","given":"Bjorn","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":858214,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237944,"text":"70237944 - 2022 - Using Landsat and MODIS satellite collections to examine extent, timing, and potential impacts of surface water inundation in California croplands☆","interactions":[],"lastModifiedDate":"2022-11-01T12:04:00.80791","indexId":"70237944","displayToPublicDate":"2022-10-01T06:59:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5098,"text":"Remote Sensing Applications: Society and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Using Landsat and MODIS satellite collections to examine extent, timing, and potential impacts of surface water inundation in California croplands☆","docAbstract":"The state of California, United States of America produces many crop products that are both utilized domestically and exported throughout the world. With nearly 39,000 km2 of croplands, monitoring unintentional and intentional surface water inundation is important for water resource management and flood hazard readiness. We examine inundation dynamics in California croplands from 2003 to 2020 by intersecting monthly surface water maps (n = 216 months) derived using two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with a high-quality cropland map generated by the California Department of Water Resources. Surface water maps were produced using the Dynamic Surface Water Extent model, in which satellite image pixels are classified into different levels of detection confidence. Our analysis focused on calculating monthly and annual occurrence of “high confidence” water for each satellite collection across eight cropland types and 58 counties. Results indicate that 49.9% (MODIS) to 56.4% (Landsat) of croplands were inundated at least once during the 18-year timespan. Rice crops, due to their unique need of consistent surface water and dominance as a crop type in CA, had the highest proportion of and mean annual inundation area, while citrus crops had the lowest. Mean monthly inundation patterns in most croplands followed California's precipitation patterns with high inundation during the winter and spring rainy season. At the county level, croplands in the southern Central Valley typically had high occurrences of inundation in conjunction with large crop areas. Exposure and sensitivity of inundation for three crop types (citrus, deciduous, and vineyards) that are typically less associated with intentional inundation were geographically variable, but overall were generally highest in counties in the southern Central Valley, California's primary agricultural region. Flood and precipitation related crop insurance claims indicated that rice had the highest mean indemnity payout for any month with damages typically occurring in March and April. Insurance claims were also high in deciduous fruit and nut crops, which had peak damages in February. A comparison between inundation results and insurance claims suggests that the inundation mapped by our process coincides with claim activity. These data elucidate water inundation patterns across the state that can serve to inform farmers, insurers, decision makers, resource managers, and flood mitigation professionals.
The Paleocene-Eocene Thermal Maximum (PETM) is the most pronounced global warming event of the early Paleogene related to atmospheric CO2 increases. It is characterized by negative δ18O and δ13C excursions recorded in sedimentary archives and a transient disruption of the marine biosphere. Sites from the U.S. Atlantic Coastal Plain show an additional small, but distinct δ13C excursion below the onset of the PETM, coined the “pre-onset excursion” (POE), mimicking the PETM-forced environmental perturbations. This study focuses on the South Dover Bridge core in Maryland, where the Paleocene-Eocene transition is stratigraphically constrained by calcareous nannoplankton and stable isotope data, and in which the POE is well-expressed. The site was situated in a middle neritic marine shelf setting near a major outflow of the paleo-Potomac River system. We generated high-resolution benthic foraminiferal assemblage, stable isotope, trace-metal, grain-size and clay mineralogy data. The resulting stratigraphic subdivision of this Paleocene-Eocene transition is placed within a depth transect across the paleoshelf, highlighting that the PETM sequence is relatively expanded. The geochemical records provide detailed insights into the paleoenvironment, developing from a well-oxygenated water column in latest Paleocene to a PETM-ecosystem under severe biotic stress-conditions, with shifts in food supply and temperature, and under dysoxic bottom waters in a more river-dominated setting. Environmental changes started in the latest Paleocene and culminated atthe onset of the PETM, hinting to an intensifying trigger rather than to an instantaneous event at the Paleocene-Eocene boundary toppling the global system.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022PA004475","usgsCitation":"Doubrawa, M., Stassen, P., Robinson, M.M., Babila, T., Zachos, J., and Speijer, R.P., 2022, Shelf ecosystems along the U.S. Atlantic Coastal Plain prior to and during the Paleocene-Eocene Thermal Maximum: Insights into the stratigraphic architecture: Paleoceanography and Paleoclimatology, v. 37, no. 10, e2022PA004475, 21 p., https://doi.org/10.1029/2022PA004475.","productDescription":"e2022PA004475, 21 p.","ipdsId":"IP-138735","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":446262,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1029/2022PA004475>).","text":"External Repository"},{"id":423139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Pennsylvania, Virginia","city":"Ancora, Millville","otherGeospatial":"Atlantic Ocean, Bass River, Mattawoman Creek, South Dover Bridge, Wilson Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.52149499904571,\n 38.01418678915982\n ],\n [\n -73.68652155562353,\n 37.988504538700454\n ],\n [\n -73.53442629157814,\n 40.51190899588033\n ],\n [\n -74.29490261180376,\n 40.51190899588033\n ],\n [\n -75.06624287946097,\n 40.06441158243243\n ],\n [\n -76.5654676250484,\n 39.61395531750057\n ],\n [\n -76.90224999543389,\n 39.10998841782785\n ],\n [\n -77.32594394527337,\n 38.77199315778719\n ],\n [\n -77.52149499904571,\n 38.01418678915982\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"37","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Doubrawa, Monika","contributorId":332061,"corporation":false,"usgs":false,"family":"Doubrawa","given":"Monika","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":889335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stassen, Peter","contributorId":290269,"corporation":false,"usgs":false,"family":"Stassen","given":"Peter","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":889336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":332062,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":889337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Babila, Tali","contributorId":211722,"corporation":false,"usgs":false,"family":"Babila","given":"Tali","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":889338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zachos, James","contributorId":224075,"corporation":false,"usgs":false,"family":"Zachos","given":"James","affiliations":[],"preferred":false,"id":889339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Speijer, Robert P.","contributorId":290266,"corporation":false,"usgs":false,"family":"Speijer","given":"Robert","email":"","middleInitial":"P.","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":889340,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254932,"text":"70254932 - 2022 - Scat as a source of DNA for population monitoring","interactions":[],"lastModifiedDate":"2024-06-11T21:36:21.796705","indexId":"70254932","displayToPublicDate":"2022-09-30T15:46:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Scat as a source of DNA for population monitoring","docAbstract":"Sampling fecal droppings (scat) to genetically identify individual animals is an established method for monitoring mammal populations and could be highly useful for monitoring reptile populations. Whereas existing protocols for obtaining DNA from reptile scat focus on analyses of whole, fresh scat deposited during animal handling, the collection of scat naturally deposited by reptiles in situ, as required for non-invasive population monitoring, requires protocols to extract highly degraded DNA. Using surface swabs from such scats can reduce PCR inhibition, ecological impacts of removing scat, and zoonotic risks. We report on three related but independently designed studies of DNA analyses from scat swabs of herbivorous reptiles under natural desert conditions: two free-ranging desert tortoise species (Agassiz's desert tortoise, Gopherus agassizii, California, US, and Morafka's desert tortoise, G. morafkai, Arizona, US) and the common chuckwalla (Sauromalus atar) (Arizona, US, and Sonora, MX). We analyzed samples from both tortoise species with the same set of 16 microsatellites and chuckwalla samples with four mtDNA markers; studies also varied in swab preservation medium and DNA extraction method. Microsatellite amplification success per sample, defined as ≥9 loci with amplification, varied between studies, with 15% for Agassiz's desert tortoise and 42% Morafka's desert tortoise. For chuckwallas, we successfully amplified and sequenced 50% of samples. We recovered fragments up to 400 bp for tortoises and 980 bp for chuckwallas from scat swab samples. This study demonstrates that genotypes can successfully be obtained from swabs of herbivorous reptile scat collected in the field under natural environmental conditions and emphasizes that repeat amplifications are necessary for genetic identification of individuals from non-invasive samples.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.9415","usgsCitation":"Manning, J.A., Edwards, T., Clemons, J., Leavitt, D.J., Goldberg, C., and Culver, M., 2022, Scat as a source of DNA for population monitoring: Ecology and Evolution, v. 12, ece3.9415, 7 p., https://doi.org/10.1002/ece3.9415.","productDescription":"ece3.9415, 7 p.","ipdsId":"IP-110967","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":446264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.9415","text":"Publisher Index Page"},{"id":429924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California","otherGeospatial":"Anza-Borrego Desert State Park. Florence Military Reservation","volume":"12","noUsgsAuthors":false,"publicationDate":"2022-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Manning, Jeffrey A.","contributorId":338051,"corporation":false,"usgs":false,"family":"Manning","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":902921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Taylor","contributorId":239460,"corporation":false,"usgs":false,"family":"Edwards","given":"Taylor","affiliations":[{"id":47864,"text":"Genetics Core, University of Arizona, Tucson, AR, USA","active":true,"usgs":false}],"preferred":false,"id":902922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clemons, John","contributorId":338054,"corporation":false,"usgs":false,"family":"Clemons","given":"John","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":902923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leavitt, Daniel J.","contributorId":338057,"corporation":false,"usgs":false,"family":"Leavitt","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":81077,"text":"U.S. Fish and Wildlife Services","active":true,"usgs":false}],"preferred":false,"id":902924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldberg, Caren S.","contributorId":289552,"corporation":false,"usgs":false,"family":"Goldberg","given":"Caren S.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":902925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":902926,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237117,"text":"sir20225091 - 2022 - Assessing the impact of chloride deicer application in the Siskiyou Pass, southern Oregon","interactions":[],"lastModifiedDate":"2022-10-03T11:05:36.759623","indexId":"sir20225091","displayToPublicDate":"2022-09-30T12:22:27","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5091","displayTitle":"Assessing the Impact of Chloride Deicer Application in the Siskiyou Pass, Southern Oregon","title":"Assessing the impact of chloride deicer application in the Siskiyou Pass, southern Oregon","docAbstract":"Chloride deicers have been applied by the Oregon Department of Transportation (ODOT) to Interstate Route 5 (I–5) from the Oregon-California border north to mile marker 10 for several years in the high-elevation area known as the Siskiyou Pass. Magnesium chloride (MgCl2) and sodium chloride (NaCl) are applied to keep the interstate highway safe for drivers and allow for efficient transport of goods and people through adverse weather conditions, particularly snow and ice. The U.S. Geological Survey entered into a cooperative agreement with ODOT to research the effects of chloride deicers in the Carter and Wall Creek watersheds that drain the vicinity of the Siskiyou Pass.
The Stochastic Empirical Loading and Dilution Model (SELDM) was used to estimate combinations of prestorm-streamflow, stormflow, highway-runoff, and event mean constituent concentrations (EMCs), as well as stormwater-constituent loads at sites of interest. The study evaluated the effects of roadway application of chloride deicers on downstream and highway-runoff conditions (particularly EMCs), exceedance rates of criterion maximum concentrations, and concurrent runoff loads of stormwater constituents from a site of interest. SELDM was also used to evaluate the efficiency of hydrograph extension best management practices to reduce peak constituent concentrations. Several SELDM scenarios were developed as sensitivity analyses to evaluate the model benefit of collecting specific local sets of data, such as streamflow, precipitation, highway-runoff and riverine water-quality samples, and volumetric runoff coefficient statistics.
Results of the study showed that for SELDM modeling in the Siskiyou Pass area, (1) the inclusion of local streamflow data is important for obtaining accurate downstream EMCs, (2) the inclusion of precipitation data is important for highway and concurrent runoff load calculations, and (3) water-quality constituent EMC data from highway runoff and upstream stormflows are the most important data to collect for highway runoff and upstream water-quality constituent concentration statistics.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225091","collaboration":"Prepared in cooperation with the Oregon Department of Transportation","usgsCitation":"Stonewall, A.J., Yates, M.C., and Granato, G.E., 2022, Assessing the impact of chloride deicer application in the Siskiyou Pass, southern Oregon: U.S. Geological Survey Scientific Investigations Report 2022–5091, 94 p., https://doi.org/10.3133/sir20225091.","productDescription":"Report: xii, 93 p.; Data Release; 4 Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-107308","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":407662,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5091/sir20225091_table_3.csv","text":"Table 3","size":"13 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022-5091 Table 3"},{"id":407660,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5091/coverthb.jpg"},{"id":407661,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5091/sir20225091.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5091"},{"id":407666,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5091/sir20225091_table_17.csv","text":"Table 17","size":"2 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022-5091 Table 17"},{"id":407668,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5091/sir20225091_table_26.csv","text":"Table 26","size":"4 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022-5091 Table 26"},{"id":407670,"rank":9,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5091/images"},{"id":407671,"rank":10,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5091/sir20225091.XML"},{"id":407664,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5091/sir20225091_table_10.csv","text":"Table 10","size":"2 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022-5091 Table 10"},{"id":407673,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q1PP61","text":"USGS data release","description":"USGS data release","linkHelpText":"Stochastic Empirical Loading and Dilution Model (SELDM) model archive and instructions for the Siskiyou Pass, Oregon"},{"id":407675,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5091/sir20225091_tables3_10_17_26_csv.zip","text":"Tables 3, 10, 17, and 26 CSV files","size":"7 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2022-5091 Tables 3, 10, 17, and 26"},{"id":407674,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5091/sir20225091_tables3_10_17_26.xlsx","text":"Tables 3, 10, 17, and 26 Excel file","size":"36 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2022-5091 Tables 3, 10, 17, and 26"}],"country":"United States","state":"Oregon","otherGeospatial":"Siskiyou Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.32,\n 42.02\n ],\n [\n -122.32,\n 42.02\n ],\n [\n -122.32,\n 42.02\n ],\n [\n -122.40,\n 42.08\n ],\n [\n -122.40,\n 42.08\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 14,785 billion cubic feet of gas resources in the Western Gulf Basin Province, U.S. Gulf Coast region.
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The fungal kingdom represents an extraordinary diversity of organisms with profound impacts across animal, plant, and ecosystem health. Fungi simultaneously support life, by forming beneficial symbioses with plants and producing life-saving medicines, and bring death, by causing devastating diseases in humans, plants, and animals. With climate change, increased antimicrobial resistance, global trade, environmental degradation, and novel viruses altering the impact of fungi on health and disease, developing new approaches is now more crucial than ever to combat the threats posed by fungi and to harness their extraordinary potential for applications in human health, food supply, and environmental remediation. To address this aim, the Canadian Institute for Advanced Research (CIFAR) and the Burroughs Wellcome Fund convened a workshop to unite leading experts on fungal biology from academia and industry to strategize innovative solutions to global challenges and fungal threats. This report provides recommendations to accelerate fungal research and highlights the major research advances and ideas discussed at the meeting pertaining to 5 major topics: (1) Connections between fungi and climate change and ways to avert climate catastrophe; (2) Fungal threats to humans and ways to mitigate them; (3) Fungal threats to agriculture and food security and approaches to ensure a robust global food supply; (4) Fungal threats to animals and approaches to avoid species collapse and extinction; and (5) Opportunities presented by the fungal kingdom, including novel medicines and enzymes.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/g3journal/jkac224","usgsCitation":"Case, N.T., Berman, J., Blehert, D.S., Cramer, R.A., Cuomo, C.A., Currie, C.R., Ene, I.V., Fisher, M.C., Fritz-Laylin, L.K., Gerstein, A.C., Glass, N.L., Gow, N.A., Gurr, S.J., Hittinger, C.T., Hohl, T.M., Iliev, I.D., James, T.Y., Jin, H., Klein, B.S., Kronstad, J.W., Lorch, J., McGovern, V., Mitchell, A.P., Segre, J.A., Shapiro, R.S., Sheppard, D.C., Sil, A., Stajich, J.E., Stukenbrock, E.E., Taylor, J.W., Thompson, D., Wright, G.D., Heitman, J., and Cowen, L.E., 2022, The future of fungi: Threats and opportunities: G3 Genes, Genomes, Genetics, v. 12, no. 11, jkac224, 11 p., https://doi.org/10.1093/g3journal/jkac224.","productDescription":"jkac224, 11 p.","ipdsId":"IP-141178","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":446269,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/g3journal/jkac224","text":"Publisher Index Page"},{"id":408609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Case, Nicola T.","contributorId":298382,"corporation":false,"usgs":false,"family":"Case","given":"Nicola","email":"","middleInitial":"T.","affiliations":[{"id":41123,"text":"Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":855491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berman, Judith","contributorId":298384,"corporation":false,"usgs":false,"family":"Berman","given":"Judith","email":"","affiliations":[{"id":64552,"text":"Shmunis School of Biomedical and Cancer Research, The George S. 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We use used a boat-mounted underwater video camera to count 93 deepwater redds at 17 of the 28 sites surveyed. Redd depths averaged 3.9 m. In conjunction with the Idaho Power Company, we collected genetic samples from 346 live fall Chinook salmon (Oncorhynchus tshawytscha) and 15 carcasses at 48 unique geographic locations that spanned 90 river kilometers. Seventy-two fish were recovered at Eureka Bar (river kilometer [rkm] 307.1) and High Range (rkm 332.3), which accounted for 20% of all collected fish in 2021. Most (291 fish) post-spawned salmon were collected during the first two weeks of November around the peak of spawning. A summary of 2021 PBT results produced by the Idaho Power Company can be found in Appendix A.2.
Beach seining and PIT tagging of subyearling fall Chinook salmon was conducted in Snake and Salmon rivers to obtain information on population metrics and growth as well as to provide data for ongoing life-cycle modeling. In the Snake River, we collected 13,710 subyearlings, tagged 6,299, and recaptured 981 (15.6%). Using 8-mm tags in 45–49-mm fish allowed us to represent an additional 40% of the juvenile population through PIT tagging beyond just using standard 9- and 12-mm tags. In the Salmon River, we captured 103 natural subyearlings with the majority (60%) of fish being captured at two sites: rkm 11 and 20. We tagged 27 subyearlings, and no fish were recaptured. In Lower Granite Reservoir, we captured 4,887 subyearlings, PIT tagged 2,585, and recaptured 312.
Many of the subyearlings we tagged in the Snake River were detected passing Lower Granite Dam, but no fish tagged in the Salmon River were detected. In total we detected 673 (7.6%) tagged fish at Lower Granite Dam, and detection rates varied by tag size and passage route. More subyearlings were detected passing via the removable spill weir (RSW) earlier in the season while more fish were detected passing through the juvenile fish bypass system (JBS) later in the season. In general, fish tagged with 12-mm PIT tags had higher detection rates than fish tagged with smaller tags. Survival to Lower Granite Dam was low and ranged from 0.195 to 0.228. Growth of subyearlings was similar between riverine and reservoir reaches but was slightly lower in Lower Granite Reservoir. Only 19 subyearlings were recaptured at Lower Granite Dam in early autumn that predominantly originated from the Clearwater River (1 fish was from the Snake River). Mean standard deviation (SD) fork length and mass growth rates were 0.92±0.10 mm/d and 0.06±0.01 g/g/d, respectively.
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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the third European conference on earthquake engineering and seismology – 3ECEES","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Wald, D.J., Quitoriano, V., Goded, T., Hortacsu, A., Spence, R., and de Rubeis, V., 2022, Towards developing and implementing an International Macroseismic Scale (IMS) for earthquake engineering, earthquake science, and rapid damage assessment, in Proceedings of the third European conference on earthquake engineering and seismology – 3ECEES, p. 4975-4985.","productDescription":"11 p.","startPage":"4975","endPage":"4985","ipdsId":"IP-139489","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":501307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quitoriano, Vince 0000-0003-4157-1101 vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goded, Tatiana","contributorId":175119,"corporation":false,"usgs":false,"family":"Goded","given":"Tatiana","email":"","affiliations":[],"preferred":false,"id":879635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hortacsu, Ayse","contributorId":195197,"corporation":false,"usgs":false,"family":"Hortacsu","given":"Ayse","email":"","affiliations":[],"preferred":false,"id":879636,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spence, Robin 0000-0002-7600-0395","orcid":"https://orcid.org/0000-0002-7600-0395","contributorId":270278,"corporation":false,"usgs":false,"family":"Spence","given":"Robin","email":"","affiliations":[{"id":56131,"text":"Cambridge Architectural Research Ltd","active":true,"usgs":false}],"preferred":false,"id":879637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"de Rubeis, Valerio","contributorId":317885,"corporation":false,"usgs":false,"family":"de Rubeis","given":"Valerio","affiliations":[{"id":39118,"text":"Istituto Nazionale di Geofisica e Vulcanologia","active":true,"usgs":false}],"preferred":false,"id":879638,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237682,"text":"70237682 - 2022 - Applied aspects of locomotion and biomechanics","interactions":[],"lastModifiedDate":"2022-10-31T14:59:00.053436","indexId":"70237682","displayToPublicDate":"2022-09-30T09:23:19","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Applied aspects of locomotion and biomechanics","docAbstract":"Locomotion is the act and process of moving from place to place, which is fundamental to the life history of all mobile organisms. While the field of biomechanics encompasses the study of the physical constraints of what animals are capable of, ecological contexts require an integrated view that includes ecology and behavior. This chapter provides an overview of some of the areas where locomotion and biomechanics of fish movement interface with the rapidly evolving changes that humans impose on aquatic environments. These changes include fundamental alterations to the environment such as altered flows, fragmentation of riverine habitats, and invasive species, but also direct interactions that occur with capture fisheries. We explore each of these areas, considering both challenges and opportunities informed by the study of locomotion and biomechanics, emphasizing how this field can contribute to conservation of fishes in the Anthropocene. We then turn to technology, where important advances are aiding in our understanding of fish movement. In some cases those advances have themselves led to novel technologies, where biomimetic robots and related devices offer novel opportunities, both for conservation and for other pursuits.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fish Physiology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/bs.fp.2022.04.003","usgsCitation":"Castro-Santos, T.R., Goerig, E., He, P., and Lauder, G., 2022, Applied aspects of locomotion and biomechanics, chap. 3 of Fish Physiology, v. 39, no. Part A, p. 91-140, https://doi.org/10.1016/bs.fp.2022.04.003.","productDescription":"50 p.","startPage":"91","endPage":"140","ipdsId":"IP-134940","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":408544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"Part A","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":855002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goerig, Elsa","contributorId":261644,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":855003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"He, Pingguo 0000-0003-2801-9240","orcid":"https://orcid.org/0000-0003-2801-9240","contributorId":298065,"corporation":false,"usgs":false,"family":"He","given":"Pingguo","email":"","affiliations":[{"id":64486,"text":"School of Marine Science and Technology (UMass Dartmouth)","active":true,"usgs":false}],"preferred":false,"id":855004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauder, George 0000-0003-0731-286X","orcid":"https://orcid.org/0000-0003-0731-286X","contributorId":298066,"corporation":false,"usgs":false,"family":"Lauder","given":"George","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":855005,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237788,"text":"70237788 - 2022 - Toward next-generation lava flow forecasting: Development of a fast, physics-based lava propagation model","interactions":[],"lastModifiedDate":"2022-10-24T14:26:12.410622","indexId":"70237788","displayToPublicDate":"2022-09-30T09:22:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7514,"text":"Journal of Geophysical Research - Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Toward next-generation lava flow forecasting: Development of a fast, physics-based lava propagation model","docAbstract":"During effusive volcanic crises, the eruption and propagation of lava flows pose a significant hazard to nearby populations, homes, and infrastructure. Consequently, timely lava flow forecasts are a critical need for volcano observatory and emergency management operations. Previous lava flow modeling tools are typically either too slow to produce timely forecasts, or are fast, but lack critical aspects of lava physics or important forecasting outputs. In particular, the strong thermal stratification present in laminar, high-Prandtl number flows has generally been neglected. Bulk rheological changes have previously been computed from cell-averaged temperatures, assuming that the flow is thermally mixed. Here, we detail the development and initial testing of Lava2d, a new two-dimensional depth-averaged finite volume model of lava flow propagation over natural terrain which accounts for bulk rheological changes due to thermorheological stratification. We use a novel approach to energy conservation based on tracking cooling and solidifying at the flow base and at the moving flow surface, allowing for the estimation of more realistic vertical thermorheological profiles, while maintaining computational efficiency, producing very timely model runs. We validate our approach with three examples: comparison with theoretical propagation of crust-dominated lava flows, comparison with a large-scale molten basalt experiment from the Syracuse University Lava Project, and efficiency testing and comparison with the initial phase of the 1984 Mauna Loa lava flows. Our model is shown to produce rapid, realistic forecasts, making it a good candidate for operationalization in active volcanic regions such as in Hawai'i.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JB024998","usgsCitation":"Hyman, D.M., Dietterich, H., and Patrick, M.R., 2022, Toward next-generation lava flow forecasting: Development of a fast, physics-based lava propagation model: Journal of Geophysical Research - Solid Earth, v. 127, no. 10, e2022JB024998, 27 p., https://doi.org/10.1029/2022JB024998.","productDescription":"e2022JB024998, 27 p.","ipdsId":"IP-142187","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":408642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hyman, David M.R. 0000-0002-9607-7584","orcid":"https://orcid.org/0000-0002-9607-7584","contributorId":298460,"corporation":false,"usgs":false,"family":"Hyman","given":"David","email":"","middleInitial":"M.R.","affiliations":[{"id":64581,"text":"Center for the Study of Active Volcanoes, University of Hawaii at Hilo, Hawaiian Volcano Observatory","active":true,"usgs":false}],"preferred":false,"id":855645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":855646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":855647,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237236,"text":"70237236 - 2022 - Modeling protected species distributions and habitats to inform siting and management of pioneering ocean industries: A case study for Gulf of Mexico aquaculture","interactions":[],"lastModifiedDate":"2022-10-05T13:55:41.861651","indexId":"70237236","displayToPublicDate":"2022-09-30T08:50:51","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":"Modeling protected species distributions and habitats to inform siting and management of pioneering ocean industries: A case study for Gulf of Mexico aquaculture","docAbstract":"Marine Spatial Planning (MSP) provides a process that uses spatial data and models to evaluate environmental, social, economic, cultural, and management trade-offs when siting (i.e., strategically locating) ocean industries. Aquaculture is the fastest-growing food sector in the world. The United States (U.S.) has substantial opportunity for offshore aquaculture development given the size of its exclusive economic zone, habitat diversity, and variety of candidate species for cultivation. However, promising aquaculture areas overlap many protected species habitats. Aquaculture siting surveys, construction, operations, and decommissioning can alter protected species habitat and behavior. Additionally, aquaculture-associated vessel activity, underwater noise, and physical interactions between protected species and farms can increase the risk of injury and mortality. In 2020, the U.S. Gulf of Mexico was identified as one of the first regions to be evaluated for offshore aquaculture opportunities as directed by a Presidential Executive Order. We developed a transparent and repeatable method to identify aquaculture opportunity areas (AOAs) with the least conflict with protected species. First, we developed a generalized scoring approach for protected species that captures their vulnerability to adverse effects from anthropogenic activities using conservation status and demographic information. Next, we applied this approach to data layers for eight species listed under the Endangered Species Act, including five species of sea turtles, Rice’s whale, smalltooth sawfish, and giant manta ray. Next, we evaluated four methods for mathematically combining scores (i.e., Arithmetic mean, Geometric mean, Product, Lowest Scoring layer) to generate a combined protected species data layer. The Product approach provided the most logical ordering of, and the greatest contrast in, site suitability scores. Finally, we integrated the combined protected species data layer into a multi-criteria decision-making modeling framework for MSP. This process identified AOAs with reduced potential for protected species conflict. These modeling methods are transferable to other regions, to other sensitive or protected species, and for spatial planning for other ocean-uses.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0267333","usgsCitation":"Farmer, N.A., Powell, J.R., Morris, J.A., Soldevilla, M.S., Wickliffe, L.C., Jossart, J.A., MacKay, J.K., Randall, A.L., Bath, G.E., Ruvelas, P., Gray, L., Lee, J., Piniak, W., Garrison, L., Hardy, R., Hart, K., Sasso, C., Stokes, L., and Riley, K.L., 2022, Modeling protected species distributions and habitats to inform siting and management of pioneering ocean industries: A case study for Gulf of Mexico aquaculture: PLoS ONE, v. 17, no. 9, e0267333, 29 p., https://doi.org/10.1371/journal.pone.0267333.","productDescription":"e0267333, 29 p.","ipdsId":"IP-139636","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":446276,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0267333","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":853702,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sasso, Christopher","contributorId":209797,"corporation":false,"usgs":false,"family":"Sasso","given":"Christopher","affiliations":[{"id":37992,"text":"NOAA, National Marine Fisheries Service, Southeast Fisheries Science Center, Miami, FL, USA 33149","active":true,"usgs":false}],"preferred":false,"id":853703,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stokes, Lesley","contributorId":297249,"corporation":false,"usgs":false,"family":"Stokes","given":"Lesley","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":853704,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Riley, Kenneth 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variability","docAbstract":"The Miocene Climatic Optimum (MCO) provides important insights into how the climate system operates under elevated temperatures and atmospheric CO2 levels. Few western North Atlantic paleotemperature or paleoecological records exist from the MCO, despite their importance for understanding both regional and global climate dynamics. Here we present quantitative MCO paleoecological data from the western North Atlantic, specifically from the Baltimore Gas & Electric (BG&E) marine sediment core from southern Maryland, USA. We examine alkenones and planktic foraminifera and document the first sea surface temperature (SST) and productivity estimates for the MCO and the Middle Miocene Climate Transition (MMCT) from the continental shelf. Increased levels of planktic foraminifer species diversity and surface productivity accompany high sea level intervals of the MCO, indicating coastal upwelling. Cooling episodes correlate to unconformities in the BG&E core that reflect sea level lowstands; these and sedimentary cycles tie the record to eccentricity-paced Antarctic ice sheet growth and decay. This dynamic record not only captures the variability in SST, sea level and coastal productivity during the warm MCO and the transition to cooler global temperatures during the MMCT, but it also demonstrates the variability in local conditions within and between intervals of high sea level.
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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Estuarine Ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","usgsCitation":"Twilley, R.R., Rovai, A.S., and Krauss, K., 2022, Mangrove Wetlands, chap. 7 of Estuarine Ecology, p. 153-180.","productDescription":"27 p.","startPage":"153","endPage":"180","ipdsId":"IP-107997","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":409987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409975,"type":{"id":15,"text":"Index Page"},"url":"https://www.wiley.com/en-us/Estuarine+Ecology%2C+3rd+Edition-p-9781119534563"}],"edition":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":858209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rovai, Andre S.","contributorId":167671,"corporation":false,"usgs":false,"family":"Rovai","given":"Andre","email":"","middleInitial":"S.","affiliations":[{"id":24801,"text":"Federal University of Santa Catarina, Dept. Ecology and Zoology, Brazil","active":true,"usgs":false}],"preferred":false,"id":858210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":218325,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":858211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237266,"text":"70237266 - 2022 - Assessing human resources development in volcano observatories using the knowledge, attitude, and practice survey","interactions":[],"lastModifiedDate":"2022-10-05T12:23:04.903581","indexId":"70237266","displayToPublicDate":"2022-09-30T07:17:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2823,"text":"Natural Hazards Review","active":true,"publicationSubtype":{"id":10}},"title":"Assessing human resources development in volcano observatories using the knowledge, attitude, and practice survey","docAbstract":"The purpose of this study was to assess the role played by the International Training Course, given by the Center for the Study of Active Volcanoes (CSAV) at the University of Hawai’i at Hilo, in the development of human resources for volcano observatory staff around the world. The study design included a literature review, interviews with representatives from 10 national volcano observatories, and electronic surveys designed and conducted by Florida International University, targeting graduates of training courses sponsored by the Volcano Disaster Assistance Program (VDAP), a cooperative partnership between the US Agency for International Development (USAID) and the US Geological Survey (USGS). The knowledge, attitude, and practice (KAP) method was used to develop a survey and a composite KAP index. Of the 92 individuals who answered the survey, 47 had completed the CSAV course. Two groups were formed from the survey respondents: (1) 47 people who were CSAV graduates; and (2) 45 people who did not take CSAV training. An independent samples
Cisco (Coregonus artedi) once dominated fish communities in the Laurentian Great Lakes. Restoring the abundance and distribution of this species has emerged as a management priority, yet our understanding of Cisco spawning habitat use is insufficient to characterise habitat needs for these populations and assess whether availability of suitable spawning habitat could be a constraint to recovery. We characterised the distribution of incubating Cisco eggs in situ across gradients of depth and substrate types to describe the spawning habitat used by three Great Lakes populations. In Chaumont Bay, Lake Ontario, eggs were concentrated on shallow bedrock shoals and not found on deeper silt or sand substrate. In contrast, eggs in Thunder Bay, Lake Superior, and Elk Rapids, Lake Michigan, were found on deeper fine grain sediments with low utilisation of shallow rocky and cobble habitats. These patterns of egg incubation habitat use suggest a broad spawning habitat niche at the species level but distinct spawning habitat preferences at the population level. While our results indicate some historical diversity in spawning habitat use has been maintained across the species’ range in the Great Lakes, comparisons of contemporary spawning habitat utilisation against historical accounts raise questions as to whether some spawning habitat use behaviours may no longer be prevalent within specific lakes. Thus, characterising the portfolio of spawning strategies remaining within lakes may improve our understanding of habitat needs and identify opportunities to maintain population diversity while supporting Cisco rehabilitation.