Climate change presents new and ongoing challenges to natural resource management. To confront these challenges effectively, managers need to develop proactive adaptation strategies to prepare for and deal with the effects of climate change. We engaged managers and biologists from several midwestern U.S. Fish and Wildlife Service field stations to understand recent and future climate change effects, identify adaptation barriers and opportunities, and pilot an approach for integrating adaptation thinking into management planning. To start, three structured discussions informed our understanding of how managers currently deal with climate change effects, the strategies being implemented to cope, and the barriers that limit climate change adaptation efforts. We used these insights to develop a multiday virtual workshop geared toward identifying potential adaptation strategies for managed wetlands. First, we developed a conceptual model to visualize how management actions are used to meet habitat objectives within wetland management systems. Next, we discussed how climate change may affect management actions and objectives; we used this understanding of potential effects to spatially assess vulnerability of managed wetlands to climate change. Using a scenario planning approach, we incorporated multiple potential future conditions and identified effects and adaptation strategies that could be considered for each scenario. As a result, several adaptation strategies for managed wetlands under dry and wet future scenarios were identified that can be applied when developing site-specific adaptation plans. Based on our piloted approach, we determined it would be important to have an adaptation team composed of scientists and managers to facilitate discussions, develop appropriate scenarios, and identify realistic adaptation options. We document the tools, findings, and adaptation thinking process taken to enhance adaptation efforts of managed wetlands. The adaptation thinking process can be applied to advance adaptation efforts in other habitats, ecosystems, and site-specific land management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211103","usgsCitation":"Delaney, J.T., Bouska, K.L., and Eash, J.D., 2021, Climate Change Adaptation Thinking for Managed Wetlands: U.S. Geological Survey Open-File Report 2021–1103, 25 p., https://doi.org/10.3133/ofr20211103.","productDescription":"Report: vi, 25 p.; 3 Data Releases","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-128227","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":394943,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AL7GZM","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Watershed-based Midwest Climate Change Vulnerability Assessment Tool"},{"id":394942,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AL7GZM","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"R code: Scripts used to analyze data for the Midwest Climate Change Vulnerability Assessment"},{"id":394941,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AL7GZM","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Model inputs: Midwest climate change vulnerability assessment for the U.S. Fish and Wildlife Service"},{"id":394938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1103/ofr20211103.pdf","text":"Report","size":"44.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1103"},{"id":394937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1103/coverthb.jpg"},{"id":501530,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112325.htm","linkFileType":{"id":5,"text":"html"}},{"id":394940,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1103/images"},{"id":394939,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1103/ofr20211103.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2021–1103 XML"}],"contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, WI 54602
The southern sea otter (Enhydra lutris nereis) is a threatened sub-species in coastal ecosystems. To understand better the role of diet, monitor health, and enhance management of this and other marine mammal species, we characterized the oral (gingival) and distal gut (rectal and fecal) microbiota of 158 wild southern sea otters living off the coast of central California, USA, and 12 captive sea otters, some of which were included in a diet shift experiment. We found that the sea otter fecal microbiota was distinct from that of three other otter species, and that captivity does not significantly alter the community structure of the sea otter gingival or distal gut microbiota. Metagenomic analysis unexpectedly revealed that the majority of sea otter fecal DNA is derived from prey, rather than from indigenous bacteria or host cells as with most other mammals. We speculate that a reduced bacterial biomass in the sea otter gut reflects rapid gut transit time and a particular strategy for foraging and energy harvest. This study establishes a reference for the healthy sea otter microbiota, highlights how a marine lifestyle may shape the mammalian microbiota, and may inform future health assessments and conservation management of sea otter populations.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.12640","usgsCitation":"Dudek, N.K., Switzer, A.D., Costello, E.K., Murray, M.J., Tomoleoni, J.A., Staedler, M.M., Tinker, M., and Relman, D.A., 2022, Characterizing the oral and distal gut microbiota of the threatened southern sea otter (Enhydra lutris nereis) to enhance conservation practice: Conservation Science and Practice, v. 4, no. 4, e12640, 17 p., https://doi.org/10.1111/csp2.12640.","productDescription":"e12640, 17 p.","ipdsId":"IP-136885","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":448974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.12640","text":"Publisher Index Page"},{"id":397535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122,\n 34.252676117101515\n ],\n [\n -119.520263671875,\n 34.252676117101515\n ],\n [\n -119.520263671875,\n 36.92793899776678\n ],\n [\n -122,\n 36.92793899776678\n ],\n [\n -122,\n 34.252676117101515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Dudek, Natasha K","contributorId":289198,"corporation":false,"usgs":false,"family":"Dudek","given":"Natasha","email":"","middleInitial":"K","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":838688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Switzer, Alexandra D","contributorId":289199,"corporation":false,"usgs":false,"family":"Switzer","given":"Alexandra","email":"","middleInitial":"D","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":838689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costello, Elizabeth K","contributorId":289200,"corporation":false,"usgs":false,"family":"Costello","given":"Elizabeth","email":"","middleInitial":"K","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":838690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray, Michael J.","contributorId":206852,"corporation":false,"usgs":false,"family":"Murray","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":37418,"text":"Monterey Bay Aquarium, Monterey, CA","active":true,"usgs":false}],"preferred":false,"id":838691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":838692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Staedler, Michelle M. 0000-0002-1101-6580","orcid":"https://orcid.org/0000-0002-1101-6580","contributorId":213742,"corporation":false,"usgs":false,"family":"Staedler","given":"Michelle","email":"","middleInitial":"M.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":838693,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tinker, M. Tim 0000-0002-3314-839X","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":221787,"corporation":false,"usgs":false,"family":"Tinker","given":"M. Tim","affiliations":[{"id":40428,"text":"University of California, Santa Cruz; former USGS PI","active":true,"usgs":false}],"preferred":false,"id":838694,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Relman, David A","contributorId":289201,"corporation":false,"usgs":false,"family":"Relman","given":"David","email":"","middleInitial":"A","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":838695,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70229212,"text":"70229212 - 2022 - Loss of phylogenetic diversity under landscape change","interactions":[],"lastModifiedDate":"2022-03-03T17:14:57.143913","indexId":"70229212","displayToPublicDate":"2022-01-31T11:10:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Loss of phylogenetic diversity under landscape change","docAbstract":"Habitat alteration and destruction are primary drivers of biodiversity loss. However, the evolutionary dimensions of biodiversity loss remain largely unexplored in many systems. For example, little is known about how habitat alteration/loss can lead to phylogenetic deconstruction of ecological assemblages at the local level. That is, while species loss is evident, are some lineages favored over others? Using a long-term dataset of a globally, ecologically important guild of invertebrate consumers, stream leaf “shredders,” we created a phylogenetic tree of the taxa in the regional species pool, calculated mean phylogenetic distinctiveness for >1000 communities spanning >10 year period, and related species richness, phylogenetic diversity, and distinctiveness to watershed-scale impervious cover. Using a combination of changepoint and compositional analyses, we learned that increasing impervious cover produced marked reductions in all three measures of diversity. These results aid in understanding both phylogenetic diversity and mean assemblage phylogenetic distinctiveness. Our findings indicate that, not only are species lost when there is an increase in watershed urbanization, as other studies have demonstrated, but that those lost are members of more distinct lineages relative to the community as a whole.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.153595","usgsCitation":"Swan, C.M., Baker, M., Borowy, D., Johnson, A., Shcheglovitova, M., Sparkman, A., Neto, F.V., Van Appledorn, M., and Voelker, N., 2022, Loss of phylogenetic diversity under landscape change: Science of the Total Environment, v. 822, 153595, 8 p., https://doi.org/10.1016/j.scitotenv.2022.153595.","productDescription":"153595, 8 p.","ipdsId":"IP-123163","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":448976,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11603/24929","text":"External Repository"},{"id":396713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"822","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swan, Christopher M.","contributorId":265549,"corporation":false,"usgs":false,"family":"Swan","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":836946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Matthew","contributorId":196362,"corporation":false,"usgs":false,"family":"Baker","given":"Matthew","affiliations":[],"preferred":false,"id":836947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borowy, Dorothy 0000-0002-2569-9757","orcid":"https://orcid.org/0000-0002-2569-9757","contributorId":287610,"corporation":false,"usgs":false,"family":"Borowy","given":"Dorothy","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":836948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Anna","contributorId":287611,"corporation":false,"usgs":false,"family":"Johnson","given":"Anna","email":"","affiliations":[{"id":52650,"text":"Pennsylvania Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":836949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shcheglovitova, Mariya","contributorId":287612,"corporation":false,"usgs":false,"family":"Shcheglovitova","given":"Mariya","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":836950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sparkman, April","contributorId":287614,"corporation":false,"usgs":false,"family":"Sparkman","given":"April","email":"","affiliations":[{"id":38069,"text":"University of Maryland, Baltimore County","active":true,"usgs":false}],"preferred":false,"id":836951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neto, Francisco V.","contributorId":287617,"corporation":false,"usgs":false,"family":"Neto","given":"Francisco","email":"","middleInitial":"V.","affiliations":[{"id":61620,"text":"Laboratório de Ecologia, Instituto de Biociências","active":true,"usgs":false}],"preferred":false,"id":836952,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":836953,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Voelker, Nicole","contributorId":287619,"corporation":false,"usgs":false,"family":"Voelker","given":"Nicole","email":"","affiliations":[{"id":38069,"text":"University of Maryland, Baltimore County","active":true,"usgs":false}],"preferred":false,"id":836954,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70227800,"text":"sir20225001 - 2022 - Hydrogeologic characterization of the San Antonio Creek Valley watershed, Santa Barbara County, California","interactions":[],"lastModifiedDate":"2022-02-02T15:36:27.112588","indexId":"sir20225001","displayToPublicDate":"2022-01-31T11:06:53","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":"2022-5001","displayTitle":"Hydrogeologic Characterization of the San Antonio Creek Valley Watershed, Santa Barbara County, California","title":"Hydrogeologic characterization of the San Antonio Creek Valley watershed, Santa Barbara County, California","docAbstract":"The San Antonio Creek Valley watershed (SACVW) is located in western Santa Barbara County, about 15 miles south of Santa Maria and 55 miles north of Santa Barbara, California. The SACVW is about 135 square miles and encompasses the San Antonio Creek Valley groundwater basin; the SACVW is separated from adjacent groundwater basins by the Casmalia and Solomon Hills to the north, and the Purisima Hills to the south. At the western, downstream part of the valley, uplifted, consolidated rocks cause groundwater to discharge at land surface at Barka Slough. Since the late 1800s, groundwater has been the primary source of water for agricultural, military, municipal, and domestic uses. Groundwater withdrawal by pumping exceeded the amount of water replenishing the aquifer system during water years 1948–2018, causing groundwater-level declines of more than 150 feet in parts of the valley and reducing base flow at Barka Slough. Reliance on groundwater for agricultural water use (primarily for the irrigation and frost protection of vineyards, and fruit and berry crops) continues to strain the sustainability of the groundwater system.
Through a cooperative agreement, the Santa Barbara County Water Agency and Vandenberg Space Force Base invited the U.S. Geological Survey to address declines in groundwater levels, develop a better understanding of the hydrogeologic system, and provide tools to help evaluate and manage the effects of future development of the San Antonio Creek Valley groundwater basin within the encompassing San Antonio Creek Valley watershed (SACVW). The objectives of this study were to (1) refine the hydrogeologic framework of the San Antonio Creek Valley watershed, (2) quantify the hydrologic budget of the valley, and (3) develop hydrologic modeling tools to evaluate and aid in managing the groundwater resource. This report focuses on the first and second objectives to construct a hydrogeologic framework and characterize the historical and present-day hydrologic conditions of the SACVW during water years 1948–2018. As part of the second objective, work included quantifying the hydrologic budget and evaluating the hydrogeologic system using a combination of existing data and geologic and hydrologic data collected for this study.
The groundwater-flow system in the SACVW consists of five hydrogeologic units. These separate water-bearing units were identified based on hydrogeologic properties, such as sediment grain size, vertical-head differences in multiple-depth, monitoring-well sites, long-term groundwater level responses to pumping and climate, and the chemical character of groundwater and groundwater age in the mostly semi-consolidated to unconsolidated basin-fill sediments. The hydrogeologic units that comprise the different aquifers vary in their lithologic composition. The upper and lower aquifers (upper Paso Robles Formation, and lower Paso Robles Formation and Careaga Sandstone, respectively) are relatively coarse grained and are comprised of sand, gravel, and clay; the middle confining unit (the middle Paso Robles Formation) is relatively fine grained and is comprised of primarily clay, silt, and sand. The Pezzoni-Casmalia and Los Alamos faults, which are inferred to transect the SACVW between the western and eastern areas of the valley floor, do not appear to substantially affect the groundwater system.
Present-day recharge to the study area occurs primarily as infiltration from precipitation and streams in the upland areas of the Casmalia Hills and Solomon Hills, and along the main channel of San Antonio Creek. Reported estimates of annual natural recharge during water years 1948–2018 generally ranged from about 5,000 acre-feet to more than about 30,000 acre-feet. Stable and radioactive isotopes show that groundwater from the lower aquifer is old and probably was recharged as infiltration from precipitation and streams in the eastern upland areas of the Solomon Hills; however, the infiltration and recharge from these sources probably does not occur under present-day climatic conditions. Anthropogenic recharge, from sources such as return flow from agricultural irrigation, municipal water systems, and wastewater effluent, was estimated to range from about 600 acre-feet in 1948 to about 6,600 acre-feet in 2018. The average annual amount of groundwater removed from the SACVW by pumping during 1948–2018 was estimated to be about 17,200 acre-feet per year, increasing from about 3,000 acre-feet in 1948 to about 32,600 acre-feet in 2018. Estimates of annual pumpage generally exceeded estimates of annual recharge beginning in the mid-1970s and continuing through 2018. The predominant direction of groundwater flow under historical and present-day conditions was from the eastern uplands in the Solomon Hills to the west along San Antonio Creek to the discharge area in Barka Slough, and from the northern uplands in the Casmalia Hills south to San Antonio Creek.
Pumpage since the early 1900s and the subsequent groundwater-level declines have substantially reduced the amount of natural groundwater discharge at Barka Slough. Estimates of base flow to San Antonio Creek at the western, downstream extent of the SACVW have varied over time in response to changes in groundwater pumpage and climate; however, there was an overall decline in base flow during water years 1956–2018, decreasing from an average of about 1,700 acre-feet per year during 1956–69, to about 300 acre-feet per year during 2016–18. The long-term extraction of groundwater correlates with a decrease in groundwater levels by more than about 150 feet since the early 1940s in the eastern part of the basin near Los Alamos, and as much as about 50 feet in the upland areas and in the western part of the basin. At Barka Slough, groundwater levels have declined below land surface in some places, altering native riparian vegetation in and around the slough.
Surface-water quality in the SACVW varied depending on location and the time of year the samples were collected and on the amount of annual precipitation Most groundwater in the SACVW was calcium-bicarbonate-type water with total dissolved-solids concentrations of about 500–800 milligrams per liter generally representing water naturally recharged as infiltration from precipitation and streams. Total dissolved-solids concentrations in some wells ranged from 800 to 8,000 milligrams per liter, suggesting mixing of naturally recharged infiltrated water with water associated with oil-bearing geologic formations, agricultural products, or the evaporation of shallow groundwater. Concentrations of total dissolved solids and the chemical constituents chloride, nitrate plus nitrite (as nitrogen), calcium, and magnesium at selected wells generally increased during water years 1980–2018; increasing concentrations of these constituents may be associated with the expansion of agriculture in the watershed over time and the corresponding increase in the use of nitrates and calcium- and magnesium-based fertilizers and soil additives in modern agricultural practices.
The predominant direction of groundwater flow during historical and present-day conditions was from the eastern uplands in the Solomon Hills to the west along San Antonio Creek toward Barka Slough, and from the western uplands in the Casmalia Hills south to San Antonio Creek. The age of groundwater in the SACVW was evaluated using radioactive isotopes, and the flow of groundwater within the SACVW was evaluated using radioactive and stable isotopes. Modern groundwater (recharged after 1952) was generally found adjacent to San Antonio Creek and its tributaries in wells with perforated depths that averaged about 270 feet below land surface. Pre-modern groundwater (recharged before 1952) was found in wells that had average perforation depths of about 540 ft below land surface. Pre-modern groundwater identified in wells in the eastern upland area is interpreted to have had long, slow travel times to the western part of the SACVW where it was eventually discharged as base flow at Barka Slough or extracted as groundwater pumpage.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225001","collaboration":"Prepared in cooperation with Santa Barbara County Water Agency and Vandenberg Space Force Base","programNote":"Groundwater Availability and Use Assessments","usgsCitation":"Cromwell, G., Sweetkind, D.S., Densmore, J.N., Engott, J.A., Seymour, W.A., Larsen, J.D., Ely, C.P., Stamos, C.L., and Faunt, C.C., 2022, Hydrogeologic characterization of the San Antonio Creek Valley watershed, Santa Barbara County, California: U.S. Geological Survey Scientific Investigations Report 2022–5001, 124 p., https://doi.org/10.3133/sir20225001.","productDescription":"Report: xiv, 124 p.; Data Release","numberOfPages":"124","onlineOnly":"Y","ipdsId":"IP-106483","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":395158,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AD7DL8","linkHelpText":"Data release of hydrogeologic data from the San Antonio Creek Valley watershed, Santa Barbara County, California"},{"id":395160,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5001/covrthb.jpg"},{"id":395161,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5001/sir20225001.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":395162,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5001/sir20225001.xml"},{"id":395163,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5001/images"}],"country":"United States","state":"California","county":"Santa Barbara County","otherGeospatial":"San Antonio Creek Valley watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.50079345703125,\n 34.71113805795655\n ],\n [\n -120.09292602539062,\n 34.71113805795655\n ],\n [\n -120.09292602539062,\n 34.854382885097905\n ],\n [\n -120.50079345703125,\n 34.854382885097905\n ],\n [\n -120.50079345703125,\n 34.71113805795655\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
The objectives of the study are to (1) develop an updated assessment of the hydrogeology and geochemistry of the Petaluma valley watershed (PVW) and (2) develop an integrated hydrologic model for the PVW. The purpose of this report is to describe the conceptual model of the hydrologic, hydrogeologic, and water-quality characteristics of the PVW and a numerical groundwater-flow model of PVW.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225009","collaboration":"Prepared in cooperation with the Sonoma County Water Agency and the City of Petaluma","programNote":"Water Availability and Use Science Program","usgsCitation":"Traum, J.A., Teague, N.F., Sweetkind, D.S., and Nishikawa, T., 2022, Hydrologic and geochemical characterization of the Petaluma River watershed, Sonoma County, California: U.S. Geological Survey Scientific Investigations Report 2022–5009, 217 p., https://doi.org/10.3133/sir20225009.","productDescription":"Report: xviii, 217 p.; Executive Summmary: 5 p.; 4 Data Releases","numberOfPages":"217","onlineOnly":"Y","ipdsId":"IP-081057","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":395152,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5009/sir20225009.pdf","text":"Report","size":"130 MB"},{"id":395151,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5009/covrthb.png"},{"id":395147,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P965IDQZ","linkHelpText":"MODFLOW-OWHM used to characterize the flow system of the Petaluma River watershed, Sonoma County, California"},{"id":395146,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IQDHIT","linkHelpText":"Petaluma Model GIS Data"},{"id":395166,"rank":9,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5009/sir20225009_execSummary.pdf","text":"Executive Summary","size":"200 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Full Executive Summary from this report"},{"id":395149,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NL90P8","linkHelpText":"Data release of three-dimensional hydrogeologic framework model of the Petaluma Valley watershed, Sonoma County, California"},{"id":395150,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IRYFMB","linkHelpText":"Selected chemical and physical properties and inorganic constituents and time-series nitrate in samples from selected wells and/or springs, Petaluma Valley watershed, Sonoma County, California, 1959–2015"},{"id":395153,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5009/sir20225009.xml"},{"id":395154,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5009/images"}],"country":"United States","state":"California","county":"Sonoma County","otherGeospatial":"Petaluma River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.44674682617188,\n 38.11943249695316\n ],\n [\n -122.61428833007814,\n 38.37503882134334\n ],\n [\n -122.74887084960936,\n 38.361041528596026\n ],\n [\n -122.77359008789062,\n 38.293170153420135\n ],\n [\n -122.728271484375,\n 38.19718009396176\n ],\n [\n -122.48382568359374,\n 38.07187927827001\n ],\n [\n -122.44674682617188,\n 38.11943249695316\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
The goal of biosecurity is to minimize the risk of introduction and transmission of infectious diseases to people, animals, and plants. This is achieved by accurately identifying pathogens and instituting appropriate methods to prevent their introduction, reemergence, and/or spread. However, disease is dynamic, and biosecurity needs to continually change to keep pace as pathogens evolve. As described in this chapter, a basic understanding of evolution is central in considering how genetic changes and their associated phenotypes can alter the disease presentation of pathogens. In addition, evolution leaves a trail of genetic information that can be leveraged to inform biosecurity because the spatiotemporal patterns of these past changes provide clues as to how the pathogen might be spreading. This chapter aims to provide insights into how various genetic alterations occur, the background on how these are informative for biosecurity, and illustrations of applications to real-world examples. Evolution underlies the abilities of pathogens to adapt, emerge, and to cause epidemics.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tactical sciences for biosecurity in animal and plant systems","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"IGI Global","doi":"10.4018/978-1-7998-7935-0.ch002","usgsCitation":"Grunwald, N.J., Brown, C.E., Ip, H., and Chang, J.H., 2022, Genetic processes facilitating pathogen emergence, chap. of Tactical sciences for biosecurity in animal and plant systems, p. 32-53, https://doi.org/10.4018/978-1-7998-7935-0.ch002.","productDescription":"22 p.","startPage":"32","endPage":"53","ipdsId":"IP-123649","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":397527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Cardwell, Kitty F.","contributorId":289267,"corporation":false,"usgs":false,"family":"Cardwell","given":"Kitty","email":"","middleInitial":"F.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":838833,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bailey, Keith L.","contributorId":289268,"corporation":false,"usgs":false,"family":"Bailey","given":"Keith","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":838834,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Grunwald, N. J.","contributorId":289204,"corporation":false,"usgs":false,"family":"Grunwald","given":"N.","email":"","middleInitial":"J.","affiliations":[{"id":62067,"text":"Horticultural Crops Research Lab, USDA Agricultural Research Service, Corvallis, OR, USA","active":true,"usgs":false}],"preferred":false,"id":838712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, C. E.","contributorId":259299,"corporation":false,"usgs":false,"family":"Brown","given":"C.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":838713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":838715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, J. H.","contributorId":289205,"corporation":false,"usgs":false,"family":"Chang","given":"J.","email":"","middleInitial":"H.","affiliations":[{"id":62068,"text":"Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA","active":true,"usgs":false}],"preferred":false,"id":838714,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228184,"text":"70228184 - 2022 - The impacts of mangrove range expansion on wetland ecosystem services in the southeastern United States: Current understanding, knowledge gaps, and emerging research needs","interactions":[],"lastModifiedDate":"2022-04-26T12:04:46.303245","indexId":"70228184","displayToPublicDate":"2022-01-31T10:55:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"The impacts of mangrove range expansion on wetland ecosystem services in the southeastern United States: Current understanding, knowledge gaps, and emerging research needs","docAbstract":"Climate change is transforming ecosystems and affecting ecosystem goods and services. Along the Gulf of Mexico and Atlantic coasts of the southeastern United States, the frequency and intensity of extreme freeze events greatly influences whether coastal wetlands are dominated by freeze-sensitive woody plants (mangrove forests) or freeze-tolerant grass-like plants (salt marshes). In response to warming winters, mangroves have been expanding and displacing salt marshes at varying degrees of severity in parts of north Florida, Louisiana, and Texas. As winter warming accelerates, mangrove range expansion is expected to increasingly modify wetland ecosystem structure and function. Because there are differences in the ecological and societal benefits that salt marshes and mangroves provide, coastal environmental managers are challenged to anticipate effects of mangrove expansion on critical wetland ecosystem services, including those related to carbon sequestration, wildlife habitat, storm protection, erosion reduction, water purification, fisheries support, and recreation. Mangrove range expansion may also affect wetland stability in the face of extreme climatic events and rising sea levels. Here, we review current understanding of the effects of mangrove range expansion and displacement of salt marshes on wetland ecosystem services in the southeastern United States. We also identify critical knowledge gaps and emerging research needs regarding the ecological and societal implications of salt marsh displacement by expanding mangrove forests. One consistent theme throughout our review is that there are ecological trade-offs for consideration by coastal managers. Mangrove expansion and marsh displacement can produce beneficial changes in some ecosystem services, while simultaneously producing detrimental changes in other services. Thus, there can be local-scale differences in perceptions of the impacts of mangrove expansion into salt marshes. For very specific local reasons, some individuals may see mangrove expansion as a positive change to be embraced, while others may see mangrove expansion as a negative change to be constrained.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16111","usgsCitation":"Osland, M., Hughes, A.R., Armitage, A.R., Scyphers, S.B., Cebrian, J., Swinea, S.H., Shepard, C., Allen, M.S., Feher, L., Nelson, J., O’Brien, C.L., Sanspree, C.R., Smee, D.L., Snyder, C.M., Stetter, A.P., Stevens, P.W., Swanson, K., Williams, L.H., Brush, J.M., Marchionno, J., and Bardou, R., 2022, The impacts of mangrove range expansion on wetland ecosystem services in the southeastern United States: Current understanding, knowledge gaps, and emerging research needs: Global Change Biology, v. 28, no. 10, p. 3163-3187, https://doi.org/10.1111/gcb.16111.","productDescription":"25 p.","startPage":"3163","endPage":"3187","ipdsId":"IP-132601","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467202,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/43126","text":"External Repository"},{"id":395545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.12890625,\n 17.14079039331665\n ],\n [\n -79.1015625,\n 17.14079039331665\n ],\n [\n -79.1015625,\n 33.284619968887675\n ],\n [\n -102.12890625,\n 33.284619968887675\n ],\n [\n -102.12890625,\n 17.14079039331665\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, A. Randall","contributorId":177827,"corporation":false,"usgs":false,"family":"Hughes","given":"A.","email":"","middleInitial":"Randall","affiliations":[],"preferred":false,"id":833325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Armitage, Anna R.","contributorId":218913,"corporation":false,"usgs":false,"family":"Armitage","given":"Anna","email":"","middleInitial":"R.","affiliations":[{"id":39935,"text":"Texas A&M Galveston, Galveston, TX USA","active":true,"usgs":false}],"preferred":false,"id":833326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scyphers, Steven B.","contributorId":274810,"corporation":false,"usgs":false,"family":"Scyphers","given":"Steven","middleInitial":"B.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":833327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cebrian, Just","contributorId":218914,"corporation":false,"usgs":false,"family":"Cebrian","given":"Just","email":"","affiliations":[{"id":39936,"text":"Dauphin Island Sea Lab, Dauphin Island, AL USA","active":true,"usgs":false}],"preferred":false,"id":833328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swinea, Savannah H.","contributorId":274811,"corporation":false,"usgs":false,"family":"Swinea","given":"Savannah","email":"","middleInitial":"H.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":833329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shepard, Christine C.","contributorId":274812,"corporation":false,"usgs":false,"family":"Shepard","given":"Christine C.","affiliations":[{"id":56655,"text":"The Nature Conservancy, Gulf of Mexico Program, Key West, FL USA","active":true,"usgs":false}],"preferred":false,"id":833330,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allen, Michael S.","contributorId":274813,"corporation":false,"usgs":false,"family":"Allen","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":56658,"text":"University of Florida, Cedar Key, FL USA","active":true,"usgs":false}],"preferred":false,"id":833331,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":221894,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833332,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, James A.","contributorId":274814,"corporation":false,"usgs":false,"family":"Nelson","given":"James A.","affiliations":[{"id":56659,"text":"University of Louisiana at Lafayette, Lafayette, LA USA","active":true,"usgs":false}],"preferred":false,"id":833333,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O’Brien, Cherie L.","contributorId":274815,"corporation":false,"usgs":false,"family":"O’Brien","given":"Cherie","email":"","middleInitial":"L.","affiliations":[{"id":56660,"text":"Texas Parks and Wildlife Department, Dickinson, TX USA, 9U.S. Fish and Wildlife Service, Austwell, TX USA","active":true,"usgs":false}],"preferred":false,"id":833334,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sanspree, Colt R.","contributorId":274816,"corporation":false,"usgs":false,"family":"Sanspree","given":"Colt","email":"","middleInitial":"R.","affiliations":[{"id":56661,"text":"U.S. Fish and Wildlife Service, Austwell, TX USA","active":true,"usgs":false}],"preferred":false,"id":833335,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smee, Delbert L.","contributorId":274817,"corporation":false,"usgs":false,"family":"Smee","given":"Delbert","email":"","middleInitial":"L.","affiliations":[{"id":39936,"text":"Dauphin Island Sea Lab, Dauphin Island, AL USA","active":true,"usgs":false}],"preferred":false,"id":833336,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Snyder, Caitlin M.","contributorId":218921,"corporation":false,"usgs":false,"family":"Snyder","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":39940,"text":"Apalachicola National Estuarine Research Reserve, Eastpoint, FL USA","active":true,"usgs":false}],"preferred":false,"id":833337,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stetter, Andrew P.","contributorId":274818,"corporation":false,"usgs":false,"family":"Stetter","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":56661,"text":"U.S. Fish and Wildlife Service, Austwell, TX USA","active":true,"usgs":false}],"preferred":false,"id":833338,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Stevens, Philip W.","contributorId":274819,"corporation":false,"usgs":false,"family":"Stevens","given":"Philip","email":"","middleInitial":"W.","affiliations":[{"id":56662,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, St. Petersburg, FL USA","active":true,"usgs":false}],"preferred":false,"id":833339,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Swanson, Kathleen M.","contributorId":195577,"corporation":false,"usgs":false,"family":"Swanson","given":"Kathleen M.","affiliations":[],"preferred":false,"id":833340,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Williams, Lauren H.","contributorId":274820,"corporation":false,"usgs":false,"family":"Williams","given":"Lauren","email":"","middleInitial":"H.","affiliations":[{"id":56663,"text":"The Nature Conservancy, Corpus Christi, TX USA","active":true,"usgs":false}],"preferred":false,"id":833341,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Brush, Janell M.","contributorId":264219,"corporation":false,"usgs":false,"family":"Brush","given":"Janell","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":833342,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Marchionno, Joseph","contributorId":274821,"corporation":false,"usgs":false,"family":"Marchionno","given":"Joseph","email":"","affiliations":[{"id":56664,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, Gainesville, FL USA","active":true,"usgs":false}],"preferred":false,"id":833343,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Bardou, Remi","contributorId":274822,"corporation":false,"usgs":false,"family":"Bardou","given":"Remi","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":833344,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70227772,"text":"70227772 - 2022 - Temporal trends in macroscopic indicators of fish health in the South Branch of the Potomac River","interactions":[],"lastModifiedDate":"2022-04-11T16:53:52.489575","indexId":"70227772","displayToPublicDate":"2022-01-31T10:51:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Temporal trends in macroscopic indicators of fish health in the South Branch of the Potomac River","docAbstract":"Over recent decades, the South Branch of the Potomac River, WV, has experienced fish kills and episodes of suppressed health in adult fishes that have spanned small stretches to nearly 120 km of contiguous habitat. Although factors such as endocrine disruption, chemical contaminants, and infectious agents have been detected, no single causal mechanism has been identified. To gain information about the temporal nature of abnormalities, differences in life stage impacts, and potential risk factors, investigations of rank scores of macroscopic indicators of fish health were conducted utilizing seasonal and annual boat electrofishing surveys for Smallmouth Bass Micropterus dolomieu (SMB) and Golden Redhorse Moxostoma erythrurum (GDR). Gill and body abnormalities were assigned rank scores for each fish based on visual severity and were tested for correlation with seasonal climatic (flow and stream temperature) and environmental factors (stream pH, dissolved oxygen, and turbidity). Analyses between juveniles and adults for these species indicated body lesions were more common for adult GDR and gill lesions were more common for adult SMB. Significantly higher rank sums of adult gill abnormalities corresponded with heavy annual mortality of SMB from ages 2-3 (86%), the age at which this species transitions from juvenile to adult length. Higher ranks were frequently assigned to fish of both species for gill and body/fin lesions during summer and fall samples. Low stream discharges and lower pH units correlated with elevations of body raised lesion (GDR) and erosions (GDR and SMB), as well as erosions of gill lamellae (SMB). This study connects the disciplines of fisheries management, fish health, and environmental monitoring, providing information gained through tracking macroscopic conditions of these two indicator species for the focusing of future studies and better understanding risks to fish health.","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10745","usgsCitation":"Keplinger, B.J., Hedrick, J., and Blazer, V., 2022, Temporal trends in macroscopic indicators of fish health in the South Branch of the Potomac River: North American Journal of Fisheries Management, v. 42, no. 2, p. 277-294, https://doi.org/10.1002/nafm.10745.","productDescription":"18 p.","startPage":"277","endPage":"294","ipdsId":"IP-132936","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":448981,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10745","text":"Publisher Index Page"},{"id":395159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Potomac River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.63739013671874,\n 39.53793974517628\n ],\n [\n -79.4256591796875,\n 38.81403111409755\n ],\n [\n -79.65911865234374,\n 38.59326051987162\n ],\n [\n -79.51629638671875,\n 38.53097889440024\n ],\n [\n -78.97796630859375,\n 38.96795115401593\n ],\n [\n -78.51654052734375,\n 39.41922073655956\n ],\n [\n -78.48358154296875,\n 39.52099229357195\n ],\n [\n -78.63739013671874,\n 39.53793974517628\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Keplinger, Brandon J.","contributorId":204644,"corporation":false,"usgs":false,"family":"Keplinger","given":"Brandon","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hedrick, James","contributorId":272583,"corporation":false,"usgs":false,"family":"Hedrick","given":"James","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":832177,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227768,"text":"sir20215136 - 2022 - Development of hydrocarbon gas standards for stable isotopic composition (δ13C and δ2H)","interactions":[],"lastModifiedDate":"2022-01-31T17:59:42.87648","indexId":"sir20215136","displayToPublicDate":"2022-01-31T10:50:00","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":"2021-5136","displayTitle":"Development of Hydrocarbon Gas Standards for Stable Isotopic Composition (δ13C and δ2H)","title":"Development of hydrocarbon gas standards for stable isotopic composition (δ13C and δ2H)","docAbstract":"A suite of gas standards was developed to serve as international secondary reference materials (RMs) for the determination of the compound-specific carbon-13/carbon-12 (δ13C) and hydrogen-2/hydrogen-1 (δ2H) values of hydrocarbon gases. This report provides background information on the project, the methods used to produce and analyze the gases, as well as the data analysis and recommended stable isotopic values. Additionally, samples of older hydrocarbon gas RMs no longer available were analyzed along with the new RMs to allow for traceability to historical data. These secondary RMs are intended for interlaboratory standardization and traceability to primary RMs. The gaseous RMs are currently (at time of publication) available for purchase from the U.S. Geological Survey Energy Resources Program.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20215136","usgsCitation":"Ellis, G.S., and Dias, R.F., 2022, Development of hydrocarbon gas reference materials for stable isotopic composition (δ13C and δ2H): U.S. Geological Survey Scientific Investigations Report 2021–5136, 22 p., https://doi.org/10.3133/sir20215136.","productDescription":"Report: vii, 22 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-125531","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":395084,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RBXUMD","text":"USGS data release","linkHelpText":"Stable Isotopic Data (δ13C and δ2H) for Reference Materials HCG-1, HCG-2, and HCG-3"},{"id":395083,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5136/sir20215136.pdf","text":"Report","size":"2.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5136"},{"id":395082,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5136/coverthb.jpg"}],"contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 9 bridges at 8 highway crossings of the Missouri River near Kansas City, Missouri, on August 13–14, 2019. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches about 1,550 to 1,660 feet longitudinally and generally extending laterally across the active channel from bank to bank during moderate flood-flow conditions. These surveys indicated the channel conditions at the time of the surveys and provided characteristics of scour holes that may be useful in developing predictive guidelines or equations for scour holes. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood-flow assessment of the bridges for stability and integrity issues with respect to bridge scour during floods.
Bathymetric data were collected around every pier that was in water, except around the nose of one pier that was surrounded by a persistent debris raft. Scour holes were present at most piers for which bathymetry could be obtained, except those on banks or surrounded by riprap. The observed scour holes at the surveyed bridges generally were examined with respect to shape and depth.
Comparisons between bathymetric surfaces from previous surveys and this study do not indicate any consistent correlation in channel-bed elevations with streamflow conditions at the times of the surveys. The predominant overall scour observed between the various surveys implies the channel bed in the 2019 surveys might have been rebounding from more substantial scour caused by the high streamflow earlier in March and June 2019, which was the highest streamflow since 1993. Pier size and nose shape had a substantial effect on the size of the scour hole observed at a given pier. Many of the piers at the Kansas City area bridges have wide or blunt noses caused by exposed footings, seal courses, or caissons, which resulted in large, deep scour holes at most piers. Several of the structures had piers that were skewed to primary approach flow; and, at most of the structures, the scour hole was deeper and longer on the side of the pier with impinging flow than the leeward side, with some amount of deposition on the leeward side, as typically has been observed at piers skewed to approach flow.
Limited additional bathymetric data were collected by the U.S. Geological Survey, in cooperation with Clarkson Construction, near the main channel piers of the U.S. Highway 169 (Broadway) and the Interstate 435 (Randolph) bridges on August 17 and October 23, 2020, to determine the channel-bed conditions before and after installation of scour countermeasures near those piers. Survey results from before and after installation of these countermeasures show these features had a substantial effect on mitigating the observed scour at these piers, particularly when compared to piers at other sites without such features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215098","collaboration":"Prepared in cooperation with the Missouri Department of Transportation and Clarkson Construction","usgsCitation":"Huizinga, R.J., 2022, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, August 2019, August 2020, and October 2020: U.S. Geological Survey Scientific Investigations Report 2021–5098, 112 p., https://doi.org/10.3133/sir20215098.","productDescription":"Report: xii, 112 p.; Data Release; Dataset","numberOfPages":"128","onlineOnly":"Y","ipdsId":"IP-124626","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":395010,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96TX8AE","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River in Kansas City, Missouri, in August 2019, August 2020, and October 2020"},{"id":395008,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5098/coverthb.jpg"},{"id":395013,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5098/images"},{"id":395012,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5098/sir20215098.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2021–5098 XML"},{"id":395011,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"},{"id":395009,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5098/sir20215098.pdf","text":"Report","size":"38.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5098"},{"id":502114,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112326.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Missouri","city":"Kansas City","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.68086242675781,\n 39.102357437817595\n ],\n [\n -94.48722839355467,\n 39.102357437817595\n ],\n [\n -94.48722839355467,\n 39.193948213963665\n ],\n [\n -94.68086242675781,\n 39.193948213963665\n ],\n [\n -94.68086242675781,\n 39.102357437817595\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Magmas with matrix glass compositions ranging from basalt to dacite erupted from a series of 24 fissures in the first two weeks of the 2018 Lower East Rift Zone (LERZ) eruption of Kīlauea Volcano. Eruption styles ranged from low spattering and fountaining to strombolian activity. Major element trajectories in matrix glasses and melt inclusions hosted by olivine, pyroxene and plagioclase are consistent with variable amounts of fractional crystallization, with incompatible elements (e.g., Cl, F, H2O) becoming enriched by 4-5 times as melt MgO contents evolve from 6 to 0.5 wt%. The high viscosity and high H2O contents (∼2 wt%) of the dacitic melts erupting at Fissure 17 account for the explosive Strombolian behavior exhibited by this fissure, in contrast to the low fountaining and spattering observed at fissures erupting basaltic to basaltic-andesite melts. Saturation pressures calculated from melt inclusions CO2-H2O contents indicate that the magma reservoir(s) supplying these fissures was located at ∼2-3 km depth, which is in agreement with the depth of a dacitic magma body intercepted during drilling in 2005 (∼2.5 km) and a seismically-imaged low Vp/Vs anomaly (∼2 km depth). Nb/Y ratios in erupted products are similar to lavas erupted between 1955-1960, indicating that melts were stored and underwent variable amounts of crystallization in the LERZ for >60 years before being remobilized by a dike intrusion in 2018. We demonstrate that extensive fractional crystallization generates viscous and volatile-rich magma with potential for hazardous explosive eruptions, which may be lurking undetected at many ocean island volcanoes.
","language":"English","publisher":"Wiley","doi":"10.1029/2021GC010046","usgsCitation":"Wieser, P.E., Edmonds, M., Gansecki, C., Maclennan, J., Jenner, F.E., Kunz, B., Antoshechkina, P., Trusdell, F., Lee, R.L., and Edinburgh Ion Microprobe Facility, 2022, Explosive activity on Kilauea’s Lower East Rift Zone fueled by a volatile-rich, dacitic melt: Geochemistry, Geophysics, Geosystems (G-Cubed), v. 23, no. 2, e2021GC010046, 24 p., https://doi.org/10.1029/2021GC010046.","productDescription":"e2021GC010046, 24 p.","ipdsId":"IP-132884","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":448986,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gc010046","text":"Publisher Index Page"},{"id":395148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano, Lower East Rift Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.34805297851562,\n 19.243736176569485\n ],\n [\n -154.6820068359375,\n 19.243736176569485\n ],\n [\n -154.6820068359375,\n 19.71241464369998\n ],\n [\n -155.34805297851562,\n 19.71241464369998\n ],\n [\n -155.34805297851562,\n 19.243736176569485\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Wieser, Penny E. 0000-0002-1070-8323","orcid":"https://orcid.org/0000-0002-1070-8323","contributorId":272601,"corporation":false,"usgs":false,"family":"Wieser","given":"Penny","email":"","middleInitial":"E.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":832219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edmonds, Marie 0000-0003-1243-137X","orcid":"https://orcid.org/0000-0003-1243-137X","contributorId":272602,"corporation":false,"usgs":false,"family":"Edmonds","given":"Marie","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":832220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gansecki, Cheryl 0000-0001-5581-9097","orcid":"https://orcid.org/0000-0001-5581-9097","contributorId":215620,"corporation":false,"usgs":false,"family":"Gansecki","given":"Cheryl","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":832221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maclennan, John","contributorId":272838,"corporation":false,"usgs":false,"family":"Maclennan","given":"John","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":832313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenner, Frances E. 0000-0003-2189-6478","orcid":"https://orcid.org/0000-0003-2189-6478","contributorId":272603,"corporation":false,"usgs":false,"family":"Jenner","given":"Frances","email":"","middleInitial":"E.","affiliations":[{"id":47593,"text":"The Open University","active":true,"usgs":false}],"preferred":false,"id":832222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kunz, Barbara 0000-0002-9492-1497","orcid":"https://orcid.org/0000-0002-9492-1497","contributorId":272604,"corporation":false,"usgs":false,"family":"Kunz","given":"Barbara","email":"","affiliations":[{"id":47593,"text":"The Open University","active":true,"usgs":false}],"preferred":false,"id":832223,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Antoshechkina, Paula 0000-0002-3358-5186","orcid":"https://orcid.org/0000-0002-3358-5186","contributorId":272605,"corporation":false,"usgs":false,"family":"Antoshechkina","given":"Paula","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":832224,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":832218,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":223777,"corporation":false,"usgs":true,"family":"Lee","given":"R.","email":"","middleInitial":"Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":832225,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Edinburgh Ion Microprobe Facility","contributorId":272840,"corporation":true,"usgs":false,"organization":"Edinburgh Ion Microprobe Facility","id":832314,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70230214,"text":"70230214 - 2022 - Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit","interactions":[],"lastModifiedDate":"2022-04-05T15:14:54.267946","indexId":"70230214","displayToPublicDate":"2022-01-31T10:08:11","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":"Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit","docAbstract":"Online social networks (OSNs) have become a powerful tool to study collective human responses to extreme events such as earthquakes. Most previous research concentrated on a single platform and utilized users’ behaviors on a single platform to study people’s general responses. In this study, we explore the characteristics of people’s behaviors on different OSNs and conduct a cross-platform analysis of public responses to earthquakes. Our findings support the Uses and Gratification theory that users on Reddit and Twitter are engaging with platforms that they may feel best reflect their sense of self. Using the 2019 Ridgecrest earthquakes as our study cases, we collected 510,579 tweets and 45,770 Reddit posts (including 1437 submissions and 44,333 comments) to answer the following research questions: (1) What were the similarities and differences between public responses on Twitter and Reddit? (2) Considering the different mechanisms of Twitter and Reddit, what unique information of public responses can we learn from Reddit as compared with Twitter? By answering these research questions, we aim to bridge the gap of cross-platform public responses research towards natural hazards. Our study evinces that the users on the two different platforms have both different topics of interest and different sentiments towards the same earthquake, which indicates the necessity of investigating cross-platform OSNs to reveal a more comprehensive picture of people’s general public responses towards certain disasters. Our analysis also finds that r/conspiracy subreddit is one of the major venues where people discuss the 2019 Ridgecrest earthquakes on Reddit and different misinformation/conspiracies spread on Twitter and Reddit platforms (e.g., “Big one is coming” on Twitter and “Nuclear test” on Reddit).
","language":"English","publisher":"Nature","doi":"10.1038/s41598-022-05359-9","usgsCitation":"Ruan, T., Kong, Q., McBride, S., Sethjiwala, A., and Lv, Q., 2022, Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit: Scientific Reports, v. 12, 1634, 14 p., https://doi.org/10.1038/s41598-022-05359-9.","productDescription":"1634, 14 p.","ipdsId":"IP-130275","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":448989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-022-05359-9","text":"Publisher Index Page"},{"id":398116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2022-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruan, Tao 0000-0002-6718-7223","orcid":"https://orcid.org/0000-0002-6718-7223","contributorId":245222,"corporation":false,"usgs":false,"family":"Ruan","given":"Tao","email":"","affiliations":[{"id":12502,"text":"University of Colorado - Boulder","active":true,"usgs":false}],"preferred":false,"id":839572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kong, Qingkai 0000-0002-7399-0661","orcid":"https://orcid.org/0000-0002-7399-0661","contributorId":245223,"corporation":false,"usgs":false,"family":"Kong","given":"Qingkai","email":"","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":839573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sethjiwala, Amatullah","contributorId":289703,"corporation":false,"usgs":false,"family":"Sethjiwala","given":"Amatullah","email":"","affiliations":[],"preferred":false,"id":839575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lv, Qin","contributorId":245227,"corporation":false,"usgs":false,"family":"Lv","given":"Qin","email":"","affiliations":[{"id":12502,"text":"University of Colorado - Boulder","active":true,"usgs":false}],"preferred":false,"id":839576,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227785,"text":"70227785 - 2022 - A conterminous USA-scale map of relative tidal marsh elevation","interactions":[],"lastModifiedDate":"2022-08-01T16:51:17.453042","indexId":"70227785","displayToPublicDate":"2022-01-31T09:46:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A conterminous USA-scale map of relative tidal marsh elevation","docAbstract":"Tidal wetlands provide myriad ecosystem services across local to global scales. With their uncertain vulnerability or resilience to rising sea levels, there is a need for mapping flooding drivers and vulnerability proxies for these ecosystems at a national scale. However, tidal wetlands in the conterminous USA are diverse with differing elevation gradients, and tidal amplitudes, making broad geographic comparisons difficult. To address this, a national-scale map of relative tidal elevation (Z*MHW), a physical metric that normalizes elevation to tidal amplitude at mean high water (MHW), was constructed for the first time at 30 × 30-m resolution spanning the conterminous USA. Contrary to two study hypotheses, watershed-level median Z*MHW and its variability generally increased from north to south as a function of tidal amplitude and relative sea-level rise. These trends were also observed in a reanalysis of ground elevation data from the Pacific Coast by Janousek et al. (Estuaries and Coasts 42 (1): 85–98, 2019). Supporting a third hypothesis, propagated uncertainty in Z*MHW increased from north to south as light detection and ranging (LiDAR) errors had an outsized effect under narrowing tidal amplitudes. The drivers of Z*MHW and its variability are difficult to determine because several potential causal variables are correlated with latitude, but future studies could investigate highest astronomical tide and diurnal high tide inequality as drivers of median Z*MHW and Z*MHW variability, respectively. Watersheds of the Gulf Coast often had propagated Z*MHW uncertainty greater than the tidal amplitude itself emphasizing the diminished practicality of applying Z*MHW as a flooding proxy to microtidal wetlands. Future studies could focus on validating and improving these physical map products and using them for synoptic modeling of tidal wetland carbon dynamics and sea-level rise vulnerability analyses.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-021-01027-9","usgsCitation":"Holmquist, J.R., and Windham-Myers, L., 2022, A conterminous USA-scale map of relative tidal marsh elevation: Estuaries and Coasts, v. 45, p. 1596-1614, https://doi.org/10.1007/s12237-021-01027-9.","productDescription":"19 p.","startPage":"1596","endPage":"1614","ipdsId":"IP-120531","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":448992,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-021-01027-9","text":"Publisher Index Page"},{"id":395143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2022-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Holmquist, James R.","contributorId":173462,"corporation":false,"usgs":false,"family":"Holmquist","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":832239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832240,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230384,"text":"70230384 - 2022 - Human-cougar interactions: A literature review related to common management questions","interactions":[],"lastModifiedDate":"2022-04-11T13:23:17.531367","indexId":"70230384","displayToPublicDate":"2022-01-31T08:20:27","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Human-cougar interactions: A literature review related to common management questions","docAbstract":"Interactions between humans and cougars (Puma concolor) present unique challenges for wildlife managers; reducing occurrences that lead to conflict is a priority for state and provincial wildlife agencies throughout western North America, including Washington. With an increase in management emphasis of human-wildlife conflict resolution, a growing body of scientific literature related to cougar wildland-urban ecology and the factors that contribute to interactions between cougars and people has developed. Based on discussions with the Fish and Wildlife Commission, our 10-member Human-Cougar Interaction Science Review Team assessed both the analytical and ecological merits of current literature, focusing on data and methods, to summarize the current state of knowledge on human-cougar interactions and factors affecting these interactions. We did not use our review findings to provide management recommendations or evaluate/suggest policy alternatives, but we did highlight important information gaps, research needs, and proposed strategies for conducting scientific investigations to benefit managers and policy makers in the future. We used bibliographic lists, keyword searches in research databases, and new literature encountered as citations within papers we reviewed to identify 96 potential studies for review. We evaluated 41 studies that aligned with eight commonly asked questions regarding how various factors contribute to cougar proximity to, and interactions with people. Our review concluded that the roles of cougar removals (Question 1), cougar population size or trajectory (Question 2), the abundance or diversity of prey (Question 3), human population size, distribution, or recreation levels (Question 6), human attitudes (Question 7), and competition with other large carnivores (Question 8) in cougar interactions with people remain uncertain. We found the studies evaluating the efficacy of nonlethal deterrents (Question 4) provided some evidence that these methods reduce conflict, most notably that flashing lights can reduce interactions in specific situations. Our review of papers investigating the role of landscape characteristics (Question 5) revealed spatial ecology to be the most reliably studied and best understood facet of cougar wildland-urban ecology; study designs in these investigations were also the most rigorous. Most cougar use, and subsequent interactions with people, occur at the wildland-urban interface or in exurban and rural residential settings immediately adjacent because these habitats provide both abundant native prey (deer) and stalking cover, or they retain enough native landcover, connectivity, and prey to support cougar use, but with a human presence at a level that does not substantially deter cougars. We identified only a limited number of informative studies in our review, primarily because many studies did not collect data to specifically address relevant management questions after developing testable hypotheses. Much of the literature we reviewed was derived from ad hoc mining of pre-existing data that had been collected for other routine reasons, data were often not assessed for accuracy, and confounding factors were inadequately addressed. Consequently, many factors theorized to contribute to cougar interactions with people require more rigorous investigation. Because wildland-urban systems are complex, and interactions encompass both human and cougar behavior, we recommend the use of long-term studies that incorporate both ecological and anthropogenic factors within a control-treatment design with replicate study sites to address questions with direct management relevance.
","language":"English","publisher":"Washington Department of Fish and Wildlife","usgsCitation":"Kertson, B., McCorquodale, S.M., Anderson, C.R., Aoude, A.N., Beausoleil, R., Cope, M.G., Hurley, M.A., Johnson, B.K., Sargeant, G., and Simek, S., 2022, Human-cougar interactions: A literature review related to common management questions, v, 73 p.","productDescription":"v, 73 p.","ipdsId":"IP-137083","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":398461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398450,"type":{"id":15,"text":"Index Page"},"url":"https://wdfw.wa.gov/publications/02296"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kertson, B. N.","contributorId":289999,"corporation":false,"usgs":false,"family":"Kertson","given":"B. N.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":840135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCorquodale, S. M.","contributorId":290000,"corporation":false,"usgs":false,"family":"McCorquodale","given":"S.","email":"","middleInitial":"M.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":840136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, C. R.","contributorId":290001,"corporation":false,"usgs":false,"family":"Anderson","given":"C.","email":"","middleInitial":"R.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":840137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aoude, Anis N.","contributorId":290003,"corporation":false,"usgs":false,"family":"Aoude","given":"Anis","email":"","middleInitial":"N.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":840138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beausoleil, R. A.","contributorId":290006,"corporation":false,"usgs":false,"family":"Beausoleil","given":"R. A.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":840139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cope, M. G.","contributorId":290009,"corporation":false,"usgs":false,"family":"Cope","given":"M.","email":"","middleInitial":"G.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":840140,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hurley, M. A.","contributorId":290012,"corporation":false,"usgs":false,"family":"Hurley","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":62300,"text":"Idaho Fish and Game","active":true,"usgs":false}],"preferred":false,"id":840141,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, B. K.","contributorId":290015,"corporation":false,"usgs":false,"family":"Johnson","given":"B.","email":"","middleInitial":"K.","affiliations":[{"id":62301,"text":"Oregon Department of Fish and Wildlife (retired)","active":true,"usgs":false}],"preferred":false,"id":840142,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sargeant, Glen A. 0000-0003-3845-8503","orcid":"https://orcid.org/0000-0003-3845-8503","contributorId":219538,"corporation":false,"usgs":true,"family":"Sargeant","given":"Glen A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":840143,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Simek, S. L.","contributorId":290019,"corporation":false,"usgs":false,"family":"Simek","given":"S. L.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":840144,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70227734,"text":"mcs2022 - 2022 - Mineral commodity summaries 2022","interactions":[],"lastModifiedDate":"2026-03-25T16:48:33.121414","indexId":"mcs2022","displayToPublicDate":"2022-01-31T08:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":323,"text":"Mineral Commodity Summaries","code":"MCS","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022","displayTitle":"Mineral Commodity Summaries 2022","title":"Mineral commodity summaries 2022","docAbstract":"Each mineral commodity chapter of the 2022 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production, reserves, and resources. The MCS is the earliest comprehensive source of 2021 mineral production data for the world. More than 90 individual minerals and materials are covered by 2-page synopses.
For mineral commodities for which there is a Government stockpile, detailed information concerning the stockpile status is included in the 2-page synopsis.
Abbreviations and units of measure and definitions of selected terms used in the report are in Appendix A and Appendix B, respectively. Reserves and resources information is in Appendix C, which includes “Part A—Resource and Reserve Classification for Minerals” and “Part B—Sources of Reserves Data.” A directory of USGS minerals information country specialists and their responsibilities is in Appendix D.
The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the MCS 2022 are welcomed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/mcs2022","usgsCitation":"U.S. Geological Survey, 2022, Mineral commodity summaries 2022: U.S. Geological Survey, 202 p., https://doi.org/10.3133/mcs2022.","productDescription":"Report: 202 p.; Data Release","numberOfPages":"202","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-135364","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":394990,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/periodicals/mcs2022/coverthb.jpg"},{"id":394991,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/periodicals/mcs2022/mcs2022.pdf","text":"Report","size":"14.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"MCS 2022"},{"id":394992,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/national-minerals-information-center/mineral-commodity-summaries","text":"Mineral Commodity Summaries Prior to 2022"},{"id":501519,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112322.htm","linkFileType":{"id":5,"text":"html"}},{"id":395043,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KKMCP4","text":"USGS data release","linkHelpText":"Data release for mineral commodity summaries 2022"},{"id":394993,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/national-minerals-information-center/commodity-statistics-and-information","text":"Commodity Statistics and Information"}],"contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
The Interagency Ocean Observation Committee (IOOC) is chartered by the White House Office of Science and Technology Policy (OSTP) Subcommittee on Ocean Science and Technology (SOST). The purpose of the IOOC is to advise, assist, and make recommendations to the SOST on matters related to ocean observations via task teams such as the Biology - Integrating Core to Essential Variables (Bio-ICE) task team. The goal of the Bio-ICE task team is to advance the integration of biological observations from local, regional, and federal sources using best practices to inform national needs and ultimately feed seamlessly into the Global Ocean Observing System (GOOS), as appropriate. To accomplish this goal, and for the first time at the U.S. federal government level, a subgroup of the Bio-ICE task team focused on tropical, shallow-water (0-30 m) hard corals to identify commonalities between the U.S. Integrated Ocean Observing System (IOOS) core biological variable1 of “coral species and abundance,” the GOOS Essential Ocean Variable2 (EOV) “hard coral cover and composition,” the Group on Earth Observations Biological Observation Network (GEO BON) Essential Biodiversity Variables3 (EBVs), and the Global Climate Observing System (GCOS) Essential Climate Variables4 (ECVs) (Figure 1). The EOV data allows production of EBVs such as time series of maps of genetic composition, species populations, etc. Recognizing the complementarity of the different essential variable frameworks helps to promote best practices in observing and information management to facilitate data interoperability (Figure 1). The task team was charged with identifying where there are synergies in terms of spatial and temporal observing requirements and existing observation infrastructure and data delivery, including best practices and standard operating procedures. The task team also made suggestions to improve pathways for data flow for observations of these variables from Regional Associations of the U.S. IOOS, other nonfederal partners, and federal sources. The focus of the task team was on identifying and implementing best practices surrounding standardized data collection and data delivery to make continued progress toward adhering to the Findability, Accessibility, Interoperability, and Reuse (FAIR) and Collective benefit, Authority to control, Responsibility, and Ethics (CARE) data principles.
","language":"English","publisher":"Interagency Ocean Observation Committee (IOOC)","usgsCitation":"Towle, E.K., Benson, A., Biddle, M., Bingo, S., Brucker, K., Canonico, G., Chory, M., Desai, K., Edmondson, M., Figuerola, M., Horstmann, C., Jackson, S., Koss, J., Landrum, J., Lohr, K., Lorenzoni, L., Mayfield, A., Melzin, B., Muller-Karger, F., O’Conner, S., Santavy, D., Storlazzi, C.D., Toline, A., Torres-Perez, J., and Yates, K.K., 2022, Biology: Integrating core to essential variables (Bio-ICE) task team report for hard corals: Task Team Report, 30 p.","productDescription":"30 p.","ipdsId":"IP-136937","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":409792,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409777,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.iooc.us/task-teams/bio-ice/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Towle, E. K.","contributorId":299459,"corporation":false,"usgs":false,"family":"Towle","given":"E.","email":"","middleInitial":"K.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":857849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":202078,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":857850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biddle, Matt","contributorId":299460,"corporation":false,"usgs":false,"family":"Biddle","given":"Matt","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":857851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bingo, Sarah","contributorId":299462,"corporation":false,"usgs":false,"family":"Bingo","given":"Sarah","email":"","affiliations":[{"id":64853,"text":"PacIOOS","active":true,"usgs":false}],"preferred":false,"id":857852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brucker, Kaitlyn","contributorId":299463,"corporation":false,"usgs":false,"family":"Brucker","given":"Kaitlyn","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":857853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Canonico, Gabrielle","contributorId":217563,"corporation":false,"usgs":false,"family":"Canonico","given":"Gabrielle","email":"","affiliations":[{"id":39659,"text":"National Oceanographic and Atmospheric Administration, US Integrated Ocean Observing System, Silver Spring, MD, USA","active":true,"usgs":false}],"preferred":false,"id":857867,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chory, Maggie","contributorId":299465,"corporation":false,"usgs":false,"family":"Chory","given":"Maggie","email":"","affiliations":[{"id":64854,"text":"COL","active":true,"usgs":false}],"preferred":false,"id":857854,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Desai, Kruit","contributorId":299466,"corporation":false,"usgs":false,"family":"Desai","given":"Kruit","email":"","affiliations":[{"id":64854,"text":"COL","active":true,"usgs":false}],"preferred":false,"id":857855,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edmondson, Masha","contributorId":299467,"corporation":false,"usgs":false,"family":"Edmondson","given":"Masha","email":"","affiliations":[{"id":64854,"text":"COL","active":true,"usgs":false}],"preferred":false,"id":857856,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Figuerola, Miguel","contributorId":299468,"corporation":false,"usgs":false,"family":"Figuerola","given":"Miguel","email":"","affiliations":[{"id":64856,"text":"PR-DNRA","active":true,"usgs":false}],"preferred":false,"id":857857,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Horstmann, Christina","contributorId":272093,"corporation":false,"usgs":false,"family":"Horstmann","given":"Christina","email":"","affiliations":[{"id":56350,"text":"Oak Ridge Institute for Science Education Participant at US EPA","active":true,"usgs":false}],"preferred":false,"id":857858,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jackson, Susan K","contributorId":272091,"corporation":false,"usgs":false,"family":"Jackson","given":"Susan K","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":857859,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Koss, Jen","contributorId":299477,"corporation":false,"usgs":false,"family":"Koss","given":"Jen","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":857868,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Landrum, J.","contributorId":299496,"corporation":false,"usgs":false,"family":"Landrum","given":"J.","email":"","affiliations":[],"preferred":false,"id":857912,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lohr, Kathryn","contributorId":299472,"corporation":false,"usgs":false,"family":"Lohr","given":"Kathryn","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":857861,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lorenzoni, Laura","contributorId":212785,"corporation":false,"usgs":false,"family":"Lorenzoni","given":"Laura","email":"","affiliations":[{"id":38682,"text":"NASA Earth Science Division","active":true,"usgs":false}],"preferred":false,"id":857913,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mayfield, Anderson","contributorId":299473,"corporation":false,"usgs":false,"family":"Mayfield","given":"Anderson","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":857862,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Melzin, Brian","contributorId":299474,"corporation":false,"usgs":false,"family":"Melzin","given":"Brian","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":857863,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Muller-Karger, Frank","contributorId":218424,"corporation":false,"usgs":false,"family":"Muller-Karger","given":"Frank","affiliations":[],"preferred":false,"id":857864,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"O’Conner, Sarah","contributorId":299475,"corporation":false,"usgs":false,"family":"O’Conner","given":"Sarah","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":857865,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Santavy, Deb","contributorId":299476,"corporation":false,"usgs":false,"family":"Santavy","given":"Deb","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":857866,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":857869,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Toline, Anna","contributorId":299478,"corporation":false,"usgs":false,"family":"Toline","given":"Anna","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":857870,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Torres-Perez, Juan","contributorId":299479,"corporation":false,"usgs":false,"family":"Torres-Perez","given":"Juan","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":857871,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Yates, Kimberly K. 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":214349,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":857872,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}} ,{"id":70227838,"text":"70227838 - 2022 - Bear diets and human-bear conflicts: Insights from isotopic ecology","interactions":[],"lastModifiedDate":"2022-07-07T16:33:55.479161","indexId":"70227838","displayToPublicDate":"2022-01-30T16:04:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2651,"text":"Mammal Review","active":true,"publicationSubtype":{"id":10}},"title":"Bear diets and human-bear conflicts: Insights from isotopic ecology","docAbstract":"Bears, Ursidae, are considered omnivores, except for giant pandas Ailuropoda melanoleuca and polar bears Ursus maritimus. However, omnivory includes a wide range of dietary variation and trophic positions, making bear dietary ecology unclear. We inferred bear trophic positions from δ15N (‰) values and examined their correlation with diets reported in the literature, including frequency of human–bear conflicts (livestock predation and crop damage incidents). Overall, 15N signatures were consistent with diet estimates. Bear species with higher 15N signatures differed more from each other, including cases of large regional intraspecific variance, than bear species with lower 15N signatures. Bear trophic position and frequency of reports of human–bear conflicts were uncorrelated, suggesting that livestock predation by bears is an opportunistic behaviour rather than a response to food availability dynamics.
","language":"English","publisher":"Wiley","doi":"10.1111/mam.12285","usgsCitation":"Falconi, N., Carlo, T.A., Fuller, T., DeStefano, S., and Organ, J.F., 2022, Bear diets and human-bear conflicts: Insights from isotopic ecology: Mammal Review, v. 52, no. 3, p. 322-327, https://doi.org/10.1111/mam.12285.","productDescription":"6 p.","startPage":"322","endPage":"327","ipdsId":"IP-129330","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Falconi, Nereyda","contributorId":272944,"corporation":false,"usgs":false,"family":"Falconi","given":"Nereyda","email":"","affiliations":[],"preferred":false,"id":832405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlo, Tomas A.","contributorId":272945,"corporation":false,"usgs":false,"family":"Carlo","given":"Tomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":832406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Todd K.","contributorId":270781,"corporation":false,"usgs":false,"family":"Fuller","given":"Todd K.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeStefano, Stephen","contributorId":272946,"corporation":false,"usgs":false,"family":"DeStefano","given":"Stephen","affiliations":[],"preferred":false,"id":832408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832409,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254802,"text":"70254802 - 2022 - High densities of conspecifics buffer native fish from negative interactions with an ecologically similar invasive","interactions":[],"lastModifiedDate":"2024-06-10T17:58:47.428164","indexId":"70254802","displayToPublicDate":"2022-01-29T12:47:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"High densities of conspecifics buffer native fish from negative interactions with an ecologically similar invasive","docAbstract":"Invasive species are a leading cause for native species declines, but it remains unclear whether maintenance of high native densities influence native persistence in freshwater systems. We designed complementary laboratory and field experiments to test whether high native cutthroat trout (Oncorhynchus clarkii) densities affect competition with invasive brown trout (Salmo trutta). We manipulated density of native cutthroat trout while holding brown trout density constant. Interspecific aggressive interactions towards native cutthroat trout were 66% fewer in the highest cutthroat trout density treatment compared to the lowest density treatment. At high densities of conspecifics, cutthroat trout, sympatric with brown trout, lost 33-81% less weight and demonstrated 1.5 times greater survival in both experiments than at low conspecific densities. Cutthroat trout held at low densities in laboratory experiments experienced greater stress-related disease virulence and negative effects of harassment, apparently owing to more frequent aggressive interactions with brown trout. These results support the hypothesis that reduced per capita effects of invaders on native fish at high densities buffers native species from negative effects of invaders, reducing the potential for invasive fish to displace high density native fish populations.","language":"English","publisher":"Springer Nature","doi":"10.1007/s10530-021-02725-y","usgsCitation":"Pennock, C., Saunders, W., and Budy, P., 2022, High densities of conspecifics buffer native fish from negative interactions with an ecologically similar invasive: Biological Invasions, v. 24, p. 1283-1297, https://doi.org/10.1007/s10530-021-02725-y.","productDescription":"15 p.","startPage":"1283","endPage":"1297","ipdsId":"IP-130496","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Logan River","volume":"24","noUsgsAuthors":false,"publicationDate":"2022-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Pennock, Casey A.","contributorId":337668,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saunders, W. Carl","contributorId":337669,"corporation":false,"usgs":false,"family":"Saunders","given":"W. Carl","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":902609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":902607,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256719,"text":"70256719 - 2022 - Tracking spatial regimes in animal communities: Implications for resilience-based management","interactions":[],"lastModifiedDate":"2024-09-03T16:17:05.511321","indexId":"70256719","displayToPublicDate":"2022-01-29T11:08:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Tracking spatial regimes in animal communities: Implications for resilience-based management","docAbstract":"Spatial regimes (the spatial extents of ecological states) exhibit strong spatiotemporal order as they expand or contract in response to retreating or encroaching adjacent spatial regimes (e.g., woody plant invasion of grasslands) and human management (e.g., fire treatments). New methods enable tracking spatial regime boundaries via vegetation landcover data, and this approach is being used for strategic management across biomes. A clear advancement would be incorporating animal community data to track spatial regime boundaries alongside vegetation data. In a 41,170-hectare grassland experiencing woody plant encroachment, we test the utility of using animal community data to track spatial regimes via two hypotheses. (H1) Spatial regime boundaries identified via independent vegetation and animal datasets will exhibit spatial synchrony; specifically, grassland:woodland bird community boundaries will synchronize with grass:woody vegetation boundaries. (H2) Negative feedbacks will stabilize spatial regimes identified via animal data; specifically, frequent fire treatments will stabilize grassland bird community boundaries. We used 26 years of bird community and vegetation data alongside 32 years of fire history data. We identified spatial regime boundaries with bird community data via a wombling approach. We identified spatial regime boundaries with vegetation data by calculating spatial covariance between remotely-sensed grass and woody plant cover per pixel. For fire history data, we calculated the cumulative number of fires per pixel. Setting bird boundary strength (wombling R2 values) as the response variable, we tested our hypotheses with a hierarchical generalized additive model (HGAM). Both hypotheses were supported: animal boundaries synchronized with vegetation boundaries in space and time, and grassland bird communities stabilized as fire frequency increased (HGAM explained 38% of deviance). We can now track spatial regimes via animal community data pixel-by-pixel and year-by-year. Alongside vegetation boundary tracking, tracking animal community boundaries can inform the scale of management necessary to maintain animal communities endemic to desirable ecological states. Our approach will be especially useful for conserving animal communities requiring large-scale, unfragmented landscapes—like grasslands and steppes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.108567","usgsCitation":"Roberts, C.P., Uden, D.R., Allen, C., Angeler, D., Powell, L., Allred, B.W., Jones, M., Maestas, J.D., and Twidwell, D., 2022, Tracking spatial regimes in animal communities: Implications for resilience-based management: Ecological Indicators, v. 136, 108567, 9 p., https://doi.org/10.1016/j.ecolind.2022.108567.","productDescription":"108567, 9 p.","ipdsId":"IP-133356","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":448996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.108567","text":"Publisher Index Page"},{"id":433414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Fort Riley Army Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.96213921773204,\n 39.311060889325915\n ],\n [\n -96.96422797821519,\n 39.2045692635035\n ],\n [\n -96.9059515607264,\n 39.170753927787935\n ],\n [\n -96.87441127742586,\n 39.12982552331178\n ],\n [\n -96.87065150855537,\n 39.06172160474132\n ],\n [\n -96.83117393541791,\n 39.03739558273512\n ],\n [\n -96.75242766519114,\n 39.027994666034715\n ],\n [\n -96.70313291778122,\n 39.08988085180364\n ],\n [\n -96.68057430455956,\n 39.133608110581775\n ],\n [\n -96.68057430455947,\n 39.2068138331922\n ],\n [\n -96.74490812745047,\n 39.242505115215266\n ],\n [\n -96.84683963904419,\n 39.30135970662323\n ],\n [\n -96.96213921773204,\n 39.311060889325915\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"136","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":908768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R.","contributorId":246029,"corporation":false,"usgs":false,"family":"Allen","given":"Craig R.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":908769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":908770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powell, Larkin A.","contributorId":15100,"corporation":false,"usgs":true,"family":"Powell","given":"Larkin A.","affiliations":[],"preferred":false,"id":908771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allred, Brady W","contributorId":216378,"corporation":false,"usgs":false,"family":"Allred","given":"Brady","email":"","middleInitial":"W","affiliations":[{"id":39397,"text":"W.A. Franke College of Forestry and Conservation University of Montana, Missoula","active":true,"usgs":false}],"preferred":false,"id":908772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Matthew O.","contributorId":341488,"corporation":false,"usgs":false,"family":"Jones","given":"Matthew O.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":908773,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maestas, Jeremy D","contributorId":191086,"corporation":false,"usgs":false,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":908774,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Twidwell, Dirac","contributorId":341491,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":908775,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70230236,"text":"70230236 - 2022 - Typology development of earthquake displays in free-choice learning environments, to inform earthquake early warning education in the United States","interactions":[],"lastModifiedDate":"2022-04-05T14:48:51.971088","indexId":"70230236","displayToPublicDate":"2022-01-29T09:46:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Typology development of earthquake displays in free-choice learning environments, to inform earthquake early warning education in the United States","docAbstract":"Free-choice learning environments, such as museums, national parks, interpretive trails, and visitor centers, are trusted sources of information in their communities and support lifelong learning. Earthquake education in these spaces creates awareness of earthquake hazards and risk in areas where people live or visit and, in turn, may increase engagement in preparedness behavior. The ShakeAlert® Earthquake Early Warning System helps publics prepare by warning in advance of shaking from significant earthquakes along the West Coast of the United States. ShakeAlert can minimize earthquake damage by prompting automated actions (e.g., slowing trains, shutting off water valves) and prompting personal protective actions like “Drop, Cover, and Hold On” to significantly reduce damage, injury, and loss of life. Individuals and communities must have a basic understanding of earthquake hazards, as well as an awareness of ShakeAlert technology, to know how to respond if they feel shaking or receive an alert. Currently, there is a lack of contemporary scholarship on how free-choice learning environments approach earthquake education through exhibits and displays. We analyzed a sample of existing earthquake exhibits and their themes in the United States and explored how different display types are uniquely engaging. We found that most displays did not include information about how to prepare for an earthquake or associated protective actions. From this and the development of the typology, our research posits a foundational framework for how best to incorporate place-based learning on earthquakes and early warning into centers of free-choice learning which may apply to a range of other natural hazards and will enhance public awareness and safety.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2022.102802","usgsCitation":"Sumy, D.F., Jenkins, M.R., McBride, S., and deGroot, R.M., 2022, Typology development of earthquake displays in free-choice learning environments, to inform earthquake early warning education in the United States: International Journal of Disaster Risk Reduction, v. 73, 102802, 31 p., https://doi.org/10.1016/j.ijdrr.2022.102802.","productDescription":"102802, 31 p.","ipdsId":"IP-136248","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":448999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2022.102802","text":"Publisher Index Page"},{"id":398109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.060546875,\n 18.020527657852337\n ],\n [\n -66.2255859375,\n 17.916022703877665\n ],\n [\n -65.6103515625,\n 17.97873309555617\n ],\n [\n -65.2587890625,\n 18.124970639386515\n ],\n [\n -65.5224609375,\n 18.458768120015126\n ],\n [\n -66.11572265625,\n 18.542116654448996\n ],\n [\n -66.95068359374999,\n 18.60460138845525\n ],\n [\n -67.34619140625,\n 18.542116654448996\n ],\n [\n -67.2802734375,\n 17.99963161491187\n ],\n [\n -67.060546875,\n 18.020527657852337\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sumy, Danielle F.","contributorId":108025,"corporation":false,"usgs":true,"family":"Sumy","given":"Danielle","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":839623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Mariah Ramona 0000-0001-8944-4422","orcid":"https://orcid.org/0000-0001-8944-4422","contributorId":289695,"corporation":false,"usgs":true,"family":"Jenkins","given":"Mariah","email":"","middleInitial":"Ramona","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":839625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"deGroot, Robert Michael 0000-0001-9995-4207","orcid":"https://orcid.org/0000-0001-9995-4207","contributorId":239577,"corporation":false,"usgs":true,"family":"deGroot","given":"Robert","email":"","middleInitial":"Michael","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839626,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227859,"text":"70227859 - 2022 - Condition of macroinvertebrate communities in the Buffalo River Area of Concern following sediment remediation","interactions":[],"lastModifiedDate":"2022-02-01T17:43:25.670538","indexId":"70227859","displayToPublicDate":"2022-01-28T11:37:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Condition of macroinvertebrate communities in the Buffalo River Area of Concern following sediment remediation","docAbstract":"The lower 10 km of the Buffalo River, a tributary to Lake Erie, was designated as an Area of Concern (AOC) in 1987 through the Great Lakes Water Quality Agreement because sediment contamination and habitat alteration from past industrialization caused several Beneficial Use Impairments (BUIs). Extensive remediation efforts conducted between 2011 and 2015 removed approximately 688,100 cubic meters of contaminated sediment from the Buffalo River AOC, and subsequent chemical analysis of sediments indicated that most remedial goals had been achieved. Benthic macroinvertebrate communities and sediment toxicity were evaluated in the AOC and an upstream reference area in 2017 and 2020 to determine whether remediation has improved benthic conditions sufficiently that the benthos BUI designation can be removed. Community condition was characterized using the New York State multi-metric index of biological integrity and bed sediments were used for 10-day toxicity tests with Chironomus dilutus and Hyalella azteca. Macroinvertebrate communities were classified as moderately to slightly impacted at most AOC sites compared to slightly impacted at most reference sites, but toxicity tests did not identify any evidence of toxicity in sediments from the AOC. A linear mixed effects model indicated that total organic carbon concentration in sediments, distance upstream from the river mouth, and the relative dominance of zebra mussels Dreissena polymorpha were the primary predictors of macroinvertebrate community condition. These findings are consistent with those from other AOCs in New York which indicate that contemporary benthic communities are generally shaped by legacy habitat alterations rather than AOC-specific sediment contamination and toxicity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.11.002","usgsCitation":"George, S.D., Duffy, B.T., Baldigo, B., Skaros, D., and Smith, A., 2022, Condition of macroinvertebrate communities in the Buffalo River Area of Concern following sediment remediation: Journal of Great Lakes Research, v. 48, no. 1, p. 183-194, https://doi.org/10.1016/j.jglr.2021.11.002.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-129186","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":449003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.11.002","text":"Publisher Index Page"},{"id":395221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Buffalo River area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.87908935546874,\n 42.83015652099459\n ],\n [\n -78.74862670898438,\n 42.83015652099459\n ],\n [\n -78.74862670898438,\n 42.895585521720584\n ],\n [\n -78.87908935546874,\n 42.895585521720584\n ],\n [\n -78.87908935546874,\n 42.83015652099459\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, Brian T.","contributorId":272971,"corporation":false,"usgs":false,"family":"Duffy","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":832427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skaros, Damianos","contributorId":272972,"corporation":false,"usgs":false,"family":"Skaros","given":"Damianos","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":832429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Alexander J.","contributorId":140345,"corporation":false,"usgs":false,"family":"Smith","given":"Alexander J.","affiliations":[{"id":13464,"text":"Environmental Analyst, NY State Dept of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":832430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70229766,"text":"70229766 - 2022 - Bridled Quail-Dove (Geotrygon mystacea)","interactions":[],"lastModifiedDate":"2022-03-17T14:22:23.461445","indexId":"70229766","displayToPublicDate":"2022-01-28T09:20:30","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"Bridled Quail-Dove (Geotrygon mystacea)","title":"Bridled Quail-Dove (Geotrygon mystacea)","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Birds of the world","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cornell Lab of Ornithology","doi":"10.2173/bow.brqdov1.02","usgsCitation":"Boal, C.W., and Madden, H., 2022, Bridled Quail-Dove (Geotrygon mystacea), chap. of Birds of the world, HTML Document, https://doi.org/10.2173/bow.brqdov1.02.","productDescription":"HTML Document","ipdsId":"IP-127687","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":397227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":838227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madden, H.","contributorId":288694,"corporation":false,"usgs":false,"family":"Madden","given":"H.","email":"","affiliations":[{"id":61828,"text":"Caribbean Netherlands Science Institute","active":true,"usgs":false}],"preferred":false,"id":838228,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228739,"text":"70228739 - 2022 - Behavior of female adult Pacific lamprey (Entosphenus tridentatus) exposed to natural and synthesized odors","interactions":[],"lastModifiedDate":"2022-07-07T16:39:13.474066","indexId":"70228739","displayToPublicDate":"2022-01-28T08:35:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Behavior of female adult Pacific lamprey (Entosphenus tridentatus) exposed to natural and synthesized odors","docAbstract":"Conservation and management of Pacific Lamprey Entosphenus tridentatus and other imperiled lamprey species could include the use of chemosensory cues to attract or repel migrating adults. For restoration programs, passage of adult lamprey at dams might be improved by using cues to help guide lamprey through fishway entrances. In contrast, odors might repel unwanted invasive Sea Lamprey Petromyzon marinus in the Laurentian Great Lakes from spawning habitats or improve trapping efficiency. We conducted bioassays with Pacific Lamprey in a two-choice maze to evaluate the behavioral response of pre-ovulatory adult females to introduced chemical cues and changes in flow. During overnight tests, for each female we measured the number of entries into each arm of the maze and the amount of time spent in each arm after application of natural odors from pre-spawning conspecifics (males and females) in one of the arms. Using the same methods, we also tested whether adult females were attracted to natural odor from spermiating males, to a synthesized (artificially produced) component of a Sea Lamprey sex pheromone (3-keto petromyzonol sulfate, 3kPZS), or to an attraction flow (12 L/min as reference). In all tests, the lamprey showed consistent nocturnal activity, typically moving from sunset until sunrise and remaining inactive during daylight hours. For natural odors, the number of entries and the amount of time females spent in the treatment arm were not significantly different between control and treatment periods. However, females spent significantly less time in the treatment arm with the synthesized 3kPZS than when no odor was delivered. Females showed strong, positive responses to the attraction flow and with our assay, we could identify significant behavioral responses when the differences between the control and experimental means were greater than 15-20%. The response of lampreys to sex pheromones may be species-specific, with Pacific Lamprey less likely to respond to conspecific odors than Sea Lamprey.
","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-21-014","usgsCitation":"Hayes, M., Moser, M.L., Burke, B.J., Jackson, A.D., and Johnson, N.S., 2022, Behavior of female adult Pacific lamprey (Entosphenus tridentatus) exposed to natural and synthesized odors: Journal of Fish and Wildlife Management, v. 13, no. 1, p. 94-105, https://doi.org/10.3996/JFWM-21-014.","productDescription":"12 p.","startPage":"94","endPage":"105","ipdsId":"IP-122941","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":449006,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-014","text":"Publisher Index Page"},{"id":435987,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MXOKUT","text":"USGS data release","linkHelpText":"Behavior of female adult Pacific lamprey (Entosphenus tridentatus) exposed to natural and synthesized odors"},{"id":396094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Mike 0000-0002-9060-0565","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":279633,"corporation":false,"usgs":true,"family":"Hayes","given":"Mike","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":835238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moser, Mary L.","contributorId":195100,"corporation":false,"usgs":false,"family":"Moser","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":835239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burke, Brian J.","contributorId":196656,"corporation":false,"usgs":false,"family":"Burke","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":835240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Aaron D.","contributorId":196655,"corporation":false,"usgs":false,"family":"Jackson","given":"Aaron","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":835241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":835242,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228048,"text":"70228048 - 2022 - Assessing effects of sediment delivery to coral reefs: A Caribbean watershed perspective","interactions":[],"lastModifiedDate":"2022-02-03T14:36:45.836573","indexId":"70228048","displayToPublicDate":"2022-01-28T08:33:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Assessing effects of sediment delivery to coral reefs: A Caribbean watershed perspective","docAbstract":"Coral reefs in the western Atlantic and Caribbean are deteriorating primarily from disease outbreaks, increasing seawater temperatures, and stress due to land-based sources of pollutants including sediments associated with land use and dredging. Sediments affect corals in numerous ways including smothering, abrasion, shading, and inhibition of coral recruitment. Sediment delivery resulting in deposition and water quality deterioration can cause degradation at the spatial scale of corals or entire reefs. We still lack rigorous long-term studies of coral cover and community composition before, during and after major sediment stress, and evidence of recovery after watershed management actions. Here we present an overview of the effects of terrestrial sediments on corals and coral reefs, with recent advances in approaches to watershed assessment relevant to the delivery of sediments to these ecosystems. We present case studies of northeastern Caribbean watersheds to illustrate challenges and possible solutions and to draw conclusions about the current state of knowledge of sediment effects on coral reefs. With a better understanding of erosion and the pathways of sediment discharge to nearshore reefs, there is the increased potential for management interventions.
","language":"English","publisher":"Frontiers Media S.A.","doi":"10.3389/fmars.2021.773968","usgsCitation":"Rogers, C., and Ramos-Scharron, C.E., 2022, Assessing effects of sediment delivery to coral reefs: A Caribbean watershed perspective: Frontiers in Marine Science, v. 8, 773968, 23 p., https://doi.org/10.3389/fmars.2021.773968.","productDescription":"773968, 23 p.","ipdsId":"IP-127009","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":449009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.773968","text":"Publisher Index Page"},{"id":395343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2022-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Rogers, Caroline 0000-0001-9056-6961","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":223023,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramos-Scharron, Carlos E.","contributorId":274400,"corporation":false,"usgs":false,"family":"Ramos-Scharron","given":"Carlos","email":"","middleInitial":"E.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":832965,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}